ramadis

built a weird little library last friday night. it uses LLMs to auto-generate JavaScript class methods at runtime; no need to define the method ahead of time—just decorate your class, call whatever you want, and the model figures it out on the fly.

it uses `Proxy`s, and pipes the class definition and the call example to the LLM for it to generate a valid method.

of course it was not built for production use, but it was a fun exploration. would love to hear your thoughts!

It'd be helpful if they exposed a summary of the chain-of-thought response instead. That way they'd not be leaking the actual tokens, but you'd still be able to understand the outline of the process. And, hopefully, understand where it went wrong.

Chill?

Just to add to the reply, the AdS/CFT correspondence (aka Maldacena duality) was proposed by Juan Maldacena, one of the authors of this paper (Humanly traversable wormholes).

I felt the same way about Netflix when it first started. Now, there are dozens of competitors with different catalogues, making piracy enticing for people once again.

mtailor and their fancy body measurement algorithm.

> Is it valuable enough that you'd consider paying for access?

I'd argue that people would pay for MDN. I know I would pay a small fee for so high-quality straight forward information on web APIs.

My country (Argentina) has a lottery(esque?) approach to giving work visas for the US, so basically: even with company support, work visas are subject to probability (~30% chance of getting it for a given year). Do you have experience, or do you know, how companies handle hires from countries with this methodology?

Thanks for doing this AMA!