CSET retweeted
How does black-box distillation actually work? In our new blog, we break the distillation process down into five steps based on an in-depth review of the published literature:
1️⃣ Define the objective of the distillation and select the student and teacher models.
2️⃣ Collect seed data that will be inputted into the teacher.
3️⃣ Steer the teacher toward desired outputs.
4️⃣ Elicit synthetic data from the steered teacher by prompting it with seed data.
5️⃣ Train the student on the synthetic data through various techniques.
CSET retweeted
1/ New piece in @ForeignAffairs with @KathleenCurlee
on China’s rise as a space power and what it means for the United States.
BLUF: The era of unassailable U.S. space dominance is ending, and Washington has no choice but to adapt.
CSET retweeted
Public discussion of state-backed influence often treats discrete networks of fake accounts on social media as if they're the whole game.
In @ForeignAffairs, Renée DiResta (@noUpside) and I argue this is the wrong way to see things.
Sophisticated states often combine overt AND covert tools, on both broadcast AND social media, in what we call "full-spectrum propaganda."
CSET retweeted
On the @ForeignAffairs podcast, @CSETGeorgetown Executive Director @hlntnr discusses the growing role of #AI in U.S.-China relations, how Washington and Beijing approach AI differently and what it will take to reduce the biggest risks.
Read more: bit.ly/4hJcbyh
CSET retweeted
Important story from @mackhawk on how/why Nvidia's products keep making their way to China. We @CSETGeorgetown are meticulously tracking PLA requests for export-controlled chips. More on this soon, but check out our recent update on the topic:
eto.tech/blog/pla-procuremen…
CSET retweeted
Most of the world's top scientists don't move to the United States after they become famous.
They move before – as students. A new @CSETGeorgetown brief I led traces the journeys of 550 top STEM awardees. 🧵(1/8)
CSET retweeted
Today in DC, @CSETGeorgetown, Purdue GRAIL, MIT AI Risk Initiative & CMU EncyclopAIdia come together for “Building the Path from AI Safety Science to AI Governance.” Explore AGORA: agora.eto.tech/ #AIGovernance
CSET retweeted
Alla vigilia del vertice Trump - Xi Jinping alla Casa Bianca con un dilemma chiamato “Intelligenza Artificiale”.
Al Telegiornale @RSIonline con @SamBresnick (thx!) del @CSETGeorgetown
rsi.ch/play/tv/redirect/deta…
CSET retweeted
Very cool job opening at CSET (share widely!): we're hiring a lead for our research team focused on military & intelligence adoption of AI (plus other natsec applications of emerging tech).
We're looking for experienced candidates with a strong background in 1+ of military operations, intel analysis, and acquisitions/requirements/budgeting/T&E.
You'll be leading a team of fantastic researchers, guiding ongoing work as well as setting new directions for the team. CSET produces independent, rigorous, technically informed research on what the rapidly changing tech landscape means for national security decisionmakers.
This is the team that has produced incredible work on Chinese military adoption, US AI decision support, US-China space launch comparisons, and more - I'll link examples in the thread.
Apply here by Oct 5 (2 weeks from today): cset.georgetown.edu/job/nati…
CSET retweeted
I recently dug into this piece by @SamBresnick for @CSETGeorgetown and found Chinese discussions on AI use in the military are profoundly worried about exactly this kind of issue, that the systems are not reliable enough for this type of consequences
cset.georgetown.edu/publicat…
This alarming story by @KatieBoLillis and @ZcohenCNN underscores how urgently the United States and China must prioritize measures to mitigate the security risks of artificial intelligence.
cnn.com/2026/09/18/politics/…
CSET retweeted
To win the AI race, Washington should stop fixating on the prospect of superintelligence and start emphasizing “practical investments in the development and rapid adoption of AI,” argue @mchorowitz and @Lauren_A_Kahn.
foreignaffairs.com/united-st…
CSET retweeted
1/ We updated @CSETGeorgetown Supply Chain Explorer with 2025 global market share data for chipmaking equipment.
@jacob_feldgoise and I break down how China's position changed over the last year.
CSET retweeted
Where is China's chipmaking equipment industry gaining ground?
In a new @CSETGeorgetown analysis, @HannaDohmen and I looked at China's 2025 market share:
📈 Ion implantation, deposition, etch & clean tools
📉 Assembly, test, and packaging
(1/3)
CSET retweeted
We analyze 120 sections or subsections of federal laws and regulations enacted from 2020 through 2023. Using AGORA, compiled by @CSETGeorgetown and Purdue GRAIL, we connect the AI risks and harms in each text to a public values framework.
CSET retweeted
1/ In July, a Chinese state-owned firm caught a rocket booster at sea. A month later, a startup called LandSpace landed the first stage of its own rocket.
In @NikkeiAsia, @KathleenCurlee and I explain the stakes of China’s reusable rocket progress.
Thread below:
Georgetown CSET Executive Director @hlntnr explains why AI-enabled bio attacks could become a rare point of common ground between America and China:
"The right counterargument from a US perspective would be, okay, but maybe Chinese models will lead to bio attacks outside China that then affect China. Even if you have perfect censorship and perfect surveillance of all your citizens, maybe you can't stop someone outside China from doing this."
"Another one I've been thinking about is incident reporting after Hugging Face. There's a lot of questions around what happened here, and what conclusions we should draw."
"That's the kind of thing where I think it's very unlikely we'll get a handshake deal of we'll do X if you do Y, just because the trust isn't there."
"It needs to be something more like, hey, we think it would be a good idea if both of us do X, and we can just do it. It's cost-free for the US to say, look, we can start sharing some incidents with you. Trying to get them to come along, rather than trying to get some kind of hard commitment."
@CSETGeorgetown
Georgetown CSET Executive Director @hlntnr reveals why China sees AI companions as a threat to the Communist Party even when they never criticize it:
"In China, everything you do online is tied back to your SIM card, which is tied back to your national ID card. They can look at anything anyone is doing online and trace back to an individual person."
"There's one thing, does the AI tell you the Communist Party is bad. But there's a different thing, does AI cause social effects that have knock on dissatisfaction with the Communist Party. Their most recent regulation was actually on AI companions. They called it human-like AI. Read the f---ing regulation."
"The motivation there is less AI companions will tell their users that the CCP is bad, and more like if you have kids committing suicide, if you have these broader negative effects on society, is that bad for their hold on power. That's the primary lens they're looking at all this through."
@CSETGeorgetown
Georgetown CSET Executive Director @hlntnr explains why China thinks it takes AI safety more seriously than America does:
"The problem is that both sides take it seriously in their own way. Sometimes in the US there's a sense that China is kind of a little bit behind us on this path to taking AI more seriously. But actually they sort of have the flip side, the same view of us."
"There was this really interesting piece that came out a week or two ago. The title was 'Anthropic Has American Disease.' It was criticizing the US government for not being serious on AI regulation."
"From the Chinese perspective, China has all these regulations, technical standards, all this stuff going on with their generative AI sector, and the US is really unserious because everything we're doing is voluntary."
"So both sides think that the other is not taking it seriously. For me it's less like will China be serious enough, and more like can they identify some specific concrete issue where they don't just talk past each other?"
@CSETGeorgetown
Georgetown CSET Executive Director @hlntnr argues China may not actually want to race America to AGI:
"It's really not clear to me that they are. They think of themselves as in competition with the US on AI. They wanna be leading the world of AI. There's a specific version of racing to recursive self-improvement so that you're the first one to get to takeoff so that you have a decisive strategic advantage forever. I really don't think that is a prominent set of ideas in China."
"Some people are like, well, if they only understood how powerful AGI will be, then obviously they would have to race. Which I think is not right, given how much they care about being in control."
"The Chinese Communist Party, their whole deal is staying in control, keeping society stable. If they thought there was a serious risk that they would lose control of AI, then that would not feel appealing to them."
"It often feels like there's a real nihilism behind the, oh well, we could try and prevent them, but we can't because China. That just seems so defeatist, giving up so early in the story."
@CSETGeorgetown
Georgetown CSET Executive Director @hlntnr reveals why the term "AGI" is becoming useless just as we're getting closer to it:
"AGI as a term is kind of a fuzzy cloud. When it was a fuzzy cloud that was far away, you could say oh AGI and gesture towards it, and that was a useful thing to say. But we're now inside the fuzzy cloud of different things you might mean by AGI. It's not really very helpful to say is this AGI or is it not. It all depends on how you define it."
"It doesn't feel useful to talk about in the abstract is Astra AGI or not. People are trying to get at some tipping point. But people mean quite different tipping points."
"Are you talking about AI that can tip you into fully automated AI R&D, recursive self-improvement, intelligence explosion? Or AI that is a drop-in remote worker and can wipe out large chunks of the workforce. That's a different tipping point."
"An approach to jargon I keep coming back to is, if you can just say a short phrase instead of some jargon term, that's almost always better. If you can say super duper powerful AI, no really super powerful. Or if you mean AI that can kick off RSI, say that. The fact we have to have a whole discourse cycle about it shows this term is not very helpful."
@CSETGeorgetown



























