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Polski(PL) Koniec mitu niebezpiecznego AI? Model Mythos poległ na kodzie Curla Wokół najnowszych modeli sztucznej inteligencji często buduje się aurę tajemniczości i grozy

Anthropic's Mythos AI fails to find critical bugs in curl code

Anthropic's Mythos AI model, marketed as too dangerous for public release, was tested by Daniel Stenberg, the creator of curl, on his project's codebase. The AI identified five potential vulnerabilities, but upon review, three were false positives, one was a minor bug, and only one was a low-risk security flaw. This experiment highlights that while AI can assist in cybersecurity, it currently cannot replace human expertise in identifying critical threats. AI

IMPACT Demonstrates AI's current limitations in cybersecurity, emphasizing the need for human oversight rather than full automation.

RANK_REASON The cluster reports on an experiment evaluating an AI model's performance on a specific task, which falls under research.

Read on Mastodon — fosstodon.org →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

Anthropic's Mythos AI fails to find critical bugs in curl code

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Research
The cluster reports on an experiment evaluating an AI model's performance on a specific task, which falls under research.
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2 independent sources
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safety, product
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High
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137 days old
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COVERAGE [2]

  1. Mastodon — fosstodon.org TIER_1 Polski(PL) · [email protected] ·

    End of the dangerous AI myth? Mythos model failed on Curl code The aura of mystery and dread is often built around the latest artificial intelligence models

    Koniec mitu niebezpiecznego AI? Model Mythos poległ na kodzie Curla Wokół najnowszych modeli sztucznej inteligencji często buduje się aurę tajemniczości i grozy. Twórcy z firmy Anthropic reklamowali swój nowy model Mythos jako technologię „zbyt niebezpieczną, aby udostępnić ją pu…

  2. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    Lots of truth here. Mythos myths and realities. # MLsec # ML # AI # security # swsec # appsec https://www. theregister.com/security/2026/ 05/11/anthropics-bug-h

    Lots of truth here. Mythos myths and realities. # MLsec # ML # AI # security # swsec # appsec https://www. theregister.com/security/2026/ 05/11/anthropics-bug-hunting-mythos-was-greatest-marketing-stunt-ever-says-curl-creator/5238111