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1:42:17EN
Cognitive Revolution "How AI Changes Everything"· Apr 20, 2024PodcastThe Cheapest Inference Provider Is the Most DangerousHost 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.Infrastructure & deploymentInferenceAI cost & performance+3
3 slides12:37EN
Matthew Berman· Apr 2, 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.Infrastructure & deploymentSemiconductorsAI cost & performance+2
3 slides51:11EN
Matthew Berman· Mar 22, 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.Infrastructure & deploymentInferenceAI cost & performance
38:33EN
No Priors: AI, Machine Learning, Tech, & Startups· Mar 21, 2024Podcast · 2 speakersSpeed Is the Thing You Can Buy: Baseten’s Bet on InferenceHost 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.Infrastructure & deploymentInferenceAI cost & performance+3
42:14EN
No Priors: AI, Machine Learning, Tech, & Startups· Mar 7, 2024Podcast · 2 speakersMeta’s $197 Billion Day Was a Partial Answer to AI’s $200 Billion QuestionHost 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.Enterprise & strategyAI StrategyEnterprise AI+3
15:58EN
Matthew Berman· Mar 2, 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· Feb 29, 2024Podcast · 2 speakersMI300 Leads Inference by 2x: AMD's CTO on Winning Chip Competition Without a Walled GardenHost 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.Infrastructure & deploymentInferenceAI cost & performance+3
8 slides13:19EN
Matthew Berman· Jan 18, 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 ModelsInfrastructure & deployment+1
3:37EN
Matthew Berman· Jan 18, 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 HistoryInfrastructure & deployment+1
39:36EN
No Priors: AI, Machine Learning, Tech, & Startups· Dec 14, 2023Podcast · 2 speakersThe Most Underestimated AI Buyer Is the Shop on the CornerHost 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.Enterprise & strategyProduct StrategyAI Adoption+3
55:34EN
Jane Street· Nov 29, 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 engineeringObservability & reliabilityProgramming Languages+2
4 slides17:43EN
Matthew Berman· Nov 6, 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.OpenAIInfrastructure & deploymentAgent engineering+2
1:19:52EN
Cognitive Revolution "How AI Changes Everything"· Oct 18, 2023Podcast1,000 H100s Take 115 Days; 22,000 Take FiveHost 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.Models & trainingAI researchModel Interpretability+3
4 slides7:02EN
Matthew Berman· Oct 18, 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.Agent engineeringOpen-weight modelsMulti-agent systems+2
3 slides4:42EN
Matthew Berman· Oct 17, 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.AgentsOpen-weight modelsInfrastructure & deployment
30:03EN
No Priors: AI, Machine Learning, Tech, & Startups· Sep 7, 2023Podcast · 2 speakersA Dinner-Plate Chip Cut Training From 60 Days to 3.5Host 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.Infrastructure & deploymentInferenceAI cost & performance+3
4 slides4:35EN
Matthew Berman· Sep 5, 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.Models & trainingInfrastructure & deploymentCoding agents
38:13EN
No Priors: AI, Machine Learning, Tech, & Startups· Aug 31, 2023Podcast · 2 speakersChatGPT Runs on His Framework. He Still Doesn't Want You Training a ModelHost 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.Infrastructure & deploymentDeveloper workflows & testingObservability & reliability+3
1:01:26EN
Cognitive Revolution "How AI Changes Everything"· Jul 25, 2023PodcastAlexNet Used Two GPUs. GPT-4 Took Twenty Thousand. The Shortage Will Be Back.Host Nathan LabenzRun:ai CTO Ronen Dar on filling idle accelerators, why H100s can be cheaper per experiment, and why Llama 2 undercuts compute governance.Infrastructure & deploymentAI cost & performanceDistributed training & inference+3
3:08:46EN
Lex Fridman· Jun 29, 2023Podcast · 2 speakersWho owns the off switch? George Hotz on tinygrad, open-source AI, and GodGuest George Hotz · Host 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.Open source & communityInfrastructure & deploymentOpen-source ecosystems+3
3 slides8:17EN
Matthew Berman· Jun 22, 2023Using OpenLLM to Serve Open Models Through an APIMatthew Berman · Forward FutureMatthew Berman demonstrates a local model server, its interactive API and a Python client in a 2023 walkthrough.Open-weight modelsInferenceInfrastructure & deployment+1
5 slides9:46EN
Matthew Berman· Jun 19, 2023Installing Text Generation WebUI on Windows: A 2023 Local-Model WalkthroughMatthew Berman · Forward FutureMatthew Berman installs an early version of Text Generation WebUI, resolves setup errors and explains model downloads and interface settings. The steps and packages are historical; consult the project’s current documentation for a modern installation.Local inferenceOpen-weight modelsInfrastructure & deployment+1
3:34:03EN
Lex Fridman· Jun 2, 2023Podcast · 2 speakersPython Isn't Finished: Chris Lattner on Mojo and the Hardware MessGuest Chris Lattner · Host Lex FridmanThe LLVM creator returns to Lex Fridman to argue that Python should grow C-like performance instead of forcing people out of the language.Infrastructure & deploymentAI platform engineeringSoftware engineering+3
6 slides11:49EN
Matthew Berman· Jun 1, 2023Testing Wizard-Vicuna 30B: Responses, Reasoning, and CodeMatthew Berman · Forward FutureMatthew Berman examines a model marketed as uncensored, demonstrates a 2023 cloud setup, and runs an informal collection of tests.Models & trainingEvalsAI Safety+1
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