A coding agent gets stuck in a retry loop during the night. By morning, it has made 10,000 LLM calls. You now have a four-digit bill. Observability tells you what happened, but stopping these problems before they
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68% of AI code contains errors, No-mistakes stops them
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EL MEME DE “CLAUDE, MAKE NO MISTAKES” SE HIZO REALIDAD.
— Nico (@nicos_ai) 8 juin 2026
El 68% del código que genera la IA tiene errores, según las stats reales del creador de esta Skill.
No-mistakes los para antes de que lleguen a producción.
Cómo funciona:
→ git push no-mistakes en vez de git push origin… pic.twitter.com/LzT5XYPFftThe meme of 'Claude, don't make mistakes' has become reality.
68% of AI-generated code contains errors, according to the real stats from the creator of this Skill.
No-mistakes stops them before they reach production.
How it works:
→ git push no-mistakes au -
Learning Path for LLM Serving Engines: vLLM, SGLang, TensorRT-LLM
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How to go about learning all of this? 1st: Start with the serving engine view – vLLM: PagedAttention, continuous batching, prefix caching, CUDA graphs – SGLang: RadixAttention/prefix reuse, speculative decoding, MoE, structured/agent workloads – TensorRT-LLM: NVIDIA peak
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AI Referees in Beach Volleyball: Enhancing Game or Changing Its Soul?
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#AI Referees the Sand: Real-Time Beach Volleyball Analysis — Enhancing the Game or Changing Its Soul?
— Ronald van Loon (@Ronald_vanLoon) 8 juin 2026
by @measure_plan#ArtificialIntelligence #MachineLearning #ML pic.twitter.com/rlLWq2ZKgc#AI Referees the Sand: Real-Time Beach Volleyball Analysis — Enhancing the Game or Changing Its Soul?
by @measure_plan #ArtificialIntelligence #MachineLearning #ML -
Unifying Codex, agents, and chat boosts value for users and valuation
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Folding Codex, agents, and chat into one app makes sense for users and even more sense for the valuation.
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Command /usage shows breakdown of skills, MCPs, plugins
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Run /usage to see a breakdown of specific skills, MCPs, and plugins that use your tokens.
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Meta launches AI Agent for WhatsApp Business globally
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Meta’s #AIAgent for WhatsApp #Business is now available globally
by Ivan Mehta @TechCrunch Learn more: https://
bit.ly/4vsMQh8 #GenerativeAI #ArtificialIntelligence #MachineLearning #ML -
From C to Theano: The Evolution of Neural Network Frameworks
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I wrote my first neural networks in pure C, then in Matlab, then in NumPy, before eventually moving to Theano. Since then, I have seen and tried practically every neural network framework ever developed. Some are bad, some are good. The good
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Simply say what you want, the model invokes the skills
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They are not designed for people to invoke them, although you can do so if you wish. Simply tell the model what you want to happen, and it will do the work to invoke the right skills for you.