dartos

44 ms·

871.
by dartos 2y ago
…no…
872.
by dartos 2y ago
I’ve noticed LLMs quickly turn to pulling in dependencies and making complicated code
873.
by dartos 2y ago
Assuming both mediums are reasonably well represented in the dataset, which brings me back to my comment
874.
by dartos 2y ago
They literally invented the term GPT… “Transformer” is the name of the algorithm behind popular LLMs. GPT is the name that openai gave to their models early on.
875.
by dartos 2y ago
Imo real tech debt is when the separation between business logic and implementation details get blurry. Rewrites tend to focus all in on implementation.
876.
by dartos 2y ago
> AI works really well on very legacy codebases like cobol and mainframe Any sources? Seems unlikely that LLMs would be good at something with so little training data in the widely available internet.
877.
by dartos 2y ago
And growth. It’s a pretty bad signal if your series B startup isn’t hiring actively all the time.
878.
by dartos 2y ago
That’s what they thought in 2021. Now that money isn’t free, they think the problem is too many engineers.
879.
by dartos 2y ago
Yeah well what do recruiters know about software development? They just know the keywords the EMs and C suite sent them in the headcount request.
880.
by dartos 2y ago
GPT-based isn’t really a thing outside of openai (it’s just the commercial name for their models) But I believe we’re confident that all major models are causal transformer models right now. No reason to believe otherwise. If one of them wa
881.
by dartos 2y ago
FWIW the prevalent “I’m bad at math” vibe has a lot to do with how math is taught vs like English or science
882.
by dartos 2y ago
> But the reason you are choosing things on Amazon is because of fulfillment software, advertising software, logistics software, that specifically the manufacturers of those products have all mastered. Just tacking on the word “software”
883.
by dartos 2y ago
> software engineers are sometimes so enamored with computers they can have a weird cognitive distortion where they see computers as everything (so a computer is the solution to every problem Does your pet theory extend beyond the adage
884.
by dartos 2y ago
Maybe I’m cynical, but “innovated” and implementing classic growth and marketing tactics aren’t the same.
885.
by dartos 2y ago
Hey now. It’s only indentured servitude
886.
by dartos 2y ago
Bureaucracy is fine as long as it’s _my_ bureaucracy
887.
by dartos 2y ago
FWIW, kagi uses bing under the hood.
888.
by dartos 2y ago
A lot of complexity in that “start hammering” bit.
889.
by dartos 2y ago
That’s just plain not true.
890.
by dartos 2y ago
I don’t think anyone is trying to keep bright kids down, but you need to ask. Is it worth it to spend monumental effort trying to get not very bright children to meet some minimum requirement OR is it more worth it to just encourage and lif
891.
by dartos 2y ago
It’s almost like people are different, right? lol In my experience, a lot of really fit engineers see it as another optimization problem, which is an interesting way to look at working out. I’ve been trying to adopt that mindset.
892.
by dartos 2y ago
I miss the 2000s procedural sci fi detective shows. I have fond memories of watching Fringe and Eureka with my dad.
893.
by dartos 2y ago
I recently started a blog after having the same feeling for years. What changed for me was accepting that my posts aren’t going to be polished and it’s okay if they don’t front page HN. I just jot down notes, organize them in an outline and
894.
by dartos 2y ago
Only 2B? I kind of feel like Microsoft got ripped off now.
895.
by dartos 2y ago
It’s a ton of knowledge , but not gatekept behind degrees or anything. Like web development, you can learn much of it by reading freely available documents, blog posts, and white papers. (Tho it’s much more math heavy. Mostly trig and very
896.
by dartos 2y ago
This is correct
897.
by dartos 2y ago
They are different. They’re backed by amazon instead of Microsoft
898.
by dartos 2y ago
Wow… why’d you get so defensive and presumptuous? I have my opinion, it’s just not the same as yours.
899.
by dartos 2y ago
> Sure but it's not high at all. It depends. For a sysadmin maybe not, but for data scientists, the bar would be pretty high just to understand the math jargon. > If perplexity can tell you exactly what to do 90% of the time with
900.
by dartos 2y ago
I haven’t built engineering teams, but I’ve been in the server programming field for 15 years. I have tried Claude (with aider) for programming tasks and have been impressed that it could do anything (with handholding) but haven’t been conv

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