Julian Schrittwieser
@Mononofu
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Member of Technical Staff at Anthropic AlphaGo, AlphaZero, MuZero, AlphaCode, AlphaTensor, AlphaProof Gemini RL Prev Principal Research Engineer at DeepMind
Joined August 2007
I strongly recommend signing up - Anthropic is an amazing place to work at, I love the culture, the impact is massive and the pace is incredible!.I’ll be at the event, happy to answer your questions there 🤗.
We're hosting a social hour in London in early August for quant traders and developers. If you'd like to join us, meet researchers from our London office, and learn about the technical problems we're working on, please sign up at the following form:
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RT @andy_l_jones: Anthropic's hosting a social in London in early August for quants & quant engineers interested in a career jump!. Especia….
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RT @AnthropicAI: New Anthropic research: Alignment faking in large language models. In a series of experiments with Redwood Research, we f….
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I'm very excited to announce that I'm joining @AnthropicAI this week, after 10 amazing years at @GoogleDeepMind !. Thank you also to all the amazing people I got to meet and work with, and I'm really looking forward to meeting all my new colleagues 💖 !.
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I was especially excited that it managed to find a proof to P6, the hardest problem this year:
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Our latest work AlphaProof, building on AlphaZero, LLMs and the @leanprover theorem prover, combined with AlphaGeometry 2 managed to solve 4 IMO problems and achieve silver-medalist level! 🚀. More at
deepmind.google
Breakthrough models AlphaProof and AlphaGeometry 2 solve advanced reasoning problems in mathematics
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In the normal Turing test, an investigator tries to distinguish a human and an AI. I'm more interested in a stricter version: in each interaction the investigator chooses a preferred response; the AI tries to be chosen as many times as possible.
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RT @summeryue0: I’m joining Scale and we are starting a new safety lab! Hiring researchers interested in trustworthy evaluations, red teami….
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3. Can we significantly decrease the probability of sampling harmful behaviour by systematically filtering pre-training data? A kind of G-rated dataset?.
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1. Language models can be thought of as simulators: 2. The types of agents they can simulate and the likelihood of sampling them depends on the distribution of the training data.
generative.ink
Simulacra and simulation in self-supervised models
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I also wrote a brief summary of our new AlphaTensor paper in my blog:
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Also check out the neat cover animation, huge props to our design team!.
Today in @Nature: #AlphaTensor, an AI system for discovering novel, efficient, and exact algorithms for matrix multiplication - a building block of modern computations. AlphaTensor finds faster algorithms for many matrix sizes: & 1/
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Excited to announce our latest paper, AlphaTensor, out in Nature today!.We describe how we can discover new faster matrix multiplication algorithms using AlphaTensor, a new agent based on AlphaZero. paper:
nature.com
Nature - A reinforcement learning approach based on AlphaZero is used to discover efficient and provably correct algorithms for matrix multiplication, finding faster algorithms for a variety of...
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Excited to share our latest work on AlphaCode! See our blog post and paper for more: I also wrote up my personal brief summary:
deepmind.google
Solving novel problems and setting a new milestone in competitive programming.
Below is an example of a problem #AlphaCode can successfully solve, using the exact information seen on @codeforces, & the program that #AlphaCode writes. By @liyuajia, David Choi, @junyoungch, @NateKushman, @Mononofu, @RemiLeblond, Tom Eccles, James Keeling, @FelixAxelGimeno 2/
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I'm happy to announce that our MuZero paper has been published in Nature: !. Please see our official blog post for more; also see my personal blog for a high level description of MuZero:
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Gave a talk about MuZero at the Planning and RL workshop at ICAPS2020: Went into some more detail of reanalyse - why it's useful and how it works.
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A simple way to get started with Rust WebAssembly in a browser, no npm needed -
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Verifying myself: I am mononofu on Keybase.io. CrAwu-aA8RXiZ85Ioc79ZKmqxadKB7kS9vW7 /
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