<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>Semiautonomous Systems</title><description>Analysis and research on data poisoning, AI crawler enforcement, and digital accountability infrastructure.</description><link>https://semiautonomous.systems/</link><item><title>Scrapling and Crawlee: How Open-Source Scraping Tools Get Detected</title><link>https://semiautonomous.systems/blog/open-source-scraping-tools-detection/</link><guid isPermaLink="true">https://semiautonomous.systems/blog/open-source-scraping-tools-detection/</guid><description>A technical analysis of Scrapling and Crawlee, two popular open-source scraping frameworks, examining their anti-detection features and the behavioral signals that content-layer defenses can exploit.</description><pubDate>Thu, 04 Jun 2026 00:00:00 GMT</pubDate></item><item><title>What Defensive Coordination Actually Looks Like in 2026</title><link>https://semiautonomous.systems/blog/defensive-coordination-2026/</link><guid isPermaLink="true">https://semiautonomous.systems/blog/defensive-coordination-2026/</guid><description>A year after Poison Fountain launched anonymously, no AI lab has acknowledged it, no publisher has named it, and no one has measured it. Compared against Anubis, AIPREF, and Cloudflare Pay Per Crawl, the contrast shows what real defensive coordination requires.</description><pubDate>Wed, 03 Jun 2026 00:00:00 GMT</pubDate></item><item><title>AI Crawler Compliance, Mid-2026: The Blocked-but-Cited Trap</title><link>https://semiautonomous.systems/blog/h1-2026-compliance/</link><guid isPermaLink="true">https://semiautonomous.systems/blog/h1-2026-compliance/</guid><description>Publishers that blocked AI crawlers via robots.txt lost 23.1% of monthly traffic on average, and got only weakly correlated reductions in AI citation. The 2026 data inverts the case for blocking-as-defense.</description><pubDate>Tue, 02 Jun 2026 00:00:00 GMT</pubDate></item><item><title>Anubis at One Year: What Production Operators Are Actually Reporting</title><link>https://semiautonomous.systems/blog/anubis-at-one-year/</link><guid isPermaLink="true">https://semiautonomous.systems/blog/anubis-at-one-year/</guid><description>A year of public Anubis deployments yields concrete operator numbers, a Codeberg cautionary tale, and a project trajectory shift toward layered defenses. What the data says about proof-of-work anti-scraping.</description><pubDate>Mon, 01 Jun 2026 00:00:00 GMT</pubDate></item><item><title>AI Poisoning Threat Models: Backdoors, RAG, and Supply Chain</title><link>https://semiautonomous.systems/blog/threat-models-data-poisoning/</link><guid isPermaLink="true">https://semiautonomous.systems/blog/threat-models-data-poisoning/</guid><description>Backdoor attacks, model degradation, and RAG poisoning explained. Technical analysis of who can attack, defense costs, and power dynamics in AI training data.</description><pubDate>Tue, 26 May 2026 00:00:00 GMT</pubDate></item><item><title>How Much Does It Cost to Scrape the Web at Scale?</title><link>https://semiautonomous.systems/blog/scraping-economics-2026/</link><guid isPermaLink="true">https://semiautonomous.systems/blog/scraping-economics-2026/</guid><description>Bulk residential proxy pricing, Web Unlocker tiers, and headless browser farms put real per-page scraping costs at $0.001-$0.005, not the widely-quoted $0.01. AI training-data licensing deals show why the economics keep working for scrapers.</description><pubDate>Tue, 19 May 2026 00:00:00 GMT</pubDate></item><item><title>AIPREF After Toronto: What the IETF Decided in April</title><link>https://semiautonomous.systems/blog/aipref-after-toronto/</link><guid isPermaLink="true">https://semiautonomous.systems/blog/aipref-after-toronto/</guid><description>The IETF AIPREF working group reached consensus on AI training scope at its April 2026 Toronto interim, made progress on AI search wording, and deferred the contested AI input category. Status update on the standard.</description><pubDate>Tue, 12 May 2026 00:00:00 GMT</pubDate></item><item><title>Where AI Training Data Actually Comes From in 2026</title><link>https://semiautonomous.systems/blog/training-data-ecosystem-2026/</link><guid isPermaLink="true">https://semiautonomous.systems/blog/training-data-ecosystem-2026/</guid><description>A canonical reference for the six-layer AI training-data stack: Common Crawl, lab crawlers, curated open datasets, licensed feeds, contractor pipelines, and synthetic data. With the comprehensive licensing-deal table, current numbers, and what the labs do not disclose.</description><pubDate>Tue, 05 May 2026 00:00:00 GMT</pubDate></item><item><title>Defensive Data Poisoning: Ethics, Risks, and Alternatives</title><link>https://semiautonomous.systems/blog/defensive-poisoning-ethics/</link><guid isPermaLink="true">https://semiautonomous.systems/blog/defensive-poisoning-ethics/</guid><description>Analyzing ethical tradeoffs of defensive data poisoning: proportionality, collateral damage, and safer alternatives like proof-of-work and AIPREF standards.</description><pubDate>Tue, 28 Apr 2026 00:00:00 GMT</pubDate></item><item><title>Data Poisoning FAQ: Technical, Legal, and Policy Answers</title><link>https://semiautonomous.systems/blog/data-poisoning-faq/</link><guid isPermaLink="true">https://semiautonomous.systems/blog/data-poisoning-faq/</guid><description>Answers to common questions about data poisoning, web crawling, robots.txt, AIPREF, legal status, and enforcement mechanisms for AI training defense.</description><pubDate>Tue, 21 Apr 2026 00:00:00 GMT</pubDate></item><item><title>What Is Data Poisoning in Machine Learning?</title><link>https://semiautonomous.systems/blog/what-is-data-poisoning/</link><guid isPermaLink="true">https://semiautonomous.systems/blog/what-is-data-poisoning/</guid><description>Data poisoning manipulates AI training data to alter model behavior. Learn how defensive tools like Nightshade protect content from unauthorized AI training.</description><pubDate>Tue, 14 Apr 2026 00:00:00 GMT</pubDate></item><item><title>How AI Scraping Infrastructure Works: Proxies, Evasion, and Scale</title><link>https://semiautonomous.systems/blog/how-ai-scraping-infrastructure-works/</link><guid isPermaLink="true">https://semiautonomous.systems/blog/how-ai-scraping-infrastructure-works/</guid><description>Inside the technical infrastructure AI companies use to scrape the web: residential proxy networks, fingerprint emulation, CAPTCHA solving, and why traditional defenses fail.</description><pubDate>Tue, 07 Apr 2026 00:00:00 GMT</pubDate></item><item><title>Who Owns the Residential Proxy Industry That Feeds AI Scraping in 2026</title><link>https://semiautonomous.systems/blog/who-owns-residential-proxy-industry-2026/</link><guid isPermaLink="true">https://semiautonomous.systems/blog/who-owns-residential-proxy-industry-2026/</guid><description>A follow-the-ownership map of the residential proxy networks behind AI scraping: the Lithuanian and Israeli conglomerates that sell consumer privacy VPNs and the scraping infrastructure that drains publishers, plus why this structure breaks per-crawler defense.</description><pubDate>Mon, 30 Mar 2026 00:00:00 GMT</pubDate></item><item><title>Who Pays the Proof-of-Work Tax: The Accessibility Cost of Anti-Scraping Walls</title><link>https://semiautonomous.systems/blog/proof-of-work-accessibility-tax-2026/</link><guid isPermaLink="true">https://semiautonomous.systems/blog/proof-of-work-accessibility-tax-2026/</guid><description>Proof-of-work anti-scraping like Anubis is not a flat fee. It is a regressive tax: at difficulty 5, about 2 seconds on a flagship laptop, up to 2 minutes on an old phone, and a hard wall for non-JS and screen-reader users, while AI scrapers pay near zero.</description><pubDate>Mon, 16 Mar 2026 00:00:00 GMT</pubDate></item><item><title>The AI Crawler Compliance Crisis: Who Plays by the Rules?</title><link>https://semiautonomous.systems/blog/ai-crawler-compliance-crisis/</link><guid isPermaLink="true">https://semiautonomous.systems/blog/ai-crawler-compliance-crisis/</guid><description>AI crawler robots.txt compliance dropped from 96.7% to 70% in one year. Analysis of which crawlers comply, what it costs publishers, and what comes next.</description><pubDate>Mon, 02 Mar 2026 00:00:00 GMT</pubDate></item><item><title>Understanding AIPREF: The IETF Standard for AI Content Preferences</title><link>https://semiautonomous.systems/blog/understanding-aipref-ietf-standard/</link><guid isPermaLink="true">https://semiautonomous.systems/blog/understanding-aipref-ietf-standard/</guid><description>AIPREF extends robots.txt with standardized vocabulary for AI training preferences. How the IETF standard works, its syntax, and what it means for publishers.</description><pubDate>Sun, 01 Mar 2026 00:00:00 GMT</pubDate></item><item><title>Publisher Defenses Against AI Scraping: Cost Imposition vs Poisoning</title><link>https://semiautonomous.systems/blog/cost-imposition-vs-value-degradation/</link><guid isPermaLink="true">https://semiautonomous.systems/blog/cost-imposition-vs-value-degradation/</guid><description>Comparing defense strategies against AI scraping: proof-of-work systems impose costs, data poisoning degrades value. Who pays and what works for publishers.</description><pubDate>Tue, 24 Feb 2026 00:00:00 GMT</pubDate></item><item><title>How AI Data Laundering Uses Non-Profit Research to Shield Commercial Models</title><link>https://semiautonomous.systems/blog/ai-data-laundering-nonprofit-pipeline/</link><guid isPermaLink="true">https://semiautonomous.systems/blog/ai-data-laundering-nonprofit-pipeline/</guid><description>AI data laundering routes web-scraped content through academic and non-profit datasets so commercial labs can train on material they could not legally collect themselves. The mechanism, the LAION case, the 2025 Hamburg ruling, and why robots.txt cannot reach it.</description><pubDate>Wed, 18 Feb 2026 00:00:00 GMT</pubDate></item><item><title>Why VENOM Exists: From robots.txt to AI Data Enforcement</title><link>https://semiautonomous.systems/blog/why-venom-exists/</link><guid isPermaLink="true">https://semiautonomous.systems/blog/why-venom-exists/</guid><description>When robots.txt fails, enforcement mechanisms emerge. VENOM analyzes data poisoning, proof-of-work, and technical countermeasures for AI training governance.</description><pubDate>Thu, 05 Feb 2026 00:00:00 GMT</pubDate></item><item><title>The State of Defensive Data Poisoning in 2026: A Report</title><link>https://semiautonomous.systems/blog/state-of-data-poisoning-2026/</link><guid isPermaLink="true">https://semiautonomous.systems/blog/state-of-data-poisoning-2026/</guid><description>Comprehensive analysis of AI training data enforcement: robots.txt bypass data, tool effectiveness, legal developments, and the shift from signaling to enforcement.</description><pubDate>Tue, 03 Feb 2026 00:00:00 GMT</pubDate></item></channel></rss>