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1:59:47ENBCI Would Take 30 Years. This Studio Pivoted to Alignment InsteadModeration: Nathan LabenzJudd Rosenblatt and Mike Vaiana of AE Studio describe two biologically inspired results that do not need interpretability breakthroughs to work.
1:06:48ENo1 Is Slow and Hard to Use. Percy Liang Still Calls It a Turning PointModeration: Jacob EffronStanford’s Percy Liang splits OpenAI’s o1 into a disappointing product and the most important research signal in years.
45:22ENAlphaGo Thought 30 Seconds a Move. o1 Made “Think Longer” GeneralOpenAI researchers Noam Brown, Ilge Akkaya, and Hunter Lightman on teaching language models to reason, the generator-verifier gap, and a second scaling curve at inference time.
18:54ENAI News in October 2024: DevDay, Leadership Changes and New ModelsMatthew Berman · Forward FutureMatthew Berman reviews OpenAI developer announcements, a vetoed California bill, Pika 1.5 and Liquid AI models.
2:38:56ENHow Anthropic Decides a Model Can Ship: Red Lines, Yellow Lines, and 8% of Staff on SecurityModeration: Nathan LabenzNick Joseph, Anthropic's head of training, walks Rob Wiblin through the company's Responsible Scaling Policy — and the fight over whether a voluntary promise can hold when a launch is on the line.
39:05ZH王小川:o1、强化学习与从快思考走向慢思考Gast: 王小川 · Moderation: 张小珺百川智能创始人解读 o1 的可能技术路径,讨论强化学习、医疗场景和创业公司的选择。
39:45ENHarmonic’s Bet: Teach AI Math Directly, and the Riemann Hypothesis Falls by 2029Robinhood’s Vlad Tenev and Harmonic co-founder Tudor Achim tell Sequoia why math is reasoning, why Lean is the verifier, and why they refuse to wait for mathematical skill to emerge from scale.
1:18:32ENA DNA Model That Can Tell Which Genes You Cannot TouchModeration: Nathan LabenzStanford's Brian Hie walks through hybrid architectures, a genome-scale language model trained only on DNA, and an antibody that binds 25 times tighter than nature.
18:09ENAI News in September 2024: Copilot, NotebookLM, o1 and World ModelsMatthew Berman · Forward FutureMatthew Berman reviews a week of AI announcements, from workplace assistants and audio overviews to benchmark results, generative video and spatial AI.
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.
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.
1:23:57ENA Training Run Is a Particle Collider—and the China Contest Is a Fifty-Year RaceModeration: 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.
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.
1:30:37EN64 Bytes of Random Code, and Computational Life Showed Up AnywayModeration: 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.
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.
20:25ENAI News in August 2024: Robots, Model Tools and RisksMatthew Berman · Forward FutureMatthew Berman surveys humanoid robotics, AI influence operations, new model tools and the debate over California safety legislation.
18:43ENSakana AI's AI Scientist and the Prospect of Automated ResearchMatthew Berman · Forward FutureMatthew Berman explores a 2024 system for generating and evaluating machine-learning research, and argues that automation could eventually accelerate AI progress.
18:39ENAI Scientist, Grok-2 and Agent Q: Matthew Berman’s August 2024 AI News RoundupMatthew Berman · Forward FutureA week of model releases, web agents and AI research raises questions about benchmarks, automation and the gap between prototypes and predictions.
1:52:00EN4,096 Numbers Have to Carry Every Concept. Goodfire Wants the KnobsModeration: Nathan LabenzDan Balsam and Tom McGrath explain how sparse autoencoders unpack a language model's residual stream — and why a public-benefit startup is trying to make that a product.
1:33:07ZH广密复盘全球大模型这一年:Scaling Law、AGI 豪赌与中美格局Gast: 李广密 · Moderation: 张小珺拾象创始人李广密从硅谷一线观察出发,回顾 OpenAI、Anthropic、Google 与中国模型公司的竞争。他认为,模型能力与成本共同决定新一轮应用爆发,而巨额投入押注的是智能能否持续扩展以及 AI 对经济和产业的长期重构。
1:41:15ENIf Snail Experts Can't Agree, Nobody Gets to Be Sure About AI ConsciousnessModeration: Nathan LabenzPhilosopher Eric Schwitzgebel argues that every major theory of consciousness has to swallow bizarre bullets, and that confident claims about AI sentience are not epistemically justified.
14:32ENOpenAI Departures, Developer Tools and Synthetic Media: An August 2024 AI RoundupMatthew Berman · Forward FutureMatthew Berman reviews leadership changes, training-data disputes, structured API output, Qwen2-Math and emerging deepfake tools.
16:06ENQ* and Strawberry: What Was Known and Speculated in August 2024Matthew Berman · Forward FutureMatthew Berman reviews contemporary rumors and research concepts around reasoning, search and self-play, while the underlying project remained undisclosed.
20:40ENSearchGPT, Llama 3.1 and AlphaProof: A July 2024 AI News RoundupMatthew Berman · Forward FutureMatthew Berman reviews new models, search, audio tools, OpenAI policy questions and DeepMind’s mathematical reasoning result.
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