[mitchellgoffpc]

Some neat results from the last six months or so:

- Significantly-improved diffusion models (DALL-E 2, Midjourney, Stable Diffusion, etc)

- Diffusion models for video (see https://video-diffusion.github.io/, this paper is from April but I expect to see a lot more published research in this area soon)

- OpenAI Minecraft w/VPT (first model with non-zero success rate at mining diamonds in <20min)

- AlphaCode (from February, reasonably high success rate on solving competitive programming problems)

- Improved realism and scale for NeRFs (see https://dellaert.github.io/NeRF22/ for some cool examples from this year’s CVPR)

- Better sample efficiency for RL models (see https://arxiv.org/abs/2208.07860 for a recent real-world example)

[riku_iki]

> - AlphaCode (from February, reasonably high success rate on solving competitive programming problems)

reasonably high was 50% on 10 attempts, meaning success rate on first attempt can be as low as 5%, out of which who knows how many were leaked to training data.

[IceHegel]

This would basically be my list.

I'd add GPT3 & Github Copilot, which my team and I use professionally. It's far from perfect, but it's a great GSD tool especially for stuff like Regex, bash scripts, and weird APIs.