MIT Technology Review · AI· Will Douglas Heaven·· 4 h ago
“We were looking at it wrong”: The explosive claim that’s upended the AI world
“We were looking at it wrong”: The explosive claim that’s upended the AI world
AI summary
“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.
Selection record
Threshold 76Media and individualsFirst 58Second 58
Not admittedSum of both 116 < twice the threshold 152
- Source tier
- Media and individuals; this tier's threshold is 76
- Pre-filter
- passed：讨论神经网络可解释性与AI安全
A model scores each item twice, independently, against one written standard, out of 100. An item is admitted only when the two scores add up to twice the threshold. The threshold is set per source tier.
Source: MIT Technology Review · AI · technologyreview.com