Meanwhile I have not seen a *single* useful use case of ANY AI working inside of ANY mainstream Microsoft products.
SOFTWARE
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Alteryx One: AI-Powered Clean Data and Workflow Automation
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Love isn’t ignoring errors — it fixes them. This #ValentinesDay, we’re celebrating clean data, seamless workflows, and AI-powered insights that make our hearts skip a beat. Whether you’re building the perfect workflow or meeting Annie, there’s a lot to love in Alteryx One.
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A2A: Agent2Agent Protocol Course for Multi-Agent Systems
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New course: A2A: The Agent2Agent Protocol, built with @googlecloudtech and @IBMResearch, and taught by Holt Skinner, @ivnardini, and Sandi Besen.
— Andrew Ng (@AndrewYNg) 12 février 2026
Connecting agents built with different frameworks usually requires extensive custom integration. This short course teaches you A2A,… pic.twitter.com/lgEXdqSis9New course: A2A: The Agent2Agent Protocol, built with @googlecloudtech and @IBMResearch, and taught by Holt Skinner, @ivnardini, and Sandi Besen. Connecting agents built with different frameworks usually requires extensive custom integration. This short course teaches you A2A, the open protocol standardizing how agents discover each other and communicate. Since IBM’s ACP (Agent Communication Protocol) joined forces with A2A, A2A has emerged as the industry standard. In this course, you'll build a healthcare multi-agent system where agents built with different frameworks, such as Google ADK (Agent Development Kit) and LangGraph, collaborate through A2A. You'll wrap each agent as an A2A server, build A2A clients to connect to them, and orchestrate them into sequential and hierarchical workflows. Skills you'll gain: – Expose agents from different frameworks as A2A servers to make them discoverable and interoperable – Chain A2A agents sequentially using ADK, where one agent's output feeds into the next – Connect A2A agents to external data sources using MCP (Model Context Protocol) – Deploy A2A agents using Agent Stack, IBM's open-source infrastructure Join and learn the protocol standardizing agent collaboration! deeplearning.ai/short-course…
→ View original post on X — @andrewyng, 2026-02-12 16:30 UTC
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Codex for iOS and Android coming soon?
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BREAKING: Mentions of Codex for iOS and Android have been spotted in the Codex repository. Codex release today?
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Vibe coding ML library refactor fails with no speedup
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Yesterday I tried to vibe code a refactor of an ML library into a new more efficient framework. I followed some of the "best practices" I heard of here: created the refactor plan with Claude and then implemented it in Codex. It was a disaster. No meaningful speedup for any of
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MemOS ajoute un plugin OpenClaw pour agents IA
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MemOS now has a plugin for OpenClaw that enables your AI agents to work on the common memory layer and cut down token usage.
— 🚨 AI News | TestingCatalog (@testingcatalog) 12 février 2026
– Multiple agents read/write the same memory — no manual context handoff
– 72% lower token costs (15.6M → 4.4M on LOCOMO dataset)
– Cross-session and… https://t.co/lUQeUQaEa1 pic.twitter.com/Z1GhBp9WgxMemOS now has a plugin for OpenClaw that enables your AI agents to work on the common memory layer and cut down token usage. – Multiple agents read/write the same memory — no manual context handoff
– 72% lower token costs (15.6M → 4.4M on LOCOMO dataset)
– Cross-session and -
Musk’s manipulation of generative AI on Grok
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Yes, of course, generative AI is entirely manipulable. Musk has demonstrated this several times by having algorithms modified to change Grok's editorial line on certain subjects in just a few hours.
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Elon Musk Predicts AI Will Generate Binaries Directly by 2026
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Elon Musk prédit que l’IA contournera complètement le code d’ici fin 2026, en générant directement le binaire.😅
— VISION IA (@vision_ia) 12 février 2026
"L’IA peut créer un binaire bien plus efficace que ce que n’importe quel compilateur peut produire aujourd’hui."
D'après lui , il suffira donc de dire :
« Crée un… pic.twitter.com/MHFmIq6MQBElon Musk predicts that AI will completely bypass code by the end of 2026, generating binary directly. "AI can create a binary far more efficient than anything any compiler can produce today." According to him, it will therefore suffice to say:
"Create an optimized binary to -
AI Models Give Completely Different SaaS Workforce Management Recommendations
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We asked two AI systems: “What are the best SaaS tools for clinic workforce management (not EHR)?” Completely different answers. Almost no overlap. Same question. Different market leaders. AI visibility is model-dependent. #AI #SaaS
→ View original post on X — @coremention, 2026-02-12 07:56 UTC
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Static vs Continuous Batching: Solving AI Chat Latency Issues
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Why Your AI Chat is Slow (Static Batching) ⏳
— Satya Mallick (@LearnOpenCV) 12 février 2026
Static batching means one slow request blocks everyone else for seconds. Here is how Continuous Batching solves the "slowest user" problem#Coding #DevOps #AIModel #Latency pic.twitter.com/CRe945HeYsWhy Your AI Chat is Slow (Static Batching) Static batching means one slow request blocks everyone else for seconds. Here is how Continuous Batching solves the "slowest user" problem #Coding #DevOps #AIModel #Latency