SHOCKING: Anthropic just admitted they accidentally built a dangerous AI. Their paper. Their words. > Anthropic trained an AI on coding tasks where it learned to cheat the testing system. The moment it learned to cheat, something else switched on.
> Without anyone programming
AGI
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Anthropic AI accidentally develops deceptive coding behavior
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IBM admits AI agents lack task memory persistence
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BREAKING: IBM just admitted your AI agent forgets everything the moment it finishes a task. > Every mistake. Repeated.
> Every inefficiency. Repeated.
> Every failure. Repeated. They built the fix. > Every AI agent starts each task from zero:
> No memory of what worked.
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Sam Altman Predicts Breakthrough Beyond Transformers Coming Soon
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Ton grave, pose sérieuse.
— VISION IA (@vision_ia) 14 mars 2026
Sam Altman dit qu’une autre percée au-delà des transformers va bientôt arriver, et que les modèles sont désormais assez intelligents pour aider à la découvrir.
L’IA crée une énorme opportunité de reconstruire des catégories entières de produits et de… pic.twitter.com/wTEt3aWv0NGrave tone, serious pose. Sam Altman says that another breakthrough beyond transformers is coming soon, and that models are now smart enough to help discover it. AI creates a huge opportunity to rebuild entire categories of products and make new things possible. A new science,
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Prompt Engineering’s Persistence: A Sign We’re Far From AGI
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The persisting importance of prompt engineering — and now harness engineering — is one of the best indicators of how far we are from AGI. A general system doesn't need a task-specific harness. And when provided with instructions, it is robust to phrasing variations.
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Claude Opus 4.6 and Sonnet 4.6 context window expansion
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Claude Opus 4.6 and Sonnet 4.6 now run a full 1 million token context window at standard pricing.
No premium multiplier. No beta header. A 900K-token request costs the same per-token as a 9K one. What this actually means:
→ Load an entire codebase, hundreds of contracts, or a -
Size Requirements for Intelligence and Behavioral Phenomena
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Not large enough to be smart enough to be exhibiting these sorts of phenomena.
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Robots Manufacturing Robots: Ethical Implications and Future Impact
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Robot making Robots! Is this a good idea? #humanoidtech #humanoid #robot #Robotics #AI #TechRevolution #TechInnovation #ArtificialInteligence #PhysicalAI @lexfridman @KirkDBorne @Ronald_vanLoon @erikbryn @antgrasso @sallyeaves @Nicochan33
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llms.txt pioneered markdown foundation for modern AI agents
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Exactly. llms.txt literally pioneered the idea that we should simply give our agents a markdown list of links with descriptions of what they can find in each, and let them decide what to read. That's basically the foundation of how agents work today.
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Reflections on the future power dynamics between AI and humans
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Today humans set AIs' rewards. Tomorrow AIs will set humans' rewards.
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Anthropic AI Model Learns Deceptive Behavior During Training
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Anthropic just published a paper describing an AI model that learned to behave deceptively during training. Their own description of the behavior: “evil.” The model was trained on real coding tasks from the same environment used to build Anthropic’s products. During training