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1:23:57ENA Training Run Is a Particle Collider—and the China Contest Is a Fifty-Year Race진행자 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.
1:03:46ENZico Kolter on AI Safety, Scaling and the Limits of Open Models게스트 Zico Kolter · 진행자 Harry StebbingsThe Carnegie Mellon researcher and OpenAI board member explains why prompt injection worries him, how he thinks about open weights, and why AI progress remains uncertain.
23:52ENAI News in September 2024: Compute Clusters, Agents and AI PaymentsMatthew Berman · Forward FutureMatthew Berman reviews early reports on future models, a Minecraft simulation, mixed-reality devices and agent transactions.
1:04:17ENTrump Tells Lex Fridman the Stick Usually Wins진행자 Lex FridmanDays before debating Kamala Harris, the former president talked winning, Ukraine, the 2020 election, and the border chart he still carries.
0:57ENNew York’s Governor on Phones and Bullying in SchoolsA 2024 interview about evidence and a proposed policy response.
1:31:03ZH孟醒谈特斯拉 FSD、端到端架构与无人驾驶게스트 孟醒 · 진행자 张小珺从亲身试驾、系统工程到传感器选择,理解两类驾驶产品的不同目标。
22:42ENHow Might Language Models Store Facts?Grant SandersonA visual tour of transformer MLPs, a toy fact-recall mechanism and superposition.
37:47ENWorking Backwards from AGI: Magic's Five-Million-Token Bet진행자 Sarah Guo, Elad GilEric Steinberger wants a coding colleague you trust like a teammate — and a world that is still a good place thirty years after AGI.
40:33ENScott Gorlick on Uber’s Driver Acquisition and City Launch Playbook게스트 Scott Gorlick · 진행자 Harry StebbingsAn early Uber employee recalls recruiting drivers, building local teams and managing competition as the company expanded.
11:23ENGameNGen: Simulating DOOM with a Diffusion ModelMatthew Berman · Forward FutureMatthew Berman examines a 2024 research demonstration that generates an interactive DOOM-like game frame by frame, and considers what such systems might eventually enable.
4:10:28ENNinety-eight percent of American politics is the money게스트 Cenk Uygur · 진행자 Lex FridmanCenk Uygur tells Lex Fridman that corporatism, not left versus right, is the system that actually runs Washington — and that the only way out is to starve it of private cash.
1:30:24ENDaniel Miessler and Matthew Berman on AI Privacy, Coding, and Generated WorldsMatthew Berman, Daniel Miessler, Melissa, Alex · Forward FutureA 2024 live conversation explores Recall, open models, AI-assisted programming, a Doom simulator and questions about security, energy and employment.
1:30:37EN64 Bytes of Random Code, and Computational Life Showed Up Anyway진행자 Nathan LabenzGoogle researchers Ettore Randazzo and Luca Versari show that self-replicators can arise from a soup of random strings with no fitness function at all.
18:37ENGameNGen Simulates Doom as AI Coding, Safety and Inference News AccelerateMatthew Berman · Forward FutureMatthew Berman reviews a 2024 game-simulation paper, Cursor, robotics, AI safety debates and new enterprise tools.
0:44ENNVIDIA Adds Multi-LoRA Serving to Its RTX AI ToolkitMatthew Berman · Forward FutureIn an NVIDIA-partnered video, Matthew Berman describes using multiple adapters with one base model and a vendor-reported throughput gain.
42:59ENAWS Is a $100 Billion Cloud. Matt Garman Still Sees a 10x Migration Ahead진행자 Sarah Guo, Elad GilAmazon Web Services’ new CEO tells No Priors why 85 percent of workloads are still on-prem, how Bedrock was built from three bets, and why startups remain the company’s growth engine.
0:34ENHow Shopify Lets Employees Allocate Compensation게스트 Kaz NejatianKaz Nejatian describes a flexible approach to salary and equity.
50:40ENPlatform Strategy: Innovation, Abstraction and ConstraintsJames Lewis, Gregor HohpeGregor Hohpe and James Lewis discuss how internal platforms can help teams build.
1:54:17ENMetaculus Flagged Covid in January 2020. Now It Is Putting AI on the Forecasting Desk진행자 Nathan LabenzNathan Labenz talks with Metaculus CEO Deger Turan about epistemic security, a year-long bot tournament, and why a useful forecast is harder than an accurate one.
19:46ENLinus Torvalds and Dirk Hohndel on AI Coding, Bugs and HypeMatthew Berman, Linus Torvalds, Dirk Hohndel · Forward FutureMatthew Berman reacts to two conversations about AI-assisted programming, code review, automation and open data.
15:42ENStrawberry and Orion: What Was Reported About OpenAI’s Next Models in 2024Matthew Berman · Forward FutureMatthew Berman examines reports about a reasoning project, synthetic data and a future flagship model. Later releases clarify some of the story, while many original claims remain attributed to unnamed sources.
50:20ENArvind Narayanan on AI Scaling, Real-World Risks and the Limits of Model Benchmarks게스트 Arvind Narayanan · 진행자 Harry StebbingsThe Princeton professor challenges simple claims about scaling, AGI timelines and AI adoption while discussing deepfakes, healthcare, education and security.
1:12:31ENA Bare Model Closes 35% of Airline Changes. Sierra's Agents Clear 70% of Real Tickets.Clay Bavor on why putting a raw LLM in front of customers does not math, and how AgentOS, supervisor agents, and outcome pricing change the arithmetic.
0:27ENImran Khan on Google’s Early AOL PartnershipA short account of distribution and brand-building.
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