<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>Computer science | AI Tracker</title><description>Software engineering, competitive programming and new algorithms.</description><link>https://www.justaparrot.com/</link><language>en</language><generator>AI Tracker</generator><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] 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>OpenAI says its AI disproved a core assumption of computer science; experts are reviewing it</title><link>https://www.justaparrot.com/e/eth-refutation-claim/</link><guid isPermaLink="true">https://www.justaparrot.com/e/eth-refutation-claim/</guid><description>OpenAI claims an AI-found algorithm refutes the Exponential Time Hypothesis, with a checked proof. The idea&apos;s originators are reviewing it.</description><pubDate>Mon, 09 Nov 2026 00:00:00 GMT</pubDate><category>math</category><category>computer-science</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&apos;s unreleased Astra AI produced 10 research results, each with a computer-checked proof</title><link>https://www.justaparrot.com/e/openai-ten-advances-astra/</link><guid isPermaLink="true">https://www.justaparrot.com/e/openai-ten-advances-astra/</guid><description>The 10 results include three Erdős problems, and anyone can re-check the proofs by computer. OpenAI reported only its successes.</description><pubDate>Mon, 09 Nov 2026 00:00:00 GMT</pubDate><category>math</category><category>computer-science</category><category>cost-of-intelligence</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 outscored the best humans at two world coding contests in 2026, a year after falling short</title><link>https://www.justaparrot.com/e/competitive-programming-2026-ai-beats-humans/</link><guid isPermaLink="true">https://www.justaparrot.com/e/competitive-programming-2026-ai-beats-humans/</guid><description>At AtCoder&apos;s world finals and the International Olympiad in Informatics, AI scored above every human in 2026. Both runs were unofficial.</description><pubDate>Mon, 09 Nov 2026 00:00:00 GMT</pubDate><category>computer-science</category><category>benchmarks</category></item><item><title>Google says AI writes 75% of its new code; independent studies find much lower shares</title><link>https://www.justaparrot.com/e/ai-share-of-new-code/</link><guid isPermaLink="true">https://www.justaparrot.com/e/ai-share-of-new-code/</guid><description>Google&apos;s 75% counts AI-suggested code that engineers approved. Independent studies, using stricter definitions, find much lower shares.</description><pubDate>Mon, 09 Nov 2026 00:00:00 GMT</pubDate><category>computer-science</category><category>adoption</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>AI rose from 31% to 83.5% on fixing real code bugs, then OpenAI dropped the test as flawed</title><link>https://www.justaparrot.com/e/swe-bench-verified-saturation/</link><guid isPermaLink="true">https://www.justaparrot.com/e/swe-bench-verified-saturation/</guid><description>Built from real bug reports, SWE-bench Verified was a standard coding test. OpenAI dropped it in 2026 over broken tests and memorised fixes.</description><pubDate>Mon, 09 Nov 2026 00:00:00 GMT</pubDate><category>computer-science</category><category>benchmarks</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>Myth check: “AI can&apos;t even count the r&apos;s in strawberry, so it can&apos;t reason”</title><link>https://www.justaparrot.com/e/myth-ai-cant-count-letters/</link><guid isPermaLink="true">https://www.justaparrot.com/e/myth-ai-cant-count-letters/</guid><description>AI reads words in chunks, not letters, so counting letters is genuinely hard for it. It&apos;s a spelling blind spot, not proof it can&apos;t reason.</description><pubDate>Mon, 09 Nov 2026 00:00:00 GMT</pubDate><category>myths</category><category>computer-science</category></item><item><title>OpenAI&apos;s AI solved all 12 problems at the top university coding contest; the best team solved 11</title><link>https://www.justaparrot.com/e/icpc-world-finals-2025/</link><guid isPermaLink="true">https://www.justaparrot.com/e/icpc-world-finals-2025/</guid><description>At the 2025 ICPC World Finals, Google&apos;s Gemini also solved 10 of 12, including one that none of the 139 university teams solved.</description><pubDate>Mon, 09 Nov 2026 00:00:00 GMT</pubDate><category>computer-science</category><category>benchmarks</category></item><item><title>A Google AI beat a 56-year-old maths record and freed up 0.7% of Google&apos;s computing power</title><link>https://www.justaparrot.com/e/alphaevolve-algorithm-discovery/</link><guid isPermaLink="true">https://www.justaparrot.com/e/alphaevolve-algorithm-discovery/</guid><description>AlphaEvolve multiplies 4×4 grids of complex numbers in 48 steps, not 49, and beat the best known answer on about 20% of 50+ open problems.</description><pubDate>Mon, 09 Nov 2026 00:00:00 GMT</pubDate><category>math</category><category>computer-science</category></item><item><title>Myth check: “AI is just autocomplete, a stochastic parrot”</title><link>https://www.justaparrot.com/e/myth-llms-just-autocomplete/</link><guid isPermaLink="true">https://www.justaparrot.com/e/myth-llms-just-autocomplete/</guid><description>AI is trained to predict the next word, but studies of its insides show it plans ahead and reasons in steps. Its explanations can mislead.</description><pubDate>Mon, 09 Nov 2026 00:00:00 GMT</pubDate><category>myths</category><category>computer-science</category></item><item><title>Myth check: “Model collapse from AI-generated data will end AI progress”</title><link>https://www.justaparrot.com/e/myth-model-collapse/</link><guid isPermaLink="true">https://www.justaparrot.com/e/myth-model-collapse/</guid><description>Models do get worse if trained only on their own output, again and again. Keeping real data in the mix avoids it, and AI kept improving.</description><pubDate>Mon, 09 Nov 2026 00:00:00 GMT</pubDate><category>myths</category><category>computer-science</category></item></channel></rss>