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Multi-source AI news clustered, deduplicated, and scored 0–100 across authority, cluster strength, headline signal, and time decay.

  1. RESEARCH · Mastodon — fosstodon.org Polski(PL) · · [2 sources]

    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

    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

    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

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

  2. COMMENTARY · Mastodon — mastodon.social English(EN) · · [2 sources]

    Daniel Stenberg ( @ bagder ) from curl provides important security advice for FOSS maintainers: ‘Any project that has not scanned their source code with AI powe

    Daniel Stenberg, the creator of the widely-used command-line tool cURL, is urging open-source maintainers to adopt AI-powered code analysis tools. He emphasizes that without such AI scanning, projects are likely to harbor numerous flaws and vulnerabilities that adversaries can exploit. Stenberg highlights that not utilizing these new AI tools leaves projects exposed to attackers who will inevitably find these undiscovered issues. AI

    Daniel Stenberg ( @ bagder ) from curl provides important security advice for FOSS maintainers: ‘Any project that has not scanned their source code with AI powe

    IMPACT Advises open-source projects to leverage AI for security, potentially reducing vulnerabilities and improving software integrity.