StoryFirst seen

OpenAI says its internal model keeps improving as it spends more compute

A chart from its blog suggests extra compute spent at answer time is not hitting diminishing returns.

Archived Updated

Everything it touches

1 names 1 voices 1 source posts

The story’s neighborhood

NAMESVOICESPOSTS

Explore the graph, or choose a connection below.

Follow the evidence

The source posts

This brief comes from Tech Twitter’s edited headlines. The posts below are the sources grouped with the story; statements in them belong to their authors.

Andrew CurranLead source
OpenAI posted a chart for the internal model that solved Navier–Stokes (the model I call GPT-Aeon) with the NS announcement. There were no diminishing returns on test-time compute, it was still going up. I will quote from the blog: 'Since August 28 we have been training a new internal model that has exhibited unprecedented performance in our benchmarks, including mathematics. This model’s training is ongoing and its performance continues to improve.' That was two months ago.
Read original on X

How the headline evolved

  1. OpenAI says its internal model keeps improving as it spends more compute

  2. OpenAI says internal model's gains keep rising as it uses more compute

  3. OpenAI says internal model's results keep rising with more inference compute

  4. OpenAI's internal model shows no test-time compute plateau

  5. OpenAI's internal model shows no test-time compute plateau

Shared connections

Related stories