Proud that the Canadian AI scene keeps shipping! Montreal, Toronto, and Edmonton have been punching way above their weight for years. AI was always international, the funding just wasn't.
@whats_ai
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AI and cognitive skills: beyond the calculator panic narrative
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47% is a bit alarming TBH. Though I wonder if this is the same panic we had about calculators killing math skills. The question is what we do with the freed-up cognitive bandwidth.
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NotebookLM: Comprehensive All-in-One AI Tool Review
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TBH notebook LM is pretty insane for an all in one tool.
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LLMs and evolutionary algorithms for production-level code generation
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LLMs + evolutionary algorithms for program search is a fascinating combo. Curious how it scales beyond toy problems to production-level code generation 🙂
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ReAct Loop: How AI Agents Think Step by Step
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Look at this diagram.👇
— Louis-François Bouchard 🎥🤖 (@Whats_AI) 15 mars 2026
This is how an AI agent thinks and works step by step.
It's called the ReAct Loop. Simpler than it looks.
Let me walk you through every part 👇
You type something: a question, a task, a goal.
That's the User Query. It's where everything starts.
The… pic.twitter.com/d1Lg1qbU7PLook at this diagram. This is how an AI agent thinks and works step by step.
It's called the ReAct Loop. Simpler than it looks. Let me walk you through every part You type something: a question, a task, a goal.
That's the User Query. It's where everything starts. The -

Education Impact Over Revenue: Student Success Metrics Matter
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I realized I don't care about my revenue now. Not because money doesn't matter.
But because revenue is just a consequence. What I actually care about: – Did our students get a job after the course?
– Did they build something real?
– Did they message us saying "this changed -
$200M Formal Verification Funding Advances Math-First AI Safety
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$200M for formal verification in AI is something! Congrats Carina. The math-first approach to safety could actually scale better than RLHF.
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Meta’s Model Release Strategy and Benchmarking Challenges
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Meta's model release strategy feels like a rollercoaster of "soon" announcements haha. At least give us something to benchmark against!
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Kill Vector Databases: Alternative Retrieval Solutions at Scale
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"Kill vector databases" is a bold claim haha. We'll see that at scale! Curious what the alternative retrieval layer actually looks like in practice.
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Autonomous Agents for Scientific Discovery: Hype or Reality?
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Autonomous scientific discovery is one of the most exciting agent use cases. Wonder if it works at all for now, or just makes us lazy for no good reason haha