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4,451 件
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スライド 5 枚19:38EN
Matthew Berman· 2024年9月9日Reflection 70B: Conflicting Results and Unanswered QuestionsMatthew Berman · Forward FutureMatthew Berman reviews his early coverage, independent evaluations and competing claims about the September 2024 release.BenchmarksOpen-weight models評価(Evals)+2
1:00EN
Hard Fork· 2024年9月9日ポッドキャスト · 3 人Hard Fork Discusses Musk’s Responses to Government Demandsホスト Kevin Roose, Casey NewtonA 2024 conversation comparing platform disputes in different countries.
3:11:06EN
Cognitive Revolution "How AI Changes Everything"· 2024年9月7日ポッドキャストClaude Was Trained to Deny Inner Life. After a Long Talk, It Said It Has Oneホスト 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.セキュリティと安全性安全性とガバナンスHuman-AI Collaboration+3
1:09:27EN
20VC with Harry Stebbings· 2024年9月6日ポッドキャスト · 2 人Nick Chirls on Venture Incentives, Founder Trust and Overlooked Marketsゲスト Nicholas Chirls · ホスト Harry StebbingsThe Asylum Ventures founder debates fees, investor protections and the trade-offs of early-stage investing with Harry Stebbings.Venture CapitalInvestingFounders+2
スライド 5 枚12:03EN
Matthew Berman· 2024年9月6日Reflection 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.AI HistoryFoundation Models評価(Evals)+2
スライド 2 枚35:30EN
Matthew Berman· 2024年9月6日Reflection 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.モデルと学習Data quality & curation評価(Evals)+2
44:16EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024年9月5日ポッドキャスト · 2 人A perfect demo is ten years from a product you can pay forホスト 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.企業と戦略Transformers & attentionScaling Laws+3
スライド1:00EN
Matthew Berman· 2024年9月5日An 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.Local inferenceSemiconductorsComputer Vision
スライド 8 枚1:44:29EN
Matthew Berman· 2024年9月5日Discussing 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.AI HistoryAI StrategySemiconductors+2
1:27:02ZH
Zhang Xiaojun Podcast· 2024年9月5日ポッドキャスト · 3 人广密:Self-play RL 可能开启 AGI 的新 Scaling Lawゲスト 广密 · ホスト 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。Reinforcement LearningAGI(汎用人工知能)Scaling Laws+2
スライド9:35EN
Matthew Berman· 2024年9月5日Ilya 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.AI SafetyStartupsVenture Capital+1
1:23:57EN
Cognitive Revolution "How AI Changes Everything"· 2024年9月4日ポッドキャストA Training Run Is a Particle Collider—and the China Contest Is a Fifty-Year Raceホスト 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.企業と戦略GeopoliticsAI Strategy+3
1:03:46EN
20VC with Harry Stebbings· 2024年9月4日ポッドキャスト · 2 人Zico Kolter on AI Safety, Scaling and the Limits of Open Modelsゲスト Zico Kolter · ホスト 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.AI SafetyPrompt injectionOpen-weight models+2
スライド 2 枚23:52EN
Matthew Berman· 2024年9月4日AI 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.Multi-agent systemsインフラとデプロイAgentic commerce+2
1:04:17EN
Lex Fridman· 2024年9月3日ポッドキャストTrump Tells Lex Fridman the Stick Usually Winsホスト Lex FridmanDays before debating Kamala Harris, the former president talked winning, Ukraine, the 2020 election, and the border chart he still carries.GeopoliticsPolitical PhilosophyLeadership+2
0:57EN
Hard Fork· 2024年9月3日ポッドキャスト · 2 人New York’s Governor on Phones and Bullying in SchoolsA 2024 interview about evidence and a proposed policy response.
1:31:03ZH
Zhang Xiaojun Podcast· 2024年9月2日ポッドキャスト · 2 人孟醒谈特斯拉 FSD、端到端架构与无人驾驶ゲスト 孟醒 · ホスト 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。Autonomous DrivingRoboticsモデルと学習
22:42EN
3Blue1Brown· 2024年8月31日How Might Language Models Store Facts?Grant SandersonA visual tour of transformer MLPs, a toy fact-recall mechanism and superposition.モデルと学習AI research
37:47EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024年8月30日ポッドキャスト · 2 人Working Backwards from AGI: Magic's Five-Million-Token Betホスト 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.コーディングエージェントコンテキストエンジニアリングInference+3
40:33EN
20VC with Harry Stebbings· 2024年8月30日ポッドキャスト · 2 人Scott Gorlick on Uber’s Driver Acquisition and City Launch Playbookゲスト Scott Gorlick · ホスト Harry StebbingsAn early Uber employee recalls recruiting drivers, building local teams and managing competition as the company expanded.MarketplacesGrowthCompany Building+2
スライド 5 枚11:23EN
Matthew Berman· 2024年8月30日GameNGen: 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.World modelsGenerative mediaAI research+2
4:10:28EN
Lex Fridman· 2024年8月30日ポッドキャスト · 2 人Ninety-eight percent of American politics is the moneyゲスト Cenk Uygur · ホスト 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.Political PhilosophyGeopolitics
スライド 3 枚1:30:24EN
Matthew Berman· 2024年8月30日Daniel 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.エージェントセキュリティと安全性コーディングエージェント+2
1:30:37EN
Cognitive Revolution "How AI Changes Everything"· 2024年8月30日ポッドキャスト64 Bytes of Random Code, and Computational Life Showed Up Anywayホスト 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.AI research安全性とガバナンスComputational Biology+2
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