Jane Wang @janexwang
Staff research scientist at DeepMind. AI and neuro. Former physicist, current human. https://t.co/jVR7w1pUOQ janexwang.com London, England Joined March 2009-
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🚨Announcing the next Harvard #efficientml seminar on Learning to learn, featuring @janexwang and Rising Star @juliancodaforno ! 🧠 ➡️ April 22, 2:30 ET 📅Registration: tinyurl.com/yyzt9c96 🔗 Website: efficientml.org @harvard_data @HarvardDBMI @KempnerInst
Oops I did it again 🤭 #TotalSolarEclipse
Longer context is a game changer, now we're going to see the real power of in-context (meta-) learning!
Longer context is a game changer, now we're going to see the real power of in-context (meta-) learning!
Excited to announce SIMA, a general AI agent for games & 3D virtual settings. It marks the first time an agent has demonstrated it can follow natural-language instructions to carry out a wide range of tasks across a large array of game worlds, similar to how a human would play.
Excited to announce SIMA, a general AI agent for games & 3D virtual settings. It marks the first time an agent has demonstrated it can follow natural-language instructions to carry out a wide range of tasks across a large array of game worlds, similar to how a human would play.
Interesting discussion with @IanOsband about what it means for a large model to be "grounded". I had no idea my take was controversial! Language is very useful for abstraction, but a world made only of language, and constrained only by human subjectivity can't be that grounded?
Interesting discussion with @IanOsband about what it means for a large model to be "grounded". I had no idea my take was controversial! Language is very useful for abstraction, but a world made only of language, and constrained only by human subjectivity can't be that grounded?
I should add that we also trained and tested on a variety of custom designed and research environments like Playhouse and the newly developed Construction Lab! Custom environments played a pivotal role in our ability to evaluate and analyze agent capabilities.
I should add that we also trained and tested on a variety of custom designed and research environments like Playhouse and the newly developed Construction Lab! Custom environments played a pivotal role in our ability to evaluate and analyze agent capabilities.
Ever wondered how your LLM splits numbers into tokens? and how that might affect performance? Check out this cool project I did with @djstrouse: Tokenization counts: the impact of tokenization on arithmetic in frontier LLMs. Read on 🔎⏬
At the poster for our work on "Passive learning of active causal strategies in agents and language models" x.com/andrewlampinen… Tue 12 Dec 5:15 p.m. CST — 7:15 p.m. CST Great Hall & Hall B1+B2 (level 1) #825 nips.cc/virtual/2023/p…
At the poster for our work on "Passive learning of active causal strategies in agents and language models" x.com/andrewlampinen… Tue 12 Dec 5:15 p.m. CST — 7:15 p.m. CST Great Hall & Hall B1+B2 (level 1) #825 nips.cc/virtual/2023/p…
Sadly I am not going to #NeurIPS2023, but if you are, you should definitely check out @juliancodaforno's paper on Meta-in-context Learning in LLMs! neurips.cc/virtual/2023/p… on Thursday at 5:15 pm x.com/cpilab/status/…
Sadly I am not going to #NeurIPS2023, but if you are, you should definitely check out @juliancodaforno's paper on Meta-in-context Learning in LLMs! neurips.cc/virtual/2023/p… on Thursday at 5:15 pm x.com/cpilab/status/…
Can we teach AIs to be good partners to humans and each other? Emotions and playful courtship seem to be key to successful partnerships in humans and animals. We built an evolutionary model to try to understand why. With @DuenezGuzman & @jzl86 pnas.org/doi/10.1073/pn…
The Gemini era is here. Thrilled to launch Gemini 1.0, our most capable & general AI model. Built to be natively multimodal, it can understand many types of info. Efficient & flexible, it comes in 3 sizes each best-in-class & optimized for different uses blog.google/technology/ai/…
👀 Gemini is out!
BBS currently has an open call for commentaries on our paper on “Meta-Learned Model of Cognition.” We encourage anyone interested in cognitive models, especially Bayesian and neural network models, and their applications to apply! cambridge.org/core/journals/…
Now that Q-learning is the latest hot trend, I'm looking forward to the AI community rediscovering policy gradient and actor-critic methods, and then finally meta-learning! (hint: it's now called "in-context learning") Everything old is new again.
Delip Rao e/σ @deliprao
46K Followers 5K Following Busy inventing the shipwreck. @Penn. Past: @johnshopkins, @UCSC, @Amazon, @Twitter ||Art: #NLProc, Vision, Speech, #DeepLearning || Life: 道元, improv, running 🌈Eric Jang @ericjang11
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132 Followers 170 Following PhD Student in Machine Learning @cpilab @ELLISforEurope exploring Cognitive Models of Meta-RL supervised by Eric Schulz & @janexwang.Jim Fan @DrJimFan
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5K Followers 487 Following Gemini ♊ Spent time at @Berkeley_EECS, @MPI_IS, @DeepMind.Health update: recovering at home with the world’s best dog after yet another surgery. Family, friends & colleagues have been sooooo amazingly supportive. Feeling lucky!!! #breastcancer
🚨Announcing the next Harvard #efficientml seminar on Learning to learn, featuring @janexwang and Rising Star @juliancodaforno ! 🧠 ➡️ April 22, 2:30 ET 📅Registration: tinyurl.com/yyzt9c96 🔗 Website: efficientml.org @harvard_data @HarvardDBMI @KempnerInst
In 2017, I did something dumb. There was a total solar eclipse passing through the US, but I was in NY, far from the path. Was I really gonna get on a plane to see a cool thing for two minutes? Nah. I had shit to do. The day came. I put my stupid glasses on and saw the sun…
Oops I did it again 🤭 #TotalSolarEclipse
Our next-generation AI model Gemini 1.5 Pro is now available in public preview on @googlecloud’s #VertexAI platform. Its long-context window is already helping businesses analyze large amounts of data, build AI-powered customer service agents & more. → dpmd.ai/43QZrOt
There appears to be a mismatch between publishing criteria in AI conferences and "what actually works". It is easy to publish new mathematical constructs (e.g. new models, new layers, new modules, new losses), but as Apple's MM1 paper concludes: 1. Encoder Lesson: Image…
We are rolling out Gemini 1.5 Pro API so that you can keep building amazing stuff on top of the model like we've seen in the past few weeks. Also, if you just want to play with Gemini 1.5, we removed the waitlist: aistudio.google.com Last, but not least, we pushed the model…
We're starting to roll out API support for Gemini 1.5 Pro for developers. We're excited to see what you build with the 1M token context window! We'll be onboarding people to the API slowly at first, and then we'll ramp it up. In the meantime, developers can try out Gemini 1.5…
If you want a hint about the future of AI, it is worth trying Gemini 1.5 with the 1M token context window, now available to everyone, apparently. Some of my experiments: giving it a video and having it figure out a recipe, execute instructions, watching my screen, summarize work
The AI Mirror Test The "mirror test" is a classic test used to gauge whether animals are self-aware. I devised a version of it to test for self-awareness in multimodal AI. 4 of 5 AI that I tested passed, exhibiting apparent self-awareness as the test unfolded. In the classic…
Robots often make mistakes in long-horizon tasks, which require a lot of data to fix. Our robot can: - incorporate verbal corrections on-the-fly, AND - use those to improve the policy over time No further teleop needed! Paper & Code: yay-robot.github.io
Introducing Yell At Your Robot (YAY Robot!) 🗣️- a fun collaboration b/w @Stanford and @UCBerkeley 🤖 We enable robots to improve on-the-fly from language corrections: robots rapidly adapt in real-time and continuously improve from human verbal feedback. YAY Robot enables…
@janexwang Thanks for the clarify @janexwang ! Looking forward to checking out construction lab, once it is out.
A short and very pedagogical perspective from the great Linda Smith on how infant's processes of active embodied learning can enable them to collect high-quality multimodal data and achieve super sample efficient learning nature.com/articles/d4158…
We're announcing TacticAI: an AI assistant capable of offering insights to football experts on corner kicks. ⚽ Developed with @LFC, it can help teams sample alternative player setups to evaluate possible outcomes, and achieves state-of-the-art results. 🧵…
Tomorrow 8 am, I’ll share our journey that led to Project GR00T, and a vision of the future of embodied AGI. I will be covering Eureka, VIMA, Voyager, MineDojo, etc. - the past milestones that I co-led with @yukez, spanning many years of efforts. GEAR Lab wasn’t built in a day.
Tue 3/19, 8 am PT, SJCC 220B (L2), first GTC talk in the morning, "Generally Capable Agents in Open-Ended Worlds [S62816]". I will present to you the roadmap of Foundation Agent and *one more thing*: a special cuisine that GEAR Lab has been cooking. Please come in person if you…
Great work but pretty sad to see that of the four research environments DeepMind uses in this work (Construction Lab, Playhouse, ProcTHOR, WorldLab) only one is available for researchers outside of DeepMind. Why not share those with the wider research community?
Introducing SIMA: the first generalist AI agent to follow natural-language instructions in a broad range of 3D virtual environments and video games. 🕹️ It can complete tasks similar to a human, and outperforms an agent trained in just one setting. 🧵 dpmd.ai/3TiYV7d
@janexwang @IanOsband My views re the somewhat nebulous notion of grounding:
@IanOsband - If you could get a system to tie actions in a game to language in a reliable way with good tests of generalization I think (under some definitions) it would be ok to call that grounding relative to the game - The empirical data in the new paper weren’t entirely compelling. But…
Happy to share what I have been working on for awhile: Generalist agent that can follow natural language insurrections in a board range of games!
Introducing SIMA: the first generalist AI agent to follow natural-language instructions in a broad range of 3D virtual environments and video games. 🕹️ It can complete tasks similar to a human, and outperforms an agent trained in just one setting. 🧵 dpmd.ai/3TiYV7d