Comment by throwaway290

Comment by throwaway290 2 days ago

And to all the LLM heads here, this is his work process:

> Yesterday I was browsing for a Deep Q Learning implementation in TensorFlow (to see how others deal with computing the numpy equivalent of Q[:, a], where a is an integer vector — turns out this trivial operation is not supported in TF). Anyway, I searched “dqn tensorflow”, clicked the first link, and found the core code. Here is an excerpt:

Notice how it's "browse" and "search" not just "I asked chatgpt". Notice how it made him notice a bug

stingraycharles 2 days ago

First of all, this is not a competition between “are LLMs better than search”.

Secondly, the article is from 2016, ChatGPT didn’t exist back then

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code51 2 days ago

I doubt he's letting LLM creep in to his decision-making in 2025, aside from fun side projects (vibes). We don't ever come across Karpathy going to an LLM or expressing that an LLM helped in any of his Youtube videos about building LLMs.
He's just test driving LLMs, nothing more.
Nobody's asking this core question in podcasts. "How much and how exactly are you using LLMs in your daily flow?"
I'm guessing it's like actors not wanting to watch their own movies.

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- mquander 2 days ago
  
  Karpathy talking for 2 hours about how he uses LLMs:
  https://www.youtube.com/watch?v=EWvNQjAaOHw
  
  Reply View | 12 replies
  
  code51 2 days ago
  
  Vibing, not firing at his ML problems.
  He's doing a capability check in this video (for the general audience, which is good of course), not attacking a hard problem in ML domain.
  Despite this tweet: https://x.com/karpathy/status/1964020416139448359 , I've never seen him citing an LLM helped him out in ML work.
  
  Reply View | 11 replies
- confirmmesenpai 2 days ago
  
  > Continuing the journey of optimal LLM-assisted coding experience. In particular, I find that instead of narrowing in on a perfect one thing my usage is increasingly diversifying
  https://x.com/karpathy/status/1959703967694545296
  
  Reply View | 0 replies
- danielbln 2 days ago
  
  https://news.ycombinator.com/item?id=45788753
  
  Reply View | 0 replies

confirmmesenpai 2 days ago

what you did here is called confirmation bias.

> I think congrats again to OpenAI for cooking with GPT-5 Pro. This is the third time I've struggled on something complex/gnarly for an hour on and off with CC, then 5 Pro goes off for 10 minutes and comes back with code that works out of the box. I had CC read the 5 Pro version and it wrote up 2 paragraphs admiring it (very wholesome). If you're not giving it your hardest problems you're probably missing out.

https://x.com/karpathy/status/1964020416139448359

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away74etcie 2 days ago

Yes, embedding .py code inside of a speedrun.sh to "simplify the [sic] bash scripts."
Eureka runs LLM101n, which is teaching software for pedagogic symbiosis.
[1]:https://eurekalabs.ai/

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