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FastContext introduces specialized exploration models that separate repository exploration from code solving in LLM agents, reducing token consumption by up to 60% while improving resolution rates on software engineering benchmarks.
Modal announces that AppliedCompute is using its platform to train custom agent workforces for companies like DoorDash, Mercor, and Cognition, highlighting the shift from frontier models to specialized models.
A perspective piece advocating for a future of specialized AI models developed by obsessive, customer-focused teams, highlighting companies like OpenEvidence, SchoolAI, Lovable, Harvey, Boltz, and Notion.