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Ask HN: Recommendation for a SWE looking to get up to speed with latest on AI

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Re: Ask HN: Recommendation for a SWE looking to get up to speed with latest on AI

#42

Post by fourside »

aaronrobinson wrote: post #35

What a goldmine of recommendations. I like Sam Witterveen’s YouTube stuff for keeping up to speed https://m.youtube.com/@samwitteveenai

My issue with YouTube channels that focus on AI news is that they’re heavily incentivized to give you a frequent stream of attention-grabbing news. Week-by-week updates aren’t that helpful. It’s easy to miss the bigger picture and there’s too much content to feel like a good use of time.

Re: Ask HN: Recommendation for a SWE looking to get up to speed with latest on AI

#43

Post by BillFranklin »

I read about 30 LLM papers a couple months ago dated from 2018-2024. Mostly folks are publishing on the “how do we prompt better” problem, and you can kind of get the gist in about a day by reading a few blogs (RAG, fine tuning, tool use, etc). There is also more progress being made for model capabilities, like multi modality, and each company seems to be pushing in only slightly different directions, but essentially they are still black boxes.

It depends what you are looking for honestly “the latest things happening” is pretty vague. I’d say the place to look is probably just the blogs of OpenAI/Anthropic/Genini, since they are the only teams with inside information and novel findings to report. Everyone else is just using the tools we are given.

Re: Ask HN: Recommendation for a SWE looking to get up to speed with latest on AI

#44

Post by mindcrime »

Lots of good suggestions here already. I'd start by adding one quick note though. "AI" is more than just LLM's. Sure, the "current, trendy, fashionable" thing is all LLM's, but the field as a whole is still much larger. I'd encourage you to not myopically focus on LLM's to exclusion. Depending on your existing background knowledge, there's a lot to be said for going out and getting a copy of Artificial Intelligence: A Modern Approach and reading through it. Likewise for something like Hands-On Machine Learning with Scikit-Learn, Keras, and Tensorflow.

Beyond that: there are some decent sub-reddits for keeping up with AI happenings, a lot of good Youtube channels (although a lot of the ones that talk about the "current, trendy" AI stuff tend to be a bit tabloid'ish), and even a couple of Facebook groups. You can also find good signal by choosing the right people to follow on Twitter/LinkedIn/Mastodon/Bluesky/etc.

https://www.reddit.com/r/artificial/

https://reddit.com/r/machineLearning/

https://www.reddit.com/r/LLM/

https://www.reddit.com/r/agi

https://www.reddit.com/r/ollama/

https://www.youtube.com/@matthew_berman

https://www.youtube.com/@TheAiGrid

https://www.youtube.com/@WesRoth

https://www.youtube.com/@DaveShap

https://www.youtube.com/c/MachineLearningStreetTalk

https://www.youtube.com/@twimlai

https://www.youtube.com/@YannicKilcher

And you can always go straight to "the source" and follow pre-prints showing up in arXiv.

https://arxiv.org/corr

For tools to make it easier to track new releases, arXiv supports subscriptions to daily digest emails, and also has RSS feeds.

https://info.arxiv.org/help/subscribe.html

https://info.arxiv.org/help/rss.html

There are also some bots in the Fediverse that push out links to new arXiv papers.

Re: Ask HN: Recommendation for a SWE looking to get up to speed with latest on AI

#45

Post by A4ET8a8uTh0 »

fallinditch wrote: post #37

New short course on FreeCodeCamp YouTube channel looks good - Ollama Course – Build AI Apps Locally https://youtu.be/GWB9ApTPTv4?feature=shared As an aside, does anyone have any ideas about this: there should be an app like an 'auto-RAG' that scrapes RSS feeds and URLs, in addition to ingesting docs, text and content in the normal RAG way. Then you could build AI chat-enabled knowledge resources around specific subje…

I am not aware if that exists yet, but the challenge I see with it is rather simple: you get overwhelmed with information really quickly. In other words, you would still need human somewhere in that process to review those scrapes and the quality of that varies widely. For example, even on HN it is not a given a link will be pure gold ( you still want to check if it fits your use case ).

That said, as ideas goes, it sounds like a fun weekend project.

Re: Ask HN: Recommendation for a SWE looking to get up to speed with latest on AI

#46

Post by Der_Einzige »

Workaccount2 wrote: post #21

The localllama subreddit, although focused mostly on open source locally run models, still has ample discussion of SOTA models too. https://old.reddit.com/r/LocalLLaMA/

Sadly, you'll have to include 4chan /g/'s local models general, which, unfortunately, seems to have top AI researchers posting there (anonymously)

Re: Ask HN: Recommendation for a SWE looking to get up to speed with latest on AI

#47

Post by SoftTalker »

pilotneko wrote: post #17
Luc wrote: post #6

Earlier quoted context omitted.

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.

Every release is novel. Once something has been around for a while and is still being referenced, you know it’s worth learning. Waiting 3-6 months to take a deep dive is a good pattern to prevent investing your time in dead-end routes.

Yes this is why I never buy the latest CPUs and try to never run the latest release of any software. Stay a (supported) release or two behind the bleeding edge, and you'll find stuff is more stable. Common bugs and other issues have been shaken out by the early adopters.

Re: Ask HN: Recommendation for a SWE looking to get up to speed with latest on AI

#48

Post by senko »

I follow these:

* Matt Berman on X / YT

* AI-summarized AI news digest: https://buttondown.com/ainews by swyx

* https://codingwithintelligence.com/about by Rick Lamers

Then I manually follow up to learn more about specific topic/news I'm interested in.

Re: Ask HN: Recommendation for a SWE looking to get up to speed with latest on AI

#49

Post by handzhiev »

For news-like content I follow accounts on X: @kimmonismus @apples_jimmy and the accounts of Antropic, Mistal, Gemini / DeepMind and OpenAI. I think everyone who is really interested in the hot AI developments must also follow what comes from China. I follow https://chinai.substack.com/ but I am open to hear about other Chinese resources.
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