Intelligence too cheap to meter. This is the real deal. Composer 2.5 is an efficiency-beast
LLMS
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Performance and Efficiency Gains in New AI Coding Tool Release
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Huge, did NOT expect that release. Evals looks very solid, significant jump compared to composer 2! But: it’s 10x more efficient than the competition. Looks really exciting. Need to try it out
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Using AI as a Daily French Language Tutor
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1. Creador de lecciones diarias «Actúa como un profesor de francés. Crea una lección diaria de 20 minutos con vocabulario, gramática y ejercicios prácticos»
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Frustrations with AI detection and identifying AI-written text
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I broke my own rule to never post about AI detection as it is fraught in many ways. The problem is that if you use AI a lot, you know AI writing on sight, which makes the difficulty of objectively proving that AI use to others very frustrating
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Comparing GBrain, Hermes, and Karpathy’s Brain Architectures
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How does GBrain compare/contrast/complement things like Hermes/Karpathy's Brain?
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Complex AI agent workflows with ClaudeCode
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J’ai un Claude qui task des ClaudeCode avec des megabriefs de plus de 700 lignes parfois ça monte à 800 ou 900 lignes, il y a même des requêtes qui demandent des temps d’arrêts de 30 minutes pour laisser tourner afin de contrôler des comportements, les IA tournent des heures en
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GPU Memory Math for LLMs Explained
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First, GPU Memory Math for LLMs (or why it is not always about Memory Size)
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Managing social media with custom AI agents and multiple Claude instances
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Je suis en mode bypass avec Claude, et j’ai pas qu’un Claude j’ai 8 Claude, les autres s’appellent Claudius Claudine Claudette Claudio Klaudia Claudel Claudie pour les différencier et ça laisse pas beaucoup de temps pour Twitter j’ai un agent pour ça d’ailleurs, qui gère ma ligne
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Achieving SUPERHOT Design Style with Codex 5.5 and Prompt Tweaks
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With a few prompt tweaks/strategies, and a switch to Codex 5.5 instead of Opus 4.7, you can get MUCH closer to the SUPERHOT design style.
— Matt Shumer (@mattshumer_) 18 mai 2026
This was a one-shot output! https://t.co/jCaDRX25Ap pic.twitter.com/fIEP3eWi6iWith a few prompt tweaks/strategies, and a switch to Codex 5.5 instead of Opus 4.7, you can get MUCH closer to the SUPERHOT design style. This was a one-shot output!
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AI Agents Must Learn to Read the Room for Mass Adoption
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#AIAgents Won’t Reach Mass Adoption Until They Learn To Read The Room
by Shailesh Nalawadi @Forbes Learn more: https://
bit.ly/4uPzZ8v #LLM #GenerativeAI #ArtificialIntelligence #ML