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Danijar Hafner Profile
Danijar Hafner

@danijarh

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Building towards AI that can do everything the human brain does, including the physical world. World models and AI agents @GoogleDeepMind.

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Joined August 2013
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@danijarh
Danijar Hafner
16 days
Excited to introduce Dreamer 4, an agent that learns to solve complex control tasks entirely inside of its scalable world model! 🌎🤖 Dreamer 4 pushes the frontier of world model accuracy, speed, and learning complex tasks from offline datasets. co-led with @wilson1yan
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@demishassabis
Demis Hassabis
1 day
Veo 3 is the state-of-the-art in video models. Veo 3.1 is our new big upgrade with enhanced realism, richer audio, scene extension, better narrative control, more precise editing capabilities & much more. Enjoy creating with it at https://t.co/QgTpxTKAOi and in the @GeminiApp !
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labs.google
Where the next wave of storytelling happens with Veo.
@GoogleDeepMind
Google DeepMind
1 day
Veo is getting a major upgrade. 🚀 We’re rolling out Veo 3.1, our updated video generation model, alongside improved creative controls for filmmakers, storytellers, and developers - many of them with audio. 🧵
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@danijarh
Danijar Hafner
2 days
There is no Dreamer crypto token 🤣 My account got hacked but it's sorted out, thanks everybody for telling me!
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@DJTFentanylFree
Make America Fentanyl Free
17 days
Securing our borders to keep fentanyl out of our country.
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@sainingxie
Saining Xie
3 days
three years ago, DiT replaced the legacy unet with a transformer-based denoising backbone. we knew the bulky VAEs would be the next to go -- we just waited until we could do it right. today, we introduce Representation Autoencoders (RAE). >> Retire VAEs. Use RAEs. 👇(1/n)
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@UnitreeRobotics
Unitree
4 days
Unitree G1 Kungfu Kid V6.0 A year and a half as a trainee — I'll keep working hard! Hope to earn more of your love🥰
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@zkwthu
Kaiwen Zheng
7 days
🚀Try out rCM—the most advanced diffusion distillation! ✅First to scale up sCM/MeanFlow to 10B+ video models ✅Open-sourced FlashAttention-2 JVP kernel & FSDP/CP support ✅High quality & diversity videos in 2~4 steps Paper: https://t.co/xZZK25oIrJ Code: https://t.co/aPAo1MO0JQ
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@ACC_National
American Conservation Coalition
1 day
ACC CEO @DanielleBFranz takes the @TEDTalks stage to share why ACC was founded to engage young conservatives on environmental issues: “I realized that we couldn’t leave climate change to one political party alone.”
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@GoogleDeepMind
Google DeepMind
7 days
We’re proud to announce that Genie 3 has been named one of @TIME’s Best Inventions of 2025. Genie 3 is our groundbreaking world model capable of generating interactive, playable environments from text or image prompts. Find out more → https://t.co/bv1gZaWYtd
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@reflection_ai
Reflection AI
7 days
Today we're sharing the next phase of Reflection. We're building frontier open intelligence accessible to all. We've assembled an extraordinary AI team, built a frontier LLM training stack, and raised $2 billion. Why Open Intelligence Matters Technological and scientific
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@Figure_robot
Figure
7 days
Introducing Figure 03
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@__JohnNguyen__
John Nguyen
9 days
Transfusion combines autoregressive with diffusion to train a single transformer, but what if we combine Flow with Flow? 🤔 🌊OneFlow🌊 the first non-autoregressive model to generate text and images concurrently using a single transformer—unifying Edit Flow (text) with Flow
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@mattpavelle
Matt Pavelle 🇺🇸
12 days
Someone posted this on Reddit the other day. It tells you everything about American healthcare in 2025. Look at the right column. Prescription refills, urgent care needs, chronic conditions, cold symptoms, minor injuries. The poster says: don't call 911 for these, and that's 100%
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@danijarh
Danijar Hafner
11 days
SOTA humanoid locomotion: 20M params Fruit fly: 50M params
@Rainmaker1973
Massimo
11 days
Scientists have mapped the entire neural network of the fruit fly. 50 million synapses between 139,000 neurons. https://t.co/RddBCxlSvc
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@zhenkirito123
Zhen Wu
15 days
Humanoid motion tracking performance is greatly determined by retargeting quality! Introducing 𝗢𝗺𝗻𝗶𝗥𝗲𝘁𝗮𝗿𝗴𝗲𝘁🎯, generating high-quality interaction-preserving data from human motions for learning complex humanoid skills with 𝗺𝗶𝗻𝗶𝗺𝗮𝗹 RL: - 5 rewards, - 4 DR
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@PaulVicol
Paul Vicol
21 days
🔥Veo 3 has emergent zero-shot learning and reasoning capabilities! This multitalented model can do a huge range of interesting tasks. It understands physical properties, can manipulate objects, and can even reason. Check out more examples in this thread!
@tkipf
Thomas Kipf
22 days
Veo is a more general reasoner than you might think. Check out this super cool paper on "Video models are zero-shot learners and reasoners" from my colleagues at @GoogleDeepMind.
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@kimmonismus
Chubby♨️
16 days
Dreamer 4 takes world models to a new level - training multi-task agents fully in imagination while never touching the real environment. Powered by a novel shortcut forcing method, it delivers lightning-fast, accurate predictions and crushes benchmarks, beating OpenAI’s VPT
@danijarh
Danijar Hafner
16 days
Excited to introduce Dreamer 4, an agent that learns to solve complex control tasks entirely inside of its scalable world model! 🌎🤖 Dreamer 4 pushes the frontier of world model accuracy, speed, and learning complex tasks from offline datasets. co-led with @wilson1yan
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@Jetoptera
Jetoptera
9 days
Jetoptera’s Fluidic Propulsive System™: Bladeless, quieter, 2-3x faster than a helicopter and 2-3x thrust augmentation. Powering fast, efficient VTOL UAS & aircraft for cargo and people. Join the future of flight!
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@alxai_
alex duffy
16 days
Hard to overstate how big of a deal this is: 1. Train a video model on Minecraft 2. Train agent on video model WITHOUT ACTUALLY PLAYING THE GAME 3. The agent gets better at Minecraft Learn in imagination, act in reality 🤯 ∴ define a great env -> learn anything More
@danijarh
Danijar Hafner
16 days
Excited to introduce Dreamer 4, an agent that learns to solve complex control tasks entirely inside of its scalable world model! 🌎🤖 Dreamer 4 pushes the frontier of world model accuracy, speed, and learning complex tasks from offline datasets. co-led with @wilson1yan
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@TheHumanoidHub
The Humanoid Hub
16 days
LimX Dynamics' Oli humanoid robot autonomously collects tennis balls from the floor. ⦿ Oli is 5'5" tall, weighs 55 kg (121 lb), has 31 DoF ⦿ Ships with a modular SDK for Python-based development
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@Bayesian0_0
Bayesian
16 days
complex robotics self-learning on video generation will go *very* far. It seems to have very nice scaling properties. Expect the most general robots in 1-2 years to be pretrained on a lot of video and text, and then train robotics skills within generated worlds
@danijarh
Danijar Hafner
16 days
Excited to introduce Dreamer 4, an agent that learns to solve complex control tasks entirely inside of its scalable world model! 🌎🤖 Dreamer 4 pushes the frontier of world model accuracy, speed, and learning complex tasks from offline datasets. co-led with @wilson1yan
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@kvfrans
Kevin Frans
16 days
Clean and well-executed new work from @danijarh @wilson1yan , and it's cool to see shortcut models working at scale! The exciting finding is that you can train the world model largely on *unlabelled* videos, and only need a small action-anchoring dataset.
@danijarh
Danijar Hafner
16 days
Excited to introduce Dreamer 4, an agent that learns to solve complex control tasks entirely inside of its scalable world model! 🌎🤖 Dreamer 4 pushes the frontier of world model accuracy, speed, and learning complex tasks from offline datasets. co-led with @wilson1yan
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@DWWLrecordings
Doing What We Love
4 days
DWWL - JUST SAY
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@LiamFedus
William Fedus
16 days
Today, @ekindogus and I are excited to introduce @periodiclabs. Our goal is to create an AI scientist. Science works by conjecturing how the world might be, running experiments, and learning from the results. Intelligence is necessary, but not sufficient. New knowledge is
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@stalkermustang
Igor Kotenkov
16 days
Sora 2 the same day as Dreamer 4. Coincidence? I don't think so 🤪
@danijarh
Danijar Hafner
16 days
Excited to introduce Dreamer 4, an agent that learns to solve complex control tasks entirely inside of its scalable world model! 🌎🤖 Dreamer 4 pushes the frontier of world model accuracy, speed, and learning complex tasks from offline datasets. co-led with @wilson1yan
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