Essays on AI, security, and building things that last.
2026
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Confusing deployment with adoption, and adoption with outcome, is the unforgivable sin of enterprise AI.
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Le matériel existe. Les modèles existent. Ce qui manquait, c'était un système pensé pour des entreprises qui n'ont pas d'équipe technique.
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The most interesting AI story I've seen this year didn't come from a lab. It came from a shop floor.
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We've been calling it the wrong thing. Private AI isn't a tool that helps employees work faster -- it's a digital twin of the people, processes, and knowledge that make your organization run.
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For 40 years, software waited for you to click. That contract just ended. What comes next isn't a better app -- it's a different relationship with your entire stack.
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Everyone talks about what AI replaces. Nobody talks about the validation layer it created -- and why you need more senior people, not fewer.
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You paste client briefs, contracts, and pricing strategies into a cloud AI. The model isn't bound to silence. Your clients don't know you made that decision for them.
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Most companies assess their security posture once or twice a year. Private AI changes that equation completely.
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The next AI failure won't be a model that can't think. It will be a model that thinks clearly about the wrong things.
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Anthropic just ran the largest qualitative AI study ever. 81,000 people. The findings aren't the story. The method is.
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The interface we've used for 40 years is disappearing. And most software is still designed for a world that no longer exists.
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Most technology leaders get it backwards. They optimize for risk, for control, for internal excellence. But none of those close deals.
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Everyone is telling service firms to become AI companies. That advice will destroy more mid-size firms than AI itself.
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Everyone's telling service companies to become AI companies. That's the wrong advice. The winning move is making AI work inside the messy reality you already know.
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McKinsey's AI platform was reportedly breached in two hours. If they can't secure it, what does that mean for Canadian SMBs using the same tools?
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Karpathy's AutoResearch runs 100+ ML experiments overnight on a single GPU. The researcher's job just changed.
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Most AI advice to small businesses skips the real question: where does your data live while the AI is doing your work? For Canadian SMBs, the answer shapes trust, compliance, and resilience.
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International Women's Day. Not a celebration post. A recognition of competence so undeniable that the noise becomes irrelevant.
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AI doesn't replace your people. It makes all of them builders. What Anthropic learned internally is what every SMB needs to hear.
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Cloud AI is convenient until it isn't. For small businesses, owning your AI infrastructure is about control, cost, and common sense.
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A walkthrough of the box that brings AI to businesses that will never hire a developer.
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They need something that just works.
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What happens when AI removes the consumer from the economic loop?
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The hardest translation isn't tech to business. It's vision to trust.
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Why this site exists, and what it's for.
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Pas comme une devise. Comme un contrat de société.
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The gap between success and failure isn't talent. It's what you do when no one's watching.
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Optimism about AI seems less about the technology itself and more about whether people believe the future still has a place for them.
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Technology is not the strategy. It is only a lever.
2025
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Energy is quickly becoming the main constraint in scaling computing resources globally.
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You cannot teach people unless they want to learn — and when they want to learn, there is nothing to stop their progress.
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The urge to incorporate AI into enterprise flow is big. I see the pressure and FOMO everywhere.
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Refuser l'IA, c'est refuser d'écrire le prochain chapitre de notre propre histoire.
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Une société qui veut tout prévenir finit par tout interdire.
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L'aventure ne fait que commencer.
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I'd trade a thousand terabytes of knowledge just to feel what it's like to hold a cup of coffee.
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Le risque n'est pas l'IA. Le risque est de continuer à piloter nos organisations comme des usines à tâches.
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Un bon cadrage aujourd'hui évite les regrets demain.
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Si vous cherchez un vrai contact, le regard de vrais humains, vous ne le trouverez plus de l'autre côté de vos écrans.
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Croître n'est pas toujours grandir. La vraie croissance est exigeante. Elle coûte moins mais vaut plus.
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Une stratégie brillante échoue si son exécution est bancale.
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Ne baissez jamais la garde quand vous êtes en ligne.
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From the creator of the technology to a troubled alarmist of its consequences — Hinton is following the path of Oppenheimer.
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Those who control these foundation models are the superpowers of tomorrow.
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What really is reasoning? And do we even have a good understanding of reasoning in humans?
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Real transformation doesn't always come from the top down — it often starts with people on the ground.
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What are the long-lasting, never-depreciating skills a knowledge worker needs for a lifetime-resilient career?
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Fixed tokenizers are a source of bias in our models. What if we went back to bytes?
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We are still at the early times of enterprise AI. Here are the real hurdles companies face.
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AI development is concentrated in just a few regions. That concentration risks bigger economic gaps, biased systems, and missed local solutions.
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Les optimistes voient un potentiel énorme. Les sceptiques voient la dépendance. La vérité est entre les deux.
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There is less need to advertise. There is an absolute necessity to appear in organic results to target AI agents.