Co-Founder at https://t.co/PTCss7iltZ. Prev. Research Scientist at @LumaLabsAI (Realtime Video World Models, Ray), @GoogleAI (VideoPoet). Let's automate research!hyperparticle.com Mountain View, CAJoined March 2015
This is incredibly cool! An OS that is entirely simulated by a model. This shows glimpse of how world models might look like in the future. Any idea can transform into any app.
youtu.be/z3pV6FHvcgM
If we push this thought to the extreme, the ultimate form of a world model might resemble something like an operating system. It can simulate any type of computable program, running its own set of programmable neural processes to accurately represent any kind of environment.
@baaadas@LumaLabsAI It was really fun working with you Jiaming, we truly built some amazing things together. Wish you all the best on your next adventures!
I'll be at @CVPR in Denver next week, presenting a talk on world models on Tuesday. If anyone wants to chat during the conference, just shoot me a message.
wangywust.github.io/cvpr-tutorial-…
Our bet is simple: by 2030, most ML research won’t be done one hand-run experiment at a time, but researchers will direct large fleets of models to propose experiments, launch runs, debug failures, and come back with evidence. And that's what we're building at rekursiv.ai.
I've started a new company, rekursiv.ai, as a co-founder with my good friend Josh Dillon.
We're currently building teams of autonomous AI Scientists which are running experiments and discovering new knowledge.
The initial prototype discovered a new algorithm and wrote a paper, which you can read about in our blog: rekursiv.ai/blog. We're now scaling this prototype up, testing it in our own research workflows to automate much of the grunt work. Even when we sleep, our system proposes new ideas, sets up experiments, compiles results, and discovers new insights which inform the next round of discovery.
Coding agents are great at writing new code, but pretty bad at deleting code. It's what inevitably leads to a lot of bloat over time. Deleting code is the halmark of a great senior engineer, i.e., one that can write the least amount of code to get the job done. In my mind that's what's missing to make them robust at building good software.
@vai_viswanathan I like to think of world models as simulations of some environment, able to represent what comes next.
Most commonly it's seen as something visual or tangible (video/3D/robotics/etc), but perhaps LLMs that simulate OS (e.g., shell envs) might also be considered as world models.
When I ask people what they mean when they are working on "World Models", I get a very different response every time. It's always fun trying to see all varied and different perspectives.
As with any new software, it's still going to have some rough edges.
But I put a lot of checks/manual reviews in place to make sure the code quality is to a good standard: 90+% test coverage, fully typed, docstrings that explain intent, and lots of examples.
Technically it did take another half day to polish things up, but the core implementation was fully operational in just a few hours.
Software package: github.com/rekursiv-ai/co…
Blog post: rekursiv.ai/blog/i-built-c…
I wanted to speedrun how fast I could OSS a complete Python package that solves a non-trivial, important job, and I managed to pull it off in about a day.
I've never felt so productive writing software, especially complete packages. The most joy I've felt in a long time.
The cost of software is starting to get really cheap. What took an entire dev team months can soon be accomplished with a single determined person. I suspect we're going to start seeing a proliferation of apps with weird and crazy ideas that wouldn't have been tried until now.
One thought that scares me a bit: the proliferation of "AI Viruses": tiny coding agents which can break into unsecured systems, replicate themselves, and adapt/mutate over time. And like real viruses, might hide, spread repeatedly like a botnet and impossible to fully eradicate.
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