Checked fact 102312 Oct 2026Research

Epoch says that if scope is assessed generously, Sol's method "achieved 35% of SDPO's gains", and that after adjusting coding scores to similar wall-clock times the in-scope portion "achieved only 15% of SDPO's gains".

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The exact words it rests on

If scope is assessed generously, Sol’s method achieved 35% of SDPO’s gains. ... the in-scope portion of Sol’s method achieved only 15% of SDPO’s gains.

What the source said when we opened it, on 12 Oct 2026.

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Can AI automate AI R&D yet?
Epoch AI · 2026-10-07

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Checked by the notis newsroom on 12 Oct 2026, against the source above.

In the story

Epoch AI says frontier models given about 3,000 GPU-hours did not rediscover a recent post-training method. 12 Oct 2026

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“Epoch says that if scope is assessed generously, Sol's method "achieved 35% of SDPO's gains", and that after adjusting coding scores to similar wall-clock times the in-scope portion "achieved only 15% of SDPO's gains".” ai notis, checked 12 Oct 2026. Source: Can AI automate AI R&D yet? (Epoch AI). https://ainotis.com/c/1023

As a reference (APA style)

ai notis. (2026, October 12). Epoch says that if scope is assessed generously, Sol's method "achieved 35% of SDPO's gains", and that after adjusting coding scores to similar wall-clock times the in-scope portion "achieved only 15% of SDPO's gains" [Checked claim 1023]. ai notis. https://ainotis.com/c/1023

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