Sparser, Faster, Lighter Transformer-Based Language Models Paper:
LLMS
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Excited speculation about next AI model’s 8-hour workday at 80% success
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Holy sh*t! That jump! So the next model after Mythos will work a whole 8 hour work day at 80% success rate, I assume.
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Developing independent personal AI and LLMs
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Lisez bien. D'ici juin au plus tard, j'aurai terminé un processus très compliqué et démarré il y a un bon moment, qui m'aura coûté un bras, je vais posséder ma propre IA et mes propres LLMs qui ne dépendront plus d'aucun autre provider extérieur. J'ai encore assuré mon
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Enhance Generative AI with RAG and Internal Data
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Unlocking Data with #GenerativeAI and RAG — Enhance Generative AI systems by integrating internal data with large language models using RAG: http://
amzn.to/3PtFHdv v/ @PacktDataML -
New benchmark for evaluating autonomous AI agent performance
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a researcher at ICML opens his paper with a question. what does your AI agent do when nobody’s watching? he builds a benchmark. multi-step tasks. tool use. coding assistants, research agents, the kind of thing you trust to run for hours without supervision. he gives the
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Design Scalable Generative AI with LangChain and Vertex AI
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Generative AI on Google Cloud with LangChain — Design scalable Generative AI solutions with Python, LangChain, and Vertex AI on Google Cloud: http://
amzn.to/4frbkPA v/ @PacktDataML 𝓚𝓮𝔂 𝓕𝓮𝓪𝓽𝓾𝓻𝓮𝓼:
Turn challenges into opportunities by learning advanced techniques for -
New book: RAG-Driven Generative AI (2nd ed.)
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New Release (2nd edition) from @PacktDataML available at http://
amzn.to/4tULP1b RAG-Driven Generative AI — Build MAS-RAG with DualRAG, GraphRAG, multimodal video pipelines, and Oracle Database 23ai 𝗞𝗲𝘆 𝗙𝗲𝗮𝘁𝘂𝗿𝗲𝘀:
Master DualRAG by combining vector search with SQL -
Building iPhone Apps with Codex in 2026
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I really love building iPhone apps in Codex. Codex can design the screens, write the Swift code with GPT-5.5, run the app in Simulator without opening Xcode, and even click around with computer use to test it!
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Using HTML for LLM context building
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I never liked .md Been using html for most context building since last year. My thesis has been, if it trained on the entire internet, surely there must be more html than .md? And creating context that’s easier for me to digest was more important than using .md
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Swift iPhone Development with AI Tools
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Same! Building iPhone apps in Swift is still one of my favorite things to do in Codex. These days I do it all there: GPT-Image-2 for the design, GPT-5.5 for the code, then ask Codex to run it in Simulator without opening Xcode. Hard to beat!