OpenAI's Astra has intensified the debate over whether AGI has arrived, with OpenAI president Greg Brockman personally believing AGI has been achieved, but benchmark results vary dramatically by confi…
OpenAI's GPT-6 Astra scored 62.7% on the ARC-AGI-3 benchmark under the Standard harness and 99.9% under the Provider Adapter harness, with identical weights and problems, according to ARC Prize. The P…
OpenAI's GPT-6 Astra has surpassed average human efficiency on the ARC-AGI-3 benchmark for the first time, prompting ARC Prize chief François Chollet to move up his AGI forecast, though he stops short…
ARC Prize reported that OpenAI's GPT-6 Astra scored 66% on the ARC-AGI-3 benchmark using a standard harness, and nearly 100% with a continuous conversation harness and custom compaction at a cost of r…
OpenAI's GPT-6 Astra scores 62.7% on the ARC-AGI-3 Semi-Private set using the Standard harness and 99.9% with a Provider Adapter harness, a major jump from GPT-5.6 Sol's 7.8%, according to ARC Prize's…
OpenAI's GPT-6 Astra achieved state-of-the-art results on the ARC-AGI benchmark, scoring 63% on ARC-AGI-3 and 99% via a new provider adapter harness, surpassing human performance on 96% of ARC-AGI-3 l…
OpenAI's GPT-6 Astra scored 62.7% for $26K on ARC-AGI-3 Semi-Private with the Standard harness and 99.9% for $19K with the Provider Adapter harness, surpassing the human baseline in action efficiency …
AWS engineers built an agent using Claude Opus 5 and the open-source Strands Agents SDK that achieved a 99.95% relative human action efficiency score on ARC-AGI-3's public game set, completing all 183…
ARC-AGI-3 benchmark scores vary by up to 70 points depending on the testing harness, with NVIDIA reporting Claude Opus 5 at 100.00% in late August versus the official ARC Prize verified score of 30.16…
A new analysis reveals that benchmark scores for ARC-AGI-3 vary by up to 70 points depending on the harness used, with the same model scoring 30.16% in the official harness and 100.00% in custom harne…
Nvidia reported a 100.00 RHAE score on the ARC-AGI-3 public set using its Agentic Variation Operators (AVO) system, up from Claude Opus 5's 30.16% published score, by wrapping the same model family in…
Anthropic's Claude Opus 5 scored 30.16% on the ARC-AGI-3 Public Demo set, according to ARC Prize results covered by TechTimes and Digital Applied, clearing five environments no AI model had previously…
Inkling Small, an open-weight model from Thinky, achieved the highest score among open-weight models on the ARC Prize leaderboard, nearly matching GPT-5.2 high. The ARC-AGI-3 evaluations are ongoing, …
OpenAI claims its GPT-5.6 Sol model scored 38.3% on the ARC-AGI-3 public set with two API settings enabled—retained reasoning and compaction—tripling its baseline score and surpassing Anthropic's Clau…
OpenAI claims its GPT-5.6 Sol model scored 38.3 percent on the ARC-AGI-3 benchmark, beating Anthropic's Opus 5, but only when using OpenAI's own API features and two additional settings; under the off…
Anthropic's Claude Opus 5 scored 30.16% on ARC-AGI-3 at high reasoning effort, surpassing the previous official record of 7.78% set by GPT-5.6 Sol at maximum effort. Anthropic released Opus 5 publicly…
Anthropic's Claude Opus 5 scored 30.2% on the ARC-AGI-3 benchmark, nearly quadrupling the previous record of 7.8% set by OpenAI's GPT-5.6 Sol, according to the ARC Prize team. The result marks the mos…
The ARC-AGI-3 leaderboard, released by the ARC Prize team, ranks AI systems on their ability to adapt to novel interactive environments, measuring performance against cost-per-task. The leaderboard sh…