필터 결과
95개정렬
1:01:30ENLeopold Aschenbrenner’s 2024 Forecast for AGI, Superintelligence and SecurityMatthew Berman · Forward FutureMatthew Berman examines Situational Awareness, its extrapolation to automated AI research, and the industrial, geopolitical and alignment challenges it envisions.
1:25:42ENReid Hoffman on AI Models, Inflection, Governance and Technology’s Social Impact게스트 Reid Hoffman · 진행자 Harry StebbingsHoffman discusses the Microsoft–Inflection arrangement, AI competition and regulation, and his political views in a time-specific 2024 interview.
21:13ENAI Workers’ Right to Warn and the Debate Over AGI SafetyMatthew Berman · Forward FutureMatthew Berman examines a 2024 open letter on speaking up about AI risks alongside predictions from former OpenAI employees Leopold Aschenbrenner and Daniel Kokotajlo.
24:06ENOpenAI’s 2023 Board Crisis: Helen Toner’s Account and the Governance DebateMatthew Berman, Helen Toner · Forward FutureMatthew Berman examines a former director’s allegations, a subsequent review and competing views on AI safety oversight.
56:35ENThey Asked for a Fraction of the 20 Percent and Still Got No진행자 Nathan LabenzZvi Mowshowitz and Nathan Labenz unpack Jan Leike’s resignation, OpenAI’s broken compute pledge, and what a safety culture looks like when the money does not follow the mission.
54:25ENJail Only for Perjury: Scott Wiener Walks Through California's Frontier AI Bill진행자 Nathan LabenzSB 1047 sets the same 10^26 FLOPs threshold as the Biden executive order, and the San Francisco senator wants testing without a licensing regime.
2:00:00ENA 10^26 FLOP Training Run Would Put California Labs on the Hook진행자 Nathan LabenzNathan Calvin, Dean Ball, and Steve Newman argue over SB 1047, the first U.S. statute aimed at frontier-model tail risk.
1:44:23ENYou Can Split Your Vote by Issue — and Hand It to an AI진행자 Nathan LabenzTim Reutemann’s 2018 novel Liquid Reign sketches a 2051 democracy built on Swiss citizen initiatives, liquid delegation, and personal AIs you can mute.
27:07ENSam Altman on AI Abundance, Regulation and the Economics of ComputeMatthew Berman, Sam Altman, Chamath Palihapitiya · Forward FutureA 2024 World Governments Summit interview is followed by Matthew Berman’s discussion of chip investment and open-model competition.
1:30:41ENThe Model Is a Baked Cake. NYT v. OpenAI Will Likely Cut a Middle Path진행자 Nathan LabenzTech lawyer Cecilia Ziniti maps the Constitution’s IP clause onto the New York Times lawsuit — and explains why a court is unlikely to order GPT-4 destroyed.
35:28ENSam Altman on Future AI Models, Copyright and the Limits of DeploymentMatthew Berman, Ina Fried, Sam Altman · Forward FutureIn a January 2024 Davos interview, OpenAI’s CEO discusses model progress, election risks, military use and customization. Matthew Berman responds to the claims and their implications.
2:16:27ENSuperhuman Go Has a Blind Spot. Balaji Bets on a War of the Gods진행자 Nathan LabenzBalaji Srinivasan tells Nathan Labenz why adversarial inputs, missing actuators, and cryptography make a single runaway AI god less likely than a contest among many that still need priests.
1:19:24ENA Toy Paper Did Not Prove LLMs Cannot Generalize. The Discourse Still Ran With It.진행자 Nathan LabenzNathan Labenz and Erik Torenberg unpack a viral DeepMind result, a weekend reproduction, and a premature war over voluntary AI commitments.
1:03:46ENWhen Code Costs a Dime, You Throw the App Away진행자 Nathan LabenzLindy founder Flo Crivello tells Nathan Labenz how an AI employee learns APIs from documentation, why GPT-4 made quality the only metric that matters, and why even he wants aviation-style rules for AI.
16:22ENAI News in August 2023: Models, Copyright Disputes and the Business of AIMatthew Berman · Forward FutureMatthew Berman reviews a week of AI releases and legal battles, from Python in Excel and Meta's translation model to copyright and personalized feeds.
15:49ENMatthew Berman on AI Adoption, Hype and the Case for CautionMatthew Berman · Forward FutureA 2023 response to a skeptical assessment of ChatGPT and Bing weighs early usage patterns, creative work and AI risks.
1:01:26ENAlexNet Used Two GPUs. GPT-4 Took Twenty Thousand. The Shortage Will Be Back.진행자 Nathan LabenzRun:ai CTO Ronen Dar on filling idle accelerators, why H100s can be cheaper per experiment, and why Llama 2 undercuts compute governance.
2:42:44ENThe Former Trader Who Writes 10,000 Words a Week Puts AI Doom at 60 Percent진행자 Nathan LabenzZvi Mowshowitz tells Nathan Labenz why today's language models are a gift, why the default future past human level is extinction or a worthless universe, and who actually moves the AI debate.
54:00ENDouwe Kiela on Data, Retrieval and Enterprise AI게스트 Douwe Kiela · 진행자 Harry StebbingsThe Contextual AI CEO discusses language model trade-offs, evaluation, open models and the hurdles to enterprise use.
1:16:44ENAlex Lebrun on AI Assistants for Doctors, Model Limits and Building Nabla게스트 Alex Lebrun · 진행자 Harry StebbingsThe Nabla co-founder explains his approach to healthcare AI, lessons from Facebook and his 2023 views on competition and regulation.
23:20ENRishi Sunak on UK AI Policy, Talent and Education in 2023게스트 Rishi Sunak · 진행자 Harry StebbingsThe then prime minister discusses an AI task force, skills and visa initiatives, and the political priorities he wanted to pursue.
57:23ENSam Altman, Gary Marcus and IBM Testify on AI Risks: Matthew Berman ReactsMatthew Berman, Sam Altman, Christina Montgomery, Gary Marcus, Richard Blumenthal, Josh Hawley, Amy Klobuchar, Mazie Hirono, John Kennedy, Chris Coons, Peter Welch · Forward FutureBerman reviews selected 2023 Senate hearing excerpts on safety testing, misinformation, jobs, licensing and the proposed AI pause.
1:11:11ENEmad Mostaque on Open AI Models, National Data and the Race to Deploy게스트 Emad Mostaque · 진행자 Harry StebbingsThe Stability AI co-founder describes his 2023 vision for open models, healthcare applications and AI businesses, alongside concerns about a speculative boom.
1:06:02ENYann LeCun on Open AI Models, Safety and the Future of Research게스트 Yann Lecun · 진행자 Harry StebbingsMeta’s chief AI scientist discusses language models, research priorities and his contested views on AI risk and employment.
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