←Story detail

Trending story

Ethan Mollick suggests the capability gap between labs' internal models and public models is widening

1 reports1 story updatesUpdated Oct 30 20:58

Understand this story

AI overview

Ethan Mollick offers a judgment, arguing that the capability gap between labs' best internal models and the best public models has widened over the past year. He also notes that there is currently a lack of effective measurement of this gap, and speculates that the gap will continue to widen, especially after Fable was temporarily banned. This judgment currently appears only in Mollick's own statements, with no other factual developments or official evidence to supplement it.

AI-generated from public reports

Latest development · Report

Ethan Mollick: The gap between labs' internal models and public models may be widening

Developments

1 confirmed developments

  1. Ethan Mollick suggests the capability gap between labs' internal models and public models is widening

    Source:Ethan Mollick

Reports and discussion timeline

Browse reports and discussion by time. Their evidence levels remain distinct.

Oct 30

  1. Ethan Mollick

    Ethan Mollick: The gap between labs' internal models and public models may be widening

    Ethan Mollick points out that there is currently no effective way to measure the capability gap between a lab's strongest internal model and its strongest publicly released model. He speculates that this gap has continued to widen over the past year, especially after Fable was temporarily banned.

Related stories

  1. Related storiesAnthropic Releases Randomized Controlled Trial on Analysts' Deference to AI Agent Judgment
  2. Related storiesJen Vescio states that the biggest obstacle to physical AI is that the physical world is not recorded
  3. Related storiesAltman says large models' ability to find vulnerabilities is growing exponentially
  4. Related storiesGoogle releases the Gemini 4 Carbon model