OpenAI's GPT-6 Astra, rolling out Thursday, outperforms Anthropic's Claude Fable 5.1 on most leaked benchmarks, including a 97.6% score on FrontierMath Tier 4 (v2) versus Fable 5.1's 87.8%, with OpenA…
OpenAI has announced GPT-6 Astra, a major upgrade to ChatGPT and Codex, calling it 'the world's most intelligent and aligned model.' The model scores 98% on FrontierMath Tier 4, 99.9% on ARC-AGI-3, an…
A viral claim that OpenAI's GPT-6 Astra scored 98.6% on the ARC-AGI-3 benchmark is unsupported by verified evidence, according to Crypto Briefing. The current top score on ARC-AGI-3 is Anthropic's Cla…
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 …
OpenAI released GPT-6 Astra on September 3, 2026, priced at $10 per million input tokens, $1 per million cached input tokens, and $50 per million output tokens, with a 1,050,000-token context window. …
Anthropic's Claude Fable 5.1 scores 97.5% on ARC-AGI-1 Semi-Private at $1.40 per task and 90.0% on ARC-AGI-2 Semi-Private at $4.49 per task at max effort, according to results published by Anthropic o…
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…
INT21's SwarmOS infrastructure orchestration platform achieved a 100% RHAE score on the ARC-AGI-3 Public benchmark using only GPT-5.6-Sol, up from the model's official 13.3%, a 7.5x improvement, and a…
Nvidia CEO Jensen Huang claimed during a March 2026 Lex Fridman podcast that the company has achieved artificial general intelligence, defining AGI as an AI capable of building a tech company valued a…
A single Pi session using gpt-5.6-sol achieved 100% scores on all 25 environments and 183 levels of ARC-AGI-3, spending $1,349 on the model over 22.4 hours with about four minutes of human keyboard ti…
Nvidia researchers reported on August 21 that wrapping Anthropic's Claude Opus 5 in a system called AVO (Agentic Variation Operators) lifted its score on the ARC-AGI-3 benchmark from 30.2% to a perfec…
NVIDIA's general-purpose coding agent AVO scored a perfect 100.00 RHAE on the ARC-AGI-3 public set, clearing all 183 levels across 25 environments with no instructions, rules, or stated goals, while C…
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…
Nvidia Corp. published research showing that the 'harness' wrapping an AI model can drive double-digit benchmark gains while halving token costs, and released an open-source framework called NOOA (NVI…
Nvidia published research on Friday showing that a custom harness with a supervisor component enabled Claude Opus 5 to achieve a 100% score on the ARC-AGI-3 benchmark, compared to 30% without the harn…
NVIDIA's AVO coding-agent system scored 100% on the public ARC-AGI-3 benchmark, completing all 183 levels in 6,624 environment actions, according to NVIDIA AI. The system, powered by Claude Opus 5, us…
Nvidia's AVO agent, powered by Anthropic's Claude Opus 5, achieved a 100% success rate on the ARC-AGI-3 benchmark, completing all 183 levels across 25 environments on August 21 while using 12% fewer a…
NVIDIA's AVO coding agent scored 100% on the ARC-AGI-3 interactive reasoning benchmark, completing all 183 levels across 25 public environments without instructions or explicit goals.…
NVIDIA's Agentic Variation Operators (AVO) architecture achieved a 100% score on the ARC-AGI-3 benchmark, demonstrating a frontier-level general-purpose architecture for long-horizon autonomous agents…
NVIDIA's AI safety and security teams outlined where security should live in an AI agent stack, emphasizing that infrastructure controls, not behavioral controls, are authoritative in determining what…