Recursive self-improvement may no longer be just a theory.
Anthropic reports: 8x more code per engineer 76% success on open-ended coding tasks 52x training optimization Better research decisions than humans 64% of the time
The feedback loop is getting tighter.
#AI
SOFTWARE
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Anthropic reports 8x code, 52x optimization, and 64% better decisions
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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?
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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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Huawei electric powertrain and autonomous driving platform used by Chinese carmakers
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Huawei has developed an electric power train and autonomous driving platform that is being used by incumbent Chinese carmakers through new brands like AITO. The blue light tells you that the car is driving itself…
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Humorously reflecting on CLI flicker not solved before AGI
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Really thought we'd solve the CLI flicker before AGI. Was wrong.
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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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EverOS and Skill Automation Through Use
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5. Skill Automatic Accumulation EverOS extracts common skills from real usage patterns and consolidates repetitive behaviors into reusable workflows. I find this the most interesting layer of memory: it’s not about making the agent "remember more," but about teaching it how to perform tasks by learning from past experiences.