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98 篇排序
1:08:51ENChip Controls Are Meant to Buy Ten Years, Not Win the AI Race主持 Nathan LabenzEconomist Noah Smith tells Nathan Labenz that U.S. export controls are a piece of conventional deterrence against China — not a plan to kneecap DeepSeek.
54:55ENNew Jersey Cut Phone Waits from 40 Minutes to 90 Seconds主持 Nathan LabenzGovernor Phil Murphy on the state AI assistant, a Princeton hub, and why he wants the best catcher's mitt in the country when superhuman systems arrive.
56:07ENBox Holds 100 Billion Files. Its CEO Says Enterprises Only Move for a 10x主持 Nathan LabenzAaron Levie tells Nathan Labenz why AI excitement in the enterprise already outruns the early cloud — and why 98% reliability, seat-based SaaS, and incremental savings still will not ship.
1:29:00EN14,000 people applied. Thirty-three got in. The jobs are at Homeland Security.主持 Nathan LabenzMichael Boyce, director of the DHS AI Corps, tells Nathan Labenz how the largest civilian AI team in the U.S. government is being built — and what it is already shipping.
2:40:58ENZvi Mowshowitz Still Puts P(doom) at 60%—and Says Not Updating Is Self-Deception主持 Nathan LabenzA six-month recap with the Don't Worry About the Vase author covering Ilya’s SSI, OpenAI’s o1, Claude’s computer use, the SB 1047 veto, and Trump’s return.
1:15:17ENAn AI Arms Race Is Not Physics. It Is a Choice.主持 Nathan LabenzNathan Labenz argues with Trump’s former NSC cyber director over China, chips, and whether words can stop a militarized AI race.
55:05EN400,000 Customers, 100 Million AI Tasks: Zapier’s CEO on Making Computers Do More Work主持 Nathan LabenzWade Foster tells Nathan Labenz how a no-code automation company absorbed LLMs, cloned its CEO with a prompt, and is trying to turn a DIY toolkit into packaged solutions.
1:23:57ENA Training Run Is a Particle Collider—and the China Contest Is a Fifty-Year Race主持 Nathan LabenzSamo Burja tells Nathan Labenz why ChatGPT's virality may have slowed AI science, and why Washington should treat Beijing as an economic rival rather than a military one.
1:40:13ENIf I Were Governor, I Would Sign: California's Last Debate Over SB 1047主持 Nathan LabenzThree guests return to unpack the rewritten frontier-AI bill as OpenAI opposes it, Anthropic calls it workable, and a final vote looms in Sacramento.
2:04:15ENA parrot cannot paraphrase — and Claude cannot be talked into harm主持 Nathan LabenzRobert Wright of the Nonzero podcast interviews Nathan Labenz on whether large language models understand anything, what Anthropic’s 10 million features actually show, and why open weights collide with U.S.–China policy.
1:32:45ENHe doubled a company with AI — then asked the labs to pause hyperscaling主持 Nathan LabenzOn the Nick Halaris Show, Cognitive Revolution host Nathan Labenz argues for adopting today's models fast and slowing the race to systems more powerful than we are.
1:48:41ENAGI Has Been a Moving Goalpost for Seventy Years主持 Nathan Labenza16z’s Martin Casado and host Nathan Labenz spend two hours arguing whether today’s models will become general knowledge workers, and whether that debate should drive AI regulation.
1:45:11ENAI already beats doctors at empathy. Catastrophe is still not the default主持 Nathan LabenzNathan Labenz tells Sarah Hastings Woodhouse why he is an adoption accelerationist and a hyperscaling pauser, and lists eight reasons he will not join the hardcore doomers.
52:45ENA $150 million model, $5 million six months later: Benchmark’s AI investment math主持 Nathan LabenzEric Vishria and Quilter’s Sergiy Nesterenko explain why PCB layout is not a Copilot problem, why human board data would be the wrong training set, and which AI companies look like sugar highs.
31:04ENThe Risk Is Not China Copying. It Is America Refusing to Use the Tools主持 Nathan LabenzAt the 2024 Hill & Valley Forum, Alex Wang, Jack Clark, and Andrew Ng tell Senator Cory Booker that Chinese labs are inventing, open-source models are already strong, and the Pentagon’s real AI failure is under-adoption.
1:01:55ENA $9 AI nurse, an 86 on the medical boards, and a 10% extinction line主持 Nathan LabenzNathan Labenz’s solo scouting report walks from medical state of the art through how models actually learn, then to live players, scaling trends, and a control plan that still does not exist.
58:28ENFrom Jailbreaking ChatGPT to Anthropic’s First Prompt Engineer: How Alex Albert Ships Claude 3主持 Nathan LabenzA year after building jailbreakchat.com, Alex Albert walks Nathan Labenz through Claude 3’s writing, orchestration, character work, and the guardrails app developers still skip.
56:35ENThey Asked for a Fraction of the 20 Percent and Still Got No主持 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.
2:00:00ENA 10^26 FLOP Training Run Would Put California Labs on the Hook主持 Nathan LabenzNathan Calvin, Dean Ball, and Steve Newman argue over SB 1047, the first U.S. statute aimed at frontier-model tail risk.
1:05:52ENInfinite AI Interns Are Already on the Job主持 Nathan LabenzNathan Labenz tells computer-science students how to stand out when models are beating doctors on routine work and firms are hiring fewer juniors.
1:37:52ENChina Has 17 Million Chatbot Users and No OpenAI主持 Nathan LabenzA Beijing-based watcher walks through China's LLM players, products, regulation, and the delayed bill from the U.S. chip ban.
1:29:21EN2,700 AI Authors, No Consensus: Even Odds of HLMI in 2047, 5% Extinction主持 Nathan LabenzKatja Grace of AI Impacts walks Nathan Labenz through a survey of researchers who published in top venues in 2022—and why the field’s only real consensus is uncertainty plus more safety work.
1:50:09ENNine Hundred Occupations, Twenty Years, and Still No AI Revolution主持 Nathan LabenzEconomist Robin Hanson tells Cognitive Revolution why each new AI demo looks like the last one, and why wages and headcount are the tests that matter.
2:00:03EN → 简体中文患者认为 GPT-4 比医生更有同理心主持 Nathan LabenzExponential View 的 Azeem Azhar 为 Nathan Labenz 梳理了 AI 的 S 曲线:为什么过去总是显得平缓,为什么共情能力最先被跨越,以及百万倍的算力究竟会改变什么。
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