The real reason AI is failing inside companies? Let’s say it. A company decides to go all-in on AI. The CEO announces the vision.
The CTO aligns.
The CIO gets the budget. Then the real transformation begins. Chief AI Officer.
AI Center of Excellence.
AI Ethics.
AI Governance.
@pascal_bornet
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Why AI Implementation Fails Inside Companies
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Disney Olaf Becomes Intelligent Physical AI System at GTC
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This isn’t just a Disney robot. It’s a preview of the next generation of AI systems.
— Pascal Bornet (@pascal_bornet) 22 mars 2026
At GTC 2026, Nvidia showed how characters like Olaf are no longer just animated — they’re becoming intelligent physical systems, built with Disney and DeepMind.
But what stood out to me wasn’t… pic.twitter.com/zbnjVKGq1YThis isn’t just a Disney robot. It’s a preview of the next generation of AI systems. At GTC 2026, Nvidia showed how characters like Olaf are no longer just animated — they’re becoming intelligent physical systems, built with Disney and DeepMind. But what stood out to me wasn’t
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Why Developers Join Companies: Fixing That One Persistent Bug
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Sometimes I’m convinced the real reason people join a company… is to finally kill that one bug that’s been annoying them for years. Career goals can wait. Have you ever wanted to fix a product problem so badly you almost joined the company? #TechHumor #Innovation #Software
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Google’s Gemini 3 Pro Dominates AI Leaderboards with Innovative Training
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Google’s Gemini 3 Pro is now sitting at the top of several major AI leaderboards. Not by a little — clearly ahead on LMArena, WebDev Arena, and Vision Arena. But what really caught my attention isn’t just the model performance. It’s how it was trained. Google trained Gemini
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Netherlands Tests Laser Lines to Warn Drivers of Wildlife Crossings
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The Netherlands is testing something that sounds futuristic at first — laser lines along roads where wildlife crossings are common.
— Pascal Bornet (@pascal_bornet) 21 mars 2026
But they’re not there to stop animals.
They’re there to warn drivers.
When animals approach the road, thin beams of light appear — signaling that… pic.twitter.com/hsqt7xBMBAThe Netherlands is testing something that sounds futuristic at first — laser lines along roads where wildlife crossings are common. But they’re not there to stop animals. They’re there to warn drivers. When animals approach the road, thin beams of light appear — signaling that
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Car Dashboards Repackage Distraction as Innovation
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The hypocrisy and absurdity of modern technology never ceases to amaze me. Touching a phone while driving is dangerous.
Touching a much bigger phone built into the car is perfectly fine. Sometimes technology doesn’t remove the problem.
It simply repackages it as innovation. I -
Finland’s Data Center Heat Powers City Heating System
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Impressive.
— Pascal Bornet (@pascal_bornet) 20 mars 2026
Finland just turned a problem most tech companies ignore into a solution for an entire city.
Data centers generate enormous amounts of heat while processing data. Normally, that energy is wasted.
But in Finland, engineers had a different idea.
They placed data… pic.twitter.com/NdWTBn61fDImpressive. Finland just turned a problem most tech companies ignore into a solution for an entire city. Data centers generate enormous amounts of heat while processing data. Normally, that energy is wasted. But in Finland, engineers had a different idea. They placed data
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AI Micromanagement: How Leaders Slow Transformation
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The AI Micromanager Trap I see this pattern a lot when companies adopt AI. Leaders think they’re driving the transformation.
But often, they’re just slowing it down. They believe they’re steering the team toward progress. In reality, they’re reviewing every prompt, -
Digital Transformation Gap: IT Integration vs Reality Check
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This is what IT calls seamless integration. And what senior management proudly calls digital transformation. Curious: 𝗗𝗼𝗲𝘀 𝘆𝗼𝘂𝗿 𝘁𝗲𝗰𝗵 𝘀𝘁𝗮𝗰𝗸 𝗹𝗼𝗼𝗸 𝗮𝗻𝘆 𝗱𝗶𝗳𝗳𝗲𝗿𝗲𝗻𝘁? #AI #DigitalTransformation #Automation #TechHumor #FutureOfWork Image credits:
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AI Hallucinations: Confident Wrong Answers from Language Models
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This might be the most accurate illustration of 𝗔𝗜 𝗵𝗮𝗹𝗹𝘂𝗰𝗶𝗻𝗮𝘁𝗶𝗼𝗻 I’ve seen in a while. You ask a simple question.
The model answers 𝗰𝗼𝗻𝗳𝗶𝗱𝗲𝗻𝘁𝗹𝘆.
And then… reality strongly disagrees. Working with AI every day, I see this pattern often. Large language