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Guanlan Dai (@guanlan)

@guanlan
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We’re spending up to 100B tokens across 26,040 agent runs to answer one question: when you switch models, should you switch harnesses too? Our v1.0 FrontierHarness leaderboard ranked harnesses on a single model. V1.1 expands it to 21 harnesses × 5 models × 62 tasks × 4 attempts, 72x the size of v1.0. Results are coming in live. Link below🧵
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Yes, we are hiring! We are building the execution layer for next billions of agents, and we are looking for high-agency engineers: Core Runtime (kernel-and-VMM-layer) Cloud Infra (IaC and multi cloud) Product Engineering (Agent Experience and DX) Small team. High talent density. High ownership. Apply here:
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Today we're announcing @runta's $20M seed, led by @a16z. Software is constrained when you write it. Agents have to be constrained while they run. Runta is the execution layer that controls what AI agents can actually do.
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