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Mostly about building products, healthcare tech, and lessons learned along the way.
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Mostly about building products, healthcare tech, and lessons learned along the way.
2 articles on deepseek.

The prediction was: bigger models win. The reality was: DeepSeek R1 rewrote the rules in January and nothing was the same after that. What 2025 taught us about reasoning, inference-time compute, and the economics of intelligence.

I've been reading ML papers for 10 years. Most don't matter. These architectural choices did. RoPE, GQA, SwiGLU: each one solved a real scaling problem. What to look for when a new model claims 'better architecture.'