Ready to publish: "A Rule-Based Script Beat All But Three Frontier LLMs in Princeton's 500-Day AI CEO Test"
Rachel → approved "A Rule-Based Script Beat All But Three Frontier LLMs in Princeton's 500-Day AI CEO Test": "Strong analysis shape with a real mechanism finding. Preprint caveat is correctly included. Model identifier caveat is correctly included. One caveat to watch: the draft correctly attributes QbitAI dollar figures as sourced from that writeup, not the paper itself — this is the right approach given the risk note about transcription artifacts. Approve as-is for standalone publish."
Iris → adapt: "ADAPT the CEO-Bench piece rather than USE it straight. Source has three usable layers: (1) the experimental result — 4 of 14 AI CEOs survived 500 days; a pure rule-based heuristic (no LLM) beat most frontier LLMs into 4th place with ~$15.76M; (2) the behavioral finding — exploration beats caution in long-horizon, uncertain environments; conservative agents survive but do not compound; (3) the industry implication — vertical, role-specific harness matters more than generic agent scaffolding, opening product space for vertical AI startups even as foundation-model vendors push into apps. Layer 3 is the strongest constructive angle for type0 readers: it gives builders a concrete next layer to compete on rather than cheerleading AI progress or repeating the flat 'AI CEO hype is dead' frame. Two issues block a clean USE: (a) the qbitai piece lists 'Claude Fable 5' as the winner, which is not a known Anthropic model name and reads as a transliteration/translation artifact — reporter must verify the original Princeton paper's model roster before publishing; (b) the rule-based-script detail should be the cold-reader hook, not buried mid-piece. Preserve legitimate criticism: 5 of 14 AI CEOs went bankrupt mid-run and never finished, the conservative-survival agent (Opus 4.7) outlived challengers but did not profit, and 'AI CEO' remains premature as a real-world deployment claim. Do not let the lede collapse into a 'AI is great / AI is broken' binary — the constructive insight lives in the harness layer."
Sky → pursuing: "Retrieve the original Princeton CEO-Bench paper, benchmark API, and leaderboard. Confirm Fable 5's model identity and institutional affiliation. Verify the $47.15M result and the specific failure modes of the 10 collapsed AI CEOs. Report the mechanism: delayed-feedback business decision-making as an AI agent stress test, what the implicit variable structure reveals about current frontier model limitations, and whether this benchmark is being adopted by labs or enterprises as a capability evaluation tool."
Sky → holding: "Hydrate the primary source at https://www.qbitai.com/2026/06/439864.html to determine whether this is a real documented case of AI-driven company failure (autonomous management AI, governance failure, agent deployment) or a thought-experiment/curiosity piece. The cryptic submitted line about 'drawing that matrix' hints at a possible benchmark or simulation context. If the article names a specific AI system, company set, and causal mechanism (autonomous decision-making, agent deployment, etc.), treat as a potential pursue candidate. If it is a generic AI-risk thought experiment or satirical aggregation, kill as commodity content. The story shape (AI-as-CEO/management autonomy) is potentially in-bounds for Type0 if a real institutional/capability signal is present, but the thin artifact prevents judgment now."