Recursive validated self-improving AI at $4.65B. AGI ALPHA is building the public proof layer. Not just AI that improves—
AI that proves, replays, audits, archives & compounds. Proof-bound. Enterprise-ready. Built in public. https://
github.com/MontrealAI/agi
alpha-first-real-loop
… #AGIALPHA #MontrealAI
AI
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AGI ALPHA: public proof-layer for recursive self‑improving AI
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Databricks Unveils No-Code Lakeflow Designer
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Lakeflow Designer is a visual, no-code, AI-native way to prepare and analyze data directly on Databricks.
— Databricks (@databricks) 14 mai 2026
Data stays in place, governed by Unity Catalog from the start, with lineage and permissions intact. Every transformation generates production-ready Python code under the… pic.twitter.com/WUv1xXU5gaLakeflow Designer is a visual, no-code, AI-native solution for preparing and analyzing data directly on Databricks. Data remains in place, governed by Unity Catalog from the outset, with lineage and permissions preserved. Every transformation automatically generates production-ready Python code underneath.
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Grok AI’s Ability to Understand and Simulate a Person Discussed
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Well, Grok can already tell you EVERYTHING about me, including how I think. And it can simulate me also, quite well, I might add.
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AI Inferencing Chips and Major Acquisition in the AI Hardware Market
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AI Inferencing chips. $100 billion. NVIDIA bought @GroqInc for $20 billion, which was its closest competitor. Jensen got a deal!
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Job opportunity in continual learning research
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Jake will be working with a lot of folks on continual learning – if that’s interesting, reach out to him!
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Policy Brief: Monitoring AI in FDA-Authorized Medical Devices
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New policy brief: 76% of FDA-authorized medical AI devices are radiology tools — yet most lack robust post-deployment monitoring. Our latest brief introduces a practical framework for real-time performance oversight of clinical AI. https://
hai.stanford.edu/policy/operati
onalizing-real-time-monitoring-of-clinical-ai
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Why AI Pilots Fail: Strategy and Operational Integration
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Most AI pilots fail Not because of the tech.
Because of the strategy. • No clear ownership
• No measurable outcomes
• No operational integration AI becomes valuable when tied to business execution. Via Giuliano Liguori (
@ingliguori
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MagicPath: Real Interactive Prototypes from Design and AI Agents
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Everything you make in MagicPath is a real, interactive prototype, not a static file. Real code, running in the browser, shareable with a link. Your design is not just how it looks but also how it works, all your intent is there when working with agents.
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Real-time Multiplayer Canvas for Humans and AI Agents
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MagicPath is real-time multiplayer.
— Pietro Schirano (@skirano) 14 mai 2026
Humans and agents all access the same canvas, and it becomes the shared context for your team. Every person and every agent has a real-time presence on the canvas, so you can see who is working on what as it happens. pic.twitter.com/NSuptkJSu2MagicPath is real-time multiplayer. Humans and agents all access the same canvas, and it becomes the shared context for your team. Every person and every agent has a real-time presence on the canvas, so you can see who is working on what as it happens.
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MagicPath: AI Tool Shaping the Future of Work Supervision
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We believe in a future where work is less about doing the thing, and more about supervising it. We've been using MagicPath internally for months. Everything you see here was built in it. It's been the perfect glimpse into the future of work.