regalalgorithm
regalalgorithm t1_j0x25ax wrote
Reply to comment by iamgianluca in [D] Will there be a replacement for Machine Learning Twitter? by MrAcurite
For those considering a move to sigmoid.social, some info:
- It is run/administered by The Gradient (thegradient.pub). Disclaimer - I am part of the team.
- It has about 5500 active users currently, including some notable folks like Karpathy and AK
- It is funded by users on Patreon
- There is a detailed code of conduct on the about page.
Final note: I don't think it's a 1-1 replacement for Twitter. Twitter's Algorithmic feed is great for encouraging discovery of new stuff and seeing new memes. Mastodon's smaller scale and non algorithmic feed encourages a more community vibe with everyone's voice having equal weight. It's possible to use both (which I do - following the drama on Twitter is just too addictive).
regalalgorithm t1_j0ww7iy wrote
Reply to comment by mileseverett in [D] Will there be a replacement for Machine Learning Twitter? by MrAcurite
The way Mastodon does threads is kind of annoying yeah. But Twitter is way buggier than Mastodon. And if you think ML/AI Twitter didn't post "garbage" on Twitter, I have some news for you... It's an inclusive server, anyone interested in AI can join and we don't force anyone to only post about AI.
regalalgorithm t1_j0tie0w wrote
Reply to comment by MardiFoufs in [D] Will there be a replacement for Machine Learning Twitter? by MrAcurite
What you are seeing is the explore tab, which is all of Mastodon, not just sigmoid.social. Sigmoid Social content is over at the local timeline. There is some chatter about it on there too, but it's not really the main thing, here are some examples of recent posts:
>i was so sleepy i ended up falling asleep after extra time and I was so confused when I woke up and each side had an additional goal and France lost the world cup
>Fourier Sensitivity and Regularization of Computer Vision Models https://openreview.net/forum?id=VmTYgjYloM
>Some like to think that we're a trillion data points away from general artificial intelligence. Some like to think that we're some hundreds or thousands of algorithms away. I like to think that we're only several truly profound insights away. But these aren't mutually exclusive.
>The primary reason we don't yet see current AI as sentient is because there is no "goal" module. Once AI is infused with something that makes it "want", then it will appear very sentient to us.
Also, a TON of people migrated to Mastodon today due to Twitter drama, so it makes sense there is a lot of discussion about it.
Submitted by regalalgorithm t3_ym6j8h in MachineLearning
regalalgorithm t1_itadgfz wrote
Check out The Gradient!
Also, Davis Summarizes Papers is awesome.
regalalgorithm t1_je1eu1e wrote
Reply to [N] OpenAI may have benchmarked GPT-4’s coding ability on it’s own training data by Balance-
FYI, the GPT 4 paper has a whole section on contamination in the appendix - I found it to be pretty convince. Removing contaminatimg data did make it worse at some benchmarks, but also better at others, and overall it wasn't a huge effect.