
7 tips for evaluating AI agent benchmarks
Seven checks for comparing agent benchmarks: task unit, sample size, generalization, test conditions and score limits.
252 artigos por Marcelo Santiago

Seven checks for comparing agent benchmarks: task unit, sample size, generalization, test conditions and score limits.

NVIDIA adds four Cosmos3-Nano checkpoints for automotive and robotics simulation. See capabilities, requirements, license and limits.

AI2 introduces ToyBlocks, a simulation environment with four tasks to study generalization and physical transfer in robotics.

Codex 0.167.0 adds an agent hub in the terminal, highlights unread results and preserves drafts when switching backends. See what changes.

On the tau2-Bench Airline leaderboard from November 6, GPT-5.1 scored 80.0%. Learn about the method, minimum sample size and limitations before choosing an agent.

Anthropic analyzed 207,049 scientific sessions in Claude and Claude Code and separated observed usage from productivity projections.

Learn about NVIDIA Auto Ontology, an Apache 2.0 repository for giving semantic context to agents and the security considerations before adopting it.

Kimi K3.1 Pro and ERNIE 5.5 arrived with public weights; Axion, Shackleton and ORO expanded the open movement and agent infrastructure.

Google announced Gemini Omni 1.2 Flash on November 5, with video generation up to 15 seconds and sequential edits in the creative flow.

Baidu released ERNIE 5.5 Flash Base on November 5. The checkpoint has 280 billion parameters and self reported results on 30 benchmarks across seven categories.

OpenAI unveiled GPT-6 Cyber on November 5 for approved organizations. See what the tests measure, their limits, and the access conditions.

Planner, Generator and Healer split test creation in Playwright. See how to review the results and the caveat about the Docker image v1.64.1.
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