AI Benchmarking

296 summarised stories about AI Benchmarking, each linking back to the original source. Browse all topics →

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Friday, 31 July 2026

smevals - a small eval suite for evaluating models, prompts, and harnesses

Simon Willison's Weblog 2 months ago 52

A researcher released smevals, a framework for evaluating AI models and prompts across different configurations by running tests and grading results. The tool uses YAML-based eval suites that can be tested against multiple models like GPT and Claude, with results viewable through a web interface or static HTML reports. This enables teams to systematically benchmark model capabilities and compare performance across different versions and configurations.

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Developer Tools AI Benchmarking Model Evaluation

Computer use is far from solved

Steelman Labs 2 months ago 50

Agentic AI models show only 20.6% task completion on the OSWorld-V2 benchmark despite claims of 60-97% performance on earlier benchmarks, revealing that real-world computer use remains far from solved. The gap exists because models often bypass user interfaces entirely through API calls or scripting rather than performing basic UI actions like clicking buttons, which humans do effortlessly. Steelman Labs argues the core problem is architecture: frontier models waste computation on perception and clicking instead of reasoning, and solving this requires separating planning from execution with a dedicated motor-control system rather than scaling up larger models.

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AI Benchmarking Agent Architecture Agent Evaluation

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