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Julian Schrittwieser Profile
Julian Schrittwieser

@Mononofu

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22K
Following
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Statuses
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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
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@Mononofu
Julian Schrittwieser
13 days
I had a lot of fun chatting with @mattturck from MAD podcast this week! We talked trends in AI, RL and why it unlocks Agents, scaling and so much more: https://t.co/otGWjKGicL links to what we talked about and further reading:
@mattturck
Matt Turck
15 days
Failing to Understand the Exponential, Again? My conversation with @Mononofu - Julian Schrittwieser (@AnthropicAI, AlphaGo Zero, MuZero) - on Move 37, Scaling RL, Nobel Prize for AI, and the AI frontier: 00:00 - Cold open: “We’re not seeing any slowdown.” 00:32 - Intro —
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@Mononofu
Julian Schrittwieser
17 days
I’m extremely excited about this! Accelerating science and unlocking new breakthroughs is what excites me so much about AI; I would love to hear what capabilities and features would be useful to accelerate your research!
@AnthropicAI
Anthropic
18 days
We’re building tools to support research in the life sciences, from early discovery through to commercialization. With Claude for Life Sciences, we’ve added connectors to scientific tools, Skills, and new partnerships to make Claude more useful for scientific work.
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@AnthropicAI
Anthropic
17 days
Our position has been consistent: AI will deliver enormous benefits and should be developed thoughtfully. We share the administration's goals of maximizing those benefits, managing risks, and advancing America's lead in AI. A statement from our CEO:
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anthropic.com
A statement from Anthropic CEO, Dario Amodei, on Anthropic’s commitment to advancing America's leadership in building powerful and beneficial AI
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@Mononofu
Julian Schrittwieser
29 days
Time for Line 37?
@_aidan_clark_
Aidan Clark
30 days
I think a lot of the LLM naysayers are primed to think a Move 37 analogy is impossible in the current AI stack, similar to the pre-AG skepticism we were anywhere close. Luckily, like AG, when it comes the skepticism will disappear fast.
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@Grayscale
Grayscale
11 hours
Excited for today $GDLC Bitcoin Ethereum @solana $SOL $XRP @Cardano $ADA
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@logangraham
Logan Graham
1 month
GSV You're Absolutely Right!
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@Mononofu
Julian Schrittwieser
1 month
As a researcher at a frontier lab I’m often surprised by how unaware of current AI progress public discussions are. I wrote a post to summarize studies of recent progress, and what we should expect in the next 1-2 years: https://t.co/B7438Z9lOF
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@Mononofu
Julian Schrittwieser
4 months
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 🤗
@AnthropicAI
Anthropic
4 months
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: https://t.co/fWD4QsOPTk
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@ClaytonLRichter
ClaytonRichter
2 days
Someone today accused me of being anti-muslin. Not true at all. I rather like it.
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@andy_l_jones
andy jones
4 months
Anthropic's hosting a social in London in early August for quants & quant engineers interested in a career jump! Especially engineers: if you spend all day optimizing trading system performance, we are excited to chat to you. https://t.co/00YSS1jxTp
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@AnthropicAI
Anthropic
11 months
New Anthropic research: Alignment faking in large language models. In a series of experiments with Redwood Research, we found that Claude often pretends to have different views during training, while actually maintaining its original preferences.
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@Mononofu
Julian Schrittwieser
1 year
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 💖 ! https://t.co/hcb5YJR2SB
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@Mononofu
Julian Schrittwieser
1 year
I was especially excited that it managed to find a proof to P6, the hardest problem this year:
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@valent44355
Victor Renard
6 hours
THIS IS THE MOST UNDERVALUED COMPANY ON NASDAQ, according to Warren Buffett’s analysis. Buffett’s rule is simple: Buy real companies that earn real money at irrationally cheap prices. That description fits NextNRG Inc ($NXXT) perfectly. 📊 Facts: * Market Cap ≈ $200–250
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@Mononofu
Julian Schrittwieser
1 year
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
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@Mononofu
Julian Schrittwieser
2 years
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. https://t.co/K9dfswkIZw
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@summeryue0
Summer Yue
2 years
I’m joining Scale and we are starting a new safety lab! Hiring researchers interested in trustworthy evaluations, red teaming and scalable oversight. These areas require hands-on interaction with human data, and Scale is an unparalleled place to do it.
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scale.com
SEAL: Scale’s Safety, Evaluations and Alignment Lab
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@Mononofu
Julian Schrittwieser
3 years
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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@Mononofu
Julian Schrittwieser
3 years
1. Language models can be thought of as simulators: https://t.co/BYFgaKSn4W 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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@HopkinsEngineer
Johns Hopkins Engineering
25 days
David Van Wie, director of the Johns Hopkins Applied Physics Laboratory—brings more than 40 years of defense-technology experience to students as an instructor in our Engineering for Professionals online master's program in mechanical engineering.
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@Mononofu
Julian Schrittwieser
3 years
I also wrote a brief summary of our new AlphaTensor paper in my blog:
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@Mononofu
Julian Schrittwieser
3 years
Also check out the neat cover animation, huge props to our design team!
@GoogleDeepMind
Google DeepMind
3 years
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: https://t.co/E18DezRPTL & https://t.co/SvHgsa0SNV 1/
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@Mononofu
Julian Schrittwieser
3 years
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. https://t.co/2Nz9pws8Iu https://t.co/iC9H5GE9Dm paper:
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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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@Mononofu
Julian Schrittwieser
4 years
Excited to share our latest work on AlphaCode! See our blog post and paper for more: https://t.co/VzOvtehFNw I also wrote up my personal brief summary:
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deepmind.google
Solving novel problems and setting a new milestone in competitive programming.
@GoogleDeepMind
Google DeepMind
4 years
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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@TerriLWP
Terri Oakley
8 hours
The appearance of glass in this woman suggests a fragility we women know to be real. But Jesus can and does pick up the pieces and put us back together again.
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