Lei M. Zhang
@l32zhang.bsky.social
📤 1865
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Research Scientist @ Google DeepMind. Previously @ OpenAI. Building AGI. 🤖
Cool paper using cultural learning to better align culture values in LLMs. Cultural learning ftw! 💪👨🏫
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4 months ago
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Quanta Magazine
8 months ago
Researchers Stephen Jordan and Noah Shutty from Google Quantum AI have devised a new quantum approach to solving problems by treating them like error-free messages. So far, the algorithm has bested all known classical techniques.
www.quantamagazine.org/quantum-spee...
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Stephen Turner
10 months ago
Best practices... no wait... Good enough practices... err... how about Questionable practices in machine learning
https://arxiv.org/abs/2407.12220
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Jane Wang
10 months ago
A brilliant colleague and wonderful soul Felix Hill recently passed away. This was a shock and in an effort to sort some things out, I wrote them down. Maybe this will help someone else, but at the very least it helped me. Rest in peace, Felix, you will be missed.
www.janexwang.com/blog/2025/1/...
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Felix — Jane X. Wang
From the moment I heard him give a talk, I knew I wanted to work with Felix . His ideas about generalization and situatedness made explicit thoughts that had been swirling around in my head, incohe...
https://www.janexwang.com/blog/2025/1/2/felix
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Jess Hamrick
11 months ago
Excited to be able to share what I've been up to recently! We released a new experimental model, Gemini 2.0 Flash Thinking, which shows the thoughts/reasoning it uses to come up with its answers. Try it out here!
aistudio.google.com/prompts/new_...
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Gabriel Dulac-Arnold
11 months ago
Try out our fresh-from-the-oven thinking model:
aistudio.google.com/prompts/new_...
Very cool what these new classes of models are capable of!
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Chris Stringer
11 months ago
Acheulean technology and emergent sociality: what material engagement means for the evolution of human-environment systems
link.springer.com/article/10.1...
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Acheulean technology and emergent sociality: what material engagement means for the evolution of human-environment systems - Phenomenology and the Cognitive Sciences
The Acheulean techno-complex represents a significant chapter in hominin cognitive evolution. Two important developments include enchained technological behaviours that were practiced with broad consi...
https://link.springer.com/article/10.1007/s11097-024-10039-2
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Lei M. Zhang
11 months ago
It’s been a crazy 2 years seeing so many amazingly talented researchers bring GENerative Interactive Environments alive in Genie 1 and 2. the future is agents in generative environments
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Jack Parker-Holder
11 months ago
Introducing 🧞Genie 2 🧞 - our most capable large-scale foundation world model, which can generate a diverse array of consistent worlds, playable for up to a minute. We believe Genie 2 could unlock the next wave of capabilities for embodied agents 🧠.
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Tomer Ullman
11 months ago
thinking of calling this "The Illusion Illusion" (more examples below)
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Tom Schaul
12 months ago
Are there limits to what you can learn in a closed system? Do we need human feedback in training? Is scale all we need? Should we play language games? What even is "recursive self-improvement"? Thoughts about this and more here:
arxiv.org/abs/2411.16905
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Boundless Socratic Learning with Language Games
An agent trained within a closed system can master any desired capability, as long as the following three conditions hold: (a) it receives sufficiently informative and aligned feedback, (b) its covera...
https://arxiv.org/abs/2411.16905
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cedric
12 months ago
we are recruiting interns for a few projects with @pyoudeyer in bordeaux > studying llm-mediated cultural evolution with @nisioti_eleni @Jeremy__Perez > balancing exploration and exploitation with autotelic rl with @ClementRomac details and links in 🧵 please share!
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Jane Wang
12 months ago
Applications are open for student researcher positions at Google DeepMind for 2025! Due date Dec 13
www.google.com/about/career...
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Student Researcher, 2025 — Google Careers
https://www.google.com/about/careers/applications/jobs/results/139039912904008390-student-researcher-2025
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Ethan Mollick
12 months ago
During most of the vast history of humanity, technologies have evolved gradually, not through leaps of genius, but slow cultural adaption. Before the scientific method, easy communication & printed books, innovation happened at the level of societies, not people.
www2.psych.ubc.ca/~henrich/pdf...
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Seamus Blackley
12 months ago
Reader, I do not know the demons that haunt your dreams, the frustrations and insults of life that have brought you to your knees, the sadness you battle in your heart. But know this: there is pure goodness in this world. It exists. Sometime we see a glimpse of it. Today, I got such a peek.
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Marc Lanctot
12 months ago
Just a heads up to everyone:
@deep-mind.bsky.social
is unfortunately a fake account and has been reported. Please do not follow it nor repost anything from it.
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Great list of researchers working on making NLP models more culturally aware 🌏!!
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12 months ago
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Thomas Steinke
12 months ago
For no particular reason, I really like these starter packs: Google DeepMind:
go.bsky.app/GZ4hZzu
Theoretical CS:
go.bsky.app/6A6GRSi
ML Theory:
go.bsky.app/21nFz12
Differential Privacy:
go.bsky.app/A7ABG83
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Google DeepMind Starter Pack
Join the conversation
https://go.bsky.app/GZ4hZzu
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Lei M. Zhang
12 months ago
now, if we think of p(output | prompt, a few examples) as a predictive distribution p(y|x, D) ... it looks very much like learning to me :) see e.g. my slide deck on
drive.google.com/file/d/1B-Ka...
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Lei M. Zhang
12 months ago
Beyond excited to introduce AlphaQubit, now published in Nature! AlphaQubit is a neural network for quantum error correction and achieves state-of-the-art accuracy on simulated and real-world data.
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Learning high-accuracy error decoding for quantum processors - Nature
A recurrent, transformer-based neural network, called AlphaQubit, learns high-accuracy error decoding to suppress the errors that occur in quantum systems, opening the prospect of using neural-network...
https://nature.com/articles/s41586-024-08148-8
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Johannes Bausch
12 months ago
I'm super excited to share that our work on AlphaQubit, a high accuracy neural network quantum error correction decoder, is now published in Nature!
www.nature.com/articles/d41...
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Quantum computing: physics–AI collaboration quashes quantum errors
Machine-learning strategy for quantum error correction.
https://www.nature.com/articles/d41586-024-03557-1
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Fran J H Heras
12 months ago
Really excited to share our (Google DeepMind and Google QuantumAI) new publication in @Nature, where we use neural networks to identify errors in quantum computers with state-of-the-art accuracy. Paper:
www.nature.com/articles/s41...
Blog:
blog.google/technology/g...
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Learning high-accuracy error decoding for quantum processors - Nature
A recurrent, transformer-based neural network, called AlphaQubit, learns high-accuracy error decoding to suppress the errors that occur in quantum systems, opening the prospect of using neural-network...
https://www.nature.com/articles/s41586-024-08148-8
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Tim Rocktäschel
12 months ago
Now that
@jeffclune.bsky.social
and
@joelbot3000.bsky.social
are here, time for an Open-Endedness starter pack.
go.bsky.app/MdVxrtD
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Tim Rocktäschel
12 months ago
Google DeepMind is hiring Student Researchers in EMEA 👇
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Marc Lanctot
12 months ago
Student Researcher positions in EMEA now accepting applications! Please repost.
www.google.com/about/career...
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Student Researcher, 2025 — Google Careers
https://www.google.com/about/careers/applications/jobs/results/139039912904008390-student-researcher-2025
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Gabriel Dulac-Arnold
12 months ago
Our team is looking for an ML hacker extraordinaire. make the TPUs hum with the sound of AGI. Job description: make intelligence = f(compute) unbounded :
boards.greenhouse.io/deepmind/job...
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Research Engineer, Generative AI
London, UK
https://boards.greenhouse.io/deepmind/jobs/6344363
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