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Benchmarks AI News & Updates

[Research Breakthrough] [SRC↗]

Nvidia Research Shows Agent Scaffolding, Not Model Choice, Drove a Perfect ARC-AGI-3 Score

Nvidia published research arguing that the "harness" surrounding a model — memory handling, tools, runtime, and a supervisory agent — matters more than the base model for long-horizon agentic tasks. Using a custom harnes...

[Agentic AI] [Nvidia] [Benchmarks] [ARC-AGI-3] [agent harness] [long-horizon reasoning]
Risk: [+0.08% ↑] [-1 days ↑]
AGI: [+0.06% ↑] [-1 days ↑]
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[Commercial Release] [SRC↗]

Google Releases Gemini 3.1 Pro, Achieving Top Benchmark Performance in AI Agent Tasks

Google has released Gemini 3.1 Pro, a new version of its large language model that demonstrates significant improvements over its predecessor. The model has achieved top scores on multiple independent benchmarks, includi...

[AI Agents] [Google] [Large Language Models] [Benchmarks] [model capabilities]
Risk: [+0.04% ↑] [-1 days ↑]
AGI: [+0.03% ↑] [-1 days ↑]
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[Research Breakthrough] [SRC↗]

Anthropic's Opus 4.6 Achieves Major Leap in Professional Task Performance with 45% Success Rate

Anthropic's newly released Opus 4.6 model achieved nearly 30% accuracy on professional task benchmarks in one-shot trials and 45% with multiple attempts, representing a significant jump from the previous 18.4% state-of-t...

[Anthropic] [AI Agents] [Benchmarks] [Foundation Models] [professional automation]
Risk: [+0.02% ↑] [-1 days ↑]
AGI: [+0.03% ↑] [-1 days ↑]
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[Research Breakthrough] [SRC↗]

Moonshot AI Launches Multimodal Open-Source Model Kimi K2.5 with Advanced Coding Capabilities

China's Moonshot AI released Kimi K2.5, a new open-source multimodal model trained on 15 trillion tokens that processes text, images, and video. The model demonstrates competitive performance against proprietary models l...

[Open Source] [Multimodal AI] [Benchmarks] [coding agents] [moonshot AI]
Risk: [+0.01% ↑] [0 days]
AGI: [+0.03% ↑] [-1 days ↑]
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[Research Breakthrough] [SRC↗]

New ARC-AGI-2 Test Reveals Significant Gap Between AI and Human Intelligence

The Arc Prize Foundation has created a challenging new test called ARC-AGI-2 to measure AI intelligence, designed to prevent models from relying on brute computing power. Current leading AI models, including reasoning-fo...

[Reasoning AI] [AGI Evaluation] [Benchmarks] [Intelligence Testing] [Efficiency Metrics]
Risk: [-0.15% ↓] [+2 days ↓]
AGI: [+0.02% ↑] [+1 days ↓]
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