Ask HN: Recommendation for a SWE looking to get up to speed with latest on AI
11–20 of 97 posts
Re: Ask HN: Recommendation for a SWE looking to get up to speed with latest on AI
#12Github blog: https://github.blog/ai-and-ml/ Cursor blog: https://www.cursor.com/blog
Re: Ask HN: Recommendation for a SWE looking to get up to speed with latest on AI
#13Swyx also has a lot of stuff keeping up to date at https://www.latent.space/, including the Latent Space podcast, although tbh I haven't listened to more than one or two episodes.
Re: Ask HN: Recommendation for a SWE looking to get up to speed with latest on AI
#14As I was building up my understanding/intuition for the internals of transformers + attention, I found 3Blue1Brown's series of videos (specifically on attention) to be super helpful.
Re: Ask HN: Recommendation for a SWE looking to get up to speed with latest on AI
#15Then spin up a RAG-enhanced chatbot using pgvector on your favourite subject, and keep improving it when you learn about cool techniques
Re: Ask HN: Recommendation for a SWE looking to get up to speed with latest on AI
#16- https://www.youtube.com/@aiexplained-official - https://www.youtube.com/@DaveShap - https://www.youtube.com/@TwoMinutePapers/videos
Then newsletter AI supremacy
Re: Ask HN: Recommendation for a SWE looking to get up to speed with latest on AI
#17I don't think it's a good idea to kepp up to date at a daily/weekly cadence, unless you somehow directly get paid for it. It's like checking stocks daily, it doesn't lead to good investment decisions. It's better to do it more batchy, like once every 6-12 months or so.
How do you do that? Once you're out of the loop for half a year, it becomes harder to know what's important and what's not, I think.
Waiting 3-6 months to take a deep dive is a good pattern to prevent investing your time in dead-end routes.
Re: Ask HN: Recommendation for a SWE looking to get up to speed with latest on AI
#18Then find a small dataset and see if you can start getting close to some of the reported benchmark numbers with similar architectures.