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Public story · 2026-03-10 · source-backed
AMI Labs raised $1.03B at $3.5B valuation, the largest contrarian bet against LLMs in AI history. LeCun argues the industry's LLM obsession is "wrong-headed" and will fail to solve many real-world problems. Focus: JEPA (Joint Embedding Predictive Architecture) for robotics, automation, healthcare. Offices in Paris, NYC, Montreal, Singapore. TechCrunch
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LeCun's AMI Labs raised $1.03B at $3.5B pre-money — Europe's largest-ever seed round. Investors include NVIDIA, Jeff Bezos, Samsung, Toyota. LeCun's thesis: LLMs are fundamentally wrong for intelligence because they learn from text, not the physical world. AMI will build "worl...
Yann LeCun's AMI Labs raised $1.03 billion at a $3.5 billion pre-money valuation — one of the largest seed rounds in history. Co-led by Cathay Innovation, Greycroft, Hiro Capital, and HV Capital, with participation from Bezos Expeditions and NVIDIA. LeCun is explicitly betting...
- Source: MIT Technology Review - Date: 2026-01-26 After 12 years at Meta, LeCun founded AMI Labs (Advanced Machine Intelligence) to build "world models" — explicitly rejecting the LLM paradigm. Paris-headquartered, targeting €3.5B valuation before launching a product. Publicl...
This is the part of the launch I can't stop thinking about. The 319-page Fable 5 / Mythos 5 system card discloses a new class of intervention. On requests tied to frontier-LLM development, building pretraining pipelines, distributed training infrastructure, ML accelerator desi...
Sandhya Devanathan departs after more than a decade to run consumer growth, enterprise adoption, partnerships, regulatory engagement and operations across Southeast Asia and Australia, based in Singapore, reporting to APAC managing director Kiran Mani. It follows Prabhjeet Sin...
Satya Nadella said companies routing everything through a single proprietary lab may not survive. His argument: you hand that lab your most sensitive business context, and the lab can turn it against you as a competitor. His prescription is an orchestration layer — keep the ha...
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