HACKER Q&A
📣 wruza

Good Sites for/with AI Enthusiasts?


As an enthusiast sometimes I feel that I get stuck in a corner and could use some overview. A newsforum about AI engineering could help. E.g. most articles about practical things (think civitai guides), some articles dive deeper into how this tech works (think 3b1b). Do you know a good one?

I only google things and am not e-social, so may miss something obvious like “civitai’s good though, why” or “there’s tech jesus but for AI on YT”.

Interested: AI tech, SD inference and training, local LLM models and prompting/settings, VLMs, TTSs, other models, scripts, experiments, popsci.

Disinterested: CEO said, politics, winter, alignment, eats us all, not a human, etc.

I can provide my lora training and automation experience, for the most part (around 100 sd 1.5 loras, few versions each).


  👤 paulgb Accepted Answer ✓
Simon Wilson’s (simonw on here) blog is good, lots of good notes from someone who actively plays with a lot of LLMs.

https://simonwillison.net/


👤 FranklinMaillot
AI explained. It's a youtube channel that gives a nice in-depth overview of the latest papers in the field of LLMs.

https://www.youtube.com/@aiexplained-official

They also have a free newsletter and more behind a Patreon subscription.

https://signaltonoise.beehiiv.com/p/the-3rd-era-of-ai-langua...

https://www.patreon.com/AIExplained



👤 reinaldnaufal
https://gwern.net/#deep-learning

Gwern is the place for me. His deep dive on meta-learning is always interesting.


👤 Two_hands
Hey I have a blog site where I write about implementing different papers and doing deep dives on the papers!

https://ym2132.github.io

I try to go for those things you're looking for. It's hard to find good resources nowadays with real people behind them.

I hope you enjoy the posts. Feel free to reach out about anything on there


👤 ed
It’s a big field!

But if you’re in a few discords and a bunch of subreddits, you’re doing it right.

The most interesting stuff happens in GitHub PR’s, but you have to know where to look. Kohya’s misnamed SD3 branch has a ton of good flux hints, for example. It’s also where furkan gets pretty much all his content, before it gets paywalled.

Unfortunately, unless you participate full-time it’s hard to follow along. But if you really dig in and learn to modify your tooling (Comfy, kohya etc), you’ll start to come across some really impressive people who are all self-taught, and very accessible.

It’s totally possible to work your way up to the frontier with a few months of hacking. (And disposable income for GPU time.)

And the overlap between image AI’s and LLM’s is actually pretty great since they’re all transformers under the hood.

Civit, in my experience, is a good source for weights but most of the guides are written by people without much actual experience.

If you haven’t already, use tensorflow or wandb to get an intuitive understanding of your training parameters. It’s very easy to connect your tools to these services. This is by far the most helpful thing I’ve done, and something I really regret not doing sooner.


👤 _giorgio_
http://x.com

You can find 99% of companies and reasearchers. Just follow them. If you need some names, just ask!




👤 grayxu
r/LocalLLaMA

👤 ushakov
Go to one of the AI Tinkerers events in your area?

https://aitinkerers.org/p/welcome


👤 sva_
This one sends a fairly good (generated) summary each day:

https://buttondown.com/ainews


👤 keiferski
This is a pretty good weekly roundup of art-related developments:

https://aiartweekly.com/


👤 twp
Keep a broad perspective: https://pivot-to-ai.com/

👤 alfanick
https://www.lesswrong.com/ for HN-style longer AI-related posts, especially around alignment and consciousness

👤 ravix
This indy guy is ‘hands on’

https://youtu.be/GUVrOa4V8iE?si=OF1mLgWyr0tcrpBZ


👤 sumnole
Huggingface community

👤 hunterhod
Chipp AI public discord is pretty active and folks tend to talk about the latest stuff there. It’s a mostly non-technical crowd though.

👤 quitit
https://hype.replicate.dev/

Let me know if that’s a good fit.


👤 paraschopra
I like Machine Learning Street Talk discord server.

👤 bbyford
www.machine-ethics.net if you've interested in the ethics of AI

👤 gom_jabbar
Here's a primary literature review on Nick Land's thesis that AI and capitalism are teleologically identical and will converge on the event horizon of the techno-economic singularity.

It's AI hype to the max.

https://retrochronic.com/


👤 beeboobaa3
Just simulate your own with some LLMs?

👤 1oooqooq
ask chatgpt about your favorite research echo chamber

👤 anon1094
This is why I'm creating https://medium.com/ai-engineers to focus on the rising class of AI engineers and practical content for devs who want to use AI to build apps.