> Zero is aiming for a language an agent can learn while working: regular syntax, few special cases, and compiler feedback that points toward the next edit.
Why? Why should an agent learn while working when there are already-familiar languages with most of the logics embedded in the model and with much better ecosystem?
At the moment Zero doesn't look compelling enough to use it over other more familiar languages. They need benchmarks to show that it has a substantial advantage over other languages (10x more performant, 10x less security vulnerabilities, 10x more maintainable, etc) because at the moment to main sell is that it slightly reduces token consumption and makes the error output slightly nicer.
The only language that needs to be designed is a Just-In-Time declarative DSL for the domain you're building for in a way that the users will understand it and be able to express precisely the degrees of freedom they need. Goodluck getting an llm to find that and you cant give up and give them a general purpose programming language to build it themselves.
Then build something that compiles that declarative spec to orthodox programming languages.
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[ 2.6 ms ] story [ 21.0 ms ] threadWhy? Why should an agent learn while working when there are already-familiar languages with most of the logics embedded in the model and with much better ecosystem?
Then build something that compiles that declarative spec to orthodox programming languages.