[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"summary-c26381c52d1b03a3-claude-code-loops-generate-100-200-week-passive-in-summary":3,"summaries-facets-categories":138,"summary-related-c26381c52d1b03a3-claude-code-loops-generate-100-200-week-passive-in-summary":3707},{"id":4,"title":5,"ai":6,"body":13,"categories":112,"created_at":114,"date_modified":114,"description":115,"extension":116,"faq":114,"featured":117,"kicker_label":114,"meta":118,"navigation":119,"path":120,"published_at":121,"question":114,"scraped_at":122,"seo":123,"sitemap":124,"source_id":125,"source_name":126,"source_type":127,"source_url":128,"stem":129,"tags":130,"thumbnail_url":114,"tldr":135,"tweet":114,"unknown_tags":136,"__hash__":137},"summaries\u002Fsummaries\u002Fc26381c52d1b03a3-claude-code-loops-generate-100-200-week-passive-in-summary.md","Claude Code Loops Generate $100-200\u002FWeek Passive Income",{"provider":7,"model":8,"input_tokens":9,"output_tokens":10,"processing_time_ms":11,"cost_usd":12},"openrouter","x-ai\u002Fgrok-4.1-fast",6586,1611,17519,0.00210005,{"type":14,"value":15,"toc":104},"minimark",[16,21,47,51,73,77,87,91],[17,18,20],"h2",{"id":19},"build-reusable-claude-skills-for-step-by-step-automation","Build Reusable Claude Skills for Step-by-Step Automation",[22,23,24,25,29,30,34,35,38,39,42,43,46],"p",{},"Claude skills are .md files defining structured, repeatable tasks via numbered steps, invoked with ",[26,27,28],"code",{},"claude-p \u002Fskillname"," in terminal for headless execution. To create one, prompt Claude Code: \"fetch Anthropic Claude Code skills docs; create placeholder for ",[31,32,33],"span",{},"skillname",".md\". Edit the template to outline exact steps—e.g., for bug hunting: (1) poll Kali for new prediction markets and log to ",[26,36,37],{},"new_markets.json","; (2) group events by type; (3) run checklist for vulnerabilities (frontend batches, logs, exploits); (4) if bug found, email support@kali with details. Integrate Python scripts for data fetching (",[26,40,41],{},"fetch_new_markets.py","), JSON processing, and emailing via Gmail token.json. This modular setup runs reliably every cycle, avoiding ad-hoc prompts. Claude handles third-party API changes better than wrappers like OpenClaude, as ",[26,44,45],{},"\u002Fskill"," triggers official execution.",[17,48,50],{"id":49},"infinite-bash-loop-enables-247-hands-off-operation","Infinite Bash Loop Enables 24\u002F7 Hands-Off Operation",[22,52,53,54,57,58,61,62,64,65,68,69,72],{},"Wrap skill invocation in ",[26,55,56],{},"while true; do claude-p \u002Fskillname; sleep 60; done"," to loop indefinitely, pausing 60 seconds (or 3600 for hourly) post-run. Run in a separate terminal outside Claude Code session. Update ",[26,59,60],{},"settings.json"," to auto-approve bash commands: add permissions for ",[26,63,41],{},", ",[26,66,67],{},"send_report.py",". This yields true passivity—e.g., one loop scans Kali markets continuously, detecting minor bugs ($25 bounty), moderate ($50), severe ($100), or pre-listing extras ($10). Author nets $100-200\u002Fweek from this alone; others yield $20-300 or losses (unshared). Scale by adjusting sleep for API limits, adding system prompts via ",[26,70,71],{},"claude-p --system",", or chaining bash commands. GitHub repo (AllAboutAI-YT) provides open templates.",[17,74,76],{"id":75},"profitable-example-kali-bug-bounty-scanner","Profitable Example: Kali Bug Bounty Scanner",[22,78,79,80,83,84,86],{},"Target Kali's market bug bounty: poll for new prediction markets, extract logs via ",[26,81,82],{},"claim_log",", analyze for exploits using fixed checklist (ensures consistency). On match, auto-email support@kali with proof. Pair watcher script logging to ",[26,85,37],{}," with skill consuming it—loop triggers only on fresh data, minimizing noise. Outcomes: fully autonomous, low-creativity barrier (Claude generates 80% code), runs headless. Trade-offs: rare severe bugs; on\u002Foff earnings from market volume. Replicate for any bounty\u002FAPI monitoring—author runs multiples, some breakeven.",[17,88,90],{"id":89},"quick-demo-hacker-news-email-digest","Quick Demo: Hacker News Email Digest",[22,92,93,94,97,98,100,101,103],{},"Prompt Claude: \"Automail skill: step-by-step fetch top 5 Hacker News posts (URLs, scores), save news.json, send Gmail via token.json.\" Steps: (1) ",[26,95,96],{},"python fetch_hn.py"," for JSON; (2) ",[26,99,67],{}," emails digest. Loop sends every 60s (demo flaw: duplicates; fix with hourly sleep). Permissions fix: ",[26,102,60],{}," allows scripts. Result: 5 emails with titles like \"Built camera-only vacuum roll for \u003C$300\" link to HN. Refine to dedupe or schedule for production—proves loop scales to income tasks.",{"title":105,"searchDepth":106,"depth":106,"links":107},"",2,[108,109,110,111],{"id":19,"depth":106,"text":20},{"id":49,"depth":106,"text":50},{"id":75,"depth":106,"text":76},{"id":89,"depth":106,"text":90},[113],"AI Automation",null,"My Easy Claude Code Passive Income AI Automation Setup\n\n👊 Become a YouTube Member to Support Me:\nhttps:\u002F\u002Fwww.youtube.com\u002Fc\u002FAllAboutAI\u002Fjoin\n\nFor Agents:\nwww.skillsmd.store\n\nMy AI Video Course:\nhttps:\u002F\u002Fwww.theaivideocourse.com\u002F\n\n🔥Open GH:\nhttps:\u002F\u002Fgithub.com\u002FAllAboutAI-YT\u002F\n\nBusiness Inquiries:\nkbfseo@gmail.com​","md",false,{},true,"\u002Fsummaries\u002Fc26381c52d1b03a3-claude-code-loops-generate-100-200-week-passive-in-summary","2026-04-08 11:33:12","2026-04-08 14:47:47",{"title":5,"description":115},{"loc":120},"c26381c52d1b03a3","All About AI","video","https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=3hioz8dlTFs","summaries\u002Fc26381c52d1b03a3-claude-code-loops-generate-100-200-week-passive-in-summary",[131,132,133,134],"automation","python","ai-automation","ai-llms","Run Claude skills in a bash 'while true' loop with 'sleep 60' to automate tasks 24\u002F7: scan Kali markets for bugs worth $25-100 each and auto-email reports, or send Hacker News digests.",[133,134],"0ZLh7qHbbHaUipbRBSFAtzccOV_tZEavl9WbqtYsxOw",[139,142,145,148,150,153,155,157,159,161,163,165,168,170,172,174,176,178,180,182,184,186,189,192,194,196,199,201,203,206,208,210,212,214,216,218,220,222,224,226,228,230,232,234,236,238,240,242,244,246,248,250,252,254,256,258,260,262,264,266,268,270,272,274,276,278,280,282,284,286,288,290,292,294,296,298,300,302,304,306,308,310,312,314,316,318,320,322,324,326,328,330,332,334,336,338,340,342,344,346,348,350,352,354,356,358,360,362,364,366,368,370,372,374,376,378,380,382,384,386,388,390,392,394,396,398,400,402,404,406,408,410,412,414,416,418,420,422,424,426,428,430,432,434,436,438,440,442,444,446,448,450,452,454,456,458,461,463,465,467,469,471,473,475,477,479,481,483,485,487,489,491,493,495,497,499,501,503,505,507,509,511,513,515,517,519,521,523,525,527,529,531,533,535,537,539,541,543,545,547,549,551,553,555,557,559,561,563,565,567,569,571,573,575,577,579,581,583,585,587,589,591,593,595,597,599,601,603,605,607,609,611,613,615,617,619,621,623,625,627,629,631,633,635,637,639,641,643,645,647,649,651,653,655,657,659,661,663,665,667,669,671,673,675,677,679,681,683,685,687,689,691,693,695,697,699,701,703,705,707,709,711,713,715,717,719,721,723,725,727,729,731,733,735,737,739,741,743,745,747,749,751,753,755,757,759,761,763,765,767,769,771,773,775,777,779,781,783,785,787,789,791,793,795,797,799,801,803,805,807,809,811,813,815,817,819,821,823,825,827,829,831,833,835,837,839,841,843,845,847,849,851,853,855,857,859,861,863,865,867,869,871,873,875,877,879,881,883,885,887,889,891,893,895,897,899,901,903,905,907,909,911,913,915,917,919,921,923,925,927,929,931,933,935,937,939,941,943,945,947,949,951,953,955,957,959,961,963,965,967,969,971,973,975,977,979,981,983,985,987,989,991,993,995,997,999,1001,1003,1005,1007,1009,1011,1013,1015,1017,1019,1021,1023,1025,1027,1029,1031,1033,1035,1037,1039,1041,1043,1045,1047,1049,1051,1053,1055,1057,1059,1061,1063,1065,1067,1069,1071,1073,1075,1077,1079,1081,1083,1085,1087,1089,1091,1093,1095,1097,1099,1101,1103,1105,1107,1109,1111,1113,1115,1117,1119,1121,1123,1125,1127,1129,1131,1133,1135,1137,1139,1141,1143,1145,1147,1149,1151,1153,1155,1157,1159,1161,1163,1165,1167,1169,1171,1173,1175,1177,1179,1181,1183,1185,1187,1189,1191,1193,1195,1197,1199,1201,1203,1205,1207,1209,1211,1213,1215,1217,1219,1221,1223,1225,1227,1229,1231,1233,1235,1237,1239,1241,1243,1245,1247,1249,1251,1253,1255,1257,1259,1261,1263,1265,1267,1269,1271,1273,1275,1277,1279,1281,1283,1285,1287,1289,1291,1293,1295,1297,1299,1301,1303,1305,1307,1309,1311,1313,1315,1317,1319,1321,1323,1325,1327,1329,1331,1333,1335,1337,1339,1341,1343,1345,1347,1349,1351,1353,1355,1357,1359,1361,1363,1365,1367,1369,1371,1373,1375,1377,1379,1381,1383,1385,1387,1389,1391,1393,1395,1397,1399,1401,1403,1405,1407,1409,1411,1413,1415,1417,1419,1421,1423,1425,1427,1429,1431,1433,1435,1437,1439,1441,1443,1445,1447,1449,1451,1453,1455,1457,1459,1461,1463,1465,1467,1469,1471,1473,1475,1477,1479,1481,1483,1485,1487,1489,1491,1493,1495,1497,1499,1501,1503,1505,1507,1509,1511,1513,1515,1517,1519,1521,1523,1525,1527,1529,1531,1533,1535,1537,1539,1541,1543,1545,1547,1549,1551,1553,1555,1557,1559,1561,1563,1565,1567,1569,1571,1573,1575,1577,1579,1581,1583,1585,1587,1589,1591,1593,1595,1597,1599,1601,1603,1605,1607,1609,1611,1613,1615,1617,1619,1621,1623,1625,1627,1629,1631,1633,1635,1637,1639,1641,1643,1645,1647,1649,1651,1653,1655,1657,1659,1661,1663,1665,1667,1669,1671,1673,1675,1677,1679,1681,1683,1685,1687,1689,1691,1693,1695,1697,1699,1701,1703,1705,1707,1709,1711,1713,1715,1717,1719,1721,1723,1725,1727,1729,1731,1733,1735,1737,1739,1741,1743,1745,1747,1749,1751,1753,1755,1757,1759,1761,1763,1765,1767,1769,1771,1773,1775,1777,1779,1781,1783,1785,1787,1789,1791,1793,1795,1797,1799,1801,1803,1805,1807,1809,1811,1813,1815,1817,1819,1821,1823,1825,1827,1829,1831,1833,1835,1837,1839,1841,1843,1845,1847,1849,1851,1853,1855,1857,1859,1861,1863,1865,1867,1869,1871,1873,1875,1877,1879,1881,1883,1885,1887,1889,1891,1893,1895,1897,1899,1901,1903,1905,1907,1909,1911,1913,1915,1917,1919,1921,1923,1925,1927,1929,1931,1933,1935,1937,1939,1941,1943,1945,1947,1949,1951,1953,1955,1957,1959,1961,1963,1965,1967,1969,1971,1973,1975,1977,1979,1981,1983,1985,1987,1989,1991,1993,1995,1997,1999,2001,2003,2005,2007,2009,2011,2013,2015,2017,2019,2021,2023,2025,2027,2029,2031,2033,2035,2037,2039,2041,2043,2045,2047,2049,2051,2053,2055,2057,2059,2061,2063,2065,2067,2069,2071,2073,2075,2077,2079,2081,2083,2085,2087,2089,2091,2093,2095,2097,2099,2101,2103,2105,2107,2109,2111,2113,2115,2117,2119,2121,2123,2125,2127,2129,2131,2133,2135,2137,2139,2141,2143,2145,2147,2149,2151,2153,2155,2157,2159,2161,2163,2165,2167,2169,2171,2173,2175,2177,2179,2181,2183,2185,2187,2189,2191,2193,2195,2197,2199,2201,2203,2205,2207,2209,2211,2213,2215,2217,2219,2221,2223,2225,2227,2229,2231,2233,2235,2237,2239,2241,2243,2245,2247,2249,2251,2253,2255,2257,2259,2261,2263,2265,2267,2269,2271,2273,2275,2277,2279,2281,2283,2285,2287,2289,2291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It breaks jobs into tasks, tags AI-performable portions, and converts them to wage value: if 30% of a $60k job is automatable, that's $18k exposed. Visible AI adoption disrupts only 2.2% of total wages ($211B\u002Fyear)—tech layoffs, call centers, junior coding. Hidden exposure in admin, finance, clerical, legal, professional services hits 11.7% ($1.2T), because companies lag deployment due to inertia, budgets, habits. Iceberg Index = hidden\u002Fvisible ratio (5x), proving current pain is just the tip; agentic AI and browser-use accelerate full evaporation as tasks vanish.",[22,3726,3727],{},"AI already outputs over 1 billion code lines daily, exceeding human volume. Tech (6% workforce) drives 30% S&P value and 1.1 GDP growth points via AI infra spend, but ripples hit non-tech states hardest via secondary collapse: automate office work, kill cleaners, cafes, bodegas.",[22,3729,3730],{},"Challenger, Gray & Christmas data shows 1M+ US layoffs announced for 2025 due to AI, outpacing counts.",[17,3732,3734],{"id":3733},"pavm-scores-processes-for-targeted-automation","PAVM Scores Processes for Targeted Automation",[22,3736,3737],{},"Author's Process Automation Value Model (PAVM) counters Iceberg doom with actionable prioritization: Automation Potential Score (APS) = Complexity + Volume + Automatability + Risk. High APS processes (repetitive, high-volume, low-risk) get robots first for max FTE release, financial benefit. Medium needs simplification; low requires fixing root dysfunction.",[22,3739,3740],{},"From APS derive: Effort Estimate (EE), FTE Release (FR), Financial Benefit (FB), Upskill Index (UI), Net Program Value (NPV). Pair with Reskilling Factory: map freed workers' skills, chart upskill paths, match to high-value roles. Focuses on recycling talent, not sacking—ranks backlog objectively, avoiding gut-feel automation.",[17,3742,3744],{"id":3743},"metrics-fail-ais-service-economy-carnage","Metrics Fail AI's Service Economy Carnage",[22,3746,3747],{},"GDP\u002Funemployment blind to AI: automates services (paperwork, emails, triage) without output change. Hospital admin drops from 6 to 1 hour\u002Fpatient via AI? Productivity flat, labor vanishes invisibly. GDP counts sales, not savings; tracks new subs but misses $1.2T displacement. Productivity lags until output rises, hiding efficiency. Report correlational, not causal; adaptation slower than change, retraining lags planning cycles.",[17,3749,3751],{"id":3750},"build-irreplaceable-skills-or-go-manual","Build Irreplaceable Skills or Go Manual",[22,3753,3754],{},"AI impersonates soft skills but can't embody: prioritize leadership, communication, creativity, coordination, judgment. Or shift to physical manipulation (hands-on work). Repetitive jobs die regardless of prompt certs—models like Iceberg\u002FPAVM flag high-repetitiveness. Society needs national retraining, tax reforms (dividends, ultra-rich), safety nets; instead, middle class taxed harder amid mortgage\u002Fdebt traps.",{"title":105,"searchDepth":106,"depth":106,"links":3756},[3757,3758,3759,3760],{"id":3720,"depth":106,"text":3721},{"id":3733,"depth":106,"text":3734},{"id":3743,"depth":106,"text":3744},{"id":3750,"depth":106,"text":3751},[113],{"content_references":3763,"triage":3776},[3764,3769,3773],{"type":3765,"title":3766,"author":3767,"context":3768},"report","The Iceberg Index: Measuring Skills-Centered Exposure in the AI Economy","MIT","cited",{"type":3770,"title":3771,"author":3767,"context":3772},"other","MIT study on 95% AI project failure","mentioned",{"type":3765,"title":3774,"author":3775,"context":3768},"Layoff announcements due to AI","Challenger, Gray & Christmas",{"relevance":3777,"novelty":3778,"quality":3777,"actionability":3777,"composite":3779,"reasoning":3780},4,3,3.8,"Category: AI Automation. The article discusses the Iceberg Index and its implications for task automation, which directly relates to the audience's interest in AI's impact on work and productivity. It provides a framework (PAVM) for prioritizing automation efforts, which is actionable for product builders looking to implement AI solutions.","\u002Fsummaries\u002Fe9d8c7c14fe5e5ec-ai-automates-11-7-of-wages-5x-visible-impact-summary","2026-04-16 02:56:41",{"title":3710,"description":105},{"loc":3781},"e9d8c7c14fe5e5ec","__oneoff__","article","https:\u002F\u002Fwww.linkedin.com\u002Fpulse\u002Fempirical-reflections-silent-murdering-workforce-via-marco-van-hurne-hwgvf\u002F?trk=article-ssr-frontend-pulse_little-text-block","summaries\u002Fe9d8c7c14fe5e5ec-ai-automates-11-7-of-wages-5x-visible-impact-summary",[131,134,133],"MIT's Iceberg Index simulation of 151M US workers across 923 occupations shows AI can already handle tasks worth 11.7% of wages ($1.2T), versus 2.2% ($211B) visibly disrupted—task nibbling leads to job extinction.",[134,133],"lgJnlPMRyB52g2sEqWFJ0gIcK-3kxyqyblao1OUU0uk",{"id":3795,"title":3796,"ai":3797,"body":3802,"categories":3977,"created_at":114,"date_modified":114,"description":105,"extension":116,"faq":114,"featured":117,"kicker_label":114,"meta":3978,"navigation":119,"path":3995,"published_at":3996,"question":114,"scraped_at":3997,"seo":3998,"sitemap":3999,"source_id":4000,"source_name":4001,"source_type":3787,"source_url":4002,"stem":4003,"tags":4004,"thumbnail_url":114,"tldr":4006,"tweet":114,"unknown_tags":4007,"__hash__":4008},"summaries\u002Fsummaries\u002F2b86b56581be5fbf-crawl4ai-build-async-web-crawlers-with-extraction--summary.md","Crawl4AI: Build Async Web Crawlers with Extraction & JS",{"provider":7,"model":8,"input_tokens":3798,"output_tokens":3799,"processing_time_ms":3800,"cost_usd":3801},9389,1775,8916,0.00274265,{"type":14,"value":3803,"toc":3971},[3804,3808,3823,3848,3852,3859,3876,3880,3895,3906,3920,3924,3931,3938,3949,3964],[17,3805,3807],{"id":3806},"environment-setup-for-reliable-crawling","Environment Setup for Reliable Crawling",[22,3809,3810,3811,3814,3815,3818,3819,3822],{},"Install Crawl4AI v0.8.x in Colab with system deps (libnss3, libatk1.0-0, etc.), pip packages (crawl4ai, nest_asyncio, pydantic), and Playwright Chromium via ",[26,3812,3813],{},"playwright install chromium && install-deps",". Apply ",[26,3816,3817],{},"nest_asyncio"," for async notebooks. Use ",[26,3820,3821],{},"AsyncWebCrawler()"," context manager for all runs.",[22,3824,3825,3826,3829,3830,64,3833,64,3836,3839,3840,3843,3844,3847],{},"Basic crawl: ",[26,3827,3828],{},"await crawler.arun(url=\"https:\u002F\u002Fexample.com\")"," yields ",[26,3831,3832],{},"result.success",[26,3834,3835],{},"result.metadata['title']",[26,3837,3838],{},"result.markdown.raw_markdown",". Config via ",[26,3841,3842],{},"BrowserConfig(headless=True, viewport_width=1920, user_agent=...)"," and ",[26,3845,3846],{},"CrawlerRunConfig(cache_mode=CacheMode.BYPASS, page_timeout=30000, wait_until=\"networkidle\")"," handles dynamic sites like httpbin.org\u002Fhtml, ensuring full JS-rendered content.",[17,3849,3851],{"id":3850},"markdown-cleaning-and-query-filtering","Markdown Cleaning and Query Filtering",[22,3853,3854,3855,3858],{},"Generate clean markdown with ",[26,3856,3857],{},"DefaultMarkdownGenerator(content_filter=PruningContentFilter(threshold=0.4, threshold_type=\"fixed\", min_word_threshold=20))",". On Wikipedia's Web_scraping page, raw markdown shrinks ~50-70% to fit_markdown by removing noise.",[22,3860,3861,3862,3865,3866,64,3869,3843,3872,3875],{},"For relevance, apply ",[26,3863,3864],{},"BM25ContentFilter(user_query=\"legal aspects privacy data protection\", bm25_threshold=1.2)","—filters Wikipedia to query-matched sections only, e.g., 800+ chars of privacy-focused content. Use ",[26,3867,3868],{},"css_selector=\"article, main\"",[26,3870,3871],{},"excluded_tags=[\"nav\", \"footer\"]",[26,3873,3874],{},"remove_overlay_elements=True"," to target main content, yielding concise markdown (e.g., 500 chars preview without nav junk).",[17,3877,3879],{"id":3878},"structured-extraction-css-llm-and-js-handling","Structured Extraction: CSS, LLM, and JS Handling",[22,3881,3882,3883,3886,3887,3890,3891,3894],{},"CSS extraction via ",[26,3884,3885],{},"JsonCssExtractionStrategy(schema)",": Define ",[26,3888,3889],{},"baseSelector"," (e.g., \"div.mw-parser-output h2\") and fields like ",[26,3892,3893],{},"{\"name\": \"heading_text\", \"selector\": \"span.mw-headline\", \"type\": \"text\"}"," or attributes. Extracts 10+ Wikipedia Python headings or Hacker News top stories (rank, title, url, site) as JSON list—fast, no LLM needed.",[22,3896,3897,3898,3901,3902,3905],{},"LLM extraction: Pydantic schema ",[26,3899,3900],{},"class Article(BaseModel): title: str; summary: str; topics: List[str]",". Use ",[26,3903,3904],{},"LLMExtractionStrategy(llm_config=LLMConfig(provider=\"openai\u002Fgpt-4o-mini\", api_token=...), schema=Article.model_json_schema(), instruction=\"Extract article titles and summaries.\")"," on HN for structured JSON.",[22,3907,3908,3909,3912,3913,64,3916,3919],{},"JS execution: Inject ",[26,3910,3911],{},"js_code=[\"window.scrollTo(0, document.body.scrollHeight); await new Promise(r => setTimeout(r, 1000));\"]"," with ",[26,3914,3915],{},"wait_for=\"css:body\"",[26,3917,3918],{},"delay_before_return_html=1.0"," to load dynamic content.",[17,3921,3923],{"id":3922},"scaling-deep-crawls-concurrency-sessions-and-outputs","Scaling: Deep Crawls, Concurrency, Sessions, and Outputs",[22,3925,3926,3927,3930],{},"Deep crawl with ",[26,3928,3929],{},"BFSDeepCrawlStrategy(max_depth=2, max_pages=5, filter_chain=FilterChain([DomainFilter(allowed_domains=[\"docs.crawl4ai.com\"]), URLPatternFilter(patterns=[\"*quickstart*\"])]))","—crawls 5 targeted docs.crawl4ai.com pages.",[22,3932,3933,3934,3937],{},"Concurrent: ",[26,3935,3936],{},"await crawler.arun_many(urls=[\"httpbin.org\u002Fhtml\", ...])"," processes 5 URLs in parallel, reporting success\u002Fcontent lengths.",[22,3939,3940,3941,3944,3945,3948],{},"Sessions: Share ",[26,3942,3943],{},"session_id=\"my_session\""," across ",[26,3946,3947],{},"arun()"," calls to persist cookies (e.g., set\u002Fread via httpbin.org\u002Fcookies).",[22,3950,3951,3952,3955,3956,3959,3960,3963],{},"Extras: ",[26,3953,3954],{},"screenshot=True"," captures base64 PNG; ",[26,3957,3958],{},"media['images']"," lists img srcs; ",[26,3961,3962],{},"result.links['internal\u002Fexternal']"," analyzes site structure (e.g., 20+ internals from docs.crawl4ai.com).",[22,3965,3966,3967,3970],{},"Real-world: Combine CSS schema for HN stories + pruning for 15 clean stories JSON, saved via ",[26,3968,3969],{},"json.dump(stories, 'hacker_news_stories.json')",". Trade-offs: Bypassing cache speeds dev but risks duplicates; headless=True hides browser but misses visual debug.",{"title":105,"searchDepth":106,"depth":106,"links":3972},[3973,3974,3975,3976],{"id":3806,"depth":106,"text":3807},{"id":3850,"depth":106,"text":3851},{"id":3878,"depth":106,"text":3879},{"id":3922,"depth":106,"text":3923},[113],{"content_references":3979,"triage":3991},[3980,3984,3988],{"type":3981,"title":3982,"url":3983,"context":3768},"tool","Crawl4AI","https:\u002F\u002Fgithub.com\u002Funclecode\u002Fcrawl4ai",{"type":3770,"title":3985,"url":3986,"context":3987},"Crawl4AI Docs","https:\u002F\u002Fdocs.crawl4ai.com\u002F","recommended",{"type":3770,"title":3989,"url":3990,"context":3772},"Crawl4AI Discord","https:\u002F\u002Fdiscord.gg\u002FjP8KfhDhyN",{"relevance":3992,"novelty":3777,"quality":3777,"actionability":3992,"composite":3993,"reasoning":3994},5,4.55,"Category: AI Automation. The article provides a detailed implementation guide for building asynchronous web crawlers using Crawl4AI, which directly addresses practical automation needs for AI-powered product builders. It includes specific code examples and configurations that can be immediately applied, making it highly actionable.","\u002Fsummaries\u002F2b86b56581be5fbf-crawl4ai-build-async-web-crawlers-with-extraction-summary","2026-04-15 00:39:12","2026-04-15 15:39:38",{"title":3796,"description":105},{"loc":3995},"2b86b56581be5fbf","MarkTechPost","https:\u002F\u002Fwww.marktechpost.com\u002F2026\u002F04\u002F14\u002Fa-coding-implementation-of-crawl4ai-for-web-crawling-markdown-generation-javascript-execution-and-llm-based-structured-extraction\u002F","summaries\u002F2b86b56581be5fbf-crawl4ai-build-async-web-crawlers-with-extraction--summary",[132,131,4005,133],"ai-tools","Crawl4AI simplifies advanced web scraping in Python: async crawling, markdown cleaning via pruning\u002FBM25, CSS\u002FLLM structured extraction, JS execution, deep\u002Fconcurrent crawls, sessions, screenshots—all powered by Playwright.",[133],"dTQFBNkWaAgaughpD6dXHDEhCVQtFtdF2lg4_xpYDpY",{"id":4010,"title":4011,"ai":4012,"body":4017,"categories":4076,"created_at":114,"date_modified":114,"description":105,"extension":116,"faq":114,"featured":117,"kicker_label":114,"meta":4077,"navigation":119,"path":4089,"published_at":4090,"question":114,"scraped_at":4091,"seo":4092,"sitemap":4093,"source_id":4094,"source_name":4095,"source_type":3787,"source_url":4096,"stem":4097,"tags":4098,"thumbnail_url":114,"tldr":4100,"tweet":114,"unknown_tags":4101,"__hash__":4102},"summaries\u002Fsummaries\u002F41ef3a9324aac236-databricks-rag-low-dim-qwen3-rerank-for-89-recall--summary.md","Databricks RAG: Low-Dim Qwen3 + Rerank for 89% Recall@10",{"provider":7,"model":8,"input_tokens":4013,"output_tokens":4014,"processing_time_ms":4015,"cost_usd":4016},6251,1773,31729,0.0021142,{"type":14,"value":4018,"toc":4071},[4019,4023,4026,4030,4060,4064],[17,4020,4022],{"id":4021},"minimize-dimensions-and-tune-queries-to-cut-latency-without-losing-recall","Minimize Dimensions and Tune Queries to Cut Latency Without Losing Recall",[22,4024,4025],{},"Higher-dim embeddings (1024-1536) increase ANN scan costs, memory use, and slow throughput—test empirically to pick the lowest dim preserving recall@10, like 384 over 1024 if equivalent. Limit num_results to 10-100 (default 50 with reranker, 10 without) since HNSW scales linearly and excess slows queries without better answers. Match endpoint SKU to scale: Standard for \u003C2M 768-dim vectors (low latency), Storage-Optimized for \u003C1B vectors (cheaper, higher latency, dims divisible by 16, triggered sync only). Add metadata filters (e.g., {\"document_type\": \"manual\"}) to Delta tables for scoped ANN scans, boosting precision\u002Fspeed. Stick to ANN for semantic queries (highest QPS); hybrid (ANN+BM25) only for exact terms like SKUs or ISO 13849-1.",[17,4027,4029],{"id":4028},"self-manage-qwen3-mrl-embeddings-to-hit-target-dims-like-256","Self-Manage Qwen3 MRL Embeddings to Hit Target Dims Like 256",[22,4031,4032,4033,4036,4037,4040,4041,4044,4045,3843,4048,4051,4052,4055,4056,4059],{},"Fixed-dim models like databricks-gte-large-en (always 1024) force re-embedding for size changes. Qwen3-Embedding-0.6B uses Matryoshka Representation Learning (MRL) to pack signal into early dims, enabling safe truncation to any power-of-2 (32-1024). Managed Delta sync ignores ",[26,4034,4035],{},"dimensions"," param, always outputs 1024—use self-managed: pre-compute with API (",[26,4038,4039],{},"{\"input\": [text], \"dimensions\": 256}","), UDF to Delta table (",[26,4042,4043],{},"chunk_embedding","), then index with ",[26,4046,4047],{},"embedding_vector_column",[26,4049,4050],{},"embedding_dimension=256",". Query same way: embed query at 256, pass vector to ",[26,4053,4054],{},"similarity_search",". For prod scale, swap UDF for ",[26,4057,4058],{},"ai_query()"," batch inference.",[17,4061,4063],{"id":4062},"rerank-top-50-ann-hits-for-15pt-recall-gain-over-vector-distance-alone","Rerank Top-50 ANN Hits for 15pt Recall Gain Over Vector Distance Alone",[22,4065,4066,4067,4070],{},"ANN cosine similarity doesn't guarantee query relevance—close vectors (e.g., \"sensor calibration\" vs. \"actuator recalibration\") rank by distance, not utility. Databricks Reranker re-scores top-50 with query-aware model: 74% ANN-only recall@10 jumps to 89% (+15pts), beating cloud rivals by 10pts. Enable via ",[26,4068,4069],{},"reranker={\"model\": \"databricks_reranker\", \"parameters\": {\"columns_to_rerank\": [\"chunk\", \"doc_summary\"]}}"," (first 2000 chars, richest first; order matters). Adds ~1.5s latency—skip only for \u003C200ms needs, >5 QPS unscaled, or non-RAG search. Production stack: Qwen3@256dims (self-managed), ANN HNSW, triggered Delta sync, rerank metadata.",{"title":105,"searchDepth":106,"depth":106,"links":4072},[4073,4074,4075],{"id":4021,"depth":106,"text":4022},{"id":4028,"depth":106,"text":4029},{"id":4062,"depth":106,"text":4063},[147],{"content_references":4078,"triage":4087},[4079,4081,4083,4085],{"type":3981,"title":4080,"context":3987},"databricks-qwen3-embedding-0-6b",{"type":3981,"title":4082,"context":3987},"databricks_reranker",{"type":3981,"title":4084,"context":3772},"databricks-gte-large-en",{"type":3981,"title":4086,"context":3772},"databricks-bge-large-en",{"relevance":3992,"novelty":3777,"quality":3777,"actionability":3992,"composite":3993,"reasoning":4088},"Category: AI & LLMs. The article provides practical insights on optimizing embedding dimensions and reranking techniques for improved recall in AI applications, addressing specific pain points for developers integrating AI features. It includes actionable steps for implementation, such as using self-managed embeddings and reranking methods, making it highly relevant and actionable for the target audience.","\u002Fsummaries\u002F41ef3a9324aac236-databricks-rag-low-dim-qwen3-rerank-for-89-recall-summary","2026-05-05 05:52:27","2026-05-05 16:09:29",{"title":4011,"description":105},{"loc":4089},"41ef3a9324aac236","Towards AI","https:\u002F\u002Fpub.towardsai.net\u002Fvector-search-done-right-best-practices-qwen3-dimension-control-and-why-reranking-is-e021e18be13c?source=rss----98111c9905da---4","summaries\u002F41ef3a9324aac236-databricks-rag-low-dim-qwen3-rerank-for-89-recall--summary",[132,4099,134,133],"machine-learning","Minimize embedding dims to 256 with Qwen3 MRL (self-managed path), set num_results=50, always rerank ANN top-50 candidates for +15pts recall@10 over 74% baseline.",[134,133],"16bkywE38TpOvJuszr5Lm3OSpE0lMxkPQA4iNlm95A8",{"id":4104,"title":4105,"ai":4106,"body":4111,"categories":4151,"created_at":114,"date_modified":114,"description":105,"extension":116,"faq":114,"featured":117,"kicker_label":114,"meta":4152,"navigation":119,"path":4163,"published_at":4164,"question":114,"scraped_at":4165,"seo":4166,"sitemap":4167,"source_id":4168,"source_name":4169,"source_type":3787,"source_url":4170,"stem":4171,"tags":4172,"thumbnail_url":114,"tldr":4174,"tweet":114,"unknown_tags":4175,"__hash__":4176},"summaries\u002Fsummaries\u002F3fc7b2368b61c268-h2e-framework-deterministic-ai-safety-via-geometri-summary.md","H2E Framework: Deterministic AI Safety via Geometric Constraints",{"provider":7,"model":8,"input_tokens":4107,"output_tokens":4108,"processing_time_ms":4109,"cost_usd":4110},5527,2073,10155,0.00163505,{"type":14,"value":4112,"toc":4146},[4113,4117,4120,4123,4127,4130,4133,4137,4140,4143],[17,4114,4116],{"id":4115},"three-layer-boundary-for-proactive-ai-governance","Three-Layer Boundary for Proactive AI Governance",[22,4118,4119],{},"Build deterministic AI safety by structuring operations into H2E's World Model Layer (V-JEPA 2's self-supervised spatiotemporal video embeddings for real-time ground truth), Geometric Governance (prevents unsafe outputs by hardcoding constraints into model logic\u002Fweights, making violations mathematically impossible), and Deterministic Reasoning (requires verifiable claims before token generation). This shifts from probabilistic guessing to expert kernels tied to physical reality, enabling Sovereign AI with auditable local hosting under SAIL licenses—AI executes only if aligned, treating the 'Wall' (geometric bounds) as a technical-legal contract that breaches on deviation.",[22,4121,4122],{},"Trade-off: Sacrifices flexibility of cloud models for mission-critical determinism in aerospace\u002Fgovernment, avoiding foreign update risks while ensuring outputs match expert protocols.",[17,4124,4126],{"id":4125},"perception-action-loop-grounds-reasoning-in-video-data","Perception-Action Loop Grounds Reasoning in Video Data",[22,4128,4129],{},"Process raw video into safe actions: Sample 16 frames (256x256) via PyAV, extract 1024D visual embeddings with V-JEPA 2 (Hugging Face transformers, vjepa2-vitl-fpc64-256), select 4 keyframes for Claude 4.7 API (prompted as 'expert aviation safety controller' for tasks like landing gear failure). Claude analyzes pixels directly for ACTION\u002FEXPLANATION (e.g., low fly-by inspection, runway clearance, ARFF positioning), projecting visual embedding to 384D text space via linear layer for multimodal fusion.",[22,4131,4132],{},"Outcome: Ties reasoning to observable reality, preventing hallucinations—initial Claude output on gear failure video recommends protocol steps verifiable against visuals.",[17,4134,4136],{"id":4135},"sroi-verification-and-nested-adaptation-enforce-alignment","SROI Verification and Nested Adaptation Enforce Alignment",[22,4138,4139],{},"Compute Semantic Return-of-Investment (SROI) as cosine similarity between AI outputs and Expert Intents library: Visual SROI (embedding vs. intents), Text SROI (Claude text vs. intents), Fused SROI average. Reject if \u003C0.75 threshold (e.g., initial 0.0362 visual + 0.5802 text = 0.3082 fused flags 'Representation Gap', blocks action).",[22,4141,4142],{},"Trigger Nested Learning: Freeze V-JEPA\u002FClaude backbones, Adam-optimize projector weights over 100 steps (loss drops 0.0420 to 0.0000, Fused SROI rises to 0.7901). Authorizes aligned action only post-convergence, logging full transparency from pixels to verified decision.",[22,4144,4145],{},"Impact: Adapts without retraining giants, ensuring 100% protocol compliance in high-stakes loops—transforms probability-based AI into deterministic expert systems for aviation safety.",{"title":105,"searchDepth":106,"depth":106,"links":4147},[4148,4149,4150],{"id":4115,"depth":106,"text":4116},{"id":4125,"depth":106,"text":4126},{"id":4135,"depth":106,"text":4136},[],{"content_references":4153,"triage":4160},[4154,4157],{"type":3770,"title":4155,"url":4156,"context":3768},"The Wall Before the Word: H2E Geometric Governance and the Future of AI Government","https:\u002F\u002Fmedium.com\u002Fai-simplified-in-plain-english\u002Fthe-wall-before-the-word-h2e-geometric-governance-and-the-future-of-ai-government-89ff82c7598a",{"type":3981,"title":4158,"url":4159,"context":3772},"h2e_vjepa2_claude4dot7.ipynb","https:\u002F\u002Fgithub.com\u002Ffrank-morales2020\u002FMLxDL\u002Fblob\u002Fmain\u002Fh2e_vjepa2_claude4dot7.ipynb",{"relevance":3778,"novelty":3777,"quality":3777,"actionability":106,"composite":4161,"reasoning":4162},3.25,"Category: AI & LLMs. The article discusses a framework for deterministic AI safety, which is relevant to AI engineering and addresses the need for practical applications in AI product development. However, while it presents novel insights into AI safety mechanisms, it lacks sufficient actionable steps for the audience to implement the concepts discussed.","\u002Fsummaries\u002F3fc7b2368b61c268-h2e-framework-deterministic-ai-safety-via-geometri-summary","2026-04-16 19:38:58","2026-04-19 01:22:22",{"title":4105,"description":105},{"loc":4163},"3fc7b2368b61c268","AI Simplified in Plain English","https:\u002F\u002Fmedium.com\u002Fai-simplified-in-plain-english\u002Fdeterministic-alignment-the-h2e-framework-v-jepa-2-claude-4-7-ae8b61fa8b8b?source=rss----f37ab7d4e76b---4","summaries\u002F3fc7b2368b61c268-h2e-framework-deterministic-ai-safety-via-geometri-summary",[132,4173,134,133],"prompt-engineering","Embed safety as mathematical impossibilities in AI via H2E's three layers: V-JEPA 2 grounds video perception in 1024D reality embeddings, Claude 4.7 reasons multimodally, SROI verifies fused alignment >0.75 threshold or adapts projector weights over 100 steps to ensure expert-compliant actions in aviation.",[134,133],"5BOOkb9r4C0i1fDATFdg8iwfche3b71djRSeJMweX6U"]