In r/LocalLLaMA, a benchmark frames LLMs as autonomous operators managing a simulated company over hundreds of turns, emphasizing delayed feedback, tool like decision making, and cost performance comparisons against frontier models.
We built YC-Bench, a benchmark where an LLM plays CEO of a simulated startup over a full year (~hundreds of turns).
It manages employees, picks contracts, handles payroll
Feedback is delayed and sparse with no hand-holding.
GLM-5 nearly matched Claude Opus 4.6 at 11× lower cost.
This finding is one of many signals tracked across Artificial Intelligence. The live feed updates every few hours with new expert voices, debates, and emerging ideas.
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