@gabepereyra
building @harvey with my bud @winstonweinberg
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The reported MATH-500 score rose from 7.9% to 48.1% with the same sampling settings.
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Harvey's team says its agents draw on 44 demo flows and generate voiceovers with ElevenLabs.
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In an Oct. 21 post, @rronak_ attributes a “frontier-level capability” claim to Jensen Huang.
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A Harvey builder envisions shared workspaces for in-house and outside counsel, backed by a foundation that maintains ethical walls.
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A user says Codex reviewed all their tweets and analytics but still couldn't “write a banger,” prompting an exchange about optimization and AI-written personal communication.
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A hiring announcement for Harvey’s Private Model Program says the company has built its own model and now wants to help law firms do the same using private data.
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Gabe Pereyra credits product improvements and spending controls, saying Harvey kept serving what he calls the best models while helping customers transition to consumption pricing on a timeline that worked for them.
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A developer says their team’s review agents use original outputs, web search and other tools to check its systems’ work, with judgments that correlate strongly with expert lawyer review.
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Gabe Pereyra announced the hire, saying Sadovsky previously co-led post-training at Microsoft AI and Google DeepMind.
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Creator Diogo Almeida claims Jev is 20–200x faster and 40–400x cheaper, with free output tokens. Investor DCVC says it led TypeSafe’s $40 million seed round.
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A post says OpenAI told The New York Times it had made “substantial progress” on a Millennium Prize problem, while describing a Hodge Conjecture solution as a rumor.
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The post details early training of AI agents on synthetic legal data with dual memory systems.
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Gabe Pereyra described Harvey's moneyball approach during a Sequoia Sovereign AI talk.
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The dataset models a persistent legal work environment for testing AI agents.