
DeepSeek has encountered a bug that is both strange and concerning.

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DeepSeek has encountered a bug that is both strange and concerning.
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https://
open.substack.com/pub/garymarcus
/p/misplaced-panic-over-ai-progress?r=8tdk6&utm_medium=ios
…
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Ten of ten on this (and similar tasks) should be a lower bound: https://
garymarcus.substack.com/p/where-will-a
i-be-at-the-end-of-2027
…

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It is unethical for a doctor not to consult an AI! A new study published in Science shows OpenAI's o1 model (not 5.5, but the over 1 year old o1!) outperformed ER physicians at diagnosing patients, identifying the correct or near-correct diagnosis 67% of the time versus 50–55%
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2- What the Amazon Bedrock × Anthropic integration means Amazon Bedrock = AWS's AI model manager Access to the entire Claude family (including the latest models) via a unified API
Built-in safety guardrails by default
Enterprise-level security without compromise

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http://
QUEBEC.AI dévoile "Sécurité & Gouvernance" — haute sécurité, haute gouvernance, contrôle souverain de l’IA. Introducing "Security & Governance": high-security, high-governance foundations for the frontier, AI‑First enterprise. https://
quebecartificialintelligence.com/security-gover
nance
… #QuebecAI

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http://
QUEBEC.AI dévoile Sécurité & Gouvernance — haute sécurité, haute gouvernance, contrôle souverain de l’IA. Introducing Security & Governance: high-security, high-governance foundations for the frontier, AI‑First enterprise. https://
quebecartificialintelligence.com/security-gover
nance
… #QuebecAI

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Hot take on METR’s new graph that so many people are flipping about today. • Claude Code is a real advance; Mythos probably builds on some of what is learned there. But… • If you read the graph carefully, it is about achieving *50%* success. Not 100 or 99 or even 90. The
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Without a trace of irony, at all: one of the most important strategic decisions for every publication, think tank, and etc is “What decisions are we taking today to influence future training runs and inference sessions?”

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I recorded a 1-hour webinar on AI Engineering Foundations, covering what AI engineers actually need to know today: how LLMs work, their limitations, when to use prompting, RAG, workflows, or agents, and why evaluations and security matter before production. It's free. Check it