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VQV Signal

RESEARCH WATCH TECHNICAL

“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 speculati...

Source: MIT Technology Review AI · technologyreview.com Published 2026-10-19T17:45:55+00:00 Detected 2026-10-20T01:23:36+00:00
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“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 speculati...

“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)...

Signal Strength 87% Technical label WATCH Public Interest 28 Category RESEARCH Reader Depth TECHNICAL

Signal Strength reflects source quality, relevance, freshness and evidence. Public Interest helps organize discovery; it is not proof of truth.

Public Interest components
Recognizable Entity Score 0 Practical Impact Score 0 Novelty Interest Score 94 Consequence Score 30 Curiosity Score 0 Shareability Score 45

VQV surfaced this signal because it is recent, relevant to Startup Funding, connected to MIT Technology Review AI.