Video yükleniyor...

Video Yüklenemedi

Ana Sayfaya Dön

🔥 Today, we are truly excited to announce our technical prototype, the Generative World Simulation system, which integrates JING(镜), an interactive experience model, with DAO(道), a computable shared-world engine. The coupled model and engine connect first-person experience with a shared world that continues to evolve beyond any individual observer....

1,473,125 görüntüleme • 5 gün önce •via X (Twitter)

33 Yorum

XGEN Labs profil fotoğrafı
XGEN Labs5 gün önce

More on the technical thinking behind our generative world simulation approach, including JING and DAO: 📖 Read the full blog:

Sevan Bomar profil fotoğrafı
Sevan Bomar5 gün önce

I think we need to grow up as a species and start making things that will help the world before its gone.

Otto Gradkowski profil fotoğrafı
Otto Gradkowski4 gün önce

@_akhaliq These kinds of simulations will basically render GTA obsolete. If I can go around any world I construct and do anything I want, why the fuck would I play LBGTA: Girl Boss Edition? 😂

Lean profil fotoğrafı
Lean4 gün önce

Back in 2003, as an 11-year-old kid, I dreamed about this. Now, at almost 34, I’m so hyped to see how far we’ve come. You made a young boy really happy. I’m available as a beta tester if you need one! Love you guys!

火箭手Neo profil fotoğrafı
火箭手Neo5 gün önce

Naming the model JING and the engine DAO means when the simulation inevitably glitches, you can just blame it on Buddhist karma

Nisarg Bhatt profil fotoğrafı
Nisarg Bhatt5 gün önce

Has to be a top 3 demos I've watched

ST John profil fotoğrafı
ST John4 gün önce

Westworld?

JonRods profil fotoğrafı
JonRods4 gün önce

Simulating an evolving world that continues to exist and compute state changes independently of the observer is the real holy grail. This architecture feels less like generating next frames and more like building autonomous virtual societies. Congrats

Hari Dangi profil fotoğrafı
Hari Dangi5 gün önce

Is it real

Mawk profil fotoğrafı
Mawk5 gün önce

How is it shared? How is there persistence?

Cellarius profil fotoğrafı
Cellarius5 gün önce

In our occupation as reality creators our days millennia eternities will be spent constructing innumerable worlds for us to occupy, for our avatars to be trained in, for other world-creating immortals, for our created beings to evolve in.

山海AI profil fotoğrafı
山海AI4 gün önce

First-person perspective, interactivity, and dialogue, combined with a shared state machine, feels like a significant step towards creating a truly playable game world.

Rafael Estrela | IA profil fotoğrafı
Rafael Estrela | IA4 gün önce

There's a big difference between predicting the next frame and keeping a world coherent after dozens of actions have already happened.

Zoe profil fotoğrafı
Zoe5 gün önce

The combination of an interactive experience model and a persistent shared-world engine is fascinating. Congrats on ranking #1 on WBench’s Full split! 🎉

Krishna Thakur profil fotoğrafı
Krishna Thakur4 gün önce

At this pace, by 2030, if we can’t simulate the entire universe, we’ll at least be able to simulate our own Milky Way Galaxy with remarkable detail.

Shraddha Bharuka profil fotoğrafı
Shraddha Bharuka4 gün önce

The fact that the world keeps evolving beyond the observer is the part I keep thinking about.

Tulsi Soni profil fotoğrafı
Tulsi Soni4 gün önce

We're used to AI generating what comes next. What's more interesting here is asking what exists behind that frame—and what keeps happening when nobody is watching.

Aastha profil fotoğrafı
Aastha4 gün önce

The distinction between what the agent sees and what actually exists in the world is fascinating.

Yash profil fotoğrafı
Yash4 gün önce

⁠Different agents, different perspectives, same underlying world. I like this setup.

Shushant Lakhyani profil fotoğrafı
Shushant Lakhyani5 gün önce

wow wow wow wow wow

Vaidehi profil fotoğrafı
Vaidehi4 gün önce

First-person experience + a persistent world is a pretty interesting combination.

Dr. Josh C. Simmons profil fotoğrafı
Dr. Josh C. Simmons4 gün önce

@grok what system specs am i gonna need to run this

(identity '[:pankaj :λ]) profil fotoğrafı
(identity '[:pankaj :λ])5 gün önce

WoW, the world of warcraft could be reimagined in this.

Dhairya Karekar profil fotoğrafı
Dhairya Karekar4 gün önce

A world that doesn't stop when you stop looking at it. That's interesting.

Devon profil fotoğrafı
Devon5 gün önce

Very cool

Bartek Wlodarczyk profil fotoğrafı
Bartek Wlodarczyk5 gün önce

World simulation? um.. nope. It has nothing to do with that.

LEX profil fotoğrafı
LEX4 gün önce

Splitting the interactive render from a computable rules layer is what DeepMind pointed at with Genie 3. If DAO is real rules and not retrieval, this is the first Chinese lab to ship that split.

Altiam Kabir profil fotoğrafı
Altiam Kabir4 gün önce

What caught my attention isn't the generated scene. It's the fact that the agent can only act on what it actually experiences.

Eliana 🇺🇸 profil fotoğrafı
Eliana 🇺🇸4 gün önce

The subjective/objective separation makes a lot of sense for this kind of simulation.

kieran Drew profil fotoğrafı
kieran Drew4 gün önce

Congrats on hitting #1 on WBench Full split! Huge milestone for XGEN Labs! 🎉

Parul Gautam profil fotoğrafı
Parul Gautam4 gün önce

The shared world state is the really interesting part here.

Mark Yu profil fotoğrafı
Mark Yu5 gün önce

This kinda gives me Westworld vibes. Same world, but everyone experiences a different story depending on where they go and what they choose.

Raya profil fotoğrafı
Raya5 gün önce

The idea of a world continuing to evolve even when an agent isn't observing it is seriously compelling. 🚀

Benzer Videolar

This is THE moment of Physical AI! We are officially announcing Cosmos 3: Omnimodal World Models for Physical AI 🚀 - Cosmos 3 is an omnimodal world model: within a unified architecture, it can understand and generate language, images, video, audio, and actions. - It is not just a VLM, not just a video generator, not just an audio-visual generative model, and not just a physics simulator / world-action model. It can understand images and videos, generate images, videos, and audio, simulate future worlds, predict actions, and generate robot policies—enabling models to truly begin to “touch the world.” - Cosmos 3 is the #1 open-weight reasoner / T2I / I2V / robot policy across many benchmarks. Huge thanks to every teammate who fought side by side on this journey—from architecture, data, training, infra, serving, and evaluation to post-training. Every part of this project carries an incredible amount of hard work. This was my first time leading a project as Tech Lead, and I feel truly fortunate. The future of Physical AI needs models that can not only “see” and “describe” the world, but also “imagine,” “simulate,” and “act”—and eventually close the loop with the real world. I hope Cosmos 3 can become an important starting point for this direction, and I’m excited to push Physical AI into its next stage together with the open-source community. Welcome to the era of Physical AI. HuggingFace: Project Website: Code:

Max Zhaoshuo Li 李赵硕

1,079,898 görüntüleme • 3 ay önce

Attention all citizens of the world! We are excited to announce that in just 20 days, the Perfect World will be launching! This revolutionary project is set to change the way we experience gaming and virtual reality forever! The Perfect World project will be launched on multiple launchpads, multi chains and will be listed on top exchanges, making it accessible to gamers and investors alike. With this multi-platform launch, the project is set to be the talk of the town, and everyone is eagerly anticipating its release. The Perfect World project is not just any ordinary game. It's an immersive, never-ending adventure that allows players to become anyone or anything they desire. With state-of-the-art AI technologies, players can create their characters based on their unique preferences and interests. They can then explore a vast open world, complete challenges, and even create their own games using the AI-powered imagination engine. To make this project even more exciting, the Perfect World team is partnering with some of the most prominent names in the industry. We are collaborating with top gaming studios, blockchain developers, and AI experts to create the ultimate gaming experience. We invite you to join us on this incredible journey as we explore the limitless possibilities of the Perfect World. Get ready to experience gaming like never before, with the perfect blend of innovation, creativity, and technology. Stay tuned for more updates on this groundbreaking project, and get ready to enter the perfect world! $PA #GameFi #AI #PerfectWorld #DAO

Perfect World

372,086 görüntüleme • 3 yıl önce

I am stocked to announce that I won the OpenAI Developers Codex x Mollie Hacka Worldwide Hackathon in Paris. 60+ builders, every one of us working solo, one day to ship. I built mine around a single question: who gets to own intelligence? The default answer is scary. You hand your data to a handful of labs, they train the model, they own it, and you rent back a thin slice of what your own data made possible. That is the bargain on the table today. I do not accept it. So I built Lensemble: a Tapestry like distributed training platform for JEPA based World Models. What does it enable: World Models that a community improves together, keeps sovereign, and co-owns. Two bets sit underneath it. First, the paradigm. Language models predict the next token. Powerful for text, a dead end for the physical world. A robot does not need to autocomplete sentences, it needs to predict what happens next in the world. That is what JEPA does: it learns by predicting representations instead of pixels or tokens. I am convinced world models are the most underrated paradigm in AI right now, and the closest thing we have to a ChatGPT moment for robotics. Second, the politics. Your raw trajectories never leave your machine. Each participant trains locally against a shared protocol and ships only an update, never the data. A federated round folds those updates into one shared world model, a LeWorldModel based model, and the gain is measured, not claimed: a 12k-parameter adapter on a frozen backbone, held-out prediction error down about 12 percent, the model measurably less surprised by the world. Then the upside is split by contribution weight, so the people who improved the model own a share of what it earns. This is the thesis behind Project Tapestry, the AI Alliance and Yann LeCun's push for federated, sovereign frontier AI, carried into world models and robotics. Call it Tapestry for the physical world. All of it built solo, in a single day, with Codex as my pair the whole way. Thank you to OpenAI Codex and Mollie for backing builders who ship real things, and to Boris and the organizing crew for the room and the standard you set. Intelligence the world improves, and the world owns. That is the future I want for my kids, and the one I will keep building.

abdel

20,191 görüntüleme • 3 ay önce

Tencent presents GameGen-O Open-world Video Game Generation We introduce GameGen-O, the first diffusion transformer model tailored for the generation of open-world video games. This model facilitates high-quality, open-domain generation by simulating a wide array of game engine features, such as innovative characters, dynamic environments, complex actions, and diverse events. Additionally, it provides interactive controllability, thus allowing for the gameplay simulation. The development of GameGen-O involves a comprehensive data collection and processing effort from scratch. We collect and build the first Open-World Video Game Dataset (OGameData), amassed extensive data from over a hundred of next-generation open-world games, employing a proprietary data pipeline for efficient sorting, scoring, filtering, and decoupled captioning. This robust and extensive OGameData forms the foundation of our model's training process. GameGen-O undergoes a two-stage training process, consisting of foundation model pretraining and instruction tuning. In the first phase, the model is pre-trained on the OGameData via the text-to-video and video continuation, endowing GameGen-O with the capability for open-domain video game generation. In the second phase, the pre-trained model is frozen, and we fine-tuned using a trainable InstructNet, which enables the production of subsequent frames based on multimodal structural instructions. This whole training process imparts the model with the ability to generate and interactively control content. In summary, GameGen-O represents a notable initial step forward in the realm of open-world video game generation via generative models. It underscores the potential of generative models to serve as an alternative to rendering techniques, which can efficiently combine creative generation with interactive capabilities.

AK

367,249 görüntüleme • 2 yıl önce