Did the Hardest Problem in A.I. Just Get Much Easier?

A prominent researcher claims to have a revolutionary approach to “interpretability,” or the science of why A.I. models do what they do. Other experts aren’t so sure.

The New York Times·15h ago

AI Models May Be Less Mysterious Than Researchers Thought

A tenet of artificial intelligence for years has been that it's difficult, or impossible, to know what goes on inside foundation models. The idea of models as ...

BankInfoSecurity·Oct 20

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

An exclusive interview with Nick Cammarata, the researcher whose 26,000-word viral blog post has AI safety folks celebrating.

MIT Technology Review·Oct 19

Former OpenAI researcher Nick Cammarata says most AI neurons are now interpretable

Crypto Briefing·Oct 16

What If AI's Black Box Isn't As Mysterious As We Thought?

Is AI a Black box or is it possibly more easily understandable than we previously thought? New research implies that explainability might be around the corner.

Forbes·1d ago

The Mirage of Benchmarks: The Divergence Between Interpretability and Measured Accuracy

The definition of "accuracy" in AI implementation is wavering across two different dimensions. One is the academic attempt to elucidate the black box inside models, and the other is the reality of ...

note·Oct 20

The Current State of Interpretability: Four Schools of Thought on Reading the AI Mind

Research into deciphering what is happening inside an AI is called "interpretability." As of the fall of 2026, differences in thinking regarding "what unit to use for reading" have emerged in this ...

note·Oct 17

Sam Altman amplifies Nick Cammarata’s interpretability claim

According to Sam Altman on X citing Nick Cammarata’s post and essay at already-clean.goodfire.com, modern agentic tools make most neurons in large ...

Blockchain News·Oct 16

Did This AI Research Breakthrough Just Avert the Apocalypse?

Pirate Wires·6d ago

Neural networks are 'already clean' says the researcher who helped prove AI was a tangled black box

On 15 October, Goodfire researcher Nick Cammarata challenged the view that artificial intelligence is an inscrutable black box, arguing that a preliminary language-model audit suggests most neuron ...

International Business Times UK on MSN·Oct 20

The Blog Post That Set the AI World on Fire

An incendiary post from a prominent researcher suggests that AI is actually more predictable than we thought.

The Atlantic·Oct 16

Goodfire: $150 Million Series B At $1.25 Billion Valuation Raised For Interpretability AI Lab

Goodfire, an AI research lab focused on interpretability for understanding and designing neural networks, has raised a $150 million Series B round at a $1.25 billion valuation, according to the ...

Pulse 2.0·Feb 5