[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"summary-77a733d110074832-measuring-and-restoring-constraint-influence-in-ll-summary":3,"summaries-facets-categories":100,"summary-related-77a733d110074832-measuring-and-restoring-constraint-influence-in-ll-summary":6514},{"id":4,"title":5,"ai":6,"body":13,"categories":66,"created_at":68,"date_modified":68,"description":60,"extension":69,"faq":68,"featured":70,"kicker_label":68,"meta":71,"navigation":83,"path":84,"published_at":85,"question":68,"scraped_at":85,"seo":86,"sitemap":87,"source_id":88,"source_name":89,"source_type":90,"source_url":76,"stem":91,"tags":92,"thumbnail_url":68,"tldr":97,"tweet":68,"unknown_tags":98,"__hash__":99},"summaries\u002Fsummaries\u002F77a733d110074832-measuring-and-restoring-constraint-influence-in-ll-summary.md","Measuring and Restoring Constraint Influence in LLMs",{"provider":7,"model":8,"input_tokens":9,"output_tokens":10,"processing_time_ms":11,"cost_usd":12},"openrouter","google\u002Fgemini-3.1-flash-lite",4008,560,2990,0.001842,{"type":14,"value":15,"toc":59},"minimark",[16,21,25,29,32,35,52,56],[17,18,20],"h2",{"id":19},"the-dead-text-problem-in-long-context-llms","The 'Dead Text' Problem in Long-Context LLMs",[22,23,24],"p",{},"As dialogue length increases, LLMs suffer from a degradation in constraint adherence. The authors identify that specific instructions—even when explicitly stated—often become 'dead text,' where the model fails to incorporate them into its output generation. This is particularly prevalent in black-box environments where developers lack access to internal weights or attention maps to diagnose why a constraint is being ignored.",[17,26,28],{"id":27},"quantifying-and-restoring-constraint-influence","Quantifying and Restoring Constraint Influence",[22,30,31],{},"The researchers propose a framework to measure the 'influence' of a constraint by evaluating how much a specific instruction shifts the model's output distribution. By treating the model as a black box, they develop a diagnostic approach to identify which constraints are being ignored and why.",[22,33,34],{},"To restore influence, the authors suggest a method of 'constraint re-weighting' or 'prompt-reinforcement' that forces the model to re-attend to the ignored instructions. This involves:",[36,37,38,46],"ul",{},[39,40,41,45],"li",{},[42,43,44],"strong",{},"Influence Measurement:"," Calculating the divergence between outputs generated with and without the specific constraint to determine if the model is actually 'binding' the instruction.",[39,47,48,51],{},[42,49,50],{},"Dynamic Re-injection:"," If a constraint is identified as 'dead,' the system automatically re-injects the constraint into the prompt context or adjusts the prompt structure to increase its saliency.",[17,53,55],{"id":54},"practical-implications-for-ai-engineering","Practical Implications for AI Engineering",[22,57,58],{},"This research highlights that prompt engineering is not a static task but a dynamic one. For builders, the takeaway is that relying on initial system prompts for complex, multi-turn tasks is insufficient. Instead, developers should implement monitoring layers that verify if constraints are being followed. When adherence drops, the system should trigger a 're-binding' step—effectively reminding the model of the constraints mid-dialogue—to ensure the model remains aligned with the user's requirements throughout the entire session.",{"title":60,"searchDepth":61,"depth":61,"links":62},"",2,[63,64,65],{"id":19,"depth":61,"text":20},{"id":27,"depth":61,"text":28},{"id":54,"depth":61,"text":55},[67],"AI & LLMs",null,"md",false,{"content_references":72,"triage":78},[73],{"type":74,"title":75,"url":76,"context":77},"paper","Dead text or binding clause? Measuring and restoring constraint influence in black-box LLM dialogues","https:\u002F\u002Farxiv.org\u002Fabs\u002F2608.12599","cited",{"relevance":79,"novelty":80,"quality":80,"actionability":80,"composite":81,"reasoning":82},5,4,4.35,"Category: AI & LLMs. The article provides a deep dive into the 'dead text' problem in LLMs and presents a novel framework for measuring and restoring constraint adherence, which directly addresses a pain point for developers working with AI models. It offers actionable insights on implementing monitoring layers and dynamic re-injection of constraints, making it highly relevant for builders of AI-powered products.",true,"\u002Fsummaries\u002F77a733d110074832-measuring-and-restoring-constraint-influence-in-ll-summary","2026-08-15 03:11:04",{"title":5,"description":60},{"loc":84},"77a733d110074832","arXiv cs.AI","article","summaries\u002F77a733d110074832-measuring-and-restoring-constraint-influence-in-ll-summary",[93,94,95,96],"llm","prompt-engineering","research","machine-learning","LLMs often ignore complex constraints in long dialogues, treating them as 'dead text.' This research introduces a method to quantify and restore constraint adherence in black-box models.",[],"47a36tPrXfOpE9JJ8kKNL_6INnyefw_zQmOBAXE8FR8",[101,103,106,108,111,113,116,119,121,123,125,128,130,132,134,136,139,141,143,145,147,150,153,155,157,159,161,163,165,167,169,171,173,175,177,179,181,183,185,187,189,191,193,196,198,200,202,204,206,208,210,212,214,216,218,220,222,225,227,229,231,233,235,237,239,241,243,245,247,249,251,253,255,257,259,262,264,266,268,270,272,274,276,278,280,282,284,286,288,291,293,295,297,299,301,303,305,307,309,311,313,315,317,319,321,323,325,327,329,331,333,335,337,339,341,343,345,347,349,351,354,356,358,360,362,364,366,368,370,372,374,377,379,381,383,385,387,389,391,393,395,397,399,401,403,405,407,410,412,414,416,418,420,422,424,426,428,430,433,435,437,439,441,443,445,447,449,451,453,455,457,459,461,463,465,467,469,471,473,475,477,479,481,483,485,488,490,492,495,497,499,501,503,505,507,509,511,513,515,517,519,521,524,526,528,530,532,534,536,538,540,542,544,546,549,551,553,555,557,559,561,563,565,567,569,571,573,575,577,579,581,583,585,587,589,591,593,595,597,599,601,603,605,607,609,611,613,615,617,619,621,623,625,627,629,631,633,635,637,639,641,643,645,647,649,651,653,655,657,659,661,663,665,667,669,671,673,675,677,679,681,683,685,687,689,691,693,695,697,699,701,703,705,707,709,711,713,715,717,719,721,723,725,727,729,731,733,735,737,739,741,743,745,747,749,751,753,755,757,759,761,763,765,767,769,771,773,775,777,779,781,783,785,787,789,791,793,795,797,799,801,803,805,807,809,811,813,815,817,819,821,824,826,828,830,832,835,837,839,841,843,845,847,849,851,853,855,857,860,862,864,866,868,870,872,874,876,878,880,882,884,886,888,890,892,894,896,898,900,902,904,906,908,910,912,914,916,918,920,922,924,926,928,930,932,934,936,938,940,942,944,946,948,950,952,954,956,958,960,962,964,966,968,970,972,974,976,978,980,982,984,986,988,990,992,994,996,998,1000,1002,1004,1006,1008,1010,1012,1014,1016,1018,1020,1022,1024,1026,1028,1030,1032,1034,1036,1038,1040,1042,1044,1046,1048,1050,1052,1054,1056,1058,1060,1062,1064,1066,1068,1070,1072,1074,1076,1078,1080,1082,1084,1086,1088,1090,1092,1094,1096,1098,1100,1102,1104,1106,1108,1110,1112,1114,1116,1118,1120,1122,1124,1126,1128,1130,1132,1134,1136,1138,1140,1142,1144,1146,1148,1150,1152,1154,1156,1159,1161,1163,1165,1167,1169,1171,1173,1175,1177,1179,1181,1183,1185,1187,1189,1191,1193,1195,1197,1199,1201,1203,1205,1207,1209,1211,1213,1215,1217,1219,1221,1223,1225,1227,1229,1231,1233,1235,1237,1239,1241,1243,1245,1247,1249,1251,1253,1255,1257,1259,1261,1263,1265,1267,1269,1271,1273,1275,1277,1279,1281,1283,1285,1287,1289,1291,1293,1295,1297,1299,1301,1303,1305,1307,1309,1311,1313,1315,1317,1319,1321,1323,1325,1327,1329,1331,1333,1335,1337,1339,1341,1343,1345,1347,1350,1352,1354,1356,1358,1360,1362,1364,1366,1368,1370,1372,1374,1376,1378,1380,1382,1384,1386,1388,1390,1392,1394,1396,1398,1400,1402,1404,1406,1408,1410,1412,1414,1416,1418,1420,1422,1424,1426,1428,1430,1432,1434,1436,1438,1440,1442,1444,1446,1448,1450,1452,1454,1456,1458,1460,1462,1464,1466,1468,1470,1472,1474,1476,1478,1480,1483,1485,1487,1489,1491,1493,1495,1497,1499,1501,1503,1505,1507,1509,1511,1513,1515,1517,1519,1521,1523,1525,1527,1529,1531,1533,1535,1537,1539,1541,1543,1545,1547,1549,1551,1553,1555,1557,1559,1561,1563,1565,1567,1569,1571,1573,1575,1577,1579,1581,1583,1585,1587,1589,1591,1593,1595,1597,1599,1601,1603,1605,1607,1609,1611,1613,1615,1617,1619,1621,1623,1625,1628,1630,1632,1634,1636,1638,1640,1642,1644,1646,1648,1650,1652,1654,1656,1658,1660,1662,1664,1666,1668,1670,1672,1674,1676,1678,1680,1682,1684,1686,1689,1691,1693,1695,1697,1699,1701,1703,1705,1707,1709,1711,1713,1715,1717,1719,1721,1723,1725,1727,1729,1731,1733,1735,1737,1739,1741,1743,1745,1747,1749,1751,1753,1755,1757,1759,1761,1763,1765,1767,1769,1771,1773,1775,1777,1779,1781,1783,1785,1787,1789,1791,1793,1795,1797,1799,1801,1803,1805,1807,1809,1811,1813,1815,1817,1819,1821,1823,1825,1827,1829,1831,1833,1835,1837,1839,1841,1843,1845,1847,1849,1851,1853,1855,1857,1859,1861,1863,1865,1867,1869,1871,1873,1875,1877,1879,1881,1883,1885,1887,1889,1891,1893,1895,1897,1899,1901,1903,1905,1907,1909,1911,1913,1915,1917,1919,1921,1923,1925,1927,1929,1931,1933,1935,1937,1939,1941,1943,1945,1947,1949,1951,1953,1955,1957,1959,1961,1963,1965,1967,1969,1971,1973,1975,1977,1979,1981,1983,1985,1987,1989,1991,1993,1995,1997,1999,2001,2003,2005,2007,2009,2011,2013,2015,2017,2019,2021,2023,2025,2027,2029,2031,2033,2035,2037,2039,2041,2043,2045,2047,2049,2051,2053,2055,2057,2059,2061,2063,2065,2067,2069,2071,2073,2075,2077,2079,2081,2083,2085,2087,2090,2092,2094,2096,2098,2100,2102,2104,2106,2108,2110,2112,2114,2116,2118,2120,2122,2124,2126,2128,2130,2132,2134,2136,2138,2140,2142,2144,2146,2148,2150,2152,2154,2156,2158,2160,2162,2164,2166,2168,2170,2173,2175,2177,2179,2181,2183,2185,2187,2189,2191,2193,2195,2197,2199,2201,2203,2205,2207,2209,2211,2213,2215,2217,2219,2221,2223,2225,2227,2229,2231,2233,2235,2237,2239,2241,2243,2245,2247,2249,2251,2253,2255,2257,2259,2261,2263,2265,2267,2269,2271,2273,2275,2277,2279,2281,2283,2286,2288,2290,2292,2294,2296,2298,2300,2302,2304,2306,2308,2310,2312,2314,2316,2318,2320,2322,2324,2327,2329,2331,2333,2335,2337,2339,2341,2343,2345,2347,2349,2351,2353,2355,2357,2359,2361,2363,2365,2367,2369,2371,2373,2375,2377,2379,2381,2383,2385,2387,2389,2391,2393,2395,2397,2399,2401,2403,2405,2407,2409,2411,2413,2415,2417,2419,2421,2423,2425,2427,2429,2431,2433,2435,2437,2439,2441,2443,2445,2447,2449,2451,2453,2455,2457,2459,2461,2463,2465,2467,2469,2471,2473,2475,2477,2479,2481,2483,2485,2487,2489,2491,2493,2495,2497,2499,2501,2503,2505,2507,2509,2511,2513,2515,2517,2519,2521,2523,2525,2527,2529,2531,2533,2535,2537,2539,2541,2543,2545,2547,2549,2551,2553,2555,2557,2559,2561,2563,2565,2567,2569,2571,2573,2575,2577,2579,2581,2583,2585,2587,2589,2591,2593,2595,2597,2599,2601,2603,2605,2607,2609,2611,2613,2615,2617,2619,2621,2623,2625,2627,2629,2631,2633,2635,2637,2639,2641,2643,2645,2647,2649,2651,2653,2655,2657,2659,2661,2663,2665,2667,2669,2671,2673,2675,2677,2679,2681,2683,2685,2687,2689,2691,2693,2695,2697,2699,2701,2703,2705,2707,2709,2711,2713,2715,2717,2719,2721,2723,2725,2727,2729,2731,2733,2735,2737,2739,2741,2743,2745,2747,2749,2751,2753,2755,2757,2759,2761,2763,2765,2767,2769,2771,2773,2775,2777,2779,2781,2783,2785,2787,2789,2791,2793,2795,2797,2799,2801,2803,2805,2807,2809,2811,2813,2815,2817,2819,2821,2823,2825,2827,2829,2831,2833,2835,2837,2839,2841,2843,2845,2847,2849,2851,2853,2855,2857,2859,2861,2863,2865,2867,2869,2871,2873,2875,2877,2879,2881,2883,2885,2887,2889,2891,2893,2895,2897,2899,2901,2903,2905,2907,2909,2911,2913,2915,2917,2919,2921,2923,2925,2928,2930,2932,2934,2936,2938,2940,2942,2944,2946,2948,2950,2952,2954,2956,2958,2960,2962,2964,2966,2968,2970,2972,2974,2976,2978,2980,2982,2984,2986,2988,2990,2992,2994,2996,2998,3000,3002,3004,3006,3008,3010,3012,3014,3016,3018,3020,3022,3024,3026,3028,3030,3032,3034,3036,3038,3040,3043,3045,3047,3049,3051,3053,3055,3057,3059,3061,3063,3065,3067,3069,3071,3073,3075,3077,3079,3081,3083,3085,3087,3089,3091,3093,3095,3097,3099,3101,3103,3105,3107,3109,3111,3113,3115,3117,3119,3121,3123,3125,3127,3129,3131,3133,3135,3137,3139,3141,3143,3145,3147,3149,3151,3153,3155,3157,3159,3161,3163,3165,3167,3169,3171,3173,3175,3177,3179,3181,3183,3185,3187,3189,3191,3193,3195,3197,3199,3201,3203,3205,3207,3209,3211,3213,3215,3217,3219,3221,3223,3225,3227,3229,3231,3233,3235,3237,3239,3241,3243,3245,3247,3249,3251,3253,3255,3257,3259,3261,3263,3265,3267,3269,3271,3273,3275,3277,3279,3281,3283,3285,3287,3289,3291,3293,3295,3297,3299,3301,3303,3305,3307,3309,3311,3313,3315,3317,3319,3321,3323,3325,3327,3329,3331,3333,3335,3337,3339,3341,3343,3345,3347,3349,3351,3353,3355,3357,3359,3361,3363,3365,3367,3369,3371,3373,3375,3377,3379,3381,3383,3385,3387,3389,3391,3393,3395,3397,3399,3401,3403,3405,3407,3409,3411,3413,3415,3417,3419,3421,3423,3425,3427,3429,3431,3433,3435,3437,3439,3441,3443,3445,3447,3449,3451,3453,3455,3457,3459,3461,3463,3465,3467,3469,3471,3473,3475,3477,3479,3481,3483,3485,3487,3489,3491,3493,3495,3497,3499,3501,3503,3505,3507,3509,3511,3513,3515,3517,3519,3521,3523,3525,3527,3529,3531,3533,3535,3537,3539,3541,3543,3545,3547,3549,3551,3553,3555,3557,3559,3561,3563,3565,3567,3569,3571,3573,3575,3577,3579,3581,3583,3585,3587,3589,3591,3593,3595,3597,3599,3601,3603,3605,3607,3609,3611,3613,3615,3617,3619,3621,3623,3625,3627,3629,3631,3633,3635,3637,3639,3641,3643,3645,3647,3649,3651,3653,3655,3657,3659,3661,3663,3665,3667,3669,3671,3673,3675,3677,3679,3681,3683,3685,3687,3689,3691,3693,3695,3697,3699,3701,3703,3705,3707,3709,3711,3713,3715,3717,3719,3721,3723,3725,3727,3729,3731,3733,3735,3737,3739,3741,3743,3745,3747,3749,3751,3753,3755,3757,3759,3761,3763,3765,3767,3769,3771,3773,3775,3777,3779,3781,3783,3785,3787,3789,3791,3793,3795,3797,3799,3801,3803,3805,3807,3809,3811,3813,3815,3817,3819,3821,3823,3825,3827,3829,3831,3833,3835,3837,3839,3841,3843,3845,3847,3849,3851,3853,3855,3857,3859,3861,3863,3865,3867,3869,3871,3873,3875,3877,3879,3881,3883,3885,3887,3889,3891,3893,3895,3897,3899,3901,3903,3905,3907,3909,3911,3913,3915,3917,3919,3921,3923,3925,3927,3929,3931,3933,3935,3937,3939,3941,3943,3945,3947,3949,3951,3953,3955,3957,3959,3961,3963,3965,3967,3969,3971,3973,3975,3977,3979,3981,3983,3985,3987,3989,3991,3993,3995,3997,3999,4001,4003,4005,4007,4009,4011,4013,4015,4017,4019,4021,4023,4025,4027,4029,4031,4033,4035,4037,4039,4041,4043,4045,4047,4049,4051,4053,4055,4057,4059,4061,4063,4065,4067,4069,4071,4073,4075,4077,4079,4081,4083,4085,4087,4089,4091,4093,4095,4097,4099,4101,4103,4105,4107,4109,4111,4113,4115,4117,4119,4121,4123,4125,4127,4129,4131,4133,4135,4137,4139,4141,4143,4145,4147,4149,4151,4153,4155,4157,4159,4161,4163,4165,4167,4169,4171,4173,4175,4177,4179,4181,4183,4185,4187,4189,4191,4193,4195,4197,4199,4201,4203,4205,4207,4209,4211,4213,4215,4217,4219,4221,4223,4226,4228,4230,4232,4234,4236,4238,4240,4242,4244,4246,4248,4250,4252,4254,4256,4258,4260,4262,4264,4266,4268,4270,4272,4274,4276,4278,4280,4282,4284,4286,4288,4290,4292,4294,4296,4298,4300,4302,4304,4306,4308,4310,4312,4314,4316,4318,4320,4322,4324,4326,4328,4330,4332,4334,4336,4338,4340,4342,4344,4346,4348,4350,4352,4354,4356,4358,4360,4362,4364,4366,4368,4370,4372,4374,4376,4378,4380,4382,4384,4386,4388,4390,4392,4394,4396,4398,4400,4402,4404,4406,4408,4410,4412,4414,4416,4418,4420,4422,4424,4426,4428,4430,4432,4434,4436,4438,4440,4442,4444,4446,4448,4450,4452,4454,4456,4458,4460,4462,4464,4466,4468,4470,4472,4474,4476,4478,4480,4482,4484,4486,4488,4490,4492,4494,4496,4498,4500,4502,4504,4506,4508,4510,4512,4514,4516,4518,4520,4522,4524,4526,4528,4530,4532,4534,4536,4538,4540,4542,4544,4546,4548,4550,4552,4554,4556,4558,4560,4562,4564,4566,4568,4570,4572,4574,4576,4578,4580,4582,4584,4586,4588,4590,4592,4594,4596,4598,4600,4602,4604,4606,4608,4610,4612,4614,4616,4618,4620,4622,4624,4626,4628,4630,4632,4634,4636,4638,4640,4642,4644,4646,4648,4650,4652,4654,4656,4658,4660,4662,4664,4666,4668,4670,4672,4674,4676,4678,4680,4682,4684,4686,4688,4690,4692,4694,4696,4698,4700,4702,4704,4706,4708,4710,4712,4714,4716,4718,4720,4722,4724,4726,4728,4730,4732,4734,4736,4738,4740,4742,4744,4746,4748,4750,4752,4754,4756,4758,4760,4762,4764,4766,4768,4770,4772,4774,4776,4778,4780,4782,4784,4786,4788,4790,4792,4794,4796,4798,4800,4802,4804,4806,4808,4810,4812,4814,4816,4818,4820,4822,4824,4826,4828,4830,4832,4834,4836,4838,4840,4842,4844,4846,4848,4850,4852,4854,4856,4858,4860,4862,4864,4866,4868,4870,4872,4874,4876,4878,4880,4882,4884,4886,4888,4890,4892,4894,4896,4898,4900,4902,4904,4906,4908,4910,4912,4914,4916,4918,4920,4922,4924,4926,4928,4930,4932,4934,4936,4938,4940,4942,4944,4946,4948,4950,4952,4954,4956,4958,4960,4962,4964,4966,4968,4970,4972,4974,4976,4978,4980,4982,4984,4986,4988,4990,4992,4994,4996,4998,5000,5002,5004,5006,5008,5010,5012,5014,5016,5018,5020,5023,5025,5027,5029,5031,5033,5035,5037,5039,5041,5043,5045,5047,5049,5051,5053,5055,5057,5059,5061,5063,5065,5067,5069,5071,5073,5075,5077,5079,5081,5083,5085,5087,5089,5091,5093,5095,5097,5099,5101,5103,5105,5107,5109,5111,5113,5115,5117,5119,5121,5123,5125,5127,5129,5131,5133,5135,5137,5139,5141,5143,5145,5147,5149,5151,5153,5155,5157,5159,5161,5163,5165,5167,5169,5171,5173,5175,5177,5179,5181,5183,5185,5187,5189,5191,5193,5195,5197,5199,5201,5203,5205,5207,5209,5211,5214,5216,5218,5220,5222,5224,5226,5228,5230,5232,5234,5236,5238,5240,5242,5244,5246,5248,5250,5252,5254,5256,5258,5260,5262,5264,5266,5268,5270,5272,5274,5276,5278,5280,5282,5284,5286,5288,5290,5292,5294,5296,5298,5300,5302,5304,5306,5308,5310,5312,5314,5316,5318,5320,5322,5324,5326,5328,5330,5332,5334,5336,5338,5340,5342,5344,5346,5348,5350,5352,5354,5356,5358,5360,5362,5364,5366,5368,5370,5372,5374,5376,5378,5380,5382,5384,5386,5388,5390,5392,5394,5396,5398,5400,5402,5404,5406,5408,5410,5412,5414,5416,5418,5420,5422,5424,5426,5428,5430,5432,5434,5436,5438,5440,5442,5444,5446,5448,5450,5452,5454,5456,5458,5460,5462,5464,5466,5468,5470,5472,5474,5476,5478,5480,5482,5484,5486,5488,5490,5492,5494,5496,5498,5500,5502,5504,5506,5508,5510,5512,5514,5516,5518,5520,5522,5524,5526,5528,5530,5532,5534,5536,5538,5540,5542,5544,5546,5548,5550,5552,5554,5556,5558,5560,5562,5564,5566,5568,5570,5572,5574,5576,5578,5580,5582,5584,5586,5588,5590,5592,5594,5596,5598,5600,5602,5604,5606,5608,5610,5612,5614,5616,5618,5620,5622,5624,5626,5628,5630,5632,5634,5636,5638,5640,5642,5644,5646,5648,5650,5652,5654,5656,5658,5660,5662,5664,5666,5668,5670,5672,5674,5676,5678,5680,5682,5684,5686,5688,5690,5692,5694,5696,5698,5700,5702,5704,5706,5708,5710,5712,5714,5716,5718,5720,5722,5724,5726,5728,5730,5732,5734,5736,5738,5740,5742,5744,5746,5748,5750,5752,5754,5756,5758,5760,5762,5764,5766,5768,5770,5772,5774,5776,5778,5780,5782,5784,5786,5788,5790,5792,5794,5796,5798,5800,5802,5804,5806,5808,5810,5812,5814,5816,5818,5820,5822,5824,5826,5828,5830,5832,5834,5836,5838,5840,5842,5844,5846,5848,5850,5852,5854,5856,5858,5860,5862,5864,5866,5868,5870,5872,5874,5876,5878,5880,5882,5884,5886,5888,5890,5892,5894,5896,5898,5900,5902,5904,5906,5908,5910,5912,5914,5916,5918,5920,5922,5924,5926,5928,5930,5932,5934,5936,5938,5940,5942,5944,5946,5948,5950,5952,5954,5956,5958,5960,5962,5964,5966,5968,5970,5972,5974,5976,5978,5980,5982,5984,5986,5988,5990,5992,5994,5996,5998,6000,6002,6004,6006,6008,6010,6012,6014,6016,6018,6020,6022,6024,6026,6028,6030,6032,6034,6036,6038,6040,6042,6044,6046,6048,6050,6052,6054,6056,6058,6060,6062,6064,6066,6068,6070,6072,6074,6076,6078,6080,6082,6084,6086,6088,6090,6092,6094,6096,6098,6100,6102,6104,6106,6108,6110,6112,6114,6116,6118,6120,6122,6124,6126,6128,6130,6132,6134,6136,6138,6140,6142,6144,6146,6148,6150,6152,6154,6156,6158,6160,6162,6164,6166,6168,6170,6172,6174,6176,6178,6180,6182,6184,6186,6188,6190,6192,6194,6196,6198,6200,6202,6204,6206,6208,6210,6212,6214,6216,6218,6220,6222,6224,6226,6228,6230,6232,6234,6236,6238,6240,6242,6244,6246,6248,6250,6252,6254,6256,6258,6260,6262,6264,6266,6268,6270,6272,6274,6276,6278,6280,6282,6284,6286,6288,6290,6292,6294,6296,6298,6300,6302,6304,6306,6308,6310,6312,6314,6316,6318,6320,6322,6324,6326,6328,6330,6332,6334,6336,6338,6340,6342,6344,6346,6348,6350,6352,6354,6356,6358,6360,6362,6364,6366,6368,6370,6372,6374,6376,6378,6380,6382,6384,6386,6388,6390,6392,6394,6396,6398,6400,6402,6404,6406,6408,6410,6412,6414,6416,6418,6420,6422,6424,6426,6428,6430,6432,6434,6436,6438,6440,6442,6444,6446,6448,6450,6452,6454,6456,6458,6460,6462,6464,6466,6468,6470,6472,6474,6476,6478,6480,6482,6484,6486,6488,6490,6492,6494,6496,6498,6500,6502,6504,6506,6508,6510,6512],{"categories":102},[67],{"categories":104},[105],"Developer Productivity",{"categories":107},[67],{"categories":109},[110],"Business & SaaS",{"categories":112},[67],{"categories":114},[115],"AI Automation",{"categories":117},[118],"Product Strategy",{"categories":120},[67],{"categories":122},[105],{"categories":124},[115],{"categories":126},[127],"Software Engineering",{"categories":129},[67],{"categories":131},[110],{"categories":133},[],{"categories":135},[67],{"categories":137},[138],"Inference & Serving",{"categories":140},[67],{"categories":142},[67],{"categories":144},[115],{"categories":146},[],{"categories":148},[149],"AI News & Trends",{"categories":151},[152],"Data Science & Visualization",{"categories":154},[115],{"categories":156},[67],{"categories":158},[67],{"categories":160},[110],{"categories":162},[105],{"categories":164},[67],{"categories":166},[115],{"categories":168},[149],{"categories":170},[115],{"categories":172},[115],{"categories":174},[67],{"categories":176},[115],{"categories":178},[67],{"categories":180},[67],{"categories":182},[67],{"categories":184},[149],{"categories":186},[67],{"categories":188},[67],{"categories":190},[67],{"categories":192},[],{"categories":194},[195],"Design & Frontend",{"categories":197},[152],{"categories":199},[149],{"categories":201},[67],{"categories":203},[67],{"categories":205},[67],{"categories":207},[],{"categories":209},[67],{"categories":211},[67],{"categories":213},[115],{"categories":215},[127],{"categories":217},[67],{"categories":219},[115],{"categories":221},[67],{"categories":223},[224],"Marketing & Growth",{"categories":226},[195],{"categories":228},[67],{"categories":230},[115],{"categories":232},[67],{"categories":234},[127],{"categories":236},[],{"categories":238},[],{"categories":240},[195],{"categories":242},[67],{"categories":244},[115],{"categories":246},[105],{"categories":248},[127],{"categories":250},[115],{"categories":252},[195],{"categories":254},[118],{"categories":256},[67],{"categories":258},[127],{"categories":260},[261],"DevOps & Cloud",{"categories":263},[115],{"categories":265},[118],{"categories":267},[149],{"categories":269},[67],{"categories":271},[],{"categories":273},[67],{"categories":275},[67],{"categories":277},[],{"categories":279},[115],{"categories":281},[127],{"categories":283},[],{"categories":285},[127],{"categories":287},[67],{"categories":289},[290],"Governance & Standards",{"categories":292},[110],{"categories":294},[],{"categories":296},[],{"categories":298},[67],{"categories":300},[67],{"categories":302},[115],{"categories":304},[67],{"categories":306},[67],{"categories":308},[115],{"categories":310},[67],{"categories":312},[67],{"categories":314},[67],{"categories":316},[],{"categories":318},[127],{"categories":320},[],{"categories":322},[],{"categories":324},[67],{"categories":326},[127],{"categories":328},[],{"categories":330},[127],{"categories":332},[67],{"categories":334},[67],{"categories":336},[224],{"categories":338},[67],{"categories":340},[67],{"categories":342},[195],{"categories":344},[195],{"categories":346},[67],{"categories":348},[127],{"categories":350},[115],{"categories":352},[353],"GovTech & Public-Sector Adoption",{"categories":355},[127],{"categories":357},[67],{"categories":359},[67],{"categories":361},[67],{"categories":363},[115],{"categories":365},[115],{"categories":367},[152],{"categories":369},[67],{"categories":371},[149],{"categories":373},[115],{"categories":375},[376],"Legal AI Tools",{"categories":378},[67],{"categories":380},[115],{"categories":382},[67],{"categories":384},[224],{"categories":386},[115],{"categories":388},[118],{"categories":390},[67],{"categories":392},[127],{"categories":394},[353],{"categories":396},[],{"categories":398},[115],{"categories":400},[],{"categories":402},[110],{"categories":404},[115],{"categories":406},[115],{"categories":408},[409],"RAG & Retrieval",{"categories":411},[110],{"categories":413},[67],{"categories":415},[127],{"categories":417},[127],{"categories":419},[261],{"categories":421},[195],{"categories":423},[115],{"categories":425},[67],{"categories":427},[67],{"categories":429},[],{"categories":431},[432],"Agents & Orchestration",{"categories":434},[127],{"categories":436},[67],{"categories":438},[],{"categories":440},[115],{"categories":442},[110],{"categories":444},[],{"categories":446},[67],{"categories":448},[],{"categories":450},[67],{"categories":452},[105],{"categories":454},[127],{"categories":456},[110],{"categories":458},[67],{"categories":460},[115],{"categories":462},[67],{"categories":464},[149],{"categories":466},[67],{"categories":468},[],{"categories":470},[67],{"categories":472},[],{"categories":474},[127],{"categories":476},[67],{"categories":478},[152],{"categories":480},[],{"categories":482},[67],{"categories":484},[195],{"categories":486},[487],"Models & Frontier Labs",{"categories":489},[],{"categories":491},[195],{"categories":493},[494],"Regulation & Governance of AI",{"categories":496},[115],{"categories":498},[],{"categories":500},[67],{"categories":502},[67],{"categories":504},[115],{"categories":506},[149],{"categories":508},[110],{"categories":510},[67],{"categories":512},[],{"categories":514},[127],{"categories":516},[115],{"categories":518},[67],{"categories":520},[118],{"categories":522},[523],"AI Policy & Regulation",{"categories":525},[],{"categories":527},[67],{"categories":529},[115],{"categories":531},[118],{"categories":533},[115],{"categories":535},[67],{"categories":537},[67],{"categories":539},[67],{"categories":541},[115],{"categories":543},[],{"categories":545},[152],{"categories":547},[548],"Evals & Reliability",{"categories":550},[67],{"categories":552},[67],{"categories":554},[],{"categories":556},[105],{"categories":558},[353],{"categories":560},[523],{"categories":562},[67],{"categories":564},[110],{"categories":566},[67],{"categories":568},[115],{"categories":570},[67],{"categories":572},[115],{"categories":574},[432],{"categories":576},[67],{"categories":578},[127],{"categories":580},[67],{"categories":582},[],{"categories":584},[],{"categories":586},[67],{"categories":588},[353],{"categories":590},[67],{"categories":592},[67],{"categories":594},[67],{"categories":596},[],{"categories":598},[195],{"categories":600},[],{"categories":602},[67],{"categories":604},[],{"categories":606},[115],{"categories":608},[67],{"categories":610},[195],{"categories":612},[],{"categories":614},[67],{"categories":616},[67],{"categories":618},[152],{"categories":620},[115],{"categories":622},[67],{"categories":624},[110],{"categories":626},[115],{"categories":628},[67],{"categories":630},[67],{"categories":632},[127],{"categories":634},[195],{"categories":636},[67],{"categories":638},[115],{"categories":640},[],{"categories":642},[127],{"categories":644},[115],{"categories":646},[152],{"categories":648},[],{"categories":650},[67],{"categories":652},[149],{"categories":654},[67],{"categories":656},[],{"categories":658},[67],{"categories":660},[67],{"categories":662},[67],{"categories":664},[110,224],{"categories":666},[],{"categories":668},[67],{"categories":670},[67],{"categories":672},[115],{"categories":674},[67],{"categories":676},[],{"categories":678},[],{"categories":680},[67],{"categories":682},[195],{"categories":684},[67],{"categories":686},[],{"categories":688},[67],{"categories":690},[261],{"categories":692},[],{"categories":694},[115],{"categories":696},[149],{"categories":698},[67],{"categories":700},[67],{"categories":702},[195],{"categories":704},[],{"categories":706},[149],{"categories":708},[67],{"categories":710},[138],{"categories":712},[67],{"categories":714},[67],{"categories":716},[115],{"categories":718},[149],{"categories":720},[487],{"categories":722},[67],{"categories":724},[224],{"categories":726},[],{"categories":728},[115],{"categories":730},[110],{"categories":732},[127],{"categories":734},[67],{"categories":736},[115],{"categories":738},[],{"categories":740},[67,261],{"categories":742},[67],{"categories":744},[67],{"categories":746},[67],{"categories":748},[115],{"categories":750},[67,127],{"categories":752},[152],{"categories":754},[67],{"categories":756},[67],{"categories":758},[127],{"categories":760},[67],{"categories":762},[115],{"categories":764},[523],{"categories":766},[224],{"categories":768},[67],{"categories":770},[115],{"categories":772},[67],{"categories":774},[67],{"categories":776},[115],{"categories":778},[],{"categories":780},[115],{"categories":782},[67],{"categories":784},[67],{"categories":786},[115],{"categories":788},[67],{"categories":790},[67,110],{"categories":792},[67],{"categories":794},[110],{"categories":796},[],{"categories":798},[195],{"categories":800},[195],{"categories":802},[67],{"categories":804},[],{"categories":806},[],{"categories":808},[67],{"categories":810},[149],{"categories":812},[],{"categories":814},[105],{"categories":816},[67],{"categories":818},[127],{"categories":820},[67],{"categories":822},[823],"Generative UI & Design-to-Code",{"categories":825},[67],{"categories":827},[67],{"categories":829},[195],{"categories":831},[67],{"categories":833},[834],"Algorithmic Accountability",{"categories":836},[115],{"categories":838},[127],{"categories":840},[149],{"categories":842},[195],{"categories":844},[67],{"categories":846},[],{"categories":848},[118],{"categories":850},[67],{"categories":852},[67],{"categories":854},[67],{"categories":856},[115],{"categories":858},[859],"MLOps & Infrastructure",{"categories":861},[67],{"categories":863},[67],{"categories":865},[67],{"categories":867},[67],{"categories":869},[67],{"categories":871},[149],{"categories":873},[118],{"categories":875},[105],{"categories":877},[67],{"categories":879},[115],{"categories":881},[261],{"categories":883},[67],{"categories":885},[110],{"categories":887},[67],{"categories":889},[195],{"categories":891},[67],{"categories":893},[67],{"categories":895},[115],{"categories":897},[],{"categories":899},[],{"categories":901},[67],{"categories":903},[138],{"categories":905},[195],{"categories":907},[149],{"categories":909},[152],{"categories":911},[],{"categories":913},[67],{"categories":915},[67],{"categories":917},[110],{"categories":919},[115],{"categories":921},[67],{"categories":923},[67],{"categories":925},[67],{"categories":927},[67],{"categories":929},[149],{"categories":931},[138],{"categories":933},[67],{"categories":935},[195],{"categories":937},[67],{"categories":939},[],{"categories":941},[115],{"categories":943},[127],{"categories":945},[],{"categories":947},[67],{"categories":949},[67],{"categories":951},[115],{"categories":953},[127],{"categories":955},[67],{"categories":957},[152],{"categories":959},[],{"categories":961},[67],{"categories":963},[],{"categories":965},[67],{"categories":967},[],{"categories":969},[118],{"categories":971},[110],{"categories":973},[115],{"categories":975},[115],{"categories":977},[],{"categories":979},[105],{"categories":981},[67],{"categories":983},[67],{"categories":985},[110],{"categories":987},[149],{"categories":989},[105],{"categories":991},[],{"categories":993},[67],{"categories":995},[],{"categories":997},[],{"categories":999},[149],{"categories":1001},[149],{"categories":1003},[],{"categories":1005},[432],{"categories":1007},[67],{"categories":1009},[195],{"categories":1011},[127],{"categories":1013},[],{"categories":1015},[376],{"categories":1017},[115],{"categories":1019},[110],{"categories":1021},[],{"categories":1023},[],{"categories":1025},[105],{"categories":1027},[152],{"categories":1029},[],{"categories":1031},[224],{"categories":1033},[115],{"categories":1035},[110],{"categories":1037},[115],{"categories":1039},[110],{"categories":1041},[67],{"categories":1043},[127],{"categories":1045},[],{"categories":1047},[138],{"categories":1049},[118],{"categories":1051},[67],{"categories":1053},[195],{"categories":1055},[127],{"categories":1057},[110],{"categories":1059},[67],{"categories":1061},[115],{"categories":1063},[110],{"categories":1065},[67],{"categories":1067},[67],{"categories":1069},[67],{"categories":1071},[67],{"categories":1073},[67],{"categories":1075},[],{"categories":1077},[],{"categories":1079},[127],{"categories":1081},[152],{"categories":1083},[118],{"categories":1085},[67],{"categories":1087},[115],{"categories":1089},[127],{"categories":1091},[67],{"categories":1093},[],{"categories":1095},[149],{"categories":1097},[118],{"categories":1099},[127],{"categories":1101},[67],{"categories":1103},[548],{"categories":1105},[261],{"categories":1107},[],{"categories":1109},[115],{"categories":1111},[67],{"categories":1113},[],{"categories":1115},[105],{"categories":1117},[],{"categories":1119},[67],{"categories":1121},[67],{"categories":1123},[67],{"categories":1125},[195],{"categories":1127},[224],{"categories":1129},[67],{"categories":1131},[127],{"categories":1133},[67],{"categories":1135},[115],{"categories":1137},[],{"categories":1139},[127],{"categories":1141},[67],{"categories":1143},[105],{"categories":1145},[],{"categories":1147},[110],{"categories":1149},[67],{"categories":1151},[149],{"categories":1153},[67,261],{"categories":1155},[67],{"categories":1157},[1158],"Design Systems for AI",{"categories":1160},[67],{"categories":1162},[67],{"categories":1164},[149],{"categories":1166},[67],{"categories":1168},[67],{"categories":1170},[67],{"categories":1172},[110],{"categories":1174},[67],{"categories":1176},[67],{"categories":1178},[67],{"categories":1180},[],{"categories":1182},[67],{"categories":1184},[67],{"categories":1186},[110],{"categories":1188},[67],{"categories":1190},[],{"categories":1192},[115],{"categories":1194},[127],{"categories":1196},[149],{"categories":1198},[127],{"categories":1200},[67],{"categories":1202},[195],{"categories":1204},[149],{"categories":1206},[152],{"categories":1208},[67],{"categories":1210},[67],{"categories":1212},[115],{"categories":1214},[105],{"categories":1216},[523],{"categories":1218},[67],{"categories":1220},[115],{"categories":1222},[67],{"categories":1224},[127],{"categories":1226},[127],{"categories":1228},[],{"categories":1230},[],{"categories":1232},[115],{"categories":1234},[118],{"categories":1236},[],{"categories":1238},[110],{"categories":1240},[67],{"categories":1242},[],{"categories":1244},[195],{"categories":1246},[115],{"categories":1248},[127],{"categories":1250},[195],{"categories":1252},[67],{"categories":1254},[67],{"categories":1256},[195],{"categories":1258},[],{"categories":1260},[],{"categories":1262},[149],{"categories":1264},[115],{"categories":1266},[115],{"categories":1268},[67],{"categories":1270},[67],{"categories":1272},[67],{"categories":1274},[67],{"categories":1276},[110],{"categories":1278},[67],{"categories":1280},[67],{"categories":1282},[],{"categories":1284},[127],{"categories":1286},[127],{"categories":1288},[67],{"categories":1290},[127],{"categories":1292},[110],{"categories":1294},[],{"categories":1296},[67],{"categories":1298},[67],{"categories":1300},[67],{"categories":1302},[67],{"categories":1304},[67],{"categories":1306},[115],{"categories":1308},[105],{"categories":1310},[110],{"categories":1312},[67],{"categories":1314},[115],{"categories":1316},[149],{"categories":1318},[115],{"categories":1320},[138],{"categories":1322},[224],{"categories":1324},[67],{"categories":1326},[115],{"categories":1328},[67],{"categories":1330},[67],{"categories":1332},[],{"categories":1334},[195],{"categories":1336},[],{"categories":1338},[67],{"categories":1340},[67],{"categories":1342},[],{"categories":1344},[127],{"categories":1346},[110],{"categories":1348},[1349],"Visual & Generative Media",{"categories":1351},[115],{"categories":1353},[],{"categories":1355},[67],{"categories":1357},[67],{"categories":1359},[127],{"categories":1361},[261],{"categories":1363},[152],{"categories":1365},[523],{"categories":1367},[127],{"categories":1369},[224],{"categories":1371},[67],{"categories":1373},[195],{"categories":1375},[67],{"categories":1377},[67],{"categories":1379},[127],{"categories":1381},[115],{"categories":1383},[67],{"categories":1385},[],{"categories":1387},[],{"categories":1389},[115],{"categories":1391},[127],{"categories":1393},[105],{"categories":1395},[115],{"categories":1397},[487],{"categories":1399},[67],{"categories":1401},[118],{"categories":1403},[67],{"categories":1405},[110],{"categories":1407},[],{"categories":1409},[67],{"categories":1411},[118],{"categories":1413},[67],{"categories":1415},[67],{"categories":1417},[67],{"categories":1419},[118],{"categories":1421},[67],{"categories":1423},[67],{"categories":1425},[224],{"categories":1427},[67],{"categories":1429},[432],{"categories":1431},[67],{"categories":1433},[115],{"categories":1435},[67],{"categories":1437},[67],{"categories":1439},[67],{"categories":1441},[67],{"categories":1443},[195],{"categories":1445},[115],{"categories":1447},[],{"categories":1449},[115],{"categories":1451},[],{"categories":1453},[261],{"categories":1455},[127],{"categories":1457},[],{"categories":1459},[487],{"categories":1461},[67],{"categories":1463},[115],{"categories":1465},[67],{"categories":1467},[195,67],{"categories":1469},[105],{"categories":1471},[67],{"categories":1473},[195],{"categories":1475},[],{"categories":1477},[67],{"categories":1479},[105],{"categories":1481},[1482],"Medical Imaging & Radiology",{"categories":1484},[67],{"categories":1486},[195],{"categories":1488},[115],{"categories":1490},[127],{"categories":1492},[],{"categories":1494},[67],{"categories":1496},[67],{"categories":1498},[67],{"categories":1500},[],{"categories":1502},[],{"categories":1504},[67],{"categories":1506},[432],{"categories":1508},[67],{"categories":1510},[105],{"categories":1512},[67],{"categories":1514},[67],{"categories":1516},[],{"categories":1518},[115],{"categories":1520},[67],{"categories":1522},[118],{"categories":1524},[127],{"categories":1526},[67],{"categories":1528},[432],{"categories":1530},[67],{"categories":1532},[115],{"categories":1534},[67],{"categories":1536},[67],{"categories":1538},[67],{"categories":1540},[195],{"categories":1542},[115],{"categories":1544},[261],{"categories":1546},[195],{"categories":1548},[110],{"categories":1550},[115],{"categories":1552},[149],{"categories":1554},[67],{"categories":1556},[67],{"categories":1558},[118],{"categories":1560},[67],{"categories":1562},[67],{"categories":1564},[67],{"categories":1566},[115],{"categories":1568},[127],{"categories":1570},[127],{"categories":1572},[67],{"categories":1574},[118],{"categories":1576},[],{"categories":1578},[149],{"categories":1580},[],{"categories":1582},[118],{"categories":1584},[115],{"categories":1586},[67],{"categories":1588},[115],{"categories":1590},[1158],{"categories":1592},[1158],{"categories":1594},[195],{"categories":1596},[67],{"categories":1598},[67],{"categories":1600},[115],{"categories":1602},[127],{"categories":1604},[195],{"categories":1606},[115],{"categories":1608},[149],{"categories":1610},[],{"categories":1612},[67],{"categories":1614},[],{"categories":1616},[67],{"categories":1618},[67],{"categories":1620},[67],{"categories":1622},[67],{"categories":1624},[115],{"categories":1626},[1627],"Contract Review & E-Discovery",{"categories":1629},[67],{"categories":1631},[195],{"categories":1633},[67],{"categories":1635},[105],{"categories":1637},[67],{"categories":1639},[149],{"categories":1641},[67],{"categories":1643},[67],{"categories":1645},[224],{"categories":1647},[127],{"categories":1649},[67],{"categories":1651},[67],{"categories":1653},[115],{"categories":1655},[115],{"categories":1657},[834],{"categories":1659},[67],{"categories":1661},[67],{"categories":1663},[115],{"categories":1665},[115],{"categories":1667},[67],{"categories":1669},[67],{"categories":1671},[115],{"categories":1673},[67],{"categories":1675},[67],{"categories":1677},[432],{"categories":1679},[409],{"categories":1681},[67],{"categories":1683},[115],{"categories":1685},[67],{"categories":1687},[1688],"Law-Firm Practice & Adoption",{"categories":1690},[67],{"categories":1692},[115],{"categories":1694},[195],{"categories":1696},[67],{"categories":1698},[67],{"categories":1700},[67],{"categories":1702},[],{"categories":1704},[],{"categories":1706},[127],{"categories":1708},[67],{"categories":1710},[],{"categories":1712},[115],{"categories":1714},[105],{"categories":1716},[261],{"categories":1718},[67],{"categories":1720},[],{"categories":1722},[105],{"categories":1724},[110],{"categories":1726},[67],{"categories":1728},[224],{"categories":1730},[],{"categories":1732},[110],{"categories":1734},[110],{"categories":1736},[],{"categories":1738},[67],{"categories":1740},[118],{"categories":1742},[67],{"categories":1744},[127],{"categories":1746},[],{"categories":1748},[],{"categories":1750},[],{"categories":1752},[],{"categories":1754},[67],{"categories":1756},[115],{"categories":1758},[261],{"categories":1760},[67],{"categories":1762},[105],{"categories":1764},[127],{"categories":1766},[67],{"categories":1768},[67],{"categories":1770},[127],{"categories":1772},[118],{"categories":1774},[67],{"categories":1776},[67],{"categories":1778},[67],{"categories":1780},[859],{"categories":1782},[67],{"categories":1784},[67],{"categories":1786},[224],{"categories":1788},[127],{"categories":1790},[110],{"categories":1792},[67],{"categories":1794},[67],{"categories":1796},[195],{"categories":1798},[67],{"categories":1800},[67],{"categories":1802},[67],{"categories":1804},[67],{"categories":1806},[115],{"categories":1808},[67,105],{"categories":1810},[432],{"categories":1812},[67],{"categories":1814},[67],{"categories":1816},[127],{"categories":1818},[127],{"categories":1820},[195],{"categories":1822},[115],{"categories":1824},[127],{"categories":1826},[67],{"categories":1828},[67],{"categories":1830},[],{"categories":1832},[],{"categories":1834},[67],{"categories":1836},[115],{"categories":1838},[],{"categories":1840},[67],{"categories":1842},[127],{"categories":1844},[152],{"categories":1846},[149],{"categories":1848},[195],{"categories":1850},[67],{"categories":1852},[67],{"categories":1854},[127],{"categories":1856},[],{"categories":1858},[115],{"categories":1860},[67],{"categories":1862},[67],{"categories":1864},[67],{"categories":1866},[67],{"categories":1868},[],{"categories":1870},[115],{"categories":1872},[67],{"categories":1874},[67],{"categories":1876},[],{"categories":1878},[115],{"categories":1880},[67],{"categories":1882},[67],{"categories":1884},[110],{"categories":1886},[67],{"categories":1888},[67],{"categories":1890},[],{"categories":1892},[105],{"categories":1894},[67],{"categories":1896},[67],{"categories":1898},[195],{"categories":1900},[127],{"categories":1902},[67],{"categories":1904},[105],{"categories":1906},[67],{"categories":1908},[127],{"categories":1910},[224],{"categories":1912},[115],{"categories":1914},[115],{"categories":1916},[67],{"categories":1918},[67],{"categories":1920},[67,195],{"categories":1922},[67],{"categories":1924},[115],{"categories":1926},[149],{"categories":1928},[67],{"categories":1930},[149],{"categories":1932},[115],{"categories":1934},[195],{"categories":1936},[67],{"categories":1938},[],{"categories":1940},[127],{"categories":1942},[261],{"categories":1944},[195],{"categories":1946},[127],{"categories":1948},[67],{"categories":1950},[118],{"categories":1952},[67],{"categories":1954},[67],{"categories":1956},[115],{"categories":1958},[],{"categories":1960},[],{"categories":1962},[67],{"categories":1964},[],{"categories":1966},[],{"categories":1968},[118],{"categories":1970},[127],{"categories":1972},[67],{"categories":1974},[115],{"categories":1976},[115],{"categories":1978},[110],{"categories":1980},[115],{"categories":1982},[261],{"categories":1984},[67],{"categories":1986},[67],{"categories":1988},[67],{"categories":1990},[138],{"categories":1992},[67],{"categories":1994},[67],{"categories":1996},[127],{"categories":1998},[115],{"categories":2000},[67],{"categories":2002},[67],{"categories":2004},[376],{"categories":2006},[834],{"categories":2008},[],{"categories":2010},[195],{"categories":2012},[1688],{"categories":2014},[127],{"categories":2016},[],{"categories":2018},[],{"categories":2020},[115],{"categories":2022},[],{"categories":2024},[],{"categories":2026},[67],{"categories":2028},[224],{"categories":2030},[67],{"categories":2032},[224],{"categories":2034},[115],{"categories":2036},[67],{"categories":2038},[127],{"categories":2040},[118],{"categories":2042},[],{"categories":2044},[67],{"categories":2046},[67],{"categories":2048},[127],{"categories":2050},[1627],{"categories":2052},[195],{"categories":2054},[195],{"categories":2056},[67],{"categories":2058},[115],{"categories":2060},[105],{"categories":2062},[67],{"categories":2064},[67],{"categories":2066},[67],{"categories":2068},[195],{"categories":2070},[195],{"categories":2072},[115],{"categories":2074},[115],{"categories":2076},[115],{"categories":2078},[67],{"categories":2080},[67],{"categories":2082},[],{"categories":2084},[67],{"categories":2086},[],{"categories":2088},[2089],"Interaction & Product Design",{"categories":2091},[67],{"categories":2093},[115],{"categories":2095},[127],{"categories":2097},[290],{"categories":2099},[149],{"categories":2101},[127],{"categories":2103},[67],{"categories":2105},[67],{"categories":2107},[127],{"categories":2109},[105],{"categories":2111},[115],{"categories":2113},[67],{"categories":2115},[],{"categories":2117},[115],{"categories":2119},[115],{"categories":2121},[],{"categories":2123},[127],{"categories":2125},[67],{"categories":2127},[105],{"categories":2129},[2089],{"categories":2131},[67],{"categories":2133},[105],{"categories":2135},[105],{"categories":2137},[],{"categories":2139},[115],{"categories":2141},[127],{"categories":2143},[],{"categories":2145},[115],{"categories":2147},[149],{"categories":2149},[67],{"categories":2151},[115],{"categories":2153},[67],{"categories":2155},[115],{"categories":2157},[67],{"categories":2159},[67],{"categories":2161},[149],{"categories":2163},[152],{"categories":2165},[67],{"categories":2167},[118],{"categories":2169},[127],{"categories":2171},[2172],"Coding Agents & Dev Productivity",{"categories":2174},[149],{"categories":2176},[195],{"categories":2178},[67],{"categories":2180},[67],{"categories":2182},[],{"categories":2184},[67],{"categories":2186},[834],{"categories":2188},[],{"categories":2190},[67],{"categories":2192},[261],{"categories":2194},[67],{"categories":2196},[149],{"categories":2198},[],{"categories":2200},[],{"categories":2202},[67],{"categories":2204},[],{"categories":2206},[115],{"categories":2208},[67],{"categories":2210},[],{"categories":2212},[127],{"categories":2214},[127],{"categories":2216},[67],{"categories":2218},[152],{"categories":2220},[],{"categories":2222},[67],{"categories":2224},[67],{"categories":2226},[67],{"categories":2228},[152],{"categories":2230},[127],{"categories":2232},[115],{"categories":2234},[],{"categories":2236},[],{"categories":2238},[67],{"categories":2240},[67],{"categories":2242},[115],{"categories":2244},[115],{"categories":2246},[353],{"categories":2248},[127],{"categories":2250},[127],{"categories":2252},[115],{"categories":2254},[149],{"categories":2256},[149],{"categories":2258},[115],{"categories":2260},[115],{"categories":2262},[67],{"categories":2264},[105],{"categories":2266},[2089],{"categories":2268},[67,261],{"categories":2270},[152],{"categories":2272},[],{"categories":2274},[195],{"categories":2276},[127],{"categories":2278},[105],{"categories":2280},[67],{"categories":2282},[115],{"categories":2284},[2285],"The Designer's Role & Craft",{"categories":2287},[195],{"categories":2289},[],{"categories":2291},[115],{"categories":2293},[67],{"categories":2295},[115],{"categories":2297},[115],{"categories":2299},[67],{"categories":2301},[224],{"categories":2303},[67],{"categories":2305},[127],{"categories":2307},[67],{"categories":2309},[195],{"categories":2311},[67],{"categories":2313},[],{"categories":2315},[115],{"categories":2317},[195],{"categories":2319},[67],{"categories":2321},[67],{"categories":2323},[67],{"categories":2325},[2326],"AI UX Patterns",{"categories":2328},[115],{"categories":2330},[115],{"categories":2332},[115],{"categories":2334},[115],{"categories":2336},[224],{"categories":2338},[152],{"categories":2340},[67],{"categories":2342},[115],{"categories":2344},[67],{"categories":2346},[1158],{"categories":2348},[],{"categories":2350},[224],{"categories":2352},[115],{"categories":2354},[149],{"categories":2356},[127],{"categories":2358},[67],{"categories":2360},[115],{"categories":2362},[],{"categories":2364},[],{"categories":2366},[67],{"categories":2368},[115],{"categories":2370},[67],{"categories":2372},[115],{"categories":2374},[353],{"categories":2376},[195],{"categories":2378},[67],{"categories":2380},[149],{"categories":2382},[127],{"categories":2384},[67],{"categories":2386},[115],{"categories":2388},[115],{"categories":2390},[],{"categories":2392},[67],{"categories":2394},[],{"categories":2396},[],{"categories":2398},[67],{"categories":2400},[67],{"categories":2402},[67],{"categories":2404},[115],{"categories":2406},[127],{"categories":2408},[],{"categories":2410},[],{"categories":2412},[152],{"categories":2414},[138],{"categories":2416},[67],{"categories":2418},[67],{"categories":2420},[152],{"categories":2422},[67],{"categories":2424},[149],{"categories":2426},[67],{"categories":2428},[67],{"categories":2430},[67],{"categories":2432},[115],{"categories":2434},[67],{"categories":2436},[115],{"categories":2438},[67],{"categories":2440},[67],{"categories":2442},[115],{"categories":2444},[],{"categories":2446},[],{"categories":2448},[67],{"categories":2450},[261],{"categories":2452},[67],{"categories":2454},[],{"categories":2456},[],{"categories":2458},[195],{"categories":2460},[859],{"categories":2462},[115],{"categories":2464},[105],{"categories":2466},[2285],{"categories":2468},[],{"categories":2470},[],{"categories":2472},[67],{"categories":2474},[],{"categories":2476},[],{"categories":2478},[127],{"categories":2480},[149],{"categories":2482},[224],{"categories":2484},[110],{"categories":2486},[67],{"categories":2488},[67],{"categories":2490},[110],{"categories":2492},[],{"categories":2494},[195],{"categories":2496},[118],{"categories":2498},[67],{"categories":2500},[67],{"categories":2502},[115],{"categories":2504},[110],{"categories":2506},[67],{"categories":2508},[67],{"categories":2510},[105],{"categories":2512},[67],{"categories":2514},[],{"categories":2516},[105],{"categories":2518},[67],{"categories":2520},[224],{"categories":2522},[115],{"categories":2524},[149],{"categories":2526},[67],{"categories":2528},[127],{"categories":2530},[67],{"categories":2532},[67],{"categories":2534},[110],{"categories":2536},[67],{"categories":2538},[67],{"categories":2540},[67],{"categories":2542},[115],{"categories":2544},[],{"categories":2546},[67],{"categories":2548},[127],{"categories":2550},[105],{"categories":2552},[67],{"categories":2554},[67],{"categories":2556},[67],{"categories":2558},[],{"categories":2560},[67],{"categories":2562},[432],{"categories":2564},[115],{"categories":2566},[110],{"categories":2568},[149],{"categories":2570},[67],{"categories":2572},[67],{"categories":2574},[],{"categories":2576},[110],{"categories":2578},[110],{"categories":2580},[67],{"categories":2582},[67],{"categories":2584},[118],{"categories":2586},[67],{"categories":2588},[67],{"categories":2590},[67],{"categories":2592},[67],{"categories":2594},[127],{"categories":2596},[127],{"categories":2598},[67],{"categories":2600},[],{"categories":2602},[127],{"categories":2604},[67],{"categories":2606},[127],{"categories":2608},[115],{"categories":2610},[523],{"categories":2612},[],{"categories":2614},[],{"categories":2616},[67],{"categories":2618},[149],{"categories":2620},[],{"categories":2622},[261],{"categories":2624},[67],{"categories":2626},[67],{"categories":2628},[195],{"categories":2630},[823],{"categories":2632},[],{"categories":2634},[67],{"categories":2636},[67],{"categories":2638},[67],{"categories":2640},[127],{"categories":2642},[67],{"categories":2644},[67],{"categories":2646},[67,261],{"categories":2648},[67],{"categories":2650},[67],{"categories":2652},[195],{"categories":2654},[115],{"categories":2656},[],{"categories":2658},[115],{"categories":2660},[115],{"categories":2662},[67],{"categories":2664},[67],{"categories":2666},[67],{"categories":2668},[67],{"categories":2670},[152],{"categories":2672},[67],{"categories":2674},[2326],{"categories":2676},[105],{"categories":2678},[152],{"categories":2680},[105],{"categories":2682},[127],{"categories":2684},[195],{"categories":2686},[115],{"categories":2688},[67],{"categories":2690},[],{"categories":2692},[110],{"categories":2694},[67],{"categories":2696},[67],{"categories":2698},[149],{"categories":2700},[67],{"categories":2702},[67],{"categories":2704},[115],{"categories":2706},[67],{"categories":2708},[67],{"categories":2710},[67],{"categories":2712},[110],{"categories":2714},[],{"categories":2716},[261],{"categories":2718},[67],{"categories":2720},[353],{"categories":2722},[195],{"categories":2724},[195],{"categories":2726},[127],{"categories":2728},[115],{"categories":2730},[67],{"categories":2732},[110],{"categories":2734},[149],{"categories":2736},[67],{"categories":2738},[67],{"categories":2740},[195],{"categories":2742},[115],{"categories":2744},[115],{"categories":2746},[67],{"categories":2748},[67],{"categories":2750},[487],{"categories":2752},[],{"categories":2754},[67],{"categories":2756},[67],{"categories":2758},[67],{"categories":2760},[],{"categories":2762},[],{"categories":2764},[67],{"categories":2766},[67],{"categories":2768},[115],{"categories":2770},[67],{"categories":2772},[67],{"categories":2774},[67],{"categories":2776},[127],{"categories":2778},[67],{"categories":2780},[67],{"categories":2782},[115],{"categories":2784},[67],{"categories":2786},[67],{"categories":2788},[67],{"categories":2790},[67],{"categories":2792},[67],{"categories":2794},[],{"categories":2796},[127],{"categories":2798},[152],{"categories":2800},[67],{"categories":2802},[115],{"categories":2804},[67],{"categories":2806},[],{"categories":2808},[],{"categories":2810},[67],{"categories":2812},[67],{"categories":2814},[67],{"categories":2816},[149],{"categories":2818},[152],{"categories":2820},[],{"categories":2822},[67],{"categories":2824},[195],{"categories":2826},[67],{"categories":2828},[261],{"categories":2830},[1688],{"categories":2832},[149],{"categories":2834},[127],{"categories":2836},[127],{"categories":2838},[127],{"categories":2840},[67],{"categories":2842},[67],{"categories":2844},[149],{"categories":2846},[149],{"categories":2848},[261],{"categories":2850},[115],{"categories":2852},[],{"categories":2854},[149],{"categories":2856},[67],{"categories":2858},[105],{"categories":2860},[127],{"categories":2862},[67],{"categories":2864},[149],{"categories":2866},[],{"categories":2868},[67],{"categories":2870},[127],{"categories":2872},[127],{"categories":2874},[152],{"categories":2876},[67],{"categories":2878},[149],{"categories":2880},[67],{"categories":2882},[127],{"categories":2884},[115],{"categories":2886},[149],{"categories":2888},[115],{"categories":2890},[261],{"categories":2892},[115],{"categories":2894},[67],{"categories":2896},[67],{"categories":2898},[67],{"categories":2900},[67],{"categories":2902},[127],{"categories":2904},[67],{"categories":2906},[],{"categories":2908},[115],{"categories":2910},[110],{"categories":2912},[127],{"categories":2914},[],{"categories":2916},[],{"categories":2918},[67],{"categories":2920},[115],{"categories":2922},[67],{"categories":2924},[67],{"categories":2926},[2927],"Frameworks & Tooling",{"categories":2929},[67],{"categories":2931},[67],{"categories":2933},[127],{"categories":2935},[67],{"categories":2937},[67],{"categories":2939},[],{"categories":2941},[152],{"categories":2943},[152],{"categories":2945},[105],{"categories":2947},[67],{"categories":2949},[115],{"categories":2951},[67],{"categories":2953},[195],{"categories":2955},[],{"categories":2957},[1688],{"categories":2959},[67],{"categories":2961},[127],{"categories":2963},[67],{"categories":2965},[261],{"categories":2967},[261],{"categories":2969},[],{"categories":2971},[115],{"categories":2973},[67],{"categories":2975},[149],{"categories":2977},[149],{"categories":2979},[67],{"categories":2981},[115],{"categories":2983},[],{"categories":2985},[195],{"categories":2987},[67],{"categories":2989},[67],{"categories":2991},[],{"categories":2993},[67],{"categories":2995},[115],{"categories":2997},[67],{"categories":2999},[67],{"categories":3001},[],{"categories":3003},[127],{"categories":3005},[67],{"categories":3007},[127],{"categories":3009},[261],{"categories":3011},[67],{"categories":3013},[67],{"categories":3015},[127],{"categories":3017},[110],{"categories":3019},[67],{"categories":3021},[1688],{"categories":3023},[],{"categories":3025},[115],{"categories":3027},[105],{"categories":3029},[67],{"categories":3031},[105],{"categories":3033},[67],{"categories":3035},[],{"categories":3037},[115],{"categories":3039},[67],{"categories":3041},[3042],"AI Design Tooling",{"categories":3044},[195],{"categories":3046},[67],{"categories":3048},[67],{"categories":3050},[127],{"categories":3052},[195],{"categories":3054},[67],{"categories":3056},[127],{"categories":3058},[149],{"categories":3060},[118],{"categories":3062},[127],{"categories":3064},[67],{"categories":3066},[67],{"categories":3068},[115],{"categories":3070},[67],{"categories":3072},[],{"categories":3074},[67],{"categories":3076},[67],{"categories":3078},[115],{"categories":3080},[67],{"categories":3082},[67],{"categories":3084},[67],{"categories":3086},[115],{"categories":3088},[],{"categories":3090},[115],{"categories":3092},[2927],{"categories":3094},[67],{"categories":3096},[67],{"categories":3098},[115],{"categories":3100},[115],{"categories":3102},[127],{"categories":3104},[127],{"categories":3106},[],{"categories":3108},[127],{"categories":3110},[67],{"categories":3112},[67],{"categories":3114},[115],{"categories":3116},[110],{"categories":3118},[67],{"categories":3120},[],{"categories":3122},[67],{"categories":3124},[67],{"categories":3126},[2089],{"categories":3128},[],{"categories":3130},[67],{"categories":3132},[67],{"categories":3134},[67],{"categories":3136},[67],{"categories":3138},[195],{"categories":3140},[67],{"categories":3142},[],{"categories":3144},[67],{"categories":3146},[67],{"categories":3148},[67],{"categories":3150},[224],{"categories":3152},[149],{"categories":3154},[67],{"categories":3156},[67],{"categories":3158},[1688],{"categories":3160},[105],{"categories":3162},[67],{"categories":3164},[67],{"categories":3166},[152],{"categories":3168},[67],{"categories":3170},[67],{"categories":3172},[149],{"categories":3174},[115],{"categories":3176},[],{"categories":3178},[67],{"categories":3180},[67],{"categories":3182},[195],{"categories":3184},[67],{"categories":3186},[224],{"categories":3188},[67],{"categories":3190},[115],{"categories":3192},[],{"categories":3194},[],{"categories":3196},[],{"categories":3198},[105],{"categories":3200},[149],{"categories":3202},[115],{"categories":3204},[67],{"categories":3206},[67],{"categories":3208},[67],{"categories":3210},[67],{"categories":3212},[376],{"categories":3214},[195],{"categories":3216},[115],{"categories":3218},[67],{"categories":3220},[],{"categories":3222},[115],{"categories":3224},[115],{"categories":3226},[],{"categories":3228},[67],{"categories":3230},[115],{"categories":3232},[67],{"categories":3234},[],{"categories":3236},[67],{"categories":3238},[67],{"categories":3240},[149],{"categories":3242},[195],{"categories":3244},[115],{"categories":3246},[195],{"categories":3248},[115],{"categories":3250},[67],{"categories":3252},[110],{"categories":3254},[],{"categories":3256},[],{"categories":3258},[67],{"categories":3260},[67],{"categories":3262},[105],{"categories":3264},[115],{"categories":3266},[149],{"categories":3268},[],{"categories":3270},[195],{"categories":3272},[],{"categories":3274},[127],{"categories":3276},[67],{"categories":3278},[127],{"categories":3280},[195],{"categories":3282},[127],{"categories":3284},[67],{"categories":3286},[],{"categories":3288},[67],{"categories":3290},[67],{"categories":3292},[],{"categories":3294},[67],{"categories":3296},[224],{"categories":3298},[67],{"categories":3300},[261],{"categories":3302},[127],{"categories":3304},[67],{"categories":3306},[],{"categories":3308},[115],{"categories":3310},[67],{"categories":3312},[105],{"categories":3314},[487],{"categories":3316},[67],{"categories":3318},[115],{"categories":3320},[67],{"categories":3322},[115],{"categories":3324},[67],{"categories":3326},[67],{"categories":3328},[67],{"categories":3330},[],{"categories":3332},[67],{"categories":3334},[105],{"categories":3336},[67],{"categories":3338},[110],{"categories":3340},[127],{"categories":3342},[195],{"categories":3344},[],{"categories":3346},[67],{"categories":3348},[],{"categories":3350},[],{"categories":3352},[115],{"categories":3354},[67],{"categories":3356},[127],{"categories":3358},[195],{"categories":3360},[149],{"categories":3362},[67],{"categories":3364},[149],{"categories":3366},[115],{"categories":3368},[195],{"categories":3370},[67],{"categories":3372},[],{"categories":3374},[67],{"categories":3376},[138],{"categories":3378},[115],{"categories":3380},[195],{"categories":3382},[149],{"categories":3384},[110],{"categories":3386},[127],{"categories":3388},[67],{"categories":3390},[67],{"categories":3392},[149],{"categories":3394},[224],{"categories":3396},[],{"categories":3398},[],{"categories":3400},[152],{"categories":3402},[432],{"categories":3404},[67],{"categories":3406},[115],{"categories":3408},[67,127],{"categories":3410},[149],{"categories":3412},[67],{"categories":3414},[67],{"categories":3416},[67],{"categories":3418},[67],{"categories":3420},[115],{"categories":3422},[67],{"categories":3424},[115],{"categories":3426},[67],{"categories":3428},[67],{"categories":3430},[67],{"categories":3432},[],{"categories":3434},[67],{"categories":3436},[1158],{"categories":3438},[127],{"categories":3440},[195],{"categories":3442},[67],{"categories":3444},[67],{"categories":3446},[67],{"categories":3448},[152],{"categories":3450},[115],{"categories":3452},[224],{"categories":3454},[261],{"categories":3456},[],{"categories":3458},[67],{"categories":3460},[110],{"categories":3462},[115],{"categories":3464},[105],{"categories":3466},[115],{"categories":3468},[67],{"categories":3470},[115],{"categories":3472},[115],{"categories":3474},[118],{"categories":3476},[127],{"categories":3478},[67],{"categories":3480},[67],{"categories":3482},[],{"categories":3484},[],{"categories":3486},[],{"categories":3488},[261],{"categories":3490},[67],{"categories":3492},[149],{"categories":3494},[67],{"categories":3496},[67],{"categories":3498},[67],{"categories":3500},[67],{"categories":3502},[],{"categories":3504},[67],{"categories":3506},[152],{"categories":3508},[110],{"categories":3510},[115],{"categories":3512},[67],{"categories":3514},[],{"categories":3516},[67],{"categories":3518},[115],{"categories":3520},[67],{"categories":3522},[261],{"categories":3524},[],{"categories":3526},[195],{"categories":3528},[195],{"categories":3530},[],{"categories":3532},[127],{"categories":3534},[67],{"categories":3536},[195],{"categories":3538},[67],{"categories":3540},[110],{"categories":3542},[115],{"categories":3544},[67],{"categories":3546},[],{"categories":3548},[149],{"categories":3550},[67],{"categories":3552},[67],{"categories":3554},[67],{"categories":3556},[195],{"categories":3558},[115],{"categories":3560},[149],{"categories":3562},[],{"categories":3564},[115],{"categories":3566},[110],{"categories":3568},[115],{"categories":3570},[195],{"categories":3572},[67],{"categories":3574},[67],{"categories":3576},[67],{"categories":3578},[432],{"categories":3580},[67],{"categories":3582},[],{"categories":3584},[67],{"categories":3586},[67],{"categories":3588},[261],{"categories":3590},[149],{"categories":3592},[152],{"categories":3594},[523],{"categories":3596},[152],{"categories":3598},[67],{"categories":3600},[],{"categories":3602},[],{"categories":3604},[],{"categories":3606},[115],{"categories":3608},[115],{"categories":3610},[127],{"categories":3612},[67],{"categories":3614},[409],{"categories":3616},[127],{"categories":3618},[67],{"categories":3620},[67],{"categories":3622},[67],{"categories":3624},[67],{"categories":3626},[115],{"categories":3628},[],{"categories":3630},[],{"categories":3632},[67],{"categories":3634},[],{"categories":3636},[67],{"categories":3638},[115],{"categories":3640},[195],{"categories":3642},[67],{"categories":3644},[67],{"categories":3646},[],{"categories":3648},[115],{"categories":3650},[118],{"categories":3652},[67],{"categories":3654},[195],{"categories":3656},[67],{"categories":3658},[115],{"categories":3660},[110],{"categories":3662},[67],{"categories":3664},[224],{"categories":3666},[115],{"categories":3668},[67],{"categories":3670},[67],{"categories":3672},[823],{"categories":3674},[67],{"categories":3676},[115],{"categories":3678},[67],{"categories":3680},[127],{"categories":3682},[67],{"categories":3684},[487],{"categories":3686},[195],{"categories":3688},[],{"categories":3690},[67],{"categories":3692},[149],{"categories":3694},[432],{"categories":3696},[115],{"categories":3698},[67],{"categories":3700},[],{"categories":3702},[149],{"categories":3704},[353],{"categories":3706},[115],{"categories":3708},[115],{"categories":3710},[115],{"categories":3712},[67],{"categories":3714},[67],{"categories":3716},[115],{"categories":3718},[],{"categories":3720},[110],{"categories":3722},[67],{"categories":3724},[110],{"categories":3726},[115],{"categories":3728},[],{"categories":3730},[127],{"categories":3732},[67],{"categories":3734},[67],{"categories":3736},[105],{"categories":3738},[149],{"categories":3740},[261],{"categories":3742},[138],{"categories":3744},[115],{"categories":3746},[115],{"categories":3748},[67],{"categories":3750},[115],{"categories":3752},[67],{"categories":3754},[105],{"categories":3756},[],{"categories":3758},[67],{"categories":3760},[67],{"categories":3762},[67],{"categories":3764},[115],{"categories":3766},[67],{"categories":3768},[],{"categories":3770},[],{"categories":3772},[195],{"categories":3774},[115],{"categories":3776},[67,110],{"categories":3778},[115],{"categories":3780},[67],{"categories":3782},[],{"categories":3784},[105],{"categories":3786},[152],{"categories":3788},[110],{"categories":3790},[67],{"categories":3792},[127],{"categories":3794},[67],{"categories":3796},[67],{"categories":3798},[115],{"categories":3800},[67],{"categories":3802},[67],{"categories":3804},[67],{"categories":3806},[149],{"categories":3808},[1158],{"categories":3810},[115],{"categories":3812},[67],{"categories":3814},[],{"categories":3816},[],{"categories":3818},[67],{"categories":3820},[115],{"categories":3822},[67],{"categories":3824},[67],{"categories":3826},[261],{"categories":3828},[],{"categories":3830},[67],{"categories":3832},[115],{"categories":3834},[138],{"categories":3836},[115],{"categories":3838},[432],{"categories":3840},[],{"categories":3842},[376],{"categories":3844},[115],{"categories":3846},[67],{"categories":3848},[224],{"categories":3850},[115],{"categories":3852},[67],{"categories":3854},[152],{"categories":3856},[115],{"categories":3858},[67],{"categories":3860},[432],{"categories":3862},[67],{"categories":3864},[261],{"categories":3866},[],{"categories":3868},[67],{"categories":3870},[224],{"categories":3872},[195],{"categories":3874},[67],{"categories":3876},[67],{"categories":3878},[67],{"categories":3880},[],{"categories":3882},[224],{"categories":3884},[149],{"categories":3886},[67],{"categories":3888},[67],{"categories":3890},[67],{"categories":3892},[523],{"categories":3894},[105],{"categories":3896},[67],{"categories":3898},[67],{"categories":3900},[],{"categories":3902},[],{"categories":3904},[195],{"categories":3906},[67],{"categories":3908},[152],{"categories":3910},[224],{"categories":3912},[115],{"categories":3914},[67],{"categories":3916},[67],{"categories":3918},[224],{"categories":3920},[149],{"categories":3922},[],{"categories":3924},[67],{"categories":3926},[67],{"categories":3928},[],{"categories":3930},[67],{"categories":3932},[67],{"categories":3934},[548],{"categories":3936},[67],{"categories":3938},[67],{"categories":3940},[115],{"categories":3942},[127],{"categories":3944},[432],{"categories":3946},[67],{"categories":3948},[67],{"categories":3950},[67],{"categories":3952},[],{"categories":3954},[67,127],{"categories":3956},[149],{"categories":3958},[115],{"categories":3960},[127],{"categories":3962},[115],{"categories":3964},[859],{"categories":3966},[127],{"categories":3968},[115],{"categories":3970},[67],{"categories":3972},[105],{"categories":3974},[],{"categories":3976},[],{"categories":3978},[115],{"categories":3980},[67],{"categories":3982},[127],{"categories":3984},[67],{"categories":3986},[105],{"categories":3988},[127],{"categories":3990},[127],{"categories":3992},[67],{"categories":3994},[224],{"categories":3996},[67],{"categories":3998},[127],{"categories":4000},[67],{"categories":4002},[],{"categories":4004},[67],{"categories":4006},[195,67],{"categories":4008},[261],{"categories":4010},[105],{"categories":4012},[67],{"categories":4014},[],{"categories":4016},[67],{"categories":4018},[67],{"categories":4020},[110],{"categories":4022},[67],{"categories":4024},[110],{"categories":4026},[67],{"categories":4028},[67],{"categories":4030},[353],{"categories":4032},[67],{"categories":4034},[110],{"categories":4036},[127],{"categories":4038},[152],{"categories":4040},[115],{"categories":4042},[127],{"categories":4044},[67],{"categories":4046},[67],{"categories":4048},[149],{"categories":4050},[224],{"categories":4052},[195],{"categories":4054},[67],{"categories":4056},[67],{"categories":4058},[67],{"categories":4060},[67],{"categories":4062},[105],{"categories":4064},[67],{"categories":4066},[115],{"categories":4068},[115],{"categories":4070},[127],{"categories":4072},[149],{"categories":4074},[127],{"categories":4076},[127],{"categories":4078},[67],{"categories":4080},[67],{"categories":4082},[],{"categories":4084},[],{"categories":4086},[152],{"categories":4088},[67],{"categories":4090},[127],{"categories":4092},[67],{"categories":4094},[195],{"categories":4096},[432],{"categories":4098},[376],{"categories":4100},[353],{"categories":4102},[67],{"categories":4104},[67],{"categories":4106},[67],{"categories":4108},[152],{"categories":4110},[67],{"categories":4112},[67],{"categories":4114},[67],{"categories":4116},[67],{"categories":4118},[67],{"categories":4120},[67],{"categories":4122},[115],{"categories":4124},[105],{"categories":4126},[115],{"categories":4128},[67,110],{"categories":4130},[],{"categories":4132},[195],{"categories":4134},[],{"categories":4136},[118],{"categories":4138},[67],{"categories":4140},[149],{"categories":4142},[105],{"categories":4144},[67],{"categories":4146},[105],{"categories":4148},[115],{"categories":4150},[152],{"categories":4152},[115],{"categories":4154},[115],{"categories":4156},[67],{"categories":4158},[67],{"categories":4160},[110],{"categories":4162},[115],{"categories":4164},[127],{"categories":4166},[224],{"categories":4168},[67],{"categories":4170},[],{"categories":4172},[149],{"categories":4174},[67],{"categories":4176},[67],{"categories":4178},[67],{"categories":4180},[67],{"categories":4182},[67],{"categories":4184},[67],{"categories":4186},[127],{"categories":4188},[149],{"categories":4190},[127],{"categories":4192},[127],{"categories":4194},[67],{"categories":4196},[67],{"categories":4198},[67],{"categories":4200},[376],{"categories":4202},[67],{"categories":4204},[115],{"categories":4206},[149],{"categories":4208},[67],{"categories":4210},[67],{"categories":4212},[67],{"categories":4214},[115],{"categories":4216},[67],{"categories":4218},[67],{"categories":4220},[67],{"categories":4222},[2927],{"categories":4224},[4225],"Clinical AI",{"categories":4227},[195],{"categories":4229},[67],{"categories":4231},[67],{"categories":4233},[67],{"categories":4235},[261],{"categories":4237},[2326],{"categories":4239},[67],{"categories":4241},[118],{"categories":4243},[67],{"categories":4245},[115],{"categories":4247},[67],{"categories":4249},[67],{"categories":4251},[149],{"categories":4253},[67],{"categories":4255},[115],{"categories":4257},[127],{"categories":4259},[224],{"categories":4261},[67],{"categories":4263},[67],{"categories":4265},[110],{"categories":4267},[67],{"categories":4269},[67],{"categories":4271},[487],{"categories":4273},[67],{"categories":4275},[],{"categories":4277},[67],{"categories":4279},[127],{"categories":4281},[105],{"categories":4283},[67],{"categories":4285},[],{"categories":4287},[],{"categories":4289},[67],{"categories":4291},[],{"categories":4293},[110],{"categories":4295},[67],{"categories":4297},[67],{"categories":4299},[115],{"categories":4301},[149],{"categories":4303},[149],{"categories":4305},[149],{"categories":4307},[149],{"categories":4309},[],{"categories":4311},[105],{"categories":4313},[115],{"categories":4315},[149],{"categories":4317},[67],{"categories":4319},[548],{"categories":4321},[118],{"categories":4323},[67],{"categories":4325},[105],{"categories":4327},[67],{"categories":4329},[115],{"categories":4331},[67],{"categories":4333},[67],{"categories":4335},[67,115],{"categories":4337},[115],{"categories":4339},[261],{"categories":4341},[149],{"categories":4343},[115],{"categories":4345},[149],{"categories":4347},[115],{"categories":4349},[67],{"categories":4351},[],{"categories":4353},[149],{"categories":4355},[224],{"categories":4357},[105],{"categories":4359},[67],{"categories":4361},[67],{"categories":4363},[],{"categories":4365},[127],{"categories":4367},[],{"categories":4369},[105],{"categories":4371},[115],{"categories":4373},[149],{"categories":4375},[67],{"categories":4377},[149],{"categories":4379},[105],{"categories":4381},[149],{"categories":4383},[149],{"categories":4385},[],{"categories":4387},[110],{"categories":4389},[115],{"categories":4391},[149],{"categories":4393},[149],{"categories":4395},[149],{"categories":4397},[149],{"categories":4399},[149],{"categories":4401},[149],{"categories":4403},[149],{"categories":4405},[149],{"categories":4407},[149],{"categories":4409},[149],{"categories":4411},[152],{"categories":4413},[105],{"categories":4415},[67],{"categories":4417},[67],{"categories":4419},[115],{"categories":4421},[115],{"categories":4423},[],{"categories":4425},[67],{"categories":4427},[67,105],{"categories":4429},[],{"categories":4431},[115],{"categories":4433},[67],{"categories":4435},[149],{"categories":4437},[115],{"categories":4439},[859],{"categories":4441},[67],{"categories":4443},[67],{"categories":4445},[67],{"categories":4447},[67],{"categories":4449},[67],{"categories":4451},[353],{"categories":4453},[67],{"categories":4455},[67],{"categories":4457},[115],{"categories":4459},[67],{"categories":4461},[110],{"categories":4463},[118],{"categories":4465},[115],{"categories":4467},[115],{"categories":4469},[],{"categories":4471},[115],{"categories":4473},[195],{"categories":4475},[149],{"categories":4477},[67],{"categories":4479},[],{"categories":4481},[118],{"categories":4483},[],{"categories":4485},[127],{"categories":4487},[115],{"categories":4489},[195],{"categories":4491},[67],{"categories":4493},[],{"categories":4495},[67],{"categories":4497},[],{"categories":4499},[224],{"categories":4501},[67],{"categories":4503},[],{"categories":4505},[],{"categories":4507},[149],{"categories":4509},[105],{"categories":4511},[67],{"categories":4513},[67],{"categories":4515},[110],{"categories":4517},[67],{"categories":4519},[67],{"categories":4521},[67],{"categories":4523},[110],{"categories":4525},[110],{"categories":4527},[195],{"categories":4529},[],{"categories":4531},[67],{"categories":4533},[149],{"categories":4535},[],{"categories":4537},[67],{"categories":4539},[67],{"categories":4541},[195],{"categories":4543},[67],{"categories":4545},[224],{"categories":4547},[67],{"categories":4549},[261],{"categories":4551},[],{"categories":4553},[115],{"categories":4555},[224],{"categories":4557},[127],{"categories":4559},[],{"categories":4561},[67],{"categories":4563},[],{"categories":4565},[115],{"categories":4567},[195],{"categories":4569},[127],{"categories":4571},[],{"categories":4573},[2927],{"categories":4575},[110],{"categories":4577},[105],{"categories":4579},[67],{"categories":4581},[152],{"categories":4583},[115],{"categories":4585},[195],{"categories":4587},[127],{"categories":4589},[],{"categories":4591},[],{"categories":4593},[67],{"categories":4595},[105],{"categories":4597},[67],{"categories":4599},[224],{"categories":4601},[],{"categories":4603},[115],{"categories":4605},[115],{"categories":4607},[67],{"categories":4609},[115],{"categories":4611},[67],{"categories":4613},[149],{"categories":4615},[127],{"categories":4617},[67],{"categories":4619},[115],{"categories":4621},[118],{"categories":4623},[67],{"categories":4625},[67],{"categories":4627},[115],{"categories":4629},[67],{"categories":4631},[118],{"categories":4633},[224],{"categories":4635},[149],{"categories":4637},[],{"categories":4639},[224],{"categories":4641},[67],{"categories":4643},[],{"categories":4645},[127],{"categories":4647},[115],{"categories":4649},[],{"categories":4651},[67],{"categories":4653},[67],{"categories":4655},[67],{"categories":4657},[67],{"categories":4659},[67],{"categories":4661},[115],{"categories":4663},[110],{"categories":4665},[105],{"categories":4667},[67],{"categories":4669},[195],{"categories":4671},[127],{"categories":4673},[127],{"categories":4675},[67],{"categories":4677},[152],{"categories":4679},[115],{"categories":4681},[67],{"categories":4683},[67],{"categories":4685},[115],{"categories":4687},[67],{"categories":4689},[110],{"categories":4691},[195],{"categories":4693},[127],{"categories":4695},[115],{"categories":4697},[67],{"categories":4699},[118],{"categories":4701},[67],{"categories":4703},[115],{"categories":4705},[67],{"categories":4707},[67],{"categories":4709},[149],{"categories":4711},[67],{"categories":4713},[],{"categories":4715},[105],{"categories":4717},[67],{"categories":4719},[67],{"categories":4721},[67],{"categories":4723},[127],{"categories":4725},[127],{"categories":4727},[67],{"categories":4729},[127],{"categories":4731},[67],{"categories":4733},[115],{"categories":4735},[67],{"categories":4737},[67],{"categories":4739},[67],{"categories":4741},[67],{"categories":4743},[67],{"categories":4745},[],{"categories":4747},[67],{"categories":4749},[195],{"categories":4751},[110],{"categories":4753},[149],{"categories":4755},[67],{"categories":4757},[115],{"categories":4759},[67],{"categories":4761},[115],{"categories":4763},[67],{"categories":4765},[67],{"categories":4767},[195],{"categories":4769},[115],{"categories":4771},[67],{"categories":4773},[224],{"categories":4775},[67],{"categories":4777},[152],{"categories":4779},[67],{"categories":4781},[67],{"categories":4783},[149],{"categories":4785},[67],{"categories":4787},[67],{"categories":4789},[67],{"categories":4791},[67],{"categories":4793},[115],{"categories":4795},[261],{"categories":4797},[67],{"categories":4799},[127],{"categories":4801},[115],{"categories":4803},[152],{"categories":4805},[],{"categories":4807},[115],{"categories":4809},[127],{"categories":4811},[67],{"categories":4813},[67],{"categories":4815},[2172],{"categories":4817},[195],{"categories":4819},[290],{"categories":4821},[67],{"categories":4823},[67],{"categories":4825},[67],{"categories":4827},[67],{"categories":4829},[105],{"categories":4831},[67],{"categories":4833},[67],{"categories":4835},[127],{"categories":4837},[110],{"categories":4839},[127],{"categories":4841},[67],{"categories":4843},[],{"categories":4845},[115],{"categories":4847},[115],{"categories":4849},[67],{"categories":4851},[67],{"categories":4853},[152],{"categories":4855},[],{"categories":4857},[149],{"categories":4859},[],{"categories":4861},[149],{"categories":4863},[67],{"categories":4865},[67],{"categories":4867},[115],{"categories":4869},[67],{"categories":4871},[115],{"categories":4873},[115],{"categories":4875},[],{"categories":4877},[149],{"categories":4879},[67],{"categories":4881},[],{"categories":4883},[67],{"categories":4885},[67],{"categories":4887},[],{"categories":4889},[67],{"categories":4891},[195],{"categories":4893},[127],{"categories":4895},[115],{"categories":4897},[67],{"categories":4899},[67],{"categories":4901},[67],{"categories":4903},[224],{"categories":4905},[67],{"categories":4907},[67],{"categories":4909},[67],{"categories":4911},[105],{"categories":4913},[67],{"categories":4915},[67],{"categories":4917},[],{"categories":4919},[67],{"categories":4921},[67],{"categories":4923},[],{"categories":4925},[105],{"categories":4927},[67],{"categories":4929},[149],{"categories":4931},[127],{"categories":4933},[118],{"categories":4935},[432],{"categories":4937},[67],{"categories":4939},[67],{"categories":4941},[67],{"categories":4943},[127],{"categories":4945},[149],{"categories":4947},[195],{"categories":4949},[67],{"categories":4951},[67],{"categories":4953},[67],{"categories":4955},[67],{"categories":4957},[149],{"categories":4959},[195],{"categories":4961},[67],{"categories":4963},[67],{"categories":4965},[149],{"categories":4967},[195],{"categories":4969},[67],{"categories":4971},[149],{"categories":4973},[67],{"categories":4975},[115],{"categories":4977},[115],{"categories":4979},[115],{"categories":4981},[127],{"categories":4983},[149],{"categories":4985},[115],{"categories":4987},[115],{"categories":4989},[67],{"categories":4991},[127],{"categories":4993},[195],{"categories":4995},[67],{"categories":4997},[67],{"categories":4999},[67],{"categories":5001},[],{"categories":5003},[115],{"categories":5005},[],{"categories":5007},[67],{"categories":5009},[67],{"categories":5011},[],{"categories":5013},[],{"categories":5015},[115],{"categories":5017},[110],{"categories":5019},[115],{"categories":5021},[5022],"Liability & Ethics",{"categories":5024},[67],{"categories":5026},[67],{"categories":5028},[115],{"categories":5030},[105],{"categories":5032},[115],{"categories":5034},[110],{"categories":5036},[224],{"categories":5038},[115],{"categories":5040},[67],{"categories":5042},[67],{"categories":5044},[],{"categories":5046},[523],{"categories":5048},[115],{"categories":5050},[],{"categories":5052},[67],{"categories":5054},[105],{"categories":5056},[115],{"categories":5058},[],{"categories":5060},[115],{"categories":5062},[67],{"categories":5064},[67],{"categories":5066},[127],{"categories":5068},[67],{"categories":5070},[149],{"categories":5072},[67],{"categories":5074},[67],{"categories":5076},[115],{"categories":5078},[67],{"categories":5080},[67],{"categories":5082},[67],{"categories":5084},[149],{"categories":5086},[115],{"categories":5088},[127],{"categories":5090},[195],{"categories":5092},[105],{"categories":5094},[67],{"categories":5096},[67],{"categories":5098},[],{"categories":5100},[115],{"categories":5102},[115],{"categories":5104},[115],{"categories":5106},[432],{"categories":5108},[195],{"categories":5110},[115],{"categories":5112},[261],{"categories":5114},[127],{"categories":5116},[149],{"categories":5118},[67],{"categories":5120},[195],{"categories":5122},[67],{"categories":5124},[105],{"categories":5126},[],{"categories":5128},[115],{"categories":5130},[67],{"categories":5132},[67],{"categories":5134},[67],{"categories":5136},[115],{"categories":5138},[67],{"categories":5140},[195],{"categories":5142},[],{"categories":5144},[115],{"categories":5146},[118],{"categories":5148},[149],{"categories":5150},[115],{"categories":5152},[110],{"categories":5154},[],{"categories":5156},[67],{"categories":5158},[67],{"categories":5160},[118],{"categories":5162},[67],{"categories":5164},[115],{"categories":5166},[149],{"categories":5168},[105],{"categories":5170},[261],{"categories":5172},[67],{"categories":5174},[67],{"categories":5176},[67],{"categories":5178},[149],{"categories":5180},[110],{"categories":5182},[67],{"categories":5184},[195],{"categories":5186},[149],{"categories":5188},[261],{"categories":5190},[67],{"categories":5192},[115],{"categories":5194},[],{"categories":5196},[487],{"categories":5198},[],{"categories":5200},[67],{"categories":5202},[261],{"categories":5204},[67],{"categories":5206},[152],{"categories":5208},[115],{"categories":5210},[115],{"categories":5212},[5213],"Design News & Tools",{"categories":5215},[67],{"categories":5217},[149],{"categories":5219},[67],{"categories":5221},[67],{"categories":5223},[105],{"categories":5225},[67],{"categories":5227},[195],{"categories":5229},[115],{"categories":5231},[115],{"categories":5233},[195],{"categories":5235},[67],{"categories":5237},[432],{"categories":5239},[115],{"categories":5241},[67],{"categories":5243},[67],{"categories":5245},[432],{"categories":5247},[67],{"categories":5249},[224],{"categories":5251},[67],{"categories":5253},[115],{"categories":5255},[],{"categories":5257},[67],{"categories":5259},[67],{"categories":5261},[67],{"categories":5263},[149],{"categories":5265},[105],{"categories":5267},[],{"categories":5269},[67],{"categories":5271},[67],{"categories":5273},[67],{"categories":5275},[127],{"categories":5277},[548],{"categories":5279},[127],{"categories":5281},[195],{"categories":5283},[67],{"categories":5285},[67,115],{"categories":5287},[224,110],{"categories":5289},[127],{"categories":5291},[67],{"categories":5293},[67],{"categories":5295},[67],{"categories":5297},[67],{"categories":5299},[],{"categories":5301},[115],{"categories":5303},[67],{"categories":5305},[],{"categories":5307},[67],{"categories":5309},[127],{"categories":5311},[67],{"categories":5313},[127],{"categories":5315},[],{"categories":5317},[115],{"categories":5319},[67],{"categories":5321},[110],{"categories":5323},[67],{"categories":5325},[149],{"categories":5327},[67],{"categories":5329},[],{"categories":5331},[115],{"categories":5333},[67],{"categories":5335},[],{"categories":5337},[195],{"categories":5339},[67],{"categories":5341},[67],{"categories":5343},[115],{"categories":5345},[67],{"categories":5347},[67],{"categories":5349},[105],{"categories":5351},[115],{"categories":5353},[67],{"categories":5355},[],{"categories":5357},[261],{"categories":5359},[224],{"categories":5361},[110],{"categories":5363},[110],{"categories":5365},[67],{"categories":5367},[105],{"categories":5369},[105],{"categories":5371},[67],{"categories":5373},[115],{"categories":5375},[67],{"categories":5377},[67],{"categories":5379},[67],{"categories":5381},[67],{"categories":5383},[127],{"categories":5385},[67],{"categories":5387},[105],{"categories":5389},[67],{"categories":5391},[115],{"categories":5393},[67],{"categories":5395},[224],{"categories":5397},[67],{"categories":5399},[149],{"categories":5401},[67],{"categories":5403},[67],{"categories":5405},[115],{"categories":5407},[67],{"categories":5409},[115],{"categories":5411},[],{"categories":5413},[127],{"categories":5415},[],{"categories":5417},[127],{"categories":5419},[115],{"categories":5421},[105],{"categories":5423},[],{"categories":5425},[152],{"categories":5427},[261],{"categories":5429},[67],{"categories":5431},[127],{"categories":5433},[67],{"categories":5435},[],{"categories":5437},[149],{"categories":5439},[115],{"categories":5441},[127],{"categories":5443},[195],{"categories":5445},[67],{"categories":5447},[67],{"categories":5449},[115],{"categories":5451},[127],{"categories":5453},[115],{"categories":5455},[149],{"categories":5457},[67],{"categories":5459},[118],{"categories":5461},[105],{"categories":5463},[118],{"categories":5465},[149],{"categories":5467},[67],{"categories":5469},[127],{"categories":5471},[67],{"categories":5473},[195],{"categories":5475},[110],{"categories":5477},[67],{"categories":5479},[67],{"categories":5481},[67],{"categories":5483},[67],{"categories":5485},[67],{"categories":5487},[67],{"categories":5489},[115],{"categories":5491},[67],{"categories":5493},[115],{"categories":5495},[67],{"categories":5497},[67],{"categories":5499},[105],{"categories":5501},[67],{"categories":5503},[115],{"categories":5505},[115],{"categories":5507},[195],{"categories":5509},[115],{"categories":5511},[115],{"categories":5513},[105],{"categories":5515},[115],{"categories":5517},[195],{"categories":5519},[],{"categories":5521},[67],{"categories":5523},[152],{"categories":5525},[432],{"categories":5527},[67],{"categories":5529},[67],{"categories":5531},[67],{"categories":5533},[127],{"categories":5535},[67],{"categories":5537},[],{"categories":5539},[67],{"categories":5541},[115],{"categories":5543},[67],{"categories":5545},[224],{"categories":5547},[67],{"categories":5549},[149],{"categories":5551},[115],{"categories":5553},[67],{"categories":5555},[224],{"categories":5557},[115],{"categories":5559},[110],{"categories":5561},[110],{"categories":5563},[67],{"categories":5565},[67],{"categories":5567},[67],{"categories":5569},[67],{"categories":5571},[67],{"categories":5573},[105],{"categories":5575},[],{"categories":5577},[67],{"categories":5579},[67],{"categories":5581},[115],{"categories":5583},[115],{"categories":5585},[67],{"categories":5587},[67],{"categories":5589},[67],{"categories":5591},[127],{"categories":5593},[],{"categories":5595},[105],{"categories":5597},[67],{"categories":5599},[67],{"categories":5601},[115],{"categories":5603},[115],{"categories":5605},[],{"categories":5607},[127],{"categories":5609},[127],{"categories":5611},[67],{"categories":5613},[224],{"categories":5615},[110],{"categories":5617},[195],{"categories":5619},[],{"categories":5621},[67],{"categories":5623},[115],{"categories":5625},[105],{"categories":5627},[67],{"categories":5629},[67],{"categories":5631},[127],{"categories":5633},[105],{"categories":5635},[67],{"categories":5637},[67],{"categories":5639},[149],{"categories":5641},[152],{"categories":5643},[149],{"categories":5645},[115],{"categories":5647},[67],{"categories":5649},[],{"categories":5651},[149],{"categories":5653},[115],{"categories":5655},[195],{"categories":5657},[152],{"categories":5659},[67],{"categories":5661},[67],{"categories":5663},[],{"categories":5665},[115],{"categories":5667},[115],{"categories":5669},[115],{"categories":5671},[2927],{"categories":5673},[149],{"categories":5675},[67],{"categories":5677},[127],{"categories":5679},[67],{"categories":5681},[67],{"categories":5683},[67],{"categories":5685},[67],{"categories":5687},[110],{"categories":5689},[67],{"categories":5691},[105],{"categories":5693},[1688],{"categories":5695},[261],{"categories":5697},[105],{"categories":5699},[],{"categories":5701},[67],{"categories":5703},[],{"categories":5705},[149],{"categories":5707},[115],{"categories":5709},[195],{"categories":5711},[67],{"categories":5713},[67],{"categories":5715},[149],{"categories":5717},[],{"categories":5719},[115],{"categories":5721},[115],{"categories":5723},[115],{"categories":5725},[],{"categories":5727},[67],{"categories":5729},[],{"categories":5731},[149],{"categories":5733},[105],{"categories":5735},[195],{"categories":5737},[67],{"categories":5739},[115],{"categories":5741},[149],{"categories":5743},[67],{"categories":5745},[149],{"categories":5747},[],{"categories":5749},[149],{"categories":5751},[105],{"categories":5753},[432],{"categories":5755},[115],{"categories":5757},[67],{"categories":5759},[],{"categories":5761},[127],{"categories":5763},[115],{"categories":5765},[118],{"categories":5767},[115],{"categories":5769},[105],{"categories":5771},[],{"categories":5773},[],{"categories":5775},[],{"categories":5777},[195],{"categories":5779},[115],{"categories":5781},[67],{"categories":5783},[67],{"categories":5785},[],{"categories":5787},[],{"categories":5789},[],{"categories":5791},[67],{"categories":5793},[195],{"categories":5795},[67],{"categories":5797},[],{"categories":5799},[115],{"categories":5801},[67],{"categories":5803},[67],{"categories":5805},[105],{"categories":5807},[],{"categories":5809},[],{"categories":5811},[67],{"categories":5813},[195],{"categories":5815},[67],{"categories":5817},[149],{"categories":5819},[],{"categories":5821},[67],{"categories":5823},[224],{"categories":5825},[149],{"categories":5827},[224],{"categories":5829},[152],{"categories":5831},[67],{"categories":5833},[67],{"categories":5835},[],{"categories":5837},[],{"categories":5839},[115],{"categories":5841},[],{"categories":5843},[67],{"categories":5845},[432],{"categories":5847},[67],{"categories":5849},[67],{"categories":5851},[67],{"categories":5853},[67],{"categories":5855},[],{"categories":5857},[115],{"categories":5859},[67],{"categories":5861},[67],{"categories":5863},[],{"categories":5865},[115],{"categories":5867},[67],{"categories":5869},[149],{"categories":5871},[67],{"categories":5873},[224],{"categories":5875},[110],{"categories":5877},[67],{"categories":5879},[67],{"categories":5881},[115],{"categories":5883},[152],{"categories":5885},[115],{"categories":5887},[115],{"categories":5889},[],{"categories":5891},[115],{"categories":5893},[],{"categories":5895},[67],{"categories":5897},[],{"categories":5899},[149],{"categories":5901},[110],{"categories":5903},[],{"categories":5905},[67],{"categories":5907},[67],{"categories":5909},[],{"categories":5911},[195],{"categories":5913},[105],{"categories":5915},[],{"categories":5917},[110],{"categories":5919},[224],{"categories":5921},[67],{"categories":5923},[127],{"categories":5925},[105],{"categories":5927},[152],{"categories":5929},[110],{"categories":5931},[127],{"categories":5933},[115],{"categories":5935},[127],{"categories":5937},[],{"categories":5939},[67],{"categories":5941},[118],{"categories":5943},[67],{"categories":5945},[],{"categories":5947},[115],{"categories":5949},[105],{"categories":5951},[195],{"categories":5953},[67],{"categories":5955},[105],{"categories":5957},[115],{"categories":5959},[261],{"categories":5961},[67],{"categories":5963},[67],{"categories":5965},[67],{"categories":5967},[105],{"categories":5969},[152],{"categories":5971},[115],{"categories":5973},[],{"categories":5975},[67],{"categories":5977},[67],{"categories":5979},[67],{"categories":5981},[127],{"categories":5983},[115],{"categories":5985},[149],{"categories":5987},[127],{"categories":5989},[67],{"categories":5991},[118],{"categories":5993},[],{"categories":5995},[195],{"categories":5997},[127],{"categories":5999},[149],{"categories":6001},[105],{"categories":6003},[115],{"categories":6005},[67],{"categories":6007},[67],{"categories":6009},[115],{"categories":6011},[118],{"categories":6013},[67],{"categories":6015},[115],{"categories":6017},[67],{"categories":6019},[110],{"categories":6021},[115],{"categories":6023},[115,261],{"categories":6025},[67],{"categories":6027},[67],{"categories":6029},[115],{"categories":6031},[127],{"categories":6033},[67],{"categories":6035},[67],{"categories":6037},[152],{"categories":6039},[115],{"categories":6041},[224],{"categories":6043},[115],{"categories":6045},[110],{"categories":6047},[],{"categories":6049},[115],{"categories":6051},[67],{"categories":6053},[110],{"categories":6055},[],{"categories":6057},[],{"categories":6059},[127],{"categories":6061},[67],{"categories":6063},[67],{"categories":6065},[115],{"categories":6067},[152],{"categories":6069},[224],{"categories":6071},[67],{"categories":6073},[67],{"categories":6075},[115],{"categories":6077},[],{"categories":6079},[115],{"categories":6081},[149],{"categories":6083},[115],{"categories":6085},[67],{"categories":6087},[],{"categories":6089},[149],{"categories":6091},[127],{"categories":6093},[2927],{"categories":6095},[105],{"categories":6097},[127],{"categories":6099},[67],{"categories":6101},[115],{"categories":6103},[67],{"categories":6105},[67],{"categories":6107},[224],{"categories":6109},[127],{"categories":6111},[],{"categories":6113},[149],{"categories":6115},[67],{"categories":6117},[],{"categories":6119},[115],{"categories":6121},[67],{"categories":6123},[67],{"categories":6125},[67],{"categories":6127},[67],{"categories":6129},[115],{"categories":6131},[67],{"categories":6133},[67],{"categories":6135},[118],{"categories":6137},[67],{"categories":6139},[115],{"categories":6141},[67],{"categories":6143},[67],{"categories":6145},[67],{"categories":6147},[67],{"categories":6149},[67],{"categories":6151},[67],{"categories":6153},[67],{"categories":6155},[110],{"categories":6157},[],{"categories":6159},[118],{"categories":6161},[149],{"categories":6163},[115],{"categories":6165},[67],{"categories":6167},[127],{"categories":6169},[],{"categories":6171},[127],{"categories":6173},[127],{"categories":6175},[115],{"categories":6177},[127],{"categories":6179},[67],{"categories":6181},[67],{"categories":6183},[67],{"categories":6185},[115],{"categories":6187},[127],{"categories":6189},[67],{"categories":6191},[67],{"categories":6193},[67],{"categories":6195},[115],{"categories":6197},[149],{"categories":6199},[67],{"categories":6201},[67],{"categories":6203},[67],{"categories":6205},[110],{"categories":6207},[67],{"categories":6209},[115],{"categories":6211},[195],{"categories":6213},[],{"categories":6215},[67],{"categories":6217},[152],{"categories":6219},[115],{"categories":6221},[67],{"categories":6223},[67],{"categories":6225},[],{"categories":6227},[67],{"categories":6229},[67],{"categories":6231},[149],{"categories":6233},[67],{"categories":6235},[67],{"categories":6237},[115],{"categories":6239},[224],{"categories":6241},[],{"categories":6243},[],{"categories":6245},[127],{"categories":6247},[67],{"categories":6249},[149],{"categories":6251},[67],{"categories":6253},[127],{"categories":6255},[149],{"categories":6257},[67],{"categories":6259},[224],{"categories":6261},[152],{"categories":6263},[67],{"categories":6265},[67],{"categories":6267},[105],{"categories":6269},[115],{"categories":6271},[67],{"categories":6273},[67],{"categories":6275},[115],{"categories":6277},[115],{"categories":6279},[67],{"categories":6281},[110],{"categories":6283},[],{"categories":6285},[152],{"categories":6287},[67],{"categories":6289},[],{"categories":6291},[149],{"categories":6293},[67],{"categories":6295},[152],{"categories":6297},[67],{"categories":6299},[127],{"categories":6301},[127],{"categories":6303},[127],{"categories":6305},[115],{"categories":6307},[115],{"categories":6309},[67],{"categories":6311},[115],{"categories":6313},[67],{"categories":6315},[67],{"categories":6317},[195],{"categories":6319},[152],{"categories":6321},[152],{"categories":6323},[],{"categories":6325},[149],{"categories":6327},[67],{"categories":6329},[67],{"categories":6331},[127],{"categories":6333},[],{"categories":6335},[149],{"categories":6337},[149],{"categories":6339},[149],{"categories":6341},[],{"categories":6343},[115],{"categories":6345},[67],{"categories":6347},[],{"categories":6349},[105],{"categories":6351},[110],{"categories":6353},[],{"categories":6355},[67],{"categories":6357},[67],{"categories":6359},[],{"categories":6361},[127],{"categories":6363},[],{"categories":6365},[],{"categories":6367},[],{"categories":6369},[],{"categories":6371},[67],{"categories":6373},[149],{"categories":6375},[],{"categories":6377},[],{"categories":6379},[67],{"categories":6381},[67],{"categories":6383},[67],{"categories":6385},[152],{"categories":6387},[67],{"categories":6389},[152],{"categories":6391},[],{"categories":6393},[152],{"categories":6395},[152],{"categories":6397},[261],{"categories":6399},[115],{"categories":6401},[127],{"categories":6403},[],{"categories":6405},[],{"categories":6407},[152],{"categories":6409},[127],{"categories":6411},[127],{"categories":6413},[127],{"categories":6415},[],{"categories":6417},[105],{"categories":6419},[127],{"categories":6421},[127],{"categories":6423},[105],{"categories":6425},[127],{"categories":6427},[110],{"categories":6429},[127],{"categories":6431},[127],{"categories":6433},[127],{"categories":6435},[152],{"categories":6437},[149],{"categories":6439},[149],{"categories":6441},[67],{"categories":6443},[127],{"categories":6445},[152],{"categories":6447},[261],{"categories":6449},[152],{"categories":6451},[152],{"categories":6453},[152],{"categories":6455},[],{"categories":6457},[110],{"categories":6459},[],{"categories":6461},[261],{"categories":6463},[127],{"categories":6465},[127],{"categories":6467},[127],{"categories":6469},[115],{"categories":6471},[149,110],{"categories":6473},[152],{"categories":6475},[],{"categories":6477},[],{"categories":6479},[152],{"categories":6481},[],{"categories":6483},[152],{"categories":6485},[149],{"categories":6487},[115],{"categories":6489},[],{"categories":6491},[127],{"categories":6493},[67],{"categories":6495},[195],{"categories":6497},[],{"categories":6499},[67],{"categories":6501},[],{"categories":6503},[149],{"categories":6505},[105],{"categories":6507},[152],{"categories":6509},[],{"categories":6511},[127],{"categories":6513},[149],[6515,6565,6641,6712],{"id":6516,"title":6517,"ai":6518,"body":6523,"categories":6546,"created_at":68,"date_modified":68,"description":60,"extension":69,"faq":68,"featured":70,"kicker_label":68,"meta":6547,"navigation":83,"path":6555,"published_at":6556,"question":68,"scraped_at":6556,"seo":6557,"sitemap":6558,"source_id":6559,"source_name":89,"source_type":90,"source_url":6551,"stem":6560,"tags":6561,"thumbnail_url":68,"tldr":6562,"tweet":68,"unknown_tags":6563,"__hash__":6564},"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":6519,"output_tokens":6520,"processing_time_ms":6521,"cost_usd":6522},4089,453,2389,0.00170175,{"type":14,"value":6524,"toc":6542},[6525,6529,6532,6536,6539],[17,6526,6528],{"id":6527},"the-phase-transition-phenomenon-in-llm-reasoning","The Phase Transition Phenomenon in LLM Reasoning",[22,6530,6531],{},"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.",[17,6533,6535],{"id":6534},"implications-for-prompt-engineering-and-system-design","Implications for Prompt Engineering and System Design",[22,6537,6538],{},"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.",[22,6540,6541],{},"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":60,"searchDepth":61,"depth":61,"links":6543},[6544,6545],{"id":6527,"depth":61,"text":6528},{"id":6534,"depth":61,"text":6535},[67],{"content_references":6548,"triage":6553},[6549],{"type":74,"title":6550,"url":6551,"context":6552},"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":79,"novelty":80,"quality":80,"actionability":80,"composite":81,"reasoning":6554},"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.","\u002Fsummaries\u002Ff72ebdfe7d5a4bd6-llms-hit-a-hard-limit-on-multi-constraint-instruct-summary","2026-08-15 03:11:03",{"title":6517,"description":60},{"loc":6555},"f72ebdfe7d5a4bd6","summaries\u002Ff72ebdfe7d5a4bd6-llms-hit-a-hard-limit-on-multi-constraint-instruct-summary",[93,95,96],"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",{"id":6566,"title":6567,"ai":6568,"body":6573,"categories":6621,"created_at":68,"date_modified":68,"description":60,"extension":69,"faq":68,"featured":70,"kicker_label":68,"meta":6622,"navigation":83,"path":6631,"published_at":6632,"question":68,"scraped_at":6632,"seo":6633,"sitemap":6634,"source_id":6635,"source_name":89,"source_type":90,"source_url":6626,"stem":6636,"tags":6637,"thumbnail_url":68,"tldr":6638,"tweet":68,"unknown_tags":6639,"__hash__":6640},"summaries\u002Fsummaries\u002F088d25dd3ddee4a9-meta-lora-efficient-cross-domain-llm-personalizati-summary.md","Meta-LoRA: Efficient Cross-Domain LLM Personalization",{"provider":7,"model":8,"input_tokens":6569,"output_tokens":6570,"processing_time_ms":6571,"cost_usd":6572},4020,525,2367,0.0017925,{"type":14,"value":6574,"toc":6616},[6575,6579,6582,6586,6589,6609,6613],[17,6576,6578],{"id":6577},"the-challenge-of-cross-domain-personalization","The Challenge of Cross-Domain Personalization",[22,6580,6581],{},"Traditional LLM personalization often relies on domain-specific fine-tuning, which is computationally expensive and struggles to transfer user preferences from one context (e.g., shopping) to another (e.g., email writing). The core problem is that user intent is often latent and inconsistent across disparate datasets, making it difficult for models to maintain a coherent 'persona' when switching tasks.",[17,6583,6585],{"id":6584},"meta-lora-learning-to-adapt","Meta-LoRA: Learning to Adapt",[22,6587,6588],{},"Meta-LoRA addresses this by introducing a meta-learning framework applied to Low-Rank Adaptation (LoRA). Instead of training separate adapters for every domain, the model learns a shared meta-adapter space. This approach allows the system to:",[36,6590,6591,6597,6603],{},[39,6592,6593,6596],{},[42,6594,6595],{},"Generalize Preferences:"," By training on a variety of domains simultaneously, the meta-adapter identifies underlying patterns in how users express preferences, rather than just memorizing domain-specific data.",[39,6598,6599,6602],{},[42,6600,6601],{},"Efficient Adaptation:"," When faced with a new domain, the model uses the learned meta-knowledge to quickly generate or refine an adapter, significantly reducing the data requirements for effective personalization.",[39,6604,6605,6608],{},[42,6606,6607],{},"Reduced Parameter Overhead:"," By leveraging the low-rank structure of LoRA, the system maintains a small footprint, making it feasible to deploy personalized models in resource-constrained environments.",[17,6610,6612],{"id":6611},"impact-on-model-performance","Impact on Model Performance",[22,6614,6615],{},"The research demonstrates that by decoupling the learning of user preferences from the base model weights, Meta-LoRA achieves higher alignment with user intent compared to standard fine-tuning methods. This technique is particularly effective in scenarios where user data is sparse in specific domains but abundant in others, as the meta-adapter acts as a bridge to transfer knowledge across the user's entire interaction history.",{"title":60,"searchDepth":61,"depth":61,"links":6617},[6618,6619,6620],{"id":6577,"depth":61,"text":6578},{"id":6584,"depth":61,"text":6585},{"id":6611,"depth":61,"text":6612},[67],{"content_references":6623,"triage":6627},[6624],{"type":74,"title":6625,"url":6626,"context":77},"Learning to Adapt Cross-Domain Preferences via Meta-LoRA for LLM Personalization","https:\u002F\u002Farxiv.org\u002Fabs\u002F2608.12389",{"relevance":79,"novelty":80,"quality":80,"actionability":6628,"composite":6629,"reasoning":6630},3,4.15,"Category: AI & LLMs. The article presents a novel approach to LLM personalization that addresses a specific pain point of adapting models across different domains, which is highly relevant for product builders looking to implement AI features. It introduces the Meta-LoRA framework, which offers insights into efficient model adaptation, although it lacks detailed actionable steps for implementation.","\u002Fsummaries\u002F088d25dd3ddee4a9-meta-lora-efficient-cross-domain-llm-personalizati-summary","2026-08-15 03:11:02",{"title":6567,"description":60},{"loc":6631},"088d25dd3ddee4a9","summaries\u002F088d25dd3ddee4a9-meta-lora-efficient-cross-domain-llm-personalizati-summary",[93,96,94],"Meta-LoRA enables LLMs to adapt to user preferences across different domains by learning a meta-adapter that generalizes personalization patterns, reducing the need for domain-specific fine-tuning.",[],"CEZsBzY0sCoK4X2ZNujdvLi5HCWp65iBzLZxeGY28RE",{"id":6642,"title":6643,"ai":6644,"body":6649,"categories":6693,"created_at":68,"date_modified":68,"description":60,"extension":69,"faq":68,"featured":70,"kicker_label":68,"meta":6694,"navigation":83,"path":6702,"published_at":6703,"question":68,"scraped_at":6703,"seo":6704,"sitemap":6705,"source_id":6706,"source_name":89,"source_type":90,"source_url":6698,"stem":6707,"tags":6708,"thumbnail_url":68,"tldr":6709,"tweet":68,"unknown_tags":6710,"__hash__":6711},"summaries\u002Fsummaries\u002F25be13053ecb8932-modular-prompt-optimization-improving-llm-performa-summary.md","Modular Prompt Optimization: Improving LLM Performance via Segmentation",{"provider":7,"model":8,"input_tokens":6645,"output_tokens":6646,"processing_time_ms":6647,"cost_usd":6648},4069,412,2036,0.00163525,{"type":14,"value":6650,"toc":6689},[6651,6655,6658,6662,6665,6686],[17,6652,6654],{"id":6653},"the-shift-from-monolithic-to-modular-optimization","The Shift from Monolithic to Modular Optimization",[22,6656,6657],{},"Traditional automatic prompt optimization often treats a prompt as a single, indivisible block of text. This monolithic approach creates a \"black box\" optimization problem where the model struggles to isolate which specific instructions are driving performance gains or failures. The segment-level approach proposed in this research breaks prompts into functional components—such as task definitions, constraints, and output formatting—allowing for independent optimization of each segment.",[17,6659,6661],{"id":6660},"benefits-of-segment-level-tuning","Benefits of Segment-Level Tuning",[22,6663,6664],{},"By decomposing the prompt, developers can apply targeted optimization strategies to specific segments. This modularity offers three primary advantages:",[6666,6667,6668,6674,6680],"ol",{},[39,6669,6670,6673],{},[42,6671,6672],{},"Interpretability:"," Because each segment is tuned independently, it is easier to audit why a specific instruction change improved or degraded model output.",[39,6675,6676,6679],{},[42,6677,6678],{},"Efficiency:"," Rather than re-optimizing a massive prompt string, the system can focus compute resources on the segments that have the highest impact on task success.",[39,6681,6682,6685],{},[42,6683,6684],{},"Robustness:"," Segment-level constraints can be enforced more strictly, reducing the likelihood of \"prompt drift\" where an optimization in one area inadvertently breaks another part of the instruction set.",[22,6687,6688],{},"This modular architecture allows for more granular control over the LLM's behavior, making it easier to maintain complex prompt chains in production environments where reliability and safety are paramount.",{"title":60,"searchDepth":61,"depth":61,"links":6690},[6691,6692],{"id":6653,"depth":61,"text":6654},{"id":6660,"depth":61,"text":6661},[67],{"content_references":6695,"triage":6700},[6696],{"type":74,"title":6697,"url":6698,"context":6699},"From Monolithic to Modular: Segment-level Automatic Prompt Optimization","https:\u002F\u002Farxiv.org\u002Fabs\u002F2608.11219","mentioned",{"relevance":79,"novelty":80,"quality":80,"actionability":80,"composite":81,"reasoning":6701},"Category: AI & LLMs. The article discusses a novel approach to prompt engineering that directly addresses the pain points of interpretability and efficiency in LLM optimization, which is crucial for developers building AI-powered products. It provides actionable insights on segment-level tuning that can be applied in real-world scenarios.","\u002Fsummaries\u002F25be13053ecb8932-modular-prompt-optimization-improving-llm-performa-summary","2026-08-14 03:21:16",{"title":6643,"description":60},{"loc":6702},"25be13053ecb8932","summaries\u002F25be13053ecb8932-modular-prompt-optimization-improving-llm-performa-summary",[93,94,96],"Moving from monolithic prompt optimization to segment-level modularity allows for more precise, interpretable, and effective tuning of LLM instructions.",[],"P6iwQpn3v6O7xTxCNOMphew05TTLV1RvAPU6hOCwKl8",{"id":6713,"title":6714,"ai":6715,"body":6720,"categories":6748,"created_at":68,"date_modified":68,"description":60,"extension":69,"faq":68,"featured":70,"kicker_label":68,"meta":6749,"navigation":83,"path":6755,"published_at":6703,"question":68,"scraped_at":6703,"seo":6756,"sitemap":6757,"source_id":6758,"source_name":89,"source_type":90,"source_url":6752,"stem":6759,"tags":6760,"thumbnail_url":68,"tldr":6761,"tweet":68,"unknown_tags":6762,"__hash__":6763},"summaries\u002Fsummaries\u002Fc53514987261a417-forecasting-side-effects-of-activation-steering-summary.md","Forecasting Side Effects of Activation Steering",{"provider":7,"model":8,"input_tokens":6716,"output_tokens":6717,"processing_time_ms":6718,"cost_usd":6719},4045,480,2449,0.00173125,{"type":14,"value":6721,"toc":6743},[6722,6726,6729,6733,6736,6740],[17,6723,6725],{"id":6724},"the-challenge-of-unintended-consequences-in-activation-steering","The Challenge of Unintended Consequences in Activation Steering",[22,6727,6728],{},"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.",[17,6730,6732],{"id":6731},"a-predictive-framework-for-behavioral-shifts","A Predictive Framework for Behavioral Shifts",[22,6734,6735],{},"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.",[17,6737,6739],{"id":6738},"practical-implications-for-model-control","Practical Implications for Model Control",[22,6741,6742],{},"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":60,"searchDepth":61,"depth":61,"links":6744},[6745,6746,6747],{"id":6724,"depth":61,"text":6725},{"id":6731,"depth":61,"text":6732},{"id":6738,"depth":61,"text":6739},[67],{"content_references":6750,"triage":6753},[6751],{"type":74,"title":6714,"url":6752,"context":6552},"https:\u002F\u002Farxiv.org\u002Fabs\u002F2608.11227",{"relevance":79,"novelty":80,"quality":80,"actionability":80,"composite":81,"reasoning":6754},"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",{"title":6714,"description":60},{"loc":6755},"c53514987261a417","summaries\u002Fc53514987261a417-forecasting-side-effects-of-activation-steering-summary",[93,96,95],"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"]