GPT-6 Astra
Benefit
+20.60
Harm
0.00
Net Good
20.60
Verified benefit
0.00
History
Cumulative score
- Benefit
- Harm
- Net
Release
Status released. First dated 30 Aug 2026.
Event timeline
Retell uses OpenAI models to help power 100M monthly calls
GPT-6 Astra tops Retell’s voice agent benchmark, while Codex helps it reach a $1.6M annual revenue run rate per employee.
Higgsfield AI ships new video features in a day with GPT-6 Astra
With GPT-6 Astra, Higgsfield AI makes video ad creation easier for small businesses and brings new creative tools to market faster.
Introducing Astra for Law
OpenAI for Law brings frontier intelligence for law, custom firm workflows, connected legal data sources, and legal-grade controls for confidential client work.
OpenAI breakthrough triggers ‘existential crisis’ in math
Claimed Navier-Stokes solution has polarized mathematicians over AI’s role—and what it means for the next generation
Hierarchical temporal transformer for cancer grade prediction and cross cancer transfer learning from pathology reports
Language models for cancer clinical reports carry two blind spots. They read each report in isolation, ignoring how a patients disease changes across visits, and they are evaluated only on cancer types present in their training data. We present the Hierarchical Temporal Transformer (HTT), a two-level architecture that addresses both. Level 1 encodes each report with BiomedBERT adapted by low-rank adaptation (LoRA). Level 2 is a temporal transformer that reads a patients full report sequence using a continuous-time positional encoding built from the measured number of days between visits, with
Occamy-1.0: Open Pareto-frontier 35B Intelligence for Co-work
arXiv:2609.11977v1 Announce Type: new Abstract: Co-work agents execute complex workflows that combine information gathering, tool use, coding, and file manipulation across many model invocations. Because cost and latency accumulate over the full episode, their practical value depends not only on peak capability but also on how efficiently that capability is delivered. Yet many steps in everyday work emphasize state tracking, coordination, recovery, and follow-through rather than frontier-scale reasoning. We present Occamy-1.0, a cost-efficient co-work model obtained by further training the po
GPT-6 Astra proves the core is nonempty in approval-based committee elections
On 10 September 2026 Becker, Greger, and Dominik Peters posted a proof that every approval-based committee election has a core-stable committee. They attribute the primary idea and proof to GPT-6 Astra in a lengthy interactive session. Epoch marked the FrontierMath Open Problems item Solved (human + AI).
OpenAI reports a forced Navier–Stokes singularity matching Clay C and D
On 8 September 2026 OpenAI published a 166-page writeup and Lean formalization arguing that a smooth, finite-energy 3D Navier–Stokes flow starting from rest, under a smooth force, blows up in finite time. That is Clay statements C and D, which have been part of the official Millennium Problem since Fefferman’s formulation. The search model was an unreleased internal system; GPT-6 Astra did the Lean step. Clay wrote on 11 September that the problem has “apparently been settled,” with formal evaluation still to come.
Buckmaster and Alpöge, using Sol and Claude, prove smooth-forced blowup for Euler, IPM, and Boussinesq
On 8–11 September 2026 Tristan Buckmaster and Levent Alpöge released Lean-backed finite-time blowup results with smooth forcing for incompressible porous media, 2D Boussinesq, and 3D Euler, crediting Anthropic’s Claude and especially OpenAI’s GPT-5.6 Sol. Astra was used only for writeups and auditing.
GPT-6 Astra improves short and large prime-gap bounds
On 3 September 2026 OpenAI released GPT-6 Astra with two analytic number-theory results: a proof that infinitely many consecutive primes differ by at most 186, and an improvement to a large-gap bound that had been stuck for more than 80 years.
Pre-release GPT-6 Astra solves five Bloom-curated Erdős problems in Lean
On 1 September 2026 Epoch AI reported that a pre-release GPT-6 Astra system was the only model to score on FrontierMath Erdős, a Lean benchmark of 68 significant unsolved Erdős problems. It solved problems 74 and 126 under the official $300 protocol, and problems 1, 548, and 571 in extra attempts.
GPT-6 Astra posts ten Lean-certified advances across math and TCS
On 1 August 2026 OpenAI released a paper and Lean repo of ten results from GPT-6 Astra, then still in development, spanning sphere packing, codes, non-sofic groups, Connes rigidity, circuit lower bounds, quantum parallel repetition, CVP hardness, Ehrhart volume, and Erdős problems 183, 146, and 180.