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5 diapositivas1:13:59EN
Matthew Berman· 5 jun 2024Jensen Huang’s Computex 2024 Vision: NIM, Blackwell and Physical AIMatthew Berman, Jensen Huang · Forward FutureMatthew Berman presents NVIDIA’s keynote on AI infrastructure, digital humans, weather simulation and robot factories, with the demonstrations and vendor claims in context.SemiconductorsInfraestructura y despliegueRobotics+2
31:04EN
Cognitive Revolution "How AI Changes Everything"· 4 jun 2024PódcastThe Risk Is Not China Copying. It Is America Refusing to Use the ToolsPresenta: 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.Empresa y estrategiaGeopoliticsSeguridad y gobernanza+3
39:00EN
No Priors: AI, Machine Learning, Tech, & Startups· 22 may 2024Pódcast · 2 vocesJPMorgan Has 150 Petabytes. GPT-4 Trained on Less Than One.Presenta: 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.Infraestructura y despliegueData quality & curationPost-training+3
1:00EN
Matthew Berman· 16 may 2024Matthew Berman Questions a Proposal for GPU AttestationMatthew Berman · Forward FutureBerman worries that cryptographic hardware checks could become a gatekeeper for AI computing. The short clip does not establish that such a universal approval system exists.AI securitySeguridad y gobernanzaInfraestructura y despliegue
29:09EN
No Priors: AI, Machine Learning, Tech, & Startups· 9 may 2024Pódcast · 2 vocesThe Hyperscalers Are Spending $200 Billion — and the Next Bottleneck Is a Power PlantPresenta: 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.Infraestructura y despliegueAI cost & performanceIngeniería de contexto+3
1:52:18EN
Cognitive Revolution "How AI Changes Everything"· 6 may 2024PódcastTwo Weeks, Thirty Compiles: How Adam Majmudar Wrote a GPU From ScratchPresenta: Nathan LabenzA Cognitive Revolution walkthrough of TinyGPU, from SIMD kernels and memory latency to an open-source chip flow that runs on a laptop.Infraestructura y despliegueGPU programming & kernelsOpen-source ecosystems+2
1:42:17EN
Cognitive Revolution "How AI Changes Everything"· 20 abr 2024PódcastThe Cheapest Inference Provider Is the Most DangerousPresenta: 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.Infraestructura y despliegueInferenceAI cost & performance+3
3 diapositivas12:37EN
Matthew Berman· 2 abr 2024The Reported Stargate Supercomputer and AI’s Compute BottleneckMatthew Berman, Sam Altman, Elon Musk · Forward FutureIn April 2024, Matthew Berman examines a reported Microsoft–OpenAI data-center proposal and argues that chips and electricity could shape the AI industry.Infraestructura y despliegueSemiconductorsAI cost & performance+2
3 diapositivas51:11EN
Matthew Berman· 22 mar 2024Inside 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.Infraestructura y despliegueInferenceAI cost & performance
38:33EN
No Priors: AI, Machine Learning, Tech, & Startups· 21 mar 2024Pódcast · 2 vocesSpeed Is the Thing You Can Buy: Baseten’s Bet on InferencePresenta: 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.Infraestructura y despliegueInferenceAI cost & performance+3
42:14EN
No Priors: AI, Machine Learning, Tech, & Startups· 7 mar 2024Pódcast · 2 vocesMeta’s $197 Billion Day Was a Partial Answer to AI’s $200 Billion QuestionPresenta: 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.Empresa y estrategiaAI StrategyIA empresarial+3
15:58EN
Matthew Berman· 2 mar 2024Elon 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· 29 feb 2024Pódcast · 2 vocesMI300 Leads Inference by 2x: AMD's CTO on Winning Chip Competition Without a Walled GardenPresenta: 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.Infraestructura y despliegueInferenceAI cost & performance+3
8 diapositivas13:19EN
Matthew Berman· 18 ene 2024Running a Local Language Model as an Offline BackupMatthew Berman · Forward FutureMatthew Berman demonstrates a 2024 local-model setup, from selecting a quantized model and storing it on an external drive to planning backup power.Local inferenceFoundation ModelsInfraestructura y despliegue+1
3:37EN
Matthew Berman· 18 ene 2024Mark 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 HistoryInfraestructura y despliegue+1
39:36EN
No Priors: AI, Machine Learning, Tech, & Startups· 14 dic 2023Pódcast · 2 vocesThe Most Underestimated AI Buyer Is the Shop on the CornerPresenta: 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.Empresa y estrategiaProduct StrategyAI Adoption+3
55:34EN
Jane Street· 29 nov 2023Andrew 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 engineeringObservabilidad y fiabilidadProgramming Languages+2
4 diapositivas17:43EN
Matthew Berman· 6 nov 2023OpenAI DevDay 2023: GPT-4 Turbo, Custom GPTs and Developer ToolsMatthew Berman, Sam Altman, Satya Nadella · Forward FutureMatthew Berman reviews OpenAI’s 2023 announcements, from longer context and cheaper API calls to custom GPTs and their implications for developers.OpenAIInfraestructura y despliegueIngeniería de agentes+2
1:19:52EN
Cognitive Revolution "How AI Changes Everything"· 18 oct 2023Pódcast1,000 H100s Take 115 Days; 22,000 Take FivePresenta: 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.Modelos y entrenamientoAI researchModel Interpretability+3
4 diapositivas7:02EN
Matthew Berman· 18 oct 2023Connecting AutoGen to a RunPod-Hosted Model with Text Generation WebUIMatthew Berman · Forward FutureIn a 2023 walkthrough, Matthew Berman connects AutoGen to Dolphin 2.1 Mistral 7B through an OpenAI-compatible API and tests a small coding task.Ingeniería de agentesOpen-weight modelsMulti-agent systems+2
3 diapositivas4:42EN
Matthew Berman· 17 oct 2023Connecting 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.AgentesOpen-weight modelsInfraestructura y despliegue
30:03EN
No Priors: AI, Machine Learning, Tech, & Startups· 7 sept 2023Pódcast · 2 vocesA Dinner-Plate Chip Cut Training From 60 Days to 3.5Presenta: 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.Infraestructura y despliegueInferenceAI cost & performance+3
4 diapositivas4:35EN
Matthew Berman· 5 sept 2023Running WizardCoder on a Cloud GPU: A 2023 RunPod WalkthroughMatthew Berman · Forward FutureMatthew Berman demonstrates downloading a quantized 13B coding model into a hosted text-generation interface, then explains how to stop the pod and avoid ongoing charges.Modelos y entrenamientoInfraestructura y despliegueAgentes de programación
38:13EN
No Priors: AI, Machine Learning, Tech, & Startups· 31 ago 2023Pódcast · 2 vocesChatGPT Runs on His Framework. He Still Doesn't Want You Training a ModelPresenta: 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.Infraestructura y despliegueFlujos de desarrollo y pruebasObservabilidad y fiabilidad+3
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