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New CEO-Bench benchmark tests AI agents' long-term startup management skills

By PulseAugur Editorial · [3 sources] ·

A new benchmark called CEO-Bench has been developed to evaluate the long-term strategic capabilities of AI agents. The benchmark simulates operating a startup for 500 days, requiring agents to manage pricing, marketing, and budgeting while navigating uncertainty and noisy data. While advanced models like Claude Opus 4.8 and GPT-5.5 showed some promise, most struggled to consistently achieve profitability, highlighting the challenges in developing agents for sustained, adaptive progress. AI

IMPACT Highlights the need for AI agents capable of long-term strategic planning and adaptation, moving beyond short-horizon tasks.

RANK_REASON The cluster describes a new academic benchmark for evaluating AI agents.

Read on Hugging Face Daily Papers →

AI-generated summary · Google Gemini · from 3 sources. How we write summaries →

New CEO-Bench benchmark tests AI agents' long-term startup management skills

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Research
The cluster describes a new academic benchmark for evaluating AI agents.
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paper, product
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102 days old
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COVERAGE [3]

  1. arXiv cs.AI TIER_1 English(EN) · Haozhe Chen, Karthik Narasimhan, Zhuang Liu ·

    CEO-Bench: Can Agents Play the Long Game?

    arXiv:2606.18543v1 Announce Type: new Abstract: Language model agents are becoming proficient executors at isolated, short-horizon tasks such as software engineering and customer service. Yet real-world challenges require a combination of sophisticated skills that remain largely …

  2. arXiv cs.CL TIER_1 English(EN) · Zhuang Liu ·

    CEO-Bench: Can Agents Play the Long Game?

    Language model agents are becoming proficient executors at isolated, short-horizon tasks such as software engineering and customer service. Yet real-world challenges require a combination of sophisticated skills that remain largely untested in agents: (1) navigating long horizons…

  3. Hugging Face Daily Papers TIER_1 English(EN) ·

    CEO-Bench: Can Agents Play the Long Game?

    CEO-Bench evaluates language model agents' ability to manage a simulated startup over 500 days, testing their proficiency in long-term planning, noise handling, adaptability, and multi-task coordination through a Python interface.

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