絞り込み結果
274 件並び順
0:54EN
Matthew Berman· 2024年9月16日OpenAI’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.
35:30ENMatthew 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.
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.
50:20EN20VC with Harry Stebbings· 2024年8月28日ポッドキャスト · 2 人Arvind Narayanan on AI Scaling, Real-World Risks and the Limits of Model Benchmarksゲスト Arvind Narayanan · ホスト Harry StebbingsThe Princeton professor challenges simple claims about scaling, AGI timelines and AI adoption while discussing deepfakes, healthcare, education and security.
9:43ENMatthew Berman· 2024年8月26日Matthew 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.
1:03:26EN20VC with Harry Stebbings· 2024年8月19日ポッドキャスト · 2 人Aidan Gomez on Model Scaling, Data and Enterprise AIゲスト Aidan Gomez · ホスト Harry StebbingsThe Cohere CEO discusses the economics of foundation models, enterprise adoption, AI agents and the future he hopes the technology will enable.
1:33:07ZH
Zhang Xiaojun Podcast· 2024年8月17日ポッドキャスト · 2 人广密复盘全球大模型这一年：Scaling Law、AGI 豪赌与中美格局ゲスト 李广密 · ホスト 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。
49:41ZHZhang Xiaojun Podcast· 2024年8月17日ポッドキャスト · 3 人傅盛：大模型是生产力革命，机器人迎来新的窗口ゲスト 傅盛 · ホスト 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。
2:04:15EN
Cognitive Revolution "How AI Changes Everything"· 2024年8月14日ポッドキャストA parrot cannot paraphrase — and Claude cannot be talked into harmホスト 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.
16:06ENMatthew Berman· 2024年8月9日Q* 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.
46:09EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024年8月1日ポッドキャスト · 2 人Oriol Vinyals: The Days of Burning 90% of Compute on Pretraining Are Numberedホスト 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.
13:40ENMatthew Berman· 2024年7月29日Testing 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.
0:58ENMatthew Berman· 2024年7月11日NVIDIA NIM: Containerized AI Inference MicroservicesMatthew Berman · Forward FutureA sponsored overview of NVIDIA’s approach to packaging model inference for local and cloud applications.
18:57ENMatthew Berman· 2024年7月9日AI 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.
1:42:16ENCognitive Revolution "How AI Changes Everything"· 2024年7月4日ポッドキャスト267 Papers in Seven Months: Albert Gu Explains the State Space Model Revolutionホスト 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.
34:09ENNo Priors: AI, Machine Learning, Tech, & Startups· 2024年6月27日ポッドキャスト · 2 人Five Independent Teams Found the Same 10-to-1 Mix That Beats Transformersホスト 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.
1:54:01ENCognitive Revolution "How AI Changes Everything"· 2024年6月26日ポッドキャストA Tiny Network Grew a Salt Crystal the Training Data Never Showedホスト 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.
58:18EN20VC with Harry Stebbings· 2024年6月24日ポッドキャスト · 2 人David Luan on Model Scaling, AI Agents and Competition Across the Chip Stackゲスト David Luan · ホスト Harry StebbingsThe Adept co-founder explains his views on compute, vertical integration, enterprise agents and why human interaction should shape AI product design.
1:37:07ENCognitive Revolution "How AI Changes Everything"· 2024年6月22日ポッドキャストA Text-Only AI Outdiagnosed GPs. Google Still Won't Ship It.ホスト 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.
13:18ENMatthew Berman· 2024年6月20日Testing 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.
1:06:04EN20VC with Harry Stebbings· 2024年6月12日ポッドキャスト · 2 人Alexandr Wang on AI Data, Model Development and Building Scaleゲスト Alexandr Wang · ホスト Harry StebbingsScale’s founder discusses his data-bottleneck thesis, enterprise adoption, AI security and the challenges of growing a team.
1:03:12EN20VC with Harry Stebbings· 2024年6月5日ポッドキャスト · 2 人Aravind Srinivas on Reasoning, Model Economics and Building Perplexityゲスト Aravind Srinivas · ホスト Harry StebbingsThe Perplexity co-founder discusses AI scaling, foundation-model competition, advertising and the challenges of building a search product.
1:59:15ENCognitive Revolution "How AI Changes Everything"· 2024年5月25日ポッドキャストA Protein Backbone in a Minute: The Real Progress, Bottlenecks, and Risks of AI Biologyホスト 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.
58:28ENCognitive Revolution "How AI Changes Everything"· 2024年5月22日ポッドキャストFrom Jailbreaking ChatGPT to Anthropic’s First Prompt Engineer: How Alex Albert Ships Claude 3ホスト 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.もっと見る274 件中 24 件を表示