platers

Karma: 46

platers 17 Oct 2025 13:28 UTC
5 points
0
in reply to: Raemon’s comment on: Raemon’s Shortform Feed
I’m a researcher at Suno, interpretability and control are things we are very interested in!
In general, I think music is a very challenging, low stakes test bed for alignment approaches. Everyone has wildly varied and specific tastes in music which often can’t be described in words. Feedback is relatively more expensive compared to language and images since you need to spend time to listen to the audio.
Any advances in controllability do get released quickly to a eager audience, like Studio. The commercial incentives align well. We’re looking for people and ideas to push further in this direction.

platers 14 Jun 2023 23:13 UTC
3 points
2
on: On the Apple Vision Pro
I’m very concerned about comfort. It looks much heavier than a quest 2 even with an external battery due to the glass and metal construction. If its also consuming double the watts as a quest pro, I worry about thermals. I cant see anyone wearing this for more than an hour due to weight and thermals.
The good news is this can be fixed by moving all the compute off the head into the battery pack. The bad news is apple hates wires, so it might never happen.
Some good analysis here https://kguttag.com/2023/06/13/apple-vision-pro-part-1-what-apple-got-right-compared-to-the-meta-quest-pro/

platers 27 Mar 2023 5:05 UTC
2 points
0
on: Pretraining Language Models with Human Preferences
Thanks for the post! You mention that its unlikely PHF is as sample efficient as RLHF, do you have plans to explore that direction? Most attributes we’d like to condition on are not trivially inferred, so labels are scarce or expensive to acquire. I’m interested in how alignment scales with the amount of labeled data. Perhaps this work could synergize well with TracIn or Influence Functions to identify examples that help or hurt performance on a small test set.

platers 15 Jul 2021 15:12 UTC
2 points
0
on: Experimentation with AI-generated images (VQGAN+CLIP) | Solarpunk airships fleeing a dragon
These are very impressive! It looks like it gets the concepts, but lacks global coherency.
Could anyone comment on how far we are from results of similar quality as the training set? Can we expect better results just by scaling up the generator or CLIP?

platers 15 Dec 2020 3:57 UTC
13 points
0
in reply to: Daniel Kokotajlo’s comment on: [link] The AI Girlfriend Seducing China’s Lonely Men
There is a paper describing the architecture https://arxiv.org/abs/1812.08989
It looks like the system is comprised of many independent skills and an algorithm to pick which skill to use at each state of the conversation. Some of the skills use neural nets, like a CNN for parsing images and a RNN for completing sentences but the models look relatively small.

platers 29 Oct 2020 14:58 UTC
1 point
0
in reply to: Scott Garrabrant’s comment on: What are good election betting opportunities?
Could you elaborate on step 4? How can you buy 10 shares of each bucket if you only have $10? Isn’t the total cost 14.80 * 10?

platers 22 Aug 2020 14:55 UTC
5 points
0
on: What posts on finance would your find helpful or interesting?
The best way to get leverage

platers 19 Aug 2020 15:47 UTC
3 points
0
in reply to: Wei Dai’s comment on: Tips/tricks/notes on optimizing investments
Second link broke, I believe it moved here https://www.optionseducation.org/referencelibrary/white-papers/page-assets/listed-options-box-spread-strategies-for-borrowing-or-lending-cash.aspx

platers 14 Aug 2020 21:19 UTC
4 points
0
on: How to Lose a Fair Game
There is a very extensive discussion of a UPRO/TMF strategy here. One thing to note is taxes severely decrease the returns of strategies which require frequent re-balancing.

platers 2 Aug 2020 0:24 UTC
1 point
0
on: Against Reopening Ottawa
Have you rechecked the data recently?

platers 27 Jul 2020 2:41 UTC
3 points
0
in reply to: Gordon Seidoh Worley’s comment on: Developmental Stages of GPTs
I see, thanks for clarifying!

platers 27 Jul 2020 0:46 UTC
4 points
0
in reply to: Gordon Seidoh Worley’s comment on: Developmental Stages of GPTs
Why do you think “lesser” AI being transformative is more worrying than AGI? This scenario seems similar to past technological progress.

platers 18 Jul 2020 22:56 UTC
13 points
0
in reply to: Raemon’s comment on: Collection of GPT-3 results
Here is the reverse: https://beta.openai.com/?app=content-consumption&example=5_2_0