3本のエピソード

Jeff talks with people smarter than him about interesting topics tangentially related to China's development of artificial intelligence.

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ChinAI Newsletter Jeffrey Ding

    • 科学

Jeff talks with people smarter than him about interesting topics tangentially related to China's development of artificial intelligence.

chinai.substack.com

    ChinAI Pod #3: The Worldwide Web of Chinese and Russian Information Controls with Valentin Weber

    ChinAI Pod #3: The Worldwide Web of Chinese and Russian Information Controls with Valentin Weber

    Welcome to the third episode of the ChinAI podcast, hosted by Jeff Ding. Our guest today is Valentin Weber, a DPhil Candidate in Cyber Security at the Centre for Doctoral Training in Cyber Security, University of Oxford. He joins the ChinAI Pod to discuss his latest report, “The Worldwide Web of Chinese and Russian Information Controls,” supported by the Open Technology Fund. It presents a typology of information controls (ranging from propaganda to surveillance), compares Chinese and Russian models of information control, and analyzes the possible causes and impacts of the expanding reach of Chinese and Russian information controls. Valentin’s findings are based on his own meticulous sourcing as well as his painstaking synthesis of secondary sources, documenting the diffusion of Chinese and Russian information controls to over 100 countries over the course of thirteen years.
    More broadly, Valentin is interested in how the cyber domain is changing conflicts and state strategies. His current research focuses on the integration of cyber and grand strategy, as well as on the role of information controls in state strategies. He previously worked for the International Security Department at Chatham House.
    *****Timestamps: Briefing Checklist (0:43); Debate the Guest (16:00); Footnote Fever (42:40); Trust the Process (51:45)


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    • 57分
    ChinAI Pod #2: Reframing Superintelligence with Eric Drexler

    ChinAI Pod #2: Reframing Superintelligence with Eric Drexler

    Welcome to the second episode of the ChinAI podcast, hosted by Jeff Ding. Our guest today is Eric Drexler, a senior research fellow at the Future of Humanity Institute. He joins the ChinAI podcast to discuss the latest FHI technical report “Reframing Superintelligence: Comprehensive AI Services as General Intelligence.”  In contrast to conventional views of superintelligence as an agent with unbounded capabilities across multiple domains, Eric reframes superintelligence as embodied within a bounded framework of Comprehensive AI Services (CAIS). We discuss how this alternative model may lessen some of the classic risks associated with artificial general intelligence (e.g. the paperclip maximizer) but also bring under-explored risks to the fore (e.g. supercharged addiction).
    Often described as the founding father of nanotechnology, he provides a unique perspective on the pathway to superintelligence — one of an extremely perceptive systems engineer. We also examine a perspective on superintelligence from a prominent Chinese philosopher.
    *****Timestamps: Briefing Checklist (1:00); Debate the Guest (20:00); Footnote Fever (31:00); Trust the Process (37:50)


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    • 47分
    ChinAI Pod #1: AI Talent Policy with Remco Zwetsloot

    ChinAI Pod #1: AI Talent Policy with Remco Zwetsloot

    Welcome to the first episode of the ChinAI podcast, hosted by Jeff Ding. There’s a lot of great podcasts out there that get interesting people to talk about their latest work on either the surface or the euphotic zone layer (the layer of the ocean where sunlight still penetrates); the ChinAI podcast seeks to dive into the deepest layers of a guest’s work — whether that be a new report, paper, epic poem, etc. Just like how other podcasts in different domains are structured around the guest’s newest movie or latest book, this pod will feature engagement with a guest anchored to a specific piece of text, which Jeff will have actually read in its entirety, including all the footnotes and other relevant literature.
    Each episode consists of four sections:
    * The Briefing Checklist (BCL): The main takeaways from the piece, with the expectation that this is a five-minute brief for a high-level principal
    * Debate the Guest (DTG): Too many podcasts consist of everyone saying “Yes, I agree…and now here’s my somewhat related point.” In contrast, Jeff will say, “This is a specific claim in your report that I want to directly rebut…” and we’ll use that as a starting point for further debate.
    * Footnote Fever: Jeff and the guest share their favorite footnotes in the report, investigate the underlying assumptions/indicators behind the main findings, and explore the surrounding literature which influenced the work.
    * Trust the Process (TTP): Some of my favorite podcasts are ones where we get an inside-view at the process behind someone’s work (e.g. how a movie director finds the perfect location for the scene, how a soccer coach plans tactics). In this section, we want to unpack the research process, which includes how a guest’s personal story ties into their work.
    Our inaugural guest is Remco Zwetsloot, a Research Fellow at Georgetown’s Center for Security and Emerging Technology. His writing on the security dimensions of artificial intelligence has appeared in Foreign Affairs, Lawfare and other publications. He is also a Research Affiliate and Ph.D. (D.Phil.) candidate at the University of Oxford’s Center for the Governance of AI. He has previously worked at OpenAI and holds degrees from Yale University (M.Phil., Political Science), the University of Oxford (M.Phil., International Relations) and University College Roosevelt (B.A., Social Science). Follow him @r_zwetsloot
    *****Timestamps: Briefing Checklist (3:45); Debate the Guest (11:25); Footnote Fever (35:00); Trust the Process (46:15)
    He joins the ChinAI podcast to discuss “Strengthening the U.S. AI Workforce: A Policy and Research Agenda” a Center for Security and Emerging Technology publication he wrote with the help of Roxanne Heston and Zachary Arnold. The report argues: A prolonged talent shortage could undermine U.S. strength in artificial intelligence, and current immigration policies place the country's AI talent advantage at risk. It lays out what is currently known about domestic and global AI talent, identifies priorities for U.S. policymakers and describes policy-relevant knowledge gaps that researchers should fill.



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    • 56分

科学のトップPodcast

FERMONDO
研究者レンとOLエマ
佐々木亮
MIMORI
“星空案内人”北里麻実 & “星のおじさま”森雄一
そんないプロジェクト