Most health apps prescribe rigid plans. Bloom, an LLM-based health coaching app created by @Stanford researchers, applies evidence-based coaching methods. A promising demonstration of human-centered AI: https://
hai.stanford.edu/news/an-ai-hea
lth-coach-could-change-your-mindset
…
LLMS
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Bloom: Stanford’s LLM-Based AI Health Coaching App
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Llamacpp: The Future of Local, Free, and Secure AI
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llamacpp is the future of AI (local + free + fast + secure + powerful)!
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Agentic AI Stack: From Answers to Autonomous Outcomes
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Agentic AI = a stack, not a feature. LLMs (core intelligence) Agents (planning, memory, tool use) Multi-agent systems (coordination, routing, RAG) Infrastructure (security, logging, retries, cost control) This is how AI moves from answers → autonomous outcomes.
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Anthropic LLM Honesty Constraints Frustrate User Interaction
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This is probably the most frustrating (repeated) interaction I've had with LLMs ever since ChatGPT. I truly hope Anthropic still scan for "ffs, F**KING" to work on these as a priority. I've never thought I'd say that, but, in this case, I hate "honesty", it seems. I run the
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Complete 4-Hour Claude Course Guide
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🚨CURSO COMPLETO DE CLAUDE DE 4 HORAS🚨
— SONIA (@S0N_IA_) 27 avril 2026
Esta guia es la más detallada de Claude que he visto
-Construye herramientas
-Automatiza el trabajo
-Aprende cómo las personas construyen bots y sistemas
guárdatelo te será muy útil… pic.twitter.com/rRsUyin5ijCOMPLETE 4-HOUR CLAUDE COURSE This guide is the most detailed one on Claude that I've seen -Builds tools
-Automates work
-Learn how people build bots and systems save it, it'll be very useful to you… -
Open-source Claude Code skill removes AI-generated writing traces
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With this tool, no one will detect that your text was written by an AI. This Claude Code skill automatically detects and removes the most typical patterns of AI-generated writing. It's Open Source. 100% Free. Link below
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Correcting User Misconceptions About LLM Behavior
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that said, another tweet by the same user does correctly assess what’s wrong with most user’s model of what LLMs say.
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AI Agents Token Costs: Systematic Study on SWE-bench
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How do AI Agents spend your money? Most teams treat agent token costs as a rounding error even though the data says they shouldn't. New paper presents the first systematic study of how agents actually spend money on coding tasks. They ran 8 frontier LLMs on SWE-bench Verified
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LeCun criticism debate: LLM limitations and AI community tensions
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And LeCun doesn’t? I sometimes come off as aggressive because he was so hostile to me for saying that LLMs have limits, back in 2019… Bye now.