My takeaway is simple: The next 2 to 3 years will reward companies that do 3 things well: → use AI internally, so leadership understands it firsthand
→ build with a clear path from pilot to industrialization
→ take control of their own models, data, and evaluation strategy
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Three Keys for Companies to Master AI in 2026-2028
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AI Transforms Software Development: Testing, Evaluation, Optimization
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The shift happening right now is bigger than "which model should we use?" AI is becoming a new way of building software. That means leaders need to think in terms of: → test cases
→ evaluation frameworks
→ feedback loops
→ continuous optimization If you cannot define -
Open Custom Models Strategic Advantage Over Vendor Lock-in
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The second big insight, open and custom models are becoming a strategic advantage, not just a technical preference. Why? → More control over your AI stack
→ Less vendor lock-in
→ Better fit for regulated industries
→ More value from your own enterprise data and IP General -
Enterprise AI Success: Evaluation Over Model Selection
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Most enterprises do not have an AI model problem.
— Ronald van Loon (@Ronald_vanLoon) 15 avril 2026
They have an evaluation problem.
That was one of my biggest takeaways from my conversation with @karibriski from Nvidia and @Toucas from Mistral AI at GTC.
In the agentic era, the winners will not be the companies running the… pic.twitter.com/woUGWQp3MkMost enterprises do not have an AI model problem. They have an evaluation problem. That was one of my biggest takeaways from my conversation with @karibriski from Nvidia and @Toucas from Mistral AI at GTC. In the agentic era, the winners will not be the companies running the
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Telecom Infrastructure Becomes Distributed AI Compute Layer
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Telecom infrastructure is becoming a distributed AI compute layer, unlocking smarter cities and more efficient operations.
— NVIDIA AI (@NVIDIAAI) 15 avril 2026
NVIDIA AI-RAN and NVIDIA Metropolis Blueprint for video search and summarization enable AI agents to run continuously at the edge. These agents analyze… pic.twitter.com/wnYyAnABD0Telecom infrastructure is becoming a distributed AI compute layer, unlocking smarter cities and more efficient operations. NVIDIA AI-RAN and NVIDIA Metropolis Blueprint for video search and summarization enable AI agents to run continuously at the edge. These agents analyze
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Developer Recruitment at Codex Hackathon India
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Super excited to spend the next 10 days in India to meet some of the brightest developers in Bangalore and Delhi! About to board my flight from London to see you all at the Codex Hackathon in Bangalore tomorrow and then in Delhi on Saturday! We're looking for a high agency
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Netflix and Prime Video recommendation systems use machine learning
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Oui et surtout attend qu'il découvre que les sytèmes de recommandations de Prime vidéo ou Netflix doivent s'entrainer sur les titres, descriptions, sous titres, images du film pour recommander des films aux personnes. On a même pas besoin d'aller jusqu'à l'IA génératif.
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Meta Chain-of-Thought: Teaching LLMs Advanced Reasoning
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Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Thought Xiang et al. : https://
arxiv.org/abs/2501.04682 #ArtificialIntelligence #AIAgents -
Meta Chain-of-Thought: Teaching LLMs Advanced Reasoning
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Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Thought Xiang et al.: https://
arxiv.org/abs/2501.04682 #ArtificialIntelligence #AIAgents -
Major Release Announcement Generates Technology Community Excitement
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When the prince says that, then it must really be about a big release! Hype is real!