deep-learning
This was a paper I presented about in Bang Liu’s research group meeting on 2023-09-25. You can view the slides I used here.
I presented this paper in Bang Liu’s research group meeting on 2023-07-24. You can view the slides I used here.
It seems like the authors made a mistake that inflated the scores for the multilingual experiments, according to Ken Schutte.
On 2022-11-03 a class action lawsuit was announced against GitHub Copilot on the basis of copyright infringement, and now (2023-01-13) there’s one for stable diffusion (against StabilityAI and friends). Browsing through r/StableDiffusion, I’m seeing lots of posts like this making the very memeable point that 5 billion images can’t be stored in a 4 GB model. From the original poster:The thumbnail for this post was generated with stable diffusion. See the alt text for details. Yes, I’m not great at this.
Read moreI presented this paper in Bang Liu’s research group meeting in two installments on 2023-02-20 and 2023-02-27, and also in Irina Rish’s scaling and alignment course (IFT6760A) on 2023-03-07. You can view the slides I used here.The thumbnail for this post was generated with stable diffusion! See the alt text for details.
Behind each vision for ethically-aligned AI sits a deeper question. How are we to decide which principles or objectives to encode in AI—and who has the right to make these decisions—given that we live in a pluralistic world that is full of competing conceptions of value? Is there a way to think about AI value alignment that avoids a situation in which some people simply impose their views on others?
Read moreThis was a paper we presented about in Irina Rish’s neural scaling laws course (IFT6760A) in winter 2023. You can view the slides we used here, and the recording here (or my backup here).