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슬라이드0:54EN
MBMatthew Berman· 2024년 9월 16일OpenAI’s o1 Preview: A First Look at Longer ReasoningMatthew Berman · Forward FutureMatthew Berman introduces the o1-preview and o1-mini models and tries a Python game prompt.모델과 학습Inference
슬라이드 2장35:30EN
MBMatthew Berman· 2024년 9월 6일Reflection 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.모델과 학습Data quality & curation평가(Evals)+2
1:03:46EN
20VC with Harry Stebbings· 2024년 9월 4일팟캐스트 · 2명Zico 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.AI SafetyPrompt injectionOpen-weight models+2
50:20EN
20VC with Harry Stebbings· 2024년 8월 28일팟캐스트 · 2명Arvind 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.모델과 학습Scaling LawsAI Safety+2
슬라이드 2장9:43EN
MBMatthew Berman· 2024년 8월 26일Matthew Berman Tests Jamba 1.5 on Coding and Reasoning PromptsMatthew Berman · Forward FutureA 2024 hands-on test of AI21’s hybrid model finds slow output in one hosted session and mixed answers to a small set of prompts.모델과 학습평가(Evals)
1:03:26EN
20VC with Harry Stebbings· 2024년 8월 19일팟캐스트 · 2명Aidan Gomez on Model Scaling, Data and Enterprise AI게스트 Aidan Gomez · 진행자 Harry StebbingsThe Cohere CEO discusses the economics of foundation models, enterprise adoption, AI agents and the future he hopes the technology will enable.Foundation Models모델과 학습엔터프라이즈 AI+2
1:33:07ZH
Zhang Xiaojun Podcast· 2024년 8월 17일팟캐스트 · 2명广密复盘全球大模型这一年:Scaling Law、AGI 豪赌与中美格局게스트 李广密 · 진행자 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。모델과 학습Scaling LawsAI research+2
49:41ZH
Zhang Xiaojun Podcast· 2024년 8월 17일팟캐스트 · 3명傅盛:大模型是生产力革命,机器人迎来新的窗口게스트 傅盛 · 진행자 张小珺傅盛认为,大模型的核心是逻辑与推理能力,它带来的变化更像蒸汽机,而不是一次普通的互联网迭代。从平民化模型、服务机器人到创业者如何面对低谷,他也回看了自己的判断与心境。AI Strategy모델과 학습Robotics+2
2:04:15EN
Cognitive Revolution "How AI Changes Everything"· 2024년 8월 14일팟캐스트A parrot cannot paraphrase — and Claude cannot be talked into harm진행자 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.모델과 학습Model InterpretabilityMultimodal AI+3
슬라이드 2장16:06EN
MBMatthew Berman· 2024년 8월 9일Q* 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.모델과 학습AI researchAGI(범용 인공지능)
46:09EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024년 8월 1일팟캐스트 · 2명Oriol Vinyals: The Days of Burning 90% of Compute on Pretraining Are Numbered진행자 Sarah Guo, Elad GilGoogle DeepMind’s VP of research on Gemini, long context, the coming shift from pretraining to RL, and why AGI may never have a finish line.모델과 학습AGI TimelinesPretraining & midtraining+3
슬라이드 3장13:40EN
MBMatthew Berman· 2024년 7월 29일Testing Llama 3.1 8B: Benchmark Gains and Mixed Practical ResultsMatthew Berman · Forward FutureMatthew Berman tests coding, reasoning and other prompts on the small model and finds several failures despite stronger reported benchmarks.Open-weight models평가(Evals)모델과 학습+1
0:58EN
MBMatthew Berman· 2024년 7월 11일NVIDIA NIM: Containerized AI Inference MicroservicesMatthew Berman · Forward FutureA sponsored overview of NVIDIA’s approach to packaging model inference for local and cloud applications.인프라와 배포모델과 학습
슬라이드 6장18:57EN
MBMatthew Berman· 2024년 7월 9일AI News in July 2024: Small Models, Voice Tools and OpenAI SecurityMatthew Berman, Andrej Karpathy · Forward FutureMatthew Berman reviews AI product announcements, model evaluation and security reporting, and shares his predictions about the future of computing.AI research모델과 학습AI security+2
1:42:16EN
Cognitive Revolution "How AI Changes Everything"· 2024년 7월 4일팟캐스트267 Papers in Seven Months: Albert Gu Explains the State Space Model Revolution진행자 Nathan LabenzThe Mamba co-author walks through five years of recurrent-model work, why selective compression beats a growing KV cache, and what Mamba 2 trades away to train faster.모델과 학습Transformers & attentionInference+3
34:09EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024년 6월 27일팟캐스트 · 2명Five Independent Teams Found the Same 10-to-1 Mix That Beats Transformers진행자 Sarah Guo, Elad GilThe authors of S4 and Mamba argue that mostly state-space layers plus a dash of attention is the architecture that actually works—and they are shipping it first as real-time speech.모델과 학습Transformers & attention음성 AI+3
1:54:01EN
Cognitive Revolution "How AI Changes Everything"· 2024년 6월 26일팟캐스트A Tiny Network Grew a Salt Crystal the Training Data Never Showed진행자 Nathan LabenzTim Duignan trained tens of thousands of parameters on salt water. The model invented a crystal — and a continuum solvent theory he had spent a PhD failing to write by hand.모델과 학습AI for science머신러닝 기초+3
58:18EN
20VC with Harry Stebbings· 2024년 6월 24일팟캐스트 · 2명David Luan on Model Scaling, AI Agents and Competition Across the Chip Stack게스트 David Luan · 진행자 Harry StebbingsThe Adept co-founder explains his views on compute, vertical integration, enterprise agents and why human interaction should shape AI product design.AI agents모델과 학습Semiconductors+2
1:37:07EN
Cognitive Revolution "How AI Changes Everything"· 2024년 6월 22일팟캐스트A Text-Only AI Outdiagnosed GPs. Google Still Won't Ship It.진행자 Nathan LabenzGoogle researchers Vivek Natarajan and Khaled Saab walk Nathan Labenz through five medical-AI papers, from radiology reports to an AI doctor that still has to earn trust.모델과 학습AI in healthcareMultimodal AI+3
슬라이드 5장13:18EN
MBMatthew Berman· 2024년 6월 20일Testing Local AI on a Dual RTX 6000 WorkstationMatthew Berman · Forward FutureMatthew Berman tests language models, concurrent inference, and image generation on a Dell Precision tower supplied by Dell and NVIDIA.Local inferenceInference모델과 학습+2
1:06:04EN
20VC with Harry Stebbings· 2024년 6월 12일팟캐스트 · 2명Alexandr Wang on AI Data, Model Development and Building Scale게스트 Alexandr Wang · 진행자 Harry StebbingsScale’s founder discusses his data-bottleneck thesis, enterprise adoption, AI security and the challenges of growing a team.Data quality & curation모델과 학습AI Strategy+2
1:03:12EN
20VC with Harry Stebbings· 2024년 6월 5일팟캐스트 · 2명Aravind Srinivas on Reasoning, Model Economics and Building Perplexity게스트 Aravind Srinivas · 진행자 Harry StebbingsThe Perplexity co-founder discusses AI scaling, foundation-model competition, advertising and the challenges of building a search product.모델과 학습Reasoning & test-time computeAI Strategy+2
1:59:15EN
Cognitive Revolution "How AI Changes Everything"· 2024년 5월 25일팟캐스트A Protein Backbone in a Minute: The Real Progress, Bottlenecks, and Risks of AI Biology진행자 Nathan LabenzThe White House set a thousand-fold lower reporting bar for biological models than for language models—and this conversation shows why that gap already looks prescient.모델과 학습AI for scienceComputational Biology+3
58:28EN
Cognitive Revolution "How AI Changes Everything"· 2024년 5월 22일팟캐스트From Jailbreaking ChatGPT to Anthropic’s First Prompt Engineer: How Alex Albert Ships Claude 3진행자 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.모델과 학습안전과 거버넌스평가(Evals)+3
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