Users praise GPT-5.6's new record on the Agents' Last Exam Benchmark as a promising workflow upgrade that validates outcome-based grading for agent evaluations.
Based on 3 visible X reactions from 6 accounts; directional sample.
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🚀 This feels like OpenAI's biggest workflow upgrade yet, not just another model release. With Sol pushing the frontier, Terra balancing performance and cost, and Luna optimizing speed, the focus is shifting from benchmark wins to real productivity. The real question is whether multi-agent workflows can consistently save hours not just seconds. #OpenAI #GPT56 #AI #GenAI
@dawnsongtweets outcome-based grading is the only way to make agent evals actually useful. you nailed it.
@dawnsongtweets looks very promising
🎉 Congrats to OpenAI on GPT-5.6's strong performance on Agents' Last Exam! We created Agents' Last Exam (ALE) to provide realistic, reproducible evaluations and continuous public measurements of frontier AI agents on economically valuable, real-world work across broad domains. ALE currently includes 1,500+ expert-sourced, long-horizon tasks spanning 55 non-physical occupations, contributed by 300+ experts from more than 100 institutions. All tasks are grounded in real professional work and evaluated with fully verifiable, outcome-based grading. It's exciting to see ALE becoming an important guidepost for frontier agent development—helping the community track progress, better understand emerging capabilities, and build AI systems that are increasingly reliable, capable, and useful in the real world. A huge thank you to the hundreds of experts and collaborators who have contributed to ALE. This is truly a community effort. We're continuing to expand the benchmark with new tasks and domains, and we'd love for more experts to contribute. Together, we can build an even stronger foundation for measuring progress toward capable, trustworthy Agentic AI. Submit your contribution: https://agents-last-exam.org/
The public benchmark evaluates AI agents on 1,500 expert-sourced professional tasks
Users praise GPT-5.6's new record on the Agents' Last Exam Benchmark as a promising workflow upgrade that validates outcome-based grading for agent evaluations.
Based on 3 visible X reactions from 6 accounts; directional sample.
Ask a question below.
Published answers will appear here.