The Scaling Wall Was A Mirage

kept by eddie nov 21, 25

Gemini 3's performance leap and Nvidia's $0.5 trillion revenue visibility confirm AI scaling laws are accelerating, not plateauing.

https://t.co/boFKQfPb3G
Gemini 3 confirms scaling laws for pretraining are intact, marking the most important AI datapoint since o1's release and implying Blackwell models will show significant improvement.
also on Blackwell, #scaling-laws, Gemini, #generative-ai, #ai
Yes, AGI Can Happen - A Computational Perspective
Contra Tim Dettmers, Dan Fu argues current AI systems significantly underutilize hardware, models lag hardware buildout, and multiple paths exist to useful AGI.
also on Blackwell, #scaling-laws, #generative-ai
Why I don't think AI is a bubble
The combination of large language models with reinforcement learning creates a path for continued improvement, making the argument that AI progress will plateau unlikely.
also on #scaling-laws, #machine-learning, #generative-ai, #ai
What (I think) makes Gemini 3 Flash so good and fast
Gemini 3 Flash likely uses a massive 1.2 trillion-parameter ultra-sparse MoE architecture, activating only 5–30 billion parameters per inference to deliver high intelligence at low cost, though it suffers from token bloat and a 91% hallucination rate on refusals.
also on #scaling-laws, #machine-learning, #generative-ai, #ai