SAM ALTMAN SAYS AGENTS ARE COMING • CHATGPT GAINED SENTIENCE FOR 4 SECONDS • GOOGLE RELEASES 40th LLM THIS WEEK • NVIDIA MARKET CAP EXCEEDS REALITY • ANTHROPIC ENGINEER DISCOVERS NEW FORM OF GRIEF • MISTRAL RAISES AT VALUATION OF GROSS DOMESTIC PRODUCT • SAM ALTMAN SAYS AGENTS ARE COMING • CHATGPT GAINED SENTIENCE FOR 4 SECONDS • GOOGLE RELEASES 40th LLM THIS WEEK • NVIDIA MARKET CAP EXCEEDS REALITY • ANTHROPIC ENGINEER DISCOVERS NEW FORM OF GRIEF • MISTRAL RAISES AT VALUATION OF GROSS DOMESTIC PRODUCT •
breakthroughsWTF 7.4via MIT Tech Review AI

“We were looking at it wrong”: The explosive claim that’s upended the AI world

"We finally stopped treating the black box like a magic trick and started reading the code."

Explain Like I'm Normal

Goodfire researcher Nick Cammarata published a massive manifesto on mechanistic interpretability, arguing that neural networks aren't inscrutable black boxes but structured systems we can finally map. By using Sparse Autoencoders, researchers can now isolate specific 'concepts' within models, potentially solving the alignment and safety problems by actually seeing how a model 'thinks'.

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#interpretability#mechanistic#sae#neural-networks

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