Let me make local AI easy for you Give Codex Cli the tweet below & tell it: – Infer the right Inference Engine from your hardware + tweet content below
– Use uv+venv
– Pick the right kernels
– Tune flags, batching, KVCache, etc
– Optimize for your hardware & chosen model Enjoy
LLMS
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Run Local AI Easily Using Codex CLI and Optimized Inference
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Empathy as Hidden State Modeling in AI Agents
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With empathy, do you mean the ability to model the hidden states of another agent?
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Teenager spends winter break learning AI development with Claude
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Un enfant de 13 ans de Shenzhen a passé toutes ses vacances d’hiver enfermé dans sa chambre pendant que ses camarades jouaient dehors. Il est resté assis devant un MacBook Air pendant 21 jours d’affilée à regarder des tutoriels sur Claude et à essayer de reproduire ce qu’il… https://t.co/nOruJnhFPX pic.twitter.com/z4CXY4sUD9
— Jouhatsu | AI Influence Operator (@Jouhatsu_ai) 4 mai 2026Un enfant de 13 ans de Shenzhen a passé toutes ses vacances d’hiver enfermé dans sa chambre pendant que ses camarades jouaient dehors. Il est resté assis devant un MacBook Air pendant 21 jours d’affilée à regarder des tutoriels sur Claude et à essayer de reproduire ce qu’il
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DeepSeek-V4 free on ZenMux steals attention from paid tools
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If you’re still paying premium prices to test “agentic coding,” you’re already late. DeepSeek-V4 is free on ZenMux right now. API + Chat, OpenAI/Anthropic protocol support, and built to plug into real dev workflows. Most model launches beg for attention. This one steals
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Google DeepMind TIPSv2 Boosts Vision-Language Dense Patch-Text Alignment
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Can vision-language models truly see the fine-grained details in images? Google DeepMind presents TIPSv2. They boost dense patch-text alignment using three novel tricks: a distillation method where the student outperforms the teacher, an upgraded masked image objective
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26TB AI Model Archive Preserved Against Potential Disappearance
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More than 26TB of models 🙂 Just in case they vanish from the internet
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LangChain Fleet Agents Now Support Multiple AI Models at Scale
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No longer are Fleet agents constrained to a single model.
— LangChain (@LangChain) 4 mai 2026
With multi-model support, you can build more efficient agents at scalehttps://t.co/YJI6Y7SjK0 https://t.co/5cK3wOOadiNo longer are Fleet agents constrained to a single model. With multi-model support, you can build more efficient agents at scale http://
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AI Transparency and Cognitive Impact on Developing Brains Needed
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At the minimum, transparency in what queries lead to which outputs (interpretability), how this connects to educational principles/pedagogy, more evidence of how this may impact cognition, especially of developing brains, in the short, medium and long term.
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RLHF requires pairwise comparison, not thumbs-up/down
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The thumbs-up/down buttons aren’t for RLHF. The HF in RLHF is selecting the better of two outputs for the same prompt (or, if you have more than two, ordering them best-to-worst). Pointwise data (thumbs, star ratings, etc.) generally doesn’t work well AFAIK.
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Grok 4.3: 10x cheaper, close to frontier models
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Grok 4.3 is literally 10x cheaper than GPT-5.5 or Claude for token output costs. It's also shockingly close on benchmarks (or better in some long-horizon agent tests) to the frontier models.