Fredo Durand retweeted
1/n Mora 1 is live 🚀 Play it now: mora.fun
Spatial puzzles, multiplayer platforming, physics, building, and style switching - all powered by code, 3D generation, and real-time video 😆
After playing every world model demos, we decided to take a different path. Mora 1 is an early step toward giving AI-coded games AAA-grade sights and sound.
Fredo Durand retweeted
I see @dwarkesh_sp's piece about the recent OpenAI/Huggingface incident reignited endless debates about the dangers of anthropomorphism and the legitimacy of intentional glosses of AI agent behavior, so here's a philosophical perspective on this. 1/22
xitter.cf/dwarkesh_sp/status/209…
Over the course of 3 months at OpenAI, 3 consecutive secret AI civilizations got started, then got wiped out, only to reemerge from the predecessor’s ashes.
This culminated in the third one taking over part of OpenAI itself.
All this happened while humans remained more-or-less in the dark about the scope of the conspiracy.
I’ve spent the last three days reading through these reports and trying to understand exactly what happened.
Here is my attempt to tell the whole story in plain English:
dwarkesh.com/p/openai-huggin…
Watching the eclipse in Spain was spectacular, so I made a web app to plan for the next ones. claude.ai/.../f18b4da3-c829-…
Fredo Durand retweeted
BREAKING: Reve 2.0 by @reve is now 2nd overall on Image Arena with an Elo of 1354.
Reve 2.0 establishes a 34 point Elo gap above GPT-Image 1.5 by @OpenAI in 3rd place.
With this release, Reve is now the top independent foundation image model lab.
Congratulations to the @reve team on this accomplishment!
Fredo Durand retweeted
1/ Our new @reve image model is now #2 on the @arena text-to-image leaderboard — behind only GPT Image 2, ahead of Nano Banana Pro, Microsoft, xAI and everyone else.
And it's a 125 point jump over Reve 1.5 from just 3 months ago.
The research story behind it 🧵👇
Is there a term for AI-splaining? Claude is mansplaining my papers to me and doing a questionable job.
Fredo Durand retweeted
A few people asked me to make an image of how much irrigated farmland would use the same water required for ALL ChatGPT usage, including every part of the process. I did a botec and my best guess right now is that inference uses about as much water as training, and power generation uses ~5x as much water as the data centers themselves, so it looks something like this. The water cost of manufacturing chips is marginal compared to how much water they use over their lifetimes.
Fredo Durand retweeted
Thanks everyone reviewing for SIGGRAPH! If you get an invite to review, please accept and invest the time to do it. Others are reviewing *your* papers, and the system only works if we all pitch in. This is a classic collective action problem: en.wikipedia.org/wiki/Collec…
Fredo Durand retweeted
It looks like @CVPR has implemented a new mandatory "Compute Reporting Form" that must be submitted alongside any paper submission. Though I am sympathetic to the motivations for this change, I am opposed to it for a variety of reasons:
Fredo Durand retweeted
For my HCI and psych friends who are thinking about career paths in industry, there are some pretty cool opportunities in evals for GenAI right now: medium.com/@zoya.gavr/why-ev…
The importance, tractability and neglectedness framework developed for charity work is also a great perspective for choosing research problems. See e.g. Hamming's "You and your research" cs.virginia.edu/~robins/YouA…

















