Why is everyone freaking out? Pivoting from running shoes to running AI data centres is such an obvious idea
INNOVATION
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QA Lab vulnerability reports and code management practices
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@buddyhadry Sending vulnerability reports for the QA Lab code we aren't shipping in prod at all? Come on. Send a PR instead if this is relevant for your setup.
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Transform OT Teams From Defenders to Co-Authors
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A strategy that transforms OT teams from defenders to co-authors changes everything. Their buy-in becomes ownership, their resistance becomes partnership.
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Beginner’s Guide to Building AI Agents
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A Beginner’s Guide to Building AI Agents AI agents are becoming more accessible — this guide walks you through how to start building and using them effectively. Read more https://
bernardmarr.com/a-beginners-gu
ide-to-building-ai-agents/
… #AI #Automation #TechGuide #BernardMarr -

US Treasury Secretary Hails Claude Mythos as Step Function Breakthrough
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The US Treasury Secretary just went on stage at a WSJ event and called Anthropic's Claude Mythos "a step function change in abilities." Last week, he and Fed Chair Powell called an emergency meeting with every major Wall Street CEO because of this model. The week before that,
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User Scoped Memory Management for Deployed AI Agents
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User scoped memory is one of those things that doesn’t matter if you’re building a toy agent for yourself, but when you release at scale you gotta get it right Deepagents deploy helps you do that, easily
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AI Brain Gets Smarter by Shrinking Through Neural Optimization
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The #AI Brain That Gets Smarter by Shrinking
by Bei Yan @NeuroscienceNew Learn more: https://
bit.ly/4srdo0a #ArtificialIntelligence #MachineLearning #ML #DL -
Ouro: Self-Improving AI Through Iterative Learning Loops
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Ouro: Building Self-Improving AI Through Iterative Learning Loops
— Satya Mallick (@LearnOpenCV) 15 avril 2026
In this episode of Artificial Intelligence: Papers and Concepts, we explore Ouro, a new approach to AI that focuses on self-improvement through iterative feedback and learning loops. Instead of relying solely on… pic.twitter.com/V34i1Tk4prOuro: Building Self-Improving AI Through Iterative Learning Loops In this episode of Artificial Intelligence: Papers and Concepts, we explore Ouro, a new approach to AI that focuses on self-improvement through iterative feedback and learning loops. Instead of relying solely on
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Stanford-Princeton LabWorld AI Enables Autonomous Self-Learning Laboratory
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LabWorld just gave AI an infinite self-learning lab powered by reinforcement learning.
— AI Highlight (@AIHighlight) 15 avril 2026
No hand-coded protocols. No manual biology. The system runs experiments, learns from results, and evolves autonomously.
Stanford + Princeton built this. It's live now. https://t.co/p8tvHQzGsPLabWorld just gave AI an infinite self-learning lab powered by reinforcement learning. No hand-coded protocols. No manual biology. The system runs experiments, learns from results, and evolves autonomously. Stanford + Princeton built this. It's live now.
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AI Solutions to AI Problems: A Systemic Critique
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when AI causes problems in any part of a process, the solution is always AI at the other end of the process many such cases