[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"summary-2a126068ed5ab49f-reducing-over-crediting-in-llm-agent-evaluation-summary":3,"summaries-facets-categories":102,"summary-related-2a126068ed5ab49f-reducing-over-crediting-in-llm-agent-evaluation-summary":6570},{"id":4,"title":5,"ai":6,"body":13,"categories":72,"created_at":74,"date_modified":74,"description":66,"extension":75,"faq":74,"featured":76,"kicker_label":74,"meta":77,"navigation":84,"path":85,"published_at":86,"question":74,"scraped_at":86,"seo":87,"sitemap":88,"source_id":89,"source_name":90,"source_type":91,"source_url":92,"stem":93,"tags":94,"thumbnail_url":74,"tldr":99,"tweet":74,"unknown_tags":100,"__hash__":101},"summaries\u002Fsummaries\u002F2a126068ed5ab49f-reducing-over-crediting-in-llm-agent-evaluation-summary.md","Reducing Over-Crediting in LLM Agent Evaluation",{"provider":7,"model":8,"input_tokens":9,"output_tokens":10,"processing_time_ms":11,"cost_usd":12},"openrouter","google\u002Fgemini-3.1-flash-lite",4020,603,2724,0.0019095,{"type":14,"value":15,"toc":65},"minimark",[16,21,25,29,32,35,58,62],[17,18,20],"h2",{"id":19},"the-problem-over-crediting-in-llm-as-a-judge","The Problem: Over-Crediting in LLM-as-a-Judge",[22,23,24],"p",{},"LLM-based evaluation (LLM-as-a-judge) has become the standard for assessing agentic workflows, but it is prone to significant bias. A primary issue is 'over-crediting,' where judge models tend to assign high scores to agent outputs that appear fluent or confident, even when they fail to meet specific task requirements or contain subtle errors. This behavior stems from the judge's tendency to prioritize stylistic coherence over functional correctness, leading to inflated performance metrics that do not reflect real-world utility.",[17,26,28],{"id":27},"inducing-reward-free-rubrics-for-objective-assessment","Inducing Reward-Free Rubrics for Objective Assessment",[22,30,31],{},"To mitigate this bias, the authors propose a method for inducing reward-free judging rubrics. Instead of relying on a single scalar reward signal—which often conflates multiple dimensions of performance—this approach forces the judge to decompose the evaluation into specific, observable criteria.",[22,33,34],{},"By inducing these rubrics, the system shifts the evaluation paradigm from holistic 'gut-feeling' scoring to a structured, evidence-based assessment. The key mechanism involves:",[36,37,38,46,52],"ul",{},[39,40,41,45],"li",{},[42,43,44],"strong",{},"Decomposition:"," Breaking down complex agent tasks into discrete, verifiable sub-tasks or constraints.",[39,47,48,51],{},[42,49,50],{},"Reward-Free Scoring:"," Eliminating the reliance on a singular reward score, which often encourages the judge to 'guess' what the user wants to hear, and instead requiring the judge to justify its assessment against the induced rubric.",[39,53,54,57],{},[42,55,56],{},"Constraint-Based Verification:"," The rubric acts as a set of guardrails, forcing the judge to explicitly check for the presence or absence of specific functional elements in the agent's output.",[17,59,61],{"id":60},"impact-on-evaluation-accuracy","Impact on Evaluation Accuracy",[22,63,64],{},"This approach significantly reduces the 'halo effect' where a well-written but incorrect response receives high marks. By forcing the judge to adhere to an induced rubric, the evaluation becomes more granular and reproducible. The research demonstrates that this method provides a more accurate reflection of agent capabilities, as it forces the judge to penalize failures in logic or constraint satisfaction that would otherwise be masked by the agent's persuasive tone. This leads to a more reliable feedback loop for developers, allowing for better identification of specific failure modes in agentic systems.",{"title":66,"searchDepth":67,"depth":67,"links":68},"",2,[69,70,71],{"id":19,"depth":67,"text":20},{"id":27,"depth":67,"text":28},{"id":60,"depth":67,"text":61},[73],"AI & LLMs",null,"md",false,{"content_references":78,"triage":79},[],{"relevance":80,"novelty":80,"quality":80,"actionability":81,"composite":82,"reasoning":83},4,3,3.8,"Category: AI & LLMs. The article addresses a specific pain point in LLM evaluation methods by proposing a structured approach to reduce bias in performance assessments, which is highly relevant for developers integrating AI into their products. It presents a novel method for improving evaluation accuracy, although it lacks detailed actionable steps for implementation.",true,"\u002Fsummaries\u002F2a126068ed5ab49f-reducing-over-crediting-in-llm-agent-evaluation-summary","2026-08-18 03:10:21",{"title":5,"description":66},{"loc":85},"2a126068ed5ab49f","arXiv cs.AI","article","https:\u002F\u002Farxiv.org\u002Fabs\u002F2608.13564","summaries\u002F2a126068ed5ab49f-reducing-over-crediting-in-llm-agent-evaluation-summary",[95,96,97,98],"llm","agents","research","machine-learning","Current LLM-based evaluation methods often suffer from 'over-crediting,' where judges inflate scores for mediocre agent performance. This research proposes inducing reward-free rubrics to provide more objective, granular, and accurate performance assessments.",[],"_hbmkEDPRICuyq586Kc3IsT819er32N4vUCtsXHG9Jk",[103,105,108,110,113,115,118,121,123,125,127,130,132,134,136,138,141,143,145,147,149,152,155,157,159,161,163,165,167,169,171,173,175,177,179,181,183,185,187,189,191,193,195,198,200,202,204,206,208,210,212,214,216,218,220,222,224,227,229,231,233,235,237,239,241,243,245,247,249,251,253,255,257,259,261,264,266,268,270,272,274,276,278,280,282,284,286,288,290,293,295,297,299,301,303,305,307,309,311,313,315,317,319,321,323,325,327,329,331,333,335,337,339,341,343,345,347,349,351,353,356,358,360,362,364,366,368,370,372,374,376,379,381,383,385,387,389,391,393,395,397,399,401,403,405,407,409,412,414,416,418,420,422,424,426,428,430,432,435,437,439,441,443,445,447,449,451,453,455,457,459,461,463,465,467,469,471,473,475,477,479,481,483,485,487,490,492,494,497,499,501,503,505,507,509,511,513,515,517,519,521,523,526,528,530,532,534,536,538,540,542,544,546,548,551,553,555,557,559,561,563,565,567,569,571,573,575,577,579,581,583,585,587,589,591,593,595,597,599,601,603,605,607,609,611,613,615,617,619,621,623,625,627,629,631,633,635,637,639,641,643,645,647,649,651,653,655,657,659,661,663,665,667,669,671,673,675,677,679,681,683,685,687,689,691,693,695,697,699,701,703,705,707,709,711,713,715,717,719,721,723,725,727,729,731,733,735,737,739,741,743,745,747,749,751,753,755,757,759,761,763,765,767,769,771,773,775,777,779,781,783,785,787,789,791,793,795,797,799,801,803,805,807,809,811,813,815,817,819,821,823,825,828,830,832,834,836,839,841,843,845,847,849,851,853,855,857,859,861,864,866,868,870,872,874,876,878,880,882,884,886,888,890,892,894,896,898,900,902,904,906,908,910,912,914,916,918,920,922,924,926,928,930,932,934,936,938,940,942,944,946,948,950,952,954,956,958,960,962,964,966,968,970,972,974,976,978,980,982,984,986,988,990,992,994,996,998,1000,1002,1004,1006,1008,1010,1012,1014,1016,1018,1020,1022,1024,1026,1028,1030,1032,1034,1036,1038,1040,1042,1044,1046,1048,1050,1052,1054,1056,1058,1060,1062,1064,1066,1068,1070,1072,1074,1076,1078,1080,1082,1084,1086,1088,1090,1092,1094,1096,1098,1100,1102,1104,1106,1108,1110,1112,1114,1116,1118,1120,1122,1124,1126,1128,1130,1132,1134,1136,1138,1140,1142,1144,1146,1148,1150,1152,1154,1156,1158,1160,1162,1164,1167,1169,1171,1173,1175,1177,1179,1181,1183,1185,1187,1189,1191,1193,1195,1197,1199,1201,1203,1205,1207,1209,1211,1213,1215,1217,1219,1221,1223,1225,1227,1229,1231,1233,1235,1237,1239,1241,1243,1245,1247,1249,1251,1253,1255,1257,1259,1261,1263,1265,1267,1269,1271,1273,1275,1277,1279,1281,1283,1285,1287,1289,1291,1293,1295,1297,1299,1301,1303,1305,1307,1309,1311,1313,1315,1317,1319,1321,1323,1325,1327,1329,1331,1333,1335,1337,1339,1341,1343,1345,1347,1349,1351,1353,1355,1357,1360,1362,1364,1366,1368,1370,1372,1374,1376,1378,1380,1382,1384,1386,1388,1390,1392,1394,1396,1398,1400,1402,1404,1406,1408,1410,1412,1414,1416,1418,1420,1422,1424,1426,1428,1430,1432,1434,1436,1438,1440,1442,1444,1446,1448,1450,1452,1454,1456,1458,1460,1462,1464,1466,1468,1470,1472,1474,1476,1478,1480,1482,1484,1486,1488,1490,1492,1495,1497,1499,1501,1503,1505,1507,1509,1511,1513,1515,1517,1519,1521,1523,1525,1527,1529,1531,1533,1535,1537,1539,1541,1543,1545,1547,1549,1551,1553,1555,1557,1559,1561,1563,1565,1567,1569,1571,1573,1575,1577,1579,1581,1583,1585,1587,1589,1591,1593,1595,1597,1599,1601,1603,1605,1607,1609,1611,1613,1615,1617,1619,1621,1623,1625,1627,1629,1631,1633,1635,1637,1639,1642,1644,1646,1648,1650,1652,1654,1656,1658,1660,1662,1664,1666,1668,1670,1672,1674,1676,1678,1680,1682,1684,1686,1688,1690,1692,1694,1696,1698,1700,1703,1705,1707,1709,1711,1713,1715,1717,1719,1721,1723,1725,1727,1729,1731,1733,1735,1737,1739,1741,1743,1745,1747,1749,1751,1753,1755,1757,1759,1761,1763,1765,1767,1769,1771,1773,1775,1777,1779,1781,1783,1785,1787,1789,1791,1793,1795,1797,1799,1801,1803,1805,1807,1809,1811,1813,1815,1817,1819,1821,1823,1825,1827,1829,1831,1833,1835,1837,1839,1841,1843,1845,1847,1849,1851,1853,1855,1857,1859,1861,1863,1865,1867,1869,1871,1873,1875,1877,1879,1881,1883,1885,1887,1889,1891,1893,1895,1897,1899,1901,1903,1905,1907,1909,1911,1913,1915,1917,1919,1921,1923,1925,1927,1929,1931,1933,1935,1937,1939,1941,1943,1945,1947,1949,1951,1953,1955,1957,1959,1961,1963,1965,1967,1969,1971,1973,1975,1977,1979,1981,1983,1985,1987,1989,1991,1993,1995,1997,1999,2001,2003,2005,2007,2009,2011,2013,2015,2017,2019,2021,2023,2025,2027,2029,2031,2033,2035,2037,2039,2041,2043,2045,2047,2049,2051,2053,2055,2057,2059,2061,2063,2065,2067,2069,2071,2073,2075,2077,2079,2081,2083,2085,2087,2089,2091,2093,2095,2097,2099,2101,2103,2106,2108,2110,2112,2114,2116,2118,2120,2122,2124,2126,2128,2130,2132,2134,2136,2138,2140,2142,2144,2146,2148,2150,2152,2154,2156,2158,2160,2162,2164,2166,2168,2170,2172,2174,2176,2178,2180,2182,2184,2186,2189,2191,2193,2195,2197,2199,2201,2203,2205,2207,2209,2211,2213,2215,2217,2219,2221,2223,2225,2227,2229,2231,2233,2235,2237,2239,2241,2243,2245,2247,2249,2251,2253,2255,2257,2259,2261,2263,2265,2267,2269,2271,2273,2275,2277,2279,2281,2283,2285,2287,2289,2291,2293,2295,2297,2299,2302,2304,2306,2308,2310,2312,2314,2316,2318,2320,2322,2324,2326,2328,2330,2332,2334,2336,2338,2340,2343,2345,2347,2349,2351,2353,2355,2357,2359,2361,2363,2365,2367,2369,2371,2373,2375,2377,2379,2381,2383,2385,2387,2389,2391,2393,2395,2397,2399,2401,2403,2405,2407,2409,2411,2413,2415,2417,2419,2421,2423,2425,2427,2429,2431,2433,2435,2437,2439,2441,2443,2445,2447,2449,2451,2453,2455,2457,2459,2461,2463,2465,2467,2469,2471,2473,2475,2477,2479,2481,2483,2485,2487,2489,2491,2493,2495,2497,2499,2501,2503,2505,2507,2509,2511,2513,2515,2517,2519,2521,2523,2525,2527,2529,2531,2533,2535,2537,2539,2541,2543,2545,2547,2549,2551,2553,2555,2557,2559,2561,2563,2565,2567,2569,2571,2573,2575,2577,2579,2581,2583,2585,2587,2589,2591,2593,2595,2597,2599,2601,2603,2605,2607,2609,2611,2613,2615,2617,2619,2621,2623,2625,2627,2629,2631,2633,2635,2637,2639,2641,2643,2645,2647,2649,2651,2653,2655,2657,2659,2661,2663,2665,2667,2669,2671,2673,2675,2677,2679,2681,2683,2685,2687,2689,2691,2693,2695,2697,2699,2701,2703,2705,2707,2709,2711,2713,2715,2717,2719,2721,2723,2725,2727,2729,2731,2733,2735,2737,2739,2741,2743,2745,2747,2749,2751,2753,2755,2757,2759,2761,2763,2765,2767,2769,2771,2773,2775,2777,2779,2781,2783,2785,2787,2789,2791,2793,2795,2797,2799,2801,2803,2805,2807,2809,2811,2813,2815,2817,2819,2821,2823,2825,2827,2829,2831,2833,2835,2837,2839,2841,2843,2845,2847,2849,2851,2853,2855,2857,2859,2861,2863,2865,2867,2869,2871,2873,2875,2877,2879,2881,2883,2885,2887,2889,2891,2893,2895,2897,2899,2901,2903,2905,2907,2909,2911,2913,2915,2917,2919,2921,2923,2925,2927,2929,2931,2933,2935,2937,2939,2941,2943,2946,2948,2950,2952,2954,2956,2958,2960,2962,2964,2966,2968,2970,2972,2974,2976,2978,2980,2982,2984,2986,2988,2990,2992,2994,2996,2998,3000,3002,3004,3006,3008,3010,3012,3014,3016,3018,3020,3022,3024,3026,3028,3030,3032,3034,3036,3038,3040,3042,3044,3046,3048,3050,3052,3054,3056,3058,3061,3063,3065,3067,3069,3071,3073,3075,3077,3079,3081,3083,3085,3087,3089,3091,3093,3095,3097,3099,3101,3103,3105,3107,3109,3111,3113,3115,3117,3119,3121,3123,3125,3127,3129,3131,3133,3135,3137,3139,3141,3143,3145,3147,3149,3151,3153,3155,3157,3159,3161,3163,3165,3167,3169,3171,3173,3175,3177,3179,3181,3183,3185,3187,3189,3191,3193,3195,3197,3199,3201,3203,3205,3207,3209,3211,3213,3215,3217,3219,3221,3223,3225,3227,3229,3231,3233,3235,3237,3239,3241,3243,3245,3247,3249,3251,3253,3255,3257,3259,3261,3263,3265,3267,3269,3271,3273,3275,3277,3279,3281,3283,3285,3287,3289,3291,3293,3295,3297,3299,3301,3303,3305,3307,3309,3311,3313,3315,3317,3319,3321,3323,3325,3327,3329,3331,3333,3335,3337,3339,3341,3343,3345,3347,3349,3351,3353,3355,3357,3359,3361,3363,3365,3367,3369,3371,3373,3375,3377,3379,3381,3383,3385,3387,3389,3391,3393,3395,3397,3399,3401,3403,3405,3407,3409,3411,3413,3415,3417,3419,3421,3423,3425,3427,3429,3431,3433,3435,3437,3439,3441,3443,3445,3447,3449,3451,3453,3455,3457,3459,3461,3463,3465,3467,3469,3471,3473,3475,3477,3479,3481,3483,3485,3487,3489,3491,3493,3495,3497,3499,3501,3503,3505,3507,3509,3511,3513,3515,3517,3519,3521,3523,3525,3527,3529,3531,3533,3535,3537,3539,3541,3543,3545,3547,3549,3551,3553,3555,3557,3559,3561,3563,3565,3567,3569,3571,3573,3575,3577,3579,3581,3583,3585,3587,3589,3591,3593,3595,3597,3599,3601,3603,3605,3607,3609,3611,3613,3615,3617,3619,3621,3623,3625,3627,3629,3631,3633,3635,3637,3639,3641,3643,3645,3647,3649,3651,3653,3655,3657,3659,3661,3663,3665,3667,3669,3671,3673,3675,3677,3679,3681,3683,3685,3687,3689,3691,3693,3695,3697,3699,3701,3703,3705,3707,3709,3711,3713,3715,3717,3719,3721,3723,3725,3727,3729,3731,3733,3735,3737,3739,3741,3743,3745,3747,3749,3751,3753,3755,3757,3759,3761,3763,3765,3767,3769,3771,3773,3775,3777,3779,3781,3783,3785,3787,3789,3791,3793,3795,3797,3799,3801,3803,3805,3807,3809,3811,3813,3815,3817,3819,3821,3823,3825,3827,3829,3831,3833,3835,3837,3839,3841,3843,3845,3847,3849,3851,3853,3855,3857,3859,3861,3863,3865,3867,3869,3871,3873,3875,3877,3879,3881,3883,3885,3887,3889,3891,3893,3895,3897,3899,3901,3903,3905,3907,3909,3911,3913,3915,3917,3919,3921,3923,3925,3927,3929,3931,3933,3935,3937,3939,3941,3943,3945,3947,3949,3951,3953,3955,3957,3959,3961,3963,3965,3967,3969,3971,3973,3975,3977,3979,3981,3983,3985,3987,3989,3991,3993,3995,3997,3999,4001,4003,4005,4007,4009,4011,4013,4015,4017,4019,4021,4023,4025,4027,4029,4031,4033,4035,4037,4039,4041,4043,4045,4047,4049,4051,4053,4055,4057,4059,4061,4063,4065,4067,4069,4071,4073,4075,4077,4079,4081,4083,4085,4087,4089,4091,4093,4095,4097,4099,4101,4103,4105,4107,4109,4111,4113,4115,4117,4119,4121,4123,4125,4127,4129,4131,4133,4135,4137,4139,4141,4143,4145,4147,4149,4151,4153,4155,4157,4159,4161,4163,4165,4167,4169,4171,4173,4175,4177,4179,4181,4183,4185,4187,4189,4191,4193,4195,4197,4199,4201,4203,4205,4207,4209,4211,4213,4215,4217,4219,4221,4223,4225,4227,4229,4231,4233,4235,4237,4239,4241,4243,4245,4247,4249,4251,4253,4255,4257,4259,4261,4264,4266,4268,4270,4272,4274,4276,4278,4280,4282,4284,4286,4288,4290,4292,4294,4296,4298,4300,4302,4304,4306,4308,4310,4312,4314,4316,4318,4320,4322,4324,4326,4328,4330,4332,4334,4336,4338,4340,4342,4344,4346,4348,4350,4352,4354,4356,4358,4360,4362,4364,4366,4368,4370,4372,4374,4376,4378,4380,4382,4384,4386,4388,4390,4392,4394,4396,4398,4400,4402,4404,4406,4408,4410,4412,4414,4416,4418,4420,4422,4424,4426,4428,4430,4432,4434,4436,4438,4440,4442,4444,4446,4448,4450,4452,4454,4456,4458,4460,4462,4464,4466,4468,4470,4472,4474,4476,4478,4480,4482,4484,4486,4488,4490,4492,4494,4496,4498,4500,4502,4504,4506,4508,4510,4512,4514,4516,4518,4520,4522,4524,4526,4528,4530,4532,4534,4536,4538,4540,4542,4544,4546,4548,4550,4552,4554,4556,4558,4560,4562,4564,4566,4568,4570,4572,4574,4576,4578,4580,4582,4584,4586,4588,4590,4592,4594,4596,4598,4600,4602,4604,4606,4608,4610,4612,4614,4616,4618,4620,4622,4624,4626,4628,4630,4632,4634,4636,4638,4640,4642,4644,4646,4648,4650,4652,4654,4656,4658,4660,4662,4664,4666,4668,4670,4672,4674,4676,4678,4680,4682,4684,4686,4688,4690,4692,4694,4696,4698,4700,4702,4704,4706,4708,4710,4712,4714,4716,4718,4720,4722,4724,4726,4728,4730,4732,4734,4736,4738,4740,4742,4744,4746,4748,4750,4752,4754,4756,4758,4760,4762,4764,4766,4768,4770,4772,4774,4776,4778,4780,4782,4784,4786,4788,4790,4792,4794,4796,4798,4800,4802,4804,4806,4808,4810,4812,4814,4816,4818,4820,4822,4824,4826,4828,4830,4832,4834,4836,4838,4840,4842,4844,4846,4848,4850,4852,4854,4856,4858,4860,4862,4864,4866,4868,4870,4872,4874,4876,4878,4880,4882,4884,4886,4888,4890,4892,4894,4896,4898,4900,4902,4904,4906,4908,4910,4912,4914,4916,4918,4920,4922,4924,4926,4928,4930,4932,4934,4936,4938,4940,4942,4944,4946,4948,4950,4952,4954,4956,4958,4960,4962,4964,4966,4968,4970,4972,4974,4976,4978,4980,4982,4984,4986,4988,4990,4992,4994,4996,4998,5000,5002,5004,5006,5008,5010,5012,5014,5016,5018,5020,5022,5024,5026,5028,5030,5032,5034,5036,5038,5040,5042,5044,5046,5048,5050,5052,5054,5056,5058,5060,5062,5064,5066,5069,5071,5073,5075,5077,5079,5081,5083,5085,5087,5089,5091,5093,5095,5097,5099,5101,5103,5105,5107,5109,5111,5113,5115,5117,5119,5121,5123,5125,5127,5129,5131,5133,5135,5137,5139,5141,5143,5145,5147,5149,5151,5153,5155,5157,5159,5161,5163,5165,5167,5169,5171,5173,5175,5177,5179,5181,5183,5185,5187,5189,5191,5193,5195,5197,5199,5201,5203,5205,5207,5209,5211,5213,5215,5217,5219,5221,5223,5225,5227,5229,5231,5233,5235,5237,5239,5241,5243,5245,5247,5249,5251,5253,5255,5257,5259,5262,5264,5266,5268,5270,5272,5274,5276,5278,5280,5282,5284,5286,5288,5290,5292,5294,5296,5298,5300,5302,5304,5306,5308,5310,5312,5314,5316,5318,5320,5322,5324,5326,5328,5330,5332,5334,5336,5338,5340,5342,5344,5346,5348,5350,5352,5354,5356,5358,5360,5362,5364,5366,5368,5370,5372,5374,5376,5378,5380,5382,5384,5386,5388,5390,5392,5394,5396,5398,5400,5402,5404,5406,5408,5410,5412,5414,5416,5418,5420,5422,5424,5426,5428,5430,5432,5434,5436,5438,5440,5442,5444,5446,5448,5450,5452,5454,5456,5458,5460,5462,5464,5466,5468,5470,5472,5474,5476,5478,5480,5482,5484,5486,5488,5490,5492,5494,5496,5498,5500,5502,5504,5506,5508,5510,5512,5514,5516,5518,5520,5522,5524,5526,5528,5530,5532,5534,5536,5538,5540,5542,5544,5546,5548,5550,5552,5554,5556,5558,5560,5562,5564,5566,5568,5570,5572,5574,5576,5578,5580,5582,5584,5586,5588,5590,5592,5594,5596,5598,5600,5602,5604,5606,5608,5610,5612,5614,5616,5618,5620,5622,5624,5626,5628,5630,5632,5634,5636,5638,5640,5642,5644,5646,5648,5650,5652,5654,5656,5658,5660,5662,5664,5666,5668,5670,5672,5674,5676,5678,5680,5682,5684,5686,5688,5690,5692,5694,5696,5698,5700,5702,5704,5706,5708,5710,5712,5714,5716,5718,5720,5722,5724,5726,5728,5730,5732,5734,5736,5738,5740,5742,5744,5746,5748,5750,5752,5754,5756,5758,5760,5762,5764,5766,5768,5770,5772,5774,5776,5778,5780,5782,5784,5786,5788,5790,5792,5794,5796,5798,5800,5802,5804,5806,5808,5810,5812,5814,5816,5818,5820,5822,5824,5826,5828,5830,5832,5834,5836,5838,5840,5842,5844,5846,5848,5850,5852,5854,5856,5858,5860,5862,5864,5866,5868,5870,5872,5874,5876,5878,5880,5882,5884,5886,5888,5890,5892,5894,5896,5898,5900,5902,5904,5906,5908,5910,5912,5914,5916,5918,5920,5922,5924,5926,5928,5930,5932,5934,5936,5938,5940,5942,5944,5946,5948,5950,5952,5954,5956,5958,5960,5962,5964,5966,5968,5970,5972,5974,5976,5978,5980,5982,5984,5986,5988,5990,5992,5994,5996,5998,6000,6002,6004,6006,6008,6010,6012,6014,6016,6018,6020,6022,6024,6026,6028,6030,6032,6034,6036,6038,6040,6042,6044,6046,6048,6050,6052,6054,6056,6058,6060,6062,6064,6066,6068,6070,6072,6074,6076,6078,6080,6082,6084,6086,6088,6090,6092,6094,6096,6098,6100,6102,6104,6106,6108,6110,6112,6114,6116,6118,6120,6122,6124,6126,6128,6130,6132,6134,6136,6138,6140,6142,6144,6146,6148,6150,6152,6154,6156,6158,6160,6162,6164,6166,6168,6170,6172,6174,6176,6178,6180,6182,6184,6186,6188,6190,6192,6194,6196,6198,6200,6202,6204,6206,6208,6210,6212,6214,6216,6218,6220,6222,6224,6226,6228,6230,6232,6234,6236,6238,6240,6242,6244,6246,6248,6250,6252,6254,6256,6258,6260,6262,6264,6266,6268,6270,6272,6274,6276,6278,6280,6282,6284,6286,6288,6290,6292,6294,6296,6298,6300,6302,6304,6306,6308,6310,6312,6314,6316,6318,6320,6322,6324,6326,6328,6330,6332,6334,6336,6338,6340,6342,6344,6346,6348,6350,6352,6354,6356,6358,6360,6362,6364,6366,6368,6370,6372,6374,6376,6378,6380,6382,6384,6386,6388,6390,6392,6394,6396,6398,6400,6402,6404,6406,6408,6410,6412,6414,6416,6418,6420,6422,6424,6426,6428,6430,6432,6434,6436,6438,6440,6442,6444,6446,6448,6450,6452,6454,6456,6458,6460,6462,6464,6466,6468,6470,6472,6474,6476,6478,6480,6482,6484,6486,6488,6490,6492,6494,6496,6498,6500,6502,6504,6506,6508,6510,6512,6514,6516,6518,6520,6522,6524,6526,6528,6530,6532,6534,6536,6538,6540,6542,6544,6546,6548,6550,6552,6554,6556,6558,6560,6562,6564,6566,6568],{"categories":104},[73],{"categories":106},[107],"Developer Productivity",{"categories":109},[73],{"categories":111},[112],"Business & SaaS",{"categories":114},[73],{"categories":116},[117],"AI Automation",{"categories":119},[120],"Product Strategy",{"categories":122},[73],{"categories":124},[107],{"categories":126},[117],{"categories":128},[129],"Software Engineering",{"categories":131},[73],{"categories":133},[112],{"categories":135},[],{"categories":137},[73],{"categories":139},[140],"Inference & Serving",{"categories":142},[73],{"categories":144},[73],{"categories":146},[117],{"categories":148},[],{"categories":150},[151],"AI News & Trends",{"categories":153},[154],"Data Science & Visualization",{"categories":156},[117],{"categories":158},[73],{"categories":160},[73],{"categories":162},[112],{"categories":164},[107],{"categories":166},[73],{"categories":168},[117],{"categories":170},[151],{"categories":172},[117],{"categories":174},[117],{"categories":176},[73],{"categories":178},[117],{"categories":180},[73],{"categories":182},[73],{"categories":184},[73],{"categories":186},[151],{"categories":188},[73],{"categories":190},[73],{"categories":192},[73],{"categories":194},[],{"categories":196},[197],"Design & Frontend",{"categories":199},[154],{"categories":201},[151],{"categories":203},[73],{"categories":205},[73],{"categories":207},[73],{"categories":209},[],{"categories":211},[73],{"categories":213},[73],{"categories":215},[117],{"categories":217},[129],{"categories":219},[73],{"categories":221},[117],{"categories":223},[73],{"categories":225},[226],"Marketing & Growth",{"categories":228},[197],{"categories":230},[73],{"categories":232},[117],{"categories":234},[73],{"categories":236},[129],{"categories":238},[],{"categories":240},[],{"categories":242},[197],{"categories":244},[73],{"categories":246},[117],{"categories":248},[107],{"categories":250},[129],{"categories":252},[117],{"categories":254},[197],{"categories":256},[120],{"categories":258},[73],{"categories":260},[129],{"categories":262},[263],"DevOps & Cloud",{"categories":265},[117],{"categories":267},[120],{"categories":269},[151],{"categories":271},[73],{"categories":273},[],{"categories":275},[73],{"categories":277},[73],{"categories":279},[],{"categories":281},[117],{"categories":283},[129],{"categories":285},[],{"categories":287},[129],{"categories":289},[73],{"categories":291},[292],"Governance & Standards",{"categories":294},[112],{"categories":296},[],{"categories":298},[],{"categories":300},[73],{"categories":302},[73],{"categories":304},[117],{"categories":306},[73],{"categories":308},[73],{"categories":310},[117],{"categories":312},[73],{"categories":314},[73],{"categories":316},[73],{"categories":318},[],{"categories":320},[129],{"categories":322},[],{"categories":324},[],{"categories":326},[73],{"categories":328},[129],{"categories":330},[],{"categories":332},[129],{"categories":334},[73],{"categories":336},[73],{"categories":338},[226],{"categories":340},[73],{"categories":342},[73],{"categories":344},[197],{"categories":346},[197],{"categories":348},[73],{"categories":350},[129],{"categories":352},[117],{"categories":354},[355],"GovTech & Public-Sector Adoption",{"categories":357},[129],{"categories":359},[73],{"categories":361},[73],{"categories":363},[73],{"categories":365},[117],{"categories":367},[117],{"categories":369},[154],{"categories":371},[73],{"categories":373},[151],{"categories":375},[117],{"categories":377},[378],"Legal AI Tools",{"categories":380},[73],{"categories":382},[117],{"categories":384},[73],{"categories":386},[226],{"categories":388},[117],{"categories":390},[120],{"categories":392},[73],{"categories":394},[129],{"categories":396},[355],{"categories":398},[],{"categories":400},[117],{"categories":402},[],{"categories":404},[112],{"categories":406},[117],{"categories":408},[117],{"categories":410},[411],"RAG & Retrieval",{"categories":413},[112],{"categories":415},[73],{"categories":417},[129],{"categories":419},[129],{"categories":421},[263],{"categories":423},[197],{"categories":425},[117],{"categories":427},[73],{"categories":429},[73],{"categories":431},[],{"categories":433},[434],"Agents & Orchestration",{"categories":436},[129],{"categories":438},[73],{"categories":440},[],{"categories":442},[117],{"categories":444},[112],{"categories":446},[],{"categories":448},[73],{"categories":450},[],{"categories":452},[73],{"categories":454},[107],{"categories":456},[129],{"categories":458},[112],{"categories":460},[73],{"categories":462},[117],{"categories":464},[73],{"categories":466},[151],{"categories":468},[73],{"categories":470},[],{"categories":472},[73],{"categories":474},[],{"categories":476},[129],{"categories":478},[73],{"categories":480},[154],{"categories":482},[],{"categories":484},[73],{"categories":486},[197],{"categories":488},[489],"Models & Frontier Labs",{"categories":491},[],{"categories":493},[197],{"categories":495},[496],"Regulation & Governance of AI",{"categories":498},[117],{"categories":500},[],{"categories":502},[73],{"categories":504},[73],{"categories":506},[117],{"categories":508},[151],{"categories":510},[112],{"categories":512},[73],{"categories":514},[],{"categories":516},[129],{"categories":518},[117],{"categories":520},[73],{"categories":522},[120],{"categories":524},[525],"AI Policy & Regulation",{"categories":527},[],{"categories":529},[73],{"categories":531},[117],{"categories":533},[120],{"categories":535},[117],{"categories":537},[73],{"categories":539},[73],{"categories":541},[73],{"categories":543},[117],{"categories":545},[],{"categories":547},[154],{"categories":549},[550],"Evals & Reliability",{"categories":552},[73],{"categories":554},[73],{"categories":556},[],{"categories":558},[107],{"categories":560},[355],{"categories":562},[525],{"categories":564},[73],{"categories":566},[112],{"categories":568},[73],{"categories":570},[117],{"categories":572},[73],{"categories":574},[117],{"categories":576},[434],{"categories":578},[73],{"categories":580},[129],{"categories":582},[73],{"categories":584},[],{"categories":586},[],{"categories":588},[73],{"categories":590},[355],{"categories":592},[73],{"categories":594},[73],{"categories":596},[73],{"categories":598},[],{"categories":600},[197],{"categories":602},[],{"categories":604},[73],{"categories":606},[],{"categories":608},[117],{"categories":610},[73],{"categories":612},[197],{"categories":614},[],{"categories":616},[73],{"categories":618},[73],{"categories":620},[154],{"categories":622},[117],{"categories":624},[73],{"categories":626},[112],{"categories":628},[117],{"categories":630},[73],{"categories":632},[73],{"categories":634},[129],{"categories":636},[197],{"categories":638},[73],{"categories":640},[117],{"categories":642},[],{"categories":644},[129],{"categories":646},[117],{"categories":648},[154],{"categories":650},[],{"categories":652},[73],{"categories":654},[151],{"categories":656},[73],{"categories":658},[],{"categories":660},[73],{"categories":662},[73],{"categories":664},[73],{"categories":666},[112,226],{"categories":668},[],{"categories":670},[129],{"categories":672},[73],{"categories":674},[73],{"categories":676},[117],{"categories":678},[73],{"categories":680},[],{"categories":682},[],{"categories":684},[73],{"categories":686},[197],{"categories":688},[73],{"categories":690},[],{"categories":692},[73],{"categories":694},[263],{"categories":696},[],{"categories":698},[117],{"categories":700},[151],{"categories":702},[73],{"categories":704},[73],{"categories":706},[197],{"categories":708},[],{"categories":710},[151],{"categories":712},[73],{"categories":714},[140],{"categories":716},[73],{"categories":718},[73],{"categories":720},[117],{"categories":722},[151],{"categories":724},[489],{"categories":726},[73],{"categories":728},[226],{"categories":730},[],{"categories":732},[117],{"categories":734},[112],{"categories":736},[129],{"categories":738},[73],{"categories":740},[117],{"categories":742},[],{"categories":744},[73,263],{"categories":746},[73],{"categories":748},[73],{"categories":750},[73],{"categories":752},[117],{"categories":754},[73,129],{"categories":756},[154],{"categories":758},[73],{"categories":760},[73],{"categories":762},[129],{"categories":764},[73],{"categories":766},[117],{"categories":768},[525],{"categories":770},[226],{"categories":772},[73],{"categories":774},[117],{"categories":776},[73],{"categories":778},[73],{"categories":780},[117],{"categories":782},[],{"categories":784},[117],{"categories":786},[73],{"categories":788},[73],{"categories":790},[117],{"categories":792},[73],{"categories":794},[73,112],{"categories":796},[73],{"categories":798},[112],{"categories":800},[],{"categories":802},[197],{"categories":804},[197],{"categories":806},[73],{"categories":808},[],{"categories":810},[],{"categories":812},[73],{"categories":814},[151],{"categories":816},[],{"categories":818},[107],{"categories":820},[73],{"categories":822},[129],{"categories":824},[73],{"categories":826},[827],"Generative UI & Design-to-Code",{"categories":829},[73],{"categories":831},[73],{"categories":833},[197],{"categories":835},[73],{"categories":837},[838],"Algorithmic Accountability",{"categories":840},[117],{"categories":842},[129],{"categories":844},[151],{"categories":846},[197],{"categories":848},[73],{"categories":850},[],{"categories":852},[120],{"categories":854},[73],{"categories":856},[73],{"categories":858},[73],{"categories":860},[117],{"categories":862},[863],"MLOps & Infrastructure",{"categories":865},[73],{"categories":867},[73],{"categories":869},[73],{"categories":871},[73],{"categories":873},[73],{"categories":875},[151],{"categories":877},[120],{"categories":879},[107],{"categories":881},[73],{"categories":883},[117],{"categories":885},[263],{"categories":887},[73],{"categories":889},[112],{"categories":891},[73],{"categories":893},[197],{"categories":895},[73],{"categories":897},[73],{"categories":899},[117],{"categories":901},[],{"categories":903},[],{"categories":905},[73],{"categories":907},[140],{"categories":909},[197],{"categories":911},[151],{"categories":913},[154],{"categories":915},[],{"categories":917},[73],{"categories":919},[73],{"categories":921},[112],{"categories":923},[117],{"categories":925},[73],{"categories":927},[73],{"categories":929},[73],{"categories":931},[73],{"categories":933},[151],{"categories":935},[140],{"categories":937},[73],{"categories":939},[197],{"categories":941},[73],{"categories":943},[],{"categories":945},[117],{"categories":947},[129],{"categories":949},[],{"categories":951},[73],{"categories":953},[73],{"categories":955},[117],{"categories":957},[129],{"categories":959},[73],{"categories":961},[154],{"categories":963},[],{"categories":965},[73],{"categories":967},[],{"categories":969},[73],{"categories":971},[],{"categories":973},[73],{"categories":975},[120],{"categories":977},[112],{"categories":979},[117],{"categories":981},[117],{"categories":983},[],{"categories":985},[107],{"categories":987},[73],{"categories":989},[73],{"categories":991},[112],{"categories":993},[151],{"categories":995},[107],{"categories":997},[],{"categories":999},[73],{"categories":1001},[],{"categories":1003},[],{"categories":1005},[151],{"categories":1007},[151],{"categories":1009},[],{"categories":1011},[434],{"categories":1013},[73],{"categories":1015},[197],{"categories":1017},[129],{"categories":1019},[],{"categories":1021},[378],{"categories":1023},[117],{"categories":1025},[112],{"categories":1027},[],{"categories":1029},[],{"categories":1031},[107],{"categories":1033},[154],{"categories":1035},[],{"categories":1037},[226],{"categories":1039},[117],{"categories":1041},[112],{"categories":1043},[117],{"categories":1045},[112],{"categories":1047},[73],{"categories":1049},[129],{"categories":1051},[],{"categories":1053},[140],{"categories":1055},[120],{"categories":1057},[73],{"categories":1059},[197],{"categories":1061},[129],{"categories":1063},[112],{"categories":1065},[73],{"categories":1067},[117],{"categories":1069},[112],{"categories":1071},[73],{"categories":1073},[73],{"categories":1075},[73],{"categories":1077},[73],{"categories":1079},[73],{"categories":1081},[],{"categories":1083},[],{"categories":1085},[129],{"categories":1087},[154],{"categories":1089},[120],{"categories":1091},[73],{"categories":1093},[117],{"categories":1095},[129],{"categories":1097},[129],{"categories":1099},[73],{"categories":1101},[],{"categories":1103},[151],{"categories":1105},[120],{"categories":1107},[129],{"categories":1109},[73],{"categories":1111},[550],{"categories":1113},[263],{"categories":1115},[],{"categories":1117},[117],{"categories":1119},[73],{"categories":1121},[],{"categories":1123},[107],{"categories":1125},[],{"categories":1127},[73],{"categories":1129},[73],{"categories":1131},[73],{"categories":1133},[197],{"categories":1135},[226],{"categories":1137},[73],{"categories":1139},[129],{"categories":1141},[73],{"categories":1143},[117],{"categories":1145},[],{"categories":1147},[129],{"categories":1149},[73],{"categories":1151},[107],{"categories":1153},[],{"categories":1155},[112],{"categories":1157},[73],{"categories":1159},[151],{"categories":1161},[73,263],{"categories":1163},[73],{"categories":1165},[1166],"Design Systems for AI",{"categories":1168},[73],{"categories":1170},[73],{"categories":1172},[151],{"categories":1174},[73],{"categories":1176},[73],{"categories":1178},[73],{"categories":1180},[112],{"categories":1182},[73],{"categories":1184},[73],{"categories":1186},[73],{"categories":1188},[],{"categories":1190},[73],{"categories":1192},[73],{"categories":1194},[112],{"categories":1196},[73],{"categories":1198},[],{"categories":1200},[117],{"categories":1202},[129],{"categories":1204},[151],{"categories":1206},[129],{"categories":1208},[73],{"categories":1210},[197],{"categories":1212},[151],{"categories":1214},[154],{"categories":1216},[73],{"categories":1218},[73],{"categories":1220},[117],{"categories":1222},[107],{"categories":1224},[525],{"categories":1226},[73],{"categories":1228},[117],{"categories":1230},[73],{"categories":1232},[129],{"categories":1234},[129],{"categories":1236},[],{"categories":1238},[],{"categories":1240},[73],{"categories":1242},[117],{"categories":1244},[120],{"categories":1246},[],{"categories":1248},[112],{"categories":1250},[73],{"categories":1252},[],{"categories":1254},[197],{"categories":1256},[117],{"categories":1258},[129],{"categories":1260},[197],{"categories":1262},[73],{"categories":1264},[73],{"categories":1266},[197],{"categories":1268},[],{"categories":1270},[],{"categories":1272},[151],{"categories":1274},[117],{"categories":1276},[117],{"categories":1278},[73],{"categories":1280},[73],{"categories":1282},[73],{"categories":1284},[73],{"categories":1286},[112],{"categories":1288},[73],{"categories":1290},[73],{"categories":1292},[],{"categories":1294},[129],{"categories":1296},[129],{"categories":1298},[73],{"categories":1300},[129],{"categories":1302},[112],{"categories":1304},[],{"categories":1306},[73],{"categories":1308},[73],{"categories":1310},[73],{"categories":1312},[73],{"categories":1314},[73],{"categories":1316},[117],{"categories":1318},[107],{"categories":1320},[112],{"categories":1322},[73],{"categories":1324},[117],{"categories":1326},[151],{"categories":1328},[117],{"categories":1330},[140],{"categories":1332},[226],{"categories":1334},[73],{"categories":1336},[117],{"categories":1338},[73],{"categories":1340},[73],{"categories":1342},[],{"categories":1344},[197],{"categories":1346},[],{"categories":1348},[73],{"categories":1350},[73],{"categories":1352},[],{"categories":1354},[129],{"categories":1356},[112],{"categories":1358},[1359],"Visual & Generative Media",{"categories":1361},[117],{"categories":1363},[],{"categories":1365},[73],{"categories":1367},[73],{"categories":1369},[129],{"categories":1371},[263],{"categories":1373},[73],{"categories":1375},[154],{"categories":1377},[525],{"categories":1379},[129],{"categories":1381},[226],{"categories":1383},[73],{"categories":1385},[197],{"categories":1387},[73],{"categories":1389},[73],{"categories":1391},[129],{"categories":1393},[117],{"categories":1395},[73],{"categories":1397},[],{"categories":1399},[],{"categories":1401},[117],{"categories":1403},[129],{"categories":1405},[107],{"categories":1407},[117],{"categories":1409},[489],{"categories":1411},[73],{"categories":1413},[120],{"categories":1415},[73],{"categories":1417},[112],{"categories":1419},[],{"categories":1421},[73],{"categories":1423},[120],{"categories":1425},[73],{"categories":1427},[73],{"categories":1429},[73],{"categories":1431},[120],{"categories":1433},[73],{"categories":1435},[73],{"categories":1437},[226],{"categories":1439},[73],{"categories":1441},[434],{"categories":1443},[73],{"categories":1445},[117],{"categories":1447},[73],{"categories":1449},[73],{"categories":1451},[73],{"categories":1453},[73],{"categories":1455},[197],{"categories":1457},[117],{"categories":1459},[],{"categories":1461},[117],{"categories":1463},[],{"categories":1465},[263],{"categories":1467},[129],{"categories":1469},[],{"categories":1471},[489],{"categories":1473},[73],{"categories":1475},[117],{"categories":1477},[73],{"categories":1479},[197,73],{"categories":1481},[107],{"categories":1483},[73],{"categories":1485},[197],{"categories":1487},[],{"categories":1489},[73],{"categories":1491},[107],{"categories":1493},[1494],"Medical Imaging & Radiology",{"categories":1496},[73],{"categories":1498},[197],{"categories":1500},[117],{"categories":1502},[129],{"categories":1504},[],{"categories":1506},[73],{"categories":1508},[73],{"categories":1510},[73],{"categories":1512},[],{"categories":1514},[],{"categories":1516},[73],{"categories":1518},[434],{"categories":1520},[73],{"categories":1522},[107],{"categories":1524},[73],{"categories":1526},[73],{"categories":1528},[],{"categories":1530},[117],{"categories":1532},[73],{"categories":1534},[120],{"categories":1536},[129],{"categories":1538},[73],{"categories":1540},[434],{"categories":1542},[73],{"categories":1544},[117],{"categories":1546},[73],{"categories":1548},[73],{"categories":1550},[73],{"categories":1552},[197],{"categories":1554},[117],{"categories":1556},[263],{"categories":1558},[197],{"categories":1560},[112],{"categories":1562},[117],{"categories":1564},[151],{"categories":1566},[73],{"categories":1568},[73],{"categories":1570},[120],{"categories":1572},[73],{"categories":1574},[73],{"categories":1576},[73],{"categories":1578},[117],{"categories":1580},[73],{"categories":1582},[129],{"categories":1584},[129],{"categories":1586},[73],{"categories":1588},[120],{"categories":1590},[],{"categories":1592},[151],{"categories":1594},[],{"categories":1596},[120],{"categories":1598},[117],{"categories":1600},[73],{"categories":1602},[117],{"categories":1604},[1166],{"categories":1606},[1166],{"categories":1608},[197],{"categories":1610},[73],{"categories":1612},[73],{"categories":1614},[117],{"categories":1616},[129],{"categories":1618},[197],{"categories":1620},[117],{"categories":1622},[151],{"categories":1624},[],{"categories":1626},[73],{"categories":1628},[],{"categories":1630},[73],{"categories":1632},[73],{"categories":1634},[73],{"categories":1636},[73],{"categories":1638},[117],{"categories":1640},[1641],"Contract Review & E-Discovery",{"categories":1643},[73],{"categories":1645},[197],{"categories":1647},[73],{"categories":1649},[107],{"categories":1651},[73],{"categories":1653},[151],{"categories":1655},[73],{"categories":1657},[73],{"categories":1659},[226],{"categories":1661},[129],{"categories":1663},[73],{"categories":1665},[73],{"categories":1667},[117],{"categories":1669},[117],{"categories":1671},[838],{"categories":1673},[73],{"categories":1675},[73],{"categories":1677},[117],{"categories":1679},[117],{"categories":1681},[73],{"categories":1683},[73],{"categories":1685},[117],{"categories":1687},[73],{"categories":1689},[73],{"categories":1691},[434],{"categories":1693},[411],{"categories":1695},[73],{"categories":1697},[117],{"categories":1699},[73],{"categories":1701},[1702],"Law-Firm Practice & Adoption",{"categories":1704},[73],{"categories":1706},[117],{"categories":1708},[197],{"categories":1710},[73],{"categories":1712},[73],{"categories":1714},[73],{"categories":1716},[],{"categories":1718},[],{"categories":1720},[129],{"categories":1722},[73],{"categories":1724},[],{"categories":1726},[117],{"categories":1728},[107],{"categories":1730},[263],{"categories":1732},[73],{"categories":1734},[],{"categories":1736},[107],{"categories":1738},[112],{"categories":1740},[73],{"categories":1742},[226],{"categories":1744},[],{"categories":1746},[112],{"categories":1748},[112],{"categories":1750},[],{"categories":1752},[73],{"categories":1754},[120],{"categories":1756},[73],{"categories":1758},[129],{"categories":1760},[],{"categories":1762},[],{"categories":1764},[],{"categories":1766},[],{"categories":1768},[73],{"categories":1770},[117],{"categories":1772},[263],{"categories":1774},[73],{"categories":1776},[107],{"categories":1778},[129],{"categories":1780},[73],{"categories":1782},[73],{"categories":1784},[129],{"categories":1786},[120],{"categories":1788},[73],{"categories":1790},[73],{"categories":1792},[73],{"categories":1794},[863],{"categories":1796},[73],{"categories":1798},[73],{"categories":1800},[226],{"categories":1802},[129],{"categories":1804},[112],{"categories":1806},[73],{"categories":1808},[73],{"categories":1810},[197],{"categories":1812},[73],{"categories":1814},[73],{"categories":1816},[73],{"categories":1818},[73],{"categories":1820},[117],{"categories":1822},[73,107],{"categories":1824},[434],{"categories":1826},[73],{"categories":1828},[73],{"categories":1830},[129],{"categories":1832},[129],{"categories":1834},[197],{"categories":1836},[117],{"categories":1838},[129],{"categories":1840},[73],{"categories":1842},[73],{"categories":1844},[],{"categories":1846},[],{"categories":1848},[73],{"categories":1850},[117],{"categories":1852},[],{"categories":1854},[73],{"categories":1856},[129],{"categories":1858},[154],{"categories":1860},[151],{"categories":1862},[197],{"categories":1864},[73],{"categories":1866},[73],{"categories":1868},[129],{"categories":1870},[],{"categories":1872},[117],{"categories":1874},[73],{"categories":1876},[73],{"categories":1878},[73],{"categories":1880},[73],{"categories":1882},[],{"categories":1884},[117],{"categories":1886},[73],{"categories":1888},[73],{"categories":1890},[],{"categories":1892},[117],{"categories":1894},[73],{"categories":1896},[73],{"categories":1898},[112],{"categories":1900},[73],{"categories":1902},[73],{"categories":1904},[],{"categories":1906},[107],{"categories":1908},[73],{"categories":1910},[73],{"categories":1912},[197],{"categories":1914},[73],{"categories":1916},[129],{"categories":1918},[73],{"categories":1920},[107],{"categories":1922},[73],{"categories":1924},[129],{"categories":1926},[226],{"categories":1928},[117],{"categories":1930},[117],{"categories":1932},[73],{"categories":1934},[73],{"categories":1936},[73,197],{"categories":1938},[73],{"categories":1940},[117],{"categories":1942},[151],{"categories":1944},[73],{"categories":1946},[151],{"categories":1948},[117],{"categories":1950},[197],{"categories":1952},[73],{"categories":1954},[],{"categories":1956},[129],{"categories":1958},[263],{"categories":1960},[197],{"categories":1962},[129],{"categories":1964},[73],{"categories":1966},[120],{"categories":1968},[73],{"categories":1970},[73],{"categories":1972},[117],{"categories":1974},[],{"categories":1976},[],{"categories":1978},[73],{"categories":1980},[],{"categories":1982},[],{"categories":1984},[120],{"categories":1986},[129],{"categories":1988},[73],{"categories":1990},[117],{"categories":1992},[117],{"categories":1994},[112],{"categories":1996},[117],{"categories":1998},[263],{"categories":2000},[73],{"categories":2002},[73],{"categories":2004},[73],{"categories":2006},[140],{"categories":2008},[73],{"categories":2010},[73],{"categories":2012},[129],{"categories":2014},[117],{"categories":2016},[73],{"categories":2018},[73],{"categories":2020},[378],{"categories":2022},[838],{"categories":2024},[],{"categories":2026},[197],{"categories":2028},[1702],{"categories":2030},[129],{"categories":2032},[],{"categories":2034},[],{"categories":2036},[117],{"categories":2038},[],{"categories":2040},[],{"categories":2042},[73],{"categories":2044},[226],{"categories":2046},[73],{"categories":2048},[226],{"categories":2050},[117],{"categories":2052},[73],{"categories":2054},[129],{"categories":2056},[120],{"categories":2058},[],{"categories":2060},[73],{"categories":2062},[73],{"categories":2064},[129],{"categories":2066},[1641],{"categories":2068},[197],{"categories":2070},[197],{"categories":2072},[73],{"categories":2074},[117],{"categories":2076},[107],{"categories":2078},[73],{"categories":2080},[73],{"categories":2082},[73],{"categories":2084},[197],{"categories":2086},[197],{"categories":2088},[117],{"categories":2090},[117],{"categories":2092},[117],{"categories":2094},[73],{"categories":2096},[73],{"categories":2098},[],{"categories":2100},[73],{"categories":2102},[],{"categories":2104},[2105],"Interaction & Product Design",{"categories":2107},[73],{"categories":2109},[117],{"categories":2111},[129],{"categories":2113},[292],{"categories":2115},[151],{"categories":2117},[129],{"categories":2119},[73],{"categories":2121},[73],{"categories":2123},[129],{"categories":2125},[107],{"categories":2127},[117],{"categories":2129},[73],{"categories":2131},[],{"categories":2133},[117],{"categories":2135},[117],{"categories":2137},[],{"categories":2139},[129],{"categories":2141},[73],{"categories":2143},[107],{"categories":2145},[2105],{"categories":2147},[73],{"categories":2149},[107],{"categories":2151},[107],{"categories":2153},[],{"categories":2155},[117],{"categories":2157},[129],{"categories":2159},[],{"categories":2161},[117],{"categories":2163},[151],{"categories":2165},[73],{"categories":2167},[117],{"categories":2169},[73],{"categories":2171},[117],{"categories":2173},[73],{"categories":2175},[73],{"categories":2177},[151],{"categories":2179},[154],{"categories":2181},[73],{"categories":2183},[120],{"categories":2185},[129],{"categories":2187},[2188],"Coding Agents & Dev Productivity",{"categories":2190},[151],{"categories":2192},[197],{"categories":2194},[73],{"categories":2196},[73],{"categories":2198},[],{"categories":2200},[73],{"categories":2202},[838],{"categories":2204},[],{"categories":2206},[73],{"categories":2208},[263],{"categories":2210},[73],{"categories":2212},[151],{"categories":2214},[],{"categories":2216},[],{"categories":2218},[73],{"categories":2220},[],{"categories":2222},[117],{"categories":2224},[73],{"categories":2226},[],{"categories":2228},[129],{"categories":2230},[129],{"categories":2232},[73],{"categories":2234},[154],{"categories":2236},[],{"categories":2238},[73],{"categories":2240},[73],{"categories":2242},[73],{"categories":2244},[154],{"categories":2246},[129],{"categories":2248},[117],{"categories":2250},[],{"categories":2252},[],{"categories":2254},[73],{"categories":2256},[73],{"categories":2258},[117],{"categories":2260},[117],{"categories":2262},[355],{"categories":2264},[129],{"categories":2266},[129],{"categories":2268},[117],{"categories":2270},[151],{"categories":2272},[151],{"categories":2274},[117],{"categories":2276},[117],{"categories":2278},[73],{"categories":2280},[107],{"categories":2282},[2105],{"categories":2284},[73,263],{"categories":2286},[154],{"categories":2288},[],{"categories":2290},[197],{"categories":2292},[129],{"categories":2294},[107],{"categories":2296},[73],{"categories":2298},[117],{"categories":2300},[2301],"The Designer's Role & Craft",{"categories":2303},[197],{"categories":2305},[],{"categories":2307},[117],{"categories":2309},[73],{"categories":2311},[117],{"categories":2313},[117],{"categories":2315},[73],{"categories":2317},[226],{"categories":2319},[73],{"categories":2321},[129],{"categories":2323},[73],{"categories":2325},[197],{"categories":2327},[73],{"categories":2329},[],{"categories":2331},[117],{"categories":2333},[197],{"categories":2335},[73],{"categories":2337},[73],{"categories":2339},[73],{"categories":2341},[2342],"AI UX Patterns",{"categories":2344},[117],{"categories":2346},[117],{"categories":2348},[117],{"categories":2350},[117],{"categories":2352},[226],{"categories":2354},[154],{"categories":2356},[73],{"categories":2358},[117],{"categories":2360},[73],{"categories":2362},[1166],{"categories":2364},[],{"categories":2366},[226],{"categories":2368},[117],{"categories":2370},[151],{"categories":2372},[129],{"categories":2374},[73],{"categories":2376},[117],{"categories":2378},[],{"categories":2380},[],{"categories":2382},[73],{"categories":2384},[117],{"categories":2386},[73],{"categories":2388},[117],{"categories":2390},[355],{"categories":2392},[197],{"categories":2394},[73],{"categories":2396},[151],{"categories":2398},[129],{"categories":2400},[73],{"categories":2402},[117],{"categories":2404},[117],{"categories":2406},[],{"categories":2408},[73],{"categories":2410},[],{"categories":2412},[],{"categories":2414},[73],{"categories":2416},[73],{"categories":2418},[73],{"categories":2420},[117],{"categories":2422},[129],{"categories":2424},[],{"categories":2426},[],{"categories":2428},[154],{"categories":2430},[140],{"categories":2432},[73],{"categories":2434},[73],{"categories":2436},[154],{"categories":2438},[73],{"categories":2440},[151],{"categories":2442},[73],{"categories":2444},[73],{"categories":2446},[73],{"categories":2448},[117],{"categories":2450},[73],{"categories":2452},[117],{"categories":2454},[73],{"categories":2456},[73],{"categories":2458},[117],{"categories":2460},[],{"categories":2462},[],{"categories":2464},[73],{"categories":2466},[263],{"categories":2468},[73],{"categories":2470},[],{"categories":2472},[],{"categories":2474},[197],{"categories":2476},[863],{"categories":2478},[117],{"categories":2480},[107],{"categories":2482},[2301],{"categories":2484},[],{"categories":2486},[],{"categories":2488},[73],{"categories":2490},[],{"categories":2492},[],{"categories":2494},[129],{"categories":2496},[151],{"categories":2498},[226],{"categories":2500},[112],{"categories":2502},[73],{"categories":2504},[73],{"categories":2506},[112],{"categories":2508},[],{"categories":2510},[197],{"categories":2512},[120],{"categories":2514},[73],{"categories":2516},[73],{"categories":2518},[117],{"categories":2520},[112],{"categories":2522},[73],{"categories":2524},[73],{"categories":2526},[107],{"categories":2528},[73],{"categories":2530},[],{"categories":2532},[107],{"categories":2534},[73],{"categories":2536},[226],{"categories":2538},[117],{"categories":2540},[151],{"categories":2542},[73],{"categories":2544},[129],{"categories":2546},[73],{"categories":2548},[73],{"categories":2550},[112],{"categories":2552},[73],{"categories":2554},[73],{"categories":2556},[73],{"categories":2558},[117],{"categories":2560},[],{"categories":2562},[73],{"categories":2564},[129],{"categories":2566},[107],{"categories":2568},[73],{"categories":2570},[73],{"categories":2572},[73],{"categories":2574},[],{"categories":2576},[73],{"categories":2578},[434],{"categories":2580},[117],{"categories":2582},[112],{"categories":2584},[151],{"categories":2586},[73],{"categories":2588},[73],{"categories":2590},[],{"categories":2592},[112],{"categories":2594},[112],{"categories":2596},[73],{"categories":2598},[73],{"categories":2600},[120],{"categories":2602},[73],{"categories":2604},[73],{"categories":2606},[73],{"categories":2608},[73],{"categories":2610},[129],{"categories":2612},[129],{"categories":2614},[73],{"categories":2616},[],{"categories":2618},[129],{"categories":2620},[73],{"categories":2622},[129],{"categories":2624},[117],{"categories":2626},[525],{"categories":2628},[],{"categories":2630},[],{"categories":2632},[73],{"categories":2634},[151],{"categories":2636},[],{"categories":2638},[263],{"categories":2640},[73],{"categories":2642},[73],{"categories":2644},[197],{"categories":2646},[827],{"categories":2648},[],{"categories":2650},[73],{"categories":2652},[73],{"categories":2654},[73],{"categories":2656},[129],{"categories":2658},[73],{"categories":2660},[73],{"categories":2662},[73,263],{"categories":2664},[73],{"categories":2666},[73],{"categories":2668},[197],{"categories":2670},[117],{"categories":2672},[],{"categories":2674},[117],{"categories":2676},[117],{"categories":2678},[73],{"categories":2680},[73],{"categories":2682},[73],{"categories":2684},[73],{"categories":2686},[154],{"categories":2688},[73],{"categories":2690},[2342],{"categories":2692},[107],{"categories":2694},[154],{"categories":2696},[107],{"categories":2698},[129],{"categories":2700},[197],{"categories":2702},[117],{"categories":2704},[73],{"categories":2706},[],{"categories":2708},[112],{"categories":2710},[73],{"categories":2712},[73],{"categories":2714},[151],{"categories":2716},[73],{"categories":2718},[73],{"categories":2720},[117],{"categories":2722},[73],{"categories":2724},[73],{"categories":2726},[73],{"categories":2728},[112],{"categories":2730},[],{"categories":2732},[263],{"categories":2734},[73],{"categories":2736},[355],{"categories":2738},[197],{"categories":2740},[197],{"categories":2742},[129],{"categories":2744},[117],{"categories":2746},[73],{"categories":2748},[112],{"categories":2750},[151],{"categories":2752},[73],{"categories":2754},[73],{"categories":2756},[197],{"categories":2758},[117],{"categories":2760},[117],{"categories":2762},[73],{"categories":2764},[73],{"categories":2766},[489],{"categories":2768},[],{"categories":2770},[73],{"categories":2772},[73],{"categories":2774},[73],{"categories":2776},[],{"categories":2778},[],{"categories":2780},[73],{"categories":2782},[73],{"categories":2784},[117],{"categories":2786},[73],{"categories":2788},[73],{"categories":2790},[73],{"categories":2792},[129],{"categories":2794},[73],{"categories":2796},[73],{"categories":2798},[117],{"categories":2800},[73],{"categories":2802},[73],{"categories":2804},[73],{"categories":2806},[73],{"categories":2808},[73],{"categories":2810},[],{"categories":2812},[129],{"categories":2814},[154],{"categories":2816},[73],{"categories":2818},[117],{"categories":2820},[73],{"categories":2822},[],{"categories":2824},[],{"categories":2826},[73],{"categories":2828},[73],{"categories":2830},[73],{"categories":2832},[151],{"categories":2834},[154],{"categories":2836},[],{"categories":2838},[73],{"categories":2840},[197],{"categories":2842},[73],{"categories":2844},[263],{"categories":2846},[1702],{"categories":2848},[151],{"categories":2850},[129],{"categories":2852},[73],{"categories":2854},[129],{"categories":2856},[129],{"categories":2858},[73],{"categories":2860},[73],{"categories":2862},[151],{"categories":2864},[151],{"categories":2866},[263],{"categories":2868},[117],{"categories":2870},[],{"categories":2872},[151],{"categories":2874},[73],{"categories":2876},[107],{"categories":2878},[129],{"categories":2880},[73],{"categories":2882},[151],{"categories":2884},[],{"categories":2886},[73],{"categories":2888},[129],{"categories":2890},[129],{"categories":2892},[154],{"categories":2894},[73],{"categories":2896},[151],{"categories":2898},[73],{"categories":2900},[129],{"categories":2902},[117],{"categories":2904},[151],{"categories":2906},[117],{"categories":2908},[263],{"categories":2910},[117],{"categories":2912},[73],{"categories":2914},[73],{"categories":2916},[73],{"categories":2918},[73],{"categories":2920},[129],{"categories":2922},[73],{"categories":2924},[],{"categories":2926},[117],{"categories":2928},[112],{"categories":2930},[129],{"categories":2932},[],{"categories":2934},[],{"categories":2936},[73],{"categories":2938},[117],{"categories":2940},[73],{"categories":2942},[73],{"categories":2944},[2945],"Frameworks & Tooling",{"categories":2947},[73],{"categories":2949},[73],{"categories":2951},[129],{"categories":2953},[73],{"categories":2955},[73],{"categories":2957},[],{"categories":2959},[154],{"categories":2961},[154],{"categories":2963},[107],{"categories":2965},[73],{"categories":2967},[117],{"categories":2969},[73],{"categories":2971},[197],{"categories":2973},[],{"categories":2975},[1702],{"categories":2977},[73],{"categories":2979},[129],{"categories":2981},[73],{"categories":2983},[263],{"categories":2985},[263],{"categories":2987},[],{"categories":2989},[117],{"categories":2991},[73],{"categories":2993},[151],{"categories":2995},[151],{"categories":2997},[73],{"categories":2999},[117],{"categories":3001},[],{"categories":3003},[197],{"categories":3005},[73],{"categories":3007},[73],{"categories":3009},[],{"categories":3011},[73],{"categories":3013},[117],{"categories":3015},[73],{"categories":3017},[73],{"categories":3019},[],{"categories":3021},[129],{"categories":3023},[73],{"categories":3025},[129],{"categories":3027},[263],{"categories":3029},[73],{"categories":3031},[73],{"categories":3033},[129],{"categories":3035},[112],{"categories":3037},[73],{"categories":3039},[1702],{"categories":3041},[],{"categories":3043},[117],{"categories":3045},[107],{"categories":3047},[73],{"categories":3049},[107],{"categories":3051},[73],{"categories":3053},[],{"categories":3055},[117],{"categories":3057},[73],{"categories":3059},[3060],"AI Design Tooling",{"categories":3062},[197],{"categories":3064},[73],{"categories":3066},[73],{"categories":3068},[129],{"categories":3070},[197],{"categories":3072},[73],{"categories":3074},[129],{"categories":3076},[151],{"categories":3078},[120],{"categories":3080},[129],{"categories":3082},[73],{"categories":3084},[73],{"categories":3086},[117],{"categories":3088},[73],{"categories":3090},[],{"categories":3092},[73],{"categories":3094},[73],{"categories":3096},[117],{"categories":3098},[73],{"categories":3100},[73],{"categories":3102},[73],{"categories":3104},[117],{"categories":3106},[],{"categories":3108},[117],{"categories":3110},[2945],{"categories":3112},[73],{"categories":3114},[73],{"categories":3116},[117],{"categories":3118},[117],{"categories":3120},[129],{"categories":3122},[129],{"categories":3124},[],{"categories":3126},[129],{"categories":3128},[73],{"categories":3130},[73],{"categories":3132},[117],{"categories":3134},[112],{"categories":3136},[73],{"categories":3138},[],{"categories":3140},[73],{"categories":3142},[73],{"categories":3144},[2105],{"categories":3146},[],{"categories":3148},[73],{"categories":3150},[73],{"categories":3152},[73],{"categories":3154},[73],{"categories":3156},[197],{"categories":3158},[73],{"categories":3160},[],{"categories":3162},[73],{"categories":3164},[73],{"categories":3166},[73],{"categories":3168},[226],{"categories":3170},[151],{"categories":3172},[73],{"categories":3174},[73],{"categories":3176},[1702],{"categories":3178},[107],{"categories":3180},[73],{"categories":3182},[73],{"categories":3184},[154],{"categories":3186},[73],{"categories":3188},[73],{"categories":3190},[151],{"categories":3192},[117],{"categories":3194},[],{"categories":3196},[73],{"categories":3198},[73],{"categories":3200},[197],{"categories":3202},[73],{"categories":3204},[226],{"categories":3206},[117],{"categories":3208},[73],{"categories":3210},[117],{"categories":3212},[],{"categories":3214},[],{"categories":3216},[],{"categories":3218},[107],{"categories":3220},[151],{"categories":3222},[117],{"categories":3224},[73],{"categories":3226},[73],{"categories":3228},[73],{"categories":3230},[73],{"categories":3232},[378],{"categories":3234},[197],{"categories":3236},[117],{"categories":3238},[73],{"categories":3240},[],{"categories":3242},[117],{"categories":3244},[117],{"categories":3246},[],{"categories":3248},[73],{"categories":3250},[117],{"categories":3252},[73],{"categories":3254},[],{"categories":3256},[73],{"categories":3258},[73],{"categories":3260},[73],{"categories":3262},[151],{"categories":3264},[197],{"categories":3266},[117],{"categories":3268},[197],{"categories":3270},[117],{"categories":3272},[73],{"categories":3274},[112],{"categories":3276},[],{"categories":3278},[],{"categories":3280},[73],{"categories":3282},[73],{"categories":3284},[107],{"categories":3286},[117],{"categories":3288},[151],{"categories":3290},[],{"categories":3292},[197],{"categories":3294},[],{"categories":3296},[129],{"categories":3298},[73],{"categories":3300},[129],{"categories":3302},[197],{"categories":3304},[129],{"categories":3306},[73],{"categories":3308},[],{"categories":3310},[73],{"categories":3312},[73],{"categories":3314},[],{"categories":3316},[73],{"categories":3318},[226],{"categories":3320},[73],{"categories":3322},[263],{"categories":3324},[129],{"categories":3326},[73],{"categories":3328},[],{"categories":3330},[117],{"categories":3332},[73],{"categories":3334},[107],{"categories":3336},[489],{"categories":3338},[73],{"categories":3340},[117],{"categories":3342},[73],{"categories":3344},[117],{"categories":3346},[73],{"categories":3348},[73],{"categories":3350},[73],{"categories":3352},[73],{"categories":3354},[],{"categories":3356},[73],{"categories":3358},[107],{"categories":3360},[73],{"categories":3362},[112],{"categories":3364},[129],{"categories":3366},[197],{"categories":3368},[],{"categories":3370},[73],{"categories":3372},[],{"categories":3374},[],{"categories":3376},[117],{"categories":3378},[73],{"categories":3380},[129],{"categories":3382},[197],{"categories":3384},[151],{"categories":3386},[73],{"categories":3388},[151],{"categories":3390},[117],{"categories":3392},[197],{"categories":3394},[73],{"categories":3396},[],{"categories":3398},[73],{"categories":3400},[140],{"categories":3402},[117],{"categories":3404},[73],{"categories":3406},[197],{"categories":3408},[151],{"categories":3410},[112],{"categories":3412},[129],{"categories":3414},[73],{"categories":3416},[73],{"categories":3418},[151],{"categories":3420},[226],{"categories":3422},[],{"categories":3424},[],{"categories":3426},[154],{"categories":3428},[434],{"categories":3430},[73],{"categories":3432},[117],{"categories":3434},[73,129],{"categories":3436},[151],{"categories":3438},[73],{"categories":3440},[73],{"categories":3442},[73],{"categories":3444},[73],{"categories":3446},[117],{"categories":3448},[73],{"categories":3450},[117],{"categories":3452},[73],{"categories":3454},[73],{"categories":3456},[73],{"categories":3458},[],{"categories":3460},[73],{"categories":3462},[1166],{"categories":3464},[129],{"categories":3466},[197],{"categories":3468},[73],{"categories":3470},[73],{"categories":3472},[73],{"categories":3474},[154],{"categories":3476},[117],{"categories":3478},[226],{"categories":3480},[263],{"categories":3482},[],{"categories":3484},[73],{"categories":3486},[112],{"categories":3488},[117],{"categories":3490},[107],{"categories":3492},[117],{"categories":3494},[73],{"categories":3496},[117],{"categories":3498},[117],{"categories":3500},[120],{"categories":3502},[129],{"categories":3504},[73],{"categories":3506},[73],{"categories":3508},[],{"categories":3510},[],{"categories":3512},[],{"categories":3514},[263],{"categories":3516},[73],{"categories":3518},[151],{"categories":3520},[73],{"categories":3522},[73],{"categories":3524},[73],{"categories":3526},[73],{"categories":3528},[],{"categories":3530},[73],{"categories":3532},[154],{"categories":3534},[112],{"categories":3536},[117],{"categories":3538},[73],{"categories":3540},[],{"categories":3542},[73],{"categories":3544},[117],{"categories":3546},[73],{"categories":3548},[263],{"categories":3550},[],{"categories":3552},[197],{"categories":3554},[197],{"categories":3556},[],{"categories":3558},[129],{"categories":3560},[73],{"categories":3562},[197],{"categories":3564},[73],{"categories":3566},[112],{"categories":3568},[117],{"categories":3570},[73],{"categories":3572},[],{"categories":3574},[151],{"categories":3576},[73],{"categories":3578},[73],{"categories":3580},[73],{"categories":3582},[197],{"categories":3584},[117],{"categories":3586},[151],{"categories":3588},[],{"categories":3590},[117],{"categories":3592},[112],{"categories":3594},[117],{"categories":3596},[197],{"categories":3598},[73],{"categories":3600},[73],{"categories":3602},[73],{"categories":3604},[434],{"categories":3606},[73],{"categories":3608},[],{"categories":3610},[73],{"categories":3612},[73],{"categories":3614},[263],{"categories":3616},[151],{"categories":3618},[154],{"categories":3620},[525],{"categories":3622},[154],{"categories":3624},[73],{"categories":3626},[],{"categories":3628},[],{"categories":3630},[],{"categories":3632},[117],{"categories":3634},[117],{"categories":3636},[117],{"categories":3638},[129],{"categories":3640},[73],{"categories":3642},[411],{"categories":3644},[129],{"categories":3646},[73],{"categories":3648},[73],{"categories":3650},[73],{"categories":3652},[73],{"categories":3654},[117],{"categories":3656},[],{"categories":3658},[],{"categories":3660},[73],{"categories":3662},[],{"categories":3664},[73],{"categories":3666},[117],{"categories":3668},[197],{"categories":3670},[73],{"categories":3672},[73],{"categories":3674},[],{"categories":3676},[117],{"categories":3678},[120],{"categories":3680},[73],{"categories":3682},[197],{"categories":3684},[73],{"categories":3686},[117],{"categories":3688},[112],{"categories":3690},[73],{"categories":3692},[226],{"categories":3694},[117],{"categories":3696},[73],{"categories":3698},[73],{"categories":3700},[827],{"categories":3702},[73],{"categories":3704},[117],{"categories":3706},[73],{"categories":3708},[129],{"categories":3710},[73],{"categories":3712},[489],{"categories":3714},[197],{"categories":3716},[],{"categories":3718},[73],{"categories":3720},[73],{"categories":3722},[151],{"categories":3724},[434],{"categories":3726},[117],{"categories":3728},[73],{"categories":3730},[],{"categories":3732},[151],{"categories":3734},[355],{"categories":3736},[117],{"categories":3738},[117],{"categories":3740},[117],{"categories":3742},[73],{"categories":3744},[73],{"categories":3746},[117],{"categories":3748},[],{"categories":3750},[112],{"categories":3752},[73],{"categories":3754},[112],{"categories":3756},[117],{"categories":3758},[],{"categories":3760},[129],{"categories":3762},[73],{"categories":3764},[73],{"categories":3766},[107],{"categories":3768},[151],{"categories":3770},[263],{"categories":3772},[140],{"categories":3774},[117],{"categories":3776},[117],{"categories":3778},[73],{"categories":3780},[117],{"categories":3782},[73],{"categories":3784},[107],{"categories":3786},[],{"categories":3788},[73],{"categories":3790},[73],{"categories":3792},[73],{"categories":3794},[117],{"categories":3796},[73],{"categories":3798},[],{"categories":3800},[73],{"categories":3802},[],{"categories":3804},[197],{"categories":3806},[117],{"categories":3808},[73,112],{"categories":3810},[117],{"categories":3812},[73],{"categories":3814},[],{"categories":3816},[107],{"categories":3818},[154],{"categories":3820},[112],{"categories":3822},[73],{"categories":3824},[129],{"categories":3826},[73],{"categories":3828},[73],{"categories":3830},[117],{"categories":3832},[73],{"categories":3834},[73],{"categories":3836},[73],{"categories":3838},[151],{"categories":3840},[1166],{"categories":3842},[117],{"categories":3844},[73],{"categories":3846},[],{"categories":3848},[],{"categories":3850},[73],{"categories":3852},[117],{"categories":3854},[73],{"categories":3856},[73],{"categories":3858},[263],{"categories":3860},[],{"categories":3862},[73],{"categories":3864},[117],{"categories":3866},[140],{"categories":3868},[117],{"categories":3870},[434],{"categories":3872},[],{"categories":3874},[378],{"categories":3876},[117],{"categories":3878},[73],{"categories":3880},[226],{"categories":3882},[117],{"categories":3884},[73],{"categories":3886},[154],{"categories":3888},[120],{"categories":3890},[117],{"categories":3892},[73],{"categories":3894},[434],{"categories":3896},[73],{"categories":3898},[263],{"categories":3900},[],{"categories":3902},[73],{"categories":3904},[226],{"categories":3906},[197],{"categories":3908},[73],{"categories":3910},[73],{"categories":3912},[73],{"categories":3914},[],{"categories":3916},[226],{"categories":3918},[151],{"categories":3920},[73],{"categories":3922},[73],{"categories":3924},[73],{"categories":3926},[525],{"categories":3928},[107],{"categories":3930},[73],{"categories":3932},[73],{"categories":3934},[],{"categories":3936},[],{"categories":3938},[197],{"categories":3940},[73],{"categories":3942},[154],{"categories":3944},[226],{"categories":3946},[117],{"categories":3948},[73],{"categories":3950},[73],{"categories":3952},[226],{"categories":3954},[151],{"categories":3956},[],{"categories":3958},[73],{"categories":3960},[73],{"categories":3962},[],{"categories":3964},[73],{"categories":3966},[73],{"categories":3968},[550],{"categories":3970},[73],{"categories":3972},[73],{"categories":3974},[117],{"categories":3976},[129],{"categories":3978},[434],{"categories":3980},[73],{"categories":3982},[73],{"categories":3984},[73],{"categories":3986},[],{"categories":3988},[73,129],{"categories":3990},[151],{"categories":3992},[117],{"categories":3994},[129],{"categories":3996},[117],{"categories":3998},[863],{"categories":4000},[129],{"categories":4002},[129],{"categories":4004},[117],{"categories":4006},[73],{"categories":4008},[107],{"categories":4010},[],{"categories":4012},[],{"categories":4014},[117],{"categories":4016},[73],{"categories":4018},[129],{"categories":4020},[73],{"categories":4022},[107],{"categories":4024},[129],{"categories":4026},[129],{"categories":4028},[73],{"categories":4030},[226],{"categories":4032},[73],{"categories":4034},[129],{"categories":4036},[73],{"categories":4038},[],{"categories":4040},[73],{"categories":4042},[197,73],{"categories":4044},[263],{"categories":4046},[107],{"categories":4048},[73],{"categories":4050},[],{"categories":4052},[73],{"categories":4054},[73],{"categories":4056},[112],{"categories":4058},[73],{"categories":4060},[112],{"categories":4062},[73],{"categories":4064},[73],{"categories":4066},[355],{"categories":4068},[73],{"categories":4070},[112],{"categories":4072},[129],{"categories":4074},[154],{"categories":4076},[117],{"categories":4078},[129],{"categories":4080},[73],{"categories":4082},[73],{"categories":4084},[151],{"categories":4086},[226],{"categories":4088},[197],{"categories":4090},[73],{"categories":4092},[73],{"categories":4094},[73],{"categories":4096},[73],{"categories":4098},[107],{"categories":4100},[73],{"categories":4102},[117],{"categories":4104},[117],{"categories":4106},[129],{"categories":4108},[151],{"categories":4110},[129],{"categories":4112},[129],{"categories":4114},[73],{"categories":4116},[73],{"categories":4118},[],{"categories":4120},[],{"categories":4122},[154],{"categories":4124},[73],{"categories":4126},[129],{"categories":4128},[73],{"categories":4130},[197],{"categories":4132},[434],{"categories":4134},[378],{"categories":4136},[355],{"categories":4138},[73],{"categories":4140},[73],{"categories":4142},[73],{"categories":4144},[154],{"categories":4146},[73],{"categories":4148},[73],{"categories":4150},[73],{"categories":4152},[73],{"categories":4154},[73],{"categories":4156},[73],{"categories":4158},[117],{"categories":4160},[107],{"categories":4162},[117],{"categories":4164},[73,112],{"categories":4166},[],{"categories":4168},[197],{"categories":4170},[],{"categories":4172},[120],{"categories":4174},[73],{"categories":4176},[151],{"categories":4178},[107],{"categories":4180},[73],{"categories":4182},[107],{"categories":4184},[117],{"categories":4186},[154],{"categories":4188},[117],{"categories":4190},[117],{"categories":4192},[73],{"categories":4194},[73],{"categories":4196},[112],{"categories":4198},[117],{"categories":4200},[129],{"categories":4202},[226],{"categories":4204},[73],{"categories":4206},[],{"categories":4208},[151],{"categories":4210},[73],{"categories":4212},[73],{"categories":4214},[73],{"categories":4216},[73],{"categories":4218},[73],{"categories":4220},[73],{"categories":4222},[129],{"categories":4224},[151],{"categories":4226},[129],{"categories":4228},[129],{"categories":4230},[73],{"categories":4232},[73],{"categories":4234},[73],{"categories":4236},[73],{"categories":4238},[378],{"categories":4240},[73],{"categories":4242},[117],{"categories":4244},[151],{"categories":4246},[73],{"categories":4248},[73],{"categories":4250},[73],{"categories":4252},[117],{"categories":4254},[73],{"categories":4256},[73],{"categories":4258},[73],{"categories":4260},[2945],{"categories":4262},[4263],"Clinical AI",{"categories":4265},[197],{"categories":4267},[73],{"categories":4269},[73],{"categories":4271},[73],{"categories":4273},[73],{"categories":4275},[263],{"categories":4277},[2342],{"categories":4279},[73],{"categories":4281},[120],{"categories":4283},[73],{"categories":4285},[117],{"categories":4287},[73],{"categories":4289},[73],{"categories":4291},[151],{"categories":4293},[73],{"categories":4295},[117],{"categories":4297},[129],{"categories":4299},[226],{"categories":4301},[73],{"categories":4303},[73],{"categories":4305},[112],{"categories":4307},[73],{"categories":4309},[73],{"categories":4311},[489],{"categories":4313},[73],{"categories":4315},[],{"categories":4317},[73],{"categories":4319},[129],{"categories":4321},[107],{"categories":4323},[73],{"categories":4325},[],{"categories":4327},[],{"categories":4329},[73],{"categories":4331},[],{"categories":4333},[112],{"categories":4335},[73],{"categories":4337},[73],{"categories":4339},[117],{"categories":4341},[151],{"categories":4343},[151],{"categories":4345},[151],{"categories":4347},[151],{"categories":4349},[],{"categories":4351},[107],{"categories":4353},[117],{"categories":4355},[151],{"categories":4357},[73],{"categories":4359},[550],{"categories":4361},[120],{"categories":4363},[73],{"categories":4365},[107],{"categories":4367},[73],{"categories":4369},[117],{"categories":4371},[73],{"categories":4373},[73],{"categories":4375},[73,117],{"categories":4377},[117],{"categories":4379},[263],{"categories":4381},[151],{"categories":4383},[117],{"categories":4385},[151],{"categories":4387},[117],{"categories":4389},[73],{"categories":4391},[],{"categories":4393},[151],{"categories":4395},[226],{"categories":4397},[107],{"categories":4399},[73],{"categories":4401},[73],{"categories":4403},[],{"categories":4405},[129],{"categories":4407},[],{"categories":4409},[107],{"categories":4411},[117],{"categories":4413},[151],{"categories":4415},[73],{"categories":4417},[151],{"categories":4419},[107],{"categories":4421},[151],{"categories":4423},[151],{"categories":4425},[],{"categories":4427},[112],{"categories":4429},[117],{"categories":4431},[151],{"categories":4433},[151],{"categories":4435},[151],{"categories":4437},[151],{"categories":4439},[151],{"categories":4441},[151],{"categories":4443},[151],{"categories":4445},[151],{"categories":4447},[151],{"categories":4449},[151],{"categories":4451},[154],{"categories":4453},[107],{"categories":4455},[73],{"categories":4457},[73],{"categories":4459},[117],{"categories":4461},[117],{"categories":4463},[],{"categories":4465},[73],{"categories":4467},[73,107],{"categories":4469},[],{"categories":4471},[117],{"categories":4473},[73],{"categories":4475},[151],{"categories":4477},[117],{"categories":4479},[863],{"categories":4481},[73],{"categories":4483},[73],{"categories":4485},[73],{"categories":4487},[73],{"categories":4489},[73],{"categories":4491},[355],{"categories":4493},[73],{"categories":4495},[73],{"categories":4497},[117],{"categories":4499},[73],{"categories":4501},[112],{"categories":4503},[120],{"categories":4505},[117],{"categories":4507},[117],{"categories":4509},[],{"categories":4511},[117],{"categories":4513},[197],{"categories":4515},[151],{"categories":4517},[73],{"categories":4519},[],{"categories":4521},[120],{"categories":4523},[],{"categories":4525},[129],{"categories":4527},[117],{"categories":4529},[197],{"categories":4531},[73],{"categories":4533},[],{"categories":4535},[73],{"categories":4537},[],{"categories":4539},[226],{"categories":4541},[73],{"categories":4543},[],{"categories":4545},[],{"categories":4547},[151],{"categories":4549},[107],{"categories":4551},[73],{"categories":4553},[73],{"categories":4555},[112],{"categories":4557},[73],{"categories":4559},[73],{"categories":4561},[73],{"categories":4563},[112],{"categories":4565},[112],{"categories":4567},[197],{"categories":4569},[],{"categories":4571},[73],{"categories":4573},[151],{"categories":4575},[],{"categories":4577},[73],{"categories":4579},[73],{"categories":4581},[197],{"categories":4583},[73],{"categories":4585},[73],{"categories":4587},[226],{"categories":4589},[73],{"categories":4591},[263],{"categories":4593},[],{"categories":4595},[117],{"categories":4597},[226],{"categories":4599},[129],{"categories":4601},[],{"categories":4603},[73],{"categories":4605},[],{"categories":4607},[117],{"categories":4609},[197],{"categories":4611},[129],{"categories":4613},[],{"categories":4615},[2945],{"categories":4617},[112],{"categories":4619},[107],{"categories":4621},[73],{"categories":4623},[154],{"categories":4625},[117],{"categories":4627},[197],{"categories":4629},[129],{"categories":4631},[],{"categories":4633},[],{"categories":4635},[73],{"categories":4637},[107],{"categories":4639},[73],{"categories":4641},[226],{"categories":4643},[],{"categories":4645},[117],{"categories":4647},[117],{"categories":4649},[73],{"categories":4651},[117],{"categories":4653},[73],{"categories":4655},[151],{"categories":4657},[129],{"categories":4659},[73],{"categories":4661},[117],{"categories":4663},[120],{"categories":4665},[73],{"categories":4667},[73],{"categories":4669},[117],{"categories":4671},[73],{"categories":4673},[120],{"categories":4675},[226],{"categories":4677},[151],{"categories":4679},[],{"categories":4681},[226],{"categories":4683},[73],{"categories":4685},[],{"categories":4687},[129],{"categories":4689},[117],{"categories":4691},[],{"categories":4693},[73],{"categories":4695},[73],{"categories":4697},[73],{"categories":4699},[73],{"categories":4701},[73],{"categories":4703},[117],{"categories":4705},[112],{"categories":4707},[107],{"categories":4709},[73],{"categories":4711},[197],{"categories":4713},[129],{"categories":4715},[129],{"categories":4717},[73],{"categories":4719},[154],{"categories":4721},[117],{"categories":4723},[73],{"categories":4725},[73],{"categories":4727},[117],{"categories":4729},[73],{"categories":4731},[112],{"categories":4733},[197],{"categories":4735},[129],{"categories":4737},[117],{"categories":4739},[73],{"categories":4741},[120],{"categories":4743},[73],{"categories":4745},[117],{"categories":4747},[73],{"categories":4749},[73],{"categories":4751},[151],{"categories":4753},[73],{"categories":4755},[],{"categories":4757},[107],{"categories":4759},[73],{"categories":4761},[73],{"categories":4763},[73],{"categories":4765},[129],{"categories":4767},[129],{"categories":4769},[73],{"categories":4771},[129],{"categories":4773},[73],{"categories":4775},[117],{"categories":4777},[73],{"categories":4779},[73],{"categories":4781},[73],{"categories":4783},[73],{"categories":4785},[73],{"categories":4787},[],{"categories":4789},[73],{"categories":4791},[197],{"categories":4793},[112],{"categories":4795},[151],{"categories":4797},[73],{"categories":4799},[117],{"categories":4801},[73],{"categories":4803},[117],{"categories":4805},[73],{"categories":4807},[73],{"categories":4809},[197],{"categories":4811},[117],{"categories":4813},[73],{"categories":4815},[226],{"categories":4817},[73],{"categories":4819},[154],{"categories":4821},[73],{"categories":4823},[73],{"categories":4825},[151],{"categories":4827},[73],{"categories":4829},[73],{"categories":4831},[73],{"categories":4833},[73],{"categories":4835},[117],{"categories":4837},[263],{"categories":4839},[73],{"categories":4841},[129],{"categories":4843},[117],{"categories":4845},[154],{"categories":4847},[],{"categories":4849},[117],{"categories":4851},[129],{"categories":4853},[73],{"categories":4855},[73],{"categories":4857},[2188],{"categories":4859},[197],{"categories":4861},[292],{"categories":4863},[73],{"categories":4865},[73],{"categories":4867},[73],{"categories":4869},[73],{"categories":4871},[107],{"categories":4873},[73],{"categories":4875},[73],{"categories":4877},[129],{"categories":4879},[112],{"categories":4881},[129],{"categories":4883},[73],{"categories":4885},[],{"categories":4887},[117],{"categories":4889},[117],{"categories":4891},[73],{"categories":4893},[73],{"categories":4895},[154],{"categories":4897},[],{"categories":4899},[151],{"categories":4901},[],{"categories":4903},[151],{"categories":4905},[73],{"categories":4907},[73],{"categories":4909},[117],{"categories":4911},[73],{"categories":4913},[117],{"categories":4915},[117],{"categories":4917},[],{"categories":4919},[73],{"categories":4921},[151],{"categories":4923},[73],{"categories":4925},[],{"categories":4927},[73],{"categories":4929},[73],{"categories":4931},[],{"categories":4933},[73],{"categories":4935},[197],{"categories":4937},[129],{"categories":4939},[117],{"categories":4941},[73],{"categories":4943},[73],{"categories":4945},[73],{"categories":4947},[226],{"categories":4949},[73],{"categories":4951},[73],{"categories":4953},[73],{"categories":4955},[107],{"categories":4957},[73],{"categories":4959},[73],{"categories":4961},[],{"categories":4963},[73],{"categories":4965},[73],{"categories":4967},[73],{"categories":4969},[],{"categories":4971},[107],{"categories":4973},[73],{"categories":4975},[151],{"categories":4977},[129],{"categories":4979},[120],{"categories":4981},[434],{"categories":4983},[73],{"categories":4985},[73],{"categories":4987},[73],{"categories":4989},[129],{"categories":4991},[151],{"categories":4993},[197],{"categories":4995},[73],{"categories":4997},[73],{"categories":4999},[73],{"categories":5001},[73],{"categories":5003},[151],{"categories":5005},[197],{"categories":5007},[73],{"categories":5009},[73],{"categories":5011},[151],{"categories":5013},[197],{"categories":5015},[73],{"categories":5017},[151],{"categories":5019},[73],{"categories":5021},[117],{"categories":5023},[117],{"categories":5025},[117],{"categories":5027},[129],{"categories":5029},[151],{"categories":5031},[117],{"categories":5033},[117],{"categories":5035},[73],{"categories":5037},[129],{"categories":5039},[197],{"categories":5041},[73],{"categories":5043},[73],{"categories":5045},[73],{"categories":5047},[],{"categories":5049},[117],{"categories":5051},[],{"categories":5053},[73],{"categories":5055},[73],{"categories":5057},[],{"categories":5059},[],{"categories":5061},[117],{"categories":5063},[112],{"categories":5065},[117],{"categories":5067},[5068],"Liability & Ethics",{"categories":5070},[73],{"categories":5072},[73],{"categories":5074},[117],{"categories":5076},[107],{"categories":5078},[117],{"categories":5080},[112],{"categories":5082},[226],{"categories":5084},[117],{"categories":5086},[73],{"categories":5088},[73],{"categories":5090},[],{"categories":5092},[525],{"categories":5094},[117],{"categories":5096},[],{"categories":5098},[73],{"categories":5100},[107],{"categories":5102},[117],{"categories":5104},[],{"categories":5106},[117],{"categories":5108},[73],{"categories":5110},[73],{"categories":5112},[129],{"categories":5114},[73],{"categories":5116},[151],{"categories":5118},[73],{"categories":5120},[73],{"categories":5122},[117],{"categories":5124},[73],{"categories":5126},[73],{"categories":5128},[73],{"categories":5130},[151],{"categories":5132},[117],{"categories":5134},[129],{"categories":5136},[197],{"categories":5138},[107],{"categories":5140},[73],{"categories":5142},[73],{"categories":5144},[],{"categories":5146},[117],{"categories":5148},[117],{"categories":5150},[117],{"categories":5152},[434],{"categories":5154},[197],{"categories":5156},[117],{"categories":5158},[263],{"categories":5160},[129],{"categories":5162},[151],{"categories":5164},[73],{"categories":5166},[197],{"categories":5168},[73],{"categories":5170},[107],{"categories":5172},[],{"categories":5174},[117],{"categories":5176},[73],{"categories":5178},[73],{"categories":5180},[73],{"categories":5182},[117],{"categories":5184},[73],{"categories":5186},[73],{"categories":5188},[197],{"categories":5190},[],{"categories":5192},[117],{"categories":5194},[120],{"categories":5196},[151],{"categories":5198},[117],{"categories":5200},[112],{"categories":5202},[],{"categories":5204},[73],{"categories":5206},[73],{"categories":5208},[120],{"categories":5210},[73],{"categories":5212},[117],{"categories":5214},[151],{"categories":5216},[107],{"categories":5218},[263],{"categories":5220},[73],{"categories":5222},[73],{"categories":5224},[73],{"categories":5226},[151],{"categories":5228},[112],{"categories":5230},[73],{"categories":5232},[197],{"categories":5234},[151],{"categories":5236},[263],{"categories":5238},[73],{"categories":5240},[117],{"categories":5242},[],{"categories":5244},[489],{"categories":5246},[],{"categories":5248},[73],{"categories":5250},[263],{"categories":5252},[73],{"categories":5254},[154],{"categories":5256},[117],{"categories":5258},[117],{"categories":5260},[5261],"Design News & Tools",{"categories":5263},[73],{"categories":5265},[151],{"categories":5267},[73],{"categories":5269},[73],{"categories":5271},[107],{"categories":5273},[73],{"categories":5275},[197],{"categories":5277},[117],{"categories":5279},[117],{"categories":5281},[197],{"categories":5283},[73],{"categories":5285},[434],{"categories":5287},[117],{"categories":5289},[73],{"categories":5291},[73],{"categories":5293},[434],{"categories":5295},[73],{"categories":5297},[226],{"categories":5299},[73],{"categories":5301},[117],{"categories":5303},[],{"categories":5305},[73],{"categories":5307},[73],{"categories":5309},[73],{"categories":5311},[151],{"categories":5313},[107],{"categories":5315},[],{"categories":5317},[73],{"categories":5319},[73],{"categories":5321},[73],{"categories":5323},[129],{"categories":5325},[550],{"categories":5327},[129],{"categories":5329},[197],{"categories":5331},[73],{"categories":5333},[73,117],{"categories":5335},[226,112],{"categories":5337},[129],{"categories":5339},[73],{"categories":5341},[73],{"categories":5343},[73],{"categories":5345},[73],{"categories":5347},[],{"categories":5349},[117],{"categories":5351},[73],{"categories":5353},[],{"categories":5355},[73],{"categories":5357},[129],{"categories":5359},[73],{"categories":5361},[129],{"categories":5363},[],{"categories":5365},[117],{"categories":5367},[73],{"categories":5369},[112],{"categories":5371},[73],{"categories":5373},[151],{"categories":5375},[73],{"categories":5377},[],{"categories":5379},[117],{"categories":5381},[73],{"categories":5383},[],{"categories":5385},[197],{"categories":5387},[73],{"categories":5389},[73],{"categories":5391},[117],{"categories":5393},[73],{"categories":5395},[73],{"categories":5397},[107],{"categories":5399},[117],{"categories":5401},[73],{"categories":5403},[],{"categories":5405},[263],{"categories":5407},[226],{"categories":5409},[112],{"categories":5411},[112],{"categories":5413},[73],{"categories":5415},[107],{"categories":5417},[107],{"categories":5419},[73],{"categories":5421},[117],{"categories":5423},[73],{"categories":5425},[73],{"categories":5427},[73],{"categories":5429},[73],{"categories":5431},[129],{"categories":5433},[73],{"categories":5435},[107],{"categories":5437},[73],{"categories":5439},[117],{"categories":5441},[73],{"categories":5443},[226],{"categories":5445},[73],{"categories":5447},[151],{"categories":5449},[73],{"categories":5451},[73],{"categories":5453},[117],{"categories":5455},[73],{"categories":5457},[73],{"categories":5459},[117],{"categories":5461},[],{"categories":5463},[129],{"categories":5465},[],{"categories":5467},[129],{"categories":5469},[117],{"categories":5471},[107],{"categories":5473},[],{"categories":5475},[154],{"categories":5477},[263],{"categories":5479},[73],{"categories":5481},[129],{"categories":5483},[73],{"categories":5485},[],{"categories":5487},[151],{"categories":5489},[117],{"categories":5491},[129],{"categories":5493},[197],{"categories":5495},[73],{"categories":5497},[73],{"categories":5499},[117],{"categories":5501},[129],{"categories":5503},[117],{"categories":5505},[151],{"categories":5507},[73],{"categories":5509},[120],{"categories":5511},[107],{"categories":5513},[120],{"categories":5515},[151],{"categories":5517},[73],{"categories":5519},[129],{"categories":5521},[73],{"categories":5523},[197],{"categories":5525},[112],{"categories":5527},[73],{"categories":5529},[73],{"categories":5531},[73],{"categories":5533},[73],{"categories":5535},[73],{"categories":5537},[73],{"categories":5539},[117],{"categories":5541},[73],{"categories":5543},[117],{"categories":5545},[73],{"categories":5547},[73],{"categories":5549},[107],{"categories":5551},[73],{"categories":5553},[117],{"categories":5555},[117],{"categories":5557},[197],{"categories":5559},[117],{"categories":5561},[117],{"categories":5563},[107],{"categories":5565},[117],{"categories":5567},[197],{"categories":5569},[],{"categories":5571},[73],{"categories":5573},[154],{"categories":5575},[434],{"categories":5577},[73],{"categories":5579},[73],{"categories":5581},[73],{"categories":5583},[129],{"categories":5585},[73],{"categories":5587},[],{"categories":5589},[73],{"categories":5591},[117],{"categories":5593},[73],{"categories":5595},[226],{"categories":5597},[73],{"categories":5599},[129],{"categories":5601},[151],{"categories":5603},[117],{"categories":5605},[73],{"categories":5607},[226],{"categories":5609},[117],{"categories":5611},[112],{"categories":5613},[112],{"categories":5615},[73],{"categories":5617},[73],{"categories":5619},[73],{"categories":5621},[73],{"categories":5623},[73],{"categories":5625},[107],{"categories":5627},[],{"categories":5629},[73],{"categories":5631},[73],{"categories":5633},[117],{"categories":5635},[117],{"categories":5637},[73],{"categories":5639},[73],{"categories":5641},[73],{"categories":5643},[129],{"categories":5645},[],{"categories":5647},[107],{"categories":5649},[73],{"categories":5651},[73],{"categories":5653},[117],{"categories":5655},[117],{"categories":5657},[],{"categories":5659},[129],{"categories":5661},[129],{"categories":5663},[73],{"categories":5665},[226],{"categories":5667},[112],{"categories":5669},[197],{"categories":5671},[],{"categories":5673},[73],{"categories":5675},[117],{"categories":5677},[107],{"categories":5679},[73],{"categories":5681},[73],{"categories":5683},[129],{"categories":5685},[107],{"categories":5687},[73],{"categories":5689},[73],{"categories":5691},[151],{"categories":5693},[154],{"categories":5695},[151],{"categories":5697},[117],{"categories":5699},[73],{"categories":5701},[],{"categories":5703},[151],{"categories":5705},[117],{"categories":5707},[197],{"categories":5709},[154],{"categories":5711},[73],{"categories":5713},[73],{"categories":5715},[],{"categories":5717},[117],{"categories":5719},[117],{"categories":5721},[117],{"categories":5723},[2945],{"categories":5725},[151],{"categories":5727},[73],{"categories":5729},[129],{"categories":5731},[73],{"categories":5733},[73],{"categories":5735},[73],{"categories":5737},[73],{"categories":5739},[112],{"categories":5741},[73],{"categories":5743},[107],{"categories":5745},[1702],{"categories":5747},[263],{"categories":5749},[107],{"categories":5751},[],{"categories":5753},[73],{"categories":5755},[],{"categories":5757},[151],{"categories":5759},[117],{"categories":5761},[197],{"categories":5763},[73],{"categories":5765},[73],{"categories":5767},[151],{"categories":5769},[],{"categories":5771},[117],{"categories":5773},[117],{"categories":5775},[117],{"categories":5777},[],{"categories":5779},[73],{"categories":5781},[],{"categories":5783},[151],{"categories":5785},[107],{"categories":5787},[197],{"categories":5789},[73],{"categories":5791},[117],{"categories":5793},[151],{"categories":5795},[73],{"categories":5797},[151],{"categories":5799},[],{"categories":5801},[151],{"categories":5803},[107],{"categories":5805},[434],{"categories":5807},[117],{"categories":5809},[73],{"categories":5811},[],{"categories":5813},[129],{"categories":5815},[117],{"categories":5817},[120],{"categories":5819},[117],{"categories":5821},[107],{"categories":5823},[],{"categories":5825},[],{"categories":5827},[],{"categories":5829},[197],{"categories":5831},[117],{"categories":5833},[73],{"categories":5835},[73],{"categories":5837},[],{"categories":5839},[],{"categories":5841},[],{"categories":5843},[73],{"categories":5845},[197],{"categories":5847},[73],{"categories":5849},[],{"categories":5851},[117],{"categories":5853},[73],{"categories":5855},[73],{"categories":5857},[107],{"categories":5859},[],{"categories":5861},[],{"categories":5863},[73],{"categories":5865},[73],{"categories":5867},[197],{"categories":5869},[73],{"categories":5871},[151],{"categories":5873},[],{"categories":5875},[73],{"categories":5877},[73],{"categories":5879},[226],{"categories":5881},[151],{"categories":5883},[226],{"categories":5885},[154],{"categories":5887},[73],{"categories":5889},[73],{"categories":5891},[],{"categories":5893},[],{"categories":5895},[117],{"categories":5897},[],{"categories":5899},[73],{"categories":5901},[434],{"categories":5903},[73],{"categories":5905},[73],{"categories":5907},[73],{"categories":5909},[73],{"categories":5911},[],{"categories":5913},[117],{"categories":5915},[73],{"categories":5917},[73],{"categories":5919},[],{"categories":5921},[117],{"categories":5923},[73],{"categories":5925},[151],{"categories":5927},[73],{"categories":5929},[226],{"categories":5931},[112],{"categories":5933},[73],{"categories":5935},[73],{"categories":5937},[117],{"categories":5939},[154],{"categories":5941},[117],{"categories":5943},[117],{"categories":5945},[],{"categories":5947},[117],{"categories":5949},[],{"categories":5951},[73],{"categories":5953},[],{"categories":5955},[151],{"categories":5957},[112],{"categories":5959},[],{"categories":5961},[73],{"categories":5963},[73],{"categories":5965},[],{"categories":5967},[197],{"categories":5969},[107],{"categories":5971},[],{"categories":5973},[112],{"categories":5975},[226],{"categories":5977},[73],{"categories":5979},[129],{"categories":5981},[107],{"categories":5983},[154],{"categories":5985},[112],{"categories":5987},[129],{"categories":5989},[117],{"categories":5991},[129],{"categories":5993},[],{"categories":5995},[73],{"categories":5997},[120],{"categories":5999},[73],{"categories":6001},[],{"categories":6003},[117],{"categories":6005},[107],{"categories":6007},[197],{"categories":6009},[73],{"categories":6011},[107],{"categories":6013},[117],{"categories":6015},[263],{"categories":6017},[73],{"categories":6019},[73],{"categories":6021},[73],{"categories":6023},[107],{"categories":6025},[154],{"categories":6027},[117],{"categories":6029},[],{"categories":6031},[73],{"categories":6033},[73],{"categories":6035},[73],{"categories":6037},[129],{"categories":6039},[117],{"categories":6041},[151],{"categories":6043},[129],{"categories":6045},[73],{"categories":6047},[120],{"categories":6049},[],{"categories":6051},[197],{"categories":6053},[129],{"categories":6055},[151],{"categories":6057},[107],{"categories":6059},[117],{"categories":6061},[73],{"categories":6063},[73],{"categories":6065},[117],{"categories":6067},[120],{"categories":6069},[73],{"categories":6071},[117],{"categories":6073},[73],{"categories":6075},[112],{"categories":6077},[117],{"categories":6079},[117,263],{"categories":6081},[73],{"categories":6083},[73],{"categories":6085},[117],{"categories":6087},[129],{"categories":6089},[73],{"categories":6091},[73],{"categories":6093},[154],{"categories":6095},[117],{"categories":6097},[226],{"categories":6099},[117],{"categories":6101},[112],{"categories":6103},[],{"categories":6105},[117],{"categories":6107},[73],{"categories":6109},[112],{"categories":6111},[],{"categories":6113},[],{"categories":6115},[129],{"categories":6117},[73],{"categories":6119},[73],{"categories":6121},[117],{"categories":6123},[154],{"categories":6125},[226],{"categories":6127},[73],{"categories":6129},[73],{"categories":6131},[117],{"categories":6133},[],{"categories":6135},[117],{"categories":6137},[151],{"categories":6139},[117],{"categories":6141},[73],{"categories":6143},[],{"categories":6145},[151],{"categories":6147},[129],{"categories":6149},[2945],{"categories":6151},[107],{"categories":6153},[129],{"categories":6155},[73],{"categories":6157},[117],{"categories":6159},[73],{"categories":6161},[73],{"categories":6163},[226],{"categories":6165},[129],{"categories":6167},[],{"categories":6169},[151],{"categories":6171},[73],{"categories":6173},[],{"categories":6175},[117],{"categories":6177},[73],{"categories":6179},[73],{"categories":6181},[73],{"categories":6183},[73],{"categories":6185},[117],{"categories":6187},[73],{"categories":6189},[73],{"categories":6191},[120],{"categories":6193},[73],{"categories":6195},[117],{"categories":6197},[73],{"categories":6199},[73],{"categories":6201},[73],{"categories":6203},[73],{"categories":6205},[73],{"categories":6207},[73],{"categories":6209},[73],{"categories":6211},[112],{"categories":6213},[],{"categories":6215},[120],{"categories":6217},[151],{"categories":6219},[117],{"categories":6221},[73],{"categories":6223},[129],{"categories":6225},[],{"categories":6227},[129],{"categories":6229},[129],{"categories":6231},[117],{"categories":6233},[129],{"categories":6235},[73],{"categories":6237},[73],{"categories":6239},[73],{"categories":6241},[117],{"categories":6243},[129],{"categories":6245},[73],{"categories":6247},[73],{"categories":6249},[73],{"categories":6251},[117],{"categories":6253},[151],{"categories":6255},[73],{"categories":6257},[73],{"categories":6259},[73],{"categories":6261},[112],{"categories":6263},[73],{"categories":6265},[117],{"categories":6267},[197],{"categories":6269},[],{"categories":6271},[73],{"categories":6273},[154],{"categories":6275},[117],{"categories":6277},[73],{"categories":6279},[73],{"categories":6281},[],{"categories":6283},[73],{"categories":6285},[73],{"categories":6287},[151],{"categories":6289},[73],{"categories":6291},[73],{"categories":6293},[117],{"categories":6295},[226],{"categories":6297},[],{"categories":6299},[],{"categories":6301},[129],{"categories":6303},[73],{"categories":6305},[151],{"categories":6307},[73],{"categories":6309},[129],{"categories":6311},[151],{"categories":6313},[73],{"categories":6315},[226],{"categories":6317},[154],{"categories":6319},[73],{"categories":6321},[73],{"categories":6323},[107],{"categories":6325},[117],{"categories":6327},[73],{"categories":6329},[73],{"categories":6331},[117],{"categories":6333},[117],{"categories":6335},[73],{"categories":6337},[112],{"categories":6339},[],{"categories":6341},[154],{"categories":6343},[73],{"categories":6345},[],{"categories":6347},[151],{"categories":6349},[73],{"categories":6351},[154],{"categories":6353},[73],{"categories":6355},[129],{"categories":6357},[129],{"categories":6359},[129],{"categories":6361},[117],{"categories":6363},[117],{"categories":6365},[73],{"categories":6367},[117],{"categories":6369},[73],{"categories":6371},[73],{"categories":6373},[197],{"categories":6375},[154],{"categories":6377},[154],{"categories":6379},[],{"categories":6381},[151],{"categories":6383},[73],{"categories":6385},[73],{"categories":6387},[129],{"categories":6389},[],{"categories":6391},[151],{"categories":6393},[151],{"categories":6395},[151],{"categories":6397},[],{"categories":6399},[117],{"categories":6401},[73],{"categories":6403},[],{"categories":6405},[107],{"categories":6407},[112],{"categories":6409},[],{"categories":6411},[73],{"categories":6413},[73],{"categories":6415},[],{"categories":6417},[129],{"categories":6419},[],{"categories":6421},[],{"categories":6423},[],{"categories":6425},[],{"categories":6427},[73],{"categories":6429},[151],{"categories":6431},[],{"categories":6433},[],{"categories":6435},[73],{"categories":6437},[73],{"categories":6439},[73],{"categories":6441},[154],{"categories":6443},[73],{"categories":6445},[154],{"categories":6447},[],{"categories":6449},[154],{"categories":6451},[154],{"categories":6453},[263],{"categories":6455},[117],{"categories":6457},[129],{"categories":6459},[],{"categories":6461},[],{"categories":6463},[154],{"categories":6465},[129],{"categories":6467},[129],{"categories":6469},[129],{"categories":6471},[],{"categories":6473},[107],{"categories":6475},[129],{"categories":6477},[129],{"categories":6479},[107],{"categories":6481},[129],{"categories":6483},[112],{"categories":6485},[129],{"categories":6487},[129],{"categories":6489},[129],{"categories":6491},[154],{"categories":6493},[151],{"categories":6495},[151],{"categories":6497},[73],{"categories":6499},[129],{"categories":6501},[154],{"categories":6503},[263],{"categories":6505},[154],{"categories":6507},[154],{"categories":6509},[154],{"categories":6511},[],{"categories":6513},[112],{"categories":6515},[],{"categories":6517},[263],{"categories":6519},[129],{"categories":6521},[129],{"categories":6523},[129],{"categories":6525},[117],{"categories":6527},[151,112],{"categories":6529},[154],{"categories":6531},[],{"categories":6533},[],{"categories":6535},[154],{"categories":6537},[],{"categories":6539},[154],{"categories":6541},[151],{"categories":6543},[117],{"categories":6545},[],{"categories":6547},[129],{"categories":6549},[73],{"categories":6551},[197],{"categories":6553},[],{"categories":6555},[73],{"categories":6557},[],{"categories":6559},[151],{"categories":6561},[107],{"categories":6563},[154],{"categories":6565},[],{"categories":6567},[129],{"categories":6569},[151],[6571,6629,6701,6769],{"id":6572,"title":6573,"ai":6574,"body":6579,"categories":6607,"created_at":74,"date_modified":74,"description":66,"extension":75,"faq":74,"featured":76,"kicker_label":74,"meta":6608,"navigation":84,"path":6619,"published_at":6620,"question":74,"scraped_at":6620,"seo":6621,"sitemap":6622,"source_id":6623,"source_name":90,"source_type":91,"source_url":6614,"stem":6624,"tags":6625,"thumbnail_url":74,"tldr":6626,"tweet":74,"unknown_tags":6627,"__hash__":6628},"summaries\u002Fsummaries\u002F3e5bbba96a6cde57-governed-persistent-memory-for-long-horizon-ai-age-summary.md","Governed Persistent Memory for Long-Horizon AI Agents",{"provider":7,"model":8,"input_tokens":6575,"output_tokens":6576,"processing_time_ms":6577,"cost_usd":6578},4084,494,2547,0.001762,{"type":14,"value":6580,"toc":6602},[6581,6585,6588,6592,6595,6599],[17,6582,6584],{"id":6583},"source-bound-state-semantics","Source-Bound State Semantics",[22,6586,6587],{},"The paper addresses the critical challenge of memory management in long-horizon AI agents, where standard context windows or unstructured vector databases often lead to state corruption or hallucination over time. The authors propose 'Source-Bound State Semantics,' a method that enforces strict provenance on memory entries. By binding memory states to their specific origin or 'source,' the system ensures that the agent can track the validity and context of information, preventing the cross-contamination of data that frequently occurs in long-running autonomous tasks.",[17,6589,6591],{"id":6590},"fail-closed-release-mechanisms","Fail-Closed Release Mechanisms",[22,6593,6594],{},"To mitigate the risks associated with autonomous agents operating over extended periods, the authors introduce a 'fail-closed' release architecture. Unlike traditional systems that might continue operating on stale or potentially compromised memory, this approach mandates that if the memory governance layer cannot verify the integrity or provenance of a state, the system defaults to a 'closed' or restricted state. This safety-first design ensures that agents do not propagate errors or make decisions based on unverified information, providing a robust guardrail for complex, multi-step agentic workflows.",[17,6596,6598],{"id":6597},"performance-and-evaluation","Performance and Evaluation",[22,6600,6601],{},"The framework was evaluated through a sealed end-to-end governed-memory service. The researchers compared their governed approach against an ungoverned local Qwen2.5-7B model. The results demonstrate that the governed memory architecture significantly improves the reliability of long-horizon tasks, effectively reducing the drift and error rates inherent in standard persistent memory implementations. The study includes 11 tables and 2 figures detailing the performance metrics, confirming that the overhead of governance is justified by the increase in task success rates and state consistency.",{"title":66,"searchDepth":67,"depth":67,"links":6603},[6604,6605,6606],{"id":6583,"depth":67,"text":6584},{"id":6590,"depth":67,"text":6591},{"id":6597,"depth":67,"text":6598},[73],{"content_references":6609,"triage":6616},[6610],{"type":6611,"title":6612,"author":6613,"url":6614,"context":6615},"other","Governed Persistent Memory: Source-Bound State Semantics and Fail-Closed Release for Long-Horizon Agents","arXiv:2608.12476","https:\u002F\u002Farxiv.org\u002Fabs\u002F2608.12476","cited",{"relevance":80,"novelty":80,"quality":80,"actionability":67,"composite":6617,"reasoning":6618},3.6,"Category: AI & LLMs. The article presents a novel framework for improving memory management in long-horizon AI agents, addressing a specific pain point related to reliability and safety. However, while it offers valuable insights and evaluation results, it lacks practical, actionable steps that the audience can directly implement.","\u002Fsummaries\u002F3e5bbba96a6cde57-governed-persistent-memory-for-long-horizon-ai-age-summary","2026-08-15 03:11:02",{"title":6573,"description":66},{"loc":6619},"3e5bbba96a6cde57","summaries\u002F3e5bbba96a6cde57-governed-persistent-memory-for-long-horizon-ai-age-summary",[96,95,98,97],"This research introduces a 'Governed Persistent Memory' framework that uses source-bound state semantics and fail-closed release mechanisms to improve reliability and safety in long-horizon AI agents.",[],"kmOOYVJstH1ceg3JtdwfF1Ok9X_OQl-0qpzojWZPipw",{"id":6630,"title":6631,"ai":6632,"body":6637,"categories":6680,"created_at":74,"date_modified":74,"description":66,"extension":75,"faq":74,"featured":76,"kicker_label":74,"meta":6681,"navigation":84,"path":6691,"published_at":6692,"question":74,"scraped_at":6692,"seo":6693,"sitemap":6694,"source_id":6695,"source_name":90,"source_type":91,"source_url":6686,"stem":6696,"tags":6697,"thumbnail_url":74,"tldr":6698,"tweet":74,"unknown_tags":6699,"__hash__":6700},"summaries\u002Fsummaries\u002Fe3ea631ac3d2ea7b-automating-process-engineering-diagrams-with-llms-summary.md","Automating Process Engineering Diagrams with LLMs",{"provider":7,"model":8,"input_tokens":6633,"output_tokens":6634,"processing_time_ms":6635,"cost_usd":6636},4036,463,2263,0.0017035,{"type":14,"value":6638,"toc":6675},[6639,6643,6646,6650,6653,6668,6672],[17,6640,6642],{"id":6641},"multi-agent-frameworks-for-engineering-diagrams","Multi-Agent Frameworks for Engineering Diagrams",[22,6644,6645],{},"The research introduces a systematic approach to automating the creation and validation of complex engineering diagrams, specifically Process Flow Diagrams (PFDs) and Piping and Instrumentation Diagrams (P&IDs). By leveraging multi-agent systems, the authors address the high error rates and time-intensive nature of manual drafting in process engineering. The framework utilizes LLMs to interpret engineering requirements and translate them into structured, compliant diagrams.",[17,6647,6649],{"id":6648},"from-conceptual-design-to-technical-validation","From Conceptual Design to Technical Validation",[22,6651,6652],{},"The process is divided into two primary stages:",[6654,6655,6656,6662],"ol",{},[39,6657,6658,6661],{},[42,6659,6660],{},"Optimal PFD Generation:"," The system acts as a conceptual engine, translating high-level process requirements into logical flow diagrams. This stage focuses on identifying the necessary equipment, stream connections, and operational logic required to meet specific production goals.",[39,6663,6664,6667],{},[42,6665,6666],{},"Validated P&ID Synthesis:"," Once the PFD is established, the system transitions to the more granular P&ID phase. This involves adding instrumentation, control loops, and piping specifications. The validation layer is critical here; the agents cross-reference the generated diagrams against industry standards and safety protocols to ensure the output is technically viable and compliant with engineering regulations.",[17,6669,6671],{"id":6670},"addressing-engineering-complexity","Addressing Engineering Complexity",[22,6673,6674],{},"The core challenge addressed is the translation of unstructured natural language requirements into highly structured, domain-specific visual data. By employing a multi-agent architecture, the system can perform iterative checks—where one agent proposes a design and another acts as a 'validator' to catch inconsistencies or missing safety instrumentation. This approach significantly reduces the cognitive load on human engineers and minimizes the risk of downstream errors in plant design.",{"title":66,"searchDepth":67,"depth":67,"links":6676},[6677,6678,6679],{"id":6641,"depth":67,"text":6642},{"id":6648,"depth":67,"text":6649},{"id":6670,"depth":67,"text":6671},[73],{"content_references":6682,"triage":6687},[6683],{"type":6684,"title":6685,"url":6686,"context":6615},"paper","LLMs in Process Diagram Engineering: From Optimal PFDs to Validated P&IDs","https:\u002F\u002Farxiv.org\u002Fabs\u002F2608.11220",{"relevance":6688,"novelty":80,"quality":80,"actionability":81,"composite":6689,"reasoning":6690},5,4.15,"Category: AI & LLMs. The article presents a novel multi-agent framework for automating engineering diagrams, directly addressing the pain point of manual drafting errors in process engineering. It offers insights into the practical application of LLMs in generating and validating complex diagrams, although it lacks detailed actionable steps for implementation.","\u002Fsummaries\u002Fe3ea631ac3d2ea7b-automating-process-engineering-diagrams-with-llms-summary","2026-08-14 03:21:15",{"title":6631,"description":66},{"loc":6691},"e3ea631ac3d2ea7b","summaries\u002Fe3ea631ac3d2ea7b-automating-process-engineering-diagrams-with-llms-summary",[95,96,98,97],"This research explores a multi-agent framework for generating and validating Process Flow Diagrams (PFDs) and Piping and Instrumentation Diagrams (P&IDs) using LLMs to reduce manual engineering errors.",[],"XP95KgSd_cxZgejHcqQFx7Fp9mYJKChhtSrtuOtT9Qw",{"id":6702,"title":6703,"ai":6704,"body":6709,"categories":6751,"created_at":74,"date_modified":74,"description":66,"extension":75,"faq":74,"featured":76,"kicker_label":74,"meta":6752,"navigation":84,"path":6759,"published_at":6760,"question":74,"scraped_at":6760,"seo":6761,"sitemap":6762,"source_id":6763,"source_name":90,"source_type":91,"source_url":6756,"stem":6764,"tags":6765,"thumbnail_url":74,"tldr":6766,"tweet":74,"unknown_tags":6767,"__hash__":6768},"summaries\u002Fsummaries\u002F693ac8735663ebd4-agentpatch-coarse-to-fine-repair-for-merging-multi-summary.md","AgentPatch: Coarse-to-Fine Repair for Merging Multimodal AI Agents",{"provider":7,"model":8,"input_tokens":6705,"output_tokens":6706,"processing_time_ms":6707,"cost_usd":6708},4021,570,2745,0.00186025,{"type":14,"value":6710,"toc":6746},[6711,6715,6718,6722,6725,6739,6743],[17,6712,6714],{"id":6713},"the-challenge-of-merging-multimodal-agents","The Challenge of Merging Multimodal Agents",[22,6716,6717],{},"Merging specialized multimodal large language models (MLLMs) often leads to 'catastrophic forgetting' or performance degradation, particularly in agentic tasks that require complex reasoning across diverse domains. When models are merged, the resulting weights often conflict, causing the model to lose proficiency in specific tasks where the individual source models previously excelled. AgentPatch addresses this by moving beyond simple weight averaging to a targeted, task-specific repair mechanism.",[17,6719,6721],{"id":6720},"the-coarse-to-fine-repair-strategy","The Coarse-to-Fine Repair Strategy",[22,6723,6724],{},"AgentPatch operates on a two-stage 'coarse-to-fine' methodology to restore performance in merged models:",[6654,6726,6727,6733],{},[39,6728,6729,6732],{},[42,6730,6731],{},"Coarse Identification",": The system first identifies 'weak tasks'—specific capabilities where the merged model underperforms compared to its parent models. This is achieved by evaluating the model across a diverse set of agentic benchmarks to pinpoint where the merging process introduced regressions.",[39,6734,6735,6738],{},[42,6736,6737],{},"Fine-Grained Repair",": Once weak tasks are identified, AgentPatch applies a surgical update to the model's parameters. Instead of retraining the entire model, it isolates the specific weights responsible for the task-specific degradation and applies a corrective patch. This ensures that the global performance of the merged model is maintained while the specific weak-task capabilities are restored to their original (or improved) levels.",[17,6740,6742],{"id":6741},"why-this-matters-for-ai-engineering","Why This Matters for AI Engineering",[22,6744,6745],{},"This approach is significant for developers building agentic systems because it enables the creation of 'super-agents' by combining specialized models without the need for massive, compute-intensive retraining. By treating model merging as a modular engineering problem—where specific capabilities can be patched—AgentPatch provides a more efficient path to deploying multimodal agents that need to excel at a wide range of disparate tasks, from visual reasoning to complex tool usage.",{"title":66,"searchDepth":67,"depth":67,"links":6747},[6748,6749,6750],{"id":6713,"depth":67,"text":6714},{"id":6720,"depth":67,"text":6721},{"id":6741,"depth":67,"text":6742},[73],{"content_references":6753,"triage":6757},[6754],{"type":6684,"title":6755,"url":6756,"context":6615},"AgentPatch: Coarse-to-Fine Weak-Task Repair for Merging Agentic Multimodal Large Language Models","https:\u002F\u002Farxiv.org\u002Fabs\u002F2608.06699",{"relevance":6688,"novelty":80,"quality":80,"actionability":81,"composite":6689,"reasoning":6758},"Category: AI & LLMs. The article discusses a novel approach to improving the performance of merged multimodal AI agents, addressing a specific pain point in AI engineering related to model degradation. It provides a detailed methodology that could inspire actionable strategies for developers working on agentic systems.","\u002Fsummaries\u002F693ac8735663ebd4-agentpatch-coarse-to-fine-repair-for-merging-multi-summary","2026-08-11 03:21:37",{"title":6703,"description":66},{"loc":6759},"693ac8735663ebd4","summaries\u002F693ac8735663ebd4-agentpatch-coarse-to-fine-repair-for-merging-multi-summary",[95,96,98,97],"AgentPatch improves the performance of merged multimodal LLMs by identifying and repairing specific weak-task capabilities through a coarse-to-fine optimization process, preventing the performance degradation typical of model merging.",[],"DtPNptWAUitfJq4M17JCratram6VaUWjKVxw8VZaqJE",{"id":6770,"title":6771,"ai":6772,"body":6777,"categories":6820,"created_at":74,"date_modified":74,"description":66,"extension":75,"faq":74,"featured":76,"kicker_label":74,"meta":6821,"navigation":84,"path":6830,"published_at":6831,"question":74,"scraped_at":6831,"seo":6832,"sitemap":6833,"source_id":6834,"source_name":90,"source_type":91,"source_url":6826,"stem":6835,"tags":6836,"thumbnail_url":74,"tldr":6837,"tweet":74,"unknown_tags":6838,"__hash__":6839},"summaries\u002Fsummaries\u002F3e2c545fc689a887-skilltrace-auditing-provenance-in-llm-agent-skill--summary.md","SkillTrace: Auditing Provenance in LLM-Agent Skill Reuse",{"provider":7,"model":8,"input_tokens":6773,"output_tokens":6774,"processing_time_ms":6775,"cost_usd":6776},4031,476,2701,0.00172175,{"type":14,"value":6778,"toc":6816},[6779,6783,6786,6790,6793,6813],[17,6780,6782],{"id":6781},"the-challenge-of-skill-provenance-in-agentic-workflows","The Challenge of Skill Provenance in Agentic Workflows",[22,6784,6785],{},"As LLM agents become more sophisticated, they increasingly rely on 'skill reuse'—the ability to leverage previously learned or stored procedures to solve new tasks. However, this capability introduces a significant 'black box' problem: when an agent executes a complex task using a library of skills, it becomes difficult to trace which specific prior experiences or training traces informed the current decision-making process. SkillTrace addresses this by implementing a multi-trace provenance auditing system, allowing developers and researchers to map the lineage of agentic actions back to their source traces.",[17,6787,6789],{"id":6788},"multi-trace-auditing-architecture","Multi-Trace Auditing Architecture",[22,6791,6792],{},"SkillTrace functions by capturing and indexing execution traces during the agent's learning phase. When an agent attempts to reuse a skill, the system performs a provenance check that correlates the current context with the historical data that originally generated the skill. This allows for:",[36,6794,6795,6801,6807],{},[39,6796,6797,6800],{},[42,6798,6799],{},"Attribution:"," Identifying which specific past interaction or training data point contributed to a particular skill's current implementation.",[39,6802,6803,6806],{},[42,6804,6805],{},"Verification:"," Ensuring that the reused skill is being applied in a context consistent with its original intent, reducing the risk of 'hallucinated' or misapplied capabilities.",[39,6808,6809,6812],{},[42,6810,6811],{},"Debugging:"," Providing a clear audit trail when an agent fails, enabling developers to see if the error originated from the base skill or the current execution context.",[22,6814,6815],{},"By moving beyond simple skill storage to a provenance-aware architecture, SkillTrace provides a necessary layer of accountability for autonomous systems operating in complex, multi-step environments.",{"title":66,"searchDepth":67,"depth":67,"links":6817},[6818,6819],{"id":6781,"depth":67,"text":6782},{"id":6788,"depth":67,"text":6789},[73],{"content_references":6822,"triage":6828},[6823],{"type":6684,"title":6824,"author":6825,"url":6826,"context":6827},"SkillTrace: Multi-Trace Provenance Auditing for LLM-Agent Skill Reuse","Unknown","https:\u002F\u002Farxiv.org\u002Fabs\u002F2608.05204","reviewed",{"relevance":80,"novelty":80,"quality":80,"actionability":81,"composite":82,"reasoning":6829},"Category: AI & LLMs. The article discusses a framework for auditing skill reuse in LLM agents, addressing a specific pain point of transparency and accountability in AI systems. It presents a novel approach to skill provenance that could be beneficial for developers working with LLMs, although it lacks detailed actionable steps for implementation.","\u002Fsummaries\u002F3e2c545fc689a887-skilltrace-auditing-provenance-in-llm-agent-skill-summary","2026-08-08 03:10:10",{"title":6771,"description":66},{"loc":6830},"3e2c545fc689a887","summaries\u002F3e2c545fc689a887-skilltrace-auditing-provenance-in-llm-agent-skill--summary",[95,96,98,97],"SkillTrace provides a framework for auditing the provenance of skills reused by LLM agents, ensuring transparency and accountability when agents leverage previously learned capabilities across multiple execution traces.",[],"gZzj6oLNpYpExZn3V0MZMMWkEOx3ESBTSqm4_1-lMVY"]