161–170 of 173 posts
I only used OpenAI to determine location and then some (failed) analysis of candidate’s HN comments. The rest of the tools I wrote didn’t need LLMs (just string matching).
Earlier quoted context omitted.
React has already jumped the shark, people just haven't realized it yet. The backlash will be big. I think most people will jump to Preact or Vue.
The standard tech cycle: 1. Awesome new tech, 2. Tech gets more and more popular, 3. Tech gets more and more features to better cope with new use cases, 4. People get sick of bloat and create awesome new tech to replace it, 5. Go to 1.
In 5 years time earnest conversations will be had about trying to find somebody who is willing to maintain the thing, or do we have resource for a complete rewrite?
This seems like a great blend of LLM and classic analysis. I've recently started thinking that LLMs (or other ML models) would be fantastic at being the interface between humans and computers. LLMs get human nuance/satire/idioms in a way that other NLP approaches have really struggled with. This piece highlights how ML is great at extracting information in context (being able to tell whether it's go the language or g…
I would say they're very bad at inferring any sort of complicated nuance.
Earlier quoted context omitted.
I don’t understand the downvotes. Chairman of the federal reserve stated that jobs are overstated. https://www.federalreserve.gov/mediacenter/files/FOMCprescon...
You got downvoted for saying that BLS is intentionally lying about jobs numbers. That’s what “cooking” means in this context and it is a big accusation. The Fed chair’s statement you cite doesn’t support it. He’s just saying that the jobs numbers may not be perfectly representing the actual job market. That is not exactly news; it’s a very hard thing to measure. He’s not accusing the BLS of lying.
This seems like a great blend of LLM and classic analysis. I've recently started thinking that LLMs (or other ML models) would be fantastic at being the interface between humans and computers. LLMs get human nuance/satire/idioms in a way that other NLP approaches have really struggled with. This piece highlights how ML is great at extracting information in context (being able to tell whether it's go the language or g…
> I've recently started thinking that LLMs would be fantastic at being the interface between humans and computers Join the club :) I'd say that's a pretty mainstream idea right now. Exciting nonetheless
I personally would like AI to help humans be better humans, not try to replace humans. Instead of using AI to create less understanding with black box processes, I'd rather it help us with introspection and search (I think embeddings[1] is still a pretty killer feature that I haven't heard much noise about yet).
[0] https://news.ycombinator.com/item?id=21786547 [1] https://terminusdb.com/blog/vector-database-and-vector-embed...
Earlier quoted context omitted.
React has already jumped the shark, people just haven't realized it yet. The backlash will be big. I think most people will jump to Preact or Vue.
More details are welcome. React seems to be doing fine and why Preact and not Solid for example?
If Tamer is reading this, I know of opportunities in NYC for sharp ML people. Feel free to drop me a line at b7r6@b7r6.net and I’ll be more than happy to make an introduction or two. NYC clearly doesn’t have the level of activity in this area that the Bay does, but there’s a scene. LeCun and the NYU crowd and the big FAIR footprint create a certain gravity. There’s stuff going on :)
I'd hire him if the conversation for the last question I asked went something like this. Me: On your first day of work, what would you say to me if I asked you to do the samething in your writeup but in production and at scale using the same third party services (chatgpt etc) you used in your writeup. T: "You're an idiot. I quit." Me: You're hired! Clearly it's a fun exploratory excercise, kind of like using kafta in…