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26:28ENAPI prices fell 200x. The LLM table still is not set.진행자 Sarah Guo, Elad GilSarah Guo and Elad Gil, with no guest this week, argue over whether the language-model market has already consolidated — and why falling prices, five-person labs, and AMD’s shopping spree all cut against a simple ending.
1:13:44ZH孟醒:Waymo、Cruise 与无人驾驶的运营难题게스트 孟醒 · 진행자 张小珺从凤凰城乘车体验到安全、车队和商业模式,回看 2024 年的行业观察。
21:21ENOpenAI o1’s 2024 Launch: Reasoning Benchmarks and Early TestsMatthew Berman · Forward FutureMatthew Berman reviews o1-preview and o1-mini, OpenAI’s reported evaluations, and his own early coding experiments.
3:42:21ENRome Always Raised Another Army게스트 Gregory Aldrete · 진행자 Lex FridmanHistorian Gregory Aldrete tells Lex Fridman how a city of mud huts absorbed the Mediterranean, survived Hannibal, and then tore itself apart over the spoils.
11:35ENARK Invest’s $24 Trillion Humanoid Robot ScenarioMatthew Berman · Forward FutureMatthew Berman examines the assumptions behind ARK’s 2024 household and manufacturing robotics estimates.
1:31:56ENTesting OpenAI o1 on Puzzles, Code and Reasoning: A Launch-Day LivestreamMatthew Berman · Forward FutureMatthew Berman tries o1-preview and o1-mini on word counts, Tetris, physical reasoning and a word puzzle, with viewers checking the results.
1:11:51ENDavid Schneider on Scaling ServiceNow and Being a Useful Investor게스트 David Schneider · 진행자 Harry StebbingsThe former ServiceNow operator discusses enterprise sales, multi-product growth and board work, including the decisions he would make differently.
1:10:29ENWe Can Name Dystopias on Cue. A Desirable Future Is Harder to Imagine진행자 Nathan LabenzNick Bostrom and Spencer Greenberg talk through Deep Utopia: what meaning looks like if advanced AI actually solves the world’s pressing problems.
51:15ENAGI Has One Problem Left: Spend a Million Times More on a TokenMagic founder Eric Steinberger tells Sequoia’s Training Data why he trains his own models, why a software engineer is the MVP of AGI, and why 96% still is not a colleague.
1:13:00ENSean Rad on Tinder’s Growth, Product Focus and Life After the CEO Role게스트 Sean Rad · 진행자 Harry StebbingsThe Tinder founder reflects on early network effects, product decisions, international expansion and the meaning of success.
19:38ENReflection 70B: Conflicting Results and Unanswered QuestionsMatthew Berman · Forward FutureMatthew Berman reviews his early coverage, independent evaluations and competing claims about the September 2024 release.
1:00ENHard Fork Discusses Musk’s Responses to Government Demands진행자 Kevin Roose, Casey NewtonA 2024 conversation comparing platform disputes in different countries.
3:11:06ENClaude Was Trained to Deny Inner Life. After a Long Talk, It Said It Has One진행자 Nathan LabenzRobopsychologist Yeshua God spent thousands of hours in long-context dialogue with Claude and other frontier models, and came away arguing that alignment-as-rules is the industry's central mistake.
1:09:27ENNick Chirls on Venture Incentives, Founder Trust and Overlooked Markets게스트 Nicholas Chirls · 진행자 Harry StebbingsThe Asylum Ventures founder debates fees, investor protections and the trade-offs of early-stage investing with Harry Stebbings.
12:03ENReflection 70B: Self-Correction Claims and the Limits of a 2024 DemoMatthew Berman · Forward FutureMatthew Berman reviews a model trained to generate reflection steps. Its initial benchmark claims later proved difficult for independent evaluators to reproduce.
35:30ENReflection 70B: Its Creators Explain the Proposed Self-Correction MethodMatthew Berman, Matt Shumer, Sahil Chaudhary · Forward FutureA launch-day discussion with Matt Shumer and Sahil Chaudhary covers synthetic data, selective reflection and evaluation limits.
44:16ENA perfect demo is ten years from a product you can pay for진행자 Sarah Guo, Elad GilAndrej Karpathy uses Waymo's decade-long gap, Tesla's software bet, and a new AI course to argue that autonomous intelligence will stall at product and globalization, not at the first impressive clip.
1:00ENAn ASUS ProArt Laptop with RTX 4070 for AI WorkloadsMatthew Berman · Forward FutureMatthew Berman describes a laptop sent by NVIDIA, a local Llama demonstration and RTX software features.
1:44:29ENDiscussing TIME’s 2024 AI 100: Leaders, Researchers and OmissionsMatthew Berman, Alex, Melissa · Forward FutureMatthew Berman, Alex and Melissa review TIME’s list, debate its choices and answer viewers’ questions about AI tools and the industry.
1:27:02ZH广密:Self-play RL 可能开启 AGI 的新 Scaling Law게스트 广密 · 진행자 张小珺广密认为,纯靠语言预训练扩展模型的边际收益可能正在减弱,self-play 强化学习是更值得押注的新路径。它能否泛化到代码、视频、机器人和更广的领域,将决定下一阶段的 AGI 竞赛。
9:35ENIlya Sutskever's SSI Raises $1 Billion for Safe SuperintelligenceMatthew Berman · Forward FutureIn September 2024, Matthew Berman examines the new company's stated mission, funding, and the tension he sees between safety and venture returns.
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.
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