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The gang returns and rebrands!
Note: we recorded this Friday afternoon, before the FT reported that '
US believes Nvidia’s Huang had romantic relationship with alleged Chinese spy
Kevin Xu of Interconnected, Matt Klein of The Overshoot, and Peter Harrell of Georgetown Law, who ran international economics at Biden’s NSC, asked in January whether America was cooked. Now they’re voting on a rebrand: Are We Cooking?
We discuss…
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Joining me for WarTalk’s post-midterms edition are regulars Bryan Clark of the Hudson Institute, Special Forces veteran Justin McIntosh, and former House staffer Tony Stark.
We discuss…
Plus, I had Claude rebuild the original Team Yankee board game. Play a friend or the AI here (https://claude.ai/artifact/7LyRbALwL11FnqZWsqC9Rp). Next book: Tonio Andrade’s The Gunpowder Age.
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You can read a translation into English of this interview here: https://www.chinatalk.media/p/how-to-make-fun-of-chinese-ai
Xianyu (咸鱼), the writer behind 葬AI — “Funeral AI” — produces some of the best satire out there about China’s AI industry. ChinaTalk Substack readers may remember his essay “Open Models Are the United Front of AI”.
In this conversation, Irene and Xianyu talk (in Chinese) about:
We also disagree about where the hype is worse: China or America.
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The blockade is squeezing Iran. So why does it keep being easier to press the war button?
WarTalk regulars Jordan Schneider, Justin McIntosh, Bryan Clark, and Tony Stark.
Plus: join the Navy, see the world (mostly the Iranian coast), and letting AI pick the next war.
Timestamps:
00:01:20 Iran and the midterms
00:10:20 Is Cuba next?
00:24:37 Jensen, spies, and the J-5 firing
00:42:07 The Afghanistan myth
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In the new era of global competition, being at the forefront of Super Intelligence innovation equals geopolitical power. To maintain leadership and establish the next world order, the U.S. is moving to cement its lead.
Barnett Koven is a Managing Director of AI and Data at Accenture Federal Services. He came to Accenture Federal Services after stints in industry and a faculty job at the University of Maryland, where his counterinsurgency research showed that some of the most influential quantitative studies got the answer exactly backwards.
We discuss…
Why “inaction is in and of itself risky” — and how government risk-aversion compounds against less-cautious competitors
The “gun-armor race” in classified AI environments, where defense costs grow exponentially against linear offense
Entity resolution and predictive modeling for BIS export-control enforcement, and unwrapping the PLA’s shell-company maze
DOE’s Genesis Mission and Accenture Federal’s “backbone for scientific research”
Thank you to Accenture Federal Services for bringing us this episode.
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ChinaTalk spends a lot of time on the leading lights of the Chinese economy... the MiniMaxes, ByteDances, Unitrees, and BYDs of the world.
But what about the rest of the system, the part growing at zero to two percent?
To talk about what's broken, not just what works, we talk with Meg Rithmire.
Meg is the James E. Robison Professor at Harvard Business School and author of Precarious Ties: Business and the State in Authoritarian Asia. With UC San Diego's Peter Cowhey, she recently wrote "The Cost of Keeping China Out" for Foreign Affairs, which argues that Washington should let some Chinese firms build in America... on strict terms.
We discuss…
Plus: the Indonesian tycoon hiding behind the building on Meg's book cover, whether AI can do David Barboza's paper-trail reporting in five seconds
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Ukraine and Russia have rebuilt their armies around drones, deception, and long-range strike. What should the U.S. military take from it?
Michael Kofman joins WarTalk regulars Jordan Schneider, Justin McIntosh, and Tony Stark.
We discuss:
Plus: getting rich as a military analyst, and how to tell real maneuver from sparkling mobility.
Timestamps:
00:00:00 Intro
00:03:28 U.S. leverage in Ukraine
00:30:02 Who will fight with the drones?
00:47:05 You don't own the night
01:04:32 Wet gap crossings
01:08:56 What to tell Congress
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Nick Brown is a co-founder of the Center for Technology and Statecraft (CTS), a new think tank spun out of IFP, that looks at long-term technology challenges and opportunities facing the US. Nick was a physics major, spent a while as a software engineer in and around government, and had an arc as an aspiring concert violinist. But we’re here to talk about what is in pole position for my paper of the year: his master class on what would happen if the US cut off DUV exports to China: DUV Immersion Lithography: The Foundation of US AI Compute Advantage. Co-hosting is ChinaTalk’s Aqib Zakaria.
We discuss:
Timestamps:
00:00:00 Intro
00:07:11 EUV vs. DUV
00:21:55 What the MATCH Act does
00:41:24 Would Beijing retaliate?
00:58:59 Japan, the Netherlands, and the light-source option
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He was recently promoted to DIU’s acting director after spending the past year running the Drone Dominance Program. Co-hosting are Brian Clark, senior fellow at Hudson Institute and a retired submariner, and Justin McIntosh, a twenty-year retired Green Beret who served in the 1st and 5th Groups, who now works in defense tech and writes a Substack called Mind of Things.
We discuss:
Timestamps:
00:00:00 Intro
00:01:27 How Drone Dominance works
00:08:36 Ukraine, jamming, and the Gauntlets
00:32:41 Component supply chain
00:47:37 Doctrine and forcing functions
01:03:11 Bombers, pilots, and autonomy
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Richard Bian is the head of product operations for Ant Ling, the foundational LLM at Ant. If you don’t know Ant, they most famously make Alipay, which makes your money and your world run when you’re in China and sometimes beyond. Richard is a former software engineer at Microsoft and Square, and he previously served as head of open source at Ant, where he scaled the open source initiative into a dedicated team. He’s lived and worked in Singapore, Canada, the US, and China, and he loves to build products.
Topics covered:
The Hugging Face hack as a sign of progress? Why Richard sees the incident involving OpenAI research agents as an inevitable discovery rather than simply a disaster, and why finding a solution now is a positive development.
AGI is coming, but nobody knows what it will look like. AGI is inevitable, and we’re still in the early stages of figuring out what these models can do. Rather than obsessing over leaderboards, we need better evaluations and a more open-minded approach to judging models.
Open source as a product strategy, not just a way to give things away. How open-weight models can harness global talent, accelerate development, and support a diverse ecosystem of products, and why the real business challenge is gross margins rather than capex.
Why the AI conversation needs more voices. Why we need to pay attention to diverse perspectives on where AI is going, and be more willing to explore rather than declare the endgame.
AI moves fast: since we recorded, Ant Ling has announced its latest LLM, Ling 3.1 Flash, which was open-sourced on October 14 with 560B parameters and up to a 1M-token context window.
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