Scott Singer (宋杰)

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Scott Singer (宋杰)

Scott Singer (宋杰)

@Scott_R_Singer

fellow @CarnegieEndow and co-founder @OxChinaPolicy AI x China | lead writer of the CA Report on Frontier AI Policy

London | DC Katılım Ağustos 2019
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Scott Singer (宋杰)
Scott Singer (宋杰)@Scott_R_Singer·
A year ago, the Western world was stunned when DeepSeek released its R1 model. Chinese AI is going to stun the world again. Only the next time, it won't be at chatbot. It will be AI-powered robotics. For @washingtonpost, Pavlo Z. and I explain why China is winning the embodied AI race. 🧵
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Alan Chan
Alan Chan@_achan96_·
Maybe the Institute should also have an in-house historian (or just prompt Claude to be one)? There's probably a lot of useful internal data (e.g. Slack archives) that could contextualize near-term decisions and help future people understand how we navigated this period
Anthropic@AnthropicAI

Introducing The Anthropic Institute, a new effort to advance the public conversation about powerful AI. anthropic.com/news/the-anthr…

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Scott Singer (宋杰)
Scott Singer (宋杰)@Scott_R_Singer·
. @Changxche is doing some of the best journalism on AI in China. His latest on robotics in China –– ranging increasingly proliferating robotics training centers and local governments exploring how to work with technical experts to deploy the latest tech –– is definitely worth the read. theguardian.com/technology/202…
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Jack Clark
Jack Clark@jackclarkSF·
Very proud of this research from The Anthropic Institute - we used Claude to survey ~81,000 people about their hopes, fears, and thoughts about AI. Check it out!
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Anthropic@AnthropicAI

We invited Claude users to share how they use AI, what they dream it could make possible, and what they fear it might do. Nearly 81,000 people responded in one week—the largest qualitative study of its kind. Read more: anthropic.com/features/81k-i…

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Sam
Sam@Discoplomacy·
V pleased to see this. Britain will launch an AI Economics Institute, based on the AISI model, to examine the impact on jobs and productivity.
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Scott Singer (宋杰)
Scott Singer (宋杰)@Scott_R_Singer·
Henry has played a tremendous role in helping the UK become a powerhouse in the AI conversation from both the inside and outside. Today is a good day if you believe it's important that the UK navigate transformative AI well.
Henry de Zoete@HZoete

Pleased to be rejoining the civil service as Investment and AI adviser in DSIT. As an exited founder and angel investor in over a hundred startups I’m hopeful I can help make Britain the place for tech and AI. It’s a part time role as I will still be carrying on my work at Oxford University and on the board of the ALB of the DfE Oak National Academy. This government has made great strides on AI and tech. Excited to get going and help!

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Seán Ó hÉigeartaigh
Seán Ó hÉigeartaigh@S_OhEigeartaigh·
People folks should follow, China double whammy. Folks often ask me about differences between US and Chinese AI policy and government attitudes. @kristy_loke is doing the deep dives and is an invaluable font of information. @Scott_R_Singer is going deep on the emerging safety governance infrastructure and debates. 300 and 2k followers, respectively, is criminal.
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Sam Winter-Levy
Sam Winter-Levy@SamWinterLevy·
Will AI end mutually assured destruction? @nikitaalalwani and I joined Luisa Rodriguez on the @80000Hours podcast for a fun (despite the topic!) conversation on subs, mobile missiles, missile defense, cyber threats to command-and-control, and why AI and nuclear experts urgently need to start talking to each other
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Scott Singer (宋杰)
Scott Singer (宋杰)@Scott_R_Singer·
3/ China and the U.S. are starting to run parallel experiments in regulating AI psychological harms. California and New York are moving largely through liability, transparency, and the threat of lawsuits. China is moving through more prescriptive technical interventions and centralized administrative oversight. That contrast—liability-based vs. top-down governance—may become one of the most important fault lines in AI policy.
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Scott Singer (宋杰)
Scott Singer (宋杰)@Scott_R_Singer·
For most of China’s AI policy history, the focus has been on controlling content and managing the information environment. With China’s new draft regulation on anthropomorphic AI, that’s starting to change. Three takeaways from my latest with @mattsheehan88 for @CarnegieEndow:
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Kanishka Narayan MP
Kanishka Narayan MP@KanishkaNarayan·
The UK is full of the world’s very best AI research talent. @OpenAI has backed that talent with opportunity, opening its largest global research hub outside the US!
Liz Kendall@leicesterliz

@OpenAI has chosen London as its largest global research hub outside the US. A huge vote of confidence in the UK's world-leading AI research. It reaffirms the UK as the place for AI innovation that is both safe and transformative. thetimes.com/uk/technology-…

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Karson Elmgren
Karson Elmgren@kelmgren·
I recently started a blog for short analysis and commentary on China & AI: Logogram my new post gives some flavor on what the discourse on risks from AI looks like in China. check it out in the link below!
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Scott Singer (宋杰)
Scott Singer (宋杰)@Scott_R_Singer·
Now is the moment to interrogate strategy and think concretely about how to navigate the gap between those who think exponentially increasing AI capabilities are going to change everything and those who don't. Grateful to Anton for his analytical clarity and thought leadership.
Anton Leicht@anton_d_leicht

The India summit made the gap obvious: while San Francisco and D.C. see accelerating progress toward advanced AI, the rest of the world is betting they're wrong. Things are worse than I expected, and it's back to the drawing board. This week's post on where to go from here:

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Chris Painter
Chris Painter@ChrisPainterYup·
Our team is stretched thin at the moment! To continue upper-bounding the autonomy of AI agents, and developing evaluations for monitoring AI systems and their propensity to subvert human control, we need more great engineering and research staff. Please apply below or DM me!
METR@METR_Evals

We estimate that Claude Opus 4.6 has a 50%-time-horizon of around 14.5 hours (95% CI of 6 hrs to 98 hrs) on software tasks. While this is the highest point estimate we’ve reported, this measurement is extremely noisy because our current task suite is nearly saturated.

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Anton Leicht
Anton Leicht@anton_d_leicht·
The playbook for AI middle powers should be based on leverage: occupy bottlenecks downstream and upstream of AI development, and use them to secure economic participation and access to frontier AI. Much more on this in my new piece in @ForeignAffairs with @SamWinterLevy:
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Keşfet

@Changxche @washingtonpost @anton_d_leicht @S_OhEigeartaigh @kristy_loke @nikitaalalwani @80000Hours @mattsheehan88