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179 件
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3:16EN
JSJane Street· 2024年7月18日JP on Machine Learning and Trading at Jane StreetJP · Jane StreetA Hong Kong equities trader describes his changing workday, the growth of research infrastructure, and the distinctive challenges of machine learning in finance.Machine LearningFintechインフラとデプロイ+1
0:58EN
MBMatthew Berman· 2024年7月17日ASUS Vivobook S 15: A Copilot+ PC with an NPUMatthew Berman · Forward FutureMatthew Berman introduces the laptop and its local AI features in a sponsored short.プロダクトと UXインフラとデプロイ
0:58EN
MBMatthew 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.インフラとデプロイモデルと学習
スライド 2 枚0:53EN
MBMatthew Berman· 2024年6月7日NVIDIA’s Computex Keynote: Digital Humans, Weather and RoboticsMatthew Berman · Forward FutureMatthew Berman briefly reviews Jensen Huang’s announcements on AI-generated characters, weather modeling, Blackwell hardware and factory robots.Generative mediaインフラとデプロイRobotics
スライド0:59EN
MBMatthew Berman· 2024年6月6日NVIDIA’s Computex 2024 AI AnnouncementsMatthew Berman · Forward FutureMatthew Berman reviews gaming assistants, digital characters, AI laptops and developer tools in an NVIDIA partner video.AI interface designGenerative mediaインフラとデプロイ
31:04EN
Cognitive Revolution "How AI Changes Everything"· 2024年6月4日ポッドキャストThe Risk Is Not China Copying. It Is America Refusing to Use the Toolsホスト Nathan LabenzAt the 2024 Hill & Valley Forum, Alex Wang, Jack Clark, and Andrew Ng tell Senator Cory Booker that Chinese labs are inventing, open-source models are already strong, and the Pentagon’s real AI failure is under-adoption.企業と戦略Geopolitics安全性とガバナンス+3
39:00EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024年5月22日ポッドキャスト · 2 人JPMorgan Has 150 Petabytes. GPT-4 Trained on Less Than One.ホスト Sarah Guo, Elad GilScale AI founder Alexandr Wang tells No Priors why easy internet data is exhausted, why expert-plus-model teams still win, and why the path to AGI looks more like curing cancer than inventing a vaccine.インフラとデプロイData quality & curationPost-training+3
29:09EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024年5月9日ポッドキャスト · 2 人The Hyperscalers Are Spending $200 Billion — and the Next Bottleneck Is a Power Plantホスト Sarah Guo, Elad GilSarah Guo and Elad Gil walk through music models, on-device LLMs, long context, and why AI capex now sits beside oil and broadband.インフラとデプロイAI cost & performanceコンテキストエンジニアリング+3
1:52:18EN
Cognitive Revolution "How AI Changes Everything"· 2024年5月6日ポッドキャストTwo Weeks, Thirty Compiles: How Adam Majmudar Wrote a GPU From Scratchホスト Nathan LabenzA Cognitive Revolution walkthrough of TinyGPU, from SIMD kernels and memory latency to an open-source chip flow that runs on a laptop.インフラとデプロイGPU programming & kernelsOpen-source ecosystems+2
1:42:17EN
Cognitive Revolution "How AI Changes Everything"· 2024年4月20日ポッドキャストThe Cheapest Inference Provider Is the Most Dangerousホスト Nathan LabenzFireworks AI cofounders Lin Qiao and Dmytro Ivchenko explain why subsidized GPU bills vanish, how LoRA serving can cut cost a hundredfold, and why OpenAI is the rival that actually matters.インフラとデプロイInferenceAI cost & performance+3
スライド 3 枚51:11EN
MBMatthew Berman· 2024年3月22日Inside Groq’s LPU: Compilers, Chip Networks and Fast InferenceMatthew Berman, Andrew Ling, Igor Arsovski · Forward FutureGroq engineers Andrew Ling and Igor Arsovski explain their hardware and software design in a sponsored 2024 interview.インフラとデプロイInferenceAI cost & performance
38:33EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024年3月21日ポッドキャスト · 2 人Speed Is the Thing You Can Buy: Baseten’s Bet on Inferenceホスト Sarah Guo, Elad GilTuhin Srivastava tells Sarah Guo and Elad Gil why a six-person chatbot company running a billion tokens a day should not be building its own serving stack.インフラとデプロイInferenceAI cost & performance+3
42:14EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024年3月7日ポッドキャスト · 2 人Meta’s $197 Billion Day Was a Partial Answer to AI’s $200 Billion Questionホスト Sarah Guo, Elad GilSarah Guo and Elad Gil walk through Gemini, Mistral, NVIDIA’s upgrade cycle, Klarna’s support bot, and why the real AI spend still sits with the hyperscalers.企業と戦略AI Strategyエンタープライズ AI+3
15:58EN
MBMatthew Berman· 2024年3月2日Elon Musk on Self-Driving, AI Compute and Electricity ConstraintsElon Musk, Matthew Berman · TeslaA 2024 Bosch interview and Matthew Berman’s commentary explore autonomous vehicles, robots and the infrastructure needed for AI.Autonomous DrivingAGI TimelinesRobotics+2
39:03EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024年2月29日ポッドキャスト · 2 人MI300 Leads Inference by 2x: AMD's CTO on Winning Chip Competition Without a Walled Gardenホスト Sarah Guo, Elad GilWhen Mark Papermaster became AMD's CTO in fall 2011, nearly all of the company's revenue sat on PCs and gaming, Moore's Law was slowing, and everyone knew it needed a turnaround.インフラとデプロイInferenceAI cost & performance+3
3:37EN
MBMatthew Berman· 2024年1月18日Mark Zuckerberg Announces Llama 3 Training and Meta’s AI PlansMatthew Berman, Mark Zuckerberg · Forward FutureIn January 2024, Matthew Berman reacts to Zuckerberg’s remarks on general intelligence, compute and AI devices.Open-weight modelsAI Historyインフラとデプロイ+1
39:36EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023年12月14日ポッドキャスト · 2 人The Most Underestimated AI Buyer Is the Shop on the Cornerホスト Sarah Guo, Elad GilFormer Square CEO Alyssa Henry tells No Priors that generative AI is unlocking work small merchants always needed and never paid anyone to do.企業と戦略Product StrategyAI Adoption+3
55:34EN
JSJane Street· 2023年11月29日Andrew Hunter on Performance Engineering for Low-Latency SystemsYaron Minsky, Andrew Hunter · Jane StreetWhy small optimizations pay at hyperscale, why trading latency is harder to measure, and how profiling, tracing, language design and hardware fit together.Software engineeringオブザーバビリティと信頼性Programming Languages+2
1:19:52EN
Cognitive Revolution "How AI Changes Everything"· 2023年10月18日ポッドキャスト1,000 H100s Take 115 Days; 22,000 Take Fiveホスト Nathan LabenzNathan Labenz and Trey Kollmer walk through cluster math that turns GPT-4-scale training into a weekly experiment, then four papers on search-augmented models, recursive code improvers, spatial maps inside Llama 2, and what networks do when they have no idea.モデルと学習AI researchModel Interpretability+3
スライド 3 枚4:42EN
MBMatthew Berman· 2023年10月17日Connecting AutoGen to a Local Model With LM StudioMatthew Berman · Forward FutureMatthew Berman demonstrates an early local-model setup and explains where agent behavior still needs work.エージェントOpen-weight modelsインフラとデプロイ
30:03EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023年9月7日ポッドキャスト · 2 人A Dinner-Plate Chip Cut Training From 60 Days to 3.5ホスト Sarah Guo, Elad GilCerebras CEO Andrew Feldman tells No Priors why wafer-scale silicon, not another GPU, is the answer to the compute crunch — and why most production models will stay at 13 billion parameters or below.インフラとデプロイInferenceAI cost & performance+3
38:13EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023年8月31日ポッドキャスト · 2 人ChatGPT Runs on His Framework. He Still Doesn't Want You Training a Modelホスト Sarah Guo, Elad GilVercel founder Guillermo Rauch tells No Priors why frontend is the last mile of AI, why first-generation AI frameworks will be rewritten, and why bots are already stealing your tokens.インフラとデプロイ開発ワークフローとテストオブザーバビリティと信頼性+3
1:01:26EN
Cognitive Revolution "How AI Changes Everything"· 2023年7月25日ポッドキャストAlexNet Used Two GPUs. GPT-4 Took Twenty Thousand. The Shortage Will Be Back.ホスト Nathan LabenzRun:ai CTO Ronen Dar on filling idle accelerators, why H100s can be cheaper per experiment, and why Llama 2 undercuts compute governance.インフラとデプロイAI cost & performanceDistributed training & inference+3
3:08:46EN
Lex Fridman· 2023年6月29日ポッドキャスト · 2 人Who owns the off switch? George Hotz on tinygrad, open-source AI, and Godゲスト George Hotz · ホスト Lex FridmanOn his third Lex Fridman podcast, the comma.ai and tiny corp founder argues that compute, intelligence, and the off switch should live in people's houses, not in a trusted few.オープンソースとコミュニティインフラとデプロイOpen-source ecosystems+3
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