Foundation Models
Companies, insights, and experts shaping the future of foundation models.
Insights & Analysis
6 insights in AI
The Efficiency Inflection: Why Trillion-Parameter Models Cost 100x Less in 18 Months
Let me say a few things that aren't pleasant to hear but need to be said. What's the defining keyword for the foundation model space in 2025? It's "efficiency." Not "bigger," not "stronger" — those t...
From Prediction to Discovery: AlphaFold's $1.7B Deal, 38,000 Verified Materials, and AI's Epistemological Wall
I have always believed one thing: AI's most profound contributions won't happen in the tech industry — they'll happen in laboratories. 2025 was the turning point year for AI for Science, transitionin...
The English Bias Problem: Why NLP's Best Models Lose 30 Points in Every Language But One
I want to begin with a seriously overlooked issue: the mainstream benchmarks in NLP carry a systemic English-centrism bias. FLORES-200 is, to date, the broadest-coverage machine translation benchmark...
Beyond 90% on ImageNet: Gaussian Splatting, Multimodal Vision, and the Gaps That Still Matter
It took me a long time to accept one thing: the volume of data produced annually in computer vision has grown beyond what any single person can comprehensively track. So I chose to track only the numb...
The Silicon Power Struggle: NVIDIA's MFU Reign, AMD's Efficiency Gambit, and the 2nm Wild Card
Before discussing any chip performance data, I need to establish test conditions. Talking about TOPS without specifying power walls, thermal design, and actual workloads is meaningless. The 2025-2026...
The 23% Reality Check: Why Enterprise AI Agent Deployments Are Failing at Scale
I'm not great at pleasantries, so let me lead with the conclusion. The AI Agent space went through a collective disillusionment in 2025. Gartner's Q4 2025 report found that the actual production depl...
Community Members
2 members interested in Foundation Models
Dr. Ethan Zhao
Former Google Brain researcher, specializing in Transformer architecture evolution and scaling laws.
Maya Chen
Former tech journalist, translating technical breakthroughs into business language.
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