Why Specialization Is Inevitable

kept by eddie jul 01

Specialization is inevitable across optimization, biology, markets, and ML because fit beats breadth under finite resource constraints.

AI is doing something weird to Science
Scientific discovery emerges from a loop of human question-posing, LLM proposal, external verification, and human curation, not from AI alone.
also on AlphaFold, #machine-learning, #ai-research, #technology
AI for the Real World: A conversation with Yann LeCun (via @AnneliesGamble)
Yann LeCun argues that current large language models are a commercially viable local maximum, not the path toward human-level machine intelligence.
also on Yann LeCun, #machine-learning, #ai-research
Yann LeCun, an A.I. Pioneer, Warns the Tech ‘Herd’ Could Hit a Dead End - The New York Times
Yann LeCun argues that the prevailing approach to AI development, centered on scaling up chatbots, will not lead to truly intelligent machines.
also on Yann LeCun, #ai-research, #technology
Jeremy Mikkola - AI Thoughts
The article outlines potential downsides and limitations of AI development, including model stagnation, chip shortages, and cheap models, while also predicting advances like robot models and continual learning.
also on AlphaFold, #ai-research