@SurajChawh79862 Hey! Check out the tutorial on the Unreal Commuity Forums, feel free to DM if you have any issues with the workflow. https://t.co/ULRu2kPOjg
Here's a look at how Epic's artists approach concept work. From blank canvas to final concepts, they sketch, block out, and refine using traditional tools and evolving ones like Nano Banana, with the artist’s vision driving the ever-evolving process from start to finish.
https://t.co/dQnR9OsQJp
We are seeking an Expert UE5 lighting specialist for a short-term remote consulting engagement to review our fully dynamic day-night lighting setup and help align the project's visual presentation with the Game Director's artistic vision. .@gtsplayground DM me!
“Computer science researchers and legal experts call this the “Algorithmic Self,” in which identity is co-constructed not through reflection but through recommendation loops and outsourced introspection.”
https://t.co/jjOkfGtnDF
@suekhim I think most people have to carry deep skepticism about AI and also carry the exciting opportunities created by AI. Projects like this reconcile that in an optimistic way.
This indie dev is making a hide-and-seek game where you literally paint your own body to blend into the environment
- Your artistic skills are key to survival
- Pose to blend in
- Up to 10 players in public or private matches
Would you play this? It's called MECCHA CHAMELEON.
I promise this will be the best 20 min you spend today! Robotics: Endgame, the sequel to my last year's Sequoia AI Ascent talk, "Physical Turing Test". I laid out the roadmap for solving Physical AGI as a simple parallel to the LLM success story. Be a good scientist, copy homework ;)
And stay till the end, more easter eggs and predictions for your polymarket!
00:30 DGX-1 origin story at OpenAI, I was there in 2016 signing with Jensen and Elon. Heading to the Computer History Museum!
01:42 The Great Parallel
03:31 Robotics, the Endgame
03:39 Why VLAs fall short
04:32 Video world models as the 2nd pretraining paradigm
06:09 World Action Models (WAM)
07:46 Strategies for robot data collection and the FSD equivalent to physical data flywheel for robot manipulation
11:06 EgoScale and the Dexterity Scaling Law we discovered recently
14:00 Physical RL: bridging the last mile
15:39 DreamDojo: an end-to-end neural physics engine for scaling RL in silico
17:00 Civilizational Technology Tree and my predictions for the near future. Spoiler: it's closer than you think.
Thanks to my friends at Sequoia for inviting me back to AI Ascent this year! I had a blast! Last year's talk is attached in the thread if you missed it.
What is missing to bring real-time motion research into AAA games and real-world robotics?
We present MotionBricks, a step toward bridging this gap with two key components:
- a single generative latent motion backbone covering 350,000+ motion skills, running at 15,000 FPS with 2 ms latency and substantially improved quality and reliability.
- a unified smart primitive interface for locomotion, object / scene interaction, with fine-grained control over generated behaviors.
Webpage: https://t.co/aJE5skUuWD
Code: https://t.co/r56D3TJ8CW
Paper: https://t.co/CtOHXnHZMv (ACM TOG / SIGGRAPH 2026)