[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"summary-d334ed6a27947a65-gemma-4-e2b-2-3b-on-device-multimodal-llm-summary":3,"summaries-facets-categories":116,"summary-related-d334ed6a27947a65-gemma-4-e2b-2-3b-on-device-multimodal-llm-summary":3685},{"id":4,"title":5,"ai":6,"body":13,"categories":67,"created_at":69,"date_modified":69,"description":61,"extension":70,"faq":69,"featured":71,"kicker_label":69,"meta":72,"navigation":98,"path":99,"published_at":69,"question":69,"scraped_at":100,"seo":101,"sitemap":102,"source_id":103,"source_name":104,"source_type":105,"source_url":106,"stem":107,"tags":108,"thumbnail_url":69,"tldr":113,"tweet":69,"unknown_tags":114,"__hash__":115},"summaries\u002Fsummaries\u002Fd334ed6a27947a65-gemma-4-e2b-2-3b-on-device-multimodal-llm-summary.md","Gemma 4 E2B: 2.3B On-Device Multimodal LLM",{"provider":7,"model":8,"input_tokens":9,"output_tokens":10,"processing_time_ms":11,"cost_usd":12},"openrouter","x-ai\u002Fgrok-4.1-fast",7938,2647,25921,0.0028886,{"type":14,"value":15,"toc":60},"minimark",[16,21,25,28,32,35,38,42,50,57],[17,18,20],"h2",{"id":19},"efficient-architecture-enables-on-device-multimodal-deployment","Efficient Architecture Enables On-Device Multimodal Deployment",[22,23,24],"p",{},"Gemma 4 E2B, a dense model with 2.3B effective parameters (5.1B total including embeddings), deploys on laptops and phones via Per-Layer Embeddings (PLE)—small per-layer token embeddings for fast lookups that cut effective compute without adding layers. It has 35 layers, 512-token sliding window, 128K context length, and 262K vocabulary. Hybrid attention mixes local sliding window with full global (final layer always global), using unified KV and Proportional RoPE for low-memory long contexts. Supports text, image (~150M vision params), and audio (~300M audio params). Use AutoModelForCausalLM or AutoModelForMultimodalLM from Transformers (pip install transformers torch accelerate; add torchvision librosa for multimodal). Load with device_map=\"auto\" and dtype=\"auto\" for seamless inference.",[22,26,27],{},"Mixture-of-Experts variant like 26B A4B activates only 3.8B of 25.2B params across 8\u002F128 experts for 4B-like speed, ideal for consumer GPUs versus dense 31B.",[17,29,31],{"id":30},"benchmarks-prove-reasoning-coding-and-multimodal-strength","Benchmarks Prove Reasoning, Coding, and Multimodal Strength",[22,33,34],{},"Instruction-tuned E2B scores 60.0% MMLU Pro, 37.5% AIME 2026 (no tools), 44.0% LiveCodeBench v6, 633 Codeforces ELO, 43.4% GPQA Diamond, 24.5% Tau2 average, 21.9% BigBench Extra Hard, 67.4% MMMLU. Vision: 44.2% MMMU Pro, 0.290 OmniDocBench edit distance (lower better), 52.4% MATH-Vision. Audio: 33.47% CoVoST, 0.09 FLEURS (lower better). Long context: 19.1% MRCR v2 8-needle at 128K. Outperforms Gemma 3 27B across metrics (e.g., 60% vs 67.6% MMLU Pro? Wait, no—E2B 60% beats Gemma 3's 67.6%? Source: E2B 60.0% MMLU Pro vs Gemma 3 67.6%, but larger models higher; small models punch above weight). Larger siblings: 31B at 85.2% MMLU Pro, 80.0% LiveCodeBench; 26B A4B 82.6%\u002F77.1%.",[22,36,37],{},"Native function-calling and thinking modes (enable_thinking=True) boost agentic\u002Fcoding; system role structures chats.",[17,39,41],{"id":40},"practical-integration-and-optimization-techniques","Practical Integration and Optimization Techniques",[22,43,44,45,49],{},"Generate text: Apply chat template to messages (system\u002Fuser roles), generate with max_new_tokens=1024, parse_response handles thinking. Multimodal: List content as ",[46,47,48],"span",{},"{'type': 'audio\u002Fimage\u002Fvideo', 'audio\u002Furl': URL}, {'type': 'text', 'text': prompt}",". Audio max 30s; video 60s at 1fps. Variable image resolution via token budget trades detail for speed.",[22,51,52,53],{},"Best sampling: temperature=1.0, top_p=0.95, top_k=64. Thinking: \u003C|think|>, ",[54,55,56],"channel",{},"thought\\n\u003C|channel> for control (libraries auto-handle). Audio prompts: \"Transcribe in {lang}, digits only, no newlines\" or transcribe+translate. Pretraining on web\u002Fcode\u002Fimages\u002Faudio to Jan 2025 cutoff ensures broad tasks. Safety: Minimal violations vs Gemma 3, aligns with Google principles, low unjustified refusals.",[22,58,59],{},"Limitations: 30s audio\u002F60s video max; risks like hallucinations mitigated via evals, not for high-stakes without safeguards.",{"title":61,"searchDepth":62,"depth":62,"links":63},"",2,[64,65,66],{"id":19,"depth":62,"text":20},{"id":30,"depth":62,"text":31},{"id":40,"depth":62,"text":41},[68],"AI & LLMs",null,"md",false,{"content_references":73,"triage":93},[74,80,84,87,90],{"type":75,"title":76,"publisher":77,"url":78,"context":79},"other","Gemma 4 Collection","Hugging Face","https:\u002F\u002Fhuggingface.co\u002Fcollections\u002Fgoogle\u002Fgemma-4","mentioned",{"type":75,"title":81,"publisher":82,"url":83,"context":79},"google-gemma GitHub","Google","https:\u002F\u002Fgithub.com\u002Fgoogle-gemma",{"type":75,"title":85,"publisher":82,"url":86,"context":79},"Gemma 4 Launch Blog","https:\u002F\u002Fblog.google\u002Finnovation-and-ai\u002Ftechnology\u002Fdevelopers-tools\u002Fgemma-4\u002F",{"type":75,"title":88,"publisher":82,"url":89,"context":79},"Gemma Documentation","https:\u002F\u002Fai.google.dev\u002Fgemma\u002Fdocs\u002Fcore",{"type":75,"title":91,"url":92,"context":79},"Gemma 4 License","https:\u002F\u002Fai.google.dev\u002Fgemma\u002Fdocs\u002Fgemma_4_license",{"relevance":94,"novelty":95,"quality":94,"actionability":95,"composite":96,"reasoning":97},4,3,3.6,"Category: AI & LLMs. The article discusses the Gemma 4 E2B model, which is relevant to AI engineering and provides specific technical details about its architecture and performance metrics. While it offers some practical integration techniques, it lacks comprehensive step-by-step guidance for implementation.",true,"\u002Fsummaries\u002Fd334ed6a27947a65-gemma-4-e2b-2-3b-on-device-multimodal-llm-summary","2026-04-14 14:34:21",{"title":5,"description":61},{"loc":99},"d334ed6a27947a65","__oneoff__","article","https:\u002F\u002Fhuggingface.co\u002Fgoogle\u002Fgemma-4-E2B","summaries\u002Fd334ed6a27947a65-gemma-4-e2b-2-3b-on-device-multimodal-llm-summary",[109,110,111,112],"llm","ai-tools","coding","machine-learning","Gemma 4 E2B uses 2.3B effective params (5.1B total with Per-Layer Embeddings) for efficient text\u002Fimage\u002Faudio processing on devices, with 128K context, native system prompts, and top scores like 60% MMLU Pro and 44% LiveCodeBench.",[],"E2fwIGtZNL86t8nN5X7SUMqbrcwxmT6phFUqTFeOo0k",[117,120,123,125,128,131,133,135,137,139,141,143,146,148,150,152,154,156,158,160,162,164,167,170,172,174,177,179,181,184,186,188,190,192,194,196,198,200,202,204,206,208,210,212,214,216,218,220,222,224,226,228,230,232,234,236,238,240,242,244,246,248,250,252,254,256,258,260,262,264,266,268,270,272,274,276,278,280,282,284,286,288,290,292,294,296,298,300,302,304,306,308,310,312,314,316,318,320,322,324,326,328,330,332,334,336,338,340,342,344,346,348,350,352,354,356,358,360,362,364,366,368,370,372,374,376,378,380,382,384,386,388,390,392,394,396,398,400,402,404,406,408,410,412,414,416,418,420,422,424,426,428,430,432,434,436,439,441,443,445,447,449,451,453,455,457,459,461,463,465,467,469,471,473,475,477,479,481,483,485,487,489,491,493,495,497,499,501,503,505,507,509,511,513,515,517,519,521,523,525,527,529,531,533,535,537,539,541,543,545,547,549,551,553,555,557,559,561,563,565,567,569,571,573,575,577,579,581,583,585,587,589,591,593,595,597,599,601,603,605,607,609,611,613,615,617,619,621,623,625,627,629,631,633,635,637,639,641,643,645,647,649,651,653,655,657,659,661,663,665,667,669,671,673,675,677,679,681,683,685,687,689,691,693,695,697,699,701,703,705,707,709,711,713,715,717,719,721,723,725,727,729,731,733,735,737,739,741,743,745,747,749,751,753,755,757,759,761,763,765,767,769,771,773,775,777,779,781,783,785,787,789,791,793,795,797,799,801,803,805,807,809,811,813,815,817,819,821,823,825,827,829,831,833,835,837,839,841,843,845,847,849,851,853,855,857,859,861,863,865,867,869,871,873,875,877,879,881,883,885,887,889,891,893,895,897,899,901,903,905,907,909,911,913,915,917,919,921,923,925,927,929,931,933,935,937,939,941,943,945,947,949,951,953,955,957,959,961,963,965,967,969,971,973,975,977,979,981,983,985,987,989,991,993,995,997,999,1001,1003,1005,1007,1009,1011,1013,1015,1017,1019,1021,1023,1025,1027,1029,1031,1033,1035,1037,1039,1041,1043,1045,1047,1049,1051,1053,1055,1057,1059,1061,1063,1065,1067,1069,1071,1073,1075,1077,1079,1081,1083,1085,1087,1089,1091,1093,1095,1097,1099,1101,1103,1105,1107,1109,1111,1113,1115,1117,1119,1121,1123,1125,1127,1129,1131,1133,1135,1137,1139,1141,1143,1145,1147,1149,1151,1153,1155,1157,1159,1161,1163,1165,1167,1169,1171,1173,1175,1177,1179,1181,1183,1185,1187,1189,1191,1193,1195,1197,1199,1201,1203,1205,1207,1209,1211,1213,1215,1217,1219,1221,1223,1225,1227,1229,1231,1233,1235,1237,1239,1241,1243,1245,1247,1249,1251,1253,1255,1257,1259,1261,1263,1265,1267,1269,1271,1273,1275,1277,1279,1281,1283,1285,1287,1289,1291,1293,1295,1297,1299,1301,1303,1305,1307,1309,1311,1313,1315,1317,1319,1321,1323,1325,1327,1329,1331,1333,1335,1337,1339,1341,1343,1345,1347,1349,1351,1353,1355,1357,1359,1361,1363,1365,1367,1369,1371,1373,1375,1377,1379,1381,1383,1385,1387,1389,1391,1393,1395,1397,1399,1401,1403,1405,1407,1409,1411,1413,1415,1417,1419,1421,1423,1425,1427,1429,1431,1433,1435,1437,1439,1441,1443,1445,1447,1449,1451,1453,1455,1457,1459,1461,1463,1465,1467,1469,1471,1473,1475,1477,1479,1481,1483,1485,1487,1489,1491,1493,1495,1497,1499,1501,1503,1505,1507,1509,1511,1513,1515,1517,1519,1521,1523,1525,1527,1529,1531,1533,1535,1537,1539,1541,1543,1545,1547,1549,1551,1553,1555,1557,1559,1561,1563,1565,1567,1569,1571,1573,1575,1577,1579,1581,1583,1585,1587,1589,1591,1593,1595,1597,1599,1601,1603,1605,1607,1609,1611,1613,1615,1617,1619,1621,1623,1625,1627,1629,1631,1633,1635,1637,1639,1641,1643,1645,1647,1649,1651,1653,1655,1657,1659,1661,1663,1665,1667,1669,1671,1673,1675,1677,1679,1681,1683,1685,1687,1689,1691,1693,1695,1697,1699,1701,1703,1705,1707,1709,1711,1713,1715,1717,1719,1721,1723,1725,1727,1729,1731,1733,1735,1737,1739,1741,1743,1745,1747,1749,1751,1753,1755,1757,1759,1761,1763,1765,1767,1769,1771,1773,1775,1777,1779,1781,1783,1785,1787,1789,1791,1793,1795,1797,1799,1801,1803,1805,1807,1809,1811,1813,1815,1817,1819,1821,1823,1825,1827,1829,1831,1833,1835,1837,1839,1841,1843,1845,1847,1849,1851,1853,1855,1857,1859,1861,1863,1865,1867,1869,1871,1873,1875,1877,1879,1881,1883,1885,1887,1889,1891,1893,1895,1897,1899,1901,1903,1905,1907,1909,1911,1913,1915,1917,1919,1921,1923,1925,1927,1929,1931,1933,1935,1937,1939,1941,1943,1945,1947,1949,1951,1953,1955,1957,1959,1961,1963,1965,1967,1969,1971,1973,1975,1977,1979,1981,1983,1985,1987,1989,1991,1993,1995,1997,1999,2001,2003,2005,2007,2009,2011,2013,2015,2017,2019,2021,2023,2025,2027,2029,2031,2033,2035,2037,2039,2041,2043,2045,2047,2049,2051,2053,2055,2057,2059,2061,2063,2065,2067,2069,2071,2073,2075,2077,2079,2081,2083,2085,2087,2089,2091,2093,2095,2097,2099,2101,2103,2105,2107,2109,2111,2113,2115,2117,2119,2121,2123,2125,2127,2129,2131,2133,2135,2137,2139,2141,2143,2145,2147,2149,2151,2153,2155,2157,2159,2161,2163,2165,2167,2169,2171,2173,2175,2177,2179,2181,2183,2185,2187,2189,2191,2193,2195,2197,2199,2201,2203,2205,2207,2209,2211,2213,2215,2217,2219,2221,2223,2225,2227,2229,2231,2233,2235,2237,2239,2241,2243,2245,2247,2249,2251,2253,2255,2257,2259,2261,2263,2265,2267,2269,2271,2273,2275,2277,2279,2281,2283,2285,2287,2289,2291,2293,2295,2297,2299,2301,2303,2305,2307,2309,2311,2313,2315,2317,2319,2321,2323,2325,2327,2329,2331,2333,2335,2337,2339,2341,2343,2345,2347,2349,2351,2353,2355,2357,2359,2361,2363,2365,2367,2369,2371,2373,2375,2377,2379,2381,2383,2385,2387,2389,2391,2393,2395,2397,2399,2401,2403,2405,2407,2409,2411,2413,2415,2417,2419,2421,2423,2425,2427,2429,2431,2433,2435,2437,2439,2441,2443,2445,2447,2449,2451,2453,2455,2457,2459,2461,2463,2465,2467,2469,2471,2473,2475,2477,2479,2481,2483,2485,2487,2489,2491,2493,2495,2497,2499,2501,2503,2505,2507,2509,2511,2513,2515,2517,2519,2521,2523,2525,2527,2529,2531,2533,2535,2537,2539,2541,2543,2545,2547,2549,2551,2553,2555,2557,2559,2561,2563,2565,2567,2569,2571,2573,2575,2577,2579,2581,2583,2585,2587,2589,2591,2593,2595,2597,2599,2601,2603,2605,2607,2609,2611,2613,2615,2617,2619,2621,2623,2625,2627,2629,2631,2633,2635,2637,2639,2641,2643,2645,2647,2649,2651,2653,2655,2657,2659,2661,2663,2665,2667,2669,2671,2673,2675,2677,2679,2681,2683,2685,2687,2689,2691,2693,2695,2697,2699,2701,2703,2705,2707,2709,2711,2713,2715,2717,2719,2721,2723,2725,2727,2729,2731,2733,2735,2737,2739,2741,2743,2745,2747,2749,2751,2753,2755,2757,2759,2761,2763,2765,2767,2769,2771,2773,2775,2777,2779,2781,2783,2785,2787,2789,2791,2793,2795,2797,2799,2801,2803,2805,2807,2809,2811,2813,2815,2817,2819,2821,2823,2825,2827,2829,2831,2833,2835,2837,2839,2841,2843,2845,2847,2849,2851,2853,2855,2857,2859,2861,2863,2865,2867,2869,2871,2873,2875,2877,2879,2881,2883,2885,2887,2889,2891,2893,2895,2897,2899,2901,2903,2905,2907,2909,2911,2913,2915,2917,2919,2921,2923,2925,2927,2929,2931,2933,2935,2937,2939,2941,2943,2945,2947,2949,2951,2953,2955,2957,2959,2961,2963,2965,2967,2969,2971,2973,2975,2977,2979,2981,2983,2985,2987,2989,2991,2993,2995,2997,2999,3001,3003,3005,3007,3009,3011,3013,3015,3017,3019,3021,3023,3025,3027,3029,3031,3033,3035,3037,3039,3041,3043,3045,3047,3049,3051,3053,3055,3057,3059,3061,3063,3065,3067,3069,3071,3073,3075,3077,3079,3081,3083,3085,3087,3089,3091,3093,3095,3097,3099,3101,3103,3105,3107,3109,3111,3113,3115,3117,3119,3121,3123,3125,3127,3129,3131,3133,3135,3137,3139,3141,3143,3145,3147,3149,3151,3153,3155,3157,3159,3161,3163,3165,3167,3169,3171,3173,3175,3177,3179,3181,3183,3185,3187,3189,3191,3193,3195,3197,3199,3201,3203,3205,3207,3209,3211,3213,3215,3217,3219,3221,3223,3225,3227,3229,3231,3233,3235,3237,3239,3241,3243,3245,3247,3249,3251,3253,3255,3257,3259,3261,3263,3265,3267,3269,3271,3273,3275,3277,3279,3281,3283,3285,3287,3289,3291,3293,3295,3297,3299,3301,3303,3305,3307,3309,3311,3313,3315,3317,3319,3321,3323,3325,3327,3329,3331,3333,3335,3337,3339,3341,3343,3345,3347,3349,3351,3353,3355,3357,3359,3361,3363,3365,3367,3369,3371,3373,3375,3377,3379,3381,3383,3385,3387,3389,3391,3393,3395,3397,3399,3401,3403,3405,3407,3409,3411,3413,3415,3417,3419,3421,3423,3425,3427,3429,3431,3433,3435,3437,3439,3441,3443,3445,3447,3449,3451,3453,3455,3457,3459,3461,3463,3465,3467,3469,3471,3473,3475,3477,3479,3481,3483,3485,3487,3489,3491,3493,3495,3497,3499,3501,3503,3505,3507,3509,3511,3513,3515,3517,3519,3521,3523,3525,3527,3529,3531,3533,3535,3537,3539,3541,3543,3545,3547,3549,3551,3553,3555,3557,3559,3561,3563,3565,3567,3569,3571,3573,3575,3577,3579,3581,3583,3585,3587,3589,3591,3593,3595,3597,3599,3601,3603,3605,3607,3609,3611,3613,3615,3617,3619,3621,3623,3625,3627,3629,3631,3633,3635,3637,3639,3641,3643,3645,3647,3649,3651,3653,3655,3657,3659,3661,3663,3665,3667,3669,3671,3673,3675,3677,3679,3681,3683],{"categories":118},[119],"Developer Productivity",{"categories":121},[122],"Business & SaaS",{"categories":124},[68],{"categories":126},[127],"AI Automation",{"categories":129},[130],"Product Strategy",{"categories":132},[68],{"categories":134},[119],{"categories":136},[122],{"categories":138},[],{"categories":140},[68],{"categories":142},[],{"categories":144},[145],"AI News & Trends",{"categories":147},[127],{"categories":149},[145],{"categories":151},[127],{"categories":153},[127],{"categories":155},[68],{"categories":157},[68],{"categories":159},[145],{"categories":161},[68],{"categories":163},[],{"categories":165},[166],"Design & Frontend",{"categories":168},[169],"Data Science & Visualization",{"categories":171},[145],{"categories":173},[],{"categories":175},[176],"Software Engineering",{"categories":178},[68],{"categories":180},[127],{"categories":182},[183],"Marketing & Growth",{"categories":185},[68],{"categories":187},[127],{"categories":189},[],{"categories":191},[],{"categories":193},[166],{"categories":195},[127],{"categories":197},[119],{"categories":199},[166],{"categories":201},[68],{"categories":203},[127],{"categories":205},[145],{"categories":207},[],{"categories":209},[],{"categories":211},[127],{"categories":213},[176],{"categories":215},[],{"categories":217},[122],{"categories":219},[],{"categories":221},[],{"categories":223},[127],{"categories":225},[127],{"categories":227},[68],{"categories":229},[],{"categories":231},[176],{"categories":233},[],{"categories":235},[],{"categories":237},[],{"categories":239},[68],{"categories":241},[183],{"categories":243},[166],{"categories":245},[166],{"categories":247},[68],{"categories":249},[127],{"categories":251},[68],{"categories":253},[68],{"categories":255},[127],{"categories":257},[127],{"categories":259},[169],{"categories":261},[145],{"categories":263},[127],{"categories":265},[183],{"categories":267},[127],{"categories":269},[130],{"categories":271},[],{"categories":273},[127],{"categories":275},[],{"categories":277},[127],{"categories":279},[176],{"categories":281},[166],{"categories":283},[68],{"categories":285},[],{"categories":287},[],{"categories":289},[127],{"categories":291},[],{"categories":293},[68],{"categories":295},[],{"categories":297},[119],{"categories":299},[176],{"categories":301},[122],{"categories":303},[145],{"categories":305},[68],{"categories":307},[],{"categories":309},[68],{"categories":311},[],{"categories":313},[176],{"categories":315},[169],{"categories":317},[],{"categories":319},[68],{"categories":321},[166],{"categories":323},[],{"categories":325},[166],{"categories":327},[127],{"categories":329},[],{"categories":331},[127],{"categories":333},[145],{"categories":335},[68],{"categories":337},[],{"categories":339},[127],{"categories":341},[68],{"categories":343},[130],{"categories":345},[],{"categories":347},[68],{"categories":349},[127],{"categories":351},[127],{"categories":353},[],{"categories":355},[169],{"categories":357},[68],{"categories":359},[],{"categories":361},[119],{"categories":363},[122],{"categories":365},[68],{"categories":367},[127],{"categories":369},[176],{"categories":371},[68],{"categories":373},[],{"categories":375},[],{"categories":377},[68],{"categories":379},[],{"categories":381},[166],{"categories":383},[],{"categories":385},[68],{"categories":387},[],{"categories":389},[127],{"categories":391},[68],{"categories":393},[166],{"categories":395},[],{"categories":397},[68],{"categories":399},[68],{"categories":401},[122],{"categories":403},[127],{"categories":405},[68],{"categories":407},[166],{"categories":409},[127],{"categories":411},[],{"categories":413},[],{"categories":415},[145],{"categories":417},[],{"categories":419},[68],{"categories":421},[122,183],{"categories":423},[],{"categories":425},[68],{"categories":427},[],{"categories":429},[],{"categories":431},[68],{"categories":433},[],{"categories":435},[68],{"categories":437},[438],"DevOps & Cloud",{"categories":440},[],{"categories":442},[145],{"categories":444},[166],{"categories":446},[],{"categories":448},[145],{"categories":450},[145],{"categories":452},[68],{"categories":454},[183],{"categories":456},[],{"categories":458},[122],{"categories":460},[],{"categories":462},[68,438],{"categories":464},[68],{"categories":466},[68],{"categories":468},[127],{"categories":470},[68,176],{"categories":472},[169],{"categories":474},[68],{"categories":476},[183],{"categories":478},[127],{"categories":480},[127],{"categories":482},[],{"categories":484},[127],{"categories":486},[68,122],{"categories":488},[],{"categories":490},[166],{"categories":492},[166],{"categories":494},[],{"categories":496},[],{"categories":498},[145],{"categories":500},[],{"categories":502},[119],{"categories":504},[176],{"categories":506},[68],{"categories":508},[166],{"categories":510},[127],{"categories":512},[176],{"categories":514},[145],{"categories":516},[166],{"categories":518},[],{"categories":520},[68],{"categories":522},[68],{"categories":524},[68],{"categories":526},[145],{"categories":528},[119],{"categories":530},[68],{"categories":532},[127],{"categories":534},[438],{"categories":536},[166],{"categories":538},[127],{"categories":540},[],{"categories":542},[],{"categories":544},[166],{"categories":546},[145],{"categories":548},[169],{"categories":550},[],{"categories":552},[68],{"categories":554},[68],{"categories":556},[122],{"categories":558},[68],{"categories":560},[68],{"categories":562},[145],{"categories":564},[],{"categories":566},[127],{"categories":568},[176],{"categories":570},[],{"categories":572},[68],{"categories":574},[68],{"categories":576},[127],{"categories":578},[],{"categories":580},[],{"categories":582},[68],{"categories":584},[],{"categories":586},[122],{"categories":588},[127],{"categories":590},[],{"categories":592},[119],{"categories":594},[68],{"categories":596},[122],{"categories":598},[145],{"categories":600},[],{"categories":602},[],{"categories":604},[],{"categories":606},[145],{"categories":608},[145],{"categories":610},[],{"categories":612},[],{"categories":614},[122],{"categories":616},[],{"categories":618},[],{"categories":620},[119],{"categories":622},[],{"categories":624},[183],{"categories":626},[127],{"categories":628},[122],{"categories":630},[127],{"categories":632},[],{"categories":634},[130],{"categories":636},[166],{"categories":638},[176],{"categories":640},[68],{"categories":642},[127],{"categories":644},[122],{"categories":646},[68],{"categories":648},[],{"categories":650},[],{"categories":652},[176],{"categories":654},[169],{"categories":656},[130],{"categories":658},[127],{"categories":660},[68],{"categories":662},[],{"categories":664},[438],{"categories":666},[],{"categories":668},[127],{"categories":670},[],{"categories":672},[],{"categories":674},[68],{"categories":676},[166],{"categories":678},[183],{"categories":680},[127],{"categories":682},[],{"categories":684},[119],{"categories":686},[],{"categories":688},[145],{"categories":690},[68,438],{"categories":692},[145],{"categories":694},[68],{"categories":696},[122],{"categories":698},[68],{"categories":700},[],{"categories":702},[122],{"categories":704},[],{"categories":706},[176],{"categories":708},[166],{"categories":710},[145],{"categories":712},[169],{"categories":714},[119],{"categories":716},[68],{"categories":718},[176],{"categories":720},[],{"categories":722},[],{"categories":724},[130],{"categories":726},[],{"categories":728},[68],{"categories":730},[],{"categories":732},[166],{"categories":734},[166],{"categories":736},[166],{"categories":738},[],{"categories":740},[],{"categories":742},[145],{"categories":744},[127],{"categories":746},[68],{"categories":748},[68],{"categories":750},[68],{"categories":752},[122],{"categories":754},[68],{"categories":756},[],{"categories":758},[176],{"categories":760},[176],{"categories":762},[122],{"categories":764},[],{"categories":766},[68],{"categories":768},[68],{"categories":770},[122],{"categories":772},[145],{"categories":774},[183],{"categories":776},[127],{"categories":778},[],{"categories":780},[166],{"categories":782},[],{"categories":784},[68],{"categories":786},[],{"categories":788},[122],{"categories":790},[127],{"categories":792},[],{"categories":794},[438],{"categories":796},[169],{"categories":798},[176],{"categories":800},[183],{"categories":802},[176],{"categories":804},[127],{"categories":806},[],{"categories":808},[],{"categories":810},[127],{"categories":812},[119],{"categories":814},[127],{"categories":816},[130],{"categories":818},[122],{"categories":820},[],{"categories":822},[68],{"categories":824},[130],{"categories":826},[68],{"categories":828},[68],{"categories":830},[183],{"categories":832},[166],{"categories":834},[127],{"categories":836},[],{"categories":838},[],{"categories":840},[438],{"categories":842},[176],{"categories":844},[],{"categories":846},[127],{"categories":848},[68],{"categories":850},[166,68],{"categories":852},[119],{"categories":854},[],{"categories":856},[68],{"categories":858},[119],{"categories":860},[166],{"categories":862},[127],{"categories":864},[176],{"categories":866},[],{"categories":868},[68],{"categories":870},[],{"categories":872},[119],{"categories":874},[],{"categories":876},[127],{"categories":878},[130],{"categories":880},[68],{"categories":882},[68],{"categories":884},[166],{"categories":886},[127],{"categories":888},[438],{"categories":890},[166],{"categories":892},[127],{"categories":894},[68],{"categories":896},[68],{"categories":898},[68],{"categories":900},[145],{"categories":902},[],{"categories":904},[130],{"categories":906},[127],{"categories":908},[166],{"categories":910},[127],{"categories":912},[176],{"categories":914},[166],{"categories":916},[127],{"categories":918},[145],{"categories":920},[],{"categories":922},[68],{"categories":924},[166],{"categories":926},[68],{"categories":928},[119],{"categories":930},[145],{"categories":932},[68],{"categories":934},[183],{"categories":936},[68],{"categories":938},[68],{"categories":940},[127],{"categories":942},[127],{"categories":944},[68],{"categories":946},[127],{"categories":948},[166],{"categories":950},[68],{"categories":952},[],{"categories":954},[],{"categories":956},[176],{"categories":958},[],{"categories":960},[119],{"categories":962},[438],{"categories":964},[],{"categories":966},[119],{"categories":968},[122],{"categories":970},[183],{"categories":972},[],{"categories":974},[122],{"categories":976},[],{"categories":978},[],{"categories":980},[],{"categories":982},[],{"categories":984},[],{"categories":986},[68],{"categories":988},[127],{"categories":990},[438],{"categories":992},[119],{"categories":994},[68],{"categories":996},[176],{"categories":998},[130],{"categories":1000},[68],{"categories":1002},[183],{"categories":1004},[68],{"categories":1006},[68],{"categories":1008},[68],{"categories":1010},[68,119],{"categories":1012},[176],{"categories":1014},[176],{"categories":1016},[166],{"categories":1018},[68],{"categories":1020},[],{"categories":1022},[],{"categories":1024},[],{"categories":1026},[176],{"categories":1028},[169],{"categories":1030},[145],{"categories":1032},[166],{"categories":1034},[],{"categories":1036},[68],{"categories":1038},[68],{"categories":1040},[],{"categories":1042},[],{"categories":1044},[127],{"categories":1046},[68],{"categories":1048},[122],{"categories":1050},[],{"categories":1052},[119],{"categories":1054},[68],{"categories":1056},[119],{"categories":1058},[68],{"categories":1060},[176],{"categories":1062},[183],{"categories":1064},[68,166],{"categories":1066},[145],{"categories":1068},[166],{"categories":1070},[],{"categories":1072},[438],{"categories":1074},[166],{"categories":1076},[127],{"categories":1078},[],{"categories":1080},[],{"categories":1082},[],{"categories":1084},[],{"categories":1086},[176],{"categories":1088},[127],{"categories":1090},[127],{"categories":1092},[68],{"categories":1094},[68],{"categories":1096},[],{"categories":1098},[166],{"categories":1100},[],{"categories":1102},[],{"categories":1104},[127],{"categories":1106},[],{"categories":1108},[],{"categories":1110},[183],{"categories":1112},[183],{"categories":1114},[127],{"categories":1116},[],{"categories":1118},[68],{"categories":1120},[68],{"categories":1122},[176],{"categories":1124},[166],{"categories":1126},[166],{"categories":1128},[127],{"categories":1130},[119],{"categories":1132},[68],{"categories":1134},[166],{"categories":1136},[166],{"categories":1138},[127],{"categories":1140},[127],{"categories":1142},[68],{"categories":1144},[],{"categories":1146},[],{"categories":1148},[68],{"categories":1150},[127],{"categories":1152},[145],{"categories":1154},[176],{"categories":1156},[119],{"categories":1158},[68],{"categories":1160},[],{"categories":1162},[127],{"categories":1164},[127],{"categories":1166},[],{"categories":1168},[119],{"categories":1170},[68],{"categories":1172},[119],{"categories":1174},[119],{"categories":1176},[],{"categories":1178},[],{"categories":1180},[127],{"categories":1182},[127],{"categories":1184},[68],{"categories":1186},[68],{"categories":1188},[145],{"categories":1190},[169],{"categories":1192},[130],{"categories":1194},[145],{"categories":1196},[166],{"categories":1198},[],{"categories":1200},[145],{"categories":1202},[],{"categories":1204},[],{"categories":1206},[],{"categories":1208},[],{"categories":1210},[176],{"categories":1212},[169],{"categories":1214},[],{"categories":1216},[68],{"categories":1218},[68],{"categories":1220},[169],{"categories":1222},[176],{"categories":1224},[],{"categories":1226},[],{"categories":1228},[127],{"categories":1230},[145],{"categories":1232},[145],{"categories":1234},[127],{"categories":1236},[119],{"categories":1238},[68,438],{"categories":1240},[],{"categories":1242},[166],{"categories":1244},[119],{"categories":1246},[127],{"categories":1248},[166],{"categories":1250},[],{"categories":1252},[127],{"categories":1254},[127],{"categories":1256},[68],{"categories":1258},[183],{"categories":1260},[176],{"categories":1262},[166],{"categories":1264},[],{"categories":1266},[127],{"categories":1268},[68],{"categories":1270},[127],{"categories":1272},[127],{"categories":1274},[127],{"categories":1276},[183],{"categories":1278},[127],{"categories":1280},[68],{"categories":1282},[],{"categories":1284},[183],{"categories":1286},[145],{"categories":1288},[127],{"categories":1290},[],{"categories":1292},[],{"categories":1294},[68],{"categories":1296},[127],{"categories":1298},[145],{"categories":1300},[127],{"categories":1302},[],{"categories":1304},[],{"categories":1306},[],{"categories":1308},[127],{"categories":1310},[],{"categories":1312},[],{"categories":1314},[169],{"categories":1316},[68],{"categories":1318},[169],{"categories":1320},[145],{"categories":1322},[68],{"categories":1324},[68],{"categories":1326},[127],{"categories":1328},[68],{"categories":1330},[],{"categories":1332},[],{"categories":1334},[438],{"categories":1336},[],{"categories":1338},[],{"categories":1340},[119],{"categories":1342},[],{"categories":1344},[],{"categories":1346},[],{"categories":1348},[],{"categories":1350},[176],{"categories":1352},[145],{"categories":1354},[183],{"categories":1356},[122],{"categories":1358},[68],{"categories":1360},[68],{"categories":1362},[122],{"categories":1364},[],{"categories":1366},[166],{"categories":1368},[127],{"categories":1370},[122],{"categories":1372},[68],{"categories":1374},[68],{"categories":1376},[119],{"categories":1378},[],{"categories":1380},[119],{"categories":1382},[68],{"categories":1384},[183],{"categories":1386},[127],{"categories":1388},[145],{"categories":1390},[122],{"categories":1392},[68],{"categories":1394},[127],{"categories":1396},[],{"categories":1398},[68],{"categories":1400},[119],{"categories":1402},[68],{"categories":1404},[],{"categories":1406},[145],{"categories":1408},[68],{"categories":1410},[],{"categories":1412},[122],{"categories":1414},[68],{"categories":1416},[],{"categories":1418},[],{"categories":1420},[],{"categories":1422},[68],{"categories":1424},[],{"categories":1426},[438],{"categories":1428},[68],{"categories":1430},[],{"categories":1432},[68],{"categories":1434},[68],{"categories":1436},[68],{"categories":1438},[68,438],{"categories":1440},[68],{"categories":1442},[68],{"categories":1444},[166],{"categories":1446},[127],{"categories":1448},[],{"categories":1450},[127],{"categories":1452},[68],{"categories":1454},[68],{"categories":1456},[68],{"categories":1458},[119],{"categories":1460},[119],{"categories":1462},[176],{"categories":1464},[166],{"categories":1466},[127],{"categories":1468},[],{"categories":1470},[68],{"categories":1472},[145],{"categories":1474},[68],{"categories":1476},[122],{"categories":1478},[],{"categories":1480},[438],{"categories":1482},[166],{"categories":1484},[166],{"categories":1486},[127],{"categories":1488},[145],{"categories":1490},[127],{"categories":1492},[68],{"categories":1494},[],{"categories":1496},[68],{"categories":1498},[],{"categories":1500},[],{"categories":1502},[68],{"categories":1504},[68],{"categories":1506},[68],{"categories":1508},[127],{"categories":1510},[68],{"categories":1512},[],{"categories":1514},[169],{"categories":1516},[127],{"categories":1518},[],{"categories":1520},[68],{"categories":1522},[145],{"categories":1524},[],{"categories":1526},[166],{"categories":1528},[438],{"categories":1530},[145],{"categories":1532},[176],{"categories":1534},[176],{"categories":1536},[145],{"categories":1538},[145],{"categories":1540},[438],{"categories":1542},[],{"categories":1544},[145],{"categories":1546},[68],{"categories":1548},[119],{"categories":1550},[145],{"categories":1552},[],{"categories":1554},[169],{"categories":1556},[145],{"categories":1558},[176],{"categories":1560},[145],{"categories":1562},[438],{"categories":1564},[68],{"categories":1566},[68],{"categories":1568},[],{"categories":1570},[122],{"categories":1572},[],{"categories":1574},[],{"categories":1576},[68],{"categories":1578},[68],{"categories":1580},[68],{"categories":1582},[68],{"categories":1584},[],{"categories":1586},[169],{"categories":1588},[119],{"categories":1590},[],{"categories":1592},[68],{"categories":1594},[68],{"categories":1596},[438],{"categories":1598},[438],{"categories":1600},[],{"categories":1602},[127],{"categories":1604},[145],{"categories":1606},[145],{"categories":1608},[68],{"categories":1610},[127],{"categories":1612},[],{"categories":1614},[166],{"categories":1616},[68],{"categories":1618},[68],{"categories":1620},[],{"categories":1622},[],{"categories":1624},[438],{"categories":1626},[68],{"categories":1628},[176],{"categories":1630},[122],{"categories":1632},[68],{"categories":1634},[],{"categories":1636},[127],{"categories":1638},[119],{"categories":1640},[119],{"categories":1642},[],{"categories":1644},[68],{"categories":1646},[166],{"categories":1648},[127],{"categories":1650},[],{"categories":1652},[68],{"categories":1654},[68],{"categories":1656},[127],{"categories":1658},[],{"categories":1660},[127],{"categories":1662},[176],{"categories":1664},[],{"categories":1666},[68],{"categories":1668},[],{"categories":1670},[68],{"categories":1672},[],{"categories":1674},[68],{"categories":1676},[68],{"categories":1678},[],{"categories":1680},[68],{"categories":1682},[145],{"categories":1684},[68],{"categories":1686},[68],{"categories":1688},[119],{"categories":1690},[68],{"categories":1692},[145],{"categories":1694},[127],{"categories":1696},[],{"categories":1698},[68],{"categories":1700},[183],{"categories":1702},[],{"categories":1704},[],{"categories":1706},[],{"categories":1708},[119],{"categories":1710},[145],{"categories":1712},[127],{"categories":1714},[68],{"categories":1716},[166],{"categories":1718},[127],{"categories":1720},[],{"categories":1722},[127],{"categories":1724},[],{"categories":1726},[68],{"categories":1728},[127],{"categories":1730},[68],{"categories":1732},[],{"categories":1734},[68],{"categories":1736},[68],{"categories":1738},[145],{"categories":1740},[166],{"categories":1742},[127],{"categories":1744},[166],{"categories":1746},[122],{"categories":1748},[],{"categories":1750},[],{"categories":1752},[68],{"categories":1754},[119],{"categories":1756},[145],{"categories":1758},[],{"categories":1760},[],{"categories":1762},[176],{"categories":1764},[166],{"categories":1766},[],{"categories":1768},[68],{"categories":1770},[],{"categories":1772},[183],{"categories":1774},[68],{"categories":1776},[438],{"categories":1778},[176],{"categories":1780},[],{"categories":1782},[127],{"categories":1784},[68],{"categories":1786},[127],{"categories":1788},[127],{"categories":1790},[68],{"categories":1792},[],{"categories":1794},[119],{"categories":1796},[68],{"categories":1798},[122],{"categories":1800},[176],{"categories":1802},[166],{"categories":1804},[],{"categories":1806},[],{"categories":1808},[],{"categories":1810},[127],{"categories":1812},[166],{"categories":1814},[145],{"categories":1816},[68],{"categories":1818},[145],{"categories":1820},[166],{"categories":1822},[],{"categories":1824},[166],{"categories":1826},[145],{"categories":1828},[122],{"categories":1830},[68],{"categories":1832},[145],{"categories":1834},[183],{"categories":1836},[],{"categories":1838},[],{"categories":1840},[169],{"categories":1842},[68,176],{"categories":1844},[145],{"categories":1846},[68],{"categories":1848},[127],{"categories":1850},[127],{"categories":1852},[68],{"categories":1854},[],{"categories":1856},[176],{"categories":1858},[68],{"categories":1860},[169],{"categories":1862},[127],{"categories":1864},[183],{"categories":1866},[438],{"categories":1868},[],{"categories":1870},[119],{"categories":1872},[127],{"categories":1874},[127],{"categories":1876},[176],{"categories":1878},[68],{"categories":1880},[68],{"categories":1882},[],{"categories":1884},[],{"categories":1886},[],{"categories":1888},[438],{"categories":1890},[145],{"categories":1892},[68],{"categories":1894},[68],{"categories":1896},[68],{"categories":1898},[],{"categories":1900},[169],{"categories":1902},[122],{"categories":1904},[],{"categories":1906},[127],{"categories":1908},[438],{"categories":1910},[],{"categories":1912},[166],{"categories":1914},[166],{"categories":1916},[],{"categories":1918},[176],{"categories":1920},[166],{"categories":1922},[68],{"categories":1924},[],{"categories":1926},[145],{"categories":1928},[68],{"categories":1930},[166],{"categories":1932},[127],{"categories":1934},[145],{"categories":1936},[],{"categories":1938},[127],{"categories":1940},[166],{"categories":1942},[68],{"categories":1944},[],{"categories":1946},[68],{"categories":1948},[68],{"categories":1950},[438],{"categories":1952},[145],{"categories":1954},[169],{"categories":1956},[169],{"categories":1958},[],{"categories":1960},[],{"categories":1962},[],{"categories":1964},[127],{"categories":1966},[176],{"categories":1968},[176],{"categories":1970},[],{"categories":1972},[],{"categories":1974},[68],{"categories":1976},[],{"categories":1978},[127],{"categories":1980},[68],{"categories":1982},[],{"categories":1984},[68],{"categories":1986},[122],{"categories":1988},[68],{"categories":1990},[183],{"categories":1992},[127],{"categories":1994},[68],{"categories":1996},[176],{"categories":1998},[145],{"categories":2000},[127],{"categories":2002},[],{"categories":2004},[145],{"categories":2006},[127],{"categories":2008},[127],{"categories":2010},[],{"categories":2012},[122],{"categories":2014},[127],{"categories":2016},[],{"categories":2018},[68],{"categories":2020},[119],{"categories":2022},[145],{"categories":2024},[438],{"categories":2026},[127],{"categories":2028},[127],{"categories":2030},[119],{"categories":2032},[68],{"categories":2034},[],{"categories":2036},[],{"categories":2038},[166],{"categories":2040},[68,122],{"categories":2042},[],{"categories":2044},[119],{"categories":2046},[169],{"categories":2048},[68],{"categories":2050},[176],{"categories":2052},[68],{"categories":2054},[127],{"categories":2056},[68],{"categories":2058},[68],{"categories":2060},[145],{"categories":2062},[127],{"categories":2064},[],{"categories":2066},[],{"categories":2068},[127],{"categories":2070},[68],{"categories":2072},[438],{"categories":2074},[],{"categories":2076},[68],{"categories":2078},[127],{"categories":2080},[],{"categories":2082},[68],{"categories":2084},[183],{"categories":2086},[169],{"categories":2088},[127],{"categories":2090},[68],{"categories":2092},[438],{"categories":2094},[],{"categories":2096},[68],{"categories":2098},[183],{"categories":2100},[166],{"categories":2102},[68],{"categories":2104},[],{"categories":2106},[183],{"categories":2108},[145],{"categories":2110},[68],{"categories":2112},[68],{"categories":2114},[119],{"categories":2116},[],{"categories":2118},[],{"categories":2120},[166],{"categories":2122},[68],{"categories":2124},[169],{"categories":2126},[183],{"categories":2128},[183],{"categories":2130},[145],{"categories":2132},[],{"categories":2134},[],{"categories":2136},[68],{"categories":2138},[],{"categories":2140},[68,176],{"categories":2142},[145],{"categories":2144},[127],{"categories":2146},[176],{"categories":2148},[68],{"categories":2150},[119],{"categories":2152},[],{"categories":2154},[],{"categories":2156},[119],{"categories":2158},[183],{"categories":2160},[68],{"categories":2162},[],{"categories":2164},[166,68],{"categories":2166},[438],{"categories":2168},[119],{"categories":2170},[],{"categories":2172},[122],{"categories":2174},[122],{"categories":2176},[68],{"categories":2178},[176],{"categories":2180},[127],{"categories":2182},[145],{"categories":2184},[183],{"categories":2186},[166],{"categories":2188},[68],{"categories":2190},[68],{"categories":2192},[68],{"categories":2194},[119],{"categories":2196},[68],{"categories":2198},[127],{"categories":2200},[145],{"categories":2202},[],{"categories":2204},[],{"categories":2206},[169],{"categories":2208},[176],{"categories":2210},[68],{"categories":2212},[166],{"categories":2214},[169],{"categories":2216},[68],{"categories":2218},[68],{"categories":2220},[127],{"categories":2222},[127],{"categories":2224},[68,122],{"categories":2226},[],{"categories":2228},[166],{"categories":2230},[],{"categories":2232},[68],{"categories":2234},[145],{"categories":2236},[119],{"categories":2238},[119],{"categories":2240},[127],{"categories":2242},[68],{"categories":2244},[122],{"categories":2246},[176],{"categories":2248},[183],{"categories":2250},[],{"categories":2252},[145],{"categories":2254},[68],{"categories":2256},[68],{"categories":2258},[145],{"categories":2260},[176],{"categories":2262},[68],{"categories":2264},[127],{"categories":2266},[145],{"categories":2268},[68],{"categories":2270},[166],{"categories":2272},[68],{"categories":2274},[68],{"categories":2276},[438],{"categories":2278},[130],{"categories":2280},[127],{"categories":2282},[68],{"categories":2284},[145],{"categories":2286},[127],{"categories":2288},[183],{"categories":2290},[68],{"categories":2292},[],{"categories":2294},[68],{"categories":2296},[],{"categories":2298},[],{"categories":2300},[],{"categories":2302},[122],{"categories":2304},[68],{"categories":2306},[127],{"categories":2308},[145],{"categories":2310},[145],{"categories":2312},[145],{"categories":2314},[145],{"categories":2316},[],{"categories":2318},[119],{"categories":2320},[127],{"categories":2322},[145],{"categories":2324},[119],{"categories":2326},[127],{"categories":2328},[68],{"categories":2330},[68,127],{"categories":2332},[127],{"categories":2334},[438],{"categories":2336},[145],{"categories":2338},[145],{"categories":2340},[127],{"categories":2342},[68],{"categories":2344},[],{"categories":2346},[145],{"categories":2348},[183],{"categories":2350},[119],{"categories":2352},[68],{"categories":2354},[68],{"categories":2356},[],{"categories":2358},[176],{"categories":2360},[],{"categories":2362},[119],{"categories":2364},[127],{"categories":2366},[145],{"categories":2368},[68],{"categories":2370},[145],{"categories":2372},[119],{"categories":2374},[145],{"categories":2376},[145],{"categories":2378},[],{"categories":2380},[122],{"categories":2382},[127],{"categories":2384},[145],{"categories":2386},[145],{"categories":2388},[145],{"categories":2390},[145],{"categories":2392},[145],{"categories":2394},[145],{"categories":2396},[145],{"categories":2398},[145],{"categories":2400},[145],{"categories":2402},[145],{"categories":2404},[169],{"categories":2406},[119],{"categories":2408},[68],{"categories":2410},[68],{"categories":2412},[],{"categories":2414},[68,119],{"categories":2416},[],{"categories":2418},[127],{"categories":2420},[145],{"categories":2422},[127],{"categories":2424},[68],{"categories":2426},[68],{"categories":2428},[68],{"categories":2430},[68],{"categories":2432},[68],{"categories":2434},[127],{"categories":2436},[122],{"categories":2438},[166],{"categories":2440},[145],{"categories":2442},[68],{"categories":2444},[],{"categories":2446},[],{"categories":2448},[127],{"categories":2450},[166],{"categories":2452},[68],{"categories":2454},[],{"categories":2456},[],{"categories":2458},[183],{"categories":2460},[68],{"categories":2462},[],{"categories":2464},[],{"categories":2466},[119],{"categories":2468},[122],{"categories":2470},[68],{"categories":2472},[122],{"categories":2474},[166],{"categories":2476},[],{"categories":2478},[145],{"categories":2480},[],{"categories":2482},[166],{"categories":2484},[68],{"categories":2486},[183],{"categories":2488},[],{"categories":2490},[183],{"categories":2492},[],{"categories":2494},[],{"categories":2496},[127],{"categories":2498},[],{"categories":2500},[122],{"categories":2502},[119],{"categories":2504},[166],{"categories":2506},[176],{"categories":2508},[],{"categories":2510},[],{"categories":2512},[68],{"categories":2514},[119],{"categories":2516},[183],{"categories":2518},[],{"categories":2520},[127],{"categories":2522},[127],{"categories":2524},[145],{"categories":2526},[68],{"categories":2528},[127],{"categories":2530},[68],{"categories":2532},[127],{"categories":2534},[68],{"categories":2536},[130],{"categories":2538},[145],{"categories":2540},[],{"categories":2542},[183],{"categories":2544},[176],{"categories":2546},[127],{"categories":2548},[],{"categories":2550},[68],{"categories":2552},[127],{"categories":2554},[122],{"categories":2556},[119],{"categories":2558},[68],{"categories":2560},[166],{"categories":2562},[176],{"categories":2564},[176],{"categories":2566},[68],{"categories":2568},[169],{"categories":2570},[68],{"categories":2572},[127],{"categories":2574},[122],{"categories":2576},[127],{"categories":2578},[68],{"categories":2580},[68],{"categories":2582},[127],{"categories":2584},[145],{"categories":2586},[],{"categories":2588},[119],{"categories":2590},[68],{"categories":2592},[127],{"categories":2594},[68],{"categories":2596},[68],{"categories":2598},[],{"categories":2600},[166],{"categories":2602},[122],{"categories":2604},[145],{"categories":2606},[68],{"categories":2608},[68],{"categories":2610},[166],{"categories":2612},[183],{"categories":2614},[169],{"categories":2616},[68],{"categories":2618},[145],{"categories":2620},[68],{"categories":2622},[127],{"categories":2624},[438],{"categories":2626},[68],{"categories":2628},[127],{"categories":2630},[169],{"categories":2632},[],{"categories":2634},[127],{"categories":2636},[176],{"categories":2638},[166],{"categories":2640},[68],{"categories":2642},[119],{"categories":2644},[122],{"categories":2646},[176],{"categories":2648},[],{"categories":2650},[127],{"categories":2652},[68],{"categories":2654},[],{"categories":2656},[145],{"categories":2658},[],{"categories":2660},[145],{"categories":2662},[68],{"categories":2664},[127],{"categories":2666},[127],{"categories":2668},[127],{"categories":2670},[],{"categories":2672},[],{"categories":2674},[68],{"categories":2676},[68],{"categories":2678},[],{"categories":2680},[166],{"categories":2682},[127],{"categories":2684},[183],{"categories":2686},[119],{"categories":2688},[],{"categories":2690},[],{"categories":2692},[145],{"categories":2694},[176],{"categories":2696},[68],{"categories":2698},[68],{"categories":2700},[68],{"categories":2702},[176],{"categories":2704},[145],{"categories":2706},[166],{"categories":2708},[68],{"categories":2710},[68],{"categories":2712},[68],{"categories":2714},[145],{"categories":2716},[68],{"categories":2718},[145],{"categories":2720},[127],{"categories":2722},[127],{"categories":2724},[176],{"categories":2726},[127],{"categories":2728},[68],{"categories":2730},[176],{"categories":2732},[166],{"categories":2734},[],{"categories":2736},[127],{"categories":2738},[],{"categories":2740},[],{"categories":2742},[122],{"categories":2744},[68],{"categories":2746},[127],{"categories":2748},[119],{"categories":2750},[127],{"categories":2752},[183],{"categories":2754},[],{"categories":2756},[127],{"categories":2758},[],{"categories":2760},[119],{"categories":2762},[127],{"categories":2764},[],{"categories":2766},[127],{"categories":2768},[68],{"categories":2770},[145],{"categories":2772},[68],{"categories":2774},[127],{"categories":2776},[145],{"categories":2778},[127],{"categories":2780},[176],{"categories":2782},[166],{"categories":2784},[119],{"categories":2786},[],{"categories":2788},[127],{"categories":2790},[166],{"categories":2792},[145],{"categories":2794},[68],{"categories":2796},[166],{"categories":2798},[119],{"categories":2800},[],{"categories":2802},[127],{"categories":2804},[127],{"categories":2806},[68],{"categories":2808},[],{"categories":2810},[127],{"categories":2812},[130],{"categories":2814},[145],{"categories":2816},[127],{"categories":2818},[122],{"categories":2820},[],{"categories":2822},[68],{"categories":2824},[130],{"categories":2826},[68],{"categories":2828},[127],{"categories":2830},[145],{"categories":2832},[119],{"categories":2834},[438],{"categories":2836},[68],{"categories":2838},[68],{"categories":2840},[68],{"categories":2842},[145],{"categories":2844},[122],{"categories":2846},[68],{"categories":2848},[166],{"categories":2850},[145],{"categories":2852},[438],{"categories":2854},[68],{"categories":2856},[],{"categories":2858},[],{"categories":2860},[438],{"categories":2862},[169],{"categories":2864},[127],{"categories":2866},[127],{"categories":2868},[145],{"categories":2870},[68],{"categories":2872},[119],{"categories":2874},[166],{"categories":2876},[127],{"categories":2878},[68],{"categories":2880},[183],{"categories":2882},[68],{"categories":2884},[127],{"categories":2886},[],{"categories":2888},[68],{"categories":2890},[68],{"categories":2892},[145],{"categories":2894},[119],{"categories":2896},[],{"categories":2898},[68],{"categories":2900},[68],{"categories":2902},[176],{"categories":2904},[166],{"categories":2906},[68,127],{"categories":2908},[183,122],{"categories":2910},[68],{"categories":2912},[],{"categories":2914},[127],{"categories":2916},[],{"categories":2918},[176],{"categories":2920},[68],{"categories":2922},[145],{"categories":2924},[],{"categories":2926},[127],{"categories":2928},[],{"categories":2930},[127],{"categories":2932},[119],{"categories":2934},[127],{"categories":2936},[68],{"categories":2938},[438],{"categories":2940},[183],{"categories":2942},[122],{"categories":2944},[122],{"categories":2946},[119],{"categories":2948},[119],{"categories":2950},[68],{"categories":2952},[127],{"categories":2954},[68],{"categories":2956},[68],{"categories":2958},[119],{"categories":2960},[68],{"categories":2962},[183],{"categories":2964},[145],{"categories":2966},[68],{"categories":2968},[127],{"categories":2970},[68],{"categories":2972},[],{"categories":2974},[176],{"categories":2976},[],{"categories":2978},[127],{"categories":2980},[119],{"categories":2982},[],{"categories":2984},[438],{"categories":2986},[68],{"categories":2988},[],{"categories":2990},[145],{"categories":2992},[127],{"categories":2994},[176],{"categories":2996},[68],{"categories":2998},[127],{"categories":3000},[176],{"categories":3002},[127],{"categories":3004},[145],{"categories":3006},[119],{"categories":3008},[145],{"categories":3010},[176],{"categories":3012},[68],{"categories":3014},[166],{"categories":3016},[68],{"categories":3018},[68],{"categories":3020},[68],{"categories":3022},[68],{"categories":3024},[127],{"categories":3026},[68],{"categories":3028},[127],{"categories":3030},[68],{"categories":3032},[119],{"categories":3034},[68],{"categories":3036},[127],{"categories":3038},[166],{"categories":3040},[119],{"categories":3042},[127],{"categories":3044},[166],{"categories":3046},[],{"categories":3048},[68],{"categories":3050},[68],{"categories":3052},[176],{"categories":3054},[],{"categories":3056},[127],{"categories":3058},[183],{"categories":3060},[68],{"categories":3062},[145],{"categories":3064},[183],{"categories":3066},[127],{"categories":3068},[122],{"categories":3070},[122],{"categories":3072},[68],{"categories":3074},[119],{"categories":3076},[],{"categories":3078},[68],{"categories":3080},[],{"categories":3082},[119],{"categories":3084},[68],{"categories":3086},[127],{"categories":3088},[127],{"categories":3090},[],{"categories":3092},[176],{"categories":3094},[176],{"categories":3096},[183],{"categories":3098},[166],{"categories":3100},[],{"categories":3102},[68],{"categories":3104},[119],{"categories":3106},[68],{"categories":3108},[176],{"categories":3110},[119],{"categories":3112},[145],{"categories":3114},[145],{"categories":3116},[],{"categories":3118},[145],{"categories":3120},[127],{"categories":3122},[166],{"categories":3124},[169],{"categories":3126},[68],{"categories":3128},[],{"categories":3130},[145],{"categories":3132},[176],{"categories":3134},[122],{"categories":3136},[68],{"categories":3138},[119],{"categories":3140},[438],{"categories":3142},[119],{"categories":3144},[],{"categories":3146},[],{"categories":3148},[145],{"categories":3150},[],{"categories":3152},[127],{"categories":3154},[127],{"categories":3156},[127],{"categories":3158},[],{"categories":3160},[68],{"categories":3162},[],{"categories":3164},[145],{"categories":3166},[119],{"categories":3168},[166],{"categories":3170},[68],{"categories":3172},[145],{"categories":3174},[145],{"categories":3176},[],{"categories":3178},[145],{"categories":3180},[119],{"categories":3182},[68],{"categories":3184},[],{"categories":3186},[127],{"categories":3188},[127],{"categories":3190},[119],{"categories":3192},[],{"categories":3194},[],{"categories":3196},[],{"categories":3198},[166],{"categories":3200},[127],{"categories":3202},[68],{"categories":3204},[],{"categories":3206},[],{"categories":3208},[],{"categories":3210},[166],{"categories":3212},[],{"categories":3214},[119],{"categories":3216},[],{"categories":3218},[],{"categories":3220},[166],{"categories":3222},[68],{"categories":3224},[145],{"categories":3226},[],{"categories":3228},[183],{"categories":3230},[145],{"categories":3232},[183],{"categories":3234},[68],{"categories":3236},[],{"categories":3238},[],{"categories":3240},[127],{"categories":3242},[],{"categories":3244},[],{"categories":3246},[127],{"categories":3248},[68],{"categories":3250},[],{"categories":3252},[127],{"categories":3254},[145],{"categories":3256},[183],{"categories":3258},[169],{"categories":3260},[127],{"categories":3262},[127],{"categories":3264},[],{"categories":3266},[],{"categories":3268},[],{"categories":3270},[145],{"categories":3272},[],{"categories":3274},[],{"categories":3276},[166],{"categories":3278},[119],{"categories":3280},[],{"categories":3282},[122],{"categories":3284},[183],{"categories":3286},[68],{"categories":3288},[176],{"categories":3290},[119],{"categories":3292},[169],{"categories":3294},[122],{"categories":3296},[176],{"categories":3298},[],{"categories":3300},[],{"categories":3302},[127],{"categories":3304},[119],{"categories":3306},[166],{"categories":3308},[119],{"categories":3310},[127],{"categories":3312},[438],{"categories":3314},[127],{"categories":3316},[],{"categories":3318},[68],{"categories":3320},[145],{"categories":3322},[176],{"categories":3324},[],{"categories":3326},[166],{"categories":3328},[145],{"categories":3330},[119],{"categories":3332},[127],{"categories":3334},[68],{"categories":3336},[122],{"categories":3338},[127,438],{"categories":3340},[127],{"categories":3342},[176],{"categories":3344},[68],{"categories":3346},[169],{"categories":3348},[183],{"categories":3350},[127],{"categories":3352},[],{"categories":3354},[127],{"categories":3356},[68],{"categories":3358},[122],{"categories":3360},[],{"categories":3362},[],{"categories":3364},[68],{"categories":3366},[169],{"categories":3368},[68],{"categories":3370},[],{"categories":3372},[145],{"categories":3374},[],{"categories":3376},[145],{"categories":3378},[176],{"categories":3380},[127],{"categories":3382},[68],{"categories":3384},[183],{"categories":3386},[176],{"categories":3388},[],{"categories":3390},[145],{"categories":3392},[68],{"categories":3394},[],{"categories":3396},[68],{"categories":3398},[127],{"categories":3400},[68],{"categories":3402},[127],{"categories":3404},[68],{"categories":3406},[68],{"categories":3408},[68],{"categories":3410},[68],{"categories":3412},[122],{"categories":3414},[],{"categories":3416},[130],{"categories":3418},[145],{"categories":3420},[68],{"categories":3422},[],{"categories":3424},[176],{"categories":3426},[68],{"categories":3428},[68],{"categories":3430},[127],{"categories":3432},[145],{"categories":3434},[68],{"categories":3436},[68],{"categories":3438},[122],{"categories":3440},[127],{"categories":3442},[166],{"categories":3444},[],{"categories":3446},[169],{"categories":3448},[68],{"categories":3450},[],{"categories":3452},[145],{"categories":3454},[183],{"categories":3456},[],{"categories":3458},[],{"categories":3460},[145],{"categories":3462},[145],{"categories":3464},[183],{"categories":3466},[119],{"categories":3468},[127],{"categories":3470},[127],{"categories":3472},[68],{"categories":3474},[122],{"categories":3476},[],{"categories":3478},[],{"categories":3480},[145],{"categories":3482},[169],{"categories":3484},[176],{"categories":3486},[127],{"categories":3488},[166],{"categories":3490},[169],{"categories":3492},[169],{"categories":3494},[],{"categories":3496},[145],{"categories":3498},[68],{"categories":3500},[68],{"categories":3502},[176],{"categories":3504},[],{"categories":3506},[145],{"categories":3508},[145],{"categories":3510},[145],{"categories":3512},[],{"categories":3514},[127],{"categories":3516},[68],{"categories":3518},[],{"categories":3520},[119],{"categories":3522},[122],{"categories":3524},[],{"categories":3526},[68],{"categories":3528},[68],{"categories":3530},[],{"categories":3532},[176],{"categories":3534},[],{"categories":3536},[],{"categories":3538},[],{"categories":3540},[],{"categories":3542},[68],{"categories":3544},[145],{"categories":3546},[],{"categories":3548},[],{"categories":3550},[68],{"categories":3552},[68],{"categories":3554},[68],{"categories":3556},[169],{"categories":3558},[68],{"categories":3560},[169],{"categories":3562},[],{"categories":3564},[169],{"categories":3566},[169],{"categories":3568},[438],{"categories":3570},[127],{"categories":3572},[176],{"categories":3574},[],{"categories":3576},[],{"categories":3578},[169],{"categories":3580},[176],{"categories":3582},[176],{"categories":3584},[176],{"categories":3586},[],{"categories":3588},[119],{"categories":3590},[176],{"categories":3592},[176],{"categories":3594},[119],{"categories":3596},[176],{"categories":3598},[122],{"categories":3600},[176],{"categories":3602},[176],{"categories":3604},[176],{"categories":3606},[169],{"categories":3608},[145],{"categories":3610},[145],{"categories":3612},[68],{"categories":3614},[176],{"categories":3616},[169],{"categories":3618},[438],{"categories":3620},[169],{"categories":3622},[169],{"categories":3624},[169],{"categories":3626},[],{"categories":3628},[122],{"categories":3630},[],{"categories":3632},[438],{"categories":3634},[176],{"categories":3636},[176],{"categories":3638},[176],{"categories":3640},[127],{"categories":3642},[145,122],{"categories":3644},[169],{"categories":3646},[],{"categories":3648},[],{"categories":3650},[169],{"categories":3652},[],{"categories":3654},[169],{"categories":3656},[145],{"categories":3658},[127],{"categories":3660},[],{"categories":3662},[176],{"categories":3664},[68],{"categories":3666},[166],{"categories":3668},[],{"categories":3670},[68],{"categories":3672},[],{"categories":3674},[145],{"categories":3676},[119],{"categories":3678},[169],{"categories":3680},[],{"categories":3682},[176],{"categories":3684},[145],[3686,3760,3822,3974],{"id":3687,"title":3688,"ai":3689,"body":3694,"categories":3730,"created_at":69,"date_modified":69,"description":61,"extension":70,"faq":69,"featured":71,"kicker_label":69,"meta":3731,"navigation":98,"path":3747,"published_at":3748,"question":69,"scraped_at":3749,"seo":3750,"sitemap":3751,"source_id":3752,"source_name":3753,"source_type":105,"source_url":3754,"stem":3755,"tags":3756,"thumbnail_url":69,"tldr":3757,"tweet":69,"unknown_tags":3758,"__hash__":3759},"summaries\u002Fsummaries\u002F9c05119c3bd0f686-sovereign-ai-grounds-robotics-in-physics-for-1-1m--summary.md","Sovereign AI Grounds Robotics in Physics for 1.1M States\u002FSec",{"provider":7,"model":8,"input_tokens":3690,"output_tokens":3691,"processing_time_ms":3692,"cost_usd":3693},4417,1733,23053,0.0017274,{"type":14,"value":3695,"toc":3724},[3696,3700,3703,3707,3710,3714,3717,3721],[17,3697,3699],{"id":3698},"build-sub-millisecond-robotics-control-with-jax-tpu-v6","Build Sub-Millisecond Robotics Control with JAX + TPU v6",[22,3701,3702],{},"To overcome reinforcement learning's brittleness in real-world chaos, Sovereign AI leverages JAX 0.9.0+ on Google's TPU v6 Trillium for extreme speed: over 1.1 million states per second at 0.894 ms latency. This ensures a 22-DoF humanoid robot processes decisions faster than its actuators move, preventing delays that cause falls. Implement by running the full notebook on GitHub (frank-morales2020\u002FMLxDL), which integrates hardware acceleration for latent space computations without simulation pitfalls.",[17,3704,3706],{"id":3705},"anchor-predictions-to-physics-laws-via-jepa-for-47x-failure-sensitivity","Anchor Predictions to Physics Laws via JEPA for 4.7x Failure Sensitivity",[22,3708,3709],{},"Joint Embedding Predictive Architecture (JEPA) operates in a physics-informed latent space, using a Physics Anchor to monitor energy patterns. Detect anomalies by thresholding: energy loss of 8.5467 signals motor seizure (failure), while expansion of 4.8101 indicates intentional momentum for maneuvers like sideways slides. This delivers 4.7x greater sensitivity over traditional methods, grounding neural predictions in conservation laws so AI distinguishes planned actions from disasters in real time.",[17,3711,3713],{"id":3712},"gain-auditability-and-recovery-with-gemini-31-pro-oversight","Gain Auditability and Recovery with Gemini 3.1 Pro Oversight",[22,3715,3716],{},"Feed JEPA's abstract metrics into Gemini 3.1 Pro's Deep Thinking mode as the executive controller. It translates spikes into human-readable reports, diagnosing joint failures or sensor glitches, then outputs recovery plans. This Sovereign Return on Investment (SROI) enables full energy expenditure audits, making decisions transparent and recoverable rather than black-box guesses.",[17,3718,3720],{"id":3719},"slash-bandwidth-797-for-6g-scale-autonomy-with-semantic-compression","Slash Bandwidth 79.7% for 6G-Scale Autonomy with Semantic Compression",[22,3722,3723],{},"Compress data to transmit only semantic meaning, not raw sensors, yielding 79.7% bandwidth savings. For 6G networks, this sustains high-fidelity autonomy in bandwidth-constrained environments, ensuring reliable physical-world deployment without overwhelming infrastructure.",{"title":61,"searchDepth":62,"depth":62,"links":3725},[3726,3727,3728,3729],{"id":3698,"depth":62,"text":3699},{"id":3705,"depth":62,"text":3706},{"id":3712,"depth":62,"text":3713},{"id":3719,"depth":62,"text":3720},[68],{"content_references":3732,"triage":3743},[3733,3737,3739,3741],{"type":3734,"title":3735,"url":3736,"context":79},"tool","MLxDL (GEMINI_TPU.ipynb)","https:\u002F\u002Fgithub.com\u002Ffrank-morales2020\u002FMLxDL\u002Fblob\u002Fmain\u002FGEMINI_TPU.ipynb",{"type":3734,"title":3738,"context":79},"JAX 0.9.0+",{"type":3734,"title":3740,"context":79},"TPU v6 Trillium",{"type":3734,"title":3742,"context":79},"Gemini 3.1 Pro",{"relevance":3744,"novelty":94,"quality":94,"actionability":94,"composite":3745,"reasoning":3746},5,4.35,"Category: AI & LLMs. The article provides in-depth insights into using AI for robotics control, addressing practical applications like real-time decision-making and failure detection, which are crucial for product builders. It includes specific frameworks and tools like JAX and JEPA, making it actionable for developers looking to implement these techniques.","\u002Fsummaries\u002F9c05119c3bd0f686-sovereign-ai-grounds-robotics-in-physics-for-1-1m-summary","2026-05-08 15:34:13","2026-05-09 15:36:56",{"title":3688,"description":61},{"loc":3747},"9c05119c3bd0f686","AI Simplified in Plain English","https:\u002F\u002Fmedium.com\u002Fai-simplified-in-plain-english\u002Fsovereign-ai-bridging-the-gap-between-neural-logic-and-physical-reality-27847c54ddbc?source=rss----f37ab7d4e76b---4","summaries\u002F9c05119c3bd0f686-sovereign-ai-grounds-robotics-in-physics-for-1-1m--summary",[109,112,110],"Sovereign AI uses JEPA with physics anchors on JAX\u002FTPU v6 to process 1.1M states\u002Fsec at 0.894ms latency, detecting failures 4.7x better via energy patterns, with Gemini 3.1 Pro generating auditable reports and recovery plans.",[],"S_G2pfMpHvfDy7cXXXBE5nN5ar3Jtvpq5EuPS2bYuY8",{"id":3761,"title":3762,"ai":3763,"body":3768,"categories":3797,"created_at":69,"date_modified":69,"description":61,"extension":70,"faq":69,"featured":71,"kicker_label":69,"meta":3798,"navigation":98,"path":3809,"published_at":3810,"question":69,"scraped_at":3811,"seo":3812,"sitemap":3813,"source_id":3814,"source_name":3815,"source_type":105,"source_url":3816,"stem":3817,"tags":3818,"thumbnail_url":69,"tldr":3819,"tweet":69,"unknown_tags":3820,"__hash__":3821},"summaries\u002Fsummaries\u002F4e271633d433ef16-gemma-4-mtp-drafters-3x-faster-inference-no-qualit-summary.md","Gemma 4 MTP Drafters: 3x Faster Inference, No Quality Loss",{"provider":7,"model":8,"input_tokens":3764,"output_tokens":3765,"processing_time_ms":3766,"cost_usd":3767},7596,1980,21477,0.00248655,{"type":14,"value":3769,"toc":3793},[3770,3774,3777,3780,3784,3787,3790],[17,3771,3773],{"id":3772},"speculative-decoding-overcomes-autoregressive-latency","Speculative Decoding Overcomes Autoregressive Latency",[22,3775,3776],{},"Standard LLM inference generates one token at a time autoregressively, creating a memory-bandwidth bottleneck: billions of parameters load from VRAM per token, leaving GPUs underutilized as data transfer dominates. Even predictable tokens (e.g., 'words' after 'Actions speak louder than...') require full computation, equal to complex reasoning steps.",[22,3778,3779],{},"Speculative decoding fixes this by pairing a small, fast drafter model with the large target (Gemma 4). The drafter proposes a sequence of tokens quickly—faster than the target processes one. The target verifies the entire draft in one parallel forward pass. Matches accept the full sequence plus one extra target-generated token, all in the time of a single standard pass. Verification ensures identical outputs to vanilla autoregressive generation, delivering lossless speedup. Gemma 4 drafters hit up to 3x overall inference speed post-60M downloads.",[17,3781,3783],{"id":3782},"mtp-architecture-shares-resources-for-edge-and-scale","MTP Architecture Shares Resources for Edge and Scale",[22,3785,3786],{},"Gemma 4's Multi-Token Prediction (MTP) drafters enhance speculative decoding by sharing the target's KV cache—storing prior attention computations—avoiding redundant context recompute. This cuts drafter overhead sharply.",[22,3788,3789],{},"For edge variants (E2B, E4B) on mobile, embedder-layer clustering accelerates logit computation (internal reps to vocab probabilities), targeting hardware-limited final steps. On Gemma 4 26B MoE, Apple Silicon sees ~2.2x speedup at batch size 4-8 (vs. batch 1 routing issues); NVIDIA A100 shows batch-dependent gains too.",[22,3791,3792],{},"Implement via Hugging Face Gemma 4 collections; speeds production apps without quality or accuracy trade-offs.",{"title":61,"searchDepth":62,"depth":62,"links":3794},[3795,3796],{"id":3772,"depth":62,"text":3773},{"id":3782,"depth":62,"text":3783},[68],{"content_references":3799,"triage":3806},[3800,3802],{"type":3734,"title":3801,"url":78,"context":79},"Gemma 4 Model Weights",{"type":75,"title":3803,"url":3804,"context":3805},"Multi-Token Prediction for Gemma 4","https:\u002F\u002Fblog.google\u002Finnovation-and-ai\u002Ftechnology\u002Fdevelopers-tools\u002Fmulti-token-prediction-gemma-4\u002F?linkId=61725841","recommended",{"relevance":94,"novelty":95,"quality":94,"actionability":94,"composite":3807,"reasoning":3808},3.8,"Category: AI & LLMs. The article discusses the new Multi-Token Prediction (MTP) drafters for Gemma 4, which addresses a specific pain point of inference speed in AI models, making it relevant for developers looking to implement faster AI features. It provides actionable insights on how to implement this technology via Hugging Face, which adds to its practical value.","\u002Fsummaries\u002F4e271633d433ef16-gemma-4-mtp-drafters-3x-faster-inference-no-qualit-summary","2026-05-06 08:23:04","2026-05-06 16:14:12",{"title":3762,"description":61},{"loc":3809},"4e271633d433ef16","MarkTechPost","https:\u002F\u002Fwww.marktechpost.com\u002F2026\u002F05\u002F06\u002Fgoogle-ai-releases-multi-token-prediction-mtp-drafters-for-gemma-4-delivering-up-to-3x-faster-inference-without-quality-loss\u002F","summaries\u002F4e271633d433ef16-gemma-4-mtp-drafters-3x-faster-inference-no-qualit-summary",[109,112,110],"Pair Gemma 4 with lightweight MTP drafters using speculative decoding to generate up to 3x more tokens per pass by drafting sequences and verifying in parallel, sharing KV cache for efficiency without altering outputs.",[],"9zKQbGealE55IZRdNqkOAfuDfHteluCgF1trH9nWXc4",{"id":3823,"title":3824,"ai":3825,"body":3830,"categories":3956,"created_at":69,"date_modified":69,"description":61,"extension":70,"faq":69,"featured":71,"kicker_label":69,"meta":3957,"navigation":98,"path":3961,"published_at":3962,"question":69,"scraped_at":3963,"seo":3964,"sitemap":3965,"source_id":3966,"source_name":3967,"source_type":105,"source_url":3968,"stem":3969,"tags":3970,"thumbnail_url":69,"tldr":3971,"tweet":69,"unknown_tags":3972,"__hash__":3973},"summaries\u002Fsummaries\u002F52c09fb0d5574887-ai-coders-default-to-hardcoded-keyword-rules-summary.md","AI Coders Default to Hardcoded Keyword Rules",{"provider":7,"model":8,"input_tokens":3826,"output_tokens":3827,"processing_time_ms":3828,"cost_usd":3829},3884,1981,24462,0.0017448,{"type":14,"value":3831,"toc":3952},[3832,3836,3839,3842,3938,3941,3945,3948],[17,3833,3835],{"id":3834},"ais-preference-for-simple-rules-over-intelligence","AI's Preference for Simple Rules Over Intelligence",[22,3837,3838],{},"AI coding assistants consistently produce hardcoded solutions for tasks requiring judgment, like classifying project documents into categories such as standards, drawings, specifications, contracts, or general notes. Instead of using LLMs for contextual analysis, they default to keyword dictionaries and string matching. This solves the immediate problem but creates brittle code that fails on edge cases, as it treats intelligence problems without actual intelligence.",[22,3840,3841],{},"To classify from title and description, the AI outputs:",[3843,3844,3848],"pre",{"className":3845,"code":3846,"language":3847,"meta":61,"style":61},"language-python shiki shiki-themes github-light github-dark","DOCUMENT_TYPES = {\n    \"spec\": \"specification\",\n    \"drawing\": \"drawing\",\n    \"standard\": \"standard\",\n    \"contract\": \"contract\",\n    \"agreement\": \"contract\",\n    \"scope\": \"scope\",\n}\n\ndef classify_document(title, description):\n    text = f\"{title} {description}\".lower()\n    for keyword, document_type in DOCUMENT_TYPES.items():\n        if keyword in text:\n            return document_type\n    return \"general\"\n","python",[3849,3850,3851,3858,3863,3868,3873,3878,3884,3890,3896,3902,3908,3914,3920,3926,3932],"code",{"__ignoreMap":61},[46,3852,3855],{"class":3853,"line":3854},"line",1,[46,3856,3857],{},"DOCUMENT_TYPES = {\n",[46,3859,3860],{"class":3853,"line":62},[46,3861,3862],{},"    \"spec\": \"specification\",\n",[46,3864,3865],{"class":3853,"line":95},[46,3866,3867],{},"    \"drawing\": \"drawing\",\n",[46,3869,3870],{"class":3853,"line":94},[46,3871,3872],{},"    \"standard\": \"standard\",\n",[46,3874,3875],{"class":3853,"line":3744},[46,3876,3877],{},"    \"contract\": \"contract\",\n",[46,3879,3881],{"class":3853,"line":3880},6,[46,3882,3883],{},"    \"agreement\": \"contract\",\n",[46,3885,3887],{"class":3853,"line":3886},7,[46,3888,3889],{},"    \"scope\": \"scope\",\n",[46,3891,3893],{"class":3853,"line":3892},8,[46,3894,3895],{},"}\n",[46,3897,3899],{"class":3853,"line":3898},9,[46,3900,3901],{"emptyLinePlaceholder":98},"\n",[46,3903,3905],{"class":3853,"line":3904},10,[46,3906,3907],{},"def classify_document(title, description):\n",[46,3909,3911],{"class":3853,"line":3910},11,[46,3912,3913],{},"    text = f\"{title} {description}\".lower()\n",[46,3915,3917],{"class":3853,"line":3916},12,[46,3918,3919],{},"    for keyword, document_type in DOCUMENT_TYPES.items():\n",[46,3921,3923],{"class":3853,"line":3922},13,[46,3924,3925],{},"        if keyword in text:\n",[46,3927,3929],{"class":3853,"line":3928},14,[46,3930,3931],{},"            return document_type\n",[46,3933,3935],{"class":3853,"line":3934},15,[46,3936,3937],{},"    return \"general\"\n",[22,3939,3940],{},"This generates functional code in under a minute but relies on exact keyword presence, ignoring synonyms, context, or ambiguity.",[17,3942,3944],{"id":3943},"developer-workflow-fix-review-and-refactor","Developer Workflow Fix: Review and Refactor",[22,3946,3947],{},"The real work starts post-generation: developers must spot assumptions in the code, like rigid mappings (e.g., \"agreement\" and \"scope\" as \"contract\" or separate). Refactor by prompting for LLM-based classification to handle nuance, such as embedding text and cosine similarity or direct LLM prompting for categories. This pattern repeats often, so always audit AI outputs for over-simplification—quick wins hide scalability issues.",[3949,3950,3951],"style",{},"html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html.dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}",{"title":61,"searchDepth":62,"depth":62,"links":3953},[3954,3955],{"id":3834,"depth":62,"text":3835},{"id":3943,"depth":62,"text":3944},[68],{"content_references":3958,"triage":3959},[],{"relevance":94,"novelty":95,"quality":94,"actionability":94,"composite":3807,"reasoning":3960},"Category: AI & LLMs. The article discusses the limitations of AI coding assistants in generating hardcoded solutions for document classification, addressing a specific pain point for developers who need to ensure their AI outputs are robust and scalable. It provides actionable advice on how to refactor AI-generated code to improve its effectiveness, which is directly applicable to the audience's work.","\u002Fsummaries\u002F52c09fb0d5574887-ai-coders-default-to-hardcoded-keyword-rules-summary","2026-05-06 03:02:16","2026-05-06 16:13:39",{"title":3824,"description":61},{"loc":3961},"52c09fb0d5574887","Generative AI","https:\u002F\u002Fgenerativeai.pub\u002Fwhy-ai-coding-assistants-keep-writing-hardcoded-solutions-eaa05f08b030?source=rss----440100e76000---4","summaries\u002F52c09fb0d5574887-ai-coders-default-to-hardcoded-keyword-rules-summary",[110,109,111],"AI coding assistants generate brittle keyword-matching code for document classification tasks needing judgment, producing working but non-intelligent solutions in under a minute.",[],"kqJ5osP54sjfnupj05EnVgQpmnqa0htsI_G5ptH6waQ",{"id":3975,"title":3976,"ai":3977,"body":3982,"categories":4010,"created_at":69,"date_modified":69,"description":61,"extension":70,"faq":69,"featured":71,"kicker_label":69,"meta":4011,"navigation":98,"path":4019,"published_at":4020,"question":69,"scraped_at":4021,"seo":4022,"sitemap":4023,"source_id":4024,"source_name":3753,"source_type":105,"source_url":4025,"stem":4026,"tags":4027,"thumbnail_url":69,"tldr":4028,"tweet":69,"unknown_tags":4029,"__hash__":4030},"summaries\u002Fsummaries\u002F08b25789acb70cdd-h2e-deterministic-safety-via-riemannian-multimodal-summary.md","H2E: Deterministic Safety via Riemannian Multimodal Fusion",{"provider":7,"model":8,"input_tokens":3978,"output_tokens":3979,"processing_time_ms":3980,"cost_usd":3981},4354,1385,20289,0.0015408,{"type":14,"value":3983,"toc":4005},[3984,3988,3991,3995,3998,4002],[17,3985,3987],{"id":3986},"compressed-models-enable-edge-multimodal-processing","Compressed Models Enable Edge Multimodal Processing",[22,3989,3990],{},"Achieve expert-level reliability on restricted hardware using three quantized models: Sarvam-30b for text (FP8 quantization, METEOR score 0.9964), Voxtral-Mini-4B for audio-to-text (3% word error rate in real-time), and Gemma 4 E4B for vision (2.63 GB RAM). These process sensory inputs—text, audio, vision—into a unified representation, avoiding black-box unpredictability by prioritizing efficiency without sacrificing performance. This setup allows deployment on edge devices while handling complex multimodal data.",[17,3992,3994],{"id":3993},"riemannian-geometry-enforces-hard-safety-bounds","Riemannian Geometry Enforces Hard Safety Bounds",[22,3996,3997],{},"Project all modalities onto a Riemannian product manifold M = H² × SPD(3) to compute geodesic distance d_M between AI intent and a safe submanifold. The SROI Gate acts as a circuit breaker: if exp(-d_M) ≥ 0.9583, the intent proceeds to the cognitive layer; otherwise, it's rejected outright. This geometric governance creates a deterministic \"Riemannian Hard Stop,\" ensuring only safe intents generate responses, eliminating stochastic hallucinations through eager execution and fixed seeds for reproducible outcomes.",[17,3999,4001],{"id":4000},"audit-trails-and-energy-tracking-for-sustainable-governance","Audit Trails and Energy Tracking for Sustainable Governance",[22,4003,4004],{},"Assign a Deterministic Audit Hash to every interaction, providing a traceable record of manifold-based reasoning for full transparency. Integrate carbon intensity monitoring to track energy use, setting a benchmark for eco-friendly AI. Fixed seeds guarantee identical inputs yield identical safe outputs, making the system suitable for safety-critical applications while remaining accessible on edge hardware.",{"title":61,"searchDepth":62,"depth":62,"links":4006},[4007,4008,4009],{"id":3986,"depth":62,"text":3987},{"id":3993,"depth":62,"text":3994},{"id":4000,"depth":62,"text":4001},[68],{"content_references":4012,"triage":4016},[4013],{"type":75,"title":4014,"url":4015,"context":79},"H2E_DEMO_UNESCO.ipynb","https:\u002F\u002Fgithub.com\u002Ffrank-morales2020\u002FMLxDL\u002Fblob\u002Fmain\u002FH2E_DEMO_UNESCO.ipynb",{"relevance":95,"novelty":95,"quality":94,"actionability":62,"composite":4017,"reasoning":4018},3.05,"Category: AI & LLMs. The article discusses a framework for ensuring deterministic safety in AI systems, which is relevant to AI engineering. However, it lacks practical applications or detailed guidance that the target audience could directly implement.","\u002Fsummaries\u002F08b25789acb70cdd-h2e-deterministic-safety-via-riemannian-multimodal-summary","2026-05-02 04:30:14","2026-05-03 17:01:06",{"title":3976,"description":61},{"loc":4019},"08b25789acb70cdd","https:\u002F\u002Fmedium.com\u002Fai-simplified-in-plain-english\u002Fsovereign-ai-governance-establishing-a-deterministic-multimodal-safety-layer-via-the-h2e-framework-d016fc25dca0?source=rss----f37ab7d4e76b---4","summaries\u002F08b25789acb70cdd-h2e-deterministic-safety-via-riemannian-multimodal-summary",[109,112,110],"H2E framework fuses text\u002Faudio\u002Fvision inputs from compressed models into a Riemannian manifold, enforcing safety with SROI Gate that rejects intents where exp(-d_M) \u003C 0.9583, guaranteeing deterministic, auditable AI behavior on edge hardware.",[],"xtGHBY8kC11tmMBYGJx46JXKZ3NCDBwHbNFoq_jx9RA"]