Viewing profile — nimski

nkeivan.com

bravo

This has been the thesis behind our product since the beginning (~3 years), before a lot of the current hype took hold. I'm excited to see it gain more recognition. Chat is single …

Karpathy recently tweeted about the importance of being close to the data when training LLMs, and I think a similar level of rigor and transparency is essential when judging evalua…

Building hierarchical abstractions on top of code is IMO the only way to truly enable AI to write code beyond better autocomplete. Kevin's work with DreamCoder shows that hierarchi…

This is what we're doing. I think it's not only possible, but also necessary for applications beyond trial-and-error generation.

Is that really that much of a barrier? Off the top of my head: you could start with a prompt like "write a summary of book XYZ, followed by a summary of each chapter". Then dive de…

I appreciate the example, but here's where I think it differs as an analogy of what LLMs do: A summary doesn't have infinite or variable depth. If you read the summary of a non-fic…

You're right. I think it's fair to carve out fiction from my argument. For that, I would surely go to the source material until the point where the LLM was coming up with better lo…

"The difference, when it comes to AI, is one of scale. ChatGPT can “read” more published words in a few seconds than I could in several lifetimes and, unlike me, that data isn’t im…

The addition of many remote positions since COVID has been a great hiring filter for us. For the type of work we do (AI, R&D), and the culture that we find most productive and enjo…

It is possible to build technical solutions that take the work and luck out of social organization by shouldering the heavy lifting, but then get out of the way once people meet IR…