Nah, I switched to codex in October.
AI
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Analytical Skills for AI and Data Science Enterprise Development
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Analytical Skills for AI and Data Science — Building Skills for an AI-Driven Enterprise: https://
amzn.to/4b6fufu
…helps practitioners to create value from AI and data science using an analytical skillset — each chapter illustrates how each skill works across a collection of use -

Hands-On Mathematical Optimization with Python: Key Ingredients and Modeling Choices
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Hands-On Mathematical Optimization with Python: https://
amzn.to/4b3VADe “…presents the key ingredients of an optimization problem and the choices one needs to make when modeling a real-life problem mathematically. Topics covered range from linear and network optimization to -

AI Optimization Playbook: Strategies for Business Success and Responsible Innovation
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HotRelease from @PacktDataML "The AI Optimization Playbook: Drive business success with proven AI strategies, best practices, and responsible innovation" See it at http://
amzn.to/45CtY4L 𝕋𝕒𝕓𝕝𝕖 𝕆𝕗 ℂ𝕠𝕟𝕥𝕖𝕟𝕥𝕤:
Understanding the Perils of AI Products -
Async vibe-coding with AI agents builds apps
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Now I can literally stack prompts in @Anything, step outside to touch grass, and come back to a fully built app ☕
— Charly Wargnier (@DataChaz) 19 mars 2026
Shall we coin it async vibe-coding? 👀pic.twitter.com/EcLpC3CLWs https://t.co/KwoEEI9qi5Now I can literally stack prompts in @Anything
, step outside to touch grass, and come back to a fully built app Shall we coin it async vibe-coding? -

AI Summit Operationalizing AI in Life Sciences
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Thomas Robinson is at the Flagship Pioneering AI Summit next week — where leaders from pharma, biotech, and AI are working through what it actually takes to operationalize AI in life sciences. https://
domino.buzz/4lpbP10 -
New scientific article published on arXiv March 19 2026
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read more: https://alphaxiv.org/abs/2603.14482
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V-JEPA 2.1 Unlocking Dense Features Video Self-Supervised Learning
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Yann LeCun and his team dropped yet another paper! "V-JEPA 2.1: Unlocking Dense Features in Self-Supervised Learning" In this V-JEPA upgrade, they showed that if you make a video model predict every patch, not just the masked ones AND at multiple layers, they are able to
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Microsoft Fabric Guide: Discovery to Unified Data Platform
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The Definitive Guide to Microsoft Fabric — From discovery to building a unified, secure, and scalable data platform: http://
amzn.to/3MdE1Xk v/ @PacktDataML Table of Contents: Getting started with Fabric From Lakehouse to First Analysis Unifying Data in OneLake -
OpenUI vs Custom React for Agent Frontend Development
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OpenUI seems like a solid pick for agent frontends. Curious how the component library compares to building custom with React + streaming from scratch?