Ask HN: Good Sites for/with AI Enthusiasts?

126 pointsposted 2 years ago
by wruza

Item id: 41579134

59 Comments

reinaldnaufal

2 years ago

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

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

khafra

2 years ago

Recommending Gwern on any technical topic is practically cheating; he always has in-depth, impeccably referenced overviews, complete with experiments he has done.

For deep learning in particular, I will add Neel Nanda's interpretability work: https://www.neelnanda.io/mechanistic-interpretability

joenot443

2 years ago

He's the best writer online. If you're reading this Gwern, know that you're greatly admired.

Two_hands

2 years ago

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

freeqaz

2 years ago

Reading through this now. Really appreciate the knowledge sharing!

Your content is amazing and with some more polish I feel like it would really shine! (Some sentences not flowing quite right is a little confusing for me, reading the GAN deep dive)

Two_hands

2 years ago

Hey, thanks for your feedback, I'm glad you're finding it interesting!

Noted I am quite new to writing like this, where exactly was it confusing? I'll definitely take this on board and try to increase the clarity in my writing.

MaxPimento

2 years ago

Neat ! Bookmarked :)

input_sh

2 years ago

You've created an account just for this two word comment?

Totally not suspicious.

Two_hands

2 years ago

Fwiw I didn't create that account, I didnt notice it was so new earlier. It is a bit weird though

chrisweekly

2 years ago

random tangent: I like your input.sh website

ed

2 years ago

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.

antimemetics

2 years ago

Any discords you recommend?

kouteiheika

2 years ago

> use tensorflow

I think you meant TensorBoard?

ed

2 years ago

yep!

_giorgio_

2 years ago

http://x.com

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

crimsoneer

2 years ago

I hate that this is true, but it is. If you want ot keep up to date with news, following on X + hanging around on discord is the way.

dweinus

2 years ago

A site run by a fascist transphobe? Hard pass.

dagelf

2 years ago

But you're happy living in a country built on the bones of ??? run by warmongering ???

grayxu

2 years ago

r/LocalLLaMA

postalcoder

2 years ago

LocalLlama is the place. Really high quality people and discussion there and surprisingly collaborative. Very different than most subreddits.

TNWin

2 years ago

How is /r/machinelearning

ratedgene

2 years ago

good but not as community-oriented I'd say as locallama

the machinelearning subreddit has a lot of great experts there.

/r/learnmachinelearning isn't moderated well enough

vid

2 years ago

I like LocalLLaMA because it's not just for algorithm/math experts, it's for people who want to use LLMs locally (as the name says), so there is often practical discussion on how to use "off the shelf" models and kits. This also implies a patient crowd who will sometimes go into great detail about specific details, since there are many non-specialists.

alfanick

2 years ago

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

trustno2

2 years ago

I think that's what OP is not interested in

olalonde

2 years ago

Indeed, OP's "disinterested" list matches LessWrong almost perfectly.

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

Vecr

2 years ago

Isn't it pretty niche to not want discussions of winter or alignment? I guess you can go read Nick Land? If there's not at least a mini-winter or alignment some time soon it's going full Nick Land, right?

What I mean is, Nick Land is the only person I know of who can at least sort of credibly claim to have a theory for why alignment isn't just not guaranteed, but is in fact impossible, and there's ~no chance of a lasting winter.

trustno2

2 years ago

what

OP wants technical discussions

Vecr

2 years ago

Even then isn't it irresponsible to avoid talk about progress from other labs vs the probability of winter? Either way you could get wiped out hard, investment wise and product/startup wise.

sumnole

2 years ago

Huggingface community

hunterhod

2 years ago

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.

user

2 years ago

[deleted]

paraschopra

2 years ago

I like Machine Learning Street Talk discord server.

bbyford

2 years ago

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

gom_jabbar

2 years ago

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/

Vecr

2 years ago

Not really not "eats us all, not a human" though. Do OP's requirements really make sense?

beeboobaa3

2 years ago

Just simulate your own with some LLMs?

user

2 years ago

[deleted]

1oooqooq

2 years ago

ask chatgpt about your favorite research echo chamber