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@logangraham
Head of the Frontier Red Team @anthropicai. 🌎 Make things radically good.
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His early-access testing favored one agent for coding projects, but clear goals and human oversight still mattered.
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The dataset's creators say voters mostly want basic information, while models differ widely in whether they recommend candidates.
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The Washington Post reports the researchers used AI agents to access Slack channels discussing Anthropic’s most sensitive models.
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Anthropic says the proofs target RISC-V binaries under modeled Linux conditions, for inputs under 64 MB.
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Two posts point to security incidents and urge AI-assisted defenses; one specifically calls for faster vulnerability detection and patching.
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A user argues that improving security needn't mean fixing bugs or porting code to Rust.
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A post says the updates come from the team behind one of its author's open-source support initiatives.
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On October 16, the speaker said they would go live shortly and might touch on other topics.
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A post sharing Anthropic research urges attention to capability thresholds, not just steady climbs in AI ability.
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Anthropic says its OSS Scanner will periodically check opted-in open-source projects for vulnerabilities at no cost.
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One person asks whether bugs they found and fixed partly explain the situation. The other says it’s much better for “it” to come out now than six months ago, though the headlines were probably a bit extreme even then.
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Logan Graham welcomes Hawkes to Anthropic and says he will lead the next step of its cybersecurity mission.
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CNBC reports the accord calls for internal monitoring, outside assessments and board oversight; Trump called it “morally binding.”
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The site advertises free answers from official sources without an account. It cannot currently see submitted applications; broader services are planned for 2027.
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Another user agrees and calls for more research into the emergent properties of agentic ecosystems, a topic they say they plan to explore with the Kardashev AI nonprofit.
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A post says State of AI is undergoing pre-release testing ahead of the October 8 launch and invites people to join meetups in both cities.
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WSJ reports that Red Queen Bio is working to design the drugs before future AI systems might create such pathogens. Someone involved in the work says it also requires extensive wet-lab work.
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The post says strict nondisclosure agreements keep many evaluators from discussing their work publicly, even as they contribute to AI system and model documentation.
