[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"summary-tripo-ai-hd-v3-1-turns-photos-into-production-3d-a-summary":3,"summaries-facets-categories":67,"summary-related-tripo-ai-hd-v3-1-turns-photos-into-production-3d-a-summary":3660},{"id":4,"title":5,"ai":6,"body":13,"categories":46,"created_at":48,"date_modified":48,"description":40,"extension":49,"faq":48,"featured":50,"kicker_label":48,"meta":51,"navigation":52,"path":53,"published_at":54,"question":48,"scraped_at":48,"seo":55,"sitemap":56,"source_id":57,"source_name":58,"source_type":59,"source_url":60,"stem":61,"tags":62,"thumbnail_url":48,"tldr":64,"tweet":48,"unknown_tags":65,"__hash__":66},"summaries\u002Fsummaries\u002Ftripo-ai-hd-v3-1-turns-photos-into-production-3d-a-summary.md","Tripo AI HD V3.1 Turns Photos into Production 3D Assets",{"provider":7,"model":8,"input_tokens":9,"output_tokens":10,"processing_time_ms":11,"cost_usd":12},"openrouter","x-ai\u002Fgrok-4.1-fast",6621,1522,14182,0.0016109,{"type":14,"value":15,"toc":39},"minimark",[16,21,25,29,32,36],[17,18,20],"h2",{"id":19},"excels-at-detail-retention-and-unseen-angle-inference","Excels at Detail Retention and Unseen Angle Inference",[22,23,24],"p",{},"Upload a single photo to Tripo Studio, optionally generate a multi-view grid first for angle preview, then create the 3D asset at Ultra quality with PBR enabled for realistic lighting. In tests with a Google Pixel 8 photo of cat Pebbles, it preserved stripe fur textures under zoom, inferred believable back and side views despite no reference, and only minorly trimmed whiskers. For LEGO Hedwig figure amid blurry background, it isolated the subject cleanly, rendered glossy eyes vs matte plastic accurately via PBR, nailed \"Privet Drive\" text, and hallucinated plausible unseen back details like missing tail pieces. Vase of flowers showed coherent striped texture on vase but lost petal density and stem intricacy due to source complexity. Overall, outputs export as rotatable, high-definition meshes ready for use, far sharper than Microsoft's free Copilot 3D which blurs details and struggles with text or refusals.",[17,26,28],{"id":27},"trade-offs-strong-on-coherence-weaker-on-dense-complexity","Trade-offs: Strong on Coherence, Weaker on Dense Complexity",[22,30,31],{},"Expect 3-4 minute generations at max settings; free tier available but premium unlocks more. Strengths include object isolation from noisy backgrounds, material differentiation (e.g., reflective eyes), and cat-like pose understanding for fills. Weaknesses emerge in chaotic scenes like intertwined flower stems, where fidelity drops without multi-angle inputs—use multi-view grid to mitigate. Not a full pro sculpting replacement, but elevates beyond toy-like prototypes to production-viable for rapid iteration. Copilot lags in zoomable detail and consistency, making Tripo the pick for faithful photo-to-3D.",[17,33,35],{"id":34},"builder-applications-beyond-games","Builder Applications Beyond Games",[22,37,38],{},"Skip game dev assumptions: Export to 3D printers for pet\u002Fplant replicas, convert product shots to interactive 360° e-commerce viewers boosting engagement, chain AI images to 3D for custom characters, or 3D-ify kids' drawings for fun. Speeds prototyping in AR\u002FVR worlds or physical testing. Start at Tripo Studio: upload image → optional multi-view → generate with PBR → inspect point cloud preview → download.",{"title":40,"searchDepth":41,"depth":41,"links":42},"",2,[43,44,45],{"id":19,"depth":41,"text":20},{"id":27,"depth":41,"text":28},{"id":34,"depth":41,"text":35},[47],"Design & Frontend",null,"md",false,{},true,"\u002Fsummaries\u002Ftripo-ai-hd-v3-1-turns-photos-into-production-3d-a-summary","2026-04-08 21:21:17",{"title":5,"description":40},{"loc":53},"a83853ae28c95bad","Why Try AI","article","https:\u002F\u002Funknown","summaries\u002Ftripo-ai-hd-v3-1-turns-photos-into-production-3d-a-summary",[63],"ai-tools","Tripo's HD Model V3.1 generates detailed, PBR-enabled 3D models from single smartphone photos in 3-4 minutes at ultra settings, excelling on fur textures, text, and unseen angles over Copilot 3D.",[],"KxB6d_ajNTd0cj1BdtZB6zEd6gVIjYaHi19hGO-i3o4",[68,71,74,77,80,83,85,87,89,91,93,95,98,100,102,104,106,108,110,112,114,116,118,121,123,125,128,130,132,135,137,139,141,143,145,147,149,151,153,155,157,159,161,163,165,167,169,171,173,175,177,179,181,183,185,187,189,191,193,195,197,199,201,203,205,207,209,211,213,215,217,219,221,223,225,227,229,231,234,236,238,240,242,244,246,248,250,252,254,256,258,260,262,264,266,268,270,272,274,276,278,280,282,284,286,288,290,292,294,296,298,300,302,304,306,308,310,312,314,316,318,320,322,324,326,328,330,332,334,336,338,340,342,344,346,348,350,352,354,356,358,360,362,364,366,368,370,372,374,376,378,380,382,384,386,388,390,392,394,396,398,400,402,404,406,408,410,412,414,416,418,420,422,424,426,428,430,432,434,436,438,440,442,444,446,448,450,452,454,456,458,460,462,464,466,468,470,472,474,476,478,480,482,484,486,488,490,492,494,496,498,500,502,504,506,508,510,512,514,516,518,520,522,524,526,528,530,532,534,536,538,540,542,544,546,548,550,552,554,556,558,560,562,564,566,568,570,572,574,576,578,580,582,584,586,588,590,592,594,596,598,600,602,604,606,608,610,612,614,616,618,620,622,624,626,628,630,632,634,636,638,640,642,644,646,648,650,652,654,656,658,660,662,664,666,668,670,672,674,676,678,680,682,684,686,688,690,692,694,696,698,700,702,704,706,708,710,712,714,716,718,720,722,724,726,728,730,732,734,736,738,740,742,744,746,748,750,752,754,756,758,760,762,764,766,768,770,772,774,776,778,780,782,784,786,788,790,792,794,796,798,800,802,804,806,808,810,812,814,816,818,820,822,824,826,828,830,832,834,836,838,840,842,844,846,848,850,852,854,856,858,860,862,864,866,868,870,872,874,876,878,880,882,884,886,888,890,892,894,896,898,900,902,904,906,908,910,912,914,916,918,920,922,924,926,928,930,932,934,936,938,940,942,944,946,948,950,952,954,956,958,960,962,964,966,968,970,972,974,976,978,980,982,984,986,988,990,992,994,996,998,1000,1002,1004,1006,1008,1010,1012,1014,1016,1018,1020,1022,1024,1026,1028,1030,1032,1034,1036,1038,1040,1042,1044,1046,1048,1050,1052,1054,1056,1058,1060,1062,1064,1066,1068,1070,1072,1074,1076,1078,1080,1082,1084,1086,1088,1090,1092,1094,1096,1098,1100,1102,1104,1106,1108,1110,1112,1114,1116,1118,1120,1122,1124,1126,1128,1130,1132,1134,1136,1138,1140,1142,1144,1146,1148,1150,1152,1154,1156,1158,1160,1162,1164,1166,1168,1170,1172,1174,1176,1178,1180,1182,1184,1186,1188,1190,1192,1194,1196,1198,1200,1202,1204,1206,1208,1210,1212,1214,1216,1218,1220,1222,1224,1226,1228,1230,1232,1234,1236,1238,1240,1242,1244,1246,1248,1250,1252,1254,1256,1258,1260,1262,1264,1266,1268,1270,1272,1274,1276,1278,1280,1282,1284,1286,1288,1290,1292,1294,1296,1298,1300,1302,1304,1306,1308,1310,1312,1314,1316,1318,1320,1322,1324,1326,1328,1330,1332,1334,1336,1338,1340,1342,1344,1346,1348,1350,1352,1354,1356,1358,1360,1362,1364,1366,1368,1370,1372,1374,1376,1378,1380,1382,1384,1386,1388,1390,1392,1394,1396,1398,1400,1402,1404,1406,1408,1410,1412,1414,1416,1418,1420,1422,1424,1426,1428,1430,1432,1434,1436,1438,1440,1442,1444,1446,1448,1450,1452,1454,1456,1458,1460,1462,1464,1466,1468,1470,1472,1474,1476,1478,1480,1482,1484,1486,1488,1490,1492,1494,1496,1498,1500,1502,1504,1506,1508,1510,1512,1514,1516,1518,1520,1522,1524,1526,1528,1530,1532,1534,1536,1538,1540,1542,1544,1546,1548,1550,1552,1554,1556,1558,1560,1562,1564,1566,1568,1570,1572,1574,1576,1578,1580,1582,1584,1586,1588,1590,1592,1594,1596,1598,1600,1602,1604,1606,1608,1610,1612,1614,1616,1618,1620,1622,1624,1626,1628,1630,1632,1634,1636,1638,1640,1642,1644,1646,1648,1650,1652,1654,1656,1658,1660,1662,1664,1666,1668,1670,1672,1674,1676,1678,1680,1682,1684,1686,1688,1690,1692,1694,1696,1698,1700,1702,1704,1706,1708,1710,1712,1714,1716,1718,1720,1722,1724,1726,1728,1730,1732,1734,1736,1738,1740,1742,1744,1746,1748,1750,1752,1754,1756,1758,1760,1762,1764,1766,1768,1770,1772,1774,1776,1778,1780,1782,1784,1786,1788,1790,1792,1794,1796,1798,1800,1802,1804,1806,1808,1810,1812,1814,1816,1818,1820,1822,1824,1826,1828,1830,1832,1834,1836,1838,1840,1842,1844,1846,1848,1850,1852,1854,1856,1858,1860,1862,1864,1866,1868,1870,1872,1874,1876,1878,1880,1882,1884,1886,1888,1890,1892,1894,1896,1898,1900,1902,1904,1906,1908,1910,1912,1914,1916,1918,1920,1922,1924,1926,1928,1930,1932,1934,1936,1938,1940,1942,1944,1946,1948,1950,1952,1954,1956,1958,1960,1962,1964,1966,1968,1970,1972,1974,1976,1978,1980,1982,1984,1986,1988,1990,1992,1994,1996,1998,2000,2002,2004,2006,2008,2010,2012,2014,2016,2018,2020,2022,2024,2026,2028,2030,2032,2034,2036,2038,2040,2042,2044,2046,2048,2050,2052,2054,2056,2058,2060,2062,2064,2066,2068,2070,2072,2074,2076,2078,2080,2082,2084,2086,2088,2090,2092,2094,2096,2098,2100,2102,2104,2106,2108,2110,2112,2114,2116,2118,2120,2122,2124,2126,2128,2130,2132,2134,2136,2138,2140,2142,2144,2146,2148,2150,2152,2154,2156,2158,2160,2162,2164,2166,2168,2170,2172,2174,2176,2178,2180,2182,2184,2186,2188,2190,2192,2194,2196,2198,2200,2202,2204,2206,2208,2210,2212,2214,2216,2218,2220,2222,2224,2226,2228,2230,2232,2234,2236,2238,2240,2242,2244,2246,2248,2250,2252,2254,2256,2258,2260,2262,2264,2266,2268,2270,2272,2274,2276,2278,2280,2282,2284,2286,2288,2290,2292,2294,2296,2298,2300,2302,2304,2306,2308,2310,2312,2314,2316,2318,2320,2322,2324,2326,2328,2330,2332,2334,2336,2338,2340,2342,2344,2346,2348,2350,2352,2354,2356,2358,2360,2362,2364,2366,2368,2370,2372,2374,2376,2378,2380,2382,2384,2386,2388,2390,2392,2394,2396,2398,2400,2402,2404,2406,2408,2410,2412,2414,2416,2418,2420,2422,2424,2426,2428,2430,2432,2434,2436,2438,2440,2442,2444,2446,2448,2450,2452,2454,2456,2458,2460,2462,2464,2466,2468,2470,2472,2474,2476,2478,2480,2482,2484,2486,2488,2490,2492,2494,2496,2498,2500,2502,2504,2506,2508,2510,2512,2514,2516,2518,2520,2522,2524,2526,2528,2530,2532,2534,2536,2538,2540,2542,2544,2546,2548,2550,2552,2554,2556,2558,2560,2562,2564,2566,2568,2570,2572,2574,2576,2578,2580,2582,2584,2586,2588,2590,2592,2594,2596,2598,2600,2602,2604,2606,2608,2610,2612,2614,2616,2618,2620,2622,2624,2626,2628,2630,2632,2634,2636,2638,2640,2642,2644,2646,2648,2650,2652,2654,2656,2658,2660,2662,2664,2666,2668,2670,2672,2674,2676,2678,2680,2682,2684,2686,2688,2690,2692,2694,2696,2698,2700,2702,2704,2706,2708,2710,2712,2714,2716,2718,2720,2722,2724,2726,2728,2730,2732,2734,2736,2738,2740,2742,2744,2746,2748,2750,2752,2754,2756,2758,2760,2762,2764,2766,2768,2770,2772,2774,2776,2778,2780,2782,2784,2786,2788,2790,2792,2794,2796,2798,2800,2802,2804,2806,2808,2810,2812,2814,2816,2818,2820,2822,2824,2826,2828,2830,2832,2834,2836,2838,2840,2842,2844,2846,2848,2850,2852,2854,2856,2858,2860,2862,2864,2866,2868,2870,2872,2874,2876,2878,2880,2882,2884,2886,2888,2890,2892,2894,2896,2898,2900,2902,2904,2906,2908,2910,2912,2914,2916,2918,2920,2922,2924,2926,2928,2930,2932,2934,2936,2938,2940,2942,2944,2946,2948,2950,2952,2954,2956,2958,2960,2962,2964,2966,2968,2970,2972,2974,2976,2978,2980,2982,2984,2986,2988,2990,2992,2994,2996,2998,3000,3002,3004,3006,3008,3010,3012,3014,3016,3018,3020,3022,3024,3026,3028,3030,3032,3034,3036,3038,3040,3042,3044,3046,3048,3050,3052,3054,3056,3058,3060,3062,3064,3066,3068,3070,3072,3074,3076,3078,3080,3082,3084,3086,3088,3090,3092,3094,3096,3098,3100,3102,3104,3106,3108,3110,3112,3114,3116,3118,3120,3122,3124,3126,3128,3130,3132,3134,3136,3138,3140,3142,3144,3146,3148,3150,3152,3154,3156,3158,3160,3162,3164,3166,3168,3170,3172,3174,3176,3178,3180,3182,3184,3186,3188,3190,3192,3194,3196,3198,3200,3202,3204,3206,3208,3210,3212,3214,3216,3218,3220,3222,3224,3226,3228,3230,3232,3234,3236,3238,3240,3242,3244,3246,3248,3250,3252,3254,3256,3258,3260,3262,3264,3266,3268,3270,3272,3274,3276,3278,3280,3282,3284,3286,3288,3290,3292,3294,3296,3298,3300,3302,3304,3306,3308,3310,3312,3314,3316,3318,3320,3322,3324,3326,3328,3330,3332,3334,3336,3338,3340,3342,3344,3346,3348,3350,3352,3354,3356,3358,3360,3362,3364,3366,3368,3370,3372,3374,3376,3378,3380,3382,3384,3386,3388,3390,3392,3394,3396,3398,3400,3402,3404,3406,3408,3410,3412,3414,3416,3418,3420,3422,3424,3426,3428,3430,3432,3434,3436,3438,3440,3442,3444,3446,3448,3450,3452,3454,3456,3458,3460,3462,3464,3466,3468,3470,3472,3474,3476,3478,3480,3482,3484,3486,3488,3490,3492,3494,3496,3498,3500,3502,3504,3506,3508,3510,3512,3514,3516,3518,3520,3522,3524,3526,3528,3530,3532,3534,3536,3538,3540,3542,3544,3546,3548,3550,3552,3554,3556,3558,3560,3562,3564,3566,3568,3570,3572,3574,3576,3578,3580,3582,3584,3586,3588,3590,3592,3594,3596,3598,3600,3602,3604,3606,3608,3610,3612,3614,3616,3618,3620,3622,3624,3626,3628,3630,3632,3634,3636,3638,3640,3642,3644,3646,3648,3650,3652,3654,3656,3658],{"categories":69},[70],"Developer Productivity",{"categories":72},[73],"Business & SaaS",{"categories":75},[76],"AI & LLMs",{"categories":78},[79],"AI Automation",{"categories":81},[82],"Product Strategy",{"categories":84},[76],{"categories":86},[70],{"categories":88},[73],{"categories":90},[],{"categories":92},[76],{"categories":94},[],{"categories":96},[97],"AI News & Trends",{"categories":99},[79],{"categories":101},[97],{"categories":103},[79],{"categories":105},[79],{"categories":107},[76],{"categories":109},[76],{"categories":111},[97],{"categories":113},[76],{"categories":115},[],{"categories":117},[47],{"categories":119},[120],"Data Science & Visualization",{"categories":122},[97],{"categories":124},[],{"categories":126},[127],"Software Engineering",{"categories":129},[76],{"categories":131},[79],{"categories":133},[134],"Marketing & Growth",{"categories":136},[76],{"categories":138},[79],{"categories":140},[],{"categories":142},[],{"categories":144},[47],{"categories":146},[79],{"categories":148},[70],{"categories":150},[47],{"categories":152},[76],{"categories":154},[79],{"categories":156},[97],{"categories":158},[],{"categories":160},[],{"categories":162},[79],{"categories":164},[127],{"categories":166},[],{"categories":168},[73],{"categories":170},[],{"categories":172},[],{"categories":174},[79],{"categories":176},[79],{"categories":178},[76],{"categories":180},[],{"categories":182},[127],{"categories":184},[],{"categories":186},[],{"categories":188},[],{"categories":190},[76],{"categories":192},[134],{"categories":194},[47],{"categories":196},[47],{"categories":198},[76],{"categories":200},[79],{"categories":202},[76],{"categories":204},[76],{"categories":206},[79],{"categories":208},[79],{"categories":210},[120],{"categories":212},[97],{"categories":214},[79],{"categories":216},[134],{"categories":218},[79],{"categories":220},[82],{"categories":222},[],{"categories":224},[79],{"categories":226},[],{"categories":228},[79],{"categories":230},[127],{"categories":232},[233],"DevOps & Cloud",{"categories":235},[47],{"categories":237},[76],{"categories":239},[],{"categories":241},[],{"categories":243},[79],{"categories":245},[],{"categories":247},[76],{"categories":249},[],{"categories":251},[70],{"categories":253},[127],{"categories":255},[73],{"categories":257},[97],{"categories":259},[76],{"categories":261},[],{"categories":263},[76],{"categories":265},[],{"categories":267},[127],{"categories":269},[120],{"categories":271},[],{"categories":273},[76],{"categories":275},[47],{"categories":277},[],{"categories":279},[47],{"categories":281},[79],{"categories":283},[],{"categories":285},[79],{"categories":287},[97],{"categories":289},[73],{"categories":291},[76],{"categories":293},[],{"categories":295},[79],{"categories":297},[76],{"categories":299},[82],{"categories":301},[],{"categories":303},[76],{"categories":305},[79],{"categories":307},[79],{"categories":309},[],{"categories":311},[120],{"categories":313},[76],{"categories":315},[],{"categories":317},[70],{"categories":319},[73],{"categories":321},[76],{"categories":323},[79],{"categories":325},[127],{"categories":327},[76],{"categories":329},[],{"categories":331},[],{"categories":333},[76],{"categories":335},[],{"categories":337},[47],{"categories":339},[],{"categories":341},[76],{"categories":343},[],{"categories":345},[79],{"categories":347},[76],{"categories":349},[47],{"categories":351},[],{"categories":353},[76],{"categories":355},[76],{"categories":357},[73],{"categories":359},[79],{"categories":361},[76],{"categories":363},[47],{"categories":365},[79],{"categories":367},[],{"categories":369},[],{"categories":371},[97],{"categories":373},[],{"categories":375},[76],{"categories":377},[73,134],{"categories":379},[],{"categories":381},[76],{"categories":383},[],{"categories":385},[],{"categories":387},[76],{"categories":389},[],{"categories":391},[76],{"categories":393},[233],{"categories":395},[],{"categories":397},[97],{"categories":399},[47],{"categories":401},[],{"categories":403},[97],{"categories":405},[97],{"categories":407},[76],{"categories":409},[134],{"categories":411},[],{"categories":413},[73],{"categories":415},[],{"categories":417},[76,233],{"categories":419},[76],{"categories":421},[76],{"categories":423},[79],{"categories":425},[76,127],{"categories":427},[120],{"categories":429},[76],{"categories":431},[134],{"categories":433},[79],{"categories":435},[79],{"categories":437},[],{"categories":439},[79],{"categories":441},[76,73],{"categories":443},[],{"categories":445},[47],{"categories":447},[47],{"categories":449},[],{"categories":451},[],{"categories":453},[97],{"categories":455},[],{"categories":457},[70],{"categories":459},[127],{"categories":461},[76],{"categories":463},[47],{"categories":465},[79],{"categories":467},[127],{"categories":469},[97],{"categories":471},[47],{"categories":473},[],{"categories":475},[76],{"categories":477},[76],{"categories":479},[76],{"categories":481},[97],{"categories":483},[70],{"categories":485},[76],{"categories":487},[79],{"categories":489},[233],{"categories":491},[47],{"categories":493},[79],{"categories":495},[],{"categories":497},[],{"categories":499},[47],{"categories":501},[97],{"categories":503},[120],{"categories":505},[],{"categories":507},[76],{"categories":509},[76],{"categories":511},[73],{"categories":513},[76],{"categories":515},[76],{"categories":517},[97],{"categories":519},[],{"categories":521},[79],{"categories":523},[127],{"categories":525},[],{"categories":527},[76],{"categories":529},[76],{"categories":531},[79],{"categories":533},[],{"categories":535},[],{"categories":537},[76],{"categories":539},[],{"categories":541},[73],{"categories":543},[79],{"categories":545},[],{"categories":547},[70],{"categories":549},[76],{"categories":551},[73],{"categories":553},[97],{"categories":555},[],{"categories":557},[],{"categories":559},[],{"categories":561},[97],{"categories":563},[97],{"categories":565},[],{"categories":567},[],{"categories":569},[73],{"categories":571},[],{"categories":573},[],{"categories":575},[70],{"categories":577},[],{"categories":579},[134],{"categories":581},[79],{"categories":583},[73],{"categories":585},[79],{"categories":587},[127],{"categories":589},[],{"categories":591},[82],{"categories":593},[47],{"categories":595},[127],{"categories":597},[76],{"categories":599},[79],{"categories":601},[73],{"categories":603},[76],{"categories":605},[],{"categories":607},[],{"categories":609},[127],{"categories":611},[120],{"categories":613},[82],{"categories":615},[79],{"categories":617},[76],{"categories":619},[],{"categories":621},[233],{"categories":623},[],{"categories":625},[79],{"categories":627},[],{"categories":629},[],{"categories":631},[76],{"categories":633},[47],{"categories":635},[134],{"categories":637},[79],{"categories":639},[],{"categories":641},[70],{"categories":643},[],{"categories":645},[97],{"categories":647},[76,233],{"categories":649},[97],{"categories":651},[76],{"categories":653},[73],{"categories":655},[76],{"categories":657},[],{"categories":659},[73],{"categories":661},[],{"categories":663},[127],{"categories":665},[47],{"categories":667},[97],{"categories":669},[120],{"categories":671},[70],{"categories":673},[76],{"categories":675},[127],{"categories":677},[],{"categories":679},[],{"categories":681},[82],{"categories":683},[],{"categories":685},[76],{"categories":687},[],{"categories":689},[47],{"categories":691},[47],{"categories":693},[47],{"categories":695},[],{"categories":697},[],{"categories":699},[97],{"categories":701},[79],{"categories":703},[76],{"categories":705},[76],{"categories":707},[76],{"categories":709},[73],{"categories":711},[76],{"categories":713},[],{"categories":715},[127],{"categories":717},[127],{"categories":719},[73],{"categories":721},[],{"categories":723},[76],{"categories":725},[76],{"categories":727},[73],{"categories":729},[97],{"categories":731},[134],{"categories":733},[79],{"categories":735},[],{"categories":737},[47],{"categories":739},[],{"categories":741},[76],{"categories":743},[],{"categories":745},[73],{"categories":747},[79],{"categories":749},[],{"categories":751},[233],{"categories":753},[120],{"categories":755},[127],{"categories":757},[134],{"categories":759},[127],{"categories":761},[79],{"categories":763},[],{"categories":765},[],{"categories":767},[79],{"categories":769},[70],{"categories":771},[79],{"categories":773},[82],{"categories":775},[73],{"categories":777},[],{"categories":779},[76],{"categories":781},[82],{"categories":783},[76],{"categories":785},[76],{"categories":787},[134],{"categories":789},[47],{"categories":791},[79],{"categories":793},[],{"categories":795},[],{"categories":797},[233],{"categories":799},[127],{"categories":801},[],{"categories":803},[79],{"categories":805},[76],{"categories":807},[47,76],{"categories":809},[70],{"categories":811},[],{"categories":813},[76],{"categories":815},[70],{"categories":817},[47],{"categories":819},[79],{"categories":821},[127],{"categories":823},[],{"categories":825},[76],{"categories":827},[],{"categories":829},[],{"categories":831},[70],{"categories":833},[],{"categories":835},[79],{"categories":837},[82],{"categories":839},[76],{"categories":841},[76],{"categories":843},[47],{"categories":845},[79],{"categories":847},[233],{"categories":849},[47],{"categories":851},[79],{"categories":853},[76],{"categories":855},[76],{"categories":857},[76],{"categories":859},[97],{"categories":861},[],{"categories":863},[82],{"categories":865},[79],{"categories":867},[47],{"categories":869},[79],{"categories":871},[127],{"categories":873},[47],{"categories":875},[79],{"categories":877},[97],{"categories":879},[],{"categories":881},[76],{"categories":883},[47],{"categories":885},[76],{"categories":887},[70],{"categories":889},[97],{"categories":891},[76],{"categories":893},[134],{"categories":895},[76],{"categories":897},[76],{"categories":899},[79],{"categories":901},[79],{"categories":903},[76],{"categories":905},[79],{"categories":907},[47],{"categories":909},[76],{"categories":911},[],{"categories":913},[],{"categories":915},[127],{"categories":917},[],{"categories":919},[70],{"categories":921},[233],{"categories":923},[],{"categories":925},[70],{"categories":927},[73],{"categories":929},[134],{"categories":931},[],{"categories":933},[73],{"categories":935},[],{"categories":937},[],{"categories":939},[],{"categories":941},[],{"categories":943},[],{"categories":945},[76],{"categories":947},[79],{"categories":949},[233],{"categories":951},[70],{"categories":953},[76],{"categories":955},[127],{"categories":957},[82],{"categories":959},[76],{"categories":961},[134],{"categories":963},[76],{"categories":965},[76],{"categories":967},[76],{"categories":969},[76,70],{"categories":971},[127],{"categories":973},[127],{"categories":975},[47],{"categories":977},[76],{"categories":979},[],{"categories":981},[],{"categories":983},[],{"categories":985},[127],{"categories":987},[120],{"categories":989},[97],{"categories":991},[47],{"categories":993},[],{"categories":995},[76],{"categories":997},[76],{"categories":999},[],{"categories":1001},[],{"categories":1003},[79],{"categories":1005},[76],{"categories":1007},[73],{"categories":1009},[],{"categories":1011},[70],{"categories":1013},[76],{"categories":1015},[70],{"categories":1017},[76],{"categories":1019},[127],{"categories":1021},[134],{"categories":1023},[76,47],{"categories":1025},[97],{"categories":1027},[47],{"categories":1029},[],{"categories":1031},[233],{"categories":1033},[47],{"categories":1035},[79],{"categories":1037},[],{"categories":1039},[],{"categories":1041},[],{"categories":1043},[],{"categories":1045},[127],{"categories":1047},[79],{"categories":1049},[79],{"categories":1051},[233],{"categories":1053},[76],{"categories":1055},[76],{"categories":1057},[76],{"categories":1059},[],{"categories":1061},[47],{"categories":1063},[],{"categories":1065},[],{"categories":1067},[79],{"categories":1069},[],{"categories":1071},[],{"categories":1073},[134],{"categories":1075},[134],{"categories":1077},[79],{"categories":1079},[],{"categories":1081},[76],{"categories":1083},[76],{"categories":1085},[127],{"categories":1087},[47],{"categories":1089},[47],{"categories":1091},[79],{"categories":1093},[70],{"categories":1095},[76],{"categories":1097},[47],{"categories":1099},[47],{"categories":1101},[79],{"categories":1103},[79],{"categories":1105},[76],{"categories":1107},[],{"categories":1109},[],{"categories":1111},[76],{"categories":1113},[79],{"categories":1115},[97],{"categories":1117},[127],{"categories":1119},[70],{"categories":1121},[76],{"categories":1123},[],{"categories":1125},[79],{"categories":1127},[79],{"categories":1129},[],{"categories":1131},[70],{"categories":1133},[76],{"categories":1135},[70],{"categories":1137},[70],{"categories":1139},[],{"categories":1141},[],{"categories":1143},[79],{"categories":1145},[79],{"categories":1147},[76],{"categories":1149},[76],{"categories":1151},[97],{"categories":1153},[120],{"categories":1155},[82],{"categories":1157},[97],{"categories":1159},[47],{"categories":1161},[],{"categories":1163},[97],{"categories":1165},[],{"categories":1167},[],{"categories":1169},[],{"categories":1171},[],{"categories":1173},[127],{"categories":1175},[120],{"categories":1177},[],{"categories":1179},[76],{"categories":1181},[76],{"categories":1183},[120],{"categories":1185},[127],{"categories":1187},[],{"categories":1189},[],{"categories":1191},[79],{"categories":1193},[97],{"categories":1195},[97],{"categories":1197},[79],{"categories":1199},[70],{"categories":1201},[76,233],{"categories":1203},[],{"categories":1205},[47],{"categories":1207},[70],{"categories":1209},[79],{"categories":1211},[47],{"categories":1213},[],{"categories":1215},[79],{"categories":1217},[79],{"categories":1219},[76],{"categories":1221},[134],{"categories":1223},[127],{"categories":1225},[47],{"categories":1227},[],{"categories":1229},[79],{"categories":1231},[76],{"categories":1233},[79],{"categories":1235},[79],{"categories":1237},[79],{"categories":1239},[134],{"categories":1241},[79],{"categories":1243},[76],{"categories":1245},[],{"categories":1247},[134],{"categories":1249},[97],{"categories":1251},[79],{"categories":1253},[],{"categories":1255},[],{"categories":1257},[76],{"categories":1259},[79],{"categories":1261},[97],{"categories":1263},[79],{"categories":1265},[],{"categories":1267},[],{"categories":1269},[],{"categories":1271},[79],{"categories":1273},[],{"categories":1275},[],{"categories":1277},[120],{"categories":1279},[76],{"categories":1281},[120],{"categories":1283},[97],{"categories":1285},[76],{"categories":1287},[76],{"categories":1289},[79],{"categories":1291},[76],{"categories":1293},[],{"categories":1295},[],{"categories":1297},[233],{"categories":1299},[],{"categories":1301},[],{"categories":1303},[70],{"categories":1305},[],{"categories":1307},[],{"categories":1309},[],{"categories":1311},[],{"categories":1313},[127],{"categories":1315},[97],{"categories":1317},[134],{"categories":1319},[73],{"categories":1321},[76],{"categories":1323},[76],{"categories":1325},[73],{"categories":1327},[],{"categories":1329},[47],{"categories":1331},[79],{"categories":1333},[73],{"categories":1335},[76],{"categories":1337},[76],{"categories":1339},[70],{"categories":1341},[],{"categories":1343},[70],{"categories":1345},[76],{"categories":1347},[134],{"categories":1349},[79],{"categories":1351},[97],{"categories":1353},[73],{"categories":1355},[76],{"categories":1357},[79],{"categories":1359},[],{"categories":1361},[76],{"categories":1363},[70],{"categories":1365},[76],{"categories":1367},[],{"categories":1369},[97],{"categories":1371},[76],{"categories":1373},[],{"categories":1375},[73],{"categories":1377},[76],{"categories":1379},[],{"categories":1381},[],{"categories":1383},[],{"categories":1385},[76],{"categories":1387},[],{"categories":1389},[233],{"categories":1391},[76],{"categories":1393},[],{"categories":1395},[76],{"categories":1397},[76],{"categories":1399},[76],{"categories":1401},[76,233],{"categories":1403},[76],{"categories":1405},[76],{"categories":1407},[47],{"categories":1409},[79],{"categories":1411},[],{"categories":1413},[79],{"categories":1415},[76],{"categories":1417},[76],{"categories":1419},[76],{"categories":1421},[70],{"categories":1423},[70],{"categories":1425},[127],{"categories":1427},[47],{"categories":1429},[79],{"categories":1431},[],{"categories":1433},[76],{"categories":1435},[97],{"categories":1437},[76],{"categories":1439},[73],{"categories":1441},[],{"categories":1443},[233],{"categories":1445},[47],{"categories":1447},[47],{"categories":1449},[79],{"categories":1451},[97],{"categories":1453},[79],{"categories":1455},[76],{"categories":1457},[],{"categories":1459},[76],{"categories":1461},[],{"categories":1463},[],{"categories":1465},[76],{"categories":1467},[76],{"categories":1469},[76],{"categories":1471},[79],{"categories":1473},[76],{"categories":1475},[],{"categories":1477},[120],{"categories":1479},[79],{"categories":1481},[],{"categories":1483},[],{"categories":1485},[76],{"categories":1487},[97],{"categories":1489},[],{"categories":1491},[47],{"categories":1493},[233],{"categories":1495},[97],{"categories":1497},[127],{"categories":1499},[127],{"categories":1501},[97],{"categories":1503},[97],{"categories":1505},[233],{"categories":1507},[],{"categories":1509},[97],{"categories":1511},[76],{"categories":1513},[70],{"categories":1515},[97],{"categories":1517},[],{"categories":1519},[120],{"categories":1521},[97],{"categories":1523},[127],{"categories":1525},[97],{"categories":1527},[233],{"categories":1529},[76],{"categories":1531},[76],{"categories":1533},[],{"categories":1535},[73],{"categories":1537},[],{"categories":1539},[],{"categories":1541},[76],{"categories":1543},[76],{"categories":1545},[76],{"categories":1547},[76],{"categories":1549},[],{"categories":1551},[120],{"categories":1553},[70],{"categories":1555},[],{"categories":1557},[76],{"categories":1559},[76],{"categories":1561},[233],{"categories":1563},[233],{"categories":1565},[],{"categories":1567},[79],{"categories":1569},[97],{"categories":1571},[97],{"categories":1573},[76],{"categories":1575},[79],{"categories":1577},[],{"categories":1579},[47],{"categories":1581},[76],{"categories":1583},[76],{"categories":1585},[],{"categories":1587},[],{"categories":1589},[233],{"categories":1591},[76],{"categories":1593},[127],{"categories":1595},[73],{"categories":1597},[76],{"categories":1599},[],{"categories":1601},[79],{"categories":1603},[70],{"categories":1605},[70],{"categories":1607},[],{"categories":1609},[76],{"categories":1611},[47],{"categories":1613},[79],{"categories":1615},[],{"categories":1617},[76],{"categories":1619},[76],{"categories":1621},[79],{"categories":1623},[],{"categories":1625},[79],{"categories":1627},[127],{"categories":1629},[],{"categories":1631},[76],{"categories":1633},[],{"categories":1635},[76],{"categories":1637},[],{"categories":1639},[76],{"categories":1641},[76],{"categories":1643},[],{"categories":1645},[76],{"categories":1647},[97],{"categories":1649},[76],{"categories":1651},[76],{"categories":1653},[70],{"categories":1655},[76],{"categories":1657},[97],{"categories":1659},[79],{"categories":1661},[],{"categories":1663},[76],{"categories":1665},[134],{"categories":1667},[],{"categories":1669},[],{"categories":1671},[],{"categories":1673},[70],{"categories":1675},[97],{"categories":1677},[79],{"categories":1679},[76],{"categories":1681},[47],{"categories":1683},[79],{"categories":1685},[],{"categories":1687},[79],{"categories":1689},[],{"categories":1691},[76],{"categories":1693},[79],{"categories":1695},[76],{"categories":1697},[],{"categories":1699},[76],{"categories":1701},[76],{"categories":1703},[97],{"categories":1705},[47],{"categories":1707},[79],{"categories":1709},[47],{"categories":1711},[73],{"categories":1713},[],{"categories":1715},[],{"categories":1717},[76],{"categories":1719},[70],{"categories":1721},[97],{"categories":1723},[],{"categories":1725},[],{"categories":1727},[127],{"categories":1729},[47],{"categories":1731},[],{"categories":1733},[76],{"categories":1735},[],{"categories":1737},[134],{"categories":1739},[76],{"categories":1741},[233],{"categories":1743},[127],{"categories":1745},[],{"categories":1747},[79],{"categories":1749},[76],{"categories":1751},[79],{"categories":1753},[79],{"categories":1755},[76],{"categories":1757},[],{"categories":1759},[70],{"categories":1761},[76],{"categories":1763},[73],{"categories":1765},[127],{"categories":1767},[47],{"categories":1769},[],{"categories":1771},[],{"categories":1773},[],{"categories":1775},[79],{"categories":1777},[47],{"categories":1779},[97],{"categories":1781},[76],{"categories":1783},[97],{"categories":1785},[47],{"categories":1787},[],{"categories":1789},[47],{"categories":1791},[97],{"categories":1793},[73],{"categories":1795},[76],{"categories":1797},[97],{"categories":1799},[134],{"categories":1801},[],{"categories":1803},[],{"categories":1805},[120],{"categories":1807},[76,127],{"categories":1809},[97],{"categories":1811},[76],{"categories":1813},[79],{"categories":1815},[79],{"categories":1817},[76],{"categories":1819},[],{"categories":1821},[127],{"categories":1823},[76],{"categories":1825},[120],{"categories":1827},[79],{"categories":1829},[134],{"categories":1831},[233],{"categories":1833},[],{"categories":1835},[70],{"categories":1837},[79],{"categories":1839},[79],{"categories":1841},[127],{"categories":1843},[76],{"categories":1845},[76],{"categories":1847},[],{"categories":1849},[],{"categories":1851},[],{"categories":1853},[233],{"categories":1855},[97],{"categories":1857},[76],{"categories":1859},[76],{"categories":1861},[76],{"categories":1863},[],{"categories":1865},[120],{"categories":1867},[73],{"categories":1869},[],{"categories":1871},[79],{"categories":1873},[233],{"categories":1875},[],{"categories":1877},[47],{"categories":1879},[47],{"categories":1881},[],{"categories":1883},[127],{"categories":1885},[47],{"categories":1887},[76],{"categories":1889},[],{"categories":1891},[97],{"categories":1893},[76],{"categories":1895},[47],{"categories":1897},[79],{"categories":1899},[97],{"categories":1901},[],{"categories":1903},[79],{"categories":1905},[47],{"categories":1907},[76],{"categories":1909},[],{"categories":1911},[76],{"categories":1913},[76],{"categories":1915},[233],{"categories":1917},[97],{"categories":1919},[120],{"categories":1921},[120],{"categories":1923},[],{"categories":1925},[],{"categories":1927},[],{"categories":1929},[79],{"categories":1931},[127],{"categories":1933},[127],{"categories":1935},[],{"categories":1937},[],{"categories":1939},[76],{"categories":1941},[],{"categories":1943},[79],{"categories":1945},[76],{"categories":1947},[],{"categories":1949},[76],{"categories":1951},[73],{"categories":1953},[76],{"categories":1955},[134],{"categories":1957},[79],{"categories":1959},[76],{"categories":1961},[127],{"categories":1963},[],{"categories":1965},[97],{"categories":1967},[79],{"categories":1969},[],{"categories":1971},[97],{"categories":1973},[79],{"categories":1975},[79],{"categories":1977},[],{"categories":1979},[73],{"categories":1981},[79],{"categories":1983},[],{"categories":1985},[76],{"categories":1987},[70],{"categories":1989},[97],{"categories":1991},[233],{"categories":1993},[79],{"categories":1995},[79],{"categories":1997},[70],{"categories":1999},[76],{"categories":2001},[],{"categories":2003},[],{"categories":2005},[47],{"categories":2007},[76,73],{"categories":2009},[],{"categories":2011},[70],{"categories":2013},[120],{"categories":2015},[76],{"categories":2017},[127],{"categories":2019},[76],{"categories":2021},[79],{"categories":2023},[76],{"categories":2025},[76],{"categories":2027},[97],{"categories":2029},[79],{"categories":2031},[],{"categories":2033},[],{"categories":2035},[79],{"categories":2037},[76],{"categories":2039},[233],{"categories":2041},[],{"categories":2043},[76],{"categories":2045},[79],{"categories":2047},[],{"categories":2049},[76],{"categories":2051},[134],{"categories":2053},[120],{"categories":2055},[79],{"categories":2057},[76],{"categories":2059},[233],{"categories":2061},[],{"categories":2063},[76],{"categories":2065},[134],{"categories":2067},[47],{"categories":2069},[76],{"categories":2071},[],{"categories":2073},[134],{"categories":2075},[97],{"categories":2077},[76],{"categories":2079},[76],{"categories":2081},[70],{"categories":2083},[],{"categories":2085},[],{"categories":2087},[47],{"categories":2089},[76],{"categories":2091},[120],{"categories":2093},[134],{"categories":2095},[134],{"categories":2097},[97],{"categories":2099},[],{"categories":2101},[],{"categories":2103},[76],{"categories":2105},[],{"categories":2107},[76,127],{"categories":2109},[97],{"categories":2111},[79],{"categories":2113},[127],{"categories":2115},[76],{"categories":2117},[70],{"categories":2119},[],{"categories":2121},[],{"categories":2123},[70],{"categories":2125},[134],{"categories":2127},[76],{"categories":2129},[],{"categories":2131},[47,76],{"categories":2133},[233],{"categories":2135},[70],{"categories":2137},[],{"categories":2139},[73],{"categories":2141},[73],{"categories":2143},[76],{"categories":2145},[127],{"categories":2147},[79],{"categories":2149},[97],{"categories":2151},[134],{"categories":2153},[47],{"categories":2155},[76],{"categories":2157},[76],{"categories":2159},[76],{"categories":2161},[70],{"categories":2163},[76],{"categories":2165},[79],{"categories":2167},[97],{"categories":2169},[],{"categories":2171},[],{"categories":2173},[120],{"categories":2175},[127],{"categories":2177},[76],{"categories":2179},[47],{"categories":2181},[120],{"categories":2183},[76],{"categories":2185},[76],{"categories":2187},[79],{"categories":2189},[79],{"categories":2191},[76,73],{"categories":2193},[],{"categories":2195},[47],{"categories":2197},[],{"categories":2199},[76],{"categories":2201},[97],{"categories":2203},[70],{"categories":2205},[70],{"categories":2207},[79],{"categories":2209},[76],{"categories":2211},[73],{"categories":2213},[127],{"categories":2215},[134],{"categories":2217},[],{"categories":2219},[97],{"categories":2221},[76],{"categories":2223},[76],{"categories":2225},[97],{"categories":2227},[127],{"categories":2229},[76],{"categories":2231},[79],{"categories":2233},[97],{"categories":2235},[76],{"categories":2237},[47],{"categories":2239},[76],{"categories":2241},[76],{"categories":2243},[233],{"categories":2245},[82],{"categories":2247},[79],{"categories":2249},[76],{"categories":2251},[97],{"categories":2253},[79],{"categories":2255},[134],{"categories":2257},[76],{"categories":2259},[],{"categories":2261},[76],{"categories":2263},[],{"categories":2265},[],{"categories":2267},[],{"categories":2269},[73],{"categories":2271},[76],{"categories":2273},[79],{"categories":2275},[97],{"categories":2277},[97],{"categories":2279},[97],{"categories":2281},[97],{"categories":2283},[],{"categories":2285},[70],{"categories":2287},[79],{"categories":2289},[97],{"categories":2291},[70],{"categories":2293},[79],{"categories":2295},[76],{"categories":2297},[76,79],{"categories":2299},[79],{"categories":2301},[233],{"categories":2303},[97],{"categories":2305},[97],{"categories":2307},[79],{"categories":2309},[76],{"categories":2311},[],{"categories":2313},[97],{"categories":2315},[134],{"categories":2317},[70],{"categories":2319},[76],{"categories":2321},[76],{"categories":2323},[],{"categories":2325},[127],{"categories":2327},[],{"categories":2329},[70],{"categories":2331},[79],{"categories":2333},[97],{"categories":2335},[76],{"categories":2337},[97],{"categories":2339},[70],{"categories":2341},[97],{"categories":2343},[97],{"categories":2345},[],{"categories":2347},[73],{"categories":2349},[79],{"categories":2351},[97],{"categories":2353},[97],{"categories":2355},[97],{"categories":2357},[97],{"categories":2359},[97],{"categories":2361},[97],{"categories":2363},[97],{"categories":2365},[97],{"categories":2367},[97],{"categories":2369},[97],{"categories":2371},[120],{"categories":2373},[70],{"categories":2375},[76],{"categories":2377},[76],{"categories":2379},[],{"categories":2381},[76,70],{"categories":2383},[],{"categories":2385},[79],{"categories":2387},[97],{"categories":2389},[79],{"categories":2391},[76],{"categories":2393},[76],{"categories":2395},[76],{"categories":2397},[76],{"categories":2399},[76],{"categories":2401},[79],{"categories":2403},[73],{"categories":2405},[47],{"categories":2407},[97],{"categories":2409},[76],{"categories":2411},[],{"categories":2413},[],{"categories":2415},[79],{"categories":2417},[47],{"categories":2419},[76],{"categories":2421},[],{"categories":2423},[],{"categories":2425},[134],{"categories":2427},[76],{"categories":2429},[],{"categories":2431},[],{"categories":2433},[70],{"categories":2435},[73],{"categories":2437},[76],{"categories":2439},[73],{"categories":2441},[47],{"categories":2443},[],{"categories":2445},[97],{"categories":2447},[],{"categories":2449},[47],{"categories":2451},[76],{"categories":2453},[134],{"categories":2455},[],{"categories":2457},[134],{"categories":2459},[],{"categories":2461},[],{"categories":2463},[79],{"categories":2465},[],{"categories":2467},[73],{"categories":2469},[70],{"categories":2471},[47],{"categories":2473},[127],{"categories":2475},[],{"categories":2477},[],{"categories":2479},[76],{"categories":2481},[70],{"categories":2483},[134],{"categories":2485},[],{"categories":2487},[79],{"categories":2489},[79],{"categories":2491},[97],{"categories":2493},[76],{"categories":2495},[79],{"categories":2497},[76],{"categories":2499},[79],{"categories":2501},[76],{"categories":2503},[82],{"categories":2505},[97],{"categories":2507},[],{"categories":2509},[134],{"categories":2511},[127],{"categories":2513},[79],{"categories":2515},[],{"categories":2517},[76],{"categories":2519},[79],{"categories":2521},[73],{"categories":2523},[70],{"categories":2525},[76],{"categories":2527},[47],{"categories":2529},[127],{"categories":2531},[127],{"categories":2533},[76],{"categories":2535},[120],{"categories":2537},[76],{"categories":2539},[79],{"categories":2541},[73],{"categories":2543},[79],{"categories":2545},[76],{"categories":2547},[76],{"categories":2549},[79],{"categories":2551},[97],{"categories":2553},[],{"categories":2555},[70],{"categories":2557},[76],{"categories":2559},[79],{"categories":2561},[76],{"categories":2563},[76],{"categories":2565},[],{"categories":2567},[47],{"categories":2569},[73],{"categories":2571},[97],{"categories":2573},[76],{"categories":2575},[76],{"categories":2577},[47],{"categories":2579},[134],{"categories":2581},[120],{"categories":2583},[76],{"categories":2585},[97],{"categories":2587},[76],{"categories":2589},[79],{"categories":2591},[233],{"categories":2593},[76],{"categories":2595},[79],{"categories":2597},[120],{"categories":2599},[],{"categories":2601},[79],{"categories":2603},[127],{"categories":2605},[47],{"categories":2607},[76],{"categories":2609},[70],{"categories":2611},[73],{"categories":2613},[127],{"categories":2615},[],{"categories":2617},[79],{"categories":2619},[76],{"categories":2621},[],{"categories":2623},[97],{"categories":2625},[],{"categories":2627},[97],{"categories":2629},[76],{"categories":2631},[79],{"categories":2633},[79],{"categories":2635},[79],{"categories":2637},[],{"categories":2639},[],{"categories":2641},[76],{"categories":2643},[76],{"categories":2645},[],{"categories":2647},[47],{"categories":2649},[79],{"categories":2651},[134],{"categories":2653},[70],{"categories":2655},[],{"categories":2657},[],{"categories":2659},[97],{"categories":2661},[127],{"categories":2663},[76],{"categories":2665},[76],{"categories":2667},[76],{"categories":2669},[127],{"categories":2671},[97],{"categories":2673},[47],{"categories":2675},[76],{"categories":2677},[76],{"categories":2679},[76],{"categories":2681},[97],{"categories":2683},[76],{"categories":2685},[97],{"categories":2687},[97],{"categories":2689},[79],{"categories":2691},[79],{"categories":2693},[127],{"categories":2695},[79],{"categories":2697},[76],{"categories":2699},[127],{"categories":2701},[47],{"categories":2703},[],{"categories":2705},[79],{"categories":2707},[],{"categories":2709},[],{"categories":2711},[],{"categories":2713},[73],{"categories":2715},[76],{"categories":2717},[79],{"categories":2719},[70],{"categories":2721},[79],{"categories":2723},[134],{"categories":2725},[],{"categories":2727},[79],{"categories":2729},[],{"categories":2731},[70],{"categories":2733},[79],{"categories":2735},[],{"categories":2737},[79],{"categories":2739},[76],{"categories":2741},[97],{"categories":2743},[76],{"categories":2745},[79],{"categories":2747},[97],{"categories":2749},[79],{"categories":2751},[127],{"categories":2753},[47],{"categories":2755},[70],{"categories":2757},[],{"categories":2759},[79],{"categories":2761},[47],{"categories":2763},[233],{"categories":2765},[97],{"categories":2767},[76],{"categories":2769},[47],{"categories":2771},[70],{"categories":2773},[],{"categories":2775},[79],{"categories":2777},[79],{"categories":2779},[76],{"categories":2781},[],{"categories":2783},[79],{"categories":2785},[82],{"categories":2787},[97],{"categories":2789},[79],{"categories":2791},[73],{"categories":2793},[],{"categories":2795},[76],{"categories":2797},[82],{"categories":2799},[76],{"categories":2801},[79],{"categories":2803},[97],{"categories":2805},[70],{"categories":2807},[233],{"categories":2809},[76],{"categories":2811},[76],{"categories":2813},[76],{"categories":2815},[97],{"categories":2817},[73],{"categories":2819},[76],{"categories":2821},[47],{"categories":2823},[97],{"categories":2825},[233],{"categories":2827},[76],{"categories":2829},[],{"categories":2831},[],{"categories":2833},[233],{"categories":2835},[120],{"categories":2837},[79],{"categories":2839},[79],{"categories":2841},[97],{"categories":2843},[76],{"categories":2845},[70],{"categories":2847},[47],{"categories":2849},[79],{"categories":2851},[76],{"categories":2853},[134],{"categories":2855},[76],{"categories":2857},[79],{"categories":2859},[],{"categories":2861},[76],{"categories":2863},[76],{"categories":2865},[97],{"categories":2867},[70],{"categories":2869},[],{"categories":2871},[76],{"categories":2873},[76],{"categories":2875},[127],{"categories":2877},[47],{"categories":2879},[76,79],{"categories":2881},[134,73],{"categories":2883},[76],{"categories":2885},[],{"categories":2887},[79],{"categories":2889},[],{"categories":2891},[127],{"categories":2893},[76],{"categories":2895},[97],{"categories":2897},[],{"categories":2899},[79],{"categories":2901},[],{"categories":2903},[47],{"categories":2905},[79],{"categories":2907},[70],{"categories":2909},[79],{"categories":2911},[76],{"categories":2913},[233],{"categories":2915},[134],{"categories":2917},[73],{"categories":2919},[73],{"categories":2921},[70],{"categories":2923},[70],{"categories":2925},[76],{"categories":2927},[79],{"categories":2929},[76],{"categories":2931},[76],{"categories":2933},[70],{"categories":2935},[76],{"categories":2937},[134],{"categories":2939},[97],{"categories":2941},[76],{"categories":2943},[79],{"categories":2945},[76],{"categories":2947},[],{"categories":2949},[127],{"categories":2951},[],{"categories":2953},[79],{"categories":2955},[70],{"categories":2957},[],{"categories":2959},[233],{"categories":2961},[76],{"categories":2963},[],{"categories":2965},[97],{"categories":2967},[79],{"categories":2969},[127],{"categories":2971},[76],{"categories":2973},[79],{"categories":2975},[127],{"categories":2977},[79],{"categories":2979},[97],{"categories":2981},[70],{"categories":2983},[97],{"categories":2985},[127],{"categories":2987},[76],{"categories":2989},[47],{"categories":2991},[76],{"categories":2993},[76],{"categories":2995},[76],{"categories":2997},[76],{"categories":2999},[79],{"categories":3001},[76],{"categories":3003},[79],{"categories":3005},[76],{"categories":3007},[70],{"categories":3009},[76],{"categories":3011},[79],{"categories":3013},[47],{"categories":3015},[70],{"categories":3017},[79],{"categories":3019},[47],{"categories":3021},[],{"categories":3023},[76],{"categories":3025},[76],{"categories":3027},[127],{"categories":3029},[],{"categories":3031},[79],{"categories":3033},[134],{"categories":3035},[76],{"categories":3037},[97],{"categories":3039},[134],{"categories":3041},[79],{"categories":3043},[73],{"categories":3045},[73],{"categories":3047},[76],{"categories":3049},[70],{"categories":3051},[],{"categories":3053},[76],{"categories":3055},[],{"categories":3057},[70],{"categories":3059},[76],{"categories":3061},[79],{"categories":3063},[79],{"categories":3065},[],{"categories":3067},[127],{"categories":3069},[127],{"categories":3071},[134],{"categories":3073},[47],{"categories":3075},[],{"categories":3077},[76],{"categories":3079},[70],{"categories":3081},[76],{"categories":3083},[127],{"categories":3085},[70],{"categories":3087},[97],{"categories":3089},[97],{"categories":3091},[],{"categories":3093},[97],{"categories":3095},[79],{"categories":3097},[47],{"categories":3099},[120],{"categories":3101},[76],{"categories":3103},[],{"categories":3105},[97],{"categories":3107},[127],{"categories":3109},[73],{"categories":3111},[76],{"categories":3113},[70],{"categories":3115},[233],{"categories":3117},[70],{"categories":3119},[],{"categories":3121},[],{"categories":3123},[97],{"categories":3125},[],{"categories":3127},[79],{"categories":3129},[79],{"categories":3131},[79],{"categories":3133},[],{"categories":3135},[76],{"categories":3137},[],{"categories":3139},[97],{"categories":3141},[70],{"categories":3143},[47],{"categories":3145},[76],{"categories":3147},[97],{"categories":3149},[97],{"categories":3151},[],{"categories":3153},[97],{"categories":3155},[70],{"categories":3157},[76],{"categories":3159},[],{"categories":3161},[79],{"categories":3163},[79],{"categories":3165},[70],{"categories":3167},[],{"categories":3169},[],{"categories":3171},[],{"categories":3173},[47],{"categories":3175},[79],{"categories":3177},[76],{"categories":3179},[],{"categories":3181},[],{"categories":3183},[],{"categories":3185},[47],{"categories":3187},[],{"categories":3189},[70],{"categories":3191},[],{"categories":3193},[],{"categories":3195},[47],{"categories":3197},[76],{"categories":3199},[97],{"categories":3201},[],{"categories":3203},[134],{"categories":3205},[97],{"categories":3207},[134],{"categories":3209},[76],{"categories":3211},[],{"categories":3213},[],{"categories":3215},[79],{"categories":3217},[],{"categories":3219},[],{"categories":3221},[79],{"categories":3223},[76],{"categories":3225},[],{"categories":3227},[79],{"categories":3229},[97],{"categories":3231},[134],{"categories":3233},[120],{"categories":3235},[79],{"categories":3237},[79],{"categories":3239},[],{"categories":3241},[],{"categories":3243},[],{"categories":3245},[97],{"categories":3247},[],{"categories":3249},[],{"categories":3251},[47],{"categories":3253},[70],{"categories":3255},[],{"categories":3257},[73],{"categories":3259},[134],{"categories":3261},[76],{"categories":3263},[127],{"categories":3265},[70],{"categories":3267},[120],{"categories":3269},[73],{"categories":3271},[127],{"categories":3273},[],{"categories":3275},[],{"categories":3277},[79],{"categories":3279},[70],{"categories":3281},[47],{"categories":3283},[70],{"categories":3285},[79],{"categories":3287},[233],{"categories":3289},[79],{"categories":3291},[],{"categories":3293},[76],{"categories":3295},[97],{"categories":3297},[127],{"categories":3299},[],{"categories":3301},[47],{"categories":3303},[97],{"categories":3305},[70],{"categories":3307},[79],{"categories":3309},[76],{"categories":3311},[73],{"categories":3313},[79,233],{"categories":3315},[79],{"categories":3317},[127],{"categories":3319},[76],{"categories":3321},[120],{"categories":3323},[134],{"categories":3325},[79],{"categories":3327},[],{"categories":3329},[79],{"categories":3331},[76],{"categories":3333},[73],{"categories":3335},[],{"categories":3337},[],{"categories":3339},[76],{"categories":3341},[120],{"categories":3343},[76],{"categories":3345},[],{"categories":3347},[97],{"categories":3349},[],{"categories":3351},[97],{"categories":3353},[127],{"categories":3355},[79],{"categories":3357},[76],{"categories":3359},[134],{"categories":3361},[127],{"categories":3363},[],{"categories":3365},[97],{"categories":3367},[76],{"categories":3369},[],{"categories":3371},[76],{"categories":3373},[79],{"categories":3375},[76],{"categories":3377},[79],{"categories":3379},[76],{"categories":3381},[76],{"categories":3383},[76],{"categories":3385},[76],{"categories":3387},[73],{"categories":3389},[],{"categories":3391},[82],{"categories":3393},[97],{"categories":3395},[76],{"categories":3397},[],{"categories":3399},[127],{"categories":3401},[76],{"categories":3403},[76],{"categories":3405},[79],{"categories":3407},[97],{"categories":3409},[76],{"categories":3411},[76],{"categories":3413},[73],{"categories":3415},[79],{"categories":3417},[47],{"categories":3419},[],{"categories":3421},[120],{"categories":3423},[76],{"categories":3425},[],{"categories":3427},[97],{"categories":3429},[134],{"categories":3431},[],{"categories":3433},[],{"categories":3435},[97],{"categories":3437},[97],{"categories":3439},[134],{"categories":3441},[70],{"categories":3443},[79],{"categories":3445},[79],{"categories":3447},[76],{"categories":3449},[73],{"categories":3451},[],{"categories":3453},[],{"categories":3455},[97],{"categories":3457},[120],{"categories":3459},[127],{"categories":3461},[79],{"categories":3463},[47],{"categories":3465},[120],{"categories":3467},[120],{"categories":3469},[],{"categories":3471},[97],{"categories":3473},[76],{"categories":3475},[76],{"categories":3477},[127],{"categories":3479},[],{"categories":3481},[97],{"categories":3483},[97],{"categories":3485},[97],{"categories":3487},[],{"categories":3489},[79],{"categories":3491},[76],{"categories":3493},[],{"categories":3495},[70],{"categories":3497},[73],{"categories":3499},[],{"categories":3501},[76],{"categories":3503},[76],{"categories":3505},[],{"categories":3507},[127],{"categories":3509},[],{"categories":3511},[],{"categories":3513},[],{"categories":3515},[],{"categories":3517},[76],{"categories":3519},[97],{"categories":3521},[],{"categories":3523},[],{"categories":3525},[76],{"categories":3527},[76],{"categories":3529},[76],{"categories":3531},[120],{"categories":3533},[76],{"categories":3535},[120],{"categories":3537},[],{"categories":3539},[120],{"categories":3541},[120],{"categories":3543},[233],{"categories":3545},[79],{"categories":3547},[127],{"categories":3549},[],{"categories":3551},[],{"categories":3553},[120],{"categories":3555},[127],{"categories":3557},[127],{"categories":3559},[127],{"categories":3561},[],{"categories":3563},[70],{"categories":3565},[127],{"categories":3567},[127],{"categories":3569},[70],{"categories":3571},[127],{"categories":3573},[73],{"categories":3575},[127],{"categories":3577},[127],{"categories":3579},[127],{"categories":3581},[120],{"categories":3583},[97],{"categories":3585},[97],{"categories":3587},[76],{"categories":3589},[127],{"categories":3591},[120],{"categories":3593},[233],{"categories":3595},[120],{"categories":3597},[120],{"categories":3599},[120],{"categories":3601},[],{"categories":3603},[73],{"categories":3605},[],{"categories":3607},[233],{"categories":3609},[127],{"categories":3611},[127],{"categories":3613},[127],{"categories":3615},[79],{"categories":3617},[97,73],{"categories":3619},[120],{"categories":3621},[],{"categories":3623},[],{"categories":3625},[120],{"categories":3627},[],{"categories":3629},[120],{"categories":3631},[97],{"categories":3633},[79],{"categories":3635},[],{"categories":3637},[127],{"categories":3639},[76],{"categories":3641},[47],{"categories":3643},[],{"categories":3645},[76],{"categories":3647},[],{"categories":3649},[97],{"categories":3651},[70],{"categories":3653},[120],{"categories":3655},[],{"categories":3657},[127],{"categories":3659},[97],[3661,3735,3796,3854],{"id":3662,"title":3663,"ai":3664,"body":3669,"categories":3706,"created_at":48,"date_modified":48,"description":40,"extension":49,"faq":48,"featured":50,"kicker_label":48,"meta":3707,"navigation":52,"path":3722,"published_at":3723,"question":48,"scraped_at":3724,"seo":3725,"sitemap":3726,"source_id":3727,"source_name":3728,"source_type":59,"source_url":3729,"stem":3730,"tags":3731,"thumbnail_url":48,"tldr":3732,"tweet":48,"unknown_tags":3733,"__hash__":3734},"summaries\u002Fsummaries\u002Ffd5aa09530034685-xai-clones-voices-from-1-min-speech-for-tts-apis-summary.md","xAI Clones Voices from 1 Min Speech for TTS APIs",{"provider":7,"model":8,"input_tokens":3665,"output_tokens":3666,"processing_time_ms":3667,"cost_usd":3668},3881,1495,18321,0.0015012,{"type":14,"value":3670,"toc":3701},[3671,3675,3678,3681,3685,3688,3691,3695,3698],[17,3672,3674],{"id":3673},"frictionless-voice-cloning-for-ai-builders","Frictionless Voice Cloning for AI Builders",[22,3676,3677],{},"xAI's Custom Voices lets you generate a production-ready voice model from one minute of natural speech recorded in their console. Processing takes under two minutes, after which it plugs directly into xAI's text-to-speech (TTS) and voice agent APIs. No additional costs apply to using clones, making it viable for apps needing personalized voices like customer support bots—already powering Starlink's sales and support via the Grok Voice Think Fast 1.0 model.",[22,3679,3680],{},"This lowers barriers for indie builders or small teams prototyping voice features: record once, deploy instantly, without needing audio engineering expertise or expensive studios.",[17,3682,3684],{"id":3683},"two-step-verification-locks-down-abuse","Two-Step Verification Locks Down Abuse",[22,3686,3687],{},"To block cloning from existing audio or impersonation, xAI requires a live two-part process. First, users read a generated passphrase, verified in real-time for liveness. Second, the system matches voice biometrics across both recordings to confirm identity. xAI claims this makes unauthorized cloning impossible, addressing deepfake risks head-on.",[22,3689,3690],{},"For product builders, this means reliable identity-gated voice synthesis: integrate without fearing liability from misuse, as the API enforces verification at creation time.",[17,3692,3694],{"id":3693},"voice-library-expands-options","Voice Library Expands Options",[22,3696,3697],{},"Alongside Custom Voices, the console adds a Voice Library with over 80 pre-built voices spanning 28 languages. Clones join this library seamlessly, giving developers a one-stop catalog for global apps.",[22,3699,3700],{},"Trade-off: While fast and free, quality depends on clean input speech—expect artifacts from noisy recordings. Builds on recent Grok STT\u002FTTS APIs, so pair with those for end-to-end voice pipelines in agents or UIs.",{"title":40,"searchDepth":41,"depth":41,"links":3702},[3703,3704,3705],{"id":3673,"depth":41,"text":3674},{"id":3683,"depth":41,"text":3684},{"id":3693,"depth":41,"text":3694},[97],{"content_references":3708,"triage":3717},[3709,3714],{"type":3710,"title":3711,"url":3712,"context":3713},"tool","Grok Speech-to-Text and Text-to-Speech APIs","https:\u002F\u002Fdocs.x.ai\u002Fdevelopers\u002Fmodel-capabilities\u002Faudio\u002Ftext-to-speech","mentioned",{"type":3710,"title":3715,"url":3716,"context":3713},"Grok Voice Think Fast 1.0","https:\u002F\u002Fx.ai\u002Fnews\u002Fgrok-voice-think-fast-1",{"relevance":3718,"novelty":3719,"quality":3719,"actionability":3718,"composite":3720,"reasoning":3721},5,4,4.55,"Category: AI & LLMs. The article discusses a practical tool for AI builders that allows for quick voice cloning, addressing a specific pain point of indie builders needing to prototype voice features without extensive resources. It provides actionable insights on integrating the tool into applications, making it highly relevant and immediately applicable.","\u002Fsummaries\u002Ffd5aa09530034685-xai-clones-voices-from-1-min-speech-for-tts-apis-summary","2026-05-02 12:14:46","2026-05-03 17:01:35",{"title":3663,"description":40},{"loc":3722},"fd5aa09530034685","The Decoder","https:\u002F\u002Fthe-decoder.com\u002Fxais-new-custom-voices-feature-turns-a-minute-of-speech-into-a-usable-voice-clone\u002F","summaries\u002Ffd5aa09530034685-xai-clones-voices-from-1-min-speech-for-tts-apis-summary",[63],"Upload 1 minute of speech to xAI console for a voice clone ready in \u003C2 minutes; two-step verification blocks misuse; integrates free with TTS\u002Fvoice agents and 80+ library voices.",[],"21k1Pxf4U2dKS_QHfOqZJGM9bMzYf6UdfUDhKwP3-Bo",{"id":3736,"title":3737,"ai":3738,"body":3743,"categories":3776,"created_at":48,"date_modified":48,"description":40,"extension":49,"faq":48,"featured":50,"kicker_label":48,"meta":3777,"navigation":52,"path":3783,"published_at":3784,"question":48,"scraped_at":3784,"seo":3785,"sitemap":3786,"source_id":3787,"source_name":3788,"source_type":59,"source_url":3789,"stem":3790,"tags":3791,"thumbnail_url":48,"tldr":3793,"tweet":48,"unknown_tags":3794,"__hash__":3795},"summaries\u002Fsummaries\u002F01a8b52eee8198f5-gpt-5-5-instant-cuts-hallucinations-52-5-adds-pers-summary.md","GPT-5.5 Instant Cuts Hallucinations 52.5%, Adds Personalization",{"provider":7,"model":8,"input_tokens":3739,"output_tokens":3740,"processing_time_ms":3741,"cost_usd":3742},8546,1582,22131,0.00199335,{"type":14,"value":3744,"toc":3771},[3745,3749,3752,3756,3759,3763],[17,3746,3748],{"id":3747},"enhanced-factuality-and-reasoning-for-reliable-outputs","Enhanced Factuality and Reasoning for Reliable Outputs",[22,3750,3751],{},"GPT-5.5 Instant reduces hallucinated claims by 52.5% on high-stakes prompts in medicine, law, and finance compared to GPT-5.3 Instant, and cuts inaccurate claims by 37.3% on user-flagged challenging conversations. It excels in visual reasoning (e.g., analyzing image uploads), STEM tasks, and deciding when to invoke web search. In an algebra example with √(x+7) = x-1, GPT-5.5 catches an expansion error (x+7 = x² - 2x +1, leading to x² -3x -6=0), applies quadratic formula for x=(3+√33)\u002F2 (valid since x≥1), outperforming GPT-5.3 which wrongly concludes no solution after extraneous root check. Builders gain a more dependable model for production AI features needing accuracy over hype.",[17,3753,3755],{"id":3754},"concise-natural-responses-without-losing-utility","Concise, Natural Responses Without Losing Utility",[22,3757,3758],{},"Responses use 30.2% fewer words and 29.2% fewer lines while staying substantive and warm. For 'how to tell coworker to quit yapping,' GPT-5.5 delivers direct scripts (e.g., 'Hey, I need to focus—can we catch up later?'), emphasizes framing around your time not their personality, and advises early interruption\u002Fconsistency, avoiding over-structuring or emojis unlike GPT-5.3's list-heavy format. This tightens everyday interactions, reducing verbosity for faster, less cluttered developer workflows like debugging or advice generation.",[17,3760,3762],{"id":3761},"context-aware-personalization-with-user-controls","Context-Aware Personalization with User Controls",[22,3764,3765,3766,3770],{},"Leverages past chats, files, and connected Gmail for relevant tailoring without repetition—e.g., recommending Ceré Tea or Song Tea & Ceramics based on user's Asha Tea House preference and clean Taiwanese tea taste, unlike generic SF suggestions from GPT-5.3. New memory sources reveal used context (e.g., specific chats\u002Fmemories) for editing\u002Fdeletion, excluding temporary chats or shared views. Rolls out to Plus\u002FPro first, expanding broadly. API access as ",[3767,3768,3769],"code",{},"chat-latest","; paid users retain GPT-5.3 for 3 months. Use this for agentic apps or RAG where user history boosts relevance without privacy risks.",{"title":40,"searchDepth":41,"depth":41,"links":3772},[3773,3774,3775],{"id":3747,"depth":41,"text":3748},{"id":3754,"depth":41,"text":3755},{"id":3761,"depth":41,"text":3762},[97],{"content_references":3778,"triage":3779},[],{"relevance":3718,"novelty":3780,"quality":3719,"actionability":3719,"composite":3781,"reasoning":3782},3,4.15,"Category: AI & LLMs. The article provides in-depth insights into the capabilities of GPT-5.5, specifically its improvements in reducing hallucinations and enhancing personalization, which are crucial for developers building AI-powered products. It offers practical examples of how these features can be applied in real-world scenarios, making it actionable for the target audience.","\u002Fsummaries\u002F01a8b52eee8198f5-gpt-5-5-instant-cuts-hallucinations-52-5-adds-pers-summary","2026-05-11 15:04:27",{"title":3737,"description":40},{"loc":3783},"01a8b52eee8198f5","OpenAI News","https:\u002F\u002Fopenai.com\u002Findex\u002Fgpt-5-5-instant","summaries\u002F01a8b52eee8198f5-gpt-5-5-instant-cuts-hallucinations-52-5-adds-pers-summary",[3792,63],"llm","GPT-5.5 Instant replaces GPT-5.3 as ChatGPT default, slashing hallucinated claims by 52.5% on high-stakes prompts like medicine\u002Flaw\u002Ffinance, using 30% fewer words for concise answers, and personalizing via past chats\u002Ffiles\u002FGmail with new memory controls.",[],"54-eUesvIa3Ezpc2698W6d5YUdvkHVIUXh-Qjxan2pc",{"id":3797,"title":3798,"ai":3799,"body":3804,"categories":3832,"created_at":48,"date_modified":48,"description":40,"extension":49,"faq":48,"featured":50,"kicker_label":48,"meta":3833,"navigation":52,"path":3843,"published_at":3844,"question":48,"scraped_at":3844,"seo":3845,"sitemap":3846,"source_id":3847,"source_name":3788,"source_type":59,"source_url":3848,"stem":3849,"tags":3850,"thumbnail_url":48,"tldr":3851,"tweet":48,"unknown_tags":3852,"__hash__":3853},"summaries\u002Fsummaries\u002Fca7758ca2a2c3977-chatgpt-trains-on-filtered-data-with-user-opt-outs-summary.md","ChatGPT Trains on Filtered Data with User Opt-Outs",{"provider":7,"model":8,"input_tokens":3800,"output_tokens":3801,"processing_time_ms":3802,"cost_usd":3803},8579,1444,18236,0.0024153,{"type":14,"value":3805,"toc":3827},[3806,3810,3813,3817,3820,3824],[17,3807,3809],{"id":3808},"filter-pii-from-training-data-to-build-general-knowledge","Filter PII from Training Data to Build General Knowledge",[22,3811,3812],{},"OpenAI trains ChatGPT models on publicly available internet content (e.g., forum posts, blogs), partnership data, and opt-in user\u002Fcontractor\u002Fresearcher inputs to develop broad world knowledge for reliable responses. Only freely accessible public data is used—no paywalled or private content. Before training, apply OpenAI Privacy Filter at multiple stages to identify and mask personal information like names or addresses in public datasets and opted-in user conversations. This tool outperforms other PII removal methods in evaluations, enabling models to learn general patterns without memorizing individual details. Developers can access it free on Hugging Face to integrate into their workflows.",[17,3814,3816],{"id":3815},"opt-out-controls-prevent-conversation-use-in-training","Opt-Out Controls Prevent Conversation Use in Training",[22,3818,3819],{},"Disable \"Improve the model for everyone\" in Settings > Data Controls to exclude new conversations from training (they stay in history). Use Temporary Chat mode (top-right button) for sessions not saved to history, without memories, and auto-deleted after 30 days (retained briefly for safety). Turn off Memory feature entirely to prevent saving references to personal details like projects or contacts—review, edit, or delete any saved items. Export data, delete account, or submit privacy requests via privacy.openai.com. Avoid sharing sensitive info, as it's not recommended for review or training.",[17,3821,3823],{"id":3822},"block-sensitive-outputs-and-handle-errors","Block Sensitive Outputs and Handle Errors",[22,3825,3826],{},"ChatGPT rejects requests for private individual data, prioritizing general knowledge over specifics. If erroneous personal info appears in responses, affected users submit removal requests through the privacy portal. Balancing privacy with safety, OpenAI detects violence threats while upholding filters, committing to clearer controls and stronger safeguards as models advance.",{"title":40,"searchDepth":41,"depth":41,"links":3828},[3829,3830,3831],{"id":3808,"depth":41,"text":3809},{"id":3815,"depth":41,"text":3816},{"id":3822,"depth":41,"text":3823},[],{"content_references":3834,"triage":3840},[3835,3838],{"type":3710,"title":3836,"url":3837,"context":3713},"OpenAI Privacy Filter","https:\u002F\u002Fopenai.com\u002Findex\u002Fintroducing-openai-privacy-filter\u002F",{"type":3710,"title":3836,"url":3839,"context":3713},"https:\u002F\u002Fhuggingface.co\u002Fopenai\u002Fprivacy-filter",{"relevance":3719,"novelty":3780,"quality":3719,"actionability":3780,"composite":3841,"reasoning":3842},3.6,"Category: AI & LLMs. The article discusses how OpenAI trains ChatGPT while ensuring user privacy, which is relevant to developers integrating AI tools. It provides insights into the Privacy Filter and user opt-out controls, addressing concerns about data usage, but lacks specific implementation details for developers.","\u002Fsummaries\u002Fca7758ca2a2c3977-chatgpt-trains-on-filtered-data-with-user-opt-outs-summary","2026-05-11 15:04:25",{"title":3798,"description":40},{"loc":3843},"ca7758ca2a2c3977","https:\u002F\u002Fopenai.com\u002Findex\u002Fhow-chatgpt-protects-privacy","summaries\u002Fca7758ca2a2c3977-chatgpt-trains-on-filtered-data-with-user-opt-outs-summary",[3792,63],"OpenAI trains ChatGPT on public web data and opt-in user conversations, using Privacy Filter to mask PII before training; users control data via opt-out settings, 30-day Temporary Chats, and optional Memory.",[],"vk3ZL3PhADVevcrSYfkgAMpVsBK47wYr_Tdqs2C_eLw",{"id":3855,"title":3856,"ai":3857,"body":3862,"categories":3936,"created_at":48,"date_modified":48,"description":40,"extension":49,"faq":48,"featured":50,"kicker_label":48,"meta":3937,"navigation":52,"path":3954,"published_at":3955,"question":48,"scraped_at":3956,"seo":3957,"sitemap":3958,"source_id":3959,"source_name":3960,"source_type":59,"source_url":3961,"stem":3962,"tags":3963,"thumbnail_url":48,"tldr":3965,"tweet":48,"unknown_tags":3966,"__hash__":3967},"summaries\u002Fsummaries\u002Face545b6934c65f0-inworld-tts-2-uses-user-audio-for-adaptive-convers-summary.md","Inworld TTS-2 Uses User Audio for Adaptive Conversations",{"provider":7,"model":8,"input_tokens":3858,"output_tokens":3859,"processing_time_ms":3860,"cost_usd":3861},7604,2307,26632,0.0026518,{"type":14,"value":3863,"toc":3931},[3864,3868,3875,3879,3924,3928],[17,3865,3867],{"id":3866},"closed-loop-audio-drives-contextual-adaptation","Closed-Loop Audio Drives Contextual Adaptation",[22,3869,3870,3871,3874],{},"Traditional TTS fails conversations because it ignores user audio signals like sarcasm in \"okay, fine\" or pacing after a joke. TTS-2 fixes this by inputting full prior-turn audio directly, carrying tone, emotion, and rhythm across exchanges without developers adding ",[3767,3872,3873],{},"prior_audio"," fields. This automatic context makes responses feel attentive: relieved after good news, somber after bad. Run it in persistent Realtime sessions for seamless flow.",[17,3876,3878],{"id":3877},"expressive-controls-via-tags-and-prompts","Expressive Controls via Tags and Prompts",[22,3880,3881,3882,3885,3886,3889,3890,3893,3894,3897,3898,3897,3901,3897,3904,3907,3908,3911,3912,3897,3916,3919,3920,3923],{},"Steer output with four integrated capabilities: simple tags like ",[3767,3883,3884],{},"[sad]"," or ",[3767,3887,3888],{},"[excited]","; natural English prompts such as ",[3767,3891,3892],{},"[speak sadly, as if something bad just happened]","; paralinguistic acts including ",[3767,3895,3896],{},"[laugh]",", ",[3767,3899,3900],{},"[sigh]",[3767,3902,3903],{},"[breathe]",[3767,3905,3906],{},"[clear_throat]",", or ",[3767,3909,3910],{},"[cough]","; and disfluencies like ",[3913,3914,3915],"em",{},"uh",[3913,3917,3918],{},"um",", self-corrections, or mid-phrase pauses that vary by speaker profile (e.g., energetic vs. hesitant fillers). Clone voices in two steps: upload 5–15 seconds clean audio to ",[3767,3921,3922],{},"\u002Fvoices\u002Fv1\u002Fvoices:clone",", get ID, then use normally for consistent identity across languages.",[17,3925,3927],{"id":3926},"full-pipeline-for-low-latency-voice-agents","Full Pipeline for Low-Latency Voice Agents",[22,3929,3930],{},"TTS-2 slots into Inworld's stack: Realtime STT profiles user (age, accent, pitch, emotion, pacing) in one pass; Router selects from 200+ models based on context; all over single WebSocket with sub-200ms median TTS time-to-first-audio. Prior version (TTS 1.5) tops Artificial Analysis Speech Arena leaderboard over Google (#2) and ElevenLabs (#3), proving quality baseline while TTS-2 advances behavior.",{"title":40,"searchDepth":41,"depth":41,"links":3932},[3933,3934,3935],{"id":3866,"depth":41,"text":3867},{"id":3877,"depth":41,"text":3878},{"id":3926,"depth":41,"text":3927},[76],{"content_references":3938,"triage":3951},[3939,3944,3948],{"type":3940,"title":3941,"url":3942,"context":3943},"other","Artificial Analysis Speech Arena","https:\u002F\u002Fartificialanalysis.ai\u002Ftext-to-speech\u002Fleaderboard","cited",{"type":3940,"title":3945,"url":3946,"context":3947},"Inworld TTS Docs","https:\u002F\u002Fdocs.inworld.ai\u002Ftts\u002Ftts","recommended",{"type":3940,"title":3949,"url":3950,"context":3947},"Realtime TTS-2 Technical Details","https:\u002F\u002Finworld.ai\u002Fblog\u002Frealtime-tts-2",{"relevance":3780,"novelty":3780,"quality":3719,"actionability":41,"composite":3952,"reasoning":3953},3.05,"Category: AI & LLMs. The article discusses a new TTS model that enhances conversational AI by adapting to user audio, which is relevant to AI product builders. However, it lacks practical steps for implementation, making it less actionable for the audience.","\u002Fsummaries\u002Face545b6934c65f0-inworld-tts-2-uses-user-audio-for-adaptive-convers-summary","2026-05-06 00:34:38","2026-05-06 16:14:13",{"title":3856,"description":40},{"loc":3954},"ace545b6934c65f0","MarkTechPost","https:\u002F\u002Fwww.marktechpost.com\u002F2026\u002F05\u002F05\u002Finworld-ai-launches-realtime-tts-2-a-closed-loop-voice-model-that-adapts-to-how-you-actually-talk\u002F","summaries\u002Face545b6934c65f0-inworld-tts-2-uses-user-audio-for-adaptive-convers-summary",[63,3964],"ai-news","Realtime TTS-2 processes prior user audio—not just transcripts—to match tone, pacing, and emotion, enabling natural back-and-forth via closed-loop system over WebSocket with sub-200ms latency.",[3964],"G0VvLsg4T2NOx3rg6zUBLUgjICQZER1AmspB8-ua28I"]