• 1 Post
  • 72 Comments
Joined 9 months ago
cake
Cake day: January 20th, 2026

help-circle
  • Similar field, similar experience. I think it’s easy to sleep on how much LLMs can help your work if you’re just using chatbots- because those give incorrect answers so often that most interactions end up being a waste of time.
    But if you give the model tools to test its answers, and prompt it in a way that restricts responses to tool outputs instead of generated answers, suddenly the many mistakes are less of a problem. It wrote a function with 5 bugs that did the wrong thing to begin with? and then it caught all of those mistakes in testing and fixed them, and it took 6 seconds, so it doesn’t really matter. Maybe that’s how I write a function in my head too, I just think through the most obvious issues before typing the code and testing it.
    The high level planning still needs frequent and detailed instructions, otherwise it tends to go down the wrong rabbit holes.

    Setting up the environment took some time, bit since I started using claude code I actually started to go through my tech debt backlog, because fixes that used to mean I have to take a day off, I now take 5 minutes to write down the issue and the scope of the fix, and 10 minutes to watch it being fixed. I am pretty sure I will stop writing code in a year or two maximum. I am slightly worried what happens to the codebase if prices of tokens get out of control, but I guess local models could help as long as you have the hardware.





  • That is, randomly mixed up statements from a few different Reddit threads completed with hallucinated info and delivered with total confidence. Perfect, if you don’t need correct information, just some text.
    However, if you need information, now you either scroll through the summary and start glancing through the top results, or you start reading the summary, hover over the “sources “, guess which one may the statement actually come from, read it, and check it the source seems valid and the summary is accurate.
    I’d argue that the summary is a net negative under both scenarios. It would be great to get quicker answers, if you could trust it, but because you can’t, it’s not.




  • It is outright ridiculous to say that undergraduate degrees are standard and one would get similar education out of MIT and Oklahoma State University. The professors are not the same, the facilities are not the same, and the peers are not the same. May I ask: are you making this shockingly incorrect statement after completing an undergrad degree at MIT or Stanford or similar school, and being disappointed in it?








  • I didn’t read the article, but from the summary, it’s not obvious which humans wrote the stories. Famously, the ability of humans for writing is not the same for everyone. The average person writes like shit. The average writer writes kind of ok. The top few percentile of writers write really well, and the rest of humans like to read what those writers write. So if in the study, they asked a 6 year old, a plumber, and an accountant for a story, I completely understand that ai rated better. But even then, I would rather read 10 bad stories by random people than 10 passable-appearing ai stories.