Researcher claims LLM internals may be far easier to understand than thought
What happened
On 20 October 2026, MIT Technology Review reported that Nick Cammarata, a researcher at AI interpretability company Goodfire, published a 26,000-character blog post arguing that the internal mechanisms of large language models may be far easier to understand than previously believed. He said that on revisiting the famous "car and cat" neurons in Inception v1, he found their common feature is a V shape. The claim has sparked debate. The matter is still at the discussion stage, with no further verification or response yet.
Written by AI from the reports · updated 3 h ago
Timeline
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- MIT Technology Review · AI“We were looking at it wrong”: The explosive claim that’s upended the AI world
“I think I have good news about the nature of neural networks.” With those simple words of optimism, Nick Cammarata, a researcher at the AI startup Goodfire, kicked off a 26,000-word blog post that has knocked the AI world on its head, sparking wild speculation as well as cautious (and not-so-cautious) celebration.
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