TypeSafe AI celebrates CoreWeave hackathon winner using Jev model
Christian Jin won the 2026 contest by launching a virtual rocket with System One, describing it as fast, cheap, and smart.
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AI research lab for machine-native intelligence
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In short: TypeSafe AI emerged from stealth with $40M in seed funding and launched Jev, a high-efficiency model for calibrated decision-making.
Christian Jin won the 2026 contest by launching a virtual rocket with System One, describing it as fast, cheap, and smart.
The team invites users to join a Discord community while seeking talent through current open positions.
Jev offers parallel processing and calibrated decisions, boasting 400x speed and cost efficiency compared to traditional LLMs.
The blog post argues that choosing the right objective is more critical than compute or algorithms for building useful AI models.
TypeSafe AI, founded by former OpenAI researcher Diogo Almeida, is releasing a model that deliberately generates no text. Instead of chat responses, "Jev" delivers pure...
Former OpenAI researcher Diogo Almeida says most intelligence is going to live insider software. But to automate any real work, it has to be correct.
Jev is a System One model, which relies on a different architecture called Reinforcement Learning for Calibrated Decisions (RLCD). Diogo Almeida, co-founder and CEO of...
TypeSafe AI, a frontier AI lab building machine-native, composable AI, today emerged from stealth with $40 million in seed funding led by DCVC. Founded by...
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