Podcasts about nvidia gpus

Agentic AI is the theme of the show this year, and this time its multi-agent with orchestration! But first, we need to discuss the protestors. Paul and Richard have stories. So many stories! Build 2025 New Microsoft 365 Copilot features are rolling out now because it's a day that ends in y Tuning is the unexpected Build Bingo center square term - rolling out to agents GitHub Copilot is open source in VS Code, more Win32 app support improvements, no more fees in Microsoft Store A shift in making Windows 11 the best place for developers - some things said, some left unsaid Edge gets new AI features too of course New native app capabilities in Windows App SDK, React Native And, pre-Build, 50 million Visual Studio users Copilot for consumers does image generation now. Fun tip: You can Minecraft-ize photos OpenAI has a coding agent too, obviously And OpenAI is buying Jony Ive! Windows Administrator Protection is coming soon - And not just for businesses. This feels very much like the firewall in XP SP2, it's going to be disruptive New 24H2 features in Release Preview: New text actions in Click to Do, a lot more New 24H2 features in Dev and Beta: AI actions in File Explorer, Advanced Settings, Search improvements, more New 23H2 features, Windows 10 features in Release Preview Surface Laptop Studio RIP Calendar companion app for Windows 11/M365 Microsoft may finally put the Teams antitrust issue in the EU behind Xbox Fortnite returns to the Apple App Store Apple blocked it first, Epic complained to judge And Microsoft files a legal motion against Apple and for Epic Games Qualcomm job listing confirms Xbox plans to some degree What happens when you combine Qualcomm NPU with Nvidia GPU? Xbox May Update arrives and it's a big one Retro Classic Games for Xbox Game Pass Game Bar updates, Edge Game Assist, GeForce now etc. on PC Custom Xbox gift cards More streaming of your own games Hellblade II is coming from Xbox to PS5 Many more games coming to Xbox Game Pass across platforms Tips and Picks App pick of the week: You can try Microsoft's command line editor now Game pick of the week: Doom: The Dark Ages RunAs Radio this week: PowerShell 7.5 and DSC 3.0.0 with Jason Helmick Brown liquor pick of the week: Tamnavulin Sherry Cask Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: spaceship.com/twit uscloud.com

Agentic AI is the theme of the show this year, and this time its multi-agent with orchestration! But first, we need to discuss the protestors. Paul and Richard have stories. So many stories! Build 2025 New Microsoft 365 Copilot features are rolling out now because it's a day that ends in y Tuning is the unexpected Build Bingo center square term - rolling out to agents GitHub Copilot is open source in VS Code, more Win32 app support improvements, no more fees in Microsoft Store A shift in making Windows 11 the best place for developers - some things said, some left unsaid Edge gets new AI features too of course New native app capabilities in Windows App SDK, React Native And, pre-Build, 50 million Visual Studio users Copilot for consumers does image generation now. Fun tip: You can Minecraft-ize photos OpenAI has a coding agent too, obviously And OpenAI is buying Jony Ive! Windows Administrator Protection is coming soon - And not just for businesses. This feels very much like the firewall in XP SP2, it's going to be disruptive New 24H2 features in Release Preview: New text actions in Click to Do, a lot more New 24H2 features in Dev and Beta: AI actions in File Explorer, Advanced Settings, Search improvements, more New 23H2 features, Windows 10 features in Release Preview Surface Laptop Studio RIP Calendar companion app for Windows 11/M365 Microsoft may finally put the Teams antitrust issue in the EU behind Xbox Fortnite returns to the Apple App Store Apple blocked it first, Epic complained to judge And Microsoft files a legal motion against Apple and for Epic Games Qualcomm job listing confirms Xbox plans to some degree What happens when you combine Qualcomm NPU with Nvidia GPU? Xbox May Update arrives and it's a big one Retro Classic Games for Xbox Game Pass Game Bar updates, Edge Game Assist, GeForce now etc. on PC Custom Xbox gift cards More streaming of your own games Hellblade II is coming from Xbox to PS5 Many more games coming to Xbox Game Pass across platforms Tips and Picks App pick of the week: You can try Microsoft's command line editor now Game pick of the week: Doom: The Dark Ages RunAs Radio this week: PowerShell 7.5 and DSC 3.0.0 with Jason Helmick Brown liquor pick of the week: Tamnavulin Sherry Cask Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: spaceship.com/twit uscloud.com

Agentic AI is the theme of the show this year, and this time its multi-agent with orchestration! But first, we need to discuss the protestors. Paul and Richard have stories. So many stories! Build 2025 New Microsoft 365 Copilot features are rolling out now because it's a day that ends in y Tuning is the unexpected Build Bingo center square term - rolling out to agents GitHub Copilot is open source in VS Code, more Win32 app support improvements, no more fees in Microsoft Store A shift in making Windows 11 the best place for developers - some things said, some left unsaid Edge gets new AI features too of course New native app capabilities in Windows App SDK, React Native And, pre-Build, 50 million Visual Studio users Copilot for consumers does image generation now. Fun tip: You can Minecraft-ize photos OpenAI has a coding agent too, obviously And OpenAI is buying Jony Ive! Windows Administrator Protection is coming soon - And not just for businesses. This feels very much like the firewall in XP SP2, it's going to be disruptive New 24H2 features in Release Preview: New text actions in Click to Do, a lot more New 24H2 features in Dev and Beta: AI actions in File Explorer, Advanced Settings, Search improvements, more New 23H2 features, Windows 10 features in Release Preview Surface Laptop Studio RIP Calendar companion app for Windows 11/M365 Microsoft may finally put the Teams antitrust issue in the EU behind Xbox Fortnite returns to the Apple App Store Apple blocked it first, Epic complained to judge And Microsoft files a legal motion against Apple and for Epic Games Qualcomm job listing confirms Xbox plans to some degree What happens when you combine Qualcomm NPU with Nvidia GPU? Xbox May Update arrives and it's a big one Retro Classic Games for Xbox Game Pass Game Bar updates, Edge Game Assist, GeForce now etc. on PC Custom Xbox gift cards More streaming of your own games Hellblade II is coming from Xbox to PS5 Many more games coming to Xbox Game Pass across platforms Tips and Picks App pick of the week: You can try Microsoft's command line editor now Game pick of the week: Doom: The Dark Ages RunAs Radio this week: PowerShell 7.5 and DSC 3.0.0 with Jason Helmick Brown liquor pick of the week: Tamnavulin Sherry Cask Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: spaceship.com/twit uscloud.com

Agentic AI is the theme of the show this year, and this time its multi-agent with orchestration! But first, we need to discuss the protestors. Paul and Richard have stories. So many stories! Build 2025 New Microsoft 365 Copilot features are rolling out now because it's a day that ends in y Tuning is the unexpected Build Bingo center square term - rolling out to agents GitHub Copilot is open source in VS Code, more Win32 app support improvements, no more fees in Microsoft Store A shift in making Windows 11 the best place for developers - some things said, some left unsaid Edge gets new AI features too of course New native app capabilities in Windows App SDK, React Native And, pre-Build, 50 million Visual Studio users Copilot for consumers does image generation now. Fun tip: You can Minecraft-ize photos OpenAI has a coding agent too, obviously And OpenAI is buying Jony Ive! Windows Administrator Protection is coming soon - And not just for businesses. This feels very much like the firewall in XP SP2, it's going to be disruptive New 24H2 features in Release Preview: New text actions in Click to Do, a lot more New 24H2 features in Dev and Beta: AI actions in File Explorer, Advanced Settings, Search improvements, more New 23H2 features, Windows 10 features in Release Preview Surface Laptop Studio RIP Calendar companion app for Windows 11/M365 Microsoft may finally put the Teams antitrust issue in the EU behind Xbox Fortnite returns to the Apple App Store Apple blocked it first, Epic complained to judge And Microsoft files a legal motion against Apple and for Epic Games Qualcomm job listing confirms Xbox plans to some degree What happens when you combine Qualcomm NPU with Nvidia GPU? Xbox May Update arrives and it's a big one Retro Classic Games for Xbox Game Pass Game Bar updates, Edge Game Assist, GeForce now etc. on PC Custom Xbox gift cards More streaming of your own games Hellblade II is coming from Xbox to PS5 Many more games coming to Xbox Game Pass across platforms Tips and Picks App pick of the week: You can try Microsoft's command line editor now Game pick of the week: Doom: The Dark Ages RunAs Radio this week: PowerShell 7.5 and DSC 3.0.0 with Jason Helmick Brown liquor pick of the week: Tamnavulin Sherry Cask Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: spaceship.com/twit uscloud.com

Agentic AI is the theme of the show this year, and this time its multi-agent with orchestration! But first, we need to discuss the protestors. Paul and Richard have stories. So many stories! Build 2025 New Microsoft 365 Copilot features are rolling out now because it's a day that ends in y Tuning is the unexpected Build Bingo center square term - rolling out to agents GitHub Copilot is open source in VS Code, more Win32 app support improvements, no more fees in Microsoft Store A shift in making Windows 11 the best place for developers - some things said, some left unsaid Edge gets new AI features too of course New native app capabilities in Windows App SDK, React Native And, pre-Build, 50 million Visual Studio users Copilot for consumers does image generation now. Fun tip: You can Minecraft-ize photos OpenAI has a coding agent too, obviously And OpenAI is buying Jony Ive! Windows Administrator Protection is coming soon - And not just for businesses. This feels very much like the firewall in XP SP2, it's going to be disruptive New 24H2 features in Release Preview: New text actions in Click to Do, a lot more New 24H2 features in Dev and Beta: AI actions in File Explorer, Advanced Settings, Search improvements, more New 23H2 features, Windows 10 features in Release Preview Surface Laptop Studio RIP Calendar companion app for Windows 11/M365 Microsoft may finally put the Teams antitrust issue in the EU behind Xbox Fortnite returns to the Apple App Store Apple blocked it first, Epic complained to judge And Microsoft files a legal motion against Apple and for Epic Games Qualcomm job listing confirms Xbox plans to some degree What happens when you combine Qualcomm NPU with Nvidia GPU? Xbox May Update arrives and it's a big one Retro Classic Games for Xbox Game Pass Game Bar updates, Edge Game Assist, GeForce now etc. on PC Custom Xbox gift cards More streaming of your own games Hellblade II is coming from Xbox to PS5 Many more games coming to Xbox Game Pass across platforms Tips and Picks App pick of the week: You can try Microsoft's command line editor now Game pick of the week: Doom: The Dark Ages RunAs Radio this week: PowerShell 7.5 and DSC 3.0.0 with Jason Helmick Brown liquor pick of the week: Tamnavulin Sherry Cask Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: spaceship.com/twit uscloud.com

Zuck on:* Llama 4, benchmark gaming* Intelligence explosion, business models for AGI* DeepSeek/China, export controls, & Trump* Orion glasses, AI relationships, and preventing reward-hacking from our tech.Watch on Youtube; listen on Apple Podcasts and Spotify.----------SPONSORS* Scale is building the infrastructure for safer, smarter AI. Scale's Data Foundry gives major AI labs access to high-quality data to fuel post-training, while their public leaderboards help assess model capabilities. They also just released Scale Evaluation, a new tool that diagnoses model limitations. If you're an AI researcher or engineer, learn how Scale can help you push the frontier at scale.com/dwarkesh.* WorkOS Radar protects your product against bots, fraud, and abuse. Radar uses 80+ signals to identify and block common threats and harmful behavior. Join companies like Cursor, Perplexity, and OpenAI that have eliminated costly free-tier abuse by visiting workos.com/radar.* Lambda is THE cloud for AI developers, with over 50,000 NVIDIA GPUs ready to go for startups, enterprises, and hyperscalers. By focusing exclusively on AI, Lambda provides cost-effective compute supported by true experts, including a serverless API serving top open-source models like Llama 4 or DeepSeek V3-0324 without rate limits, and available for a free trial at lambda.ai/dwarkesh.To sponsor a future episode, visit dwarkesh.com/p/advertise.----------TIMESTAMPS(00:00:00) – How Llama 4 compares to other models(00:11:34) – Intelligence explosion(00:26:36) – AI friends, therapists & girlfriends(00:35:10) – DeepSeek & China(00:39:49) – Open source AI(00:54:15) – Monetizing AGI(00:58:32) – The role of a CEO(01:02:04) – Is big tech aligning with Trump?(01:07:10) – 100x productivity Get full access to Dwarkesh Podcast at www.dwarkesh.com/subscribe

The Lenovo Legion Go (SteamOS edition) gets a price bump before release, Collabora brings Vulkan 1.4 to vintage NVIDIA GPUs, the D&D ruleset was released under Creative Commons, and Steam is working on some awesome accessibility features.

Can you integrate performant audio-video into your .NET application? Carl and Richard talk to Elias Puurunen about his work at Tractus Events, where he uses the NDI protocols to bring real-time audio and video streams into his C# application. Elias talks about the power of P/Invoke to access the underlying libraries for controlling video streams, including utilizing NVidia GPUs for extremely fast encoding and decoding. You could write this code in C++, but why?

Technology stocks plunged as the chipmaking sector warned of ongoing uncertainty and higher costs from President Donald Trump's tariff plans. Meanwhile, Fabric's has revealed its new processing unit known as the "verifiable processing unit," or VPU, which will be tailored to handle Ethereum cryptography that rivals Nvidia GPU's.~This episode is sponsored by Uphold~Uphold Get $20 in Bitcoin - Signup & Verify and trade at least $100 of any crypto within your first 30 days ➜ https://bit.ly/pbnupholdGuest: Sue Ennis VP at Hut 8Hut 8 Website ➜ https://hut8.com/00:00 intro00:14 Sponsor: Uphold00:48 Nvidia Stock Crashing01:30 Tariffs Hit NVidia02:29 Nvidia China Exposure04:48 U.S. AI Leadership06:25 Trump's American Bitcoin x Hut 808:50 Sustainable Energy10:24 Ethereum Exposure To Nvidia GPU's11:52 Ethereum falling behind?12:55 Ethereum VPU vs Nvidia GPU14:39 VPU Stockpile?16:16 outro#Crypto #Nvidia #Bitcoin~Nvidia Tariffs vs Bitcoin Mining + Ethereum's GPU Killer!

Can you integrate performant audio-video into your .NET application? Carl and Richard talk to Elias Puurunen about his work at Tractus Events, where he uses the NDI protocols to bring real-time audio and video streams into his C# application. Elias talks about the power of P/Invoke to access the underlying libraries for controlling video streams, including utilizing NVidia GPUs for extremely fast encoding and decoding. You could write this code in C++, but why?

News and Updates: The NFL will use Hawk-Eye tech to measure 1st downs in games this year Fitbit is getting an overhaul and at least 1 more year of life Apple wants to upgrade the Health app for iPhone & Watch To keep up with AI demands, Apple buying $1B worth of Nvidia GPUs for their datacenters Visa, MC and AMEX vying to be the new credit card for the iPhone Microsoft changing from “Blue Screen of Death” to “Black Screen of Death” Microsoft keeps changing versions of Outlook and Teams

All-In with Chamath, Jason, Sacks & Friedberg Intro  Necessity is the mother of innovation: “We are putting enough friction into the system that it does theoretically give America an advantage at the cost of creating tremendous incentives for China to develop their semiconductor ecosystem.” – Gavin Baker Prohibiting China's access to Nvidia GPUs encourages China to create its own Nvidia, though it may take a decade for it to do so If progress in the AI agent space continues, the only rate-limiting factor to its widespread adoption will be compute power; the days of AI agents competing in all of our daily tasks is a long time away because this will require so much computing, and the capacity does not exist yet Most everybody agrees that deregulation is good: Every time the admin says the word “tariff” it should say “deregulation” three times afterThe best way to encourage the reshoring of key industries is just making it easier to do business in AmericaThe US must figure out the difference between manufacturing and IP so that we can trap the real value of these industries back in AmericaThe admin is focused on making life better for normal, working-class Americans The goal of the tariffs is to restore the industries that can be restored into the US; but implementing them may create externalities, such as inflation and retaliatory tariffs The globalized “free trade” model of the last twenty years has benefitted US knowledge workers, but it has left the everyday American behind On DOGE: While Democrats and Republicans may disagree on where the government spends its money, both sides should want the spending to be efficient Using the Alien Enemies Act of 1798, the Trump admin has deported 238 alleged gang members to El Salvador's high-security CECOT prison The last use of this act was during World War II under President Franklin D. Roosevelt, who ordered the deportation of thousands of Germans, Italians, and JapaneseSince 2015, El Salvador has slashed its murder rate by 99% through widespread arrests of suspected gang members without due process  “The one thing I learned: Everybody in America is always focused on making America better. Having been to eighty different places around the world, our only goal should be to not screw it up in America. Just don't make it worse, because America is so much better than everywhere else.”  – Gavin sharing a quote from a Navy SEALRead the full notes @ podcastnotes.org(0:00) The Besties welcome Gavin Baker back on the show! (1:20) Nvidia balance sheet questions, CoreWeave IPO, M&A/IPO bounce back (16:22) US vs China in AI: Manus, China building its own Nvidia, and more (28:37) The Administration's endgame for tariffs (53:05) Signalgate: context and fallout (1:09:42) El Salvador deportations Follow Gavin: https://x.com/GavinSBaker Follow the besties: https://x.com/chamath https://x.com/Jason https://x.com/DavidSacks https://x.com/friedberg Follow on X: https://x.com/theallinpod Follow on Instagram: https://www.instagram.com/theallinpod Follow on TikTok: https://www.tiktok.com/@theallinpod Follow on LinkedIn: https://www.linkedin.com/company/allinpod Intro Music Credit: https://rb.gy/tppkzl https://x.com/yung_spielburg Intro Video Credit: https://x.com/TheZachEffect Referenced in the show: https://www.reuters.com/technology/coreweave-planning-cut-us-ipo-size-price-below-range-source-says-2025-03-27 https://www.reuters.com/world/us/us-adds-dozens-entities-export-restriction-list-2025-03-25 https://modelcontextprotocol.io/introduction https://www.theinformation.com/articles/openai-plots-charging-20-000-a-month-for-phd-level-agents?rc=pxkrxo https://www.youtube.com/watch?v=A8wJc7vHcTs https://x.com/JohnArnoldFndtn/status/1905296181208416744 https://x.com/chamath/status/1904547884877701610 https://www.theatlantic.com/politics/archive/2025/03/trump-administration-accidentally-texted-me-its-war-plans/682151 https://www.whitehouse.gov/presidential-actions/2025/03/invocation-of-the-alien-enemies-act-regarding-the-invasion-of-the-united-states-by-tren-de-aragua https://www.statista.com/statistics/696152/homicide-rate-in-el-salvador https://x.com/Sec_Noem/status/1905034256826408982

All-In with Chamath, Jason, Sacks & Friedberg Intro  Necessity is the mother of innovation: “We are putting enough friction into the system that it does theoretically give America an advantage at the cost of creating tremendous incentives for China to develop their semiconductor ecosystem.” – Gavin Baker Prohibiting China's access to Nvidia GPUs encourages China to create its own Nvidia, though it may take a decade for it to do so If progress in the AI agent space continues, the only rate-limiting factor to its widespread adoption will be compute power; the days of AI agents competing in all of our daily tasks is a long time away because this will require so much computing, and the capacity does not exist yet Most everybody agrees that deregulation is good: Every time the admin says the word “tariff” it should say “deregulation” three times afterThe best way to encourage the reshoring of key industries is just making it easier to do business in AmericaThe US must figure out the difference between manufacturing and IP so that we can trap the real value of these industries back in AmericaThe admin is focused on making life better for normal, working-class Americans The goal of the tariffs is to restore the industries that can be restored into the US; but implementing them may create externalities, such as inflation and retaliatory tariffs The globalized “free trade” model of the last twenty years has benefitted US knowledge workers, but it has left the everyday American behind On DOGE: While Democrats and Republicans may disagree on where the government spends its money, both sides should want the spending to be efficient Using the Alien Enemies Act of 1798, the Trump admin has deported 238 alleged gang members to El Salvador's high-security CECOT prison The last use of this act was during World War II under President Franklin D. Roosevelt, who ordered the deportation of thousands of Germans, Italians, and JapaneseSince 2015, El Salvador has slashed its murder rate by 99% through widespread arrests of suspected gang members without due process  “The one thing I learned: Everybody in America is always focused on making America better. Having been to eighty different places around the world, our only goal should be to not screw it up in America. Just don't make it worse, because America is so much better than everywhere else.”  – Gavin sharing a quote from a Navy SEALRead the full notes @ podcastnotes.org(0:00) The Besties welcome Gavin Baker back on the show! (1:20) Nvidia balance sheet questions, CoreWeave IPO, M&A/IPO bounce back (16:22) US vs China in AI: Manus, China building its own Nvidia, and more (28:37) The Administration's endgame for tariffs (53:05) Signalgate: context and fallout (1:09:42) El Salvador deportations Follow Gavin: https://x.com/GavinSBaker Follow the besties: https://x.com/chamath https://x.com/Jason https://x.com/DavidSacks https://x.com/friedberg Follow on X: https://x.com/theallinpod Follow on Instagram: https://www.instagram.com/theallinpod Follow on TikTok: https://www.tiktok.com/@theallinpod Follow on LinkedIn: https://www.linkedin.com/company/allinpod Intro Music Credit: https://rb.gy/tppkzl https://x.com/yung_spielburg Intro Video Credit: https://x.com/TheZachEffect Referenced in the show: https://www.reuters.com/technology/coreweave-planning-cut-us-ipo-size-price-below-range-source-says-2025-03-27 https://www.reuters.com/world/us/us-adds-dozens-entities-export-restriction-list-2025-03-25 https://modelcontextprotocol.io/introduction https://www.theinformation.com/articles/openai-plots-charging-20-000-a-month-for-phd-level-agents?rc=pxkrxo https://www.youtube.com/watch?v=A8wJc7vHcTs https://x.com/JohnArnoldFndtn/status/1905296181208416744 https://x.com/chamath/status/1904547884877701610 https://www.theatlantic.com/politics/archive/2025/03/trump-administration-accidentally-texted-me-its-war-plans/682151 https://www.whitehouse.gov/presidential-actions/2025/03/invocation-of-the-alien-enemies-act-regarding-the-invasion-of-the-united-states-by-tren-de-aragua https://www.statista.com/statistics/696152/homicide-rate-in-el-salvador https://x.com/Sec_Noem/status/1905034256826408982

Timestamps: 0:00 this was a throwaway 0:15 Intel could manufacture Nvidia GPUs 1:41 Gemini 2.5, GPT-4o, Nvidia G-Assist, more 5:33 QUICK BITS INTRO 5:46 ASRock motherboard issues update 6:47 Improved Windows Search on Copilot+ PCs 7:09 Apple barred from Google hearing 7:31 Canada bans Tesla from EV rebates 8:04 Space Force funds 'orbital carrier' NEWS SOURCES: https://lmg.gg/Bmaxn Learn more about your ad choices. Visit megaphone.fm/adchoices

In today's episode a photographer captures a Lunar Eclipse and the Aurora at the same time, sensor talk from Canon and more. You can find the show notes here.

Matt Cohen and John Ruffolo dive into the growing exodus of Canadian talent to the U.S., breaking down why top founders and engineers are choosing Silicon Valley over homegrown opportunities. They discuss OpenAI's latest move to charge up to $20,000 per month for AI-powered research agents and how companies are rethinking hiring in light of these powerful tools. The conversation also covers the controversial CoreWeave IPO, highlighting its rapid $1.9B revenue surge, heavy reliance on Microsoft, and whether it signals a coming shake-up in cloud computing. On the political front, they analyze the potential for an early Canadian election, shifts in party leadership, and how economic policies—like capital gains tax hikes—are driving entrepreneurs out of the country.Canada's Tech Exodus: Why Founders Are Flocking to the U.S. (07:00)A striking rise in Canadian emigration has raised concerns about the country's ability to retain top talent. In 2024, 81,601 Canadians left the country, the highest number since 2017—half of them from Ontario.* Capital gains tax hikes pushing high-net-worth individuals and founders to relocate.* U.S. venture capital firms providing better funding opportunities for Canadian startups.* YC founder exodus: More Canadian founders are moving to the U.S. post-Y Combinator Demo Day, as confirmed by YC CEO Gary Tan.John Ruffolo's take:* Canada risks losing its top tech talent permanently if it doesn't address the capital and policy gaps driving this migration.* Founders aren't leaving out of convenience—it's about better market access, capital, and scaling opportunities.OpenAI's $20K/Month AI Agents: A Game-Changer? (18:00)OpenAI is rolling out three tiers of AI-powered assistants, capable of advanced research, software development, and business strategy—at a hefty price tag.Pricing breakdown:* $2K/month: Handles advanced knowledge worker tasks.* $10K/month: AI for software development.* $20K/month: PhD-level AI agents for deep research.Why this matters:* AI-powered coding tools like Cursor.dev have already grown to $100M ARR in 18 months.* Founders are increasingly opting for AI engineers over hiring multiple full-time developers.* This signals a shift in the labor market, potentially disrupting high-paid professional roles in tech, research, and consulting.CoreWeave's $2B Revenue IPO—Boom or Bust? (12:00)CoreWeave, a cloud computing startup that stockpiled NVIDIA GPUs early, is racing toward a high-profile IPO.Key numbers:* Revenue skyrocketed from $16M in 2022 to $1.9B in 2023.* Microsoft accounts for 62% of its revenue, sparking concerns over customer concentration.* The company holds $11B in debt, raising questions about profitability.* Founders cashed out $500M pre-IPO, raising red flags.John Ruffolo's analysis:* This looks like a high-risk, low-margin business that may struggle to justify its valuation.* Heavy debt financing and reliance on Microsoft contracts make it a shaky bet.* If public markets reject CoreWeave, it could be a warning sign for other AI and cloud IPOs.Will Canada See an April Election? (03:00)With Canada's Liberal Party leadership race heating up, rumors suggest an election could be called as early as March 16, with a vote on April 22.* The Liberals want a short election to limit Conservative fundraising advantages.* Mark Carney is positioned as the Liberal frontrunner, but he doesn't currently hold a parliamentary seat.* Coalition talks between Liberals, NDP, and the Green Party could reshape Canada's political landscape.Projected outcomes:* Conservative majority is still likely, but the margin has narrowed.* A left-wing coalition could prevent a Conservative landslide.The Bigger Picture: Where is Canada Headed?From AI disruption and talent migration to political uncertainty, this episode of Tank Talks dives into the forces reshaping Canada's future. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit tanktalks.substack.com

CoreWeave's initial S-1 document for its upcoming IPO is full of surprises. Backed by Nvidia, CoreWeave runs an AI-specific cloud service from its network of 32 data centers that together have more than 250,000 Nvidia GPUs as of the end of 2024, according to the company. Learn more about your ad choices. Visit podcastchoices.com/adchoices

In today's Tech3 Podcast by Moneycontrol, we break down the biggest stories in SaaS, fintech, AI, and IPOs! M2P acquires AI startup Mad Street Den in a $10-15M deal, Kissht co-founders make a fresh start with an AI-powered debt resolution platform, and Info Edge-backed NoPaperForms gears up for an IPO. Plus, Yotta supercharges India's AI ambitions with thousands of Nvidia GPUs, and InsuranceDekho secures a big funding round. Tune in now for all the latest updates!

Michelle goes over some of the questions we have been getting and how to optimize the game for PC with one must do fix for Nvidia GPUs! Plus our Squad info: W97E3948, what version to buy, REFramework, and a few starter tips. Round table on Tuesday's episode #894, check the VGO Discord: https://discord.gg/Ab6pxpT to enter to win a MH: Wilds key from CDkeys.com or to chat about the game in the Monster Hunter channel.

Hey Strangers, The RTX 5090 isn't the only Nvidia GPU that has been facing delays. The RTX 5080, along with the abovementioned graphics card launched in January in extremely limited quantities. As said, overall demand plus scalper inflation led to low availability of the components. Currently, there is no word on whether the RTX 5080 will receive a supply update.The RTX 50 series, powering laptops and desktops is another notable GPU family that has been delayed until at least March. There have been several unsubstantiated reasons as to why the GPUs may have been delayed, including Nvidia's focus on AI GPUs and internal miscommunication within the company. Notebookcheck also noted some graphics cards may have been experiencing performance and functionality issues. Nvidia will make the GPU available for pre-order starting February 25, despite it not releasing until sometime later.=======================================My other podcasthttps://www.youtube.com/channel/UCKpvBEElSl1dD72Y5gtepkw**************************************************Something Strangehttps://www.youtube.com/watch?v=GRjVc2TZqN4&t=4s**************************************************article links:https://www.yahoo.com/tech/rtx-5090-gpu-shortage-could-215301012.html======================================Today is for push-ups and Programming and I am all done doing push-ups Discordhttps://discord.gg/MYvNgYYFxqTikTokhttps://www.tiktok.com/@strangestcoderYoutubehttps://www.youtube.com/channel/UCe9xwdRW2D7RYwlp6pRGOvQ?sub_confirmation=1Twitchhttps://www.twitch.tv/CodingWithStrangersTwitterhttps://twitter.com/strangestcodermerchSupport CodingWithStrangers IRL by purchasing some merch. All merch purchases include an alert: https://streamlabs.com/codingwithstrangers/merchGithubFollow my works of chaos https://github.com/codingwithstrangersTipshttps://streamlabs.com/codingwithstrangers/tipPatreonhttps://www.patreon.com/TheStrangersWebullhttps://act.webull.com/vi/c8V9LvpDDs6J/uyq/inviteUs/Join this channelhttps://www.youtube.com/channel/UCe9xwdRW2D7RYwlp6pRGOvQ/joinTimeline00:00 intro02:26 What Talking We Talking About04:00 Article05:14 My Thoughts08:01 outro anything else?Take Care--- Send in a voice message: https://podcasters.spotify.com/pod/show/coding-with-strangers/message

HP kauft Humane. Apple verkauft ein "günstiges" iPhone. OpenAI macht Open Source PR und hat große Pläne mit Softbank. Über Singapore werden viel NVIDIA GPUs nach China verkaufen und DeepSeak sucht Geld. Shein wird vor dem IPO immer weniger wert. SPACs sind back. Microsoft möchte einen Quantencomputer bauen. Lilium meldet erneut Insolvenz an. Idealo verklagt Google auf 3,3 Milliarden Euro. Hims&Hers hat eine volatile Woche. Earnings von Arista, Booking, MercadoLibre und Birkenstook. Die AfD hat eine neue Spendenaffäre. Musk sucht Geld für X und würde gerne die Community Notes überarbeiten. Elon posiert mit einer Kettensäge. Werbung: Verbinde dich mit André Wolpers und erfahre mehr über den People Lead Job und andere Möglichkeiten bei der HDI Group. Entdecke weitere Angebote unserer Werbepartner auf doppelgaenger.io/werbung. Vielen Dank! Philipp Glöckler und Philipp Klöckner sprechen heute über: (00:00:00) Geht wählen (00:02:30) Humane (00:04:15) iPhone16e (00:09:15) OpenAI (00:20:00) Singapore (00:22:00) Deepseek (00:24:30) Shein (00:29:35) SPACs (00:31:35) Microsoft (00:34:45) Lilium (00:38:30) Google (00:41:30) Hims&Hers (00:45:30) Arista (00:47:30) Booking (00:50:30) MercadoLibre (00:52:10) Birkenstock (00:55:20) Alibaba (00:55:50) AfD (01:01:00) Elon (01:08:05) Kettensäge (01:13:15) Steve Bannon (01:16:00) DOGE (01:19:15) Pentagon (01:20:20) National Highway (01:22:15) SEC  (01:23:35) DOGE Dividende (01:25:20)  Bias Tiktok X (01:28:00) White House Deportation (01:31:40) Trump Putin (01:35:30) Community Notes (01:42:20) Döpfer, Alex Karp Shownotes HP erwirbt Teile von Humane, einem KI-Startup von ehemaligen Apple-Managern, für 116 Millionen Dollar Bloomberg OpenAI-Prognose zeigt Verschiebung von Microsoft zu SoftBank The Information Shein muss Unternehmenswert vor Börsengang auf 30 Milliarden Dollar senken Manager Magazin Die DeepSeek-Untersuchung des GPU-Schmuggels zeigt, dass Nvidias GPU-Verkäufe in Singapur 28 % des Umsatzes ausmachen, aber nur 1 % in das Land geliefert wird tom's Hardware DeepSeek erwägt zum ersten Mal die Aufnahme von Fremdkapital The Information Microsoft verkündet Durchbruch im Quantencomputing mit neuem Majorana-1-Chip The Verge Verdacht auf illegale Parteienfinanzierung - Neue Spendenaffäre erschüttert AfD Spiegel Wer ist der verschwiegene Milliardär hinter der verdächtigen AfD-Spende? Spiegel Libra Token's Co-Creator behauptet, er habe die Schwester des argentinischen Präsidenten Milei bezahlt CoinDesk Nach mehreren Verzögerungen hat DOGE seine angeblichen Einsparungen veröffentlicht. Schauen wir mal rein Twitter Alex Karp spricht über die US-Software-Dominanz, DOGE und die Wahl in Deutschland YouTube Musk's X in Gesprächen zur Geldbeschaffung mit einer Bewertung von 44 Milliarden Dollar Bloomberg Fehlinformationen von Präsident Trump. Twitter X deutet an, dass es in den Gesprächen mit dem Werberiesen Probleme mit der Erhöhung der Ausgaben geben könnte WSJ Wie Moritz Döpfner mithilfe von Peter Thiel einen eigenen Fonds aufbaut Manager Magazin Springer-Chef Döpfner nennt J.D. Vances Rede »inspirierend« und Europäer »weinerlich« Spiegel Musk beschuldigt den ukrainischen Staatschef Zelensky, sich von den Leichen der Soldaten zu ernähren" Independent Studie über TikTok- und X-„For You“-Feeds in Deutschland zeigt rechtsextreme politische Tendenzen im Vorfeld der Bundestagswahl TechCrunch Meinungsvideo: Die extreme Rechte erhebt sich im Land des „Nie wieder“ mit Jan Böhmermann New York Times

We're experimenting and would love to hear from you!In this episode of 'Discover Daily', the mysterious world of AI advancements and scientific discoveries collide in this episode of Discover Daily, where we explore Elon Musk's latest AI breakthrough with Grok 3, a model claimed to be 10 times more powerful than its predecessor and running on a massive infrastructure of 100,000 Nvidia GPUs. The episode delves into how this development intensifies the competition in the AI landscape, challenging established players like ChatGPT, Gemini, and Claude.We then examine groundbreaking research from Microsoft and Carnegie Mellon University that reveals the complex relationship between AI and critical thinking in the workplace. The study shows how increased AI trust can lead to reduced critical thinking, while higher self-confidence enhances AI output evaluation, highlighting the evolving nature of knowledge work and the potential risks of over-reliance on AI systems.Our main segment looks at an extraordinary radioactive anomaly discovered in the Pacific Ocean's depths, where scientists have found unexpectedly high concentrations of beryllium-10 dating back to the late Miocene epoch. This discovery presents two competing theories: one suggesting a major reorganization of ocean currents, and another pointing to cosmic events like nearby supernovas, potentially revolutionizing our understanding of Earth's geological timeline and dating methods.From Perplexity's Discover Feed: https://www.perplexity.ai/page/musk-claims-grok-3-outperforms-lfwEvYJXSGCNKDqqptlPHw https://www.perplexity.ai/page/microsoft-study-ai-impairs-cri-hdDSSIGtSqS831ilUrANIg https://www.perplexity.ai/page/radioactive-anomaly-in-pacific-Aul4QisaTBmhzV5lJQMcfA**Introducing Perplexity Deep Research:**https://www.perplexity.ai/hub/blog/introducing-perplexity-deep-research Perplexity is the fastest and most powerful way to search the web. Perplexity crawls the web and curates the most relevant and up-to-date sources (from academic papers to Reddit threads) to create the perfect response to any question or topic you're interested in. Take the world's knowledge with you anywhere. Available on iOS and Android Join our growing Discord community for the latest updates and exclusive content. Follow us on: Instagram Threads X (Twitter) YouTube Linkedin

Following a deal for South Korea to buy 10,000 Nvidia GPUS for a national A.I. computing center, Nvidia (NVDA) stock is approaching its price level before the DeepSeek-driven drop. Rick Ducat points to it breaking through the short-term downward trend, before highlighting key open interest calls & puts in the March 21 expiry. Then, Tom White details a neutral to bullish options strategy for NVDA.======== Schwab Network ========Empowering every investor and trader, every market day.Subscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribeDownload the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watchWatch on Vizio - https://www.vizio.com/en/watchfreeplus-exploreWatch on DistroTV - https://www.distro.tv/live/schwab-network/Follow us on X – https://twitter.com/schwabnetworkFollow us on Facebook – https://www.facebook.com/schwabnetworkFollow us on LinkedIn - https://www.linkedin.com/company/schwab-network/About Schwab Network - https://schwabnetwork.com/about

About Kimbery Powlell:Kimberly Powell is the Vice President of Healthcare at NVIDIA, overseeing the global healthcare sector. She leads efforts to advance hardware and software platforms for accelerated computing, AI, and visualization, driving innovation in medical imaging, life sciences, drug discovery, and healthcare analytics. Before this role, Kim managed NVIDIA's higher education and research initiatives, strategic evangelism programs, NVIDIA AI Labs, and the NVIDIA Inception program. Since joining NVIDIA in 2008, she has been instrumental in positioning NVIDIA GPUs as a foundational technology for medical imaging systems.Things You'll Learn:Generative AI is transforming surgical procedures by supporting all phases of the process, including pre-operative patient education, real-time surgical guidance, and automatic post-surgical documentation, resulting in safer and more efficient operations.Privacy and ethical concerns in healthcare AI are being addressed by embedding models directly into medical devices and introducing reasoning layers to ensure safe, responsible, and ethical operation.Ethical safeguards, or "guardrails," are essential for reducing AI-related risks by preventing the system from operating in unsafe or untrustworthy ways.AI should be seen as a "digital human" teammate in healthcare, enhancing staff efficiency and productivity while improving care quality.Evaluating the ROI of AI requires analyzing its ability to reduce costs from rescheduled surgeries and automate tasks, allowing healthcare staff to focus on patients with the greatest need.Resources:Connect with and follow Kimberly Powell on LinkedIn.Discover more about NVIDIA on their LinkedIn and website.

On today's show, we have Leslie Shannon, the Head of Trend and Innovation Scouting at Nokia, where she specializes in identifying disruptive technologies that are shaping the future of connectivity. She is an accomplished author of two influential books: "Interconnected Realities," which explores the Metaverse, and "Virtual Natives." We discuss everything from the timeline for GenAl adoption in Hollywood to Al Cat Doors and Autonomous Dishwashers at CES to Al-RAN tech that would place Nvidia GPUs in the radio access network. This would enable next-level edge computing that would have massive implications for telcos, their suppliers, consumers, and the enablement of future technologies like AR, VR, and the like.

Episode 155. In this episode we discuss Forza Horizon 5 going to PS5 and the ripple effects that will cause. We also discuss Kingdom Come Deliverance 2 PS5 Pro Optimization, Fantastic Four: First Step Trailer, Nvidia GPU problem and much more.Intro: 00:00Xbox Sends Off Forza Horizon 5 To PS5: 14:51Kingdom Come Deliverance 2 PS5 Pro Version: 27:10Nvidia GPU Shortage Problems: 43:48 Fantastic Four New Trailer: 59:50 Elden Ring -NightReign: 01:14:43Luka Doncic/Anthony Davis Trade: 01:24:05MultiVersus Closing Down: 01:33:24

It's quite a lot about the latest Nvidia GPUs, power and performance numbers and value.  You GTX 10 series is going to be left behind soon, Windows is forcing some updates, and QNAP actually fixes something.  All that and so much more!00:00 Intro02:16 Food with Josh (a tragedy)05:32 RTX 5080 performance14:26 Compute performance is a underrated part of the RTX 50 Series story18:33 More RTX 5090 thoughts - putting power in perspective?26:21 AMD denies 899 USD RX 9070 price rumors (and a tangent or two)39:18 Could DeepSeek end the "ai" hardware boom (and run better on AMD)45:32 NVIDIA winding down GTX 10 Series support?50:43 Windows 11 24H2 is finally mainstream51:45 (in)Security Corner57:09 Gaming Quick Hits1:04:34 Picks of the Week1:14:40 Outro ★ Support this podcast on Patreon ★

Northern Data runs “a full customer platform, which offers that groundbreaking Nvidia GPU infrastructure to help bring AI applications to life,” COO Rosanne Kincaid-Smith tells Bloomberg Intelligence. In this episode of the Tech Disruptors podcast, she sits down with BI senior analyst Mandeep Singh to discuss the build-out of GPU data centers in a growing cloud market, and how the company is looking to differentiate vs. hyperscale cloud providers.

Send Everyday AI and Jordan a text messageIs Microsoft laying off thousands because of AI? How did one small box from NVIDIA change the future of work? What are Google's big AI shakeups? And why is OpenAI getting into humanoid robots? So many AI questions. We've got the AI answers with the AI news that matters.  Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan questions on AIUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:1. OpenAI Robotics Department2. NVIDIA's AI Projects and Tech3. Google's AI Updates and AGI shift4. Microsoft's Open Source Model5. Meta speaks on AI and Software EngineeringTimestamps:00:00 Daily AI news, podcast recaps, expert episodes.04:34 NVIDIA's CES keynote: Major AI GPU announcements.06:52 NVIDIA uses generative AI to enhance GPUs.12:19 Local powerful AI models enhance data security.16:10 NVIDIA forks Meta's Llama for enterprise AI.20:44 Google aims for AGI using advanced world models.22:34 Phi 4: Efficient, powerful, open-source AI model.25:35 Microsoft prioritizes retaining AI talent with bonuses.31:34 OpenAI revives robotics department for versatile robots.35:18 OpenAI urges US to secure AI investments.39:21 Observations connect over time; predictions often accurate.40:01 Prediction on AI agent numbers was impactful.Keywords:OpenAI, robotics, humanoid robots, adaptive robots, AI models, AI supercomputer, NVIDIA GPUs, DeepMind AI, Microsoft's open-source model, AI automation, Meta software engineering, US AI leadership, AI Predictions, AI industry news, RTX 50 series GPUs, Project Digits, NVIDIA's Grace Blackwell superchip, local AI computing, Cosmos, Isaac Robot Simulation, Nemotron Models, Enterprise AI, DeepMind's World Models, Google's Artificial General Intelligence, Google AI projects, Microsoft layoffs, Microsoft Phi-4 model, Hugging Face, Coding automation, Meta's AI advancement. Get more out of ChatGPT by learning our PPP method in this live, interactive and free training! Sign up now: https://youreverydayai.com/ppp-registration/

This episode is sponsored by Netsuite by Oracle, the number one cloud financial system, streamlining accounting, financial management, inventory, HR, and more.   NetSuite is offering a one-of-a-kind flexible financing program. Head to  https://netsuite.com/EYEONAI to know more.  In this episode of the Eye on AI podcast, we dive into the transformative world of AI compute infrastructure with Mitesh Agrawal, Head of Cloud/COO at Lambda   Mitesh takes us on a journey from Lambda Labs' early days as a style transfer app to its rise as a leader in providing scalable, deep learning infrastructure. Learn how Lambda Labs is reshaping AI compute by delivering cutting-edge GPU solutions and accessible cloud platforms tailored for developers, researchers, and enterprises alike.   Throughout the episode, Mitesh unpacks Lambda Labs' unique approach to optimizing AI infrastructure—from reducing costs with transparent pricing to tackling the global GPU shortage through innovative supply chain strategies. He explains how the company supports deep learning workloads, including training and inference, and why their AI cloud is a game-changer for scaling next-gen applications.   We also explore the broader landscape of AI, touching on the future of AI compute, the role of reasoning and video models, and the potential for localized data centers to meet the growing demand for low-latency solutions. Mitesh shares his vision for a world where AI applications, powered by Lambda Labs, drive innovation across industries.   Tune in to discover how Lambda Labs is democratizing access to deep learning compute and paving the way for the future of AI infrastructure.   Don't forget to like, subscribe, and hit the notification bell to stay updated on the latest in AI, deep learning, and transformative tech! Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI (00:00) Introduction and Lambda Labs' Mission (01:37) Origins: From DreamScope to AI Compute Infrastructure (04:10) Pivoting to Deep Learning Infrastructure (06:23) Building Lambda Cloud: An AI-Focused Cloud Platform (09:16) Transparent Pricing vs. Hyperscalers (12:52) Managing GPU Supply and Demand (16:34) Evolution of AI Workloads: Training vs. Inference (20:02) Why Lambda Labs Sticks with NVIDIA GPUs (24:21) The Future of AI Compute: Localized Data Centers (28:30) Global Accessibility and Regulatory Challenges (32:13) China's AI Development and GPU Restrictions (39:50) Scaling Lambda Labs: Data Centers and Growth (45:22) Advancing AI Models and Video Generation (50:24) Optimism for AI's Future (53:48) How to Access Lambda Cloud  

Applications for the NYC AI Engineer Summit, focused on Agents at Work, are open!When we first started Latent Space, in the lightning round we'd always ask guests: “What's your favorite AI product?”. The majority would say Midjourney. The simple UI of prompt → very aesthetic image turned it into a $300M+ ARR bootstrapped business as it rode the first wave of AI image generation.In open source land, StableDiffusion was congregating around AUTOMATIC1111 as the de-facto web UI. Unlike Midjourney, which offered some flags but was mostly prompt-driven, A1111 let users play with a lot more parameters, supported additional modalities like img2img, and allowed users to load in custom models. If you're interested in some of the SD history, you can look at our episodes with Lexica, Replicate, and Playground.One of the people involved with that community was comfyanonymous, who was also part of the Stability team in 2023, decided to build an alternative called ComfyUI, now one of the fastest growing open source projects in generative images, and is now the preferred partner for folks like Black Forest Labs's Flux Tools on Day 1. The idea behind it was simple: “Everyone is trying to make easy to use interfaces. Let me try to make a powerful interface that's not easy to use.”Unlike its predecessors, ComfyUI does not have an input text box. Everything is based around the idea of a node: there's a text input node, a CLIP node, a checkpoint loader node, a KSampler node, a VAE node, etc. While daunting for simple image generation, the tool is amazing for more complex workflows since you can break down every step of the process, and then chain many of them together rather than manually switching between tools. You can also re-start execution halfway instead of from the beginning, which can save a lot of time when using larger models.To give you an idea of some of the new use cases that this type of UI enables:* Sketch something → Generate an image with SD from sketch → feed it into SD Video to animate* Generate an image of an object → Turn into a 3D asset → Feed into interactive experiences* Input audio → Generate audio-reactive videosTheir Examples page also includes some of the more common use cases like AnimateDiff, etc. They recently launched the Comfy Registry, an online library of different nodes that users can pull from rather than having to build everything from scratch. The project has >60,000 Github stars, and as the community grows, some of the projects that people build have gotten quite complex:The most interesting thing about Comfy is that it's not a UI, it's a runtime. You can build full applications on top of image models simply by using Comfy. You can expose Comfy workflows as an endpoint and chain them together just like you chain a single node. We're seeing the rise of AI Engineering applied to art.Major Tom's ComfyUI Resources from the Latent Space DiscordMajor shoutouts to Major Tom on the LS Discord who is a image generation expert, who offered these pointers:* “best thing about comfy is the fact it supports almost immediately every new thing that comes out - unlike A1111 or forge, which still don't support flux cnet for instance. It will be perfect tool when conflicting nodes will be resolved”* AP Workflows from Alessandro Perili are a nice example of an all-in-one train-evaluate-generate system built atop Comfy* ComfyUI YouTubers to learn from:* @sebastiankamph* @NerdyRodent* @OlivioSarikas* @sedetweiler* @pixaroma* ComfyUI Nodes to check out:* https://github.com/kijai/ComfyUI-IC-Light* https://github.com/MrForExample/ComfyUI-3D-Pack* https://github.com/PowerHouseMan/ComfyUI-AdvancedLivePortrait* https://github.com/pydn/ComfyUI-to-Python-Extension* https://github.com/THtianhao/ComfyUI-Portrait-Maker* https://github.com/ssitu/ComfyUI_NestedNodeBuilder* https://github.com/longgui0318/comfyui-magic-clothing* https://github.com/atmaranto/ComfyUI-SaveAsScript* https://github.com/ZHO-ZHO-ZHO/ComfyUI-InstantID* https://github.com/AIFSH/ComfyUI-FishSpeech* https://github.com/coolzilj/ComfyUI-Photopea* https://github.com/lks-ai/anynode* Sarav: https://www.youtube.com/@mickmumpitz/videos ( applied stuff )* Sarav: https://www.youtube.com/@latentvision (technical, but infrequent)* look for comfyui node for https://github.com/magic-quill/MagicQuill* “Comfy for Video” resources* Kijai (https://github.com/kijai) pushing out support for Mochi, CogVideoX, AnimateDif, LivePortrait etc* Comfyui node support like LTX https://github.com/Lightricks/ComfyUI-LTXVideo , and HunyuanVideo* FloraFauna AI* Communities: https://www.reddit.com/r/StableDiffusion/, https://www.reddit.com/r/comfyui/Full YouTube EpisodeAs usual, you can find the full video episode on our YouTube (and don't forget to like and subscribe!)Timestamps* 00:00:04 Introduction of hosts and anonymous guest* 00:00:35 Origins of Comfy UI and early Stable Diffusion landscape* 00:02:58 Comfy's background and development of high-res fix* 00:05:37 Area conditioning and compositing in image generation* 00:07:20 Discussion on different AI image models (SD, Flux, etc.)* 00:11:10 Closed source model APIs and community discussions on SD versions* 00:14:41 LoRAs and textual inversion in image generation* 00:18:43 Evaluation methods in the Comfy community* 00:20:05 CLIP models and text encoders in image generation* 00:23:05 Prompt weighting and negative prompting* 00:26:22 Comfy UI's unique features and design choices* 00:31:00 Memory management in Comfy UI* 00:33:50 GPU market share and compatibility issues* 00:35:40 Node design and parameter settings in Comfy UI* 00:38:44 Custom nodes and community contributions* 00:41:40 Video generation models and capabilities* 00:44:47 Comfy UI's development timeline and rise to popularity* 00:48:13 Current state of Comfy UI team and future plans* 00:50:11 Discussion on other Comfy startups and potential text generation supportTranscriptAlessio [00:00:04]: Hey everyone, welcome to the Latent Space podcast. This is Alessio, partner and CTO at Decibel Partners, and I'm joined by my co-host Swyx, founder of Small AI.swyx [00:00:12]: Hey everyone, we are in the Chroma Studio again, but with our first ever anonymous guest, Comfy Anonymous, welcome.Comfy [00:00:19]: Hello.swyx [00:00:21]: I feel like that's your full name, you just go by Comfy, right?Comfy [00:00:24]: Yeah, well, a lot of people just call me Comfy, even when they know my real name. Hey, Comfy.Alessio [00:00:32]: Swyx is the same. You know, not a lot of people call you Shawn.swyx [00:00:35]: Yeah, you have a professional name, right, that people know you by, and then you have a legal name. Yeah, it's fine. How do I phrase this? I think people who are in the know, know that Comfy is like the tool for image generation and now other multimodality stuff. I would say that when I first got started with Stable Diffusion, the star of the show was Automatic 111, right? And I actually looked back at my notes from 2022-ish, like Comfy was already getting started back then, but it was kind of like the up and comer, and your main feature was the flowchart. Can you just kind of rewind to that moment, that year and like, you know, how you looked at the landscape there and decided to start Comfy?Comfy [00:01:10]: Yeah, I discovered Stable Diffusion in 2022, in October 2022. And, well, I kind of started playing around with it. Yes, I, and back then I was using Automatic, which was what everyone was using back then. And so I started with that because I had, it was when I started, I had no idea like how Diffusion works. I didn't know how Diffusion models work, how any of this works, so.swyx [00:01:36]: Oh, yeah. What was your prior background as an engineer?Comfy [00:01:39]: Just a software engineer. Yeah. Boring software engineer.swyx [00:01:44]: But like any, any image stuff, any orchestration, distributed systems, GPUs?Comfy [00:01:49]: No, I was doing basically nothing interesting. Crud, web development? Yeah, a lot of web development, just, yeah, some basic, maybe some basic like automation stuff. Okay. Just. Yeah, no, like, no big companies or anything.swyx [00:02:08]: Yeah, but like already some interest in automations, probably a lot of Python.Comfy [00:02:12]: Yeah, yeah, of course, Python. But I wasn't actually used to like the Node graph interface before I started Comfy UI. It was just, I just thought it was like, oh, like, what's the best way to represent the Diffusion process in the user interface? And then like, oh, well. Well, like, naturally, oh, this is the best way I've found. And this was like with the Node interface. So how I got started was, yeah, so basic October 2022, just like I hadn't written a line of PyTorch before that. So it's completely new. What happened was I kind of got addicted to generating images.Alessio [00:02:58]: As we all did. Yeah.Comfy [00:03:00]: And then I started. I started experimenting with like the high-res fixed in auto, which was for those that don't know, the high-res fix is just since the Diffusion models back then could only generate that low-resolution. So what you would do, you would generate low-resolution image, then upscale, then refine it again. And that was kind of the hack to generate high-resolution images. I really liked generating. Like higher resolution images. So I was experimenting with that. And so I modified the code a bit. Okay. What happens if I, if I use different samplers on the second pass, I was edited the code of auto. So what happens if I use a different sampler? What happens if I use a different, like a different settings, different number of steps? And because back then the. The high-res fix was very basic, just, so. Yeah.swyx [00:04:05]: Now there's a whole library of just, uh, the upsamplers.Comfy [00:04:08]: I think, I think they added a bunch of, uh, of options to the high-res fix since, uh, since, since then. But before that was just so basic. So I wanted to go further. I wanted to try it. What happens if I use a different model for the second, the second pass? And then, well, then the auto code base was, wasn't good enough for. Like, it would have been, uh, harder to implement that in the auto interface than to create my own interface. So that's when I decided to create my own. And you were doing that mostly on your own when you started, or did you already have kind of like a subgroup of people? No, I was, uh, on my own because, because it was just me experimenting with stuff. So yeah, that was it. Then, so I started writing the code January one. 2023, and then I released the first version on GitHub, January 16th, 2023. That's how things got started.Alessio [00:05:11]: And what's, what's the name? Comfy UI right away or? Yeah.Comfy [00:05:14]: Comfy UI. The reason the name, my name is Comfy is people thought my pictures were comfy, so I just, uh, just named it, uh, uh, it's my Comfy UI. So yeah, that's, uh,swyx [00:05:27]: Is there a particular segment of the community that you targeted as users? Like more intensive workflow artists, you know, compared to the automatic crowd or, you know,Comfy [00:05:37]: This was my way of like experimenting with, uh, with new things, like the high risk fixed thing I mentioned, which was like in Comfy, the first thing you could easily do was just chain different models together. And then one of the first things, I think the first times it got a bit of popularity was when I started experimenting with the different, like applying. Prompts to different areas of the image. Yeah. I called it area conditioning, posted it on Reddit and it got a bunch of upvotes. So I think that's when, like, when people first learned of Comfy UI.swyx [00:06:17]: Is that mostly like fixing hands?Comfy [00:06:19]: Uh, no, no, no. That was just, uh, like, let's say, well, it was very, well, it still is kind of difficult to like, let's say you want a mountain, you have an image and then, okay. I'm like, okay. I want the mountain here and I want the, like a, a Fox here.swyx [00:06:37]: Yeah. So compositing the image. Yeah.Comfy [00:06:40]: My way was very easy. It was just like, oh, when you run the diffusion process, you kind of generate, okay. You do pass one pass through the diffusion, every step you do one pass. Okay. This place of the image with this brand, this space, place of the image with the other prop. And then. The entire image with another prop and then just average everything together, every step, and that was, uh, area composition, which I call it. And then, then a month later, there was a paper that came out called multi diffusion, which was the same thing, but yeah, that's, uh,Alessio [00:07:20]: could you do area composition with different models or because you're averaging out, you kind of need the same model.Comfy [00:07:26]: Could do it with, but yeah, I hadn't implemented it. For different models, but, uh, you, you can do it with, uh, with different models if you want, as long as the models share the same latent space, like we, we're supposed to ring a bell every time someone says, yeah, like, for example, you couldn't use like Excel and SD 1.5, because those have a different latent space, but like, uh, yeah, like SD 1.5 models, different ones. You could, you could do that.swyx [00:07:59]: There's some models that try to work in pixel space, right?Comfy [00:08:03]: Yeah. They're very slow. Of course. That's the problem. That that's the, the reason why stable diffusion actually became like popular, like, cause was because of the latent space.swyx [00:08:14]: Small and yeah. Because it used to be latent diffusion models and then they trained it up.Comfy [00:08:19]: Yeah. Cause a pixel pixel diffusion models are just too slow. So. Yeah.swyx [00:08:25]: Have you ever tried to talk to like, like stability, the latent diffusion guys, like, you know, Robin Rombach, that, that crew. Yeah.Comfy [00:08:32]: Well, I used to work at stability.swyx [00:08:34]: Oh, I actually didn't know. Yeah.Comfy [00:08:35]: I used to work at stability. I got, uh, I got hired, uh, in June, 2023.swyx [00:08:42]: Ah, that's the part of the story I didn't know about. Okay. Yeah.Comfy [00:08:46]: So the, the reason I was hired is because they were doing, uh, SDXL at the time and they were basically SDXL. I don't know if you remember it was a base model and then a refiner model. Basically they wanted to experiment, like chaining them together. And then, uh, they saw, oh, right. Oh, this, we can use this to do that. Well, let's hire that guy.swyx [00:09:10]: But they didn't, they didn't pursue it for like SD3. What do you mean? Like the SDXL approach. Yeah.Comfy [00:09:16]: The reason for that approach was because basically they had two models and then they wanted to publish both of them. So they, they trained one on. Lower time steps, which was the refiner model. And then they, the first one was trained normally. And then they went during their test, they realized, oh, like if we string these models together are like quality increases. So let's publish that. It worked. Yeah. But like right now, I don't think many people actually use the refiner anymore, even though it is actually a full diffusion model. Like you can use it on its own. And it's going to generate images. I don't think anyone, people have mostly forgotten about it. But, uh.Alessio [00:10:05]: Can we talk about models a little bit? So stable diffusion, obviously is the most known. I know flux has gotten a lot of traction. Are there any underrated models that people should use more or what's the state of the union?Comfy [00:10:17]: Well, the, the latest, uh, state of the art, at least, yeah, for images there's, uh, yeah, there's flux. There's also SD3.5. SD3.5 is two models. There's a, there's a small one, 2.5B and there's the bigger one, 8B. So it's, it's smaller than flux. So, and it's more, uh, creative in a way, but flux, yeah, flux is the best. People should give SD3.5 a try cause it's, uh, it's different. I won't say it's better. Well, it's better for some like specific use cases. Right. If you want some to make something more like creative, maybe SD3.5. If you want to make something more consistent and flux is probably better.swyx [00:11:06]: Do you ever consider supporting the closed source model APIs?Comfy [00:11:10]: Uh, well, they, we do support them as custom nodes. We actually have some, uh, official custom nodes from, uh, different. Ideogram.swyx [00:11:20]: Yeah. I guess DALI would have one. Yeah.Comfy [00:11:23]: That's, uh, it's just not, I'm not the person that handles that. Sure.swyx [00:11:28]: Sure. Quick question on, on SD. There's a lot of community discussion about the transition from SD1.5 to SD2 and then SD2 to SD3. People still like, you know, very loyal to the previous generations of SDs?Comfy [00:11:41]: Uh, yeah. SD1.5 then still has a lot of, a lot of users.swyx [00:11:46]: The last based model.Comfy [00:11:49]: Yeah. Then SD2 was mostly ignored. It wasn't, uh, it wasn't a big enough improvement over the previous one. Okay.swyx [00:11:58]: So SD1.5, SD3, flux and whatever else. SDXL. SDXL.Comfy [00:12:03]: That's the main one. Stable cascade. Stable cascade. That was a good model. But, uh, that's, uh, the problem with that one is, uh, it got, uh, like SD3 was announced one week after. Yeah.swyx [00:12:16]: It was like a weird release. Uh, what was it like inside of stability actually? I mean, statute of limitations. Yeah. The statute of limitations expired. You know, management has moved. So it's easier to talk about now. Yeah.Comfy [00:12:27]: And inside stability, actually that model was ready, uh, like three months before, but it got, uh, stuck in, uh, red teaming. So basically the product, if that model had released or was supposed to be released by the authors, then it would probably have gotten very popular since it's a, it's a step up from SDXL. But it got all of its momentum stolen. It got stolen by the SD3 announcement. So people kind of didn't develop anything on top of it, even though it's, uh, yeah. It was a good model, at least, uh, completely mostly ignored for some reason. Likeswyx [00:13:07]: I think the naming as well matters. It seemed like a branch off of the main, main tree of development. Yeah.Comfy [00:13:15]: Well, it was different researchers that did it. Yeah. Yeah. Very like, uh, good model. Like it's the Worcestershire authors. I don't know if I'm pronouncing it correctly. Yeah. Yeah. Yeah.swyx [00:13:28]: I actually met them in Vienna. Yeah.Comfy [00:13:30]: They worked at stability for a bit and they left right after the Cascade release.swyx [00:13:35]: This is Dustin, right? No. Uh, Dustin's SD3. Yeah.Comfy [00:13:38]: Dustin is a SD3 SDXL. That's, uh, Pablo and Dome. I think I'm pronouncing his name correctly. Yeah. Yeah. Yeah. Yeah. That's very good.swyx [00:13:51]: It seems like the community is very, they move very quickly. Yeah. Like when there's a new model out, they just drop whatever the current one is. And they just all move wholesale over. Like they don't really stay to explore the full capabilities. Like if, if the stable cascade was that good, they would have AB tested a bit more. Instead they're like, okay, SD3 is out. Let's go. You know?Comfy [00:14:11]: Well, I find the opposite actually. The community doesn't like, they only jump on a new model when there's a significant improvement. Like if there's a, only like a incremental improvement, which is what, uh, most of these models are going to have, especially if you, cause, uh, stay the same parameter count. Yeah. Like you're not going to get a massive improvement, uh, into like, unless there's something big that, that changes. So, uh. Yeah.swyx [00:14:41]: And how are they evaluating these improvements? Like, um, because there's, it's a whole chain of, you know, comfy workflows. Yeah. How does, how does one part of the chain actually affect the whole process?Comfy [00:14:52]: Are you talking on the model side specific?swyx [00:14:54]: Model specific, right? But like once you have your whole workflow based on a model, it's very hard to move.Comfy [00:15:01]: Uh, not, well, not really. Well, it depends on your, uh, depends on their specific kind of the workflow. Yeah.swyx [00:15:09]: So I do a lot of like text and image. Yeah.Comfy [00:15:12]: When you do change, like most workflows are kind of going to be complete. Yeah. It's just like, you might have to completely change your prompt completely change. Okay.swyx [00:15:24]: Well, I mean, then maybe the question is really about evals. Like what does the comfy community do for evals? Just, you know,Comfy [00:15:31]: Well, that they don't really do that. It's more like, oh, I think this image is nice. So that's, uh,swyx [00:15:38]: They just subscribe to Fofr AI and just see like, you know, what Fofr is doing. Yeah.Comfy [00:15:43]: Well, they just, they just generate like it. Like, I don't see anyone really doing it. Like, uh, at least on the comfy side, comfy users, they, it's more like, oh, generate images and see, oh, this one's nice. It's like, yeah, it's not, uh, like the, the more, uh, like, uh, scientific, uh, like, uh, like checking that's more on specifically on like model side. If, uh, yeah, but there is a lot of, uh, vibes also, cause it is a like, uh, artistic, uh, you can create a very good model that doesn't generate nice images. Cause most images on the internet are ugly. So if you, if that's like, if you just, oh, I have the best model at 10th giant, it's super smart. I created on all the, like I've trained on just all the images on the internet. The images are not going to look good. So yeah.Alessio [00:16:42]: Yeah.Comfy [00:16:43]: They're going to be very consistent. But yeah. People like, it's not going to be like the, the look that people are going to be expecting from, uh, from a model. So. Yeah.swyx [00:16:54]: Can we talk about LoRa's? Cause we thought we talked about models then like the next step is probably LoRa's. Before, I actually, I'm kind of curious how LoRa's entered the tool set of the image community because the LoRa paper was 2021. And then like, there was like other methods like textual inversion that was popular at the early SD stage. Yeah.Comfy [00:17:13]: I can't even explain the difference between that. Yeah. Textual inversions. That's basically what you're doing is you're, you're training a, cause well, yeah. Stable diffusion. You have the diffusion model, you have text encoder. So basically what you're doing is training a vector that you're going to pass to the text encoder. It's basically you're training a new word. Yeah.swyx [00:17:37]: It's a little bit like representation engineering now. Yeah.Comfy [00:17:40]: Yeah. Basically. Yeah. You're just, so yeah, if you know how like the text encoder works, basically you have, you take your, your words of your product, you convert those into tokens with the tokenizer and those are converted into vectors. Basically. Yeah. Each token represents a different vector. So each word presents a vector. And those, depending on your words, that's the list of vectors that get passed to the text encoder, which is just. Yeah. Yeah. I'm just a stack of, of attention. Like basically it's a very close to LLM architecture. Yeah. Yeah. So basically what you're doing is just training a new vector. We're saying, well, I have all these images and I want to know which word does that represent? And it's going to get like, you train this vector and then, and then when you use this vector, it hopefully generates. Like something similar to your images. Yeah.swyx [00:18:43]: I would say it's like surprisingly sample efficient in picking up the concept that you're trying to train it on. Yeah.Comfy [00:18:48]: Well, people have kind of stopped doing that even though back as like when I was at Stability, we, we actually did train internally some like textual versions on like T5 XXL actually worked pretty well. But for some reason, yeah, people don't use them. And also they might also work like, like, yeah, this is something and probably have to test, but maybe if you train a textual version, like on T5 XXL, it might also work with all the other models that use T5 XXL because same thing with like, like the textual inversions that, that were trained for SD 1.5, they also kind of work on SDXL because SDXL has the, has two text encoders. And one of them is the same as the, as the SD 1.5 CLIP-L. So those, they actually would, they don't work as strongly because they're only applied to one of the text encoders. But, and the same thing for SD3. SD3 has three text encoders. So it works. It's still, you can still use your textual version SD 1.5 on SD3, but it's just a lot weaker because now there's three text encoders. So it gets even more diluted. Yeah.swyx [00:20:05]: Do people experiment a lot on, just on the CLIP side, there's like Siglip, there's Blip, like do people experiment a lot on those?Comfy [00:20:12]: You can't really replace. Yeah.swyx [00:20:14]: Because they're trained together, right? Yeah.Comfy [00:20:15]: They're trained together. So you can't like, well, what I've seen people experimenting with is a long CLIP. So basically someone fine tuned the CLIP model to accept longer prompts.swyx [00:20:27]: Oh, it's kind of like long context fine tuning. Yeah.Comfy [00:20:31]: So, so like it's, it's actually supported in Core Comfy.swyx [00:20:35]: How long is long?Comfy [00:20:36]: Regular CLIP is 77 tokens. Yeah. Long CLIP is 256. Okay. So, but the hack that like you've, if you use stable diffusion 1.5, you've probably noticed, oh, it still works if I, if I use long prompts, prompts longer than 77 words. Well, that's because the hack is to just, well, you split, you split it up in chugs of 77, your whole big prompt. Let's say you, you give it like the massive text, like the Bible or something, and it would split it up in chugs of 77 and then just pass each one through the CLIP and then just cut anything together at the end. It's not ideal, but it actually works.swyx [00:21:26]: Like the positioning of the words really, really matters then, right? Like this is why order matters in prompts. Yeah.Comfy [00:21:33]: Yeah. Like it, it works, but it's, it's not ideal, but it's what people expect. Like if, if someone gives a huge prompt, they expect at least some of the concepts at the end to be like present in the image. But usually when they give long prompts, they, they don't, they like, they don't expect like detail, I think. So that's why it works very well.swyx [00:21:58]: And while we're on this topic, prompts waiting, negative comments. Negative prompting all, all sort of similar part of this layer of the stack. Yeah.Comfy [00:22:05]: The, the hack for that, which works on CLIP, like it, basically it's just for SD 1.5, well, for SD 1.5, the prompt waiting works well because CLIP L is a, is not a very deep model. So you have a very high correlation between, you have the input token, the index of the input token vector. And the output token, they're very, the concepts are very close, closely linked. So that means if you interpolate the vector from what, well, the, the way Comfy UI does it is it has, okay, you have the vector, you have an empty prompt. So you have a, a chunk, like a CLIP output for the empty prompt, and then you have the one for your prompt. And then it interpolates from that, depending on your prompt. Yeah.Comfy [00:23:07]: So that's how it, how it does prompt waiting. But this stops working the deeper your text encoder is. So on T5X itself, it doesn't work at all. So. Wow.swyx [00:23:20]: Is that a problem for people? I mean, cause I'm used to just move, moving up numbers. Probably not. Yeah.Comfy [00:23:25]: Well.swyx [00:23:26]: So you just use words to describe, right? Cause it's a bigger language model. Yeah.Comfy [00:23:30]: Yeah. So. Yeah. So honestly it might be good, but I haven't seen many complaints on Flux that it's not working. So, cause I guess people can sort of get around it with, with language. So. Yeah.swyx [00:23:46]: Yeah. And then coming back to LoRa's, now the, the popular way to, to customize models is LoRa's. And I saw you also support Locon and LoHa, which I've never heard of before.Comfy [00:23:56]: There's a bunch of, cause what, what the LoRa is essentially is. Instead of like, okay, you have your, your model and then you want to fine tune it. So instead of like, what you could do is you could fine tune the entire thing, but that's a bit heavy. So to speed things up and make things less heavy, what you can do is just fine tune some smaller weights, like basically two, two matrices that when you multiply like two low rank matrices and when you multiply them together, gives a, represents a difference between trained weights and your base weights. So by training those two smaller matrices, that's a lot less heavy. Yeah.Alessio [00:24:45]: And they're portable. So you're going to share them. Yeah. It's like easier. And also smaller.Comfy [00:24:49]: Yeah. That's the, how LoRa's work. So basically, so when, when inferencing you, you get an inference with them pretty efficiently, like how ComputeWrite does it. It just, when you use a LoRa, it just applies it straight on the weights so that there's only a small delay at the base, like before the sampling to when it applies the weights and then it just same speed as, as before. So for, for inference, it's, it's not that bad, but, and then you have, so basically all the LoRa types like LoHa, LoCon, everything, that's just different ways of representing that like. Basically, you can call it kind of like compression, even though it's not really compression, it's just different ways of represented, like just, okay, I want to train a different on the difference on the weights. What's the best way to represent that difference? There's the basic LoRa, which is just, oh, let's multiply these two matrices together. And then there's all the other ones, which are all different algorithms. So. Yeah.Alessio [00:25:57]: So let's talk about LoRa. Let's talk about what comfy UI actually is. I think most people have heard of it. Some people might've seen screenshots. I think fewer people have built very complex workflows. So when you started, automatic was like the super simple way. What were some of the choices that you made? So the node workflow, is there anything else that stands out as like, this was like a unique take on how to do image generation workflows?Comfy [00:26:22]: Well, I feel like, yeah, back then everyone was trying to make like easy to use interface. Yeah. So I'm like, well, everyone's trying to make an easy to use interface.swyx [00:26:32]: Let's make a hard to use interface.Comfy [00:26:37]: Like, so like, I like, I don't need to do that, everyone else doing it. So let me try something like, let me try to make a powerful interface that's not easy to use. So.swyx [00:26:52]: So like, yeah, there's a sort of node execution engine. Yeah. Yeah. And it actually lists, it has this really good list of features of things you prioritize, right? Like let me see, like sort of re-executing from, from any parts of the workflow that was changed, asynchronous queue system, smart memory management, like all this seems like a lot of engineering that. Yeah.Comfy [00:27:12]: There's a lot of engineering in the back end to make things, cause I was always focused on making things work locally very well. Cause that's cause I was using it locally. So everything. So there's a lot of, a lot of thought and working by getting everything to run as well as possible. So yeah. ConfUI is actually more of a back end, at least, well, not all the front ends getting a lot more development, but, but before, before it was, I was pretty much only focused on the backend. Yeah.swyx [00:27:50]: So v0.1 was only August this year. Yeah.Comfy [00:27:54]: With the new front end. Before there was no versioning. So yeah. Yeah. Yeah.swyx [00:27:57]: And so what was the big rewrite for the 0.1 and then the 1.0?Comfy [00:28:02]: Well, that's more on the front end side. That's cause before that it was just like the UI, what, cause when I first wrote it, I just, I said, okay, how can I make, like, I can do web development, but I don't like doing it. Like what's the easiest way I can slap a node interface on this. And then I found this library. Yeah. Like JavaScript library.swyx [00:28:26]: Live graph?Comfy [00:28:27]: Live graph.swyx [00:28:28]: Usually people will go for like react flow for like a flow builder. Yeah.Comfy [00:28:31]: But that seems like too complicated. So I didn't really want to spend time like developing the front end. So I'm like, well, oh, light graph. This has the whole node interface. So, okay. Let me just plug that into, to my backend.swyx [00:28:49]: I feel like if Streamlit or Gradio offered something that you would have used Streamlit or Gradio cause it's Python. Yeah.Comfy [00:28:54]: Yeah. Yeah. Yeah.Comfy [00:29:00]: Yeah.Comfy [00:29:14]: Yeah. logic and your backend logic and just sticks them together.swyx [00:29:20]: It's supposed to be easy for you guys. If you're a Python main, you know, I'm a JS main, right? Okay. If you're a Python main, it's supposed to be easy.Comfy [00:29:26]: Yeah, it's easy, but it makes your whole software a huge mess.swyx [00:29:30]: I see, I see. So you're mixing concerns instead of separating concerns?Comfy [00:29:34]: Well, it's because... Like frontend and backend. Frontend and backend should be well separated with a defined API. Like that's how you're supposed to do it. Smart people disagree. It just sticks everything together. It makes it easy to like a huge mess. And also it's, there's a lot of issues with Gradio. Like it's very good if all you want to do is just get like slap a quick interface on your, like to show off your ML project. Like that's what it's made for. Yeah. Like there's no problem using it. Like, oh, I have my, I have my code. I just wanted a quick interface on it. That's perfect. Like use Gradio. But if you want to make something that's like a real, like real software that will last a long time and will be easy to maintain, then I would avoid it. Yeah.swyx [00:30:32]: So your criticism is Streamlit and Gradio are the same. I mean, those are the same criticisms.Comfy [00:30:37]: Yeah, Streamlit I haven't used as much. Yeah, I just looked a bit.swyx [00:30:43]: Similar philosophy.Comfy [00:30:44]: Yeah, it's similar. It's just, it just seems to me like, okay, for quick, like AI demos, it's perfect.swyx [00:30:51]: Yeah. Going back to like the core tech, like asynchronous queues, slow re-execution, smart memory management, you know, anything that you were very proud of or was very hard to figure out?Comfy [00:31:00]: Yeah. The thing that's the biggest pain in the ass is probably the memory management. Yeah.swyx [00:31:05]: Were you just paging models in and out or? Yeah.Comfy [00:31:08]: Before it was just, okay, load the model, completely unload it. Then, okay, that, that works well when you, your model are small, but if your models are big and it takes sort of like, let's say someone has a, like a, a 4090, and the model size is 10 gigabytes, that can take a few seconds to like load and load, load and load, so you want to try to keep things like in memory, in the GPU memory as much as possible. What Comfy UI does right now is it. It tries to like estimate, okay, like, okay, you're going to sample this model, it's going to take probably this amount of memory, let's remove the models, like this amount of memory that's been loaded on the GPU and then just execute it. But so there's a fine line between just because try to remove the least amount of models that are already loaded. Because as fans, like Windows drivers, and one other problem is the NVIDIA driver on Windows by default, because there's a way to, there's an option to disable that feature, but by default it, like, if you start loading, you can overflow your GPU memory and then it's, the driver's going to automatically start paging to RAM. But the problem with that is it's, it makes everything extremely slow. So when you see people complaining, oh, this model, it works, but oh, s**t, it starts slowing down a lot, that's probably what's happening. So it's basically you have to just try to get, use as much memory as possible, but not too much, or else things start slowing down, or people get out of memory, and then just find, try to find that line where, oh, like the driver on Windows starts paging and stuff. Yeah. And the problem with PyTorch is it's, it's high levels, don't have that much fine-grained control over, like, specific memory stuff, so kind of have to leave, like, the memory freeing to, to Python and PyTorch, which is, can be annoying sometimes.swyx [00:33:32]: So, you know, I think one thing is, as a maintainer of this project, like, you're designing for a very wide surface area of compute, like, you even support CPUs.Comfy [00:33:42]: Yeah, well, that's... That's just, for PyTorch, PyTorch supports CPUs, so, yeah, it's just, that's not, that's not hard to support.swyx [00:33:50]: First of all, is there a market share estimate, like, is it, like, 70% NVIDIA, like, 30% AMD, and then, like, miscellaneous on Apple, Silicon, or whatever?Comfy [00:33:59]: For Comfy? Yeah. Yeah, and, yeah, I don't know the market share.swyx [00:34:03]: Can you guess?Comfy [00:34:04]: I think it's mostly NVIDIA. Right. Because, because AMD, the problem, like, AMD works horribly on Windows. Like, on Linux, it works fine. It's, it's lower than the price equivalent NVIDIA GPU, but it works, like, you can use it, you generate images, everything works. On Linux, on Windows, you might have a hard time, so, that's the problem, and most people, I think most people who bought AMD probably use Windows. They probably aren't going to switch to Linux, so... Yeah. So, until AMD actually, like, ports their, like, raw cam to, to Windows properly, and then there's actually PyTorch, I think they're, they're doing that, they're in the process of doing that, but, until they get it, they get a good, like, PyTorch raw cam build that works on Windows, it's, like, they're going to have a hard time. Yeah.Alessio [00:35:06]: We got to get George on it. Yeah. Well, he's trying to get Lisa Su to do it, but... Let's talk a bit about, like, the node design. So, unlike all the other text-to-image, you have a very, like, deep, so you have, like, a separate node for, like, clip and code, you have a separate node for, like, the case sampler, you have, like, all these nodes. Going back to, like, the making it easy versus making it hard, but, like, how much do people actually play with all the settings, you know? Kind of, like, how do you guide people to, like, hey, this is actually going to be very impactful versus this is maybe, like, less impactful, but we still want to expose it to you?Comfy [00:35:40]: Well, I try to... I try to expose, like, I try to expose everything or, but, yeah, at least for the, but for things, like, for example, for the samplers, like, there's, like, yeah, four different sampler nodes, which go in easiest to most advanced. So, yeah, if you go, like, the easy node, the regular sampler node, that's, you have just the basic settings. But if you use, like, the sampler advanced... If you use, like, the custom advanced node, that, that one you can actually, you'll see you have, like, different nodes.Alessio [00:36:19]: I'm looking it up now. Yeah. What are, like, the most impactful parameters that you use? So, it's, like, you know, you can have more, but, like, which ones, like, really make a difference?Comfy [00:36:30]: Yeah, they all do. They all have their own, like, they all, like, for example, yeah, steps. Usually you want steps, you want them to be as low as possible. But you want, if you're optimizing your workflow, you want to, you lower the steps until, like, the images start deteriorating too much. Because that, yeah, that's the number of steps you're running the diffusion process. So, if you want things to be faster, lower is better. But, yeah, CFG, that's more, you can kind of see that as the contrast of the image. Like, if your image looks too bursty. Then you can lower the CFG. So, yeah, CFG, that's how, yeah, that's how strongly the, like, the negative versus positive prompt. Because when you sample a diffusion model, it's basically a negative prompt. It's just, yeah, positive prediction minus negative prediction.swyx [00:37:32]: Contrastive loss. Yeah.Comfy [00:37:34]: It's positive minus negative, and the CFG does the multiplier. Yeah. Yeah. Yeah, so.Alessio [00:37:41]: What are, like, good resources to understand what the parameters do? I think most people start with automatic, and then they move over, and it's, like, snap, CFG, sampler, name, scheduler, denoise. Read it.Comfy [00:37:53]: But, honestly, well, it's more, it's something you should, like, try out yourself. I don't know, you don't necessarily need to know how it works to, like, what it does. Because even if you know, like, CFGO, it's, like, positive minus negative prompt. Yeah. So the only thing you know at CFG is if it's 1.0, then that means the negative prompt isn't applied. It also means sampling is two times faster. But, yeah. But other than that, it's more, like, you should really just see what it does to the images yourself, and you'll probably get a more intuitive understanding of what these things do.Alessio [00:38:34]: Any other nodes or things you want to shout out? Like, I know the animate diff IP adapter. Those are, like, some of the most popular ones. Yeah. What else comes to mind?Comfy [00:38:44]: Not nodes, but there's, like, what I like is when some people, sometimes they make things that use ComfyUI as their backend. Like, there's a plugin for Krita that uses ComfyUI as its backend. So you can use, like, all the models that work in Comfy in Krita. And I think I've tried it once. But I know a lot of people use it, and it's probably really nice, so.Alessio [00:39:15]: What's the craziest node that people have built, like, the most complicated?Comfy [00:39:21]: Craziest node? Like, yeah. I know some people have made, like, video games in Comfy with, like, stuff like that. So, like, someone, like, I remember, like, yeah, last, I think it was last year, someone made, like, a, like, Wolfenstein 3D in Comfy. Of course. And then one of the inputs was, oh, you can generate a texture, and then it changes the texture in the game. So you can plug it to, like, the workflow. And there's a lot of, if you look there, there's a lot of crazy things people do, so. Yeah.Alessio [00:39:59]: And now there's, like, a node register that people can use to, like, download nodes. Yeah.Comfy [00:40:04]: Like, well, there's always been the, like, the ComfyUI manager. Yeah. But we're trying to make this more, like, I don't know, official, like, with, yeah, with the node registry. Because before the node registry, the, like, okay, how did your custom node get into ComfyUI manager? That's the guy running it who, like, every day he searched GitHub for new custom nodes and added dev annually to his custom node manager. So we're trying to make it less effortless. So we're trying to make it less effortless for him, basically. Yeah.Alessio [00:40:40]: Yeah. But I was looking, I mean, there's, like, a YouTube download node. There's, like, this is almost like, you know, a data pipeline more than, like, an image generation thing at this point. It's, like, you can get data in, you can, like, apply filters to it, you can generate data out.Comfy [00:40:54]: Yeah. You can do a lot of different things. Yeah. So I'm thinking, I think what I did is I made it easy to make custom nodes. So I think that helped a lot. I think that helped a lot for, like, the ecosystem because it is very easy to just make a node. So, yeah, a bit too easy sometimes. Then we have the issue where there's a lot of custom node packs which share similar nodes. But, well, that's, yeah, something we're trying to solve by maybe bringing some of the functionality into the core. Yeah. Yeah. Yeah.Alessio [00:41:36]: And then there's, like, video. People can do video generation. Yeah.Comfy [00:41:40]: Video, that's, well, the first video model was, like, stable video diffusion, which was last, yeah, exactly last year, I think. Like, one year ago. But that wasn't a true video model. So it was...swyx [00:41:55]: It was, like, moving images? Yeah.Comfy [00:41:57]: I generated video. What I mean by that is it's, like, it's still 2D Latents. It's basically what I'm trying to do. So what they did is they took SD2, and then they added some temporal attention to it, and then trained it on videos and all. So it's kind of, like, animated, like, same idea, basically. Why I say it's not a true video model is that you still have, like, the 2D Latents. Like, a true video model, like Mochi, for example, would have 3D Latents. Mm-hmm.Alessio [00:42:32]: Which means you can, like, move through the space, basically. It's the difference. You're not just kind of, like, reorienting. Yeah.Comfy [00:42:39]: And it's also, well, it's also because you have a temporal VAE. Mm-hmm. Also, like, Mochi has a temporal VAE that compresses on, like, the temporal direction, also. So that's something you don't have with, like, yeah, animated diff and stable video diffusion. They only, like, compress spatially, not temporally. Mm-hmm. Right. So, yeah. That's why I call that, like, true video models. There's, yeah, there's actually a few of them, but the one I've implemented in comfy is Mochi, because that seems to be the best one so far. Yeah.swyx [00:43:15]: We had AJ come and speak at the stable diffusion meetup. The other open one I think I've seen is COG video. Yeah.Comfy [00:43:21]: COG video. Yeah. That one's, yeah, it also seems decent, but, yeah. Chinese, so we don't use it. No, it's fine. It's just, yeah, I could. Yeah. It's just that there's a, it's not the only one. There's also a few others, which I.swyx [00:43:36]: The rest are, like, closed source, right? Like, Cling. Yeah.Comfy [00:43:39]: Closed source, there's a bunch of them. But I mean, open. I've seen a few of them. Like, I can't remember their names, but there's COG videos, the big, the big one. Then there's also a few of them that released at the same time. There's one that released at the same time as SSD 3.5, same day, which is why I don't remember the name.swyx [00:44:02]: We should have a release schedule so we don't conflict on each of these things. Yeah.Comfy [00:44:06]: I think SD 3.5 and Mochi released on the same day. So everything else was kind of drowned, completely drowned out. So for some reason, lots of people picked that day to release their stuff.Comfy [00:44:21]: Yeah. Which is, well, shame for those. And I think Omnijet also released the same day, which also seems interesting. Yeah. Yeah.Alessio [00:44:30]: What's Comfy? So you are Comfy. And then there's like, comfy.org. I know we do a lot of things for, like, news research and those guys also have kind of like a more open source thing going on. How do you work? Like you mentioned, you mostly work on like, the core piece of it. And then what...Comfy [00:44:47]: Maybe I should fade it in because I, yeah, I feel like maybe, yeah, I only explain part of the story. Right. Yeah. Maybe I should explain the rest. So yeah. So yeah. Basically, January, that's when the first January 2023, January 16, 2023, that's when Amphi was first released to the public. Then, yeah, did a Reddit post about the area composition thing somewhere in, I don't remember exactly, maybe end of January, beginning of February. And then someone, a YouTuber, made a video about it, like Olivio, he made a video about Amphi in March 2023. I think that's when it was a real burst of attention. And by that time, I was continuing to develop it and it was getting, people were starting to use it more, which unfortunately meant that I had first written it to do like experiments, but then my time to do experiments went down. It started going down, because people were actually starting to use it then. Like, I had to, and I said, well, yeah, time to add all these features and stuff. Yeah, and then I got hired by Stability June, 2023. Then I made, basically, yeah, they hired me because they wanted the SD-XL. So I got the SD-XL working very well withітhe UI, because they were experimenting withámphi.house.com. Actually, the SDX, how the SDXL released worked is they released, for some reason, like they released the code first, but they didn't release the model checkpoint. So they released the code. And then, well, since the research was related to code, I released the code in Compute 2. And then the checkpoints were basically early access. People had to sign up and they only allowed a lot of people from edu emails. Like if you had an edu email, like they gave you access basically to the SDXL 0.9. And, well, that leaked. Right. Of course, because of course it's going to leak if you do that. Well, the only way people could easily use it was with Comfy. So, yeah, people started using. And then I fixed a few of the issues people had. So then the big 1.0 release happened. And, well, Comfy UI was the only way a lot of people could actually run it on their computers. Because it just like automatic was so like inefficient and bad that most people couldn't actually, like it just wouldn't work. Like because he did a quick implementation. So people were forced. To use Comfy UI, and that's how it became popular because people had no choice.swyx [00:47:55]: The growth hack.Comfy [00:47:56]: Yeah.swyx [00:47:56]: Yeah.Comfy [00:47:57]: Like everywhere, like people who didn't have the 4090, they had like, who had just regular GPUs, they didn't have a choice.Alessio [00:48:05]: So yeah, I got a 4070. So think of me. And so today, what's, is there like a core Comfy team or?Comfy [00:48:13]: Uh, yeah, well, right now, um, yeah, we are hiring. Okay. Actually, so right now core, like, um, the core core itself, it's, it's me. Uh, but because, uh, the reason where folks like all the focus has been mostly on the front end right now, because that's the thing that's been neglected for a long time. So, uh, so most of the focus right now is, uh, all on the front end, but we are, uh, yeah, we will soon get, uh, more people to like help me with the actual backend stuff. Yeah. So, no, I'm not going to say a hundred percent because that's why once the, once we have our V one release, which is because it'd be the package, come fee-wise with the nice interface and easy to install on windows and hopefully Mac. Uh, yeah. Yeah. Once we have that, uh, we're going to have to, lots of stuff to do on the backend side and also the front end side, but, uh.Alessio [00:49:14]: What's the release that I'm on the wait list. What's the timing?Comfy [00:49:18]: Uh, soon. Uh, soon. Yeah, I don't want to promise a release date. We do have a release date we're targeting, but I'm not sure if it's public. Yeah, and we're still going to continue doing the open source, making MPUI the best way to run stable infusion models. At least the open source side, it's going to be the best way to run models locally. But we will have a few things to make money from it, like cloud inference or that type of thing. And maybe some things for some enterprises.swyx [00:50:08]: I mean, a few questions on that. How do you feel about the other comfy startups?Comfy [00:50:11]: I mean, I think it's great. They're using your name. Yeah, well, it's better they use comfy than they use something else. Yeah, that's true. It's fine. We're going to try not to... We don't want to... We want people to use comfy. Like I said, it's better that people use comfy than something else. So as long as they use comfy, I think it helps the ecosystem. Because more people, even if they don't contribute directly, the fact that they are using comfy means that people are more likely to join the ecosystem. So, yeah.swyx [00:50:57]: And then would you ever do text?Comfy [00:50:59]: Yeah, well, you can already do text with some custom nodes. So, yeah, it's something we like. Yeah, it's something I've wanted to eventually add to core, but it's more like not a very... It's a very high priority. But because a lot of people use text for prompt enhancement and other things like that. So, yeah, it's just that my focus has always been on diffusion models. Yeah, unless some text diffusion model comes out.swyx [00:51:30]: Yeah, David Holtz is investing a lot in text diffusion.Comfy [00:51:34]: Yeah, well, if a good one comes out, then we'll probably implement it since it fits with the whole...swyx [00:51:39]: Yeah, I mean, I imagine it's going to be a close source to Midjourney. Yeah.Comfy [00:51:43]: Well, if an open one comes out, then I'll probably implement it.Alessio [00:51:54]: Cool, comfy. Thanks so much for coming on. This was fun. Bye. Get full access to Latent Space at www.latent.space/subscribe

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No one should question China's resolve to continue to promote high-quality opening-up through the rule of law. It is mainly thanks to the consistent legislative efforts China has made over the years to safeguard the legitimate rights and interests of foreign enterprises that the country has turned itself into one of the world's top destinations for foreign direct investment.任何人都不应质疑中国继续用法治推进高质量开放的决心。中国发展成为全球外商直接投资首选地之一，得益于多年来中国不断通过立法维护在华外企合法权益。Those who want to use the antitrust probe the Chinese authorities have launched into US chipmaker Nvidia as a pretext to point an accusing finger at China for allegedly politicizing the business environment for foreign companies are not only turning a blind eye to the facts of the case, but also taking a double standard when it comes to antitrust scrutiny.那些想以中国当局对美国芯片企业英伟达发起反垄断调查为借口，指责中国涉嫌将外国公司的商业环境政治化的人，不仅无视了事实，还在反垄断调查上持双重标准。The investigation that China's top market regulator initiated on Monday into Nvidia for suspected monopolistic behaviors has caught a lot of media attention given the high-profile position the company holds as the world's leading chip producer and a key player driving the artificial intelligence revolution.12月9日，中国国家市场监管总局对英伟达涉嫌垄断行为的调查引起了媒体的广泛关注。英伟达作为全球芯片行业巨头，在推动全球AI革命中扮演着关键角色。While much of the Western media have portrayed the probe as a tactical move in the Sino-US trade war ahead of the new US administration taking office or tried to link it with what they hype up as intensified geopolitical rivalry focused on a battle for AI dominance between the two countries, the actual reason is more prosaic. According to the State Administration for Market Regulation, Nvidia is suspected of violating China's Anti-Monopoly Law, as well as the commitments it made in 2020 after it acquired Israeli chip manufacturer Mellanox Technologies in 2019.多家西方媒体报道称，在美国新政府上台前对英伟达展开调查，是中国对中美贸易战采取的一项战术性措施；还有媒体试图对此进行炒作，称调查与中美两国争夺AI发展主导权而导致地缘竞争日渐激烈有关。然而，真正原因很简单：据中国国家市场监管总局，英伟达涉嫌违反《反垄断法》及其于2020年完成收购以色列芯片企业迈络思科技时的承诺。The merger further strengthened Nvidia's market dominance in the semiconductor field, which might have the effect of excluding or restricting competition in the global and Chinese markets for GPU accelerator, dedicated network interconnection equipment and high-speed Ethernet adapter. Nvidia therefore submitted to China some measures to resolve the competition problems making clear commitments, including that it should continue to supply Nvidia GPU accelerators, Mellanox high-speed network interconnection equipment and related software and accessories to the Chinese market after the deal, based on "fair, reasonable and nondiscriminatory principles". After that, China approved the transaction.英伟达收购迈络思，进一步巩固了英伟达在半导体行业的领导地位。此项集中对全球及中国GPU加速器、专用网络互联设备、高速以太网适配器市场，具有或可能具有排除、限制竞争效果。为此，英伟达提交了解决该交易带来竞争问题的措施，作出了明确承诺，其中就包括交易双方和集中后实体“应依据公平、合理、无歧视原则”向中国市场继续供应英伟达GPU加速器、迈络思高速网络互联设备和相关软件、配件。经评估，中国国家市场监管总局批准了该交易。Yet, Nvidia has stopped supplying a number of GPU accelerator products to China in recent years on the grounds of the US government's export controls. This action has infringed upon the legitimate rights and interests of relevant Chinese enterprises. Therefore, it is not surprising that Nvidia is under investigation for allegedly violating antitrust laws. Article 46 of the Anti-Monopoly Law stipulates that antitrust enforcement agencies are authorized to investigate and take action against suspected monopolistic behaviors. Effectively implementing the conditions attached to the merger approval is both a proactive commitment from Nvidia and a legal obligation.但近年来，英伟达以美国政府不断扩大半导体出口管制为由，陆续停止了多款GPU加速器产品对中国的供应，侵害了中国相关企业合法权益。英伟达涉嫌违反《反垄断法》规定，对其立案调查也在意料之中。《反垄断法》第四十六条规定，反垄断执法机构依法对涉嫌垄断行为进行调查。有效执行审查决定附加的限制性条件，既是英伟达的主动承诺，也成为了其法定义务。In fact, Nvidia is also facing an antitrust investigation in the United States, as the Justice Department is looking into claims that Nvidia is potentially cornering the market and pressuring its customers to unfairly retain business. That includes allegations of Nvidia threatening to punish those who buy products from both itself and its competitors at the same time. The European Union's antitrust regulators are also investigating Nvidia for possible unfair sales practices.事实上，英伟达在美国也面临反垄断调查。美国司法部正对英伟达展开了反垄断调查，评估英伟达是否垄断市场，阻止客户使用竞品。有指控称，英伟达威胁客户，若同时从英伟达及其竞争对手购入商品，将受到惩罚。同时，欧盟反垄断监管机构也在调查英伟达可能存在的不公平销售行为。That Nvidia has so far responded in a low-key way—saying only "we are happy to answer any questions regulators may have about our business"—points to the confidence it has in China's legal environment. Actually, the company has taken China as one of its key global markets, with about 16 percent of its revenue coming from the country, second only to its US-generated revenue, according to data firm FactSet. Nvidia's Chief Executive Officer Jensen Huang has called China "a very important market for the technology industry", and warned there would be "enormous damage" to the US companies if they were unable to trade with China.迄今，英伟达低调回应此次反垄断调查，表示：“我们很乐意回答监管机构对我们业务提出的任何疑问”，显示出对中国法治化营商环境的信心。实际上，英伟达已将中国视为其重要国际市场之一，据FactSet的数据显示，英伟达约16%的收入来自中国，仅次于美国。英伟达CEO黄仁勋曾表示，中国市场“对科技产业非常重要”，并警告称，若无法与中国贸易，美国企业将遭受“巨大损失”。China has made it one of its top priorities to attract and use foreign investment. That it attracted 1.13 trillion yuan ($158.7 billion) in foreign investment in 2023, the third-highest in history, as compared with 941.52 billion yuan in 2019, is an indication that the country still enjoys strong competitiveness in the global investment market.中国把吸引和利用外资作为政策重点之一。2023年，中国实际使用外资金额为1.13万亿元人民币（约1587亿美元），处于历史第三高，与2019年的9415.2亿元相比，表明中国在全球投资市场上仍享有强大竞争力。Contrary to any attempts to use the Nvidia investigation as a means to discredit China's efforts to create a level playing field for foreign businesses, the probe shows that China's business environment operates under the law. As it has affirmed on many occasions, the country will continue to develop a market-oriented, legalized and internationalized first-class business environment in which foreign companies can enter the Chinese market and share the country's development dividends.对英伟达展开反垄断调查，不仅不能抹煞中国为在华外企营造公平竞争环境的努力，反而凸显出中国法治化的营商环境。正如中国在各种场合多次重申的那样，中国将继续营造市场化、法治化、国际化一流营商环境，欢迎外企来华，共享中国发展红利。prosaicadj.乏味的;平淡无奇的hypen.（新闻媒体的）大肆宣传，炒作dividendn.红利，股息

CUDA is one of the primary reasons people buy NVIDIA GPUs but what if there was a way to have this compute power on AMD and Intel GPUs as well. Well there is a project to make that happen and it's called ZLUDA. ==========Support The Channel========== ► Patreon: https://www.patreon.com/brodierobertson ► Paypal: https://www.paypal.me/BrodieRobertsonVideo ► Amazon USA: https://amzn.to/3d5gykF ► Other Methods: https://cointr.ee/brodierobertson ==========Guest Links========== YouTube: https://www.youtube.com/c/ericparker Twitter: https://x.com/atEricParker ==========Support The Show========== ► Patreon: https://www.patreon.com/brodierobertson ► Paypal: https://www.paypal.me/BrodieRobertsonVideo ► Amazon USA: https://amzn.to/3d5gykF ► Other Methods: https://cointr.ee/brodierobertson =========Video Platforms==========

Supercharge your analysis with AI! Get 15% of your membership with our special link here: https://finchat.io/csi/ What sent AppLovin APP stock soaring nearly another 50% after Q3 2024, and an incredible 455% so far in 2024? Nick and Kasey discuss the power of AI in digital advertising, AppLovin's focus on mobile gaming ads, expansion into e-commerce, and the partnership with Google Cloud using Nvidia GPUs. Is it still a good time to invest in AppLovin, or is the stock now too expensive? Don't miss our insights on AI's transformative role in digital advertising. Join us on Discord with Semiconductor Insider: https://ko-fi.com/chipstockinvestor

OpeningI make mistakes on my podcasts. Please feel free to comment and fact-check me. It's hard. I try to go hard and not pause.Oregon plays Michigan today. Ducks favored by 14.5Redmond:Parents.Cold.Food carts and BEER!!! Need that in San Jose! Huge business opportunity!Single digit golf stats: MarketsOverall strong earnings, but seeing some pullback.  Can't bet against these big guys.  Wilshire 5000 to GDP Ratio:2.0 almost at all time high. Last time at 2 was Nov 2021.  CAPE Ratio: 3538 in Nov 2021. 44 in Dec 1999. Ford, Meta, Google, Microsoft, XAIFord EarningsFord to idle production of F150 Lightning. Ford has sold a mere 22,807 Lightnings so far this yearFord's EV division has lost $3.7 billion during the first three quarters of this year—about $55,000 per EV—and expects $5 billion to $5.5 billion in losses this year.Tesla Net Income $2.2 billion. Meta: These numbers are insane!Revenue up $6b or 19%. $41b vs $34bNet income up $4b (35%). . $16 vs $12. Google /Alphabet EarningsRevenues up 15% to $88.3 billion.Net income increased 34%MicrosoftRevenue was $65.6 billion and increased 16%xAI plans to bring online an additional 100,000 Nvidia GPUs at its Memphis. President of the USTrump on RoganJD Vance on RoganTulsi and RFK have also been on Rogan. And Elon. Kamala on Call her DaddyHillary Clinton in 2008:“If they've committed a crime… DEPORT THEM! No questions asked. PolyMarket: Jeff Bezos on Washington Post - TRUSTRegulations: From Chamath: Remember the Whales, Sharks and Seal studies from SpaceX.  Recommendations:The Penguin on Max. Slow Horses on Apple. The Lioness on Paramount.  Not easy to figure out!! Hours on phone/internet with Xfinity. No humans…impossible.  

It's no secret that Stripe has doubled down on its crypto offerings, enabling crypto purchases in the EU back in July and announcing a Pay with Crypto feature earlier this month. This week, the fintech giant made its dedication to crypto even clearer with its largest deal to date: its acquisition of stablecoin platform Bridge for an eye-popping $1.1 billion. Today on TechCrunch's Equity podcast, hosts Kirsten Korosec, Anthony Ha and Devin Coldewey kicked off the show with their thoughts on the deal – mainly how surprising it is to see anyone spending over $1 billion on crypto in 2024.But of course, there was so much more startup and venture news for the crew to get into this week. Listen to the full episode for more about:Mobileye founder and CEO Amnon Shashua's latest startupA 3D metal printing startup's $14 million round from Boeing's AE Ventures and NvidiaAndreessen Horowitz's plans to provide its portfolio companies with Nvidia GPUsAnd who we're expecting to see at TechCrunch's Disrupt 2024.Equity will be live at Disrupt on Tuesday, so we'll see you there! Equity is TechCrunch's flagship podcast, produced by Theresa Loconsolo, and posts every Wednesday and Friday. Subscribe to us on Apple Podcasts, Overcast, Spotify and all the casts. You also can follow Equity on X and Threads, at @EquityPod. For the full episode transcript, for those who prefer reading over listening, check out our full archive of episodes over at Simplecast. Credits: Equity is produced by Theresa Loconsolo with editing by Kell. Bryce Durbin is our Illustrator. We'd also like to thank the audience development team and Henry Pickavet, who manages TechCrunch audio products.

This Week's Topics: Prada helps make a spacesuit Google makes deal for nuclear power NVIDIA GPU 25th anniversary Episode's chat: https://britishtechnetwork.com/chat/view.php?dt=2024-10-17 Guests: Jeff Gamet, Patrice Brend'amour, Ian Grant, Tom Ferry

This Week's Topics: Prada helps make a spacesuit Google makes deal for nuclear power NVIDIA GPU 25th anniversary Episode's chat: https://britishtechnetwork.com/chat/view.php?dt=2024-10-17 Guests: Jeff Gamet, Patrice Brend'amour, Ian Grant, Tom Ferry

The AI landscape is moving quickly. Here are 5 recent trends to keep an eye on for the last quarter of 2024. SHOW: 862SHOW TRANSCRIPT: The Cloudcast #862 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotwCHECK OUT OUR NEW PODCAST: "CLOUDCAST BASICS"SHOW SPONSOR:Upgrade to the next generation of the cloud.  Oracle Cloud InfrastructureSHOW NOTES:Western North Carolina Red Cross (DONATIONS)Eastern Tennessee Red Cross (DONATIONS)5 (+1) AI ITEMS TO KEEP AN EYE ONDo business leaders understand what LLMs do?Small models vs. Large models vs. One-size fits all modelsDoes OpenAI funding unlock a new round of hype funding?Does anything (company, technology) reduce the dependency on NVIDIA GPUs?What are the Top 10 revenue generating AI apps, after ChatGPT and GitHub CoPilot? What is the framework or “middleware” that unlocks the next breakthroughs in AI?FEEDBACK?Email: show at the cloudcast dot netTwitter: @cloudcastpodInstagram: @cloudcastpodTikTok: @cloudcastpod

Send us a textSubscribe to AG Dillon Pre-IPO Stock Research at agdillon.com/subscribe;- Wednesday = secondary market valuations, revenue multiples, performance, index fact sheets- Saturdays = pre-IPO news and insights, webinar replays00:07 | OpenAI Secures $6.6B Round, Expands Capabilities- Introduced real-time voice assistant capabilities through API for businesses- New API features and developer events announced to engage 3M+ developers- Workforce doubled to 1,700 employees from 770 in November 2023- Raised $6.6B funding round at $157B valuation (primary round)- Secured $4B revolving credit line with potential to expand to $10B in liquidity01:31 | Cerebras Files for IPO with 220% Revenue Growth- Specializes in AI hardware, particularly wafer-scale chips for AI training- Revenue of $136.4M in H1 2024 vs. $78.7M for full year 2023- Faces customer concentration risk with 87% of H1 2024 revenue from G42- Raised $715M in venture capital, valuation at $6.7B (secondary), up 124% since June 202403:11 | Anthropic Hires Former OpenAI Co-Founder, Valued at $25.2B- Added Durk Kingma, co-founder of OpenAI, to its growing talent pool- Continues attracting top talent from OpenAI and other tech giants- Positioned as a leader in responsible AI development under CEO Dario Amodei- Secondary market valuation: $25.2B (+40% vs Jan 2024), rumored to be raising at $40B04:09 | Flexport Restructures to Improve Profitability, Valuation Plummets- Logistics tech company plans to sublease warehouse space, integrate sales teams- Faced layoffs (20% in October, 15% in January) and loss of key customers like Crocs- Aiming for global expansion by 2027 with an asset-light model- Secondary market valuation: $1.95B (-75% vs Jan 2022 primary round)05:15 | Epic Games Files Antitrust Lawsuit Against Google and Samsung- Filed lawsuit over Samsung's "Auto Blocker" feature, alleging it blocks third-party app stores- Claims Google Play's dominance is reinforced by Samsung's preinstalled feature- Lawsuit follows mixed success in earlier legal battles against Google and Apple- Secondary market valuation: $16.6B (-26% vs Feb 2024 round)06:20 | CoreWeave Raises $421M, Valued at $23B- Cloud provider specializing in Nvidia GPUs for AI computing- Raised $421M in Series B, backed by Nvidia, Magnetar Capital, Blackstone- Secured $2.3B in debt financing in August 2024- Appointed former Google Cloud VP of finance as CFO, signaling potential IPO- Currently raising a primary round at a $23B valuation07:34 | Pre-IPO Stock Market Weekly Performance- agdillon.com/subscribe to receive weekly pdf report in your inbox- Pre-IPO +0.77% for week, +67.25% for last 1yr- Up week: Synk +17.1%, OpenAI +13.7%, Canva +6.9%, Rippling +5.9%, Notion +5.3%- Down week: xAI -5.3%, CoreWeave -2.2%, Cohere -1.7%, Epic Games -1.6%, Neuralink -0.6%- Top valuations: ByteDance $301b, SpaceX $229b, OpenAI $157b, Stripe $84b, Databricks $46b08:20 | Pre-IPO Stock Vintage Index Weekly Performance- agdillon.com/subscribe to receive weekly pdf report in your inbox- 2024 Vintage Index top contributors since inception: Revolut +201%, Rippling +113%, Anduril +76%, OpenAI +56%, Klarna +40% … the 2024 Vintage Index is up 63% since its inception, or year to date 2024- Key metric averages for all Vintage Indexes 5 years old or older…472% cumulative return since inception58% realized, distributed to investors5.72 TVPI; 3.31 DPI, 2.41 RVPI4.1 years to return the fund

Send us a textSubscribe to AG Dillon Pre-IPO Stock Research at agdillon.com/subscribe;- Wednesday = secondary market valuations, revenue multiples, performance, index fact sheets- Saturdays = pre-IPO news and insights, webinar replays00:06 | SpaceX Sets New Record in Civilian Space Travel- Space payload delivery and satellite internet company- Polaris Dawn mission: first commercial spacewalk, civilian crew led by Jared Isaacman- Crew spent 20 minutes outside SpaceX Crew Dragon capsule- Reached 870 miles above Earth, setting a civilian space travel record- Tested new EVA suits, conducted 40 experiments- Secondary market valuation: $223B (+6.3% vs Jul 2024 round)01:20 | OpenAI Launches New AI Model, "OpenAI o1"- AI large language model business- Announced "OpenAI o1," focusing on enhancing reasoning abilities in math, coding, and science- Achieved 83% on International Mathematical Olympiad exam (up from 13% with prior models)- Available to ChatGPT Plus and Team users- Competitors like Google and Anthropic developing similar AI models01:59 | OpenAI in Talks for $6.5B Funding Round at $150B Valuation- OpenAI in discussions to raise $6.5B at a $150B valuation (primary round)- Previous valuation: $86B earlier in 2024- Seeking $5B in debt via revolving credit facility- Key investors include Thrive Capital, Microsoft, Apple, Nvidia, and UAE-backed MGX fund02:55 | OpenAI's ChatGPT Hits 10M Paying Subscribers- ChatGPT: 10M paying subscribers, 1M on higher-priced business plans- Generates $225M in monthly revenue, or $2.7B annually- Projected $4B in annual revenue in the next 12 months (up from $1.6B in late 2023)- Valuation at $150B, 37.5x forward revenue03:48 | Glean Raises $260M Series E, Valued at $4.6B- Enterprise AI solutions company- Raised $260M in Series E, valuing Glean at $4.6B (primary)- Competes with Microsoft Copilot and Amazon's chatbot- Global generative AI spending expected to rise to $143B by 202704:30 | Klarna Cuts Losses and Integrates AI Across Operations- Consumer credit and payments company- Severed ties with Salesforce and Workday, focusing on AI automation- 2023 losses dropped to $241M (from $1B in 2022)- AI-powered customer service assistant handled 2.3M interactions in its first month- Headcount reduced from 4,500 to 3,800, aiming for 2,000- Secondary market valuation: $10.1B (+50.4% vs Jul 2022 round)05:33 | Poolside in Talks to Raise $500M, Potential $3B Valuation- AI solution for software developers- In talks to raise $500M, potentially valuing the company at $3B (primary)- Co-founded by former GitHub CTO Jason Warner and Eiso Kant- Secured $126M in seed funding; secured Nvidia GPUs with Iris Energy Ltd06:17 | eToro Settles with SEC, Limits Crypto Offerings in the U.S.- Retail brokerage company- Agreed to $1.5M penalty with SEC over operating as an unregistered broker and clearing agency- U.S. users can trade only Bitcoin, Bitcoin Cash, and Ether; 180-day window to sell/withdraw other tokens- 38M registered users globally, offering over 100 cryptoassets outside the U.S.- Secondary market valuation: $7.3B (+107.7% vs Mar 2023 round)07:05 | Anduril Launches Modular, Autonomous Barracuda Air Vehicles- Defense contractor- Introduced Barracuda family of autonomous air vehicles with three versions- Barracuda-100, 250, and 500 models: ranges from 85 to 500 nautical miles- Systems are 30% cheaper and 50% faster to produce than competitors- Secondary market valuation: $17.0B (+21.5% vs Aug 2024 round)08:10 | Pre-IPO Stock Market Weekly Performance09:08 | Pre-IPO Stock Vintage Index Wee

We'd love to hear from you! Send us a text message.In this episode of "Discover Daily" by Perplexity, we explore the cutting-edge world of AI and the ancient realm of board games. We begin with Elon Musk's xAI unveiling Colossus, the world's largest NVIDIA GPU supercomputer. Built in just 122 days, this massive AI training system boasts 100,000 Nvidia H100 GPUs and is set to challenge industry leaders in the race for AI supremacy. We look at the implications of this technological marvel for AI development and its potential impact on various industries. Our journey then takes us back over 5,000 years to ancient Egypt, where we uncover the fascinating history of Senet, the world's oldest known board game. We explore how this simple game evolved from a recreational pastime to a profound spiritual symbol, representing the soul's journey through the afterlife. We also examine the Royal Game of Ur from ancient Mesopotamia and discuss how these ancient games have influenced modern board game design and continue to captivate players today.F This episode offers a unique perspective on the intersection of ancient human ingenuity and modern technological advancements, showcasing the enduring human fascination with games and strategic thinking.From Perplexity's Discover Feed:https://www.perplexity.ai/page/xai-brings-colossus-online-f6EQHsQ_S.egPXbSN17CmQhttps://www.perplexity.ai/page/the-oldest-known-board-game-tgt2YT0uS4e.tbphuBZAuA**Introducing the Race to Infinity**Until September 15th, log into Perplexity with your .edu email to redeem a free month of Perplexity Pro on us.Run, don't walk, because it gets better. During this period, you can share Perplexity with your classmates to unlock prizes (stickers, hats, gift cards). If your campus reaches 500+ signups before September 15th, we'll give out an entire year of Perplexity Pro for free to everyone on campus. Better get referring!Perplexity is the fastest and most powerful way to search the web. Perplexity crawls the web and curates the most relevant and up-to-date sources (from academic papers to Reddit threads) to create the perfect response to any question or topic you're interested in. Take the world's knowledge with you anywhere. Available on iOS and Android Join our growing Discord community for the latest updates and exclusive content. Follow us on: Instagram Threads X (Twitter) YouTube Linkedin

This is a recap of the top 10 posts on Hacker News on August 8th, 2024.This podcast was generated by wondercraft.ai(00:38): Google and Meta struck secret ads deal to target teenagersOriginal post: https://news.ycombinator.com/item?id=41188295&utm_source=wondercraft_ai(01:35): I got almost all of my wishes granted with RP2350Original post: https://news.ycombinator.com/item?id=41191069&utm_source=wondercraft_ai(03:11): Firefox Sidebar and Vertical tabs: try them outOriginal post: https://news.ycombinator.com/item?id=41192118&utm_source=wondercraft_ai(04:18): LibreCUDA – Launch CUDA code on Nvidia GPUs without the proprietary runtimeOriginal post: https://news.ycombinator.com/item?id=41194024&utm_source=wondercraft_ai(05:33): RLHF is just barely RLOriginal post: https://news.ycombinator.com/item?id=41188647&utm_source=wondercraft_ai(06:31): Do quests, not goalsOriginal post: https://news.ycombinator.com/item?id=41194431&utm_source=wondercraft_ai(07:35): Raspberry Pi Pico 2, our new $5 microcontroller board, on sale nowOriginal post: https://news.ycombinator.com/item?id=41192341&utm_source=wondercraft_ai(08:57): Cosmic: A New Desktop EnvironmentOriginal post: https://news.ycombinator.com/item?id=41192303&utm_source=wondercraft_ai(10:13): FlexAttention: The Flexibility of PyTorch with the Performance of FlashAttentionOriginal post: https://news.ycombinator.com/item?id=41188966&utm_source=wondercraft_ai(11:22): How we migrated onto K8s in less than 12 monthsOriginal post: https://news.ycombinator.com/item?id=41193045&utm_source=wondercraft_aiThis is a third-party project, independent from HN and YC. Text and audio generated using AI, by wondercraft.ai. Create your own studio quality podcast with text as the only input in seconds at app.wondercraft.ai. Issues or feedback? We'd love to hear from you: team@wondercraft.ai

Guests: Vipul Ved Prakash, CEO and co-founder of Together AI; and Bucky Moore, partner at Kleiner PerkinsNo one knows for sure whether the future of AI will be driven more by research labs and AI-native companies, or by enterprises applying the technology to their own data sets. But one thing is for sure, says Together AI CEO and co-founder Vipul Ved Prakash: It's going to be a lot bigger. “If you look at the next 10 years or the next 20 years, we are doing maybe 0.1 percent of [the] AI that we'll be doing 10 years from now.” In this episode, Vipul, Bucky, and Joubin discuss startup table stakes, Tri Dao, tentpole features, open-source AI, non-financial investors, Meta Llama, deep learning researchers, WeWork, “Attention is All You Need,” create vs. capture, Databricks, Docker, scaling laws, Ilya Sutskever, IRC, and Jordan Ritter and Napster.Chapters:(00:53) - Executive hiring (04:40) - How Vipul and Bucky met (06:54) - Six years at Apple (08:19) - Together and the AI landscape (12:47) - Apple's deal with OpenAI (14:27) - Open vs. closed AI (17:32) - Nvidia GPUs and capital expenditures (22:48) - Fame and reputation (24:17) - Planning for an uncertain future (27:00) - Stress and attention (30:18) - AI research (34:58) - Challenges for AI businesses (39:02) - Frequent disagreements (43:05) - Vipul's first startups, Cloudmark and Topsy (47:55) - Taking time off (50:09) - The crypto-AI connection (53:20) - Who Together AI is hiring (54:37) - What “grit” means to Vipul Links:Connect with VipulTwitterLinkedInConnect with BuckyTwitterLinkedInConnect with JoubinTwitterLinkedInEmail: grit@kleinerperkins.com Learn more about Kleiner PerkinsThis episode was edited by Eric Johnson from LightningPod.fm

Guest: Clara Shih, CEO of Salesforce AIIn 2020, Clara Shih quit Hearsay, the company she founded and ran for 11 years; in hindsight, she says “I probably should have quit a little bit sooner.” But at the time, she cared a lot — too much — about what everyone else thought. “There's a lot of guilt around leaving initially and feeling bad for feeling bad,” Clara says. But her worries subsided when her replacement and former COO, Mike Boese, guided the company with “class and grace” to an exit: A $125 million+ acquisition just this week by Yext.In this episode, Clara meets Joubin on the top level of Salesforce Tower to discuss Sarah Friar, AI “frenemies,” practice and discipline, quantifying hard work, burnout, turning off, Intercom, elite operators, “Serviceforce,” ChatGPT, hiring for hunger, kids and achivement, Thomas “TK” Kurian, Slack, David Schmeier, Juan Perez, Nvidia GPUs, Silvio Savarese and Frontier AI, Starbucks, and Sheryl Sandberg.Chapters:(01:04) - Apple's OpenAI partnership (03:18) - Organizing your life (04:45) - Working smarter (07:49) - Hindsight (08:58) - Hearsay's acquisition by Yext (11:23) - What everyone else thinks (14:25) - Productive worry (17:27) - Coming (back) to Salesforce (20:47) - Paranoia and immigrant hustle (25:42) - Quitting (26:39) - Meetings and infusing AI (29:38) - Internal time savings (31:48) - The Matthew McConaughey ads (33:48) - Different horizons (37:35) - France and sovereign AI (38:46) - How Clara uses AI to keep up (40:33) - Dis-intermediating Netflix (41:27) - Who Salesforce AI is hiring (42:05) - Advice from Howard Schultz and Marc Benioff Links:Connect with ClaraTwitterLinkedInConnect with JoubinTwitterLinkedInEmail: grit@kleinerperkins.com Learn more about Kleiner PerkinsThis episode was edited by Eric Johnson from LightningPod.fm

Send Everyday AI and Jordan a text messageClinical trials can sometimes take years and cost many of millions of dollars. Why is that? And how can AI help bring faster and better outcomes?  Saurabh Jain, Executive Chairman at TrialKey.ai,  joins us to discuss how we can harness AI for clinical trials. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan and Saurabh questions on AI in clinical trialsRelated Episode: Ep 107: How AI Turns Clinical Trials into Medical KnowledgeUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:1. State and Limitations of Traditional Clinical Trials2. Role of Generative AI in Modern Drug Development3. AI in Clinical Trials4. Exploring ChatGPT in Clinical TrialsTimestamps:01:30 Daily AI news04:20 About Saurabh and TrialKey.ai09:33 ChatGPT transforms unstructured data to structured.10:43 Addressing hallucinations, incomplete datasets, and novel drugs.15:16 Challenges in drug development and commercialization balancing.18:30 Challenges of AI in research investment and focus.24:15 Balancing AI and human ethics in medicine.28:23 AI's potential in clinical trials, despite challenges.Keywords:Generative AI, clinical trials, advanced AI, drug discovery, Treatment Market, AI news, Elon Musk, NVIDIA GPU chips, Tesla, XAI, US Treasury, Janet Yellen, Saurabh Jain, Trial Key AI,Large language model, COVID-19, drug development, Jordan Wilson, AI simulations, drug market approval, FDA regulations, GPT technology, chat GPT, AI computer technology, pharmaceutical companies, machine learning, rare diseases, trial design, phase 3 trials, trial success prediction. Get more out of ChatGPT by learning our PPP method in this live, interactive and free training! Sign up now: https://youreverydayai.com/ppp-registration/

Topics covered in this episode: NumPy 2.0 release date is June 16 Uvicorn adds multiprocess workers pixi JupyterLab 4.2 and Notebook 7.2 are available Extras Joke Watch on YouTube About the show Sponsored by Mailtrap: pythonbytes.fm/mailtrap Connect with the hosts Michael: @mkennedy@fosstodon.org Brian: @brianokken@fosstodon.org Show: @pythonbytes@fosstodon.org Join us on YouTube at pythonbytes.fm/live to be part of the audience. Usually Tuesdays at 10am PT. Older video versions available there too. Finally, if you want an artisanal, hand-crafted digest of every week of the show notes in email form? Add your name and email to our friends of the show list, we'll never share it. Brian #1: NumPy 2.0 release date is June 16 “This release has been over a year in the making, and is the first major release since 2006. Importantly, in addition to many new features and performance improvement, it contains breaking changes to the ABI as well as the Python and C APIs. It is likely that downstream packages and end user code needs to be adapted - if you can, please verify whether your code works with NumPy 2.0.0rc2.” NumPy 2.0.0 Release Notes NumPy 2.0 migration guide including “try just running ruff check path/to/code/ --select NPY201” “Many of the changes covered in the 2.0 release notes and in this migration guide can be automatically adapted in downstream code with a dedicated Ruff rule, namely rule NPY201.” Michael #2: Uvicorn adds multiprocess workers via John Hagen The goal was to no longer need to suggest that people use Gunicorn on top of uvicorn. Uvicorn can now in a sense "do it all” Steps to use it and background on how it works. Brian #3: pixi Suggested by Vic Kelson “pixi is a cross-platform, multi-language package manager and workflow tool built on the foundation of the conda ecosystem.” Tutorial: Doing Python development with Pixi Some quotes from Vic: “Pixi is a project manager, written in Rust, that allows you to build Python projects without having Python previously installed. It's installable with Homebrew (brew install pixi on Linux and MacOS). There's support in VSCode and PyCharm via plugins. By default, pixi fetches packages from conda-forge, so you get the scientific stack in a pretty reliable and performant build. If a package isn't on conda-forge, it'll look on PyPI, or I believe you can force it to look on PyPI if you like.” “So far, it works GREAT for me. What really impressed me is that I got a Jupyter environment with CuPy utilizing my aging Nvidia GPU on the FIRST TRY.” Michael #4: JupyterLab 4.2 and Notebook 7.2 are available JupyterLab 4.2.0 has been released! This new minor release of JupyterLab includes 3 new features, 20 enhancements, 33 bug fixes and 29 maintenance tasks. Jupyter Notebook 7.2.0 has also been released Highlights include Easier Workspaces Management with GUI Recently opened/closed files Full notebook windowing mode by default (renders only the cells visible in the window, leading to improved performance) Improved Shortcuts Editor Dark High Contrast Theme Extras Brian: Help test Python 3.13! Help us test free-threaded Python without the GIL both from Hugo van Kemenade Python Test 221: How to get pytest to import your code under test is out Michael: Bend follow up from Bernát Gábor “Bend looks roughly like Python but is nowhere there actually. For example it has no for loops, instead you're meant to use bend keyword (hence the language name) to expand calculations and another keyword to join branches. So basically think of something that resembles Python at high level, but without being compatible with that and without any of the standard library or packages the Python language provides. That being said does an impressive job at parallelization, but essentially it's a brand new language with new syntax and paradigms that you will have to learn, it just shares at first look similarities with Python the most.” Joke: Do-while

Let's agree on this: so many schools are dropping the ball on GenAI. So, what should schools be doing NOW to make sure they can benefit from an AI future? We find out with Darren Coxon, Founder of Coxon AI. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan and Darren questions on AI in educationRelated Episodes:Ep 168: AI in Higher Education is Broken. How to Fix it.Ep 178: Teaching The Next Generation About AIUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTimestamps:01:20 Daily AI news04:05 About Darren and Coxon AI07:57 Fear and misunderstanding of AI in education.10:52 AI alignment with school leaders crucial for success.15:59 AI in education example using Gemini and Claude.17:51 AI as learning support, teachers should improve.20:38 Schools under pressure to adopt AI strategies.24:29 Feeling like part of an experiment, teaching above.27:08 Kids learning DNA through friendly AI conversations.30:38 Start using it with younger non-exam students.Topics Covered in This Episode:1. AI as a Support Tool, Not a Replacement2. Schools and Their Relation to AI3. Integration of AI Into Curriculum and Teaching Approaches4. Slow Pace of Change in Education Systems5. Adopting AI in Low-Stakes Educational SituationsKeywords:AI in education, Darren Coxon, AI strategy in schools, artificial intelligence, engaging students, pedagogy, chatbots in education, cyberbullying, plagiarism, safeguarding, digital strategy in schools, human skills, critical thinking, creativity, education system change, generative AI, hyper-personalized learning, human-focused activities, everydayai.com newsletter, AI integration concerns, fear of AI, large language models, leadership alignment, AI misconceptions, future of education, AI fun, AI adoption, Microsoft & g42 partnership, AMD GPU chips, NVIDIA GPU chips. Get more out of ChatGPT by learning our PPP method in this live, interactive and free training! Sign up now: https://youreverydayai.com/ppp-registration/

If you're a fast-growing company needing to leverage all that Generative AI has to offer, the last thing you want is a vendor lock-in. Or, finding out the AI solution you thought you needed doesn't actually have the juice you need. One solution? Amazon Web Services (AWS). We sit down and talk all things AI models with Shruti Koparkar, Product Marketing Lead, AI/ML Acceleration at AWS. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan and Shruti questions on GenAI and AWSRelated Episodes:Ep 238: WWT's Jim Kavanaugh Gives GenAI Blueprint for BusinessesEp 232: Creating and Capturing Business Value with GenAI – Insights From HPEUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTimestamps:01:20 About Shruti Koparkar and AWS02:50 More on AWS and Generative AI09:54 X-rated computing used to fine-tune models. 12:46 Adobe focused on AI tools, using AWS.17:50 AI evolution and AWS preparedness for influx.21:01 Experienced ARM engineer excited about NVIDIA's potential.24:08 Identify use cases for small-scale applications.Topics Covered in This Episode:1. AWS and its Role in Generative AI2. AWS and Foundation Models2. AWS's Involvement with Companies Implementing Generative AI4. Future Preparations of AWS for Generative AI DevelopmentsKeywords:generative AI, industry insider, Everyday AI, podcast, livestream, newsletter, AWS, Shruti Koparkar, product marketing, x rated computing, NVIDIA GPUs, Amazon Web Services, cloud computing, foundation models, Amazon Bedrock, API, Amazon SageMaker, customizing models, data security, ChatGPT, Perplexity, Amazon Code Whisperer, Adobe, ARM, Leonardo dot ai, apps, NVIDIA GTC conference, accelerated computing Get more out of ChatGPT by learning our PPP method in this live, interactive and free training! Sign up now: https://youreverydayai.com/ppp-registration/