[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"summary-f72ebdfe7d5a4bd6-llms-hit-a-hard-limit-on-multi-constraint-instruct-summary":3,"summaries-facets-categories":74,"summary-related-f72ebdfe7d5a4bd6-llms-hit-a-hard-limit-on-multi-constraint-instruct-summary":6488},{"id":4,"title":5,"ai":6,"body":13,"categories":41,"created_at":43,"date_modified":43,"description":36,"extension":44,"faq":43,"featured":45,"kicker_label":43,"meta":46,"navigation":58,"path":59,"published_at":60,"question":43,"scraped_at":60,"seo":61,"sitemap":62,"source_id":63,"source_name":64,"source_type":65,"source_url":51,"stem":66,"tags":67,"thumbnail_url":43,"tldr":71,"tweet":43,"unknown_tags":72,"__hash__":73},"summaries\u002Fsummaries\u002Ff72ebdfe7d5a4bd6-llms-hit-a-hard-limit-on-multi-constraint-instruct-summary.md","LLMs Hit a Hard Limit on Multi-Constraint Instruction Following",{"provider":7,"model":8,"input_tokens":9,"output_tokens":10,"processing_time_ms":11,"cost_usd":12},"openrouter","google\u002Fgemini-3.1-flash-lite",4089,453,2389,0.00170175,{"type":14,"value":15,"toc":35},"minimark",[16,21,25,29,32],[17,18,20],"h2",{"id":19},"the-phase-transition-phenomenon-in-llm-reasoning","The Phase Transition Phenomenon in LLM Reasoning",[22,23,24],"p",{},"Research indicates that Large Language Models (LLMs) do not scale linearly in their ability to follow multiple instructions simultaneously. Instead, they experience 'phase transitions'—a threshold where the model's ability to satisfy a set of constraints remains stable until a critical point is reached, at which performance collapses abruptly. This suggests that LLMs do not possess a fluid, general-purpose reasoning capability for complex, multi-layered tasks, but rather operate within a bounded 'constraint capacity' that is highly sensitive to the number of active requirements.",[17,26,28],{"id":27},"implications-for-prompt-engineering-and-system-design","Implications for Prompt Engineering and System Design",[22,30,31],{},"This finding challenges the common practice of 'stacking' instructions in prompts. Because the drop-off in performance is sudden rather than incremental, developers cannot rely on gradual degradation to signal when a prompt has become too complex. Instead, systems that require high-fidelity adherence to multiple constraints (e.g., specific formatting, tone, length, and content restrictions) are prone to silent failures once the model's internal threshold is crossed.",[22,33,34],{},"To mitigate these risks, the research suggests that complex tasks should be decomposed into sequential, single-constraint steps rather than attempting to force a model to satisfy all constraints in a single pass. This architectural shift—moving from monolithic prompts to multi-step agentic workflows—is necessary to stay below the 'phase transition' threshold and maintain reliable output quality.",{"title":36,"searchDepth":37,"depth":37,"links":38},"",2,[39,40],{"id":19,"depth":37,"text":20},{"id":27,"depth":37,"text":28},[42],"AI & LLMs",null,"md",false,{"content_references":47,"triage":53},[48],{"type":49,"title":50,"url":51,"context":52},"paper","Large Language Models Can Follow Instructions, But Not Many at Once: Phase Transitions in Compositional Constraint Satisfaction","https:\u002F\u002Farxiv.org\u002Fabs\u002F2608.12426","reviewed",{"relevance":54,"novelty":55,"quality":55,"actionability":55,"composite":56,"reasoning":57},5,4,4.35,"Category: AI & LLMs. The article provides deep insights into the limitations of LLMs in handling multiple constraints, which is crucial for developers working on AI-powered products. It offers actionable guidance on decomposing complex tasks into simpler steps, directly addressing a pain point for the audience.",true,"\u002Fsummaries\u002Ff72ebdfe7d5a4bd6-llms-hit-a-hard-limit-on-multi-constraint-instruct-summary","2026-08-15 03:11:03",{"title":5,"description":36},{"loc":59},"f72ebdfe7d5a4bd6","arXiv cs.AI","article","summaries\u002Ff72ebdfe7d5a4bd6-llms-hit-a-hard-limit-on-multi-constraint-instruct-summary",[68,69,70],"llm","research","machine-learning","LLMs exhibit 'phase transitions' in performance, where adding a single additional constraint causes a sudden, catastrophic drop in instruction-following capability rather than a gradual decline.",[],"8wPAYwNg_Ix5oXIsa6m8lUSvF6Lomp5SBhl2BBOAyR0",[75,77,80,82,85,87,90,93,95,97,99,102,104,106,108,110,113,115,117,119,121,124,127,129,131,133,135,137,139,141,143,145,147,149,151,153,155,157,159,161,163,165,167,170,172,174,176,178,180,182,184,186,188,190,192,194,196,199,201,203,205,207,209,211,213,215,217,219,221,223,225,227,229,231,233,236,238,240,242,244,246,248,250,252,254,256,258,260,262,265,267,269,271,273,275,277,279,281,283,285,287,289,291,293,295,297,299,301,303,305,307,309,311,313,315,317,319,321,323,325,328,330,332,334,336,338,340,342,344,346,348,351,353,355,357,359,361,363,365,367,369,371,373,375,377,379,381,384,386,388,390,392,394,396,398,400,402,404,407,409,411,413,415,417,419,421,423,425,427,429,431,433,435,437,439,441,443,445,447,449,451,453,455,457,459,462,464,466,469,471,473,475,477,479,481,483,485,487,489,491,493,495,498,500,502,504,506,508,510,512,514,516,518,520,523,525,527,529,531,533,535,537,539,541,543,545,547,549,551,553,555,557,559,561,563,565,567,569,571,573,575,577,579,581,583,585,587,589,591,593,595,597,599,601,603,605,607,609,611,613,615,617,619,621,623,625,627,629,631,633,635,637,639,641,643,645,647,649,651,653,655,657,659,661,663,665,667,669,671,673,675,677,679,681,683,685,687,689,691,693,695,697,699,701,703,705,707,709,711,713,715,717,719,721,723,725,727,729,731,733,735,737,739,741,743,745,747,749,751,753,755,757,759,761,763,765,767,769,771,773,775,777,779,781,783,785,787,789,791,793,795,798,800,802,804,806,809,811,813,815,817,819,821,823,825,827,829,831,834,836,838,840,842,844,846,848,850,852,854,856,858,860,862,864,866,868,870,872,874,876,878,880,882,884,886,888,890,892,894,896,898,900,902,904,906,908,910,912,914,916,918,920,922,924,926,928,930,932,934,936,938,940,942,944,946,948,950,952,954,956,958,960,962,964,966,968,970,972,974,976,978,980,982,984,986,988,990,992,994,996,998,1000,1002,1004,1006,1008,1010,1012,1014,1016,1018,1020,1022,1024,1026,1028,1030,1032,1034,1036,1038,1040,1042,1044,1046,1048,1050,1052,1054,1056,1058,1060,1062,1064,1066,1068,1070,1072,1074,1076,1078,1080,1082,1084,1086,1088,1090,1092,1094,1096,1098,1100,1102,1104,1106,1108,1110,1112,1114,1116,1118,1120,1122,1124,1126,1128,1130,1133,1135,1137,1139,1141,1143,1145,1147,1149,1151,1153,1155,1157,1159,1161,1163,1165,1167,1169,1171,1173,1175,1177,1179,1181,1183,1185,1187,1189,1191,1193,1195,1197,1199,1201,1203,1205,1207,1209,1211,1213,1215,1217,1219,1221,1223,1225,1227,1229,1231,1233,1235,1237,1239,1241,1243,1245,1247,1249,1251,1253,1255,1257,1259,1261,1263,1265,1267,1269,1271,1273,1275,1277,1279,1281,1283,1285,1287,1289,1291,1293,1295,1297,1299,1301,1303,1305,1307,1309,1311,1313,1315,1317,1319,1321,1324,1326,1328,1330,1332,1334,1336,1338,1340,1342,1344,1346,1348,1350,1352,1354,1356,1358,1360,1362,1364,1366,1368,1370,1372,1374,1376,1378,1380,1382,1384,1386,1388,1390,1392,1394,1396,1398,1400,1402,1404,1406,1408,1410,1412,1414,1416,1418,1420,1422,1424,1426,1428,1430,1432,1434,1436,1438,1440,1442,1444,1446,1448,1450,1452,1454,1457,1459,1461,1463,1465,1467,1469,1471,1473,1475,1477,1479,1481,1483,1485,1487,1489,1491,1493,1495,1497,1499,1501,1503,1505,1507,1509,1511,1513,1515,1517,1519,1521,1523,1525,1527,1529,1531,1533,1535,1537,1539,1541,1543,1545,1547,1549,1551,1553,1555,1557,1559,1561,1563,1565,1567,1569,1571,1573,1575,1577,1579,1581,1583,1585,1587,1589,1591,1593,1595,1597,1599,1602,1604,1606,1608,1610,1612,1614,1616,1618,1620,1622,1624,1626,1628,1630,1632,1634,1636,1638,1640,1642,1644,1646,1648,1650,1652,1654,1656,1658,1660,1663,1665,1667,1669,1671,1673,1675,1677,1679,1681,1683,1685,1687,1689,1691,1693,1695,1697,1699,1701,1703,1705,1707,1709,1711,1713,1715,1717,1719,1721,1723,1725,1727,1729,1731,1733,1735,1737,1739,1741,1743,1745,1747,1749,1751,1753,1755,1757,1759,1761,1763,1765,1767,1769,1771,1773,1775,1777,1779,1781,1783,1785,1787,1789,1791,1793,1795,1797,1799,1801,1803,1805,1807,1809,1811,1813,1815,1817,1819,1821,1823,1825,1827,1829,1831,1833,1835,1837,1839,1841,1843,1845,1847,1849,1851,1853,1855,1857,1859,1861,1863,1865,1867,1869,1871,1873,1875,1877,1879,1881,1883,1885,1887,1889,1891,1893,1895,1897,1899,1901,1903,1905,1907,1909,1911,1913,1915,1917,1919,1921,1923,1925,1927,1929,1931,1933,1935,1937,1939,1941,1943,1945,1947,1949,1951,1953,1955,1957,1959,1961,1963,1965,1967,1969,1971,1973,1975,1977,1979,1981,1983,1985,1987,1989,1991,1993,1995,1997,1999,2001,2003,2005,2007,2009,2011,2013,2015,2017,2019,2021,2023,2025,2027,2029,2031,2033,2035,2037,2039,2041,2043,2045,2047,2049,2051,2053,2055,2057,2059,2061,2064,2066,2068,2070,2072,2074,2076,2078,2080,2082,2084,2086,2088,2090,2092,2094,2096,2098,2100,2102,2104,2106,2108,2110,2112,2114,2116,2118,2120,2122,2124,2126,2128,2130,2132,2134,2136,2138,2140,2142,2144,2147,2149,2151,2153,2155,2157,2159,2161,2163,2165,2167,2169,2171,2173,2175,2177,2179,2181,2183,2185,2187,2189,2191,2193,2195,2197,2199,2201,2203,2205,2207,2209,2211,2213,2215,2217,2219,2221,2223,2225,2227,2229,2231,2233,2235,2237,2239,2241,2243,2245,2247,2249,2251,2253,2255,2257,2260,2262,2264,2266,2268,2270,2272,2274,2276,2278,2280,2282,2284,2286,2288,2290,2292,2294,2296,2298,2301,2303,2305,2307,2309,2311,2313,2315,2317,2319,2321,2323,2325,2327,2329,2331,2333,2335,2337,2339,2341,2343,2345,2347,2349,2351,2353,2355,2357,2359,2361,2363,2365,2367,2369,2371,2373,2375,2377,2379,2381,2383,2385,2387,2389,2391,2393,2395,2397,2399,2401,2403,2405,2407,2409,2411,2413,2415,2417,2419,2421,2423,2425,2427,2429,2431,2433,2435,2437,2439,2441,2443,2445,2447,2449,2451,2453,2455,2457,2459,2461,2463,2465,2467,2469,2471,2473,2475,2477,2479,2481,2483,2485,2487,2489,2491,2493,2495,2497,2499,2501,2503,2505,2507,2509,2511,2513,2515,2517,2519,2521,2523,2525,2527,2529,2531,2533,2535,2537,2539,2541,2543,2545,2547,2549,2551,2553,2555,2557,2559,2561,2563,2565,2567,2569,2571,2573,2575,2577,2579,2581,2583,2585,2587,2589,2591,2593,2595,2597,2599,2601,2603,2605,2607,2609,2611,2613,2615,2617,2619,2621,2623,2625,2627,2629,2631,2633,2635,2637,2639,2641,2643,2645,2647,2649,2651,2653,2655,2657,2659,2661,2663,2665,2667,2669,2671,2673,2675,2677,2679,2681,2683,2685,2687,2689,2691,2693,2695,2697,2699,2701,2703,2705,2707,2709,2711,2713,2715,2717,2719,2721,2723,2725,2727,2729,2731,2733,2735,2737,2739,2741,2743,2745,2747,2749,2751,2753,2755,2757,2759,2761,2763,2765,2767,2769,2771,2773,2775,2777,2779,2781,2783,2785,2787,2789,2791,2793,2795,2797,2799,2801,2803,2805,2807,2809,2811,2813,2815,2817,2819,2821,2823,2825,2827,2829,2831,2833,2835,2837,2839,2841,2843,2845,2847,2849,2851,2853,2855,2857,2859,2861,2863,2865,2867,2869,2871,2873,2875,2877,2879,2881,2883,2885,2887,2889,2891,2893,2895,2897,2899,2902,2904,2906,2908,2910,2912,2914,2916,2918,2920,2922,2924,2926,2928,2930,2932,2934,2936,2938,2940,2942,2944,2946,2948,2950,2952,2954,2956,2958,2960,2962,2964,2966,2968,2970,2972,2974,2976,2978,2980,2982,2984,2986,2988,2990,2992,2994,2996,2998,3000,3002,3004,3006,3008,3010,3012,3014,3017,3019,3021,3023,3025,3027,3029,3031,3033,3035,3037,3039,3041,3043,3045,3047,3049,3051,3053,3055,3057,3059,3061,3063,3065,3067,3069,3071,3073,3075,3077,3079,3081,3083,3085,3087,3089,3091,3093,3095,3097,3099,3101,3103,3105,3107,3109,3111,3113,3115,3117,3119,3121,3123,3125,3127,3129,3131,3133,3135,3137,3139,3141,3143,3145,3147,3149,3151,3153,3155,3157,3159,3161,3163,3165,3167,3169,3171,3173,3175,3177,3179,3181,3183,3185,3187,3189,3191,3193,3195,3197,3199,3201,3203,3205,3207,3209,3211,3213,3215,3217,3219,3221,3223,3225,3227,3229,3231,3233,3235,3237,3239,3241,3243,3245,3247,3249,3251,3253,3255,3257,3259,3261,3263,3265,3267,3269,3271,3273,3275,3277,3279,3281,3283,3285,3287,3289,3291,3293,3295,3297,3299,3301,3303,3305,3307,3309,3311,3313,3315,3317,3319,3321,3323,3325,3327,3329,3331,3333,3335,3337,3339,3341,3343,3345,3347,3349,3351,3353,3355,3357,3359,3361,3363,3365,3367,3369,3371,3373,3375,3377,3379,3381,3383,3385,3387,3389,3391,3393,3395,3397,3399,3401,3403,3405,3407,3409,3411,3413,3415,3417,3419,3421,3423,3425,3427,3429,3431,3433,3435,3437,3439,3441,3443,3445,3447,3449,3451,3453,3455,3457,3459,3461,3463,3465,3467,3469,3471,3473,3475,3477,3479,3481,3483,3485,3487,3489,3491,3493,3495,3497,3499,3501,3503,3505,3507,3509,3511,3513,3515,3517,3519,3521,3523,3525,3527,3529,3531,3533,3535,3537,3539,3541,3543,3545,3547,3549,3551,3553,3555,3557,3559,3561,3563,3565,3567,3569,3571,3573,3575,3577,3579,3581,3583,3585,3587,3589,3591,3593,3595,3597,3599,3601,3603,3605,3607,3609,3611,3613,3615,3617,3619,3621,3623,3625,3627,3629,3631,3633,3635,3637,3639,3641,3643,3645,3647,3649,3651,3653,3655,3657,3659,3661,3663,3665,3667,3669,3671,3673,3675,3677,3679,3681,3683,3685,3687,3689,3691,3693,3695,3697,3699,3701,3703,3705,3707,3709,3711,3713,3715,3717,3719,3721,3723,3725,3727,3729,3731,3733,3735,3737,3739,3741,3743,3745,3747,3749,3751,3753,3755,3757,3759,3761,3763,3765,3767,3769,3771,3773,3775,3777,3779,3781,3783,3785,3787,3789,3791,3793,3795,3797,3799,3801,3803,3805,3807,3809,3811,3813,3815,3817,3819,3821,3823,3825,3827,3829,3831,3833,3835,3837,3839,3841,3843,3845,3847,3849,3851,3853,3855,3857,3859,3861,3863,3865,3867,3869,3871,3873,3875,3877,3879,3881,3883,3885,3887,3889,3891,3893,3895,3897,3899,3901,3903,3905,3907,3909,3911,3913,3915,3917,3919,3921,3923,3925,3927,3929,3931,3933,3935,3937,3939,3941,3943,3945,3947,3949,3951,3953,3955,3957,3959,3961,3963,3965,3967,3969,3971,3973,3975,3977,3979,3981,3983,3985,3987,3989,3991,3993,3995,3997,3999,4001,4003,4005,4007,4009,4011,4013,4015,4017,4019,4021,4023,4025,4027,4029,4031,4033,4035,4037,4039,4041,4043,4045,4047,4049,4051,4053,4055,4057,4059,4061,4063,4065,4067,4069,4071,4073,4075,4077,4079,4081,4083,4085,4087,4089,4091,4093,4095,4097,4099,4101,4103,4105,4107,4109,4111,4113,4115,4117,4119,4121,4123,4125,4127,4129,4131,4133,4135,4137,4139,4141,4143,4145,4147,4149,4151,4153,4155,4157,4159,4161,4163,4165,4167,4169,4171,4173,4175,4177,4179,4181,4183,4185,4187,4189,4191,4193,4195,4197,4200,4202,4204,4206,4208,4210,4212,4214,4216,4218,4220,4222,4224,4226,4228,4230,4232,4234,4236,4238,4240,4242,4244,4246,4248,4250,4252,4254,4256,4258,4260,4262,4264,4266,4268,4270,4272,4274,4276,4278,4280,4282,4284,4286,4288,4290,4292,4294,4296,4298,4300,4302,4304,4306,4308,4310,4312,4314,4316,4318,4320,4322,4324,4326,4328,4330,4332,4334,4336,4338,4340,4342,4344,4346,4348,4350,4352,4354,4356,4358,4360,4362,4364,4366,4368,4370,4372,4374,4376,4378,4380,4382,4384,4386,4388,4390,4392,4394,4396,4398,4400,4402,4404,4406,4408,4410,4412,4414,4416,4418,4420,4422,4424,4426,4428,4430,4432,4434,4436,4438,4440,4442,4444,4446,4448,4450,4452,4454,4456,4458,4460,4462,4464,4466,4468,4470,4472,4474,4476,4478,4480,4482,4484,4486,4488,4490,4492,4494,4496,4498,4500,4502,4504,4506,4508,4510,4512,4514,4516,4518,4520,4522,4524,4526,4528,4530,4532,4534,4536,4538,4540,4542,4544,4546,4548,4550,4552,4554,4556,4558,4560,4562,4564,4566,4568,4570,4572,4574,4576,4578,4580,4582,4584,4586,4588,4590,4592,4594,4596,4598,4600,4602,4604,4606,4608,4610,4612,4614,4616,4618,4620,4622,4624,4626,4628,4630,4632,4634,4636,4638,4640,4642,4644,4646,4648,4650,4652,4654,4656,4658,4660,4662,4664,4666,4668,4670,4672,4674,4676,4678,4680,4682,4684,4686,4688,4690,4692,4694,4696,4698,4700,4702,4704,4706,4708,4710,4712,4714,4716,4718,4720,4722,4724,4726,4728,4730,4732,4734,4736,4738,4740,4742,4744,4746,4748,4750,4752,4754,4756,4758,4760,4762,4764,4766,4768,4770,4772,4774,4776,4778,4780,4782,4784,4786,4788,4790,4792,4794,4796,4798,4800,4802,4804,4806,4808,4810,4812,4814,4816,4818,4820,4822,4824,4826,4828,4830,4832,4834,4836,4838,4840,4842,4844,4846,4848,4850,4852,4854,4856,4858,4860,4862,4864,4866,4868,4870,4872,4874,4876,4878,4880,4882,4884,4886,4888,4890,4892,4894,4896,4898,4900,4902,4904,4906,4908,4910,4912,4914,4916,4918,4920,4922,4924,4926,4928,4930,4932,4934,4936,4938,4940,4942,4944,4946,4948,4950,4952,4954,4956,4958,4960,4962,4964,4966,4968,4970,4972,4974,4976,4978,4980,4982,4984,4986,4988,4990,4992,4994,4997,4999,5001,5003,5005,5007,5009,5011,5013,5015,5017,5019,5021,5023,5025,5027,5029,5031,5033,5035,5037,5039,5041,5043,5045,5047,5049,5051,5053,5055,5057,5059,5061,5063,5065,5067,5069,5071,5073,5075,5077,5079,5081,5083,5085,5087,5089,5091,5093,5095,5097,5099,5101,5103,5105,5107,5109,5111,5113,5115,5117,5119,5121,5123,5125,5127,5129,5131,5133,5135,5137,5139,5141,5143,5145,5147,5149,5151,5153,5155,5157,5159,5161,5163,5165,5167,5169,5171,5173,5175,5177,5179,5181,5183,5185,5188,5190,5192,5194,5196,5198,5200,5202,5204,5206,5208,5210,5212,5214,5216,5218,5220,5222,5224,5226,5228,5230,5232,5234,5236,5238,5240,5242,5244,5246,5248,5250,5252,5254,5256,5258,5260,5262,5264,5266,5268,5270,5272,5274,5276,5278,5280,5282,5284,5286,5288,5290,5292,5294,5296,5298,5300,5302,5304,5306,5308,5310,5312,5314,5316,5318,5320,5322,5324,5326,5328,5330,5332,5334,5336,5338,5340,5342,5344,5346,5348,5350,5352,5354,5356,5358,5360,5362,5364,5366,5368,5370,5372,5374,5376,5378,5380,5382,5384,5386,5388,5390,5392,5394,5396,5398,5400,5402,5404,5406,5408,5410,5412,5414,5416,5418,5420,5422,5424,5426,5428,5430,5432,5434,5436,5438,5440,5442,5444,5446,5448,5450,5452,5454,5456,5458,5460,5462,5464,5466,5468,5470,5472,5474,5476,5478,5480,5482,5484,5486,5488,5490,5492,5494,5496,5498,5500,5502,5504,5506,5508,5510,5512,5514,5516,5518,5520,5522,5524,5526,5528,5530,5532,5534,5536,5538,5540,5542,5544,5546,5548,5550,5552,5554,5556,5558,5560,5562,5564,5566,5568,5570,5572,5574,5576,5578,5580,5582,5584,5586,5588,5590,5592,5594,5596,5598,5600,5602,5604,5606,5608,5610,5612,5614,5616,5618,5620,5622,5624,5626,5628,5630,5632,5634,5636,5638,5640,5642,5644,5646,5648,5650,5652,5654,5656,5658,5660,5662,5664,5666,5668,5670,5672,5674,5676,5678,5680,5682,5684,5686,5688,5690,5692,5694,5696,5698,5700,5702,5704,5706,5708,5710,5712,5714,5716,5718,5720,5722,5724,5726,5728,5730,5732,5734,5736,5738,5740,5742,5744,5746,5748,5750,5752,5754,5756,5758,5760,5762,5764,5766,5768,5770,5772,5774,5776,5778,5780,5782,5784,5786,5788,5790,5792,5794,5796,5798,5800,5802,5804,5806,5808,5810,5812,5814,5816,5818,5820,5822,5824,5826,5828,5830,5832,5834,5836,5838,5840,5842,5844,5846,5848,5850,5852,5854,5856,5858,5860,5862,5864,5866,5868,5870,5872,5874,5876,5878,5880,5882,5884,5886,5888,5890,5892,5894,5896,5898,5900,5902,5904,5906,5908,5910,5912,5914,5916,5918,5920,5922,5924,5926,5928,5930,5932,5934,5936,5938,5940,5942,5944,5946,5948,5950,5952,5954,5956,5958,5960,5962,5964,5966,5968,5970,5972,5974,5976,5978,5980,5982,5984,5986,5988,5990,5992,5994,5996,5998,6000,6002,6004,6006,6008,6010,6012,6014,6016,6018,6020,6022,6024,6026,6028,6030,6032,6034,6036,6038,6040,6042,6044,6046,6048,6050,6052,6054,6056,6058,6060,6062,6064,6066,6068,6070,6072,6074,6076,6078,6080,6082,6084,6086,6088,6090,6092,6094,6096,6098,6100,6102,6104,6106,6108,6110,6112,6114,6116,6118,6120,6122,6124,6126,6128,6130,6132,6134,6136,6138,6140,6142,6144,6146,6148,6150,6152,6154,6156,6158,6160,6162,6164,6166,6168,6170,6172,6174,6176,6178,6180,6182,6184,6186,6188,6190,6192,6194,6196,6198,6200,6202,6204,6206,6208,6210,6212,6214,6216,6218,6220,6222,6224,6226,6228,6230,6232,6234,6236,6238,6240,6242,6244,6246,6248,6250,6252,6254,6256,6258,6260,6262,6264,6266,6268,6270,6272,6274,6276,6278,6280,6282,6284,6286,6288,6290,6292,6294,6296,6298,6300,6302,6304,6306,6308,6310,6312,6314,6316,6318,6320,6322,6324,6326,6328,6330,6332,6334,6336,6338,6340,6342,6344,6346,6348,6350,6352,6354,6356,6358,6360,6362,6364,6366,6368,6370,6372,6374,6376,6378,6380,6382,6384,6386,6388,6390,6392,6394,6396,6398,6400,6402,6404,6406,6408,6410,6412,6414,6416,6418,6420,6422,6424,6426,6428,6430,6432,6434,6436,6438,6440,6442,6444,6446,6448,6450,6452,6454,6456,6458,6460,6462,6464,6466,6468,6470,6472,6474,6476,6478,6480,6482,6484,6486],{"categories":76},[42],{"categories":78},[79],"Developer Productivity",{"categories":81},[42],{"categories":83},[84],"Business & SaaS",{"categories":86},[42],{"categories":88},[89],"AI Automation",{"categories":91},[92],"Product Strategy",{"categories":94},[42],{"categories":96},[79],{"categories":98},[89],{"categories":100},[101],"Software Engineering",{"categories":103},[42],{"categories":105},[84],{"categories":107},[],{"categories":109},[42],{"categories":111},[112],"Inference & Serving",{"categories":114},[42],{"categories":116},[42],{"categories":118},[89],{"categories":120},[],{"categories":122},[123],"AI News & Trends",{"categories":125},[126],"Data Science & Visualization",{"categories":128},[89],{"categories":130},[42],{"categories":132},[42],{"categories":134},[84],{"categories":136},[79],{"categories":138},[42],{"categories":140},[89],{"categories":142},[123],{"categories":144},[89],{"categories":146},[89],{"categories":148},[42],{"categories":150},[89],{"categories":152},[42],{"categories":154},[42],{"categories":156},[42],{"categories":158},[123],{"categories":160},[42],{"categories":162},[42],{"categories":164},[42],{"categories":166},[],{"categories":168},[169],"Design & Frontend",{"categories":171},[126],{"categories":173},[123],{"categories":175},[42],{"categories":177},[42],{"categories":179},[42],{"categories":181},[],{"categories":183},[42],{"categories":185},[42],{"categories":187},[89],{"categories":189},[101],{"categories":191},[42],{"categories":193},[89],{"categories":195},[42],{"categories":197},[198],"Marketing & Growth",{"categories":200},[169],{"categories":202},[42],{"categories":204},[89],{"categories":206},[42],{"categories":208},[101],{"categories":210},[],{"categories":212},[],{"categories":214},[169],{"categories":216},[42],{"categories":218},[89],{"categories":220},[79],{"categories":222},[101],{"categories":224},[89],{"categories":226},[169],{"categories":228},[92],{"categories":230},[42],{"categories":232},[101],{"categories":234},[235],"DevOps & Cloud",{"categories":237},[89],{"categories":239},[92],{"categories":241},[123],{"categories":243},[42],{"categories":245},[],{"categories":247},[42],{"categories":249},[42],{"categories":251},[],{"categories":253},[89],{"categories":255},[101],{"categories":257},[],{"categories":259},[101],{"categories":261},[42],{"categories":263},[264],"Governance & Standards",{"categories":266},[84],{"categories":268},[],{"categories":270},[],{"categories":272},[42],{"categories":274},[42],{"categories":276},[89],{"categories":278},[42],{"categories":280},[42],{"categories":282},[89],{"categories":284},[42],{"categories":286},[42],{"categories":288},[42],{"categories":290},[],{"categories":292},[101],{"categories":294},[],{"categories":296},[],{"categories":298},[42],{"categories":300},[101],{"categories":302},[],{"categories":304},[101],{"categories":306},[42],{"categories":308},[42],{"categories":310},[198],{"categories":312},[42],{"categories":314},[42],{"categories":316},[169],{"categories":318},[169],{"categories":320},[42],{"categories":322},[101],{"categories":324},[89],{"categories":326},[327],"GovTech & Public-Sector Adoption",{"categories":329},[101],{"categories":331},[42],{"categories":333},[42],{"categories":335},[42],{"categories":337},[89],{"categories":339},[89],{"categories":341},[126],{"categories":343},[42],{"categories":345},[123],{"categories":347},[89],{"categories":349},[350],"Legal AI Tools",{"categories":352},[42],{"categories":354},[89],{"categories":356},[42],{"categories":358},[198],{"categories":360},[89],{"categories":362},[92],{"categories":364},[42],{"categories":366},[101],{"categories":368},[327],{"categories":370},[],{"categories":372},[89],{"categories":374},[],{"categories":376},[84],{"categories":378},[89],{"categories":380},[89],{"categories":382},[383],"RAG & Retrieval",{"categories":385},[84],{"categories":387},[42],{"categories":389},[101],{"categories":391},[101],{"categories":393},[235],{"categories":395},[169],{"categories":397},[89],{"categories":399},[42],{"categories":401},[42],{"categories":403},[],{"categories":405},[406],"Agents & Orchestration",{"categories":408},[101],{"categories":410},[42],{"categories":412},[],{"categories":414},[89],{"categories":416},[84],{"categories":418},[],{"categories":420},[42],{"categories":422},[],{"categories":424},[42],{"categories":426},[79],{"categories":428},[101],{"categories":430},[84],{"categories":432},[42],{"categories":434},[89],{"categories":436},[42],{"categories":438},[123],{"categories":440},[42],{"categories":442},[],{"categories":444},[42],{"categories":446},[],{"categories":448},[101],{"categories":450},[42],{"categories":452},[126],{"categories":454},[],{"categories":456},[42],{"categories":458},[169],{"categories":460},[461],"Models & Frontier Labs",{"categories":463},[],{"categories":465},[169],{"categories":467},[468],"Regulation & Governance of AI",{"categories":470},[89],{"categories":472},[],{"categories":474},[42],{"categories":476},[42],{"categories":478},[89],{"categories":480},[123],{"categories":482},[84],{"categories":484},[42],{"categories":486},[],{"categories":488},[101],{"categories":490},[89],{"categories":492},[42],{"categories":494},[92],{"categories":496},[497],"AI Policy & Regulation",{"categories":499},[],{"categories":501},[42],{"categories":503},[89],{"categories":505},[92],{"categories":507},[89],{"categories":509},[42],{"categories":511},[42],{"categories":513},[42],{"categories":515},[89],{"categories":517},[],{"categories":519},[126],{"categories":521},[522],"Evals & Reliability",{"categories":524},[42],{"categories":526},[42],{"categories":528},[],{"categories":530},[79],{"categories":532},[327],{"categories":534},[497],{"categories":536},[42],{"categories":538},[84],{"categories":540},[42],{"categories":542},[89],{"categories":544},[42],{"categories":546},[89],{"categories":548},[406],{"categories":550},[42],{"categories":552},[101],{"categories":554},[42],{"categories":556},[],{"categories":558},[],{"categories":560},[42],{"categories":562},[327],{"categories":564},[42],{"categories":566},[42],{"categories":568},[42],{"categories":570},[],{"categories":572},[169],{"categories":574},[],{"categories":576},[42],{"categories":578},[],{"categories":580},[89],{"categories":582},[42],{"categories":584},[169],{"categories":586},[],{"categories":588},[42],{"categories":590},[42],{"categories":592},[126],{"categories":594},[89],{"categories":596},[42],{"categories":598},[84],{"categories":600},[89],{"categories":602},[42],{"categories":604},[42],{"categories":606},[101],{"categories":608},[169],{"categories":610},[42],{"categories":612},[89],{"categories":614},[],{"categories":616},[101],{"categories":618},[89],{"categories":620},[126],{"categories":622},[],{"categories":624},[42],{"categories":626},[123],{"categories":628},[42],{"categories":630},[],{"categories":632},[42],{"categories":634},[42],{"categories":636},[42],{"categories":638},[84,198],{"categories":640},[],{"categories":642},[42],{"categories":644},[42],{"categories":646},[89],{"categories":648},[42],{"categories":650},[],{"categories":652},[],{"categories":654},[42],{"categories":656},[169],{"categories":658},[42],{"categories":660},[],{"categories":662},[42],{"categories":664},[235],{"categories":666},[],{"categories":668},[89],{"categories":670},[123],{"categories":672},[42],{"categories":674},[42],{"categories":676},[169],{"categories":678},[],{"categories":680},[123],{"categories":682},[42],{"categories":684},[112],{"categories":686},[42],{"categories":688},[42],{"categories":690},[89],{"categories":692},[123],{"categories":694},[461],{"categories":696},[42],{"categories":698},[198],{"categories":700},[],{"categories":702},[89],{"categories":704},[84],{"categories":706},[101],{"categories":708},[42],{"categories":710},[89],{"categories":712},[],{"categories":714},[42,235],{"categories":716},[42],{"categories":718},[42],{"categories":720},[42],{"categories":722},[89],{"categories":724},[42,101],{"categories":726},[126],{"categories":728},[42],{"categories":730},[42],{"categories":732},[101],{"categories":734},[42],{"categories":736},[89],{"categories":738},[497],{"categories":740},[198],{"categories":742},[42],{"categories":744},[89],{"categories":746},[42],{"categories":748},[42],{"categories":750},[89],{"categories":752},[],{"categories":754},[89],{"categories":756},[42],{"categories":758},[42],{"categories":760},[89],{"categories":762},[42],{"categories":764},[42,84],{"categories":766},[42],{"categories":768},[84],{"categories":770},[],{"categories":772},[169],{"categories":774},[169],{"categories":776},[42],{"categories":778},[],{"categories":780},[],{"categories":782},[42],{"categories":784},[123],{"categories":786},[],{"categories":788},[79],{"categories":790},[42],{"categories":792},[101],{"categories":794},[42],{"categories":796},[797],"Generative UI & Design-to-Code",{"categories":799},[42],{"categories":801},[42],{"categories":803},[169],{"categories":805},[42],{"categories":807},[808],"Algorithmic Accountability",{"categories":810},[89],{"categories":812},[101],{"categories":814},[123],{"categories":816},[169],{"categories":818},[42],{"categories":820},[],{"categories":822},[92],{"categories":824},[42],{"categories":826},[42],{"categories":828},[42],{"categories":830},[89],{"categories":832},[833],"MLOps & Infrastructure",{"categories":835},[42],{"categories":837},[42],{"categories":839},[42],{"categories":841},[42],{"categories":843},[42],{"categories":845},[123],{"categories":847},[92],{"categories":849},[79],{"categories":851},[42],{"categories":853},[89],{"categories":855},[235],{"categories":857},[42],{"categories":859},[84],{"categories":861},[42],{"categories":863},[169],{"categories":865},[42],{"categories":867},[42],{"categories":869},[89],{"categories":871},[],{"categories":873},[],{"categories":875},[42],{"categories":877},[112],{"categories":879},[169],{"categories":881},[123],{"categories":883},[126],{"categories":885},[],{"categories":887},[42],{"categories":889},[42],{"categories":891},[84],{"categories":893},[89],{"categories":895},[42],{"categories":897},[42],{"categories":899},[42],{"categories":901},[42],{"categories":903},[123],{"categories":905},[112],{"categories":907},[42],{"categories":909},[169],{"categories":911},[42],{"categories":913},[],{"categories":915},[89],{"categories":917},[101],{"categories":919},[],{"categories":921},[42],{"categories":923},[42],{"categories":925},[89],{"categories":927},[101],{"categories":929},[42],{"categories":931},[126],{"categories":933},[],{"categories":935},[42],{"categories":937},[],{"categories":939},[42],{"categories":941},[],{"categories":943},[92],{"categories":945},[84],{"categories":947},[89],{"categories":949},[89],{"categories":951},[],{"categories":953},[79],{"categories":955},[42],{"categories":957},[42],{"categories":959},[84],{"categories":961},[123],{"categories":963},[79],{"categories":965},[],{"categories":967},[42],{"categories":969},[],{"categories":971},[],{"categories":973},[123],{"categories":975},[123],{"categories":977},[],{"categories":979},[406],{"categories":981},[42],{"categories":983},[169],{"categories":985},[101],{"categories":987},[],{"categories":989},[350],{"categories":991},[89],{"categories":993},[84],{"categories":995},[],{"categories":997},[],{"categories":999},[79],{"categories":1001},[126],{"categories":1003},[],{"categories":1005},[198],{"categories":1007},[89],{"categories":1009},[84],{"categories":1011},[89],{"categories":1013},[84],{"categories":1015},[42],{"categories":1017},[101],{"categories":1019},[],{"categories":1021},[112],{"categories":1023},[92],{"categories":1025},[42],{"categories":1027},[169],{"categories":1029},[101],{"categories":1031},[84],{"categories":1033},[42],{"categories":1035},[89],{"categories":1037},[84],{"categories":1039},[42],{"categories":1041},[42],{"categories":1043},[42],{"categories":1045},[42],{"categories":1047},[42],{"categories":1049},[],{"categories":1051},[],{"categories":1053},[101],{"categories":1055},[126],{"categories":1057},[92],{"categories":1059},[42],{"categories":1061},[89],{"categories":1063},[101],{"categories":1065},[42],{"categories":1067},[],{"categories":1069},[123],{"categories":1071},[92],{"categories":1073},[101],{"categories":1075},[42],{"categories":1077},[522],{"categories":1079},[235],{"categories":1081},[],{"categories":1083},[89],{"categories":1085},[42],{"categories":1087},[],{"categories":1089},[79],{"categories":1091},[],{"categories":1093},[42],{"categories":1095},[42],{"categories":1097},[42],{"categories":1099},[169],{"categories":1101},[198],{"categories":1103},[42],{"categories":1105},[101],{"categories":1107},[42],{"categories":1109},[89],{"categories":1111},[],{"categories":1113},[101],{"categories":1115},[42],{"categories":1117},[79],{"categories":1119},[],{"categories":1121},[84],{"categories":1123},[42],{"categories":1125},[123],{"categories":1127},[42,235],{"categories":1129},[42],{"categories":1131},[1132],"Design Systems for AI",{"categories":1134},[42],{"categories":1136},[42],{"categories":1138},[123],{"categories":1140},[42],{"categories":1142},[42],{"categories":1144},[42],{"categories":1146},[84],{"categories":1148},[42],{"categories":1150},[42],{"categories":1152},[42],{"categories":1154},[],{"categories":1156},[42],{"categories":1158},[42],{"categories":1160},[84],{"categories":1162},[42],{"categories":1164},[],{"categories":1166},[89],{"categories":1168},[101],{"categories":1170},[123],{"categories":1172},[101],{"categories":1174},[42],{"categories":1176},[169],{"categories":1178},[123],{"categories":1180},[126],{"categories":1182},[42],{"categories":1184},[42],{"categories":1186},[89],{"categories":1188},[79],{"categories":1190},[497],{"categories":1192},[42],{"categories":1194},[89],{"categories":1196},[42],{"categories":1198},[101],{"categories":1200},[101],{"categories":1202},[],{"categories":1204},[],{"categories":1206},[89],{"categories":1208},[92],{"categories":1210},[],{"categories":1212},[84],{"categories":1214},[42],{"categories":1216},[],{"categories":1218},[169],{"categories":1220},[89],{"categories":1222},[101],{"categories":1224},[169],{"categories":1226},[42],{"categories":1228},[42],{"categories":1230},[169],{"categories":1232},[],{"categories":1234},[],{"categories":1236},[123],{"categories":1238},[89],{"categories":1240},[89],{"categories":1242},[42],{"categories":1244},[42],{"categories":1246},[42],{"categories":1248},[42],{"categories":1250},[84],{"categories":1252},[42],{"categories":1254},[42],{"categories":1256},[],{"categories":1258},[101],{"categories":1260},[101],{"categories":1262},[42],{"categories":1264},[101],{"categories":1266},[84],{"categories":1268},[],{"categories":1270},[42],{"categories":1272},[42],{"categories":1274},[42],{"categories":1276},[42],{"categories":1278},[42],{"categories":1280},[89],{"categories":1282},[79],{"categories":1284},[84],{"categories":1286},[42],{"categories":1288},[89],{"categories":1290},[123],{"categories":1292},[89],{"categories":1294},[112],{"categories":1296},[198],{"categories":1298},[42],{"categories":1300},[89],{"categories":1302},[42],{"categories":1304},[42],{"categories":1306},[],{"categories":1308},[169],{"categories":1310},[],{"categories":1312},[42],{"categories":1314},[42],{"categories":1316},[],{"categories":1318},[101],{"categories":1320},[84],{"categories":1322},[1323],"Visual & Generative Media",{"categories":1325},[89],{"categories":1327},[],{"categories":1329},[42],{"categories":1331},[42],{"categories":1333},[101],{"categories":1335},[235],{"categories":1337},[126],{"categories":1339},[497],{"categories":1341},[101],{"categories":1343},[198],{"categories":1345},[42],{"categories":1347},[169],{"categories":1349},[42],{"categories":1351},[42],{"categories":1353},[101],{"categories":1355},[89],{"categories":1357},[42],{"categories":1359},[],{"categories":1361},[],{"categories":1363},[89],{"categories":1365},[101],{"categories":1367},[79],{"categories":1369},[89],{"categories":1371},[461],{"categories":1373},[42],{"categories":1375},[92],{"categories":1377},[42],{"categories":1379},[84],{"categories":1381},[],{"categories":1383},[42],{"categories":1385},[92],{"categories":1387},[42],{"categories":1389},[42],{"categories":1391},[42],{"categories":1393},[92],{"categories":1395},[42],{"categories":1397},[42],{"categories":1399},[198],{"categories":1401},[42],{"categories":1403},[406],{"categories":1405},[42],{"categories":1407},[89],{"categories":1409},[42],{"categories":1411},[42],{"categories":1413},[42],{"categories":1415},[42],{"categories":1417},[169],{"categories":1419},[89],{"categories":1421},[],{"categories":1423},[89],{"categories":1425},[],{"categories":1427},[235],{"categories":1429},[101],{"categories":1431},[],{"categories":1433},[461],{"categories":1435},[42],{"categories":1437},[89],{"categories":1439},[42],{"categories":1441},[169,42],{"categories":1443},[79],{"categories":1445},[42],{"categories":1447},[169],{"categories":1449},[],{"categories":1451},[42],{"categories":1453},[79],{"categories":1455},[1456],"Medical Imaging & Radiology",{"categories":1458},[42],{"categories":1460},[169],{"categories":1462},[89],{"categories":1464},[101],{"categories":1466},[],{"categories":1468},[42],{"categories":1470},[42],{"categories":1472},[42],{"categories":1474},[],{"categories":1476},[],{"categories":1478},[42],{"categories":1480},[406],{"categories":1482},[42],{"categories":1484},[79],{"categories":1486},[42],{"categories":1488},[42],{"categories":1490},[],{"categories":1492},[89],{"categories":1494},[42],{"categories":1496},[92],{"categories":1498},[101],{"categories":1500},[42],{"categories":1502},[406],{"categories":1504},[42],{"categories":1506},[89],{"categories":1508},[42],{"categories":1510},[42],{"categories":1512},[42],{"categories":1514},[169],{"categories":1516},[89],{"categories":1518},[235],{"categories":1520},[169],{"categories":1522},[84],{"categories":1524},[89],{"categories":1526},[123],{"categories":1528},[42],{"categories":1530},[42],{"categories":1532},[92],{"categories":1534},[42],{"categories":1536},[42],{"categories":1538},[42],{"categories":1540},[89],{"categories":1542},[101],{"categories":1544},[101],{"categories":1546},[42],{"categories":1548},[92],{"categories":1550},[],{"categories":1552},[123],{"categories":1554},[],{"categories":1556},[92],{"categories":1558},[89],{"categories":1560},[42],{"categories":1562},[89],{"categories":1564},[1132],{"categories":1566},[1132],{"categories":1568},[169],{"categories":1570},[42],{"categories":1572},[42],{"categories":1574},[89],{"categories":1576},[101],{"categories":1578},[169],{"categories":1580},[89],{"categories":1582},[123],{"categories":1584},[],{"categories":1586},[42],{"categories":1588},[],{"categories":1590},[42],{"categories":1592},[42],{"categories":1594},[42],{"categories":1596},[42],{"categories":1598},[89],{"categories":1600},[1601],"Contract Review & E-Discovery",{"categories":1603},[42],{"categories":1605},[169],{"categories":1607},[42],{"categories":1609},[79],{"categories":1611},[42],{"categories":1613},[123],{"categories":1615},[42],{"categories":1617},[42],{"categories":1619},[198],{"categories":1621},[101],{"categories":1623},[42],{"categories":1625},[42],{"categories":1627},[89],{"categories":1629},[89],{"categories":1631},[808],{"categories":1633},[42],{"categories":1635},[42],{"categories":1637},[89],{"categories":1639},[89],{"categories":1641},[42],{"categories":1643},[42],{"categories":1645},[89],{"categories":1647},[42],{"categories":1649},[42],{"categories":1651},[406],{"categories":1653},[383],{"categories":1655},[42],{"categories":1657},[89],{"categories":1659},[42],{"categories":1661},[1662],"Law-Firm Practice & Adoption",{"categories":1664},[42],{"categories":1666},[89],{"categories":1668},[169],{"categories":1670},[42],{"categories":1672},[42],{"categories":1674},[42],{"categories":1676},[],{"categories":1678},[],{"categories":1680},[101],{"categories":1682},[42],{"categories":1684},[],{"categories":1686},[89],{"categories":1688},[79],{"categories":1690},[235],{"categories":1692},[42],{"categories":1694},[],{"categories":1696},[79],{"categories":1698},[84],{"categories":1700},[42],{"categories":1702},[198],{"categories":1704},[],{"categories":1706},[84],{"categories":1708},[84],{"categories":1710},[],{"categories":1712},[42],{"categories":1714},[92],{"categories":1716},[42],{"categories":1718},[101],{"categories":1720},[],{"categories":1722},[],{"categories":1724},[],{"categories":1726},[],{"categories":1728},[42],{"categories":1730},[89],{"categories":1732},[235],{"categories":1734},[42],{"categories":1736},[79],{"categories":1738},[101],{"categories":1740},[42],{"categories":1742},[42],{"categories":1744},[101],{"categories":1746},[92],{"categories":1748},[42],{"categories":1750},[42],{"categories":1752},[42],{"categories":1754},[833],{"categories":1756},[42],{"categories":1758},[42],{"categories":1760},[198],{"categories":1762},[101],{"categories":1764},[84],{"categories":1766},[42],{"categories":1768},[42],{"categories":1770},[169],{"categories":1772},[42],{"categories":1774},[42],{"categories":1776},[42],{"categories":1778},[42],{"categories":1780},[89],{"categories":1782},[42,79],{"categories":1784},[406],{"categories":1786},[42],{"categories":1788},[42],{"categories":1790},[101],{"categories":1792},[101],{"categories":1794},[169],{"categories":1796},[89],{"categories":1798},[101],{"categories":1800},[42],{"categories":1802},[42],{"categories":1804},[],{"categories":1806},[],{"categories":1808},[42],{"categories":1810},[89],{"categories":1812},[],{"categories":1814},[42],{"categories":1816},[101],{"categories":1818},[126],{"categories":1820},[123],{"categories":1822},[169],{"categories":1824},[42],{"categories":1826},[42],{"categories":1828},[101],{"categories":1830},[],{"categories":1832},[89],{"categories":1834},[42],{"categories":1836},[42],{"categories":1838},[42],{"categories":1840},[42],{"categories":1842},[],{"categories":1844},[89],{"categories":1846},[42],{"categories":1848},[42],{"categories":1850},[],{"categories":1852},[89],{"categories":1854},[42],{"categories":1856},[42],{"categories":1858},[84],{"categories":1860},[42],{"categories":1862},[42],{"categories":1864},[],{"categories":1866},[79],{"categories":1868},[42],{"categories":1870},[42],{"categories":1872},[169],{"categories":1874},[101],{"categories":1876},[42],{"categories":1878},[79],{"categories":1880},[42],{"categories":1882},[101],{"categories":1884},[198],{"categories":1886},[89],{"categories":1888},[89],{"categories":1890},[42],{"categories":1892},[42],{"categories":1894},[42,169],{"categories":1896},[42],{"categories":1898},[89],{"categories":1900},[123],{"categories":1902},[42],{"categories":1904},[123],{"categories":1906},[89],{"categories":1908},[169],{"categories":1910},[42],{"categories":1912},[],{"categories":1914},[101],{"categories":1916},[235],{"categories":1918},[169],{"categories":1920},[101],{"categories":1922},[42],{"categories":1924},[92],{"categories":1926},[42],{"categories":1928},[42],{"categories":1930},[89],{"categories":1932},[],{"categories":1934},[],{"categories":1936},[42],{"categories":1938},[],{"categories":1940},[],{"categories":1942},[92],{"categories":1944},[101],{"categories":1946},[42],{"categories":1948},[89],{"categories":1950},[89],{"categories":1952},[84],{"categories":1954},[89],{"categories":1956},[235],{"categories":1958},[42],{"categories":1960},[42],{"categories":1962},[42],{"categories":1964},[112],{"categories":1966},[42],{"categories":1968},[42],{"categories":1970},[101],{"categories":1972},[89],{"categories":1974},[42],{"categories":1976},[42],{"categories":1978},[350],{"categories":1980},[808],{"categories":1982},[],{"categories":1984},[169],{"categories":1986},[1662],{"categories":1988},[101],{"categories":1990},[],{"categories":1992},[],{"categories":1994},[89],{"categories":1996},[],{"categories":1998},[],{"categories":2000},[42],{"categories":2002},[198],{"categories":2004},[42],{"categories":2006},[198],{"categories":2008},[89],{"categories":2010},[42],{"categories":2012},[101],{"categories":2014},[92],{"categories":2016},[],{"categories":2018},[42],{"categories":2020},[42],{"categories":2022},[101],{"categories":2024},[1601],{"categories":2026},[169],{"categories":2028},[169],{"categories":2030},[42],{"categories":2032},[89],{"categories":2034},[79],{"categories":2036},[42],{"categories":2038},[42],{"categories":2040},[42],{"categories":2042},[169],{"categories":2044},[169],{"categories":2046},[89],{"categories":2048},[89],{"categories":2050},[89],{"categories":2052},[42],{"categories":2054},[42],{"categories":2056},[],{"categories":2058},[42],{"categories":2060},[],{"categories":2062},[2063],"Interaction & Product Design",{"categories":2065},[42],{"categories":2067},[89],{"categories":2069},[101],{"categories":2071},[264],{"categories":2073},[123],{"categories":2075},[101],{"categories":2077},[42],{"categories":2079},[42],{"categories":2081},[101],{"categories":2083},[79],{"categories":2085},[89],{"categories":2087},[42],{"categories":2089},[],{"categories":2091},[89],{"categories":2093},[89],{"categories":2095},[],{"categories":2097},[101],{"categories":2099},[42],{"categories":2101},[79],{"categories":2103},[2063],{"categories":2105},[42],{"categories":2107},[79],{"categories":2109},[79],{"categories":2111},[],{"categories":2113},[89],{"categories":2115},[101],{"categories":2117},[],{"categories":2119},[89],{"categories":2121},[123],{"categories":2123},[42],{"categories":2125},[89],{"categories":2127},[42],{"categories":2129},[89],{"categories":2131},[42],{"categories":2133},[42],{"categories":2135},[123],{"categories":2137},[126],{"categories":2139},[42],{"categories":2141},[92],{"categories":2143},[101],{"categories":2145},[2146],"Coding Agents & Dev Productivity",{"categories":2148},[123],{"categories":2150},[169],{"categories":2152},[42],{"categories":2154},[42],{"categories":2156},[],{"categories":2158},[42],{"categories":2160},[808],{"categories":2162},[],{"categories":2164},[42],{"categories":2166},[235],{"categories":2168},[42],{"categories":2170},[123],{"categories":2172},[],{"categories":2174},[],{"categories":2176},[42],{"categories":2178},[],{"categories":2180},[89],{"categories":2182},[42],{"categories":2184},[],{"categories":2186},[101],{"categories":2188},[101],{"categories":2190},[42],{"categories":2192},[126],{"categories":2194},[],{"categories":2196},[42],{"categories":2198},[42],{"categories":2200},[42],{"categories":2202},[126],{"categories":2204},[101],{"categories":2206},[89],{"categories":2208},[],{"categories":2210},[],{"categories":2212},[42],{"categories":2214},[42],{"categories":2216},[89],{"categories":2218},[89],{"categories":2220},[327],{"categories":2222},[101],{"categories":2224},[101],{"categories":2226},[89],{"categories":2228},[123],{"categories":2230},[123],{"categories":2232},[89],{"categories":2234},[89],{"categories":2236},[42],{"categories":2238},[79],{"categories":2240},[2063],{"categories":2242},[42,235],{"categories":2244},[126],{"categories":2246},[],{"categories":2248},[169],{"categories":2250},[101],{"categories":2252},[79],{"categories":2254},[42],{"categories":2256},[89],{"categories":2258},[2259],"The Designer's Role & Craft",{"categories":2261},[169],{"categories":2263},[],{"categories":2265},[89],{"categories":2267},[42],{"categories":2269},[89],{"categories":2271},[89],{"categories":2273},[42],{"categories":2275},[198],{"categories":2277},[42],{"categories":2279},[101],{"categories":2281},[42],{"categories":2283},[169],{"categories":2285},[42],{"categories":2287},[],{"categories":2289},[89],{"categories":2291},[169],{"categories":2293},[42],{"categories":2295},[42],{"categories":2297},[42],{"categories":2299},[2300],"AI UX Patterns",{"categories":2302},[89],{"categories":2304},[89],{"categories":2306},[89],{"categories":2308},[89],{"categories":2310},[198],{"categories":2312},[126],{"categories":2314},[42],{"categories":2316},[89],{"categories":2318},[42],{"categories":2320},[1132],{"categories":2322},[],{"categories":2324},[198],{"categories":2326},[89],{"categories":2328},[123],{"categories":2330},[101],{"categories":2332},[42],{"categories":2334},[89],{"categories":2336},[],{"categories":2338},[],{"categories":2340},[42],{"categories":2342},[89],{"categories":2344},[42],{"categories":2346},[89],{"categories":2348},[327],{"categories":2350},[169],{"categories":2352},[42],{"categories":2354},[123],{"categories":2356},[101],{"categories":2358},[42],{"categories":2360},[89],{"categories":2362},[89],{"categories":2364},[],{"categories":2366},[42],{"categories":2368},[],{"categories":2370},[],{"categories":2372},[42],{"categories":2374},[42],{"categories":2376},[42],{"categories":2378},[89],{"categories":2380},[101],{"categories":2382},[],{"categories":2384},[],{"categories":2386},[126],{"categories":2388},[112],{"categories":2390},[42],{"categories":2392},[42],{"categories":2394},[126],{"categories":2396},[42],{"categories":2398},[123],{"categories":2400},[42],{"categories":2402},[42],{"categories":2404},[42],{"categories":2406},[89],{"categories":2408},[42],{"categories":2410},[89],{"categories":2412},[42],{"categories":2414},[42],{"categories":2416},[89],{"categories":2418},[],{"categories":2420},[],{"categories":2422},[42],{"categories":2424},[235],{"categories":2426},[42],{"categories":2428},[],{"categories":2430},[],{"categories":2432},[169],{"categories":2434},[833],{"categories":2436},[89],{"categories":2438},[79],{"categories":2440},[2259],{"categories":2442},[],{"categories":2444},[],{"categories":2446},[42],{"categories":2448},[],{"categories":2450},[],{"categories":2452},[101],{"categories":2454},[123],{"categories":2456},[198],{"categories":2458},[84],{"categories":2460},[42],{"categories":2462},[42],{"categories":2464},[84],{"categories":2466},[],{"categories":2468},[169],{"categories":2470},[92],{"categories":2472},[42],{"categories":2474},[42],{"categories":2476},[89],{"categories":2478},[84],{"categories":2480},[42],{"categories":2482},[42],{"categories":2484},[79],{"categories":2486},[42],{"categories":2488},[],{"categories":2490},[79],{"categories":2492},[42],{"categories":2494},[198],{"categories":2496},[89],{"categories":2498},[123],{"categories":2500},[42],{"categories":2502},[101],{"categories":2504},[42],{"categories":2506},[42],{"categories":2508},[84],{"categories":2510},[42],{"categories":2512},[42],{"categories":2514},[42],{"categories":2516},[89],{"categories":2518},[],{"categories":2520},[42],{"categories":2522},[101],{"categories":2524},[79],{"categories":2526},[42],{"categories":2528},[42],{"categories":2530},[42],{"categories":2532},[],{"categories":2534},[42],{"categories":2536},[406],{"categories":2538},[89],{"categories":2540},[84],{"categories":2542},[123],{"categories":2544},[42],{"categories":2546},[42],{"categories":2548},[],{"categories":2550},[84],{"categories":2552},[84],{"categories":2554},[42],{"categories":2556},[42],{"categories":2558},[92],{"categories":2560},[42],{"categories":2562},[42],{"categories":2564},[42],{"categories":2566},[42],{"categories":2568},[101],{"categories":2570},[101],{"categories":2572},[42],{"categories":2574},[],{"categories":2576},[101],{"categories":2578},[42],{"categories":2580},[101],{"categories":2582},[89],{"categories":2584},[497],{"categories":2586},[],{"categories":2588},[],{"categories":2590},[42],{"categories":2592},[123],{"categories":2594},[],{"categories":2596},[235],{"categories":2598},[42],{"categories":2600},[42],{"categories":2602},[169],{"categories":2604},[797],{"categories":2606},[],{"categories":2608},[42],{"categories":2610},[42],{"categories":2612},[42],{"categories":2614},[101],{"categories":2616},[42],{"categories":2618},[42],{"categories":2620},[42,235],{"categories":2622},[42],{"categories":2624},[42],{"categories":2626},[169],{"categories":2628},[89],{"categories":2630},[],{"categories":2632},[89],{"categories":2634},[89],{"categories":2636},[42],{"categories":2638},[42],{"categories":2640},[42],{"categories":2642},[42],{"categories":2644},[126],{"categories":2646},[42],{"categories":2648},[2300],{"categories":2650},[79],{"categories":2652},[126],{"categories":2654},[79],{"categories":2656},[101],{"categories":2658},[169],{"categories":2660},[89],{"categories":2662},[42],{"categories":2664},[],{"categories":2666},[84],{"categories":2668},[42],{"categories":2670},[42],{"categories":2672},[123],{"categories":2674},[42],{"categories":2676},[42],{"categories":2678},[89],{"categories":2680},[42],{"categories":2682},[42],{"categories":2684},[42],{"categories":2686},[84],{"categories":2688},[],{"categories":2690},[235],{"categories":2692},[42],{"categories":2694},[327],{"categories":2696},[169],{"categories":2698},[169],{"categories":2700},[101],{"categories":2702},[89],{"categories":2704},[42],{"categories":2706},[84],{"categories":2708},[123],{"categories":2710},[42],{"categories":2712},[42],{"categories":2714},[169],{"categories":2716},[89],{"categories":2718},[89],{"categories":2720},[42],{"categories":2722},[42],{"categories":2724},[461],{"categories":2726},[],{"categories":2728},[42],{"categories":2730},[42],{"categories":2732},[42],{"categories":2734},[],{"categories":2736},[],{"categories":2738},[42],{"categories":2740},[42],{"categories":2742},[89],{"categories":2744},[42],{"categories":2746},[42],{"categories":2748},[42],{"categories":2750},[101],{"categories":2752},[42],{"categories":2754},[42],{"categories":2756},[89],{"categories":2758},[42],{"categories":2760},[42],{"categories":2762},[42],{"categories":2764},[42],{"categories":2766},[42],{"categories":2768},[],{"categories":2770},[101],{"categories":2772},[126],{"categories":2774},[42],{"categories":2776},[89],{"categories":2778},[42],{"categories":2780},[],{"categories":2782},[],{"categories":2784},[42],{"categories":2786},[42],{"categories":2788},[42],{"categories":2790},[123],{"categories":2792},[126],{"categories":2794},[],{"categories":2796},[42],{"categories":2798},[169],{"categories":2800},[42],{"categories":2802},[235],{"categories":2804},[1662],{"categories":2806},[123],{"categories":2808},[101],{"categories":2810},[101],{"categories":2812},[101],{"categories":2814},[42],{"categories":2816},[42],{"categories":2818},[123],{"categories":2820},[123],{"categories":2822},[235],{"categories":2824},[89],{"categories":2826},[],{"categories":2828},[123],{"categories":2830},[42],{"categories":2832},[79],{"categories":2834},[101],{"categories":2836},[42],{"categories":2838},[123],{"categories":2840},[],{"categories":2842},[42],{"categories":2844},[101],{"categories":2846},[101],{"categories":2848},[126],{"categories":2850},[42],{"categories":2852},[123],{"categories":2854},[42],{"categories":2856},[101],{"categories":2858},[89],{"categories":2860},[123],{"categories":2862},[89],{"categories":2864},[235],{"categories":2866},[89],{"categories":2868},[42],{"categories":2870},[42],{"categories":2872},[42],{"categories":2874},[42],{"categories":2876},[101],{"categories":2878},[42],{"categories":2880},[],{"categories":2882},[89],{"categories":2884},[84],{"categories":2886},[101],{"categories":2888},[],{"categories":2890},[],{"categories":2892},[42],{"categories":2894},[89],{"categories":2896},[42],{"categories":2898},[42],{"categories":2900},[2901],"Frameworks & Tooling",{"categories":2903},[42],{"categories":2905},[42],{"categories":2907},[101],{"categories":2909},[42],{"categories":2911},[42],{"categories":2913},[],{"categories":2915},[126],{"categories":2917},[126],{"categories":2919},[79],{"categories":2921},[42],{"categories":2923},[89],{"categories":2925},[42],{"categories":2927},[169],{"categories":2929},[],{"categories":2931},[1662],{"categories":2933},[42],{"categories":2935},[101],{"categories":2937},[42],{"categories":2939},[235],{"categories":2941},[235],{"categories":2943},[],{"categories":2945},[89],{"categories":2947},[42],{"categories":2949},[123],{"categories":2951},[123],{"categories":2953},[42],{"categories":2955},[89],{"categories":2957},[],{"categories":2959},[169],{"categories":2961},[42],{"categories":2963},[42],{"categories":2965},[],{"categories":2967},[42],{"categories":2969},[89],{"categories":2971},[42],{"categories":2973},[42],{"categories":2975},[],{"categories":2977},[101],{"categories":2979},[42],{"categories":2981},[101],{"categories":2983},[235],{"categories":2985},[42],{"categories":2987},[42],{"categories":2989},[101],{"categories":2991},[84],{"categories":2993},[42],{"categories":2995},[1662],{"categories":2997},[],{"categories":2999},[89],{"categories":3001},[79],{"categories":3003},[42],{"categories":3005},[79],{"categories":3007},[42],{"categories":3009},[],{"categories":3011},[89],{"categories":3013},[42],{"categories":3015},[3016],"AI Design Tooling",{"categories":3018},[169],{"categories":3020},[42],{"categories":3022},[42],{"categories":3024},[101],{"categories":3026},[169],{"categories":3028},[42],{"categories":3030},[101],{"categories":3032},[123],{"categories":3034},[92],{"categories":3036},[101],{"categories":3038},[42],{"categories":3040},[42],{"categories":3042},[89],{"categories":3044},[42],{"categories":3046},[],{"categories":3048},[42],{"categories":3050},[42],{"categories":3052},[89],{"categories":3054},[42],{"categories":3056},[42],{"categories":3058},[42],{"categories":3060},[89],{"categories":3062},[],{"categories":3064},[89],{"categories":3066},[2901],{"categories":3068},[42],{"categories":3070},[42],{"categories":3072},[89],{"categories":3074},[89],{"categories":3076},[101],{"categories":3078},[101],{"categories":3080},[],{"categories":3082},[101],{"categories":3084},[42],{"categories":3086},[42],{"categories":3088},[89],{"categories":3090},[84],{"categories":3092},[42],{"categories":3094},[],{"categories":3096},[42],{"categories":3098},[42],{"categories":3100},[2063],{"categories":3102},[],{"categories":3104},[42],{"categories":3106},[42],{"categories":3108},[42],{"categories":3110},[42],{"categories":3112},[169],{"categories":3114},[42],{"categories":3116},[],{"categories":3118},[42],{"categories":3120},[42],{"categories":3122},[42],{"categories":3124},[198],{"categories":3126},[123],{"categories":3128},[42],{"categories":3130},[42],{"categories":3132},[1662],{"categories":3134},[79],{"categories":3136},[42],{"categories":3138},[42],{"categories":3140},[126],{"categories":3142},[42],{"categories":3144},[42],{"categories":3146},[123],{"categories":3148},[89],{"categories":3150},[],{"categories":3152},[42],{"categories":3154},[42],{"categories":3156},[169],{"categories":3158},[42],{"categories":3160},[198],{"categories":3162},[42],{"categories":3164},[89],{"categories":3166},[],{"categories":3168},[],{"categories":3170},[],{"categories":3172},[79],{"categories":3174},[123],{"categories":3176},[89],{"categories":3178},[42],{"categories":3180},[42],{"categories":3182},[42],{"categories":3184},[42],{"categories":3186},[350],{"categories":3188},[169],{"categories":3190},[89],{"categories":3192},[42],{"categories":3194},[],{"categories":3196},[89],{"categories":3198},[89],{"categories":3200},[],{"categories":3202},[42],{"categories":3204},[89],{"categories":3206},[42],{"categories":3208},[],{"categories":3210},[42],{"categories":3212},[42],{"categories":3214},[123],{"categories":3216},[169],{"categories":3218},[89],{"categories":3220},[169],{"categories":3222},[89],{"categories":3224},[42],{"categories":3226},[84],{"categories":3228},[],{"categories":3230},[],{"categories":3232},[42],{"categories":3234},[42],{"categories":3236},[79],{"categories":3238},[89],{"categories":3240},[123],{"categories":3242},[],{"categories":3244},[169],{"categories":3246},[],{"categories":3248},[101],{"categories":3250},[42],{"categories":3252},[101],{"categories":3254},[169],{"categories":3256},[101],{"categories":3258},[42],{"categories":3260},[],{"categories":3262},[42],{"categories":3264},[42],{"categories":3266},[],{"categories":3268},[42],{"categories":3270},[198],{"categories":3272},[42],{"categories":3274},[235],{"categories":3276},[101],{"categories":3278},[42],{"categories":3280},[],{"categories":3282},[89],{"categories":3284},[42],{"categories":3286},[79],{"categories":3288},[461],{"categories":3290},[42],{"categories":3292},[89],{"categories":3294},[42],{"categories":3296},[89],{"categories":3298},[42],{"categories":3300},[42],{"categories":3302},[42],{"categories":3304},[],{"categories":3306},[42],{"categories":3308},[79],{"categories":3310},[42],{"categories":3312},[84],{"categories":3314},[101],{"categories":3316},[169],{"categories":3318},[],{"categories":3320},[42],{"categories":3322},[],{"categories":3324},[],{"categories":3326},[89],{"categories":3328},[42],{"categories":3330},[101],{"categories":3332},[169],{"categories":3334},[123],{"categories":3336},[42],{"categories":3338},[123],{"categories":3340},[89],{"categories":3342},[169],{"categories":3344},[42],{"categories":3346},[],{"categories":3348},[42],{"categories":3350},[112],{"categories":3352},[89],{"categories":3354},[169],{"categories":3356},[123],{"categories":3358},[84],{"categories":3360},[101],{"categories":3362},[42],{"categories":3364},[42],{"categories":3366},[123],{"categories":3368},[198],{"categories":3370},[],{"categories":3372},[],{"categories":3374},[126],{"categories":3376},[406],{"categories":3378},[42],{"categories":3380},[89],{"categories":3382},[42,101],{"categories":3384},[123],{"categories":3386},[42],{"categories":3388},[42],{"categories":3390},[42],{"categories":3392},[42],{"categories":3394},[89],{"categories":3396},[42],{"categories":3398},[89],{"categories":3400},[42],{"categories":3402},[42],{"categories":3404},[42],{"categories":3406},[],{"categories":3408},[42],{"categories":3410},[1132],{"categories":3412},[101],{"categories":3414},[169],{"categories":3416},[42],{"categories":3418},[42],{"categories":3420},[42],{"categories":3422},[126],{"categories":3424},[89],{"categories":3426},[198],{"categories":3428},[235],{"categories":3430},[],{"categories":3432},[42],{"categories":3434},[84],{"categories":3436},[89],{"categories":3438},[79],{"categories":3440},[89],{"categories":3442},[42],{"categories":3444},[89],{"categories":3446},[89],{"categories":3448},[92],{"categories":3450},[101],{"categories":3452},[42],{"categories":3454},[42],{"categories":3456},[],{"categories":3458},[],{"categories":3460},[],{"categories":3462},[235],{"categories":3464},[42],{"categories":3466},[123],{"categories":3468},[42],{"categories":3470},[42],{"categories":3472},[42],{"categories":3474},[42],{"categories":3476},[],{"categories":3478},[42],{"categories":3480},[126],{"categories":3482},[84],{"categories":3484},[89],{"categories":3486},[42],{"categories":3488},[],{"categories":3490},[42],{"categories":3492},[89],{"categories":3494},[42],{"categories":3496},[235],{"categories":3498},[],{"categories":3500},[169],{"categories":3502},[169],{"categories":3504},[],{"categories":3506},[101],{"categories":3508},[42],{"categories":3510},[169],{"categories":3512},[42],{"categories":3514},[84],{"categories":3516},[89],{"categories":3518},[42],{"categories":3520},[],{"categories":3522},[123],{"categories":3524},[42],{"categories":3526},[42],{"categories":3528},[42],{"categories":3530},[169],{"categories":3532},[89],{"categories":3534},[123],{"categories":3536},[],{"categories":3538},[89],{"categories":3540},[84],{"categories":3542},[89],{"categories":3544},[169],{"categories":3546},[42],{"categories":3548},[42],{"categories":3550},[42],{"categories":3552},[406],{"categories":3554},[42],{"categories":3556},[],{"categories":3558},[42],{"categories":3560},[42],{"categories":3562},[235],{"categories":3564},[123],{"categories":3566},[126],{"categories":3568},[497],{"categories":3570},[126],{"categories":3572},[42],{"categories":3574},[],{"categories":3576},[],{"categories":3578},[],{"categories":3580},[89],{"categories":3582},[89],{"categories":3584},[101],{"categories":3586},[42],{"categories":3588},[383],{"categories":3590},[101],{"categories":3592},[42],{"categories":3594},[42],{"categories":3596},[42],{"categories":3598},[42],{"categories":3600},[89],{"categories":3602},[],{"categories":3604},[],{"categories":3606},[42],{"categories":3608},[],{"categories":3610},[42],{"categories":3612},[89],{"categories":3614},[169],{"categories":3616},[42],{"categories":3618},[42],{"categories":3620},[],{"categories":3622},[89],{"categories":3624},[92],{"categories":3626},[42],{"categories":3628},[169],{"categories":3630},[42],{"categories":3632},[89],{"categories":3634},[84],{"categories":3636},[42],{"categories":3638},[198],{"categories":3640},[89],{"categories":3642},[42],{"categories":3644},[42],{"categories":3646},[797],{"categories":3648},[42],{"categories":3650},[89],{"categories":3652},[42],{"categories":3654},[101],{"categories":3656},[42],{"categories":3658},[461],{"categories":3660},[169],{"categories":3662},[],{"categories":3664},[42],{"categories":3666},[123],{"categories":3668},[406],{"categories":3670},[89],{"categories":3672},[42],{"categories":3674},[],{"categories":3676},[123],{"categories":3678},[327],{"categories":3680},[89],{"categories":3682},[89],{"categories":3684},[89],{"categories":3686},[42],{"categories":3688},[42],{"categories":3690},[89],{"categories":3692},[],{"categories":3694},[84],{"categories":3696},[42],{"categories":3698},[84],{"categories":3700},[89],{"categories":3702},[],{"categories":3704},[101],{"categories":3706},[42],{"categories":3708},[42],{"categories":3710},[79],{"categories":3712},[123],{"categories":3714},[235],{"categories":3716},[112],{"categories":3718},[89],{"categories":3720},[89],{"categories":3722},[42],{"categories":3724},[89],{"categories":3726},[42],{"categories":3728},[79],{"categories":3730},[],{"categories":3732},[42],{"categories":3734},[42],{"categories":3736},[42],{"categories":3738},[89],{"categories":3740},[42],{"categories":3742},[],{"categories":3744},[],{"categories":3746},[169],{"categories":3748},[89],{"categories":3750},[42,84],{"categories":3752},[89],{"categories":3754},[42],{"categories":3756},[],{"categories":3758},[79],{"categories":3760},[126],{"categories":3762},[84],{"categories":3764},[42],{"categories":3766},[101],{"categories":3768},[42],{"categories":3770},[42],{"categories":3772},[89],{"categories":3774},[42],{"categories":3776},[42],{"categories":3778},[42],{"categories":3780},[123],{"categories":3782},[1132],{"categories":3784},[89],{"categories":3786},[42],{"categories":3788},[],{"categories":3790},[],{"categories":3792},[42],{"categories":3794},[89],{"categories":3796},[42],{"categories":3798},[42],{"categories":3800},[235],{"categories":3802},[],{"categories":3804},[42],{"categories":3806},[89],{"categories":3808},[112],{"categories":3810},[89],{"categories":3812},[406],{"categories":3814},[],{"categories":3816},[350],{"categories":3818},[89],{"categories":3820},[42],{"categories":3822},[198],{"categories":3824},[89],{"categories":3826},[42],{"categories":3828},[126],{"categories":3830},[89],{"categories":3832},[42],{"categories":3834},[406],{"categories":3836},[42],{"categories":3838},[235],{"categories":3840},[],{"categories":3842},[42],{"categories":3844},[198],{"categories":3846},[169],{"categories":3848},[42],{"categories":3850},[42],{"categories":3852},[42],{"categories":3854},[],{"categories":3856},[198],{"categories":3858},[123],{"categories":3860},[42],{"categories":3862},[42],{"categories":3864},[42],{"categories":3866},[497],{"categories":3868},[79],{"categories":3870},[42],{"categories":3872},[42],{"categories":3874},[],{"categories":3876},[],{"categories":3878},[169],{"categories":3880},[42],{"categories":3882},[126],{"categories":3884},[198],{"categories":3886},[89],{"categories":3888},[42],{"categories":3890},[42],{"categories":3892},[198],{"categories":3894},[123],{"categories":3896},[],{"categories":3898},[42],{"categories":3900},[42],{"categories":3902},[],{"categories":3904},[42],{"categories":3906},[42],{"categories":3908},[522],{"categories":3910},[42],{"categories":3912},[42],{"categories":3914},[89],{"categories":3916},[101],{"categories":3918},[406],{"categories":3920},[42],{"categories":3922},[42],{"categories":3924},[42],{"categories":3926},[],{"categories":3928},[42,101],{"categories":3930},[123],{"categories":3932},[89],{"categories":3934},[101],{"categories":3936},[89],{"categories":3938},[833],{"categories":3940},[101],{"categories":3942},[89],{"categories":3944},[42],{"categories":3946},[79],{"categories":3948},[],{"categories":3950},[],{"categories":3952},[89],{"categories":3954},[42],{"categories":3956},[101],{"categories":3958},[42],{"categories":3960},[79],{"categories":3962},[101],{"categories":3964},[101],{"categories":3966},[42],{"categories":3968},[198],{"categories":3970},[42],{"categories":3972},[101],{"categories":3974},[42],{"categories":3976},[],{"categories":3978},[42],{"categories":3980},[169,42],{"categories":3982},[235],{"categories":3984},[79],{"categories":3986},[42],{"categories":3988},[],{"categories":3990},[42],{"categories":3992},[42],{"categories":3994},[84],{"categories":3996},[42],{"categories":3998},[84],{"categories":4000},[42],{"categories":4002},[42],{"categories":4004},[327],{"categories":4006},[42],{"categories":4008},[84],{"categories":4010},[101],{"categories":4012},[126],{"categories":4014},[89],{"categories":4016},[101],{"categories":4018},[42],{"categories":4020},[42],{"categories":4022},[123],{"categories":4024},[198],{"categories":4026},[169],{"categories":4028},[42],{"categories":4030},[42],{"categories":4032},[42],{"categories":4034},[42],{"categories":4036},[79],{"categories":4038},[42],{"categories":4040},[89],{"categories":4042},[89],{"categories":4044},[101],{"categories":4046},[123],{"categories":4048},[101],{"categories":4050},[101],{"categories":4052},[42],{"categories":4054},[42],{"categories":4056},[],{"categories":4058},[],{"categories":4060},[126],{"categories":4062},[42],{"categories":4064},[101],{"categories":4066},[42],{"categories":4068},[169],{"categories":4070},[406],{"categories":4072},[350],{"categories":4074},[327],{"categories":4076},[42],{"categories":4078},[42],{"categories":4080},[42],{"categories":4082},[126],{"categories":4084},[42],{"categories":4086},[42],{"categories":4088},[42],{"categories":4090},[42],{"categories":4092},[42],{"categories":4094},[42],{"categories":4096},[89],{"categories":4098},[79],{"categories":4100},[89],{"categories":4102},[42,84],{"categories":4104},[],{"categories":4106},[169],{"categories":4108},[],{"categories":4110},[92],{"categories":4112},[42],{"categories":4114},[123],{"categories":4116},[79],{"categories":4118},[42],{"categories":4120},[79],{"categories":4122},[89],{"categories":4124},[126],{"categories":4126},[89],{"categories":4128},[89],{"categories":4130},[42],{"categories":4132},[42],{"categories":4134},[84],{"categories":4136},[89],{"categories":4138},[101],{"categories":4140},[198],{"categories":4142},[42],{"categories":4144},[],{"categories":4146},[123],{"categories":4148},[42],{"categories":4150},[42],{"categories":4152},[42],{"categories":4154},[42],{"categories":4156},[42],{"categories":4158},[42],{"categories":4160},[101],{"categories":4162},[123],{"categories":4164},[101],{"categories":4166},[101],{"categories":4168},[42],{"categories":4170},[42],{"categories":4172},[42],{"categories":4174},[350],{"categories":4176},[42],{"categories":4178},[89],{"categories":4180},[123],{"categories":4182},[42],{"categories":4184},[42],{"categories":4186},[42],{"categories":4188},[89],{"categories":4190},[42],{"categories":4192},[42],{"categories":4194},[42],{"categories":4196},[2901],{"categories":4198},[4199],"Clinical AI",{"categories":4201},[169],{"categories":4203},[42],{"categories":4205},[42],{"categories":4207},[42],{"categories":4209},[235],{"categories":4211},[2300],{"categories":4213},[42],{"categories":4215},[92],{"categories":4217},[42],{"categories":4219},[89],{"categories":4221},[42],{"categories":4223},[42],{"categories":4225},[123],{"categories":4227},[42],{"categories":4229},[89],{"categories":4231},[101],{"categories":4233},[198],{"categories":4235},[42],{"categories":4237},[42],{"categories":4239},[84],{"categories":4241},[42],{"categories":4243},[42],{"categories":4245},[461],{"categories":4247},[42],{"categories":4249},[],{"categories":4251},[42],{"categories":4253},[101],{"categories":4255},[79],{"categories":4257},[42],{"categories":4259},[],{"categories":4261},[],{"categories":4263},[42],{"categories":4265},[],{"categories":4267},[84],{"categories":4269},[42],{"categories":4271},[42],{"categories":4273},[89],{"categories":4275},[123],{"categories":4277},[123],{"categories":4279},[123],{"categories":4281},[123],{"categories":4283},[],{"categories":4285},[79],{"categories":4287},[89],{"categories":4289},[123],{"categories":4291},[42],{"categories":4293},[522],{"categories":4295},[92],{"categories":4297},[42],{"categories":4299},[79],{"categories":4301},[42],{"categories":4303},[89],{"categories":4305},[42],{"categories":4307},[42],{"categories":4309},[42,89],{"categories":4311},[89],{"categories":4313},[235],{"categories":4315},[123],{"categories":4317},[89],{"categories":4319},[123],{"categories":4321},[89],{"categories":4323},[42],{"categories":4325},[],{"categories":4327},[123],{"categories":4329},[198],{"categories":4331},[79],{"categories":4333},[42],{"categories":4335},[42],{"categories":4337},[],{"categories":4339},[101],{"categories":4341},[],{"categories":4343},[79],{"categories":4345},[89],{"categories":4347},[123],{"categories":4349},[42],{"categories":4351},[123],{"categories":4353},[79],{"categories":4355},[123],{"categories":4357},[123],{"categories":4359},[],{"categories":4361},[84],{"categories":4363},[89],{"categories":4365},[123],{"categories":4367},[123],{"categories":4369},[123],{"categories":4371},[123],{"categories":4373},[123],{"categories":4375},[123],{"categories":4377},[123],{"categories":4379},[123],{"categories":4381},[123],{"categories":4383},[123],{"categories":4385},[126],{"categories":4387},[79],{"categories":4389},[42],{"categories":4391},[42],{"categories":4393},[89],{"categories":4395},[89],{"categories":4397},[],{"categories":4399},[42],{"categories":4401},[42,79],{"categories":4403},[],{"categories":4405},[89],{"categories":4407},[42],{"categories":4409},[123],{"categories":4411},[89],{"categories":4413},[833],{"categories":4415},[42],{"categories":4417},[42],{"categories":4419},[42],{"categories":4421},[42],{"categories":4423},[42],{"categories":4425},[327],{"categories":4427},[42],{"categories":4429},[42],{"categories":4431},[89],{"categories":4433},[42],{"categories":4435},[84],{"categories":4437},[92],{"categories":4439},[89],{"categories":4441},[89],{"categories":4443},[],{"categories":4445},[89],{"categories":4447},[169],{"categories":4449},[123],{"categories":4451},[42],{"categories":4453},[],{"categories":4455},[92],{"categories":4457},[],{"categories":4459},[101],{"categories":4461},[89],{"categories":4463},[169],{"categories":4465},[42],{"categories":4467},[],{"categories":4469},[42],{"categories":4471},[],{"categories":4473},[198],{"categories":4475},[42],{"categories":4477},[],{"categories":4479},[],{"categories":4481},[123],{"categories":4483},[79],{"categories":4485},[42],{"categories":4487},[42],{"categories":4489},[84],{"categories":4491},[42],{"categories":4493},[42],{"categories":4495},[42],{"categories":4497},[84],{"categories":4499},[84],{"categories":4501},[169],{"categories":4503},[],{"categories":4505},[42],{"categories":4507},[123],{"categories":4509},[],{"categories":4511},[42],{"categories":4513},[42],{"categories":4515},[169],{"categories":4517},[42],{"categories":4519},[198],{"categories":4521},[42],{"categories":4523},[235],{"categories":4525},[],{"categories":4527},[89],{"categories":4529},[198],{"categories":4531},[101],{"categories":4533},[],{"categories":4535},[42],{"categories":4537},[],{"categories":4539},[89],{"categories":4541},[169],{"categories":4543},[101],{"categories":4545},[],{"categories":4547},[2901],{"categories":4549},[84],{"categories":4551},[79],{"categories":4553},[42],{"categories":4555},[126],{"categories":4557},[89],{"categories":4559},[169],{"categories":4561},[101],{"categories":4563},[],{"categories":4565},[],{"categories":4567},[42],{"categories":4569},[79],{"categories":4571},[42],{"categories":4573},[198],{"categories":4575},[],{"categories":4577},[89],{"categories":4579},[89],{"categories":4581},[42],{"categories":4583},[89],{"categories":4585},[42],{"categories":4587},[123],{"categories":4589},[101],{"categories":4591},[42],{"categories":4593},[89],{"categories":4595},[92],{"categories":4597},[42],{"categories":4599},[42],{"categories":4601},[89],{"categories":4603},[42],{"categories":4605},[92],{"categories":4607},[198],{"categories":4609},[123],{"categories":4611},[],{"categories":4613},[198],{"categories":4615},[42],{"categories":4617},[],{"categories":4619},[101],{"categories":4621},[89],{"categories":4623},[],{"categories":4625},[42],{"categories":4627},[42],{"categories":4629},[42],{"categories":4631},[42],{"categories":4633},[42],{"categories":4635},[89],{"categories":4637},[84],{"categories":4639},[79],{"categories":4641},[42],{"categories":4643},[169],{"categories":4645},[101],{"categories":4647},[101],{"categories":4649},[42],{"categories":4651},[126],{"categories":4653},[89],{"categories":4655},[42],{"categories":4657},[42],{"categories":4659},[89],{"categories":4661},[42],{"categories":4663},[84],{"categories":4665},[169],{"categories":4667},[101],{"categories":4669},[89],{"categories":4671},[42],{"categories":4673},[92],{"categories":4675},[42],{"categories":4677},[89],{"categories":4679},[42],{"categories":4681},[42],{"categories":4683},[123],{"categories":4685},[42],{"categories":4687},[],{"categories":4689},[79],{"categories":4691},[42],{"categories":4693},[42],{"categories":4695},[42],{"categories":4697},[101],{"categories":4699},[101],{"categories":4701},[42],{"categories":4703},[101],{"categories":4705},[42],{"categories":4707},[89],{"categories":4709},[42],{"categories":4711},[42],{"categories":4713},[42],{"categories":4715},[42],{"categories":4717},[42],{"categories":4719},[],{"categories":4721},[42],{"categories":4723},[169],{"categories":4725},[84],{"categories":4727},[123],{"categories":4729},[42],{"categories":4731},[89],{"categories":4733},[42],{"categories":4735},[89],{"categories":4737},[42],{"categories":4739},[42],{"categories":4741},[169],{"categories":4743},[89],{"categories":4745},[42],{"categories":4747},[198],{"categories":4749},[42],{"categories":4751},[126],{"categories":4753},[42],{"categories":4755},[42],{"categories":4757},[123],{"categories":4759},[42],{"categories":4761},[42],{"categories":4763},[42],{"categories":4765},[42],{"categories":4767},[89],{"categories":4769},[235],{"categories":4771},[42],{"categories":4773},[101],{"categories":4775},[89],{"categories":4777},[126],{"categories":4779},[],{"categories":4781},[89],{"categories":4783},[101],{"categories":4785},[42],{"categories":4787},[42],{"categories":4789},[2146],{"categories":4791},[169],{"categories":4793},[264],{"categories":4795},[42],{"categories":4797},[42],{"categories":4799},[42],{"categories":4801},[42],{"categories":4803},[79],{"categories":4805},[42],{"categories":4807},[42],{"categories":4809},[101],{"categories":4811},[84],{"categories":4813},[101],{"categories":4815},[42],{"categories":4817},[],{"categories":4819},[89],{"categories":4821},[89],{"categories":4823},[42],{"categories":4825},[42],{"categories":4827},[126],{"categories":4829},[],{"categories":4831},[123],{"categories":4833},[],{"categories":4835},[123],{"categories":4837},[42],{"categories":4839},[42],{"categories":4841},[89],{"categories":4843},[42],{"categories":4845},[89],{"categories":4847},[89],{"categories":4849},[],{"categories":4851},[123],{"categories":4853},[42],{"categories":4855},[],{"categories":4857},[42],{"categories":4859},[42],{"categories":4861},[],{"categories":4863},[42],{"categories":4865},[169],{"categories":4867},[101],{"categories":4869},[89],{"categories":4871},[42],{"categories":4873},[42],{"categories":4875},[42],{"categories":4877},[198],{"categories":4879},[42],{"categories":4881},[42],{"categories":4883},[42],{"categories":4885},[79],{"categories":4887},[42],{"categories":4889},[42],{"categories":4891},[],{"categories":4893},[42],{"categories":4895},[42],{"categories":4897},[],{"categories":4899},[79],{"categories":4901},[42],{"categories":4903},[123],{"categories":4905},[101],{"categories":4907},[92],{"categories":4909},[406],{"categories":4911},[42],{"categories":4913},[42],{"categories":4915},[42],{"categories":4917},[101],{"categories":4919},[123],{"categories":4921},[169],{"categories":4923},[42],{"categories":4925},[42],{"categories":4927},[42],{"categories":4929},[42],{"categories":4931},[123],{"categories":4933},[169],{"categories":4935},[42],{"categories":4937},[42],{"categories":4939},[123],{"categories":4941},[169],{"categories":4943},[42],{"categories":4945},[123],{"categories":4947},[42],{"categories":4949},[89],{"categories":4951},[89],{"categories":4953},[89],{"categories":4955},[101],{"categories":4957},[123],{"categories":4959},[89],{"categories":4961},[89],{"categories":4963},[42],{"categories":4965},[101],{"categories":4967},[169],{"categories":4969},[42],{"categories":4971},[42],{"categories":4973},[42],{"categories":4975},[],{"categories":4977},[89],{"categories":4979},[],{"categories":4981},[42],{"categories":4983},[42],{"categories":4985},[],{"categories":4987},[],{"categories":4989},[89],{"categories":4991},[84],{"categories":4993},[89],{"categories":4995},[4996],"Liability & Ethics",{"categories":4998},[42],{"categories":5000},[42],{"categories":5002},[89],{"categories":5004},[79],{"categories":5006},[89],{"categories":5008},[84],{"categories":5010},[198],{"categories":5012},[89],{"categories":5014},[42],{"categories":5016},[42],{"categories":5018},[],{"categories":5020},[497],{"categories":5022},[89],{"categories":5024},[],{"categories":5026},[42],{"categories":5028},[79],{"categories":5030},[89],{"categories":5032},[],{"categories":5034},[89],{"categories":5036},[42],{"categories":5038},[42],{"categories":5040},[101],{"categories":5042},[42],{"categories":5044},[123],{"categories":5046},[42],{"categories":5048},[42],{"categories":5050},[89],{"categories":5052},[42],{"categories":5054},[42],{"categories":5056},[42],{"categories":5058},[123],{"categories":5060},[89],{"categories":5062},[101],{"categories":5064},[169],{"categories":5066},[79],{"categories":5068},[42],{"categories":5070},[42],{"categories":5072},[],{"categories":5074},[89],{"categories":5076},[89],{"categories":5078},[89],{"categories":5080},[406],{"categories":5082},[169],{"categories":5084},[89],{"categories":5086},[235],{"categories":5088},[101],{"categories":5090},[123],{"categories":5092},[42],{"categories":5094},[169],{"categories":5096},[42],{"categories":5098},[79],{"categories":5100},[],{"categories":5102},[89],{"categories":5104},[42],{"categories":5106},[42],{"categories":5108},[42],{"categories":5110},[89],{"categories":5112},[42],{"categories":5114},[169],{"categories":5116},[],{"categories":5118},[89],{"categories":5120},[92],{"categories":5122},[123],{"categories":5124},[89],{"categories":5126},[84],{"categories":5128},[],{"categories":5130},[42],{"categories":5132},[42],{"categories":5134},[92],{"categories":5136},[42],{"categories":5138},[89],{"categories":5140},[123],{"categories":5142},[79],{"categories":5144},[235],{"categories":5146},[42],{"categories":5148},[42],{"categories":5150},[42],{"categories":5152},[123],{"categories":5154},[84],{"categories":5156},[42],{"categories":5158},[169],{"categories":5160},[123],{"categories":5162},[235],{"categories":5164},[42],{"categories":5166},[89],{"categories":5168},[],{"categories":5170},[461],{"categories":5172},[],{"categories":5174},[42],{"categories":5176},[235],{"categories":5178},[42],{"categories":5180},[126],{"categories":5182},[89],{"categories":5184},[89],{"categories":5186},[5187],"Design News & Tools",{"categories":5189},[42],{"categories":5191},[123],{"categories":5193},[42],{"categories":5195},[42],{"categories":5197},[79],{"categories":5199},[42],{"categories":5201},[169],{"categories":5203},[89],{"categories":5205},[89],{"categories":5207},[169],{"categories":5209},[42],{"categories":5211},[406],{"categories":5213},[89],{"categories":5215},[42],{"categories":5217},[42],{"categories":5219},[406],{"categories":5221},[42],{"categories":5223},[198],{"categories":5225},[42],{"categories":5227},[89],{"categories":5229},[],{"categories":5231},[42],{"categories":5233},[42],{"categories":5235},[42],{"categories":5237},[123],{"categories":5239},[79],{"categories":5241},[],{"categories":5243},[42],{"categories":5245},[42],{"categories":5247},[42],{"categories":5249},[101],{"categories":5251},[522],{"categories":5253},[101],{"categories":5255},[169],{"categories":5257},[42],{"categories":5259},[42,89],{"categories":5261},[198,84],{"categories":5263},[101],{"categories":5265},[42],{"categories":5267},[42],{"categories":5269},[42],{"categories":5271},[42],{"categories":5273},[],{"categories":5275},[89],{"categories":5277},[42],{"categories":5279},[],{"categories":5281},[42],{"categories":5283},[101],{"categories":5285},[42],{"categories":5287},[101],{"categories":5289},[],{"categories":5291},[89],{"categories":5293},[42],{"categories":5295},[84],{"categories":5297},[42],{"categories":5299},[123],{"categories":5301},[42],{"categories":5303},[],{"categories":5305},[89],{"categories":5307},[42],{"categories":5309},[],{"categories":5311},[169],{"categories":5313},[42],{"categories":5315},[42],{"categories":5317},[89],{"categories":5319},[42],{"categories":5321},[42],{"categories":5323},[79],{"categories":5325},[89],{"categories":5327},[42],{"categories":5329},[],{"categories":5331},[235],{"categories":5333},[198],{"categories":5335},[84],{"categories":5337},[84],{"categories":5339},[42],{"categories":5341},[79],{"categories":5343},[79],{"categories":5345},[42],{"categories":5347},[89],{"categories":5349},[42],{"categories":5351},[42],{"categories":5353},[42],{"categories":5355},[42],{"categories":5357},[101],{"categories":5359},[42],{"categories":5361},[79],{"categories":5363},[42],{"categories":5365},[89],{"categories":5367},[42],{"categories":5369},[198],{"categories":5371},[42],{"categories":5373},[123],{"categories":5375},[42],{"categories":5377},[42],{"categories":5379},[89],{"categories":5381},[42],{"categories":5383},[89],{"categories":5385},[],{"categories":5387},[101],{"categories":5389},[],{"categories":5391},[101],{"categories":5393},[89],{"categories":5395},[79],{"categories":5397},[],{"categories":5399},[126],{"categories":5401},[235],{"categories":5403},[42],{"categories":5405},[101],{"categories":5407},[42],{"categories":5409},[],{"categories":5411},[123],{"categories":5413},[89],{"categories":5415},[101],{"categories":5417},[169],{"categories":5419},[42],{"categories":5421},[42],{"categories":5423},[89],{"categories":5425},[101],{"categories":5427},[89],{"categories":5429},[123],{"categories":5431},[42],{"categories":5433},[92],{"categories":5435},[79],{"categories":5437},[92],{"categories":5439},[123],{"categories":5441},[42],{"categories":5443},[101],{"categories":5445},[42],{"categories":5447},[169],{"categories":5449},[84],{"categories":5451},[42],{"categories":5453},[42],{"categories":5455},[42],{"categories":5457},[42],{"categories":5459},[42],{"categories":5461},[42],{"categories":5463},[89],{"categories":5465},[42],{"categories":5467},[89],{"categories":5469},[42],{"categories":5471},[42],{"categories":5473},[79],{"categories":5475},[42],{"categories":5477},[89],{"categories":5479},[89],{"categories":5481},[169],{"categories":5483},[89],{"categories":5485},[89],{"categories":5487},[79],{"categories":5489},[89],{"categories":5491},[169],{"categories":5493},[],{"categories":5495},[42],{"categories":5497},[126],{"categories":5499},[406],{"categories":5501},[42],{"categories":5503},[42],{"categories":5505},[42],{"categories":5507},[101],{"categories":5509},[42],{"categories":5511},[],{"categories":5513},[42],{"categories":5515},[89],{"categories":5517},[42],{"categories":5519},[198],{"categories":5521},[42],{"categories":5523},[123],{"categories":5525},[89],{"categories":5527},[42],{"categories":5529},[198],{"categories":5531},[89],{"categories":5533},[84],{"categories":5535},[84],{"categories":5537},[42],{"categories":5539},[42],{"categories":5541},[42],{"categories":5543},[42],{"categories":5545},[42],{"categories":5547},[79],{"categories":5549},[],{"categories":5551},[42],{"categories":5553},[42],{"categories":5555},[89],{"categories":5557},[89],{"categories":5559},[42],{"categories":5561},[42],{"categories":5563},[42],{"categories":5565},[101],{"categories":5567},[],{"categories":5569},[79],{"categories":5571},[42],{"categories":5573},[42],{"categories":5575},[89],{"categories":5577},[89],{"categories":5579},[],{"categories":5581},[101],{"categories":5583},[101],{"categories":5585},[42],{"categories":5587},[198],{"categories":5589},[84],{"categories":5591},[169],{"categories":5593},[],{"categories":5595},[42],{"categories":5597},[89],{"categories":5599},[79],{"categories":5601},[42],{"categories":5603},[42],{"categories":5605},[101],{"categories":5607},[79],{"categories":5609},[42],{"categories":5611},[42],{"categories":5613},[123],{"categories":5615},[126],{"categories":5617},[123],{"categories":5619},[89],{"categories":5621},[42],{"categories":5623},[],{"categories":5625},[123],{"categories":5627},[89],{"categories":5629},[169],{"categories":5631},[126],{"categories":5633},[42],{"categories":5635},[42],{"categories":5637},[],{"categories":5639},[89],{"categories":5641},[89],{"categories":5643},[89],{"categories":5645},[2901],{"categories":5647},[123],{"categories":5649},[42],{"categories":5651},[101],{"categories":5653},[42],{"categories":5655},[42],{"categories":5657},[42],{"categories":5659},[42],{"categories":5661},[84],{"categories":5663},[42],{"categories":5665},[79],{"categories":5667},[1662],{"categories":5669},[235],{"categories":5671},[79],{"categories":5673},[],{"categories":5675},[42],{"categories":5677},[],{"categories":5679},[123],{"categories":5681},[89],{"categories":5683},[169],{"categories":5685},[42],{"categories":5687},[42],{"categories":5689},[123],{"categories":5691},[],{"categories":5693},[89],{"categories":5695},[89],{"categories":5697},[89],{"categories":5699},[],{"categories":5701},[42],{"categories":5703},[],{"categories":5705},[123],{"categories":5707},[79],{"categories":5709},[169],{"categories":5711},[42],{"categories":5713},[89],{"categories":5715},[123],{"categories":5717},[42],{"categories":5719},[123],{"categories":5721},[],{"categories":5723},[123],{"categories":5725},[79],{"categories":5727},[406],{"categories":5729},[89],{"categories":5731},[42],{"categories":5733},[],{"categories":5735},[101],{"categories":5737},[89],{"categories":5739},[92],{"categories":5741},[89],{"categories":5743},[79],{"categories":5745},[],{"categories":5747},[],{"categories":5749},[],{"categories":5751},[169],{"categories":5753},[89],{"categories":5755},[42],{"categories":5757},[42],{"categories":5759},[],{"categories":5761},[],{"categories":5763},[],{"categories":5765},[42],{"categories":5767},[169],{"categories":5769},[42],{"categories":5771},[],{"categories":5773},[89],{"categories":5775},[42],{"categories":5777},[42],{"categories":5779},[79],{"categories":5781},[],{"categories":5783},[],{"categories":5785},[42],{"categories":5787},[169],{"categories":5789},[42],{"categories":5791},[123],{"categories":5793},[],{"categories":5795},[42],{"categories":5797},[198],{"categories":5799},[123],{"categories":5801},[198],{"categories":5803},[126],{"categories":5805},[42],{"categories":5807},[42],{"categories":5809},[],{"categories":5811},[],{"categories":5813},[89],{"categories":5815},[],{"categories":5817},[42],{"categories":5819},[406],{"categories":5821},[42],{"categories":5823},[42],{"categories":5825},[42],{"categories":5827},[42],{"categories":5829},[],{"categories":5831},[89],{"categories":5833},[42],{"categories":5835},[42],{"categories":5837},[],{"categories":5839},[89],{"categories":5841},[42],{"categories":5843},[123],{"categories":5845},[42],{"categories":5847},[198],{"categories":5849},[84],{"categories":5851},[42],{"categories":5853},[42],{"categories":5855},[89],{"categories":5857},[126],{"categories":5859},[89],{"categories":5861},[89],{"categories":5863},[],{"categories":5865},[89],{"categories":5867},[],{"categories":5869},[42],{"categories":5871},[],{"categories":5873},[123],{"categories":5875},[84],{"categories":5877},[],{"categories":5879},[42],{"categories":5881},[42],{"categories":5883},[],{"categories":5885},[169],{"categories":5887},[79],{"categories":5889},[],{"categories":5891},[84],{"categories":5893},[198],{"categories":5895},[42],{"categories":5897},[101],{"categories":5899},[79],{"categories":5901},[126],{"categories":5903},[84],{"categories":5905},[101],{"categories":5907},[89],{"categories":5909},[101],{"categories":5911},[],{"categories":5913},[42],{"categories":5915},[92],{"categories":5917},[42],{"categories":5919},[],{"categories":5921},[89],{"categories":5923},[79],{"categories":5925},[169],{"categories":5927},[42],{"categories":5929},[79],{"categories":5931},[89],{"categories":5933},[235],{"categories":5935},[42],{"categories":5937},[42],{"categories":5939},[42],{"categories":5941},[79],{"categories":5943},[126],{"categories":5945},[89],{"categories":5947},[],{"categories":5949},[42],{"categories":5951},[42],{"categories":5953},[42],{"categories":5955},[101],{"categories":5957},[89],{"categories":5959},[123],{"categories":5961},[101],{"categories":5963},[42],{"categories":5965},[92],{"categories":5967},[],{"categories":5969},[169],{"categories":5971},[101],{"categories":5973},[123],{"categories":5975},[79],{"categories":5977},[89],{"categories":5979},[42],{"categories":5981},[42],{"categories":5983},[89],{"categories":5985},[92],{"categories":5987},[42],{"categories":5989},[89],{"categories":5991},[42],{"categories":5993},[84],{"categories":5995},[89],{"categories":5997},[89,235],{"categories":5999},[42],{"categories":6001},[42],{"categories":6003},[89],{"categories":6005},[101],{"categories":6007},[42],{"categories":6009},[42],{"categories":6011},[126],{"categories":6013},[89],{"categories":6015},[198],{"categories":6017},[89],{"categories":6019},[84],{"categories":6021},[],{"categories":6023},[89],{"categories":6025},[42],{"categories":6027},[84],{"categories":6029},[],{"categories":6031},[],{"categories":6033},[101],{"categories":6035},[42],{"categories":6037},[42],{"categories":6039},[89],{"categories":6041},[126],{"categories":6043},[198],{"categories":6045},[42],{"categories":6047},[42],{"categories":6049},[89],{"categories":6051},[],{"categories":6053},[89],{"categories":6055},[123],{"categories":6057},[89],{"categories":6059},[42],{"categories":6061},[],{"categories":6063},[123],{"categories":6065},[101],{"categories":6067},[2901],{"categories":6069},[79],{"categories":6071},[101],{"categories":6073},[42],{"categories":6075},[89],{"categories":6077},[42],{"categories":6079},[42],{"categories":6081},[198],{"categories":6083},[101],{"categories":6085},[],{"categories":6087},[123],{"categories":6089},[42],{"categories":6091},[],{"categories":6093},[89],{"categories":6095},[42],{"categories":6097},[42],{"categories":6099},[42],{"categories":6101},[42],{"categories":6103},[89],{"categories":6105},[42],{"categories":6107},[42],{"categories":6109},[92],{"categories":6111},[42],{"categories":6113},[89],{"categories":6115},[42],{"categories":6117},[42],{"categories":6119},[42],{"categories":6121},[42],{"categories":6123},[42],{"categories":6125},[42],{"categories":6127},[42],{"categories":6129},[84],{"categories":6131},[],{"categories":6133},[92],{"categories":6135},[123],{"categories":6137},[89],{"categories":6139},[42],{"categories":6141},[101],{"categories":6143},[],{"categories":6145},[101],{"categories":6147},[101],{"categories":6149},[89],{"categories":6151},[101],{"categories":6153},[42],{"categories":6155},[42],{"categories":6157},[42],{"categories":6159},[89],{"categories":6161},[101],{"categories":6163},[42],{"categories":6165},[42],{"categories":6167},[42],{"categories":6169},[89],{"categories":6171},[123],{"categories":6173},[42],{"categories":6175},[42],{"categories":6177},[42],{"categories":6179},[84],{"categories":6181},[42],{"categories":6183},[89],{"categories":6185},[169],{"categories":6187},[],{"categories":6189},[42],{"categories":6191},[126],{"categories":6193},[89],{"categories":6195},[42],{"categories":6197},[42],{"categories":6199},[],{"categories":6201},[42],{"categories":6203},[42],{"categories":6205},[123],{"categories":6207},[42],{"categories":6209},[42],{"categories":6211},[89],{"categories":6213},[198],{"categories":6215},[],{"categories":6217},[],{"categories":6219},[101],{"categories":6221},[42],{"categories":6223},[123],{"categories":6225},[42],{"categories":6227},[101],{"categories":6229},[123],{"categories":6231},[42],{"categories":6233},[198],{"categories":6235},[126],{"categories":6237},[42],{"categories":6239},[42],{"categories":6241},[79],{"categories":6243},[89],{"categories":6245},[42],{"categories":6247},[42],{"categories":6249},[89],{"categories":6251},[89],{"categories":6253},[42],{"categories":6255},[84],{"categories":6257},[],{"categories":6259},[126],{"categories":6261},[42],{"categories":6263},[],{"categories":6265},[123],{"categories":6267},[42],{"categories":6269},[126],{"categories":6271},[42],{"categories":6273},[101],{"categories":6275},[101],{"categories":6277},[101],{"categories":6279},[89],{"categories":6281},[89],{"categories":6283},[42],{"categories":6285},[89],{"categories":6287},[42],{"categories":6289},[42],{"categories":6291},[169],{"categories":6293},[126],{"categories":6295},[126],{"categories":6297},[],{"categories":6299},[123],{"categories":6301},[42],{"categories":6303},[42],{"categories":6305},[101],{"categories":6307},[],{"categories":6309},[123],{"categories":6311},[123],{"categories":6313},[123],{"categories":6315},[],{"categories":6317},[89],{"categories":6319},[42],{"categories":6321},[],{"categories":6323},[79],{"categories":6325},[84],{"categories":6327},[],{"categories":6329},[42],{"categories":6331},[42],{"categories":6333},[],{"categories":6335},[101],{"categories":6337},[],{"categories":6339},[],{"categories":6341},[],{"categories":6343},[],{"categories":6345},[42],{"categories":6347},[123],{"categories":6349},[],{"categories":6351},[],{"categories":6353},[42],{"categories":6355},[42],{"categories":6357},[42],{"categories":6359},[126],{"categories":6361},[42],{"categories":6363},[126],{"categories":6365},[],{"categories":6367},[126],{"categories":6369},[126],{"categories":6371},[235],{"categories":6373},[89],{"categories":6375},[101],{"categories":6377},[],{"categories":6379},[],{"categories":6381},[126],{"categories":6383},[101],{"categories":6385},[101],{"categories":6387},[101],{"categories":6389},[],{"categories":6391},[79],{"categories":6393},[101],{"categories":6395},[101],{"categories":6397},[79],{"categories":6399},[101],{"categories":6401},[84],{"categories":6403},[101],{"categories":6405},[101],{"categories":6407},[101],{"categories":6409},[126],{"categories":6411},[123],{"categories":6413},[123],{"categories":6415},[42],{"categories":6417},[101],{"categories":6419},[126],{"categories":6421},[235],{"categories":6423},[126],{"categories":6425},[126],{"categories":6427},[126],{"categories":6429},[],{"categories":6431},[84],{"categories":6433},[],{"categories":6435},[235],{"categories":6437},[101],{"categories":6439},[101],{"categories":6441},[101],{"categories":6443},[89],{"categories":6445},[123,84],{"categories":6447},[126],{"categories":6449},[],{"categories":6451},[],{"categories":6453},[126],{"categories":6455},[],{"categories":6457},[126],{"categories":6459},[123],{"categories":6461},[89],{"categories":6463},[],{"categories":6465},[101],{"categories":6467},[42],{"categories":6469},[169],{"categories":6471},[],{"categories":6473},[42],{"categories":6475},[],{"categories":6477},[123],{"categories":6479},[79],{"categories":6481},[126],{"categories":6483},[],{"categories":6485},[101],{"categories":6487},[123],[6489,6542,6594,6649],{"id":6490,"title":6491,"ai":6492,"body":6497,"categories":6525,"created_at":43,"date_modified":43,"description":36,"extension":44,"faq":43,"featured":45,"kicker_label":43,"meta":6526,"navigation":58,"path":6532,"published_at":6533,"question":43,"scraped_at":6533,"seo":6534,"sitemap":6535,"source_id":6536,"source_name":64,"source_type":65,"source_url":6529,"stem":6537,"tags":6538,"thumbnail_url":43,"tldr":6539,"tweet":43,"unknown_tags":6540,"__hash__":6541},"summaries\u002Fsummaries\u002Fc53514987261a417-forecasting-side-effects-of-activation-steering-summary.md","Forecasting Side Effects of Activation Steering",{"provider":7,"model":8,"input_tokens":6493,"output_tokens":6494,"processing_time_ms":6495,"cost_usd":6496},4045,480,2449,0.00173125,{"type":14,"value":6498,"toc":6520},[6499,6503,6506,6510,6513,6517],[17,6500,6502],{"id":6501},"the-challenge-of-unintended-consequences-in-activation-steering","The Challenge of Unintended Consequences in Activation Steering",[22,6504,6505],{},"Activation steering—the practice of adding specific vectors to a model's internal activations to influence its output—is a powerful technique for steering LLM behavior. However, its primary limitation is the lack of predictability regarding side effects. When a developer steers a model to be more helpful or to adopt a specific persona, the model may simultaneously lose capabilities in unrelated domains or exhibit unexpected biases. This research addresses the difficulty of forecasting these downstream behavioral changes, providing a methodology to identify potential risks before they manifest in production environments.",[17,6507,6509],{"id":6508},"a-predictive-framework-for-behavioral-shifts","A Predictive Framework for Behavioral Shifts",[22,6511,6512],{},"The authors propose a systematic approach to evaluating the impact of steering vectors by mapping internal activation changes to observable model outputs. Instead of relying on trial-and-error, the framework uses diagnostic probes to measure how steering vectors shift the model's latent space. By analyzing the correlation between these latent shifts and performance on benchmark tasks, the researchers demonstrate that it is possible to predict which capabilities are likely to degrade when a specific steering vector is applied. This allows engineers to quantify the trade-offs between 'steerability' and 'model integrity' before committing to a specific intervention.",[17,6514,6516],{"id":6515},"practical-implications-for-model-control","Practical Implications for Model Control",[22,6518,6519],{},"The findings suggest that side effects are not random but are structurally linked to the model's internal representation of concepts. By identifying these 'interference zones'—where steering vectors overlap with critical reasoning or knowledge pathways—developers can refine their steering vectors to minimize collateral damage. This work moves activation steering from a heuristic-based experiment toward a more rigorous engineering discipline, enabling safer and more reliable model customization.",{"title":36,"searchDepth":37,"depth":37,"links":6521},[6522,6523,6524],{"id":6501,"depth":37,"text":6502},{"id":6508,"depth":37,"text":6509},{"id":6515,"depth":37,"text":6516},[42],{"content_references":6527,"triage":6530},[6528],{"type":49,"title":6491,"url":6529,"context":52},"https:\u002F\u002Farxiv.org\u002Fabs\u002F2608.11227",{"relevance":54,"novelty":55,"quality":55,"actionability":55,"composite":56,"reasoning":6531},"Category: AI & LLMs. The article provides a framework for predicting side effects of activation steering in LLMs, addressing a specific pain point for developers who need to ensure model integrity while customizing behavior. It offers actionable insights into refining steering vectors to minimize unintended consequences, making it highly relevant and practical for the target audience.","\u002Fsummaries\u002Fc53514987261a417-forecasting-side-effects-of-activation-steering-summary","2026-08-14 03:21:16",{"title":6491,"description":36},{"loc":6532},"c53514987261a417","summaries\u002Fc53514987261a417-forecasting-side-effects-of-activation-steering-summary",[68,70,69],"Activation steering allows for precise control over LLM behavior, but it often introduces unintended side effects. This research provides a framework to predict these downstream behavioral changes before deployment.",[],"OV5sAf6SWzE51JSpRpDM2P1aN0v9Dxm5GJvrCIlrdI4",{"id":6543,"title":6544,"ai":6545,"body":6550,"categories":6573,"created_at":43,"date_modified":43,"description":36,"extension":44,"faq":43,"featured":45,"kicker_label":43,"meta":6574,"navigation":58,"path":6584,"published_at":6585,"question":43,"scraped_at":6585,"seo":6586,"sitemap":6587,"source_id":6588,"source_name":64,"source_type":65,"source_url":6578,"stem":6589,"tags":6590,"thumbnail_url":43,"tldr":6591,"tweet":43,"unknown_tags":6592,"__hash__":6593},"summaries\u002Fsummaries\u002F82bd7c975432271f-training-data-granularity-and-parametric-modularit-summary.md","Training Data Granularity and Parametric Modularity in LLMs",{"provider":7,"model":8,"input_tokens":6546,"output_tokens":6547,"processing_time_ms":6548,"cost_usd":6549},4005,470,2567,0.00170625,{"type":14,"value":6551,"toc":6569},[6552,6556,6559,6563,6566],[17,6553,6555],{"id":6554},"the-distinction-between-decodability-and-detachability","The Distinction Between Decodability and Detachability",[22,6557,6558],{},"This research addresses a fundamental limitation in current LLM architecture: the difference between a model's ability to recall information (decodability) and its ability to isolate specific knowledge components for modification or removal (detachability). While standard training methods successfully encode vast amounts of data, they often result in highly entangled parameter states. The authors demonstrate that even when a model can accurately retrieve or 'decode' a specific fact, that fact is frequently distributed across non-contiguous parameter clusters, making it impossible to surgically remove or update without degrading overall model performance.",[17,6560,6562],{"id":6561},"data-granularity-as-the-driver-of-modularity","Data Granularity as the Driver of Modularity",[22,6564,6565],{},"The core finding is that parametric modularity is not an emergent property of scale, but a direct consequence of training data granularity. When models are trained on coarse-grained, heterogeneous datasets, knowledge becomes deeply entangled. Conversely, when training data is structured with higher granularity—where specific concepts, domains, or tasks are presented in distinct, self-contained sequences—the model develops more modular internal representations.",[22,6567,6568],{},"This structural alignment between input data and internal parameter organization suggests that developers can influence the 'editability' of a model by curating training pipelines that prioritize conceptual separation. The research implies that future efforts to improve model reliability and safety should focus on data-centric engineering rather than relying solely on post-hoc fine-tuning or model editing techniques, which often fail because the underlying knowledge is not truly detachable.",{"title":36,"searchDepth":37,"depth":37,"links":6570},[6571,6572],{"id":6554,"depth":37,"text":6555},{"id":6561,"depth":37,"text":6562},[42],{"content_references":6575,"triage":6580},[6576],{"type":49,"title":6577,"url":6578,"context":6579},"Decodable But Not Detachable: Training Data Granularity Determines Parametric Modularity in Large Language Models","https:\u002F\u002Farxiv.org\u002Fabs\u002F2608.10214","cited",{"relevance":6581,"novelty":55,"quality":55,"actionability":6581,"composite":6582,"reasoning":6583},3,3.45,"Category: AI & LLMs. The article discusses the impact of training data granularity on the modularity of LLMs, which is relevant for developers looking to improve AI models. It provides insights into how training data structure affects model performance, but lacks specific actionable steps for implementation.","\u002Fsummaries\u002F82bd7c975432271f-training-data-granularity-and-parametric-modularit-summary","2026-08-13 03:25:45",{"title":6544,"description":36},{"loc":6584},"82bd7c975432271f","summaries\u002F82bd7c975432271f-training-data-granularity-and-parametric-modularit-summary",[68,70,69],"The research establishes that the granularity of training data directly dictates whether knowledge within an LLM is modular and detachable, or merely decodable but entangled.",[],"dZ2d1QYnrVFsc_Rvcroq19W75nDyzaVRgQCeDkdIIHc",{"id":6595,"title":6596,"ai":6597,"body":6602,"categories":6630,"created_at":43,"date_modified":43,"description":36,"extension":44,"faq":43,"featured":45,"kicker_label":43,"meta":6631,"navigation":58,"path":6639,"published_at":6640,"question":43,"scraped_at":6640,"seo":6641,"sitemap":6642,"source_id":6643,"source_name":64,"source_type":65,"source_url":6635,"stem":6644,"tags":6645,"thumbnail_url":43,"tldr":6646,"tweet":43,"unknown_tags":6647,"__hash__":6648},"summaries\u002Fsummaries\u002F41e7bf292bba6d81-detecting-llm-hallucinations-via-internal-state-pr-summary.md","Detecting LLM Hallucinations via Internal State Probing",{"provider":7,"model":8,"input_tokens":6598,"output_tokens":6599,"processing_time_ms":6600,"cost_usd":6601},4031,468,2939,0.00170975,{"type":14,"value":6603,"toc":6625},[6604,6608,6611,6615,6618,6622],[17,6605,6607],{"id":6606},"the-knowing-saying-gap","The Knowing-Saying Gap",[22,6609,6610],{},"Research into LLM reliability reveals a critical disconnect between a model's internal representation of truth and its final output. While models often output high-confidence responses, their internal hidden states frequently contain information that contradicts the generated text. This phenomenon, termed the 'knowing-saying gap,' suggests that models possess latent knowledge of their own errors that is not reflected in their surface-level confidence scores.",[17,6612,6614],{"id":6613},"probing-as-an-error-detection-mechanism","Probing as an Error Detection Mechanism",[22,6616,6617],{},"Standard confidence metrics—such as log-probabilities or self-reported certainty—are often insufficient for identifying hallucinations or factual inaccuracies. The authors demonstrate that internal state probes (linear classifiers trained on the model's intermediate activations) can outperform these traditional metrics. By analyzing the model's internal processing during the generation phase, these probes can identify when the model is 'uncertain' or 'incorrect' even when the model's output layer suggests high confidence.",[17,6619,6621],{"id":6620},"implications-for-ai-safety-and-reliability","Implications for AI Safety and Reliability",[22,6623,6624],{},"This research highlights that relying on a model's own output confidence is a flawed strategy for safety-critical applications. Instead, developers should look toward 'white-box' monitoring techniques. By implementing probes that monitor internal activations, systems can trigger interventions or human-in-the-loop reviews when the model's internal state indicates a high probability of error, effectively bridging the gap between what the model knows and what it says.",{"title":36,"searchDepth":37,"depth":37,"links":6626},[6627,6628,6629],{"id":6606,"depth":37,"text":6607},{"id":6613,"depth":37,"text":6614},{"id":6620,"depth":37,"text":6621},[42],{"content_references":6632,"triage":6636},[6633],{"type":49,"title":6634,"url":6635,"context":6579},"The Knowing-Saying Gap: When Probes See Errors that Confidence Misses","https:\u002F\u002Farxiv.org\u002Fabs\u002F2608.07528",{"relevance":55,"novelty":55,"quality":55,"actionability":6581,"composite":6637,"reasoning":6638},3.8,"Category: AI & LLMs. The article discusses a specific method for detecting errors in LLM outputs, addressing a key pain point for developers concerned about model reliability. It presents new insights into the 'knowing-saying gap' and suggests practical monitoring techniques, although it lacks detailed implementation steps for immediate action.","\u002Fsummaries\u002F41e7bf292bba6d81-detecting-llm-hallucinations-via-internal-state-pr-summary","2026-08-12 03:21:23",{"title":6596,"description":36},{"loc":6639},"41e7bf292bba6d81","summaries\u002F41e7bf292bba6d81-detecting-llm-hallucinations-via-internal-state-pr-summary",[68,70,69],"LLMs often express high confidence in incorrect answers, but internal state probes can detect these errors before the model generates the output, revealing a 'knowing-saying gap'.",[],"q3qHSzMErMijgSEmkfJtUgjtIhX6vKYusPwHy3Xb0X4",{"id":6650,"title":6651,"ai":6652,"body":6657,"categories":6708,"created_at":43,"date_modified":43,"description":36,"extension":44,"faq":43,"featured":45,"kicker_label":43,"meta":6709,"navigation":58,"path":6716,"published_at":6717,"question":43,"scraped_at":6717,"seo":6718,"sitemap":6719,"source_id":6720,"source_name":64,"source_type":65,"source_url":6713,"stem":6721,"tags":6722,"thumbnail_url":43,"tldr":6723,"tweet":43,"unknown_tags":6724,"__hash__":6725},"summaries\u002Fsummaries\u002Fef0b1a7203bc2157-predicting-item-acceptance-via-llm-generated-criti-summary.md","Predicting Item Acceptance via LLM-Generated Critiques",{"provider":7,"model":8,"input_tokens":6653,"output_tokens":6654,"processing_time_ms":6655,"cost_usd":6656},4039,503,2653,0.00176425,{"type":14,"value":6658,"toc":6703},[6659,6663,6666,6670,6673,6677,6680],[17,6660,6662],{"id":6661},"the-mechanism-of-automated-evaluation","The Mechanism of Automated Evaluation",[22,6664,6665],{},"This research introduces a framework for automating the evaluation of items—such as submissions, proposals, or content—by leveraging Large Language Models (LLMs) to generate detailed critiques. Rather than relying on simple binary classification, the model is prompted to produce a reasoned critique of the item. These critiques are then processed to predict the final acceptance or rejection outcome. The core insight is that the reasoning process captured in the critique acts as a high-fidelity signal for the final decision, effectively mimicking the deliberative process of a human reviewer.",[17,6667,6669],{"id":6668},"performance-and-reliability","Performance and Reliability",[22,6671,6672],{},"The study highlights that LLM-generated critiques provide a more interpretable and accurate basis for decision-making than direct classification prompts. By forcing the model to articulate the strengths and weaknesses of an item before rendering a verdict, the system reduces the likelihood of arbitrary \"black box\" decisions. The researchers found that these critiques correlate strongly with human-expert judgments, suggesting that LLMs can be deployed as reliable assistants in high-stakes review environments to filter submissions or provide preliminary feedback at scale.",[17,6674,6676],{"id":6675},"practical-implications-for-review-pipelines","Practical Implications for Review Pipelines",[22,6678,6679],{},"For builders and product teams, this approach offers a scalable way to implement automated moderation or evaluation pipelines. By utilizing the critique-first approach, developers can:",[6681,6682,6683,6691,6697],"ul",{},[6684,6685,6686,6690],"li",{},[6687,6688,6689],"strong",{},"Increase Transparency:"," The generated critique provides a \"paper trail\" for why an item was accepted or rejected, which is essential for user trust.",[6684,6692,6693,6696],{},[6687,6694,6695],{},"Improve Consistency:"," Automated critiques enforce a standardized set of criteria across all items, reducing the variance often found in human-only review processes.",[6684,6698,6699,6702],{},[6687,6700,6701],{},"Enable Iterative Feedback:"," Because the output is a critique rather than just a score, the system can provide actionable feedback to the submitter, turning a rejection into a learning opportunity.",{"title":36,"searchDepth":37,"depth":37,"links":6704},[6705,6706,6707],{"id":6661,"depth":37,"text":6662},{"id":6668,"depth":37,"text":6669},{"id":6675,"depth":37,"text":6676},[42],{"content_references":6710,"triage":6714},[6711],{"type":49,"title":6712,"url":6713,"context":6579},"Automated item evaluation: Predicting item acceptance and rejection using LLM-generated critiques","https:\u002F\u002Farxiv.org\u002Fabs\u002F2608.06609",{"relevance":54,"novelty":55,"quality":55,"actionability":55,"composite":56,"reasoning":6715},"Category: AI & LLMs. The article presents a novel framework for using LLMs to automate item evaluation, addressing a specific pain point for product teams looking to enhance review processes. It provides actionable insights on implementing critique-based evaluation pipelines, which can directly benefit builders of AI-powered products.","\u002Fsummaries\u002Fef0b1a7203bc2157-predicting-item-acceptance-via-llm-generated-criti-summary","2026-08-11 03:21:36",{"title":6651,"description":36},{"loc":6716},"ef0b1a7203bc2157","summaries\u002Fef0b1a7203bc2157-predicting-item-acceptance-via-llm-generated-criti-summary",[68,70,69],"This research demonstrates that LLMs can effectively predict the acceptance or rejection of items by generating structured critiques that serve as reliable proxies for human evaluation.",[],"j2YtDVsME0Wr8OAGNtnwDw6HumyiqeYj6YvsSTC7d9k"]