Dan Kondratyuk @hyperparticle
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, CA Joined March 2015-
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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-…
If you want to take part in using our systems or help us build them, consider reaching out!
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.
@alex_whedon Let me guess, you're already thinking of breaking the 100M token context barrier :)
@willccbb If you make compaction differentiable, maybe you can learn the optimal compaction strategy across most tasks you care about
@JiaweiYang118 Nice result. Makes me wonder what is the "ultimate form" of loss we should be optimizing
@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.
Phoenix J. MA @PhoenixJMA1
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Adithya S K @adithya_s_k
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Vai Viswanathan @vai_viswanathan
1K Followers 495 Following building with world models 🌎 exploring @southpkcommons computer vision @ https://t.co/QJrkahGGVy founder @canaryaero
abdel @AbdelStark
32K Followers 6K Following Head of Applied AI & Verifiable Intelligence @StarkWareLtd. STARK proofs, AI Safety, World Models & Physical AI / Robotics. Math scale, Goodwill doesn't.
Advaith Sridhar @advaith_sridhar
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Peter Gostev @petergostev
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Robert Scoble @Scobleizer
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Chenfeng_X @Chenfeng_X
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Rex Cheng @hkchengrex
343 Followers 522 Following RS @LumaLabsAI | PhD @IllinoisCDS | prev Intern @metaai, @SonyAI_global, @KaiberAI, @AdobeResearch | Kurisu #1 fan
Michael Tu @tuzhucheng
337 Followers 2K Following Research Scientist/Engineer @LumaLabsAI. Prev. Research Engineer @Netflix, ML Engineer @apple. @UWaterloo grad.
Zhicheng Sun @feifeiobama
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Robin Rombach @robrombach
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Xinchen Yan @skywalkeryxc
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Ayush Shrivastava @ayshrv
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Aleks Shar 🇺🇦�... @aleks_sharik
485 Followers 2K Following Make GPUs go BURR @AMD - 🩻 AI Startups - Healthcare & Sciences 🦆 SCO DUCKS 🪶✝️ Opinions are my own
Vivian @7yGXhZ4rC5V80uG
154 Followers 6K Following The question isn’t who’s going to let me; it’s who’s going to stop me.
Zhengyang Qi @qi_zhengyang
804 Followers 5K Following Research @SnorkelAI | Previously: @Scale_AI Multiturn RL, reward modeling, interactive environments, artificial social intelligence
Sarah @l5ZjsNqX9dLHHw4
186 Followers 6K Following I am not a product of my circumstances. I am a product of my decisions.
Phoenix J. MA @PhoenixJMA1
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Shizhe Diao @shizhediao
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Joe Fenton @JoeFenton
1K Followers 2K Following Data and evals for AI // prev: founding team @inflectionai, PM @googledeepmind, VC at Invoke Capital and astrophysicist
Yingwei Li @yingwei_li
241 Followers 142 Following Research Scientist @Waymo | Previously: @JohnsHopkins Fudan NTU | Ex-Intern: @GoogleAI @Waymo @tiktok_us @TuSimpleAI
Katie Lewis Grumman @KatieLewisMIT
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Kate Kurth @KateKurth
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Kai Han @kaihan_x
2K Followers 629 Following Computer Vision || Asst. Prof. @HKUniversity | Ex-{Researcher @GoogleAI, Asst. Prof. @BristolUni, Postdoc @Oxford_VGG, @UniofOxford}
Yash Bhalgat @ysbhalgat
2K Followers 1K Following Gemini Omni @GoogleDeepMind PhD @Oxford_VGG. Past: Senior RS @Qualcomm AI Research, @UMich, @iitbombay
Nadav Timor @NadavTimor
1K Followers 8K Following AI inference, speculative decoding, open source. Built novel decoding algorithms – default in Hugging Face Transformers (155+ ⭐). Making AI faster + cheaper
Rex Cheng @hkchengrex
343 Followers 522 Following RS @LumaLabsAI | PhD @IllinoisCDS | prev Intern @metaai, @SonyAI_global, @KaiberAI, @AdobeResearch | Kurisu #1 fan
Colin Gardiner @ColinGardiner
5K Followers 2K Following Marketplace geek. Backing early marketplace/nfx founders as the GP of @yonderventures. Built @Outdoorsy @Tripping @ancestry @justanswer.
Jason Yeh @jayyeh
15K Followers 835 Following I run open office hours for founders to get fundraising questions answered (totally free) Prev: @greycroftvc @harvardhbs Pod: @fundedpod Now: @adamantfounders
Neil Nie @neil_nie_
1K Followers 605 Following Building @VerneRobotics | ex Robot Learning @StanfordSVL @StanfordAILab | ex Vision Pro @Apple
Ziwei Liu @liuziwei7
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Paul Graham @paulg
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Chris Rockwell @_crockwell
687 Followers 691 Following AI Scientist @Roblox | Video world models Previously founding team at Morpheus AI | PhD @UmichCSE
Yoko @stuffyokodraws
13K Followers 2K Following Cartoonist, Engineer, PM, Partner @a16z investing in infra & AI Prev Product lead @HashiCorp, Founding Eng/PM @Transposit. Eng @AppDynamics. Opinions = own.
Dar Mehta @dar_mehta
527 Followers 592 Following building @_CausalLabs; prev @cruise, @waymo, @GoogleBrain, kiyo robotics (YCS20), @RealityLabs, @uwaterloo
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David @DavidSHolz
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#CVPR2026 @CVPR
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Vincent Sitzmann @vincesitzmann
19K Followers 312 Following Building AI that learns by interacting with the world. Assistant Professor @ MIT, leading the Scene Representation Group (https://t.co/h5gvhLYZj4).
Matthias Niessner @MattNiessner
47K Followers 309 Following Professor for Visual Computing & Artificial Intelligence @TU_Muenchen Co-Founder @synthesiaIO Co-Founder @SpAItial_AI
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