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  "text": "Can an AI agent run a startup for a year without going bankrupt?\n\nTurns out most can't.\n\nNew benchmark from Collinear AI puts 12 models to the test.\n\nYC-Bench tasks agents with running a simulated startup over hundreds of turns: hiring employees, selecting contracts, and maintaining profitability in a partially observable environment with adversarial clients and compounding consequences.\n\nOnly three models consistently surpass the $200K starting capital. Claude Opus 4.6 leads at $1.27M average final funds, followed by GLM-5 at $1.21M with 11x lower inference cost.\n\nScratchpad usage, the sole mechanism for persisting information across context truncation, is the strongest predictor of success.\n\nAdversarial client detection accounts for 47% of bankruptcies. Long-horizon coherence, not raw intelligence, separates the winners from the bankrupt.\n\nPaper: https://t.co/jVJLJReUsN\n\nLearn to build effective AI agents in our academy: https://t.co/1e8RZKs4uX",
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