Let me explain why:
> the resulting compiled output is over 60kb, far exceeding the 32k code limit enforced by Linux
Seems like a failure to me.
> I tried (hard!) to fix several of the above limitations but wasn’t fully successful. New features and bugfixes frequently broke existing functionality.
This has code smell written all over it.
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Conclusion: this cost 20k to build, not taking into account the money spent on training the model. How much would you pay for this software? Zero.
The reality is that LLM are up there with SQL and ROR(or above) in terms of changing how people write software and interact with data. That's a big deal, but not enough to support trillion dollar valuations.
So you get things like this project, which are just about driving a certain narrative.