bodegajed

Thanks, I watched his presentation before but now I understand what it meant. I think we will have great software engineers who will take the black pill and it might just be temporary. The coding itch won't go away. AI slop is very exhausting and we are not used to this new environment they just need a break. I really miss working with them.

> birds that visited me

are you a disney princess?

I think Stanford students are not out of touch. Google has enough revenue to sustain itself but yet they decided to become an arms dealer. CEOs only care about the shareholder.

You can ban the math by limiting the energy and the material resources.

Can a programmer who has no personal feelings of attachment to slop, make it all the way to production and maintained?

cisco executives will be rewarded with fat bonuses soon!

Great article. If the author is browsing HN please hear me out. They say the pen is mightier than the sword. However the reason on why is not clear but I believe that because it can change minds. This article after re-reading possible changed my mind to abandon agentic coding!

thanks, I thought as a researcher Kaparthy would include and cite relevant papers. I quickly became disappointed. I already knew openevolve and the ACE Framework paper. This is the first time I learned about Genetic Algorithm and I now have some clear roadmap for studying.

Nice try boris

it is like reward hacking, where the reward function in this case the test is exploited to achieve its goals. it wants to declare victory and be rewarded so the tests are not critical to the code under test. This is probably in the RL pre-training data, I am of course merely speculating.

Even if you're a small vendor. You created an innovative product, and you tried to sell your product to a large company. Before you can be destroyed by simply showing the product to a multi-billion company. But now even medium sized companies can destroy you.

This is why I now check when I'm researching for a solution (that an LLM cannot figure out.) I go to github but often check if the project was created before 2022 due to AI slop concerns.

Yeah, it's kinda sad reality and I suddenly felt gloomy. Do you have a more optimistic view that you can share?

One reason, maximizing investor value. CEO and executives usually get bonuses after layoffs.

1.5B models can run on CPU inference at around 12 tokens per second if I remember correctly.