1 link tagged with all of: ai-inference + structured-output + model-architecture + latency + system-one
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Jev is a new AI model that only outputs structured data instead of human language, making it dramatically faster (70-500ms vs seconds) and enabling real-time applications like playing Doom. The author argues this speed advantage could become a new computational primitive for AI, though he suspects competitors can replicate it using simpler inference tricks on existing models.
- Jev generates all structured output in a single forward pass instead of token-by-token, achieving 70-500ms response times compared to seconds for standard LLMs, fast enough to play real-time video games.
- The speed advantage likely doesn't require novel model architecture—you can achieve similar results by prefilling responses and generating only one constrained token with existing LLMs, suggesting Jev lacks a substantial technical moat.
- Structured output could unlock entirely new use cases beyond chatbots by injecting "100ms worth of dirt-cheap intelligence" at decision points throughout applications, though Jev won't match frontier LLMs in raw capability.
ai-inference
structured-output
model-architecture
latency
system-one