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Welcome to today's AI Business Weekly. You're part of a community that values clarity over hype and business impact over benchmark theater. Let's get to it.
OpenAI Announces o3 Reasoning Model with 96.7% Math Score, Surpassing Human Benchmarks
OpenAI's o3 crosses human-level benchmarks, but questions remain about what that actually means for AGI. Read more →
Resolve AI Becomes Enterprise Software Unicorn with $1B Valuation in Series A
Former Splunk executives hit unicorn status in months with a data platform that somehow signed 100 Fortune 500 companies before most startups find product-market fit. Read more →
Yann LeCun Launches AMI Labs at $3.5B Valuation, Seeking $586M to Build World Models
Turing Award winner leaves Meta, calls Silicon Valley "hypnotized," and bets $3.5 billion that everyone's doing AI wrong. Read more →
Liquid AI Raises $250M Series A at $2.35B Valuation for Foundation Model Development
MIT spinout raises at unicorn valuation claiming their architecture uses 90% less memory than transformers—if true, this matters. Read more →
Google Launches Veo 2 Video Generator, Directly Challenging OpenAI's Sora
Google's answer to Sora generates 4K video, but limited access means most people still can't use either platform. Read more →
Tractian Raises $120M Series C at $720M Valuation for Industrial AI Maintenance Platform
Brazilian startup proves AI doesn't need to be sexy—predictive maintenance across 600 factories just works. Read more →
Genesis Open-Source Physics Simulator Unites 20 AI Labs for Generative Robotics Research
Twenty AI labs decided collaboration beats competition for robotics infrastructure, releasing a simulator 43x faster than alternatives. Read more →
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📊 POLL QUESTION
Which AI development matters more for your business in 2026?
📢 The Signal Behind the Noise
OpenAI claims near-AGI then panics about Google. LeCun bets $3.5B that transformers are wrong. Resolve AI hits unicorn status in months. Tractian proves industrial AI just works.
The contradiction is the point. AI is mature enough for production and uncertain enough that billion-dollar bets challenge core assumptions. Winners execute both: ship today's products, predict tomorrow's paradigms. Expensive? Yes. That's why Series A deals now exceed $250M.
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