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This paper examines whether language models can independently discover the concept of zero as a form of out-of-distribution generalization, finding that GPT-2 sized models cannot at test time but improve with training on examples of zero, and that language pretraining reduces the number of required examples.
Chris Tate at Vercel is developing Zero, a programming language designed specifically for agents as first-class citizens, aiming for maximum efficiency.
Primeagen critiques the new 'agent-first' programming language Zero, calling it unnecessary and a marketing exercise.
Vercel released Zero—a new programming language designed for AI agents, making side effects explicit, memory predictable, and compiler output structured, enabling AI agents to read, fix, inspect, and ship small native programs.