← All stories
AI & Tech

Eric Bigelow warns open-source AI restrictions could hinder interpretability research

By Egleze Editorial Desk · Published October 11, 2026 · Cognitive Revolution · How Agents Decide: Goodfire's Eric Bigelow on Critical Tokens, Phase Shifts, & In-Context Learning
Eric Bigelow warns open-source AI restrictions could hinder interpretability research
Cognitive Revolution
Cognitive Revolution
How Agents Decide: Goodfire's Eric Bigelow on Critical Tokens, Phase Shifts, & In-Context Learning

What was said

"I think there's like there have been some loose discussions around like placing restrictions on open source models bar none, you know, regardless of of where they're coming from. And I think that would be the bigger that would be a real problem."

Eric Bigelow says proposals to restrict access to open-source AI models, regardless of where they are made, would create major obstacles for interpretability research. He argues that safety-relevant work on higher-capability behaviours, including reward hacking and other misalignment failures, depends on access to large open models.

Verification status

Attributed speaker claim

Egleze verified who said this and where. The underlying claim has not been independently established by Egleze.

Source and context

Egleze verified who said this and where. The underlying claim has not been independently established by Egleze.

Speaker
Eric Bigelow · guest
Programme
Cognitive Revolution
Episode
How Agents Decide: Goodfire's Eric Bigelow on Critical Tokens, Phase Shifts, & In-Context Learning
Clip time
55:45
Original source
Watch the source segment →
From this episode
Cognitive Revolution
Cognitive Revolution

How Agents Decide: Goodfire's Eric Bigelow on Critical Tokens, Phase Shifts, & In-Context Learning

October 10, 2026 · 2h 0m · 4 Egleze moments
Read episode summary and key points →

More moments from this episode

AI & TechEric Bigelow says RL may erode chain-of-thought readability and faithfulness→AI & TechGoodfire’s Eric Bigelow says a punctuation token can sometimes change an LLM’s eventual answer→AI & TechGoodfire’s Eric Bigelow says 7–8bn-parameter models suit interpretability research→
More stories More from Cognitive Revolution