LLMs show a “highly unreliable” capacity to describe their own internal processes
arstechnica.com·3d·
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The Curved Spacetime of Transformer Architectures
arxiv.org·18h·
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Show HN: Yansu, Serious Coding
twitter.com·1d·
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Google's MCP Toolbox for Databases: A Technical Deep Dive for Engineering Teams
agnost.ai·1h·
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The Work of AI, Ourselves
oliverbatemandoesthework.substack.com·2d·
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Why Alpha Arena was a bad benchmark
borisagain.substack.com·1d·
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Nubank announces a new hybrid model for 2026
international.nubank.com.br·58m·
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My excellent Conversation with Sam Altman
marginalrevolution.com·1d·
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Help with AI Fatigue
news.ycombinator.com·5h·
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Coding on Paper
thepalindrome.org·8h·
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Experts find flaws in hundreds of tests that check AI safety and effectiveness
theguardian.com·2d·
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Cursor's Composer-1 vs. Windsurf's SWE-1.5: The Rise of Vertical Coding Models
inkeep.com·2d·
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The Learning Loop and LLMs
martinfowler.com·2d·
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Thoughts by a non-economist on AI and economics
windowsontheory.org·2d·
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GTIG AI Threat Tracker: Advances in Threat Actor Usage of AI Tools
cloud.google.com·1d·
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From vibe coding to context engineering: 2025 in software development
technologyreview.com·1d·
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Reasoning with Sampling: Your Base Model Is Smarter Than You Think
aakaran.github.io·5h·
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30% of workers have put sensitive company data into ChatGPT
sweep.io·1d·
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Open Source Context-Aware PII Classifier
corp.roblox.com·2d·
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Improving Structured Outputs in the Gemini API
blog.google·1d·
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