News for hackers. Stuff that matters.

fewald_net

In Go it’s not uncommon to use code generation to recreate boilerplate code, especially before the introduction of generics. No human looks at this usually. And if they do, they find the code they’re looking for contained in a few files. I personally found this pattern pretty good and easy to reason about.
Re:LLMs aren't "trained on the internet" anymore on Sunday June 02, 2024 @10:33AM (#40554494)
Thank you for sharing the link. I got curious and clicked on one. They want programming skills and pay “up to $30/h”.
I had a similar experience with a BMW. The rain sensor in every car after that has been much worse.
I know it says no SEO, but you could actually create preview pictures for movies so that when a link gets shared the showtimes show up directly in iMessage or any other messaging platform. Of course only relevant until the showtimes change.
I found that the maximum number of hours I could do something productive was 6 hours while being in college. After this I was able to keep going but with diminishing returns. Nowadays it’s hard for me to find even a 6 hour block (while employed).

The best advice I heard is to treat interviewing like a full time job with lunch break and a defined end.

Re:Photos of Silicon Valley on Wednesday January 31, 2024 @12:50PM (#39206943)
I love the photos. I think they capture those places pretty well.
Re:Leased solar systems are failing across America on Thursday September 28, 2023 @12:11PM (#37691700)
I am thinking about installing solar. Do you have any resources to learn about panels etc?
While reading this I had a feeling this article is mixing revenue and profits. Revenue can be up even if there are losses.
Thank you very much!
So many animation on this website.
Re:Bell Labs Holmdel Complex on Sunday July 16, 2023 @01:27PM (#36749460)
This building reminds me of one of the ones from the University of Freiburg, Germany: https://ais.badische-zeitung.de/piece/07/58/57/cf/123230159-...

Google: KG 2 Uni Freiburg

Do you know a good source to get started? I am curious about the technology but never have had the time to actually get started.
Yes, I am using it on a not so small dataset (roughly 1 million docs) and the output is a fairly efficient model. I am using gensim with pre-trained word vectors. New docs can be inferred via .infer_vector().

Overall my approach is less automated than what I have seen in your codebase so it’s likely a bigger investment. I am happy to share more.

Great project. I learned about the faiss library. Out of curiousity, did you also try it with doc2vec?
Second Apple Maps. It has gotten quite good over the years and uses also less battery than google maps.