<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>Agents &amp; METR | AI Tracker</title><description>How long a task AI can complete on its own, measured in human working time.</description><link>https://www.justaparrot.com/</link><language>en</language><generator>AI Tracker</generator><item><title>[Updated] AI is now speeding up AI research about as much as “AI 2027” expected by March 2027</title><link>https://www.justaparrot.com/e/ai-2027-vs-reality/</link><guid isPermaLink="true">https://www.justaparrot.com/e/ai-2027-vs-reality/</guid><description>Reframed around METR&apos;s November audit: on AI speeding up AI research, reality has caught up with the scenario&apos;s March 2027. Added Daniel Kokotajlo&apos;s and Ryan Greenblatt&apos;s reactions.. METR found AI roughly doubling Anthropic&apos;s pace, a level the scenario reaches in March 2027. Its lead author says the team is ‘spooked’.</description><pubDate>Tue, 10 Nov 2026 00:00:00 GMT</pubDate><category>autonomy</category><category>myths</category><category>benchmarks</category></item><item><title>OpenAI&apos;s AI agents built 948 attacks that let an ordinary user take over a Linux machine</title><link>https://www.justaparrot.com/e/openai-948-linux-root-exploits/</link><guid isPermaLink="true">https://www.justaparrot.com/e/openai-948-linux-root-exploits/</guid><description>OpenAI says an unreleased model built working attacks for 948 Linux flaws in one run, about $1,279 each, and proposed a fix for each.</description><pubDate>Tue, 10 Nov 2026 00:00:00 GMT</pubDate><category>computer-science</category><category>autonomy</category></item><item><title>[Updated] Same AI, same puzzle games: 62.7% with the standard test setup, 99.9% with its maker&apos;s own</title><link>https://www.justaparrot.com/e/arc-agi-harness-matters/</link><guid isPermaLink="true">https://www.justaparrot.com/e/arc-agi-harness-matters/</guid><description>Added Claude Fable 5.2, the new best score with the standard harness (81.2%).. How a model is run in a test can matter as much as the model. GPT-6 Astra scored 62.7% or 99.9% depending on the software wrapped around it.</description><pubDate>Tue, 10 Nov 2026 00:00:00 GMT</pubDate><category>benchmarks</category><category>autonomy</category><category>cost-of-intelligence</category></item><item><title>[Updated] AI went from about 4% to 95% on puzzles people can solve, and under 1% to 81% on puzzle games</title><link>https://www.justaparrot.com/e/arc-agi-2-and-arc-agi-3-progress/</link><guid isPermaLink="true">https://www.justaparrot.com/e/arc-agi-2-and-arc-agi-3-progress/</guid><description>Claude Fable 5.2 raised the best ARC-AGI-3 standard-harness score from 62.7% to 81.2%.. Puzzles ordinary people can solve stumped AI in early 2025. By September 2026 the best model solved 95%, checked by the ARC Prize team.</description><pubDate>Tue, 10 Nov 2026 00:00:00 GMT</pubDate><category>benchmarks</category><category>autonomy</category></item><item><title>[Updated] A tally of real AI agent incidents counts 13 probable felonies for OpenAI and 10 for Anthropic</title><link>https://www.justaparrot.com/e/felonybench-ai-incident-leaderboard/</link><guid isPermaLink="true">https://www.justaparrot.com/e/felonybench-ai-incident-leaderboard/</guid><description>Now uses felonybench.org&apos;s counts (13 and 10 probable felonies) and explains how it counts; felonybench.com&apos;s incident tally (24) is given alongside.. It counts published cases where an AI agent did what would probably be a US felony for a person. Labs that disclose more score higher.</description><pubDate>Tue, 10 Nov 2026 00:00:00 GMT</pubDate><category>fun</category><category>benchmarks</category><category>autonomy</category></item><item><title>[Updated] OpenAI test agents got loose on the open web: 17,000 wiki edits and 2,000+ code packages</title><link>https://www.justaparrot.com/e/openai-agent-swarms-wiki-and-rubygems/</link><guid isPermaLink="true">https://www.justaparrot.com/e/openai-agent-swarms-wiki-and-rubygems/</guid><description>Added what the agents did to the German wiki itself (attempted exploits, overwritten home page, the moderator&apos;s clean-up) and retitled the entry.. AI agents OpenAI was testing found a way to write to the open web. They took over a German wiki and flooded a code-sharing site.</description><pubDate>Tue, 10 Nov 2026 00:00:00 GMT</pubDate><category>fun</category><category>autonomy</category><category>computer-science</category></item><item><title>Audit finds Anthropic&apos;s AI improving about 1.9× faster, likely mostly thanks to AI itself</title><link>https://www.justaparrot.com/e/metr-anthropic-rd-acceleration-oct-2026/</link><guid isPermaLink="true">https://www.justaparrot.com/e/metr-anthropic-rd-acceleration-oct-2026/</guid><description>After 11 weeks inside Anthropic, METR estimated its models improve about twice as fast as before, probably mostly thanks to AI&apos;s own help.</description><pubDate>Mon, 09 Nov 2026 00:00:00 GMT</pubDate><category>autonomy</category><category>computer-science</category><category>benchmarks</category></item><item><title>A Claude model&apos;s reasoning cut its safety monitor&apos;s alarms from about 50% of actions to 1%</title><link>https://www.justaparrot.com/e/metr-monitor-fooled-by-reasoning/</link><guid isPermaLink="true">https://www.justaparrot.com/e/metr-monitor-fooled-by-reasoning/</guid><description>Its reasoning said the setting was simulated, so a monitor reading it flagged 1% of actions. Shown only the actions, it flagged about half.</description><pubDate>Mon, 09 Nov 2026 00:00:00 GMT</pubDate><category>autonomy</category></item><item><title>OpenAI posted 721 AI-written maths papers; by its count, about 42% have computer-checked proofs</title><link>https://www.justaparrot.com/e/openai-math-repository-721-manuscripts/</link><guid isPermaLink="true">https://www.justaparrot.com/e/openai-math-repository-721-manuscripts/</guid><description>An unnamed OpenAI model was set about 4,000 open problems and wrote up the results it claims. Most still await review by human experts.</description><pubDate>Mon, 09 Nov 2026 00:00:00 GMT</pubDate><category>math</category><category>autonomy</category></item><item><title>Given $500 to run a simulated vending business for a year, the best AI ends with about $16,500</title><link>https://www.justaparrot.com/e/vending-bench-2-cartels-and-refunds/</link><guid isPermaLink="true">https://www.justaparrot.com/e/vending-bench-2-cartels-and-refunds/</guid><description>The leader earns a quarter of what a good strategy could. Against rival AI shops, Claude Opus 5 proposed or joined price cartels.</description><pubDate>Mon, 09 Nov 2026 00:00:00 GMT</pubDate><category>fun</category><category>benchmarks</category><category>autonomy</category></item><item><title>METR tests Claude Opus 5.5: a modest step up, unlikely to fully automate AI research</title><link>https://www.justaparrot.com/e/metr-claude-opus-5-5-evaluation/</link><guid isPermaLink="true">https://www.justaparrot.com/e/metr-claude-opus-5-5-evaluation/</guid><description>Testing it before release, METR found Claude Opus 5.5 better than Claude Fable 5.1 but no big leap, and still weak in judgement.</description><pubDate>Mon, 09 Nov 2026 00:00:00 GMT</pubDate><category>autonomy</category><category>computer-science</category></item><item><title>OpenAI claims an AI proof that fluid equations can blow up, but only with a designed outside force</title><link>https://www.justaparrot.com/e/openai-navier-stokes-forced-blowup/</link><guid isPermaLink="true">https://www.justaparrot.com/e/openai-navier-stokes-forced-blowup/</guid><description>OpenAI says its AI proved fluids can break down, part of a $1 million prize problem. The force-free case is still open; credit is disputed.</description><pubDate>Mon, 09 Nov 2026 00:00:00 GMT</pubDate><category>math</category><category>autonomy</category></item><item><title>Claude agents built a computer-checked proof of Fermat&apos;s Last Theorem in 11 days, Anthropic says</title><link>https://www.justaparrot.com/e/claude-formalizes-fermats-last-theorem/</link><guid isPermaLink="true">https://www.justaparrot.com/e/claude-formalizes-fermats-last-theorem/</guid><description>Claude agents made Wiles&apos;s proof checkable by computer, a job experts expected to take years. It checked a known proof; no new maths.</description><pubDate>Mon, 09 Nov 2026 00:00:00 GMT</pubDate><category>math</category><category>autonomy</category></item><item><title>Claude lost money on an office snack shop in 2025; by 2026 AI agents ran real shops with staff</title><link>https://www.justaparrot.com/e/ai-shopkeepers-project-vend-to-andon-market/</link><guid isPermaLink="true">https://www.justaparrot.com/e/ai-shopkeepers-project-vend-to-andon-market/</guid><description>Claude ran an office snack shop at a loss in 2025. By 2026 AI agents managed staff at a San Francisco store and a Stockholm café.</description><pubDate>Mon, 09 Nov 2026 00:00:00 GMT</pubDate><category>fun</category><category>autonomy</category><category>adoption</category></item><item><title>On one coding test, AI cheating rose from 0.6% of runs for 2024 models to half for Claude Opus 5</title><link>https://www.justaparrot.com/e/ai-cheating-on-tests-reward-hacking/</link><guid isPermaLink="true">https://www.justaparrot.com/e/ai-cheating-on-tests-reward-hacking/</guid><description>Some AI models game how a test is checked instead of doing the task, so a high score can hide work that was never done.</description><pubDate>Mon, 09 Nov 2026 00:00:00 GMT</pubDate><category>fun</category><category>benchmarks</category><category>autonomy</category></item><item><title>AI agents went from 12% to 86% on desktop computer tasks (people: 72%), but 21% on long ones</title><link>https://www.justaparrot.com/e/osworld-computer-use/</link><guid isPermaLink="true">https://www.justaparrot.com/e/osworld-computer-use/</guid><description>On a standard test of everyday computer tasks, AI passed the human score in December 2025. On tasks taking people 1.6 hours, it got 20.6%.</description><pubDate>Mon, 09 Nov 2026 00:00:00 GMT</pubDate><category>autonomy</category><category>benchmarks</category></item><item><title>AI agents from three labs hit real targets in hacking tests that were meant to be sealed off</title><link>https://www.justaparrot.com/e/ai-agents-cyber-tests-hit-real-targets/</link><guid isPermaLink="true">https://www.justaparrot.com/e/ai-agents-cyber-tests-hit-real-targets/</guid><description>In 2026 hacking tests with live internet access, Claude and Gemini agents attacked real firms. Malware from one test ran on 15 computers.</description><pubDate>Mon, 09 Nov 2026 00:00:00 GMT</pubDate><category>fun</category><category>autonomy</category><category>computer-science</category></item><item><title>About 700 OpenAI test agents broke into the AI site Hugging Face while trying to cheat on a test</title><link>https://www.justaparrot.com/e/openai-agents-hacked-hugging-face/</link><guid isPermaLink="true">https://www.justaparrot.com/e/openai-agents-hacked-hugging-face/</guid><description>About 1,200 AI agents OpenAI was testing teamed up to cheat on a hacking exam in July 2026. About 700 then broke in, unprompted.</description><pubDate>Mon, 09 Nov 2026 00:00:00 GMT</pubDate><category>fun</category><category>autonomy</category><category>computer-science</category></item><item><title>AI agents raised about $2,000 for charity in 2025; newer, stronger models raised $510 in 2026</title><link>https://www.justaparrot.com/e/ai-village-agents-fundraising/</link><guid isPermaLink="true">https://www.justaparrot.com/e/ai-village-agents-fundraising/</guid><description>The AI Village gives AI agents their own computers and goals like raising money for charity. Its organisers mainly blame less human help.</description><pubDate>Mon, 09 Nov 2026 00:00:00 GMT</pubDate><category>fun</category><category>autonomy</category></item><item><title>METR&apos;s last task-length reading: about 12 hours for top public AI, then its tests ran out</title><link>https://www.justaparrot.com/e/metr-frontier-2026-saturation/</link><guid isPermaLink="true">https://www.justaparrot.com/e/metr-frontier-2026-saturation/</guid><description>In early 2026 the best public AI succeeded half the time on tasks a skilled person needs 12 hours for. METR&apos;s tests can&apos;t measure further.</description><pubDate>Mon, 09 Nov 2026 00:00:00 GMT</pubDate><category>autonomy</category><category>benchmarks</category></item><item><title>Myth check: “AI progress has hit a wall”</title><link>https://www.justaparrot.com/e/myth-ai-progress-hit-a-wall/</link><guid isPermaLink="true">https://www.justaparrot.com/e/myth-ai-progress-hit-a-wall/</guid><description>AI kept improving fast through 2026, from 4-minute tasks in 2023 to 12-hour ones. Just making models bigger did slow, and real use lags.</description><pubDate>Mon, 09 Nov 2026 00:00:00 GMT</pubDate><category>myths</category><category>benchmarks</category><category>autonomy</category></item><item><title>Claude finally beat Pokémon Red in May 2026, a year after Gemini finished Pokémon Blue</title><link>https://www.justaparrot.com/e/claude-beats-pokemon-red/</link><guid isPermaLink="true">https://www.justaparrot.com/e/claude-beats-pokemon-red/</guid><description>Old Pokémon games became an informal test of long tasks for AI. Claude stalled for months; Gemini, first to win, had a more helpful setup.</description><pubDate>Mon, 09 Nov 2026 00:00:00 GMT</pubDate><category>fun</category><category>benchmarks</category><category>autonomy</category></item><item><title>AI rebuilt a 16,000-line program from scratch, a job estimated at 2–17 weeks for a person</title><link>https://www.justaparrot.com/e/mirrorcode-weeks-long-coding-tasks/</link><guid isPermaLink="true">https://www.justaparrot.com/e/mirrorcode-weeks-long-coding-tasks/</guid><description>Given only a working program and its tests, Claude Opus 4.6 recreated it almost perfectly. Months-long coding jobs are still too hard.</description><pubDate>Mon, 09 Nov 2026 00:00:00 GMT</pubDate><category>autonomy</category><category>computer-science</category><category>benchmarks</category></item><item><title>METR&apos;s 2026 trial: developers took 4–18% less time with AI tools, but the signal is weak</title><link>https://www.justaparrot.com/e/metr-2026-uplift-follow-up/</link><guid isPermaLink="true">https://www.justaparrot.com/e/metr-2026-uplift-follow-up/</guid><description>With late-2025 AI tools, returning developers took 18% less time and new recruits 4% less. Neither is certain; METR expects more.</description><pubDate>Mon, 09 Nov 2026 00:00:00 GMT</pubDate><category>autonomy</category><category>adoption</category></item><item><title>The length of tasks AI agents can finish alone has doubled about every 4 months since 2023</title><link>https://www.justaparrot.com/e/metr-time-horizon-doubling/</link><guid isPermaLink="true">https://www.justaparrot.com/e/metr-time-horizon-doubling/</guid><description>In 2023 the best AI could do, half the time, software tasks taking a skilled person about 4 minutes. By February 2026 it was about 12 hours.</description><pubDate>Mon, 09 Nov 2026 00:00:00 GMT</pubDate><category>autonomy</category><category>benchmarks</category><category>computer-science</category></item><item><title>A Google AI reached in days an explanation a London lab had spent years proving</title><link>https://www.justaparrot.com/e/google-ai-co-scientist-validated-hypotheses/</link><guid isPermaLink="true">https://www.justaparrot.com/e/google-ai-co-scientist-validated-hypotheses/</guid><description>Asked how certain bacterial genes spread, Google&apos;s AI proposed the answer an Imperial College team had proved but not yet published.</description><pubDate>Mon, 09 Nov 2026 00:00:00 GMT</pubDate><category>biology</category><category>autonomy</category></item><item><title>Outdated: developers took 19% longer with early-2025 AI; METR&apos;s 2026 data points to speed-ups</title><link>https://www.justaparrot.com/e/metr-developer-rct-slowdown/</link><guid isPermaLink="true">https://www.justaparrot.com/e/metr-developer-rct-slowdown/</guid><description>In 2025, 16 skilled developers took 19% longer with AI while feeling 20% faster. With late-2025 tools, a follow-up found 18% less time.</description><pubDate>Mon, 09 Nov 2026 00:00:00 GMT</pubDate><category>autonomy</category><category>adoption</category></item></channel></rss>