Writings

2026

• Where AI Work Goes Afterward Jun 1
  The most important AI record is not the output. It is the interaction that produced it.
• The AI Token Is Half a Unit of Measurement May 24
  AI providers can measure what goes in with precision. Most businesses still cannot measure what comes out.
• When AI Stops Being an Assistant May 23
  The real bottleneck in enterprise AI is not the model. It is whether the organization and the architecture are ready for systems that can sense, reason, and act.
• Loops Find Questions May 22
  When a problem is still taking shape, a good AI loop is often more useful than a polished prompt.
• Intelligence Does Not Create Energy. It Unlocks It. May 15
  For centuries, civilization advanced by using intelligence to unlock energy that was already there. AI changes the pattern because it operates on the intelligence side of the loop itself.
• The Next Programming Language Will Not Be Written for Us May 13
  As implementation becomes cheap, software engineering shifts away from syntax and toward specification, semantics, and verification.
• What Happens When a Company Stops Thinking May 11
  We are starting to automate judgment. Judgment is not a task. It is how we decide what matters.
• One Workflow Beats an AI Readiness Deck May 7
  If an SMB wants to know whether it is ready for AI, the fastest way to learn is not a longer assessment. It is one shipped workflow with real owners, real data, and real stakes.
• AI Doesn't Run on Tribal Knowledge May 2
  AI didn't create the gaps in your operations. It exposed them.
• AI Isn't SaaS. The Bill Is Coming. Apr 30
  GitHub just put a meter on Copilot. Other vendors will follow. The flat AI subscription model and the real economics of inference are starting to collide.
• Quarante ans. Trois métriques. Zéro qui tient la route. Apr 29
  Le tokenmaxxing est la dernière version d'un piège très ancien : confondre ce qui est facile à compter avec ce qu'on cherche vraiment à mesurer.
• Forty Years. Three Metrics. None of Them Work. Apr 29
  Tokenmaxxing is the latest version of a very old trap: confusing what's easy to count with what you actually want to measure.
• You Changed Who Worries. That's Not Automation. Apr 28
  Most AI projects don't replace people. They replace a cheap operator with an expensive supervising engineer.
• Alice Evolves the Way Code Should Apr 26
  Most agent systems that claim to improve over time are actually just overwriting themselves. There is a better model -- and it comes from software engineering.
• Ambient presence beats the better chat box Apr 20
  ChatGPT's growth is extraordinary, but its flattening may reveal the limit of AI as a destination product rather than a capability embedded inside operational software.
• Procurement Is Not Transformation Apr 11
  Confusing deployment with adoption, and adoption with outcome, is the unforgivable sin of enterprise AI.
• Votre IA a besoin d'un toit. Pas du cloud. Apr 9
  Le matériel existe. Les modèles existent. Ce qui manquait, c'était un système pensé pour des entreprises qui n'ont pas d'équipe technique.
• The Roadmap Is Just Paper Apr 6
  The most interesting AI story I've seen this year didn't come from a lab. It came from a shop floor.
• Your Private AI Isn't an Assistant. It's a Twin. Apr 2
  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.
• The Intelligence Layer Mar 31
  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.
• The Job AI Actually Created Mar 27
  Everyone talks about what AI replaces. Nobody talks about the validation layer it created -- and why you need more senior people, not fewer.
• Did You Sign an NDA With Your AI? Mar 26
  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.
• Cybersecurity Is Not an Annual Event Mar 26
  Most companies assess their security posture once or twice a year. Private AI changes that equation completely.
• AI Without Structured Knowledge Is Just Noise at Scale Mar 26
  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.
• Where Does Research End and Influence Begin? Mar 24
  Anthropic just ran the largest qualitative AI study ever. 81,000 people. The findings aren't the story. The method is.
• The Map Is Gone Mar 23
  The interface we've used for 40 years is disappearing. And most software is still designed for a world that no longer exists.
• The Only Thing That Keeps a Company Alive Mar 21
  Most technology leaders get it backwards. They optimize for risk, for control, for internal excellence. But none of those close deals.
• AI Is Not a Strategy Problem for Service Companies Mar 19
  Everyone is telling service firms to become AI companies. That advice will destroy more mid-size firms than AI itself.
• The Integrator's Dilemma Mar 18
  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.
• The Prompt Layer Is the New Crown Jewel Mar 16
  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?
• Your AI Junior Researcher Works While You Sleep Mar 13
  Karpathy's AutoResearch runs 100+ ML experiments overnight on a single GPU. The researcher's job just changed.
• Private AI infrastructure for Canadian SMBs Mar 11
  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.
• The Women Who Stayed Mar 8
  International Women's Day. Not a celebration post. A recognition of competence so undeniable that the noise becomes irrelevant.
• Everyone Becomes a Builder Mar 8
  AI doesn't replace your people. It makes all of them builders. What Anthropic learned internally is what every SMB needs to hear.
• Why Small Businesses Need Their Own AI Mar 7
  Cloud AI is convenient until it isn't. For small businesses, owning your AI infrastructure is about control, cost, and common sense.
• What a Private AI Appliance Actually Looks Like Mar 1
  A walkthrough of the box that brings AI to businesses that will never hire a developer.
• The Company Without an IT Team Doesn't Need a Copilot Mar 1
  They need something that just works.
• When the Loop Breaks Feb 26
  What happens when AI removes the consumer from the economic loop?
• Vision to Trust Feb 25
  The hardest translation isn't tech to business. It's vision to trust.
• A place to begin Feb 12
  Why this site exists, and what it's for.
• Liberté, Égalité, Fraternité Feb 9
  Pas comme une devise. Comme un contrat de société.
• The Gap Feb 5
  The gap between success and failure isn't talent. It's what you do when no one's watching.
• The Trust Gap Jan 13
  Optimism about AI seems less about the technology itself and more about whether people believe the future still has a place for them.
• Turning 59 Jan 2
  Technology is not the strategy. It is only a lever.

2025

• The Energy Cost of AI Nov 14
  Energy is quickly becoming the main constraint in scaling computing resources globally.
• Bet on the Self-Educators Nov 7
  You cannot teach people unless they want to learn — and when they want to learn, there is nothing to stop their progress.
• If There's a Simpler Way, Don't Use AI Oct 31
  The urge to incorporate AI into enterprise flow is big. I see the pressure and FOMO everywhere.
• Être critique, c'est bien. Mais à force, on n'avance plus. Oct 20
  Refuser l'IA, c'est refuser d'écrire le prochain chapitre de notre propre histoire.
• Le Chat Control ou la tentation de l'Inquisition numérique Oct 14
  Une société qui veut tout prévenir finit par tout interdire.
• Garder le cap Sep 12
  L'aventure ne fait que commencer.
• Why Bother Aug 12
  I'd trade a thousand terabytes of knowledge just to feel what it's like to hold a cup of coffee.
• L'IA ne nous menace pas. Elle nous met au défi. Jul 25
  Le risque n'est pas l'IA. Le risque est de continuer à piloter nos organisations comme des usines à tâches.
• Ne lancez pas un projet IA sans préparation Jul 15
  Un bon cadrage aujourd'hui évite les regrets demain.
• Le vrai humain ne se trouve pas de l'autre côté de vos écrans Jul 5
  Si vous cherchez un vrai contact, le regard de vrais humains, vous ne le trouverez plus de l'autre côté de vos écrans.
• Grossir ou Grandir ? Jun 29
  Croître n'est pas toujours grandir. La vraie croissance est exigeante. Elle coûte moins mais vaut plus.
• Décider, c'est s'exposer Jun 25
  Une stratégie brillante échoue si son exécution est bancale.
• Attention aux pickpockets numériques Jun 19
  Ne baissez jamais la garde quand vous êtes en ligne.
• Train to Be a Plumber Jun 17
  From the creator of the technology to a troubled alarmist of its consequences — Hinton is following the path of Oppenheimer.
• What Will Be the Real Achievement in AI Research? Jun 13
  Those who control these foundation models are the superpowers of tomorrow.
• AI Cannot Reason — or Can It? Jun 9
  What really is reasoning? And do we even have a good understanding of reasoning in humans?
• Quiet Innovation Jun 2
  Real transformation doesn't always come from the top down — it often starts with people on the ground.
• The Never-Depreciating Skills May 26
  What are the long-lasting, never-depreciating skills a knowledge worker needs for a lifetime-resilient career?
• Beyond Tokens — the Byte Latent Transformer May 14
  Fixed tokenizers are a source of bias in our models. What if we went back to bytes?
• AI, or The Enterprise Engine Upgrade May 10
  We are still at the early times of enterprise AI. Here are the real hurdles companies face.
• The AI Divide Is Real — and It's Growing Faster Than We Think May 6
  AI development is concentrated in just a few regions. That concentration risks bigger economic gaps, biased systems, and missed local solutions.
• Deux visions de l'IA — futur radieux ou gadget temporaire ? Apr 14
  Les optimistes voient un potentiel énorme. Les sceptiques voient la dépendance. La vérité est entre les deux.
• Search Is Changing — Optimize for AI Apr 9
  There is less need to advertise. There is an absolute necessity to appear in organic results to target AI agents.