Podcasts about gpus

Live from Morgan Stanley's European Tech, Media and Telecom conference in Barcelona, our roundtable of analysts discuss artificial intelligence in Europe, and how the region could enable the Agentic AI wave.Read more insights from Morgan Stanley.----- Transcript -----Paul Walsh: Welcome to Thoughts on the Market. I'm Paul Walsh, Morgan Stanley's European head of research product. We are bringing you a special episode today live from Morgan Stanley's, 25th European TMT Conference, currently underway. The central theme we're focused on: Can Europe keep up from a technology development perspective?It's Wednesday, November the 12th at 8:00 AM in Barcelona. Earlier this morning I was live on stage with my colleagues, Adam Wood, Head of European Technology and Payments, Emmet Kelly, Head of European Telco and Data Centers, and Lee Simpson, Head of European Technology Hardware. The larger context of our conversation was tech diffusion, one of our four key themes that we've identified at Morgan Stanley Research for 2025. For the panel, we wanted to focus further on agentic AI in Europe, AI disruption as well as adoption, and data centers. We started off with my question to Adam. I asked him to frame our conversation around how Europe is enabling the Agentic AI wave. Adam Wood: I mean, I think obviously the debate around GenAI, and particularly enterprise software, my space has changed quite a lot over the last three to four months. Maybe it's good if we do go back a little bit to the period before that – when everything was more positive in the world. And I think it is important to think about, you know, why we were excited, before we started to debate the outcomes. And the reason we were excited was we've obviously done a lot of work with enterprise software to automate business processes. That's what; that's ultimately what software is about. It's about automating and standardizing business processes. They can be done more efficiently and more repeatably. We'd done work in the past on RPA vendors who tried to take the automation further. And we were getting numbers that, you know, 30 – 40 percent of enterprise processes have been automated in this way. But I think the feeling was it was still the minority. And the reason for that was it was quite difficult with traditional coding techniques to go a lot further. You know, if you take the call center as a classic example, it's very difficult to code what every response is going to be to human interaction with a call center worker. It's practically impossible. And so, you know, what we did for a long time was more – where we got into those situations where it was difficult to code every outcome, we'd leave it with labor. And we'd do the labor arbitrage often, where we'd move from onshore workers to offshore workers, but we'd still leave it as a relatively manual process with human intervention in it. I think the really exciting thing about GenAI is it completely transforms that equation because if the computers can understand natural human language, again to our call center example, we can train the models on every call center interaction. And then first of all, we can help the call center worker predict what the responses are going to be to incoming queries. And then maybe over time we can even automate that role. I think it goes a lot further than, you know, call center workers. We can go into finance where a lot of work is still either manual data re-entry or a remediation of errors. And again, we can automate a lot more of those tasks. That's obviously where, where SAP's involved. But basically what I'm trying to say is if we expand massively the capabilities of what software can automate, surely that has to be good for the software sector that has to expand the addressable markets of what software companies are going to be able to do. Now we can have a secondary debate around: Is it going to be the incumbents, is it going to be corporates that do more themselves? Is it going to be new entrants that that benefit from this? But I think it's very hard to argue that if you expand dramatically the capabilities of what software can do, you don't get a benefit from that in the sector. Now we're a little bit more consumer today in terms of spending, and the enterprises are lagging a little bit. But I think for us, that's just a question of timing. And we think we'll see that come through.I'll leave it there. But I think there's lots of opportunities in software. We're probably yet to see them come through in numbers, but that shouldn't mean we get, you know, kind of, we don't think they're going to happen. Paul Walsh: Yeah. We're going to talk separately about AI disruption as we go through this morning's discussion. But what's the pushback you get, Adam, to this notion of, you know, the addressable market expanding? Adam Wood: It's one of a number of things. It's that… And we get onto the kind of the multiple bear cases that come up on enterprise software. It would be some combination of, well, if coding becomes dramatically cheaper and we can set up, you know, user interfaces on the fly in the morning, that can query data sets; and we can access those data sets almost in an automated way. Well, maybe companies just do this themselves and we move from a world where we've been outsourcing software to third party software vendors; we do more of it in-house. That would be one. The other one would be the barriers to entry of software have just come down dramatically. It's so much easier to write the code, to build a software company and to get out into the market. That it's going to be new entrants that challenge the incumbents. And that will just bring price pressure on the whole market and bring… So, although what we automate gets bigger, the price we charge to do it comes down. The third one would be the seat-based pricing issue that a lot of software vendors to date have expressed the value they deliver to customers through. How many seats of the software you have in house. Well, if we take out 10 – 20 percent of your HR department because we make them 10, 20, 30 percent more efficient. Does that mean we pay the software vendor 10, 20, 30 percent less? And so again, we're delivering more value, we're automating more and making companies more efficient. But the value doesn't accrue to the software vendors. It's some combination of those themes I think that people would worry about. Paul Walsh: And Lee, let's bring you into the conversation here as well, because around this theme of enabling the agentic AI way, we sort of identified three main enabler sectors. Obviously, Adam's with the software side. Cap goods being the other one that we mentioned in the work that we've done. But obviously semis is also an important piece of this puzzle. Walk us through your thoughts, please. Lee Simpson: Sure. I think from a sort of a hardware perspective, and really we're talking about semiconductors here and possibly even just the equipment guys, specifically – when seeing things through a European lens. It's been a bonanza. We've seen quite a big build out obviously for GPUs. We've seen incredible new server architectures going into the cloud. And now we're at the point where we're changing things a little bit. Does the power architecture need to be changed? Does the nature of the compute need to change? And with that, the development and the supply needs to move with that as well. So, we're now seeing the mantle being picked up by the AI guys at the very leading edge of logic. So, someone has to put the equipment in the ground, and the equipment guys are being leaned into. And you're starting to see that change in the order book now. Now, I labor this point largely because, you know, we'd been seen as laggards frankly in the last couple of years. It'd been a U.S. story, a GPU heavy story. But I think for us now we're starting to see a flipping of that and it's like, hold on, these are beneficiaries. And I really think it's 'cause that bow wave has changed in logic. Paul Walsh: And Lee, you talked there in your opening remarks about the extent to which obviously the focus has been predominantly on the U.S. ways to play, which is totally understandable for global investors. And obviously this has been an extraordinary year of ups and downs as it relates to the tech space. What's your sense in terms of what you are getting back from clients? Is the focus shifts may be from some of those U.S. ways to play to Europe? Are you sensing that shift taking place? How are clients interacting with you as it relates to the focus between the opportunities in the U.S. and Asia, frankly, versus Europe? Lee Simpson: Yeah. I mean, Europe's coming more into debate. It's more; people are willing to talk to some of the players. We've got other players in the analog space playing into that as well. But I think for me, if we take a step back and keep this at the global level, there's a huge debate now around what is the size of build out that we need for AI? What is the nature of the compute? What is the power pool? What is the power budgets going to look like in data centers? And Emmet will talk to that as well. So, all of that… Some of that argument's coming now and centering on Europe. How do they play into this? But for me, most of what we're finding people debate about – is a 20-25 gigawatt year feasible for [20]27? Is a 30-35 gigawatt for [20]28 feasible? And so, I think that's the debate line at this point – not so much as Europe in the debate. It's more what is that global pool going to look like? Paul Walsh: Yeah. This whole infrastructure rollout's got significant implications for your coverage universe… Lee Simpson: It does. Yeah. Paul Walsh: Emmet, it may be a bit tangential for the telco space, but was there anything you wanted to add there as it relates to this sort of agentic wave piece from a telco's perspective? Emmet Kelly: Yeah, there's a consensus view out there that telcos are not really that tuned into the AI wave at the moment – just from a stock market perspective. I think it's fair to say some telcos have been a source of funds for AI and we've seen that in a stock market context, especially in the U.S. telco space, versus U.S. tech over the last three to six months, has been a source of funds. So, there are a lot of question marks about the telco exposure to AI. And I think the telcos have kind of struggled to put their case forward about how they can benefit from AI. They talked 18 months ago about using chatbots. They talked about smart networks, et cetera, but they haven't really advanced their case since then. And we don't see telcos involved much in the data center space. And that's understandable because investing in data centers, as we've written, is extremely expensive. So, if I rewind the clock two years ago, a good size data center was 1 megawatt in size. And a year ago, that number was somewhere about 50 to 100 megawatts in size. And today a big data center is a gigawatt. Now if you want to roll out a 100 megawatt data center, which is a decent sized data center, but it's not huge – that will cost roughly 3 billion euros to roll out. So, telcos, they've yet to really prove that they've got much positive exposure to AI. Paul Walsh: That was an edited excerpt from my conversation with Adam, Emmet and Lee. Many thanks to them for taking the time out for that discussion and the live audience for hearing us out.We will have a concluding episode tomorrow where we dig into tech disruption and data center investments. So please do come back for that very topical conversation. As always, thanks for listening. Let us know what you think about this and other episodes by leaving us a review wherever you get your podcasts. And if you enjoy Thoughts on the Market, please tell a friend or colleague to tune in today.

Gonka is a decentralized network for high-efficiency AI compute, designed to maximize the use of global GPU power for meaningful AI workloads. By eliminating centralized gatekeepers, Gonka provides builders and researchers with permissionless access to compute resources, while rewarding participants through its native token, GNK.David and Daniil Liberman are Los Angeles-based futurists, serial entrepreneurs, investors, ex-Snap directors of Product, founders of ProductScience.ai and Humanism Co. by Libermans Co., as well as the creators of the Gonka protocol. David recently joined the Bitcoin.com News Podcast to talk about the technology.Inspired by Bitcoin's ability to build massive, decentralized infrastructure, Gonka aims to unite GPU owners globally to create a transformer-based Proof-of-Work (PoW) network for AI compute. Liberman discusses the inefficiencies of centralized cloud models for GPUs and the critical shift towards specialized hardware like ASICs, drawing parallels to Bitcoin mining's evolution.Liberman explains Gonka's focus on inference over training and how a PoW-based network aligns incentives with hardware providers, fostering greater infrastructure growth compared to Proof-of-Stake networks. He also addresses the current AI market valuations, suggesting that while AI's long-term impact will be immense, some company valuations might be in a bubble, similar to the dot-com era. The conversation highlights the importance of tokenomics that prioritize hardware providers and innovators to accelerate hardware efficiency.Finally, the podcast explores the broader implications of decentralized AI for global competition and individual autonomy. Liberman argues that distributed compute systems are essential for smaller countries and startups to compete against centralized national players. He emphasizes that a PoW-based network prevents artificial inflation of value by linking coin value to the real cost of compute, leading to a healthier ecosystem. The episode concludes with a discussion on the future of AI and work, stressing the need for billions of independent, decentralized AIs to prevent wealth and power concentration and ensure a future of abundance.About Our GuestDavid and Daniil began their entrepreneurial path with their siblings, co-founding ventures across computer graphics, finance, and AI. They founded Frank Money, pioneering radical financial transparency, and later launched Kernel AR, which was acquired by Snap the same year. David and Daniil and their siblings signed the Founders Pledge, channeling their economic output into Libermans Co., now valued at $ 400 million, and attracted investments from Marc Andreessen, Josh Kushner, and Arielle Zuckerberg.To learn more about the protocol visit Gonka.AI, and follow the team on X.

Welcome back to another episode of Upside at the EUVC Podcast, where ⁠Dan Bowyer⁠,⁠ Mads Jensen⁠ of ⁠SuperSeed⁠, ⁠Lomax Ward⁠ of ⁠Outsized Ventures⁠⁠, and this week's guest Jone Vaituleviciute, Managing Partner at ⁠Firstpick⁠ VC, unpack the forces shaping venture across Europe and the Baltics.This week's conversation bridges Lithuania's booming early-stage scene and Europe's macro tensions — from defense investments and bootstrapping culture to Matt Clifford's call for “permissionless growth,” the rise of quant capital, and how Europe's AI reality is evolving fast.

Learn more about Advance Course (Master the Art of End-to-End AI Automation): https://multiplai.ai/advance-course/ Learn more about AI Business Transformation Course: https://multiplai.ai/ai-course/ Is your company's next hire… an AI agent?This week, Federal Reserve Chair Jerome Powell quietly sounded the alarm: job creation is stalling—and AI is likely behind it. Meanwhile, OpenAI is writing trillion-dollar checks its revenue can't yet cash, and Apple's Siri might finally be getting a real brain… courtesy of Google.If you're a business leader navigating 2026 and beyond, this is the episode you can't afford to miss.From massive layoffs masked as "rebalancing" to the quiet data wars fueling generative models, this episode maps the uncomfortable truths—and powerful opportunities—every executive should be tracking.

This week on Autonomy Markets, Grayson Brulte and Walter Piecyk discuss Waymo's expansion into three new markets, Uber's role in autonomy and Lyft's growing infrastructure ambitions. Beneath the headlines, Tesla is aiming to once again reshape the entire autonomous driving industry with their AI5 chip, FSD Unsupervised deployment, and the expansion of their insurance business. As Tesla continues to focus on what's next, Uber is sending mixed messages to the market while engineers across Silicon Valley begin exploring alternatives to Nvidia's GPUs. Wrapping up the conversation, Grayson and Walt discuss what happens when the world's largest autonomy players diverge on strategy and long-standing partnerships begin to falter.Episode Chapters0:00 Waymo's Three City Expansion 2:11 Waymo & Uber's Relationship 4:21 Managing Robotaxi Fleets14:56 Robotaxis at Airports 16:40 Uber's Autonomy Messaging Strategy 23:12 NVIDIA and the Growing Demand for new Chips25:45 Applied Intuition 28:19 Tesla37:14 Foreign Autonomy Desk40:02 Next WeekRecorded on Friday, November 7, 2025--------About The Road to AutonomyThe Road to Autonomy provides market intelligence and strategic advisory services to institutional investors and companies, delivering insights needed to stay ahead of emerging trends in the autonomy economy™. To learn more, say hello (at) roadtoautonomy.com.Sign up for This Week in The Autonomy Economy newsletter: https://www.roadtoautonomy.com/ae/See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Flush de la semana con lo mejor en noticias que se dieron en la semanadéjame tu comentario Redes Sociales Oficiales:► https://linktr.ee/DrakSpartanOficialCualquier cosa o situación contactar a Diego Walker:diegowalkercontacto@gmail.comFecha Del Video[07-11-2025]#flush #china #amd #usa #drakspartan #tsmc #microsoft #ia

Tony: -Most satisfying weapon in video gaming (discussion): https://www.pcgamer.com/games/fps/legendary-fps-maker-john-romero-delivers-the-objectively-correct-answer-when-voting-for-the-most-satisfying-weapon-in-gaming-history-i-strongly-agree-mr-romero/ -Asus SFF gaming computer: https://press.asus.com/news/press-releases/rog-gr70-gaming-mini-pc/ -Soulja Boy Strikes again: https://www.gamesradar.com/hardware/soulja-boy-is-selling-video-game-consoles-again-and-hes-already-being-accused-of-ripping-off-an-existing-handheld-he-does-not-have-permission-to-rebrand-our-products-and-sell-them-as-his-own/ -AMD gets confusing with old GPUs: https://arstechnica.com/gadgets/2025/11/amd-says-that-its-not-pulling-driver-support-for-older-radeon-gpus-afterall/ Jarron: -Thief VR coming in December! ​​https://www.engadget.com/gaming/thiefs-vr-revival-arrives-in-december-181506849.html?src=rss -Steam Deck FINALLY getting ability to download with screen off: https://www.engadget.com/steam-deck-adds-a-standby-mode-for-screen-off-downloads-230334579.html?src=rss Owen: -Safety isn't good for business. https://outrungaming.com/roblox-stock-slides-after-q3-report-suggests-increased-safety-investments/ -Obvious vindication. https://www.youtube.com/watch?v=0OMP8JvGWNY -A new commodore64 experience! https://www.engadget.com/gaming/relive-the-commodore-64s-glory-days-with-a-slimmer-blacked-out-remake-181259874.html -God of War was going to have a multiplayer game?  https://mp1st.com/news/report-first-look-at-cancelled-god-of-war-multiplayer-game-unveiled Lando: BRINGING THE ENERGY!

** AWS re:Invent 2025 Dec 1-5, Las Vegas - Register Here! **Learn how Anyscale's Ray platform enables companies like Instacart to supercharge their model training while Amazon saves heavily by shifting to Ray's multimodal capabilities.Topics Include:Ray originated at UC Berkeley when PhD students spent more time building clusters than ML modelsAnyscale now launches 1 million clusters monthly with contributions from OpenAI, Uber, Google, CoinbaseInstacart achieved 10-100x increase in model training data using Ray's scaling capabilitiesML evolved from single-node Pandas/NumPy to distributed Spark, now Ray for multimodal dataRay Core transforms simple Python functions into distributed tasks across massive compute clustersHigher-level Ray libraries simplify data processing, model training, hyperparameter tuning, and model servingAnyscale platform adds production features: auto-restart, logging, observability, and zone-aware schedulingUnlike Spark's CPU-only approach, Ray handles both CPUs and GPUs for multimodal workloadsRay enables LLM post-training and fine-tuning using reinforcement learning on enterprise dataMulti-agent systems can scale automatically with Ray Serve handling thousands of requests per secondAnyscale leverages AWS infrastructure while keeping customer data within their own VPCsRay supports EC2, EKS, and HyperPod with features like fractional GPU usage and auto-scalingParticipants:Sharath Cholleti – Member of Technical Staff, AnyscaleSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Register for Founder University Japan's kickoff! https://luma.com/cm0x90mkToday's show:*On TWiST, Jason welcomes an all-star VC panel — Deedy Das of Menlo Partners and Jay Eum of GFT Ventures — for a deep dive into the shocking scale of early-stage AI raises, a transitional moment for investors, the growing importance of the “prosumer” market, ChatGPT's insane smile curves, and much much more.IN THIS EPISODEWhat the panelists make of Roelof Botha's exit from Sequoia… and is he really going anywhere…Why Jason says VC is no longer the best way to get rich…Why so many private companies are growing SO HUGE before going public…And much more!Timestamps:(00:03:37) Jason is fresh from surviving Riyadh traffic but he's here and introducing our all star panel(00:04:03) Why Jason compares Riyadh to Silicon Valley in the 1960s(00:05:21) Friend of the Pod Roelof Botha is stepping down at Sequoia… our insiders try to guess what might have happened…(10:00) Crusoe - Crusoe is the AI factory company. Reliable infrastructure and expert support. Visit crusoe.ai/startup to reserve your capacity for the latest GPUs today.(00:13:11) Deedy moved up at Menlo without being a venture native… he shares the secrets behind his rise.(00:19:09) Was Roelof wrong about “return-free risk”? Does more capital always = more great companies?(20:00) Northwest Registered Agent - Form your entire business identity in just 10 clicks and 10 minutes. Get more privacy, more options, and more done—visit https://www.northwestregisteredagent.com/twist today!(00:26:54) With so many private companies growing SO HUGE… when is the right time to go public? Considering the case of Glean and Stripe…(30:00) AWS Marketplace - If you're ready to really accelerate your sales cycle, AWS Marketplace is your next stop. Head to https://aws.com/startups to learn more.(00:30:07) Why Jason says venture capital is no longer the best way to get rich(00:32:34) Why AI apps are so appealing to enterprises after years of paying for SaaS(00:36:32) The growing importance of “prosumers”(00:37:31) Why Deedy says a smile curve is the most beautiful depiction of “Product Market Fit”(00:44:36) Why it's still tough to raise pre-seed money, even during an AI “boom”!(00:46:08) Why Jason says the hardest job in the tech ecosystem is being an investor(00:55:52) “Time is one of the primary drivers of venture capital return.” - Jay Eun(00:57:42) Deedy on the shocking amounts being raised by early-stage AI companies(01:00:21) Just how much DO VCs work compared to founders? The panel compares notes.(01:02:53) Are some investors not doing diligence? Deedy on the speed of some AI deals.(01:16:51) The panel picks their fav portfolio company of the moment (or one of their faves)Subscribe to the TWiST500 newsletter: https://ticker.thisweekinstartups.comCheck out the TWIST500: https://www.twist500.comFollow Alex:X: https://x.com/alexLinkedIn: ⁠https://www.linkedin.com/in/alexwilhelmFollow Jason:X: https://twitter.com/JasonLinkedIn: https://www.linkedin.com/in/jasoncalacanisThank you to our partners:Crusoe - Crusoe is the AI factory company. Reliable infrastructure and expert support. Visit crusoe.ai/startup to reserve your capacity for the latest GPUs today.Northwest Registered Agent - Form your entire business identity in just 10 clicks and 10 minutes. Get more privacy, more options, and more done—visitAWS Marketplace - If you're ready to really accelerate your sales cycle, AWS Marketplace is your next stop. Head to https://aws.com/startups to learn more.Check out Jason's suite of newsletters: https://substack.com/@calacanisFollow TWiST:Twitter: https://twitter.com/TWiStartupsYouTube: https://www.youtube.com/thisweekinInstagram: https://www.instagram.com/thisweekinstartupsTikTok: https://www.tiktok.com/@thisweekinstartupsSubstack: https://twistartups.substack.comSubscribe to the Founder University Podcast: https://www.youtube.com/@founderuniversity1916

Nvidia just took a $1 billion stake in Nokia—and Nokia plans to spend that money buying Nvidia's own AI chips. It's not the first time. Nvidia's done similar deals with OpenAI, CoreWeave, and xAI, fueling record demand for its GPUs. But is this smart strategy—or circular financing? Some call it vendor financing, others say it's round-tripping—a tactic that helped inflate the dot-com bubble two decades ago. Lance Roberts & Michael Lebowitz unpack how the AI industry may be funding itself, why that's raising eyebrows, and what investors should watch for as the hype builds. 0:19 - Are Tariffs a Tax? 4:03 - Buy-the-Dip'er's Continue their March 8:40 - Michael's Fed re-cap - Stealth QE? 14:08 - Where is All the Liquidity Going? 17:45 - What Will Trigger QE? 19:16 - The Fed's QE Trap 21:13 - Stress in the REPO Market 24:15 - Market Froth & Valuations - the Mag-7 28:57 - Where the Debt is Piling Up in Anticipation of AI Build 33:32 - Nvidia's Infinite Money Loop 37:32 - What If Projections & Expectations Are Not Realized? 42:55 - Looking at CAPE (as Nvidia is 8% of Market) Hosted by RIA Advisors Chief Investment Strategist, Lance Roberts, CIO, w Portfolio Manger, Michael Lebowitz, CFA Produced by Brent Clanton, Executive Producer ------- Watch Today's Full Video on our YouTube Channel: https://www.youtube.com/watch?v=PBMx8sckBhk&list=PLVT8LcWPeAugpcGzM8hHyEP11lE87RYPe&index=1&t=5s ------- Articles Mentioned in Today's Show: "Nvidia Deals: Round Tripping Or Vendor Financing?" https://realinvestmentadvice.com/resources/blog/nvidia-deals-round-tripping-or-vendor-financing/ -------- The latest installment of our new feature, Before the Bell, "Buy-the-Dip Isn't Dead Yet" is here: https://www.youtube.com/watch?v=UU_zCk3hYhs&list=PLwNgo56zE4RAbkqxgdj-8GOvjZTp9_Zlz&index=1 ------- Our Previous Show, "6 Moves You Should Make Now Before RMDs Start," is here: https://www.youtube.com/watch?v=G0B99SnHJ4U&list=PLVT8LcWPeAugpcGzM8hHyEP11lE87RYPe&index=1&t=24s ------- Get more info & commentary: https://realinvestm entadvice.com/newsletter/ -------- SUBSCRIBE to The Real Investment Show here: http://www.youtube.com/c/TheRealInvestmentShow -------- Visit our Site: https://www.realinvestmentadvice.com Contact Us: 1-855-RIA-PLAN -------- Subscribe to SimpleVisor: https://www.simplevisor.com/register-new -------- Connect with us on social: https://twitter.com/RealInvAdvice https://twitter.com/LanceRoberts https://www.facebook.com/RealInvestmentAdvice/ https://www.linkedin.com/in/realinvestmentadvice/ #BuyTheDip #SP500 #MarketBreadth #Investing #PremarketUpdate #Nvidia #ArtificialIntelligence #StockMarket #TechInvesting #FinancialEngineering

Nvidia just took a $1 billion stake in Nokia—and Nokia plans to spend that money buying Nvidia's own AI chips. It's not the first time. Nvidia's done similar deals with OpenAI, CoreWeave, and xAI, fueling record demand for its GPUs. But is this smart strategy—or circular financing? Some call it vendor financing, others say it's round-tripping—a tactic that helped inflate the dot-com bubble two decades ago. Lance Roberts & Michael Lebowitz unpack how the AI industry may be funding itself, why that's raising eyebrows, and what investors should watch for as the hype builds. 0:19 - Are Tariffs a Tax? 4:03 - Buy-the-Dip'er's Continue their March 8:40 - Michael's Fed re-cap - Stealth QE? 14:08 - Where is All the Liquidity Going? 17:45 - What Will Trigger QE? 19:16 - The Fed's QE Trap 21:13 - Stress in the REPO Market 24:15 - Market Froth & Valuations - the Mag-7 28:57 - Where the Debt is Piling Up in Anticipation of AI Build 33:32 - Nvidia's Infinite Money Loop 37:32 - What If Projections & Expectations Are Not Realized? 42:55 - Looking at CAPE (as Nvidia is 8% of Market) Hosted by RIA Advisors Chief Investment Strategist, Lance Roberts, CIO, w Portfolio Manger, Michael Lebowitz, CFA Produced by Brent Clanton, Executive Producer ------- Watch Today's Full Video on our YouTube Channel: https://www.youtube.com/watch?v=PBMx8sckBhk&list=PLVT8LcWPeAugpcGzM8hHyEP11lE87RYPe&index=1&t=5s ------- Articles Mentioned in Today's Show: "Nvidia Deals: Round Tripping Or Vendor Financing?" https://realinvestmentadvice.com/resources/blog/nvidia-deals-round-tripping-or-vendor-financing/ -------- The latest installment of our new feature, Before the Bell, "Buy-the-Dip Isn't Dead Yet" is here: https://www.youtube.com/watch?v=UU_zCk3hYhs&list=PLwNgo56zE4RAbkqxgdj-8GOvjZTp9_Zlz&index=1 ------- Our Previous Show, "6 Moves You Should Make Now Before RMDs Start," is here: https://www.youtube.com/watch?v=G0B99SnHJ4U&list=PLVT8LcWPeAugpcGzM8hHyEP11lE87RYPe&index=1&t=24s ------- Get more info & commentary: https://realinvestm entadvice.com/newsletter/ -------- SUBSCRIBE to The Real Investment Show here: http://www.youtube.com/c/TheRealInvestmentShow -------- Visit our Site: https://www.realinvestmentadvice.com Contact Us: 1-855-RIA-PLAN -------- Subscribe to SimpleVisor: https://www.simplevisor.com/register-new -------- Connect with us on social: https://twitter.com/RealInvAdvice https://twitter.com/LanceRoberts https://www.facebook.com/RealInvestmentAdvice/ https://www.linkedin.com/in/realinvestmentadvice/ #BuyTheDip #SP500 #MarketBreadth #Investing #PremarketUpdate #Nvidia #ArtificialIntelligence #StockMarket #TechInvesting #FinancialEngineering

OpenAI may appear to be building the future, but are they leading the tech industry towards collapse?In this episode, Chris and Yaniv are joined by Jacob Ward (journalist, author of The Loop and NBC Technology Correspondent) to break down OpenAI's latest livestream and what it signals about the next era of AI. Sam Altman may talk the good talk, but his actions, and the priorities of OpenAI at large, may not align with those claims. Chris, Yaniv, and Jacob unpack these differences between words and actions, the emerging social consequences, and what it all means for the tech industry.In this episode, you will:Understand OpenAI's roadmap for AI-powered research and why "AI research interns" might be closer than you thinkLearn why the promise of autonomous five-year research cycles raised eyebrowsExplore the shift from ChatGPT as a product to ChatGPT as a platform, and what that means for app ecosystemsConsider the emotional and psychological dimensions of AI companionship and relianceEvaluate the trillion-dollar infrastructure buildup underway across data centers, GPUs, and nuclear-scale power demandsExamine how OpenAI's nonprofit arm plans to invest in disease research and AI resilienceThe Pact Honor the Startup Podcast Pact! If you have listened to TSP and gotten value from it, please:Follow, rate, and review us in your listening appSubscribe to the TSP Mailing List to gain access to exclusive newsletter-only content and early access to information on upcoming episodes: https://thestartuppodcast.beehiiv.com/subscribe Secure your official TSP merchandise at https://shop.tsp.show/  Follow us here on YouTube for full-video episodes: https://www.youtube.com/channel/UCNjm1MTdjysRRV07fSf0yGg Give us a public shout-out on LinkedIn or anywhere you have a social media followingKey linksGet your question in for our next Q&A episode: https://forms.gle/NZzgNWVLiFmwvFA2A The Startup Podcast website: https://www.tsp.show/episodes/Learn more about Chris and YanivWork 1:1 with Chris: http://chrissaad.com/advisory/  Follow Chris on Linkedin: https://www.linkedin.com/in/chrissaad/  Follow Yaniv on Linkedin: https://www.linkedin.com/in/ybernstein/Producer: Justin McArthur https://www.linkedin.com/in/justin-mcarthurIntro Voice: Jeremiah Owyang https://web-strategist.com/

Supreme Court Ruling on tariffs within weeks.... Say goodbye to the penny! November heading for a potential fall. Splits - Are they back? PLUS we are now on Spotify and Amazon Music/Podcasts! Click HERE for Show Notes and Links DHUnplugged is now streaming live - with listener chat. Click on link on the right sidebar. Love the Show? Then how about a Donation? Follow John C. Dvorak on Twitter Follow Andrew Horowitz on Twitter NEED A NEW CTP - How About a Crypto ETF? (IBIT) INTERACTIVE BROKERS Warm-Up - Supreme Court Ruling on tariffs within weeks.... - Say goodbye to the penny - November heading for a potential fall - Prediction - When will US Government Reopen - New Term - AI Washing Markets - OpenAI - even more deals - Palatir Earnings - Serepta FLOP -AMAZON BLOWOUT - Splits - Are they back? Election Day - Updates? The SAME Stories are making their way around - Seasonally good time for equities - Don't fight the Fed - Earnings trend - Buybacks again Under/Over on When US Government Opens - November 10th - Under/Over? November Outlook - On the heels of a good October... - Question: How much more is in the tank for blowouts? Earnings season is about over and what are other catalysts - Aside from Santa? - More NVDA excitement? More OpenAi deals??? - So much good news is priced in it is hard to imagine HUGE upside AI Washing - AI washing is a deceptive marketing tactic where companies exaggerate or falsely claim to use artificial intelligence in their products to appear more innovative and advanced. - It is also used when layoffs occur to say that there is less need for employees due to advances in technology. - Corporate giants Amazon, UPS and Target each announced layoffs in recent weeks totaling more than 60,000 jobs cut this year. Amazon - Great earnings - stock up HUGE to ATH ater the report - Amazon beats by $0.38, beats on revs; guides Q4 revs in-line - Reports Q3 (Sep) GAAP earnings of $1.95 per share, $0.38 better than the FactSet Consensus of $1.57; revenues rose 13.4% year/year to $180.17 bln vs the $177.91 bln FactSet Consensus. - Co reports Q3 operating income, excluding items, of $21.7 bln vs prior guidance of $15.5-20.5 bln. - North America segment sales increased 11.2% yr/yr to $106.27 bln. - International segment sales increased 14.0% yr/yr (+10% CC) to $40.90 bln. - AWS segment sales rose 20% yr/yr (+20% CC) to $33.01 bln. - Advertising Services rose 24% yr/yr (+22% CC) to $17.70 bln. - Co issues in-line guidance for Q4, sees Q4 revs of $206-213 bln vs. $208.41 bln FactSet Consensus. Co guides to Q4 operating income of $21-26 bln. OpenAi and Amazon - OpenAI has signed a $38 billion deal with Amazon Web Services, and will immediately start accessing Nvidia's graphics processing units. - This is one of OpenAI's biggest moves away from Microsoft, which was the company's exclusive cloud provider until earlier this year. - The partnership gives OpenAI the flexibility to scale infrastructure through 2026 and beyond. - Under the agreement announced on Monday, OpenAI will immediately begin running workloads on AWS infrastructure, tapping hundreds of thousands of Nvidia's graphics processing units (GPUs) in the U.S., with plans to expand capacity in the coming years. - Amazon up another 5% Palantir Earnings - Palantir Technologies prelim Q3 $0.21 vs $0.17 FactSet Consensus; revs $1.18 bln vs $1.09 bln FactSet Consensus - Palantir Technologies sees Q4 revs $1.327-1.331 bln vs $1.18 bln FactSet Consensus - Stock up slightly - been on a rager lately.... ATH - Stock down 8% on Tuesday - most of the good news is priced in? AMD Earnings - Advanced Micro Devices beats by $0.03, beats on revs; guides Q4 revs above consensus (250.05 -9.60) - Reports Q3 (Sep) earnings of $1.20 per share, $0.03 better than the FactSet Consensus of $1.17; revenues rose 35.6% year/year to $9.25 bln vs the $8.

Nvidia's valuation continues to climb past all expectations. The company's GPUs are in everything from supercomputers to smartphones. The world runs on Nvidia's silicon.Get the top 40+ AI Models for $20 at AI Box: ⁠⁠https://aibox.aiAI Chat YouTube Channel: https://www.youtube.com/@JaedenSchaferJoin my AI Hustle Community: https://www.skool.com/aihustle

The $5 trillion milestone signals the dawn of a new technological epoch. Nvidia's GPUs have replaced CPUs as the foundation of the future. Everything about computing is being rewritten.Get the top 40+ AI Models for $20 at AI Box: ⁠⁠https://aibox.aiAI Chat YouTube Channel: https://www.youtube.com/@JaedenSchaferJoin my AI Hustle Community: https://www.skool.com/aihustle

Welcome to episode 329 of The Cloud Pod, where the forecast is always cloudy! Matt, Jonathan, and special guest Elise are in the studio to bring you all the latest in AI and cloud news, including – you guessed it – more outages, and more OpenAI team-ups. We've also got GPUs, K8 news, and Cursor updates. Let's get started!  Titles we almost went with this week Azure Front Door: Please Use the Side Entrance – el -jb Azure and NVIDIA: A Match Made in GPU Heaven – mk Azure Goes Down Under the Weight of Its Own Configuration – el GitHub Turns Your Copilot Subscription Into an All-You-Can-Eat Agent Buffet – mk, el Microsoft Goes Full Blackwell: No Regrets, Just GPUs Jules Verne Would Be Proud: Google’s CLI Goes 20,000 Bugs Under the Codebase RAG to Riches: AWS Makes Retrieval Augmented Generation Turnkey Kubectl Gets a Gemini Twin: Google Teaches AI to Speak Kubernetes I’m Not a Robot: Azure WAF Finally Learns to Ask the Important Questions OpenAI Puts 38 Billion Eggs in Amazon’s Basket: Multi-Cloud Gets Complicated The Root Cause They’ll Never Root Out: Why Attrition Stays Off the RCA Google’s New Extension Lets You Deploy Kubernetes by Just Asking Nicely Cursor 2.0: Now With More Agents Than a Hollywood Talent Agency Follow Up  04:46 Massive Azure outage is over, but problems linger – here’s what happened | ZDNET  Azure experienced a global outage on October 29, affecting all regions simultaneously, unlike the recent AWS outage that was limited to a single region.  The incident lasted approximately eight hours from noon to 8 PM ET, impacting major services including Microsoft 365, Teams, Xbox Live, and critical infrastructure for Alaska Airlines, Vodafone UK, and Heathrow Airport, among others. The root cause was an inadvertent tenant configuration change in Azure Front Door that bypassed safety validations due to a software defect. Microsoft’s protection mechanisms failed to catch the erroneous deployment, allowing invalid configurations to propagate across the global fleet and cause HTTP timeouts, server errors, and elevated packet loss at network edges. Recovery required rolling back to the last known good configuration and gradually rebalancing traffic across nodes to prevent overload conditions.  Some customers experienced lingering issues even after the official recovery time, with Microsoft temporarily blocking configuration changes to Azure Front D

Hashtag Trending would like to thank Meter for their support in bringing you this podcast. Meter delivers a complete networking stack, wired, wireless and cellular in one integrated solution that's built for performance and scale. You can find them at Meter.com/htt In this episode of Hashtag Trending, host Jim Love dives into substantial topics such as Microsoft's AI bottleneck, which surprisingly turns out to be a shortage of electricity rather than GPUs. The episode further discusses the intense competition Nvidia faces from Qualcomm, AMD, Google, and Amazon in the AI chip market, and a new prompting technique called 'Verbalized Sampling' that could improve AI's usefulness by generating multiple answers with probability estimates. Additionally, the episode touches on intriguing research from Anthropic, revealing that their Claude AI model shows signs of recognizing changes in its internal state, a phenomenon that raises questions about the future capabilities and safety of AI. 00:00 Introduction and Sponsor Message 00:53 Microsoft's AI Bottleneck: Power and Space 02:21 The AI Chip War: New Competitors Emerge 04:49 Verbalized Sampling: A New AI Prompting Technique 06:16 Anthropic's Claude: Signs of Self-Awareness? 10:21 Conclusion and Final Thoughts

Send us a textImagine if your computer could explore a landscape of possibilities all at once, using the same rules that make electrons behave in surprising ways. That's the mental pivot Farai, a quantum physicist and teacher, helps us make as we break down what quantum computing really is and where it actually wins. We trade hype for clarity, showing how superposition, entanglement, and interference become practical tools when classical methods hit walls.We walk through the real stakes: modeling complex materials to build safer batteries and corrosion-resistant coatings, accelerating drug discovery by simulating chemistry where properties emerge, and tackling massive optimization problems that govern airport gates, delivery routes, and supply chains. Farai explains why quantum machines are not replacements for CPUs or GPUs but new teammates in a hybrid stack, each part doing what it does best. The goal is targeted advantage, not universal speedups, and the payoff arrives when the search space explodes beyond classical reach.Along the way, we zoom out to nature as our design mentor. Bacteria that fix nitrogen more efficiently than factories, plants that capture sunlight better than our best solar cells, human brains that run powerful cognition on twenty watts—these examples aren't trivia; they are roadmaps for engineering. By learning from natural intelligence and combining it with quantum algorithms, we can cut energy waste, shorten R&D cycles, and unlock better outcomes across industry and public services. Farai also shares his work leading the Africa Quantum Consortium, proving that the next wave of innovation is global, collaborative, and grounded in education.If you care about the future of computing, climate tech, logistics, and medicine, this conversation will sharpen your lens. Listen, subscribe, and share with someone who still thinks quantum is just sci‑fi. Then tell us: which real-world problem would you optimize first?Thanks for tuning in to this episode of Follow The Brand! We hope you enjoyed learning about the latest trends and strategies in Personal Branding, Business and Career Development, Financial Empowerment, Technology Innovation, and Executive Presence. To keep up with the latest insights and updates, visit 5starbdm.com. And don't miss Grant McGaugh's new book, First Light — a powerful guide to igniting your purpose and building a BRAVE brand that stands out in a changing world. - https://5starbdm.com/brave-masterclass/ See you next time on Follow The Brand!

Microsoft Reporter Aaron Holmes talks with TITV Host Akash Pasricha about the $38 billion AWS-OpenAI compute deal and the practical challenges of deploying AI agents in the enterprise. We also talk with StarCloud Co-Founder & CEO Philip Johnston about launching an NVIDIA H100 GPU into space, its core cooling technology, and their business model. Then, Google Cloud VP Oliver Parker discusses their AI go-to-market strategy, the TPU platform, and their strong earnings results, and we get into the enterprise AI adoption hurdles and ServiceNow's heterogeneous chip stack with Vice Chairman Nick Tzitzon. Finally, Tubi CEO Anjali Sud explains how the free, ad-supported streaming service reached profitability and their 'Free Forever' philosophy.Articles discussed on this episode:https://www.theinformation.com/briefings/openai-aws-sign-38-billion-cloud-dealhttps://www.theinformation.com/articles/anthropic-aws-give-customers-ai-agents-helping-handTITV airs on YouTube, X and LinkedIn at 10AM PT / 1PM ET. Or check us out wherever you get your podcasts.Subscribe to: - The Information on YouTube: https://www.youtube.com/@theinformation4080/?sub_confirmation=1- The Information: https://www.theinformation.com/subscribe_hSign up for the AI Agenda newsletter: https://www.theinformation.com/features/ai-agenda

All indications point to TSMC's N2 process node being a beautiful one. TSMC recently discussed their 2nm process node at IEDM 2024, calling it the "world's most advanced logic technology". N2's headlining feature is of course the Gate-All-Around transistor. Its first major transistor transition in nearly 15 years. But there is another new technology being inserted into the node: The Curvilinear mask, or masks with curved lines. TSMC's first node with curvy masks. Curves. Big whoop, right? It matters because these masks unlock the power of GPUs for semiconductor manufacturing. In this video, TSMC's curvy masks for its 2nm node.

All indications point to TSMC's N2 process node being a beautiful one. TSMC recently discussed their 2nm process node at IEDM 2024, calling it the "world's most advanced logic technology". N2's headlining feature is of course the Gate-All-Around transistor. Its first major transistor transition in nearly 15 years. But there is another new technology being inserted into the node: The Curvilinear mask, or masks with curved lines. TSMC's first node with curvy masks. Curves. Big whoop, right? It matters because these masks unlock the power of GPUs for semiconductor manufacturing. In this video, TSMC's curvy masks for its 2nm node.

This week on Autonomy Markets, Grayson Brulte and Walter Piecyk discuss NVIDIA's ever expanding autonomy ambitions and the fracturing relationship between Waymo and Uber, which may signal the end of one of the industry's most-watched partnerships. Jensen Huang's latest GTC announcements further signaled that NVIDIA is moving beyond supplying compute to potentially building their own full autonomy stack and licensing it. Grayson and Walt trace this shift back to the early days NVIDIA's automotive division and the evolution of its Hyperion platform, which is now positioned not only to power OEMs but also to compete directly with the very companies that rely on its GPUs to enable autonomous driving systems.While NVIDIA appears poised to compete with its customers, Waymo and Uber's partnership is showing signs of unraveling after Uber announced plans to deploy Lucid/Nuro autonomous vehicles in San Francisco next year, directly challenging Waymo on in their home market.Grayson likens the move to “divorce court,” raising questions about how the companies will divide the Austin and Atlanta markets, where Waymo currently operates exclusively on Uber's platform. The episode closes with updates on Aurora's strategic pivot and the Foreign Autonomy Desk, covering Baidu's expansion in Hong Kong, Uber's European ambitions, and continued progress in Tesla's FSD rollout.Episode Chapters0:00 NVIDIA's Autonomy Ambitions 7:13 Waymo & Uber's Fracturing Relationship9:35 Nuro's Upcoming Launch on Uber in San Francisco 11:51 Gemini is Coming to Waymo14:05 Boston's Autonomous Vehicle Blunder15:43 Seattle's Challenging Political Environment 17:34 Political Coalitions 19:36 Aurora's Pivot25:32 Tesla Robotaxi / FSD 14 Updates30:04 Foreign Autonomy Desk33:08 Next WeekRecorded on Thursday, October 30, 2025--------About The Road to AutonomyThe Road to Autonomy provides market intelligence and strategic advisory services to institutional investors and companies, delivering insights needed to stay ahead of emerging trends in the autonomy economy™. To learn more, say hello (at) roadtoautonomy.com.Sign up for This Week in The Autonomy Economy newsletter: https://www.roadtoautonomy.com/ae/See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Trump and Xi finally sat down for the first in-person meeting of this new administration, and I won't lie — there was a lot of hype going into this one. There were whispers about a grand bargain, even murmurs of a complete game-changer announcement. Maybe China would distance itself from Russia. Maybe there'd be some kind of century-defining move on Taiwan. Earlier this week, anything seemed possible.What we got was something a lot less dramatic: a truce. Not a full-blown trade deal. A trade truce. And honestly, I was a little disappointed.Politics Politics Politics is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber.So here's what went down. China made a few big concessions. They agreed to immediately buy 12 million metric tons of U.S. soybeans and promised to keep it going at 25 million tons per year for three years. They also agreed to suspend their new rare earth export controls for a year and curb fentanyl precursor production — a big issue in the U.S. Beyond that, China made a surprise move by signaling interest in American energy and even hinted at joining a natural gas pipeline project in Alaska. That last bit came totally out of nowhere.In return, the United States is lowering tariffs on Chinese goods by 10 percentage points, which still leaves them at a hefty 45 percent. We're also postponing an investigation into Chinese shipping practices, which would have imposed new port taxes. There's a delay on export restrictions for blacklisted Chinese firms for one year. Now, don't get too excited — Trump made clear that China won't be getting its hands on Nvidia's top-shelf Blackwell chips, though some older GPUs will still be allowed to be sold. There was talk about ending Russia's war in Ukraine, but nothing about China stopping its oil purchases from Russia. And most notably, no mention of Taiwan at all.Honestly, when I look at this, I think Trump and Xi were made for each other. Normally, trade deals take forever, get wrapped in ceremony, and then quietly fall apart when China decides not to follow through. U.S. leaders usually just shrug and move on, chalking it all up to classic maneuvers on their part. But Trump doesn't play that game. If he doesn't like a deal, he changes it. If China doesn't hold up their end, he goes right back at them. And I have to say, there's a certain clarity in that approach. It's not exactly stable, but it's a little more to-the-point.I'll admit, I got a little swept up in the pre-meeting hype. I thought maybe we'd see something big, something that could define this administration's approach to foreign policy. But now that I've had time to let it all sink in, here's what I'm left with: this matters. Maybe not as much as I hoped it would, but it still matters. Because the American economy — and by extension, our elections — are tied so closely to what happens with China. If this truce brings even a little stability, it could have ripple effects that shape 2025 and beyond.Chapters00:00:00 - Intro00:02:18 - US-China Deal00:09:39 - Interview with Gabe Fleisher00:31:10 - Update00:31:27 - Shutdown Progress00:33:59 - Jasmine Crockett00:37:02 - Elise Stefanik00:40:13 - Interview with Gabe Fleisher, con't01:08:29 - Wrap-up This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.politicspoliticspolitics.com/subscribe

In this conversation from a16z's Runtime conference, Gavin Baker, Managing Partner and CIO of Atreides Management, joins David George, General Partner at a16z, to unpack the macro view of AI: the trillion-dollar data center buildout, the new economics of GPUs, and what this boom means for investors, founders, and the global economy. Resources:Follow Gavin on X: https://x.com/GavinSBakerFollow Atreides Management on X: https://x.com/atreidesmgmtFollow David on X: https://x.com/DavidGeorge83 Stay Updated: If you enjoyed this episode, be sure to like, subscribe, and share with your friends!Find a16z on X: https://x.com/a16zFind a16z on LinkedIn: https://www.linkedin.com/company/a16zListen to the a16z Podcast on Spotify: https://open.spotify.com/show/5bC65RDvs3oxnLyqqvkUYXListen to the a16z Podcast on Apple Podcasts: https://podcasts.apple.com/us/podcast/a16z-podcast/id842818711Follow our host: https://x.com/eriktorenbergPlease note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Stay Updated:Find a16z on XFind a16z on LinkedInListen to the a16z Podcast on SpotifyListen to the a16z Podcast on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Power is the new bottleneck, reasoning got real, and the business finally caught up. In this wide-ranging conversation, I sit down with Nathan Benaich, Founder and General Partner at Air Street Capital, to discuss the newly published 2025 State of AI report—what's actually working, what's hype, and where the next edge will come from. We start at the physical layer: energy procurement, PPAs, off-grid builds, and why water and grid constraints are turning power—not GPUs—into the decisive moat.From there, we move into capability: reasoning models acting as AI co-scientists in verifiable domains, and the “chain-of-action” shift in robotics that's taking us from polished demos to dependable deployments. Along the way, we examine the market reality—who's making real revenue, how margins actually behave once tokens and inference meet pricing, and what all of this means for builders and investors.We also zoom out to the ecosystem: NVIDIA's position vs. custom silicon, China's split stack, and the rise of sovereign AI (and the “sovereignty washing” that comes with it). The policy and security picture gets a hard look too—regulation's vibe shift, data-rights realpolitik, and what agents and MCP mean for cyber risk and adoption.Nathan closes with where he's placing bets (bio, defense, robotics, voice) and three predictions for the next 12 months. Nathan BenaichBlog - https://www.nathanbenaich.comX/Twitter - https://x.com/nathanbenaichSource: State of AI Report 2025 (9/10/2025)Air Street CapitalWebsite - https://www.airstreet.comX/Twitter - https://x.com/airstreetMatt Turck (Managing Director)Blog - https://www.mattturck.comLinkedIn - https://www.linkedin.com/in/turck/X/Twitter - https://twitter.com/mattturckFIRSTMARKWebsite - https://firstmark.comX/Twitter - https://twitter.com/FirstMarkCap(0:00) – Cold Open: “Gargantuan money, real reasoning”(0:40) – Intro: State of AI 2025 with Nathan Benaich(02:06) – Reasoning got real: from chain-of-thought to verified math wins(04:11) – AI co-scientist: hypotheses, wet-lab validation, fewer “dumb stochastic parrots” (04:44) – Chain-of-action robotics: plan → act you can audit(05:13) – Humanoids vs. warehouse reality: where robots actually stick first(06:32) – The business caught up: who's making real revenue now(08:26) – Adoption & spend: Ramp stats, retention, and the shadow-AI gap(11:00) – Margins debate: tokens, pricing, and the thin-wrapper trap(14:02) – Bubble or boom? Wall Street vs. SF vibes (and circular deals)(19:54) – Power is the bottleneck: $50B/GW capex and the new moat(21:02) – PPAs, gas turbines, and off-grid builds: the procurement game(23:54) – Water, grids, and NIMBY: sustainability gets political(25:08) – NVIDIA's moat: 90% of papers, Broadcom/AMD, and custom silicon(28:47) – China split-stack: Huawei, Cambricon, and export zigzags(30:30) – Sovereign AI or “sovereignty washing”? Open source as leverage(40:40) – Regulation & safety: from Bletchley to “AI Action”—the vibe shift(44:06) – Safety budgets vs. lab spend; models that game evals(44:46) – Data rights realpolitik: $1.5B signals the new training cost(47:04) – Cyber risk in the agent era: MCP, malware LMs, state actors(50:19) – Agents that convert: search → commerce and the demo flywheel(54:18) – VC lens: where Nathan is investing (bio, defense, robotics, voice)(68:29) – Predictions: power politics, AI neutrality, end-to-end discoveries(1:02:13) – Wrap: what to watch next & where to find the report (stateof.ai)

Ryan Carson (ex-Treehouse, Intel; now Builder-in-Residence at Sourcegraph's AMP) shares his origin story and a practical playbook for shipping software with AI agents. We cover why “tokens aren't cheap,” how AMP made pro-level coding free via developer ads, a concrete workflow (PRD → atomic dev tasks → agent execution with self-tests), and why managers should spend time as ICs “managing AI.” We close with advice for raising AI-native kids and a perspective on this moment in tech (think integrated circuit–level shift).Timestamps00:00 – The beginning of intelligence: how LLMs changed Ryan's view of computing00:23 – Apple IIe → Turbo Pascal → Computer Science: the maker bug bites03:20 – DropSend: early SaaS, Dropbox name clash, first acquisition04:30 – Treehouse: teaching coding without a CS degree; $20M raised, acquired in 202105:02 – The “bigger than a computer” moment: discovering LLMs06:15 – Joining Intel: learning GPUs and the scale of silicon (“my adult internship”)07:09 – Building an AI divorce assistant → joining AMP as Builder-in-Residence09:38 – AMP vs ChatGPT/Claude/Cursor: agentic coding with contextual developer ads11:09 – Token economics: why AI isn't really cheap17:27 – Frontier vs Flash models (Sonnet 4.5 vs Gemini 2.5) — how costs scale21:31 – Private startup: vertical AI for specialized domains22:36 – The new wave of small, vertical AI businesses23:01 – Live demo: building a news app end-to-end with AMP28:18 – How to plan like a pro: write the PRD before you build30:02 – “Outsource the work, not your thinking.”32:28 – Turning PRDs into atomic tasks (1.0, 1.1…)35:50 – Competing in an AI world = planning well36:28 – Managers should schedule IC time to “manage AI”37:14 – Designing feedback loops so agents can test themselves39:47 – “AI lied to me”: why verifiable tests matter41:11 – Raising AI-native kids: build trust, context, and agency43:59 – “We're living in the integrated circuit moment of intelligence.”Tools & Technologies MentionedAMP (Sourcegraph) – Agentic coding tool/IDE copilot that plans, edits, and ships code. Now offers a high-end, ad-supported free tier; ads are contextual for developers and don't influence code outputs.Sourcegraph (Code Search) – Parent company; enterprise code intelligence/search.ChatGPT / Claude – General-purpose LLM assistants commonly used alongside coding agents.Cursor / Windsurf – AI-first code editors that integrate LLMs for completion and refactors.Bolt / Lovable – Text-to-app builders for rapid prototyping from prompts.WhisperFlow / SuperWhisper – Voice-to-text tools for fast prompting and dictation.Anthropic Sonnet 4.5 – Frontier-grade reasoning/coding model; powerful but pricier per token.Google Gemini 2.5 Flash – Fast, lower-cost model; “good enough” for many workloads.Auth0 (example) – Authentication-as-a-service mentioned as a contextual ad use case.GPUs / TPUs – Compute for training/inference; token cost drivers behind AI pricing.PRD + Atomic Tasks Workflow – Ryan's method: record spec → generate PRD → expand to dot-notated tasks → let the agent implement.Self-testing Scripts – Ask agents to generate runnable tests/health checks and loop until passing to reduce back-and-forth and prevent “it passed” hallucinations.Family ChatGPT Accounts – Tip for raising AI-native kids; teach sourcing, context, and trust calibration.Subscribe at⁠ thisnewway.com⁠ to get the step-by-step playbooks, tools, and workflows.

Today's show:Jason's been skeptical on Apple lately, but he's BLOWN AWAY by his new iPhone Air.Hear why JCal thinks Cupertino's latest release is “completely inspiring,” and why he's sure it's the next step on the road to Apple Glasses.We're chatting with LAUNCH founder Zach Handshoe of spacial video startup SpatialGen about designing products for Cupertino AND the intense pressure of performing a Steve Jobs-level keynote.PLUS Raiza Martin of Huxe stops by to tell us why they're using audio to make AI assistants more personalized AND proactive, and how they're already getting noticed in an increasingly crowded App Store.AND we've got another Gamma Pitch Competition entrant! Chess Grandmaster Vasif Durarbayli presents his expert-focused app, ChessEver.Timestamps:(2:05) Friend of the pod @ZacharyHandshoe stops by to talk about supporting Apple Immersive Video (and staying up during the AWS outage)(9:37) Enterpret - Turn feedback noise into Customer Intelligence, so your team knows exactly what to fix and build next. Head to Enterpret.com/twist to book a demo and see it in action.(15:55) The iPhone Air can already shoot spatial video! Just part of why Jason calls it a “completely inspiring” product.(21:25) Crusoe Cloud - Crusoe is the AI factory company. Reliable infrastructure and expert support. Visit crusoe.ai/startup to reserve your capacity for the latest GPUs today.(24:30) Jason offers viewers a peek inside LAUNCH's Whisper Network(32:09) Lemon.io - Get 15% off your first 4 weeks of developer time at https://Lemon.io/twist(33:10) Huxe co-founder (and NotebookLM vet) Raiza Martin wants to make your AI assistant more personalized and proactive.(37:14) Why Raiza and her team went with an audio-forward interface instead of a chatbot.(43:25) How Huxe is getting noticed in the App Store as a brand new arrival.(50:25) The big LLMs still aren't great at writing engaging content for humans, so Huxe is doing it themselves.(52:41) Chess Grandmaster Vasif Durarbayli from ChessEver joins us for his Gamma pitch!(54:26) Why Vasif is focusing on very serious players FIRST before appealing to more casual chess fans(1:05:28) Jason thinks ChessEver is at the moment of “triangulation” in their journey to finding Product Market Fit… what do Grandmasters really want?Subscribe to the TWiST500 newsletter: https://ticker.thisweekinstartups.comCheck out the TWIST500: https://www.twist500.comSubscribe to This Week in Startups on Apple: https://rb.gy/v19fcpFollow Lon:X: https://x.com/lonsFollow Alex:X: https://x.com/alexLinkedIn: ⁠https://www.linkedin.com/in/alexwilhelmFollow Jason:X: https://twitter.com/JasonLinkedIn: https://www.linkedin.com/in/jasoncalacanisThank you to our partners:Enterpret - Turn feedback noise into Customer Intelligence, so your team knows exactly what to fix and build next. Head to Enterpret.com/twist to book a demo and see it in action.Crusoe Cloud - Crusoe is the AI factory company. Reliable infrastructure and expert support. Visit crusoe.ai/startup to reserve your capacity for the latest GPUs today.Lemon.io - Get 15% off your first 4 weeks of developer time at https://Lemon.io/twistGreat TWIST interviews: Will Guidara, Eoghan McCabe, Steve Huffman, Brian Chesky, Bob Moesta, Aaron Levie, Sophia Amoruso, Reid Hoffman, Frank Slootman, Billy McFarlandCheck out Jason's suite of newsletters: https://substack.com/@calacanisFollow TWiST:Twitter: https://twitter.com/TWiStartupsYouTube: https://www.youtube.com/thisweekinInstagram: https://www.instagram.com/thisweekinstartupsTikTok: https://www.tiktok.com/@thisweekinstartupsSubstack: https://twistartups.substack.comSubscribe to the Founder University Podcast: https://www.youtube.com/@founderuniversity1916

This week on If/Then, we're sharing an episode of What's Your Problem?, a show from Pushkin Industries where entrepreneurs, engineers, and scientists talk about the future they're trying to build—and the problems they must solve to get there. Hosted by former Planet Money co-host Jacob Goldstein, each conversation explores the challenges and breakthroughs shaping the next wave of innovation.In this episode, Goldstein speaks with Fei-Fei Li, Stanford computer scientist, former Chief Scientist of AI and Machine Learning at Google, and one of the most influential figures in the field of computer vision. Li reflects on her pioneering work developing ImageNet, the massive dataset that helped spark the modern AI revolution, and the “north star” questions that have guided her research from neuroscience to machine learning.Together, they trace how a single insight about how humans see the world led to a paradigm shift in artificial intelligence—and how Li's vision continues to shape the way we teach machines to see, learn, and collaborate with us.More Resources: • Fei Fei Li • Stanford Institute for Human-Centered Artificial Intelligence (HAI) • ImageNet • What's Your Problem?If/Then is a podcast from Stanford Graduate School of Business that examines research findings that can help us navigate the complex issues we face in business, leadership, and society.Chapters: (00:00:00) Introducing “What's Your Problem?” Kevin Cool introduces the Pushkin Industries podcast hosted by Jacob Goldstein.00:00:45 — What Is Computer Vision? Jacob Goldstein and Fei-Fei Li explain how machines learn to see and interpret images.00:03:18 — Real-World Uses of AI Vision Li shares examples from healthcare, robotics, and environmental science.00:05:06 — Discovering the Science of SeeingHow human vision research inspired Li's lifelong “north star” in AI.00:09:56 — Creating ImageNet Li builds a massive image database that transforms computer vision research.00:13:29 — Defining 30,000 Visual Concepts How cognitive science helped shape ImageNet's massive scale.00:16:41 — Building the Dataset by HandLi's team uses global crowdsourcing to label millions of images.00:19:38 — The 2012 Breakthrough Jeff Hinton's neural network shatters records and sparks the deep learning era.00:22:19 — Data Meets Hardware Li reflects on how big data and GPUs converged to power modern AI.00:24:55 — Lightning Round with Fei-Fei Li Quick insights on resilience, mentorship, and the future of human-AI collaboration.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

On this episode of Chit Chat Stocks, we speak with recurring guest and Big Tech expert Rihard Jarc on the race in artificial intelligence (AI). We discuss:(00:00) Introduction(02:00) Amazon's AI Strategy and Anthropic Relationship(10:14) Google's Competitive Edge in AI(19:26) Meta's AI Monetization Strategies(28:24) Microsoft's Azure and AI Workloads(32:10) Understanding Neo Clouds and Their Impact(36:01) Nvidia's Strategic Moves and Circular Accounting(40:12) The Depreciation Dilemma of GPUs(52:19) OpenAI's Future and Financial Strategies(57:56) Predictions for AI Leaders by 2030UNCOVER ALPHA: https://www.uncoveralpha.com/*****************************************************JOIN OUR EMAIL NEWSLETTER AND CHAT COMMUNITY: https://chitchatstocks.substack.com/ *********************************************************************Chit Chat Stocks is presented by Interactive Brokers. Get professional pricing, global access, and premier technology with the best brokerage for investors today: https://www.interactivebrokers.com/ Interactive Brokers is a member of SIPC. *********************************************************************Fiscal.ai is building the future of financial data.With custom charts, AI-generated research reports, and endless analytical tools, you can get up to speed on any stock around the globe. All for a reasonable price. Use our LINK and get 15% off any premium plan: ⁠https://fiscal.ai/chitchat *********************************************************************Portseido is your best portfolio tracking & reporting solution that helps you track all investments in one place. We personally use the software to track our portfolio returns across brokerage accounts.Try it for free today: https://portseido.com/?fpr=ryan63 *********************************************************************Disclosure: Chit Chat Stocks hosts and guests are not financial advisors, and nothing they say on this show is formal advice or a recommendation.

Recorded live at Sequoia's Europe100 event: Michael Kagan, co-founder of Mellanox and CTO of Nvidia, explains how the $7 billion Mellanox acquisition helped transform Nvidia from a chip company into the architect of AI infrastructure. Kagan breaks down the technical challenges of scaling from single GPUs to 100K and eventually million-GPU data centers. He reveals why network performance—not just compute power—determines AI system efficiency. He discusses the shift from training to inference workloads, and his vision for AI as humanity's "spaceship of the mind," and why he thinks AI may help us discover laws of physics we haven't yet imagined. Hosted by Sonya Huang and Pat Grady

In this episode of The Data Center Frontier Show, DCF Editor-in-Chief Matt Vincent talks with Yuval Boger, Chief Commercial Officer at QuEra Computing, about the fast-evolving intersection of quantum and AI-accelerated supercomputing. QuEra, a Boston-based pioneer in neutral-atom quantum computers, recently expanded its $230 million funding round with new investment from NVentures (NVIDIA's venture arm) and announced a Nature-published breakthrough in algorithmic fault tolerance that dramatically cuts runtime overhead for error-corrected quantum algorithms. Boger explains how QuEra's systems, operating at room temperature and using identical rubidium atoms as qubits, offer scalable, power-efficient performance for HPC and cloud environments. He details the company's collaborations with NVIDIA, AWS, and global supercomputing centers integrating quantum processors alongside GPUs, and outlines why neutral-atom architectures could soon deliver practical, fault-tolerant quantum advantage. Listen as Boger discusses QuEra's technology roadmap, market position, and the coming inflection point where hybrid quantum-classical systems move from the lab into the data center mainstream.

AI infrastructure conversations tend to be dominated by GPUs, data center buildouts, and power and water consumption. But networks also play a crucial role, whether to support huge file transfers to a compute cluster, stream telemetry from edge locations to feed AI pipelines, or provide high-speed, low latency connectivity for AI agents. On today's Tech... Read more »

Gross margins, GPUs, and the future of finance — this one's for the metrics nerds. CJ sits down with Sarah Wang, General Partner at Andreessen Horowitz, to talk about what happens when the traditional SaaS playbook collides with AI. Sarah shares how legacy benchmarks like payback period and burn multiple start to break down in a world where compute, not headcount, drives costs. She explains why sky-high gross margins can actually be an orange flag, how finance leaders can think about resource allocation between engineers and GPUs, and why the most valuable finance teams today are deeply operational. They also unpack what it's like partnering with AI-native founders, the evolution of pricing models as LLM costs drop, and whether we'll see a private trillion-dollar company anytime soon.—LINKS:on LinkedIn: https://www.linkedin.com/in/sarah-wang-59b96a7/Company: https://a16z.com/CJ on X (@cjgustafson222): https://x.com/cjgustafson222Mostly metrics: https://www.mostlymetrics.com—RELATED EPISODES:996 Culture, Exploding AI Bills & SaaS ChaosFrom Credit Karma to Notion: CFO Rama Katkar on Leading Finance Through Every Growth Stage5,762 Job Applications. Zero Offers.Thinking About Adding Payments to Your Software Product? Listen to This First!—TIMESTAMPS:(00:00:00) Preview and Intro(00:02:40) Sponsors – Fidelity Private Shares, Mercury, RightRev(00:05:50) Sarah Joins the Show(00:06:06) The Future of Excel in the Age of AI(00:08:24) Why Gross Margins Don't Tell the Whole Story(00:10:42) When Sky-High Margins Are an Orange Flag(00:12:57) Finance as a Strategic Lever in AI Companies(00:15:04) Sponsors – Tipalti, Aleph, Rillet(00:17:22) Partnering with AI-Native Founders(00:20:35) When Traditional SaaS Benchmarks Break Down(00:23:58) Forecasting and Financial Planning for Compute Costs(00:27:16) The Engineers-Versus-GPUs Trade-Off(00:30:29) Resource Allocation and Infrastructure Efficiency(00:33:47) How Pricing Models Evolve as LLM Costs Drop(00:37:15) Circular Finance: When Big Tech Funds Its Own Vendors(00:40:39) Metrics That Still Matter in AI-Driven Businesses(00:44:12) The Evolving Role of Finance Leaders(00:47:26) What “Operational Finance” Really Means(00:50:58) Building Sustainable Efficiency in AI Companies(00:54:03) Will We See a Private Trillion-Dollar Company?(00:55:33) Outro—SPONSORS:Fidelity Private Shares is the all-in-one equity management platform that keeps your cap table clean, your data room organized, and your equity story clear—so you never risk losing a fundraising round over messy records. Schedule a demo at https://www.fidelityprivateshares.com and mention Mostly Metrics to get 20% off.Mercury is business banking built for builders, giving founders and finance pros a financial stack that actually works together. From sending wires to tracking balances and approving payments, Mercury makes it simple to scale without friction. Join the 200,000+ entrepreneurs who trust Mercury and apply online in minutes at https://www.mercury.comRightRev automates the revenue recognition process from end to end, gives you real-time insights, and ensures ASC 606 / IFRS 15 compliance—all while closing books faster. For RevRec that auditors actually trust, visit https://www.rightrev.com and schedule a demo.Tipalti automates the entire payables process—from onboarding suppliers to executing global payouts—helping finance teams save time, eliminate costly errors, and scale confidently across 200+ countries and 120 currencies. More than 5,000 businesses already trust Tipalti to manage payments with built-in security and tax compliance. Visit https://www.tipalti.com/runthenumbers to learn more.Aleph automates 90% of manual, error-prone busywork, so you can focus on the strategic work you were hired to do. Minimize busywork and maximize impact with the power of a web app, the flexibility of spreadsheets, and the magic of AI. Get a personalised demo at https://www.getaleph.com/runRillet is the AI-native ERP modern finance teams are switching to because it's faster, simpler, and 100% built for how teams operate today. See how fast your team can move. Book a demo at https://www.rillet.com/metrics#RunTheNumbersPodcast #FinanceLeadership #AIinBusiness #VentureCapital #SaaSMetrics This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit cjgustafson.substack.com

AI infrastructure conversations tend to be dominated by GPUs, data center buildouts, and power and water consumption. But networks also play a crucial role, whether to support huge file transfers to a compute cluster, stream telemetry from edge locations to feed AI pipelines, or provide high-speed, low latency connectivity for AI agents. On today's Tech... Read more »

Addison and new contributor, Alex Woodie from HPC Wire, look beyond the benchmarks with NextSilicon's "Maverick-2" Intelligent Compute Accelerator. Plus, Google's making big moves in the quantum computing space. Tune in for the breakdown.

An airhacks.fm conversation with Paul Sandoz (@paulsandoz) about: Devoxx conference experiences and Java's evolution over the past decade, energy efficiency studies comparing Java to C/Rust/Ada from 2017, Java performance improvements from Java 8 to Java 25, Code Reflection as manipulation of method bodies versus traditional reflection, tornadovm optimizations for GPU inference achieving 6-10x speedup over CPU, using pointers to keep data on GPUs avoiding transfer overhead, Metal support development for Apple Silicon, relationship between Project Babylon and TornadoVM, HAT project collaboration opportunities, Python's GPU performance through optimized NVIDIA libraries, enterprise challenges with Python in production versus Java's packaging simplicity, BLISS library for NumPy-like operations in Java, DJL.ai for tensor manipulation and Deep Learning, JTaccuino for Jupyter-style notebooks with JavaFX, MCP protocol implementation challenges with poor specification quality, minimal JSON API design philosophy for OpenJDK, cognitive overhead reduction in API design, pattern matching with JSON values, assertion-style API for fail-fast programming, JSON-P versus JSON-B trade-offs in enterprise applications, versioning challenges with data binding approaches, embedded HTTP server use cases for testing and development, JSON-java library as reference implementation, zero-dependency approach becoming more popular, Java 25 instance main methods with automatic java.base imports, zb zero-dependency builder project, marshalling and serialization rethinking in OpenJDK, trusted builds and dependency management in enterprise Java, comparison of Maven/Gradle complexity for simple projects, GPL licensing for OpenJDK code, the java.util.json experiment Paul Sandoz on twitter: @paulsandoz

AI is changing what we need from our computers—but does that mean you need an "AI PC"? Corey and Grant sit down with Logan Lawler from Dell Technologies who leads Dell Pro Max AI solutions to decode what matters (and what doesn't) when buying or upgrading your next computer. From CPUs and GPUs to memory, NPUs, and traps to avoid, this episode is your practical roadmap for staying future-ready through the next five years of AI-powered work.Dell Pro Max Workstations: https://www.dell.com/en-us/plcp/lp/dell-pro-max-pcs LM Studio LIVE tutorial: https://www.youtube.com/watch?v=Ai3sBeBdA1Y Kiwix Wikipedia Download: https://en.wikipedia.org/wiki/Kiwix One Trainer: https://github.com/Nerogar/OneTrainerJawset Postshot: https://www.jawset.com/Subscribe to The Neuron newsletter: https://theneuron.aiCheck out the Reshaping Workflows Podcast: https://reshaping-workflows.simplecast.com/

AI is changing what we need from our computers—but does that mean you need an "AI PC"? Corey and Grant sit down with Logan Lawler from Dell Technologies who leads Dell Pro Max AI solutions to decode what matters (and what doesn't) when buying or upgrading your next computer. From CPUs and GPUs to memory, NPUs, and traps to avoid, this episode is your practical roadmap for staying future-ready through the next five years of AI-powered work.Dell Pro Max Workstations: https://www.dell.com/en-us/plcp/lp/dell-pro-max-pcs LM Studio LIVE tutorial: https://www.youtube.com/watch?v=Ai3sBeBdA1Y Kiwix Wikipedia Download: https://en.wikipedia.org/wiki/KiwixOne Trainer: https://github.com/Nerogar/OneTrainerJawset Postshot: https://www.jawset.com/Subscribe to The Neuron newsletter: https://theneuron.aiCheck out the Reshaping Workflows Podcast: https://reshaping-workflows.simplecast.com/

Recent bankruptcies of companies that accessed the private debt market are a reminder that manager selection is of the utmost importance. The real acid test for the private debt market will be the next recession, although there are no signs of one on the horizon. Still, the labour market is changing, and we look for a rate cut at the Fed's next meeting on October 29, followed by another three by March. Alibaba claims to have invented a computing pooling solution that reduces the number of Nvidia GPUs needed to serve its AI models by 82%. An index of Hong Kong residential property infers prices are up 6% this month. This episode is presented by Mark Matthews, Head of Research Asia at Julius Baer.

What happens when the biggest technology trend is built on economics that don't make any sense when viewed end-to-end? Eventually, some aspect has to change, but which one? SHOW: 968SHOW TRANSCRIPT: The Cloudcast #968 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotwCHECK OUT OUR NEW PODCAST: "CLOUDCAST BASICS"SHOW SPONSORS:[TestKube] TestKube is Kubernetes-native testing platform, orchestrating all your test tools, environments, and pipelines into scalable workflows empowering Continuous Testing. Check it out at TestKube.io/cloudcast[Interconnected] Interconnected is a new series from Equinix diving into the infrastructure that keeps our digital world running. With expert guests and real-world insights, we explore the systems driving AI, automation, quantum, and more. Just search “Interconnected by Equinix”.SHOW NOTES:Tokens are getting more expensiveNvidia Earnings, Moats and China, Nvidia vs. the AI LabsOracle Assures Investors on AI Cloud Margins as It Struggles to Profit From Older Nvidia ChipsWHERE ARE THE BIGGEST AI RISKS?Jensen Huang (NVIDIA CEO) is convinced that the future will be built on always having the most advanced GPUs and Frontier Models. Oracle is telling investors that they will significantly increase profit margins between now and 2028-30, although they have low margins now and they don't make high margins on older chipsThe economics of AI (reasoning models, high#s of AI tokens) is in contrast to the established SaaS business model.Right now everything AI-associated has a high valuation, but these forces are working against each other. Which one is going to give first? FEEDBACK?Email: show at the cloudcast dot netTwitter/X: @cloudcastpodBlueSky: @cloudcastpod.bsky.socialInstagram: @cloudcastpodTikTok: @cloudcastpod

Check out Mostly Growth and get episodes early. Available on all platforms.* YouTube* Spotify* AppleIn this episode of Mostly Growth, CJ Gustafson, Kyle Poyar, and Ben Hillman dive into the question on everyone's mind: are we in an AI bubble? What starts as a lighthearted riff on the U.S. Postal Service launching a podcast quickly spirals into a sharp, funny breakdown of today's AI hype cycle — from Nvidia, OpenAI, and AMD trading money and GPUs in a trillion-dollar feedback loop, to startups burning cash chasing “AI-powered” everything. The trio share real examples of when AI helps and when it backfires (including one newsletter that totally tanked), debate whether companies are over-optimizing for automation, and laugh through the absurdity of the hype while grounding it in practical insights on product, finance, and growth.Timestamps:00:00 Preview and Intro00:14 Are We in an AI Bubble?00:44 The AI Feedback Loop: Nvidia, OpenAI, and AMD01:00 Perplexity, We Caught You (Again)02:18 The USPS Podcast and the End of Original Ideas04:24 How the Team Actually Uses AI at Work06:07 CJ's DIY Dunning Saga08:38 When Automation Goes Too Far10:49 The Perplexity Gaslight Moment13:27 AI vs. AI: Outsmarting Resume Screeners16:09 What Recruiters Really Think of AI Resumes17:17 The Chief of Staff Hiring Story19:15 Is AI Adoption Already Slowing Down?22:42 The “Crossing the Chasm” Moment for AI Tools26:22 Bundling AI Like Streaming Services28:49 Everyone's Paying Everyone: The Circular AI Economy31:15 Betting Big on AGI and Data Centers34:09 The Margin: AI Erotica and Peak Absurdity35:23 OpenAI's Token Leaderboard and Other Blunders41:43 What Kyle Tried This Week: Building an AI Agent44:52 Wrap-Up and OutroEpisodes Referenced:5,762 Job Applications. Zero Offers.Episodes Referenced:5,762 Job Applications. Zero Offers.Why Only 2% of Startups Make ItThe War for Talent is just getting started | Joe FloydLinks:https://usps-mailin-it.simplecast.com/https://i.imgflip.com/a92oy5.jpghttps://tabs.inc/webinar/tabs-agenthttps://www.nytimes.com/2025/10/07/business/ai-chatbot-prompts-resumes.html?_bhlid=1b5906cdc6781a738a150d9c32f846ebf11fc318https://substack.com/home/post/p-175615945https://ramp.com/data/ai-index?utm_source=econlab.substack.comhttps://medium.com/@samuelvandeth/crossing-the-chasm-162802d1cf27https://x.com/TrungTPhan/status/1922669292929024017/photo/1https://x.com/zerohedge/status/1977902195472322620?s=42https://topline.beehiiv.com/p/the-era-of-haves-and-have-notshttps://www.bbc.com/news/articles/cpd2qv58yl5ohttps://www.linkedin.com/posts/cj-gustafson-13140948_imagine-getting-called-into-your-cfos-office-activity-7381681514532458496-NOqa/https://fortune.com/2025/10/01/red-lobster-ceo-damola-adamolekun-comeback-plan-bankruptcy/https://fortune.com/2024/11/13/red-lobster-ceo-damola-adamolekun-says-endless-shrimp-is-never-coming-back/#https://www.relay.app/Today's podcast is brought to you by MetronomeYou just launched your new AI product. The new pricing page looks great. But behind it? Last-minute glue code, messy spreadsheets, and running ad-hoc queries to figure out what to bill. Customers get invoices they can't understand. Engineers are chasing billing bugs. Finance can't close the books.With Metronome, you hand it all off to the real-time billing infrastructure that just works—reliable, flexible, and built to grow with you. We turn raw usage events into accurate invoices, give customers bills they actually understand, and keep every team in sync in real time.Whether you're launching usage-based pricing, managing enterprise contracts, or rolling out new AI services, Metronome does the heavy lifting so you can focus on your product, not your billing.That's why some of the fastest-growing companies in the world, like OpenAI and Anthropic, run their billing on Metronome.Visit metronome.com to learn more. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit cjgustafson.substack.com

Today's show:*On a very special TWiST, Jason's joined by “one of the greatest investors in in the history of VC,” Steve Jurvetson of Future Ventures.Together, they look back at some of Steve's earliest investments and learnings, the promise and ultimate failure of nanotech, breaking down the AI hype cycle, the primacy of neural networks, the return of nuclear power, why “AI safety” might be illusory, and much more.It's a packed show full of deep insights from one of the greatest minds in technology today. Do not miss this ep!Timestamps:(00:00)Jason's 1-on-1 today with “one of the greatest investors in the history of VC,” Steve Jurvetson(00:03:04) The early origins of Steve's fascination with “deep tech”(00:08:03) Jason and Steve recall playing around with the TRS-80 (“The Trash-80”)(10:00) Perspective AI: Real insights, straight from your customers, and your first two months are on us. Just go to getperspective.ai/twist.(00:15:13) Keeping your portfolio diverse when so many companies look the same(20:00) .TECH: Say it without saying it. Head to get.tech/twist or your favorite registrar to get a clean, sharp .tech domain today.(00:20:49) The promise of nanotech and why it fell apart(00:25:46) Breaking down the “hype” cycle and how trends get co-opted(00:26:27) Why Moore's Law and the Power Law are so important for investors(30:00) Northwest Registered Agent - Form your entire business identity in just 10 clicks and 10 minutes. Get more privacy, more options, and more done—visit https://www.northwestregisteredagent.com/twist today!(00:33:36) Understanding the rise of GPUs and how they resemble tiny brains(00:51:32) Revisiting a classic clip of Steve talking about robots(00:54:04) How Jason and Steve got their hands on some of the earliest Tesla Roadsters(01:00:09) Flashback Clip: Elon predicts 2025 in 2015… how'd he do?(01:02:46) Why did the world turn SO strongly against nuclear energy?(01:16:06) Can we make AI “safe” in the age of GPT Psychosis? Is it too inscrutable?(01:21:54) Why Steve thinks technology will ultimately doom autocratic regimes.Subscribe to the TWiST500 newsletter: https://ticker.thisweekinstartups.comCheck out the TWIST500: https://www.twist500.comSubscribe to This Week in Startups on Apple: https://rb.gy/v19fcpFollow Lon:X: https://x.com/lonsFollow Alex:X: https://x.com/alexLinkedIn: ⁠https://www.linkedin.com/in/alexwilhelmFollow Jason:X: https://twitter.com/JasonLinkedIn: https://www.linkedin.com/in/jasoncalacanisThank you to our partners:TECH: Say it without saying it. Head to get.tech/twist or your favorite registrar to get a clean, sharp .tech domain today.Northwest Registered Agent - Form your entire business identity in just 10 clicks and 10 minutes. Get more privacy, more options, and more done—visit https://www.northwestregisteredagent.com/twist today!Perspective AI: Real insights, straight from your customers, and your first two months are on us. Just go to getperspective.ai/twist.Great TWIST interviews: Will Guidara, Eoghan McCabe, Steve Huffman, Brian Chesky, Bob Moesta, Aaron Levie, Sophia Amoruso, Reid Hoffman, Frank Slootman, Billy McFarlandCheck out Jason's suite of newsletters: https://substack.com/@calacanisFollow TWiST:Twitter: https://twitter.com/TWiStartupsYouTube: https://www.youtube.com/thisweekinInstagram: https://www.instagram.com/thisweekinstartupsTikTok: https://www.tiktok.com/@thisweekinstartupsSubstack: https://twistartups.substack.comSubscribe to the Founder University Podcast: https://www.youtube.com/@founderuniversity1916

Jeetu Patel knows a few AI secrets. As the President of one of the largest companies in the world, he's helped pave the AI adoption roadmap. At Cisco, they provide full-stack, enterprise AI solutions spanning infrastructure, security, observability, and operations to the world's largest companies. So naturally, Jeetu could write a legit playbook on what's slowing enterprises down in the AI fast lane and how they can overcome those bottlenecks. And naturally, Jeetu is gonna share it all with us. The 3 Big Obstacles Holding AI Adoption Back -- An Everyday AI Chat with Cisco President Jeetu PatelNewsletter: Sign up for our free daily newsletterMore on this Episode:Episode PageJoin the discussion on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Enterprise AI Adoption Rates & ChallengesAI Workflow Automation Phase ExplainedThree Big Obstacles to AI AdoptionInfrastructure Constraints for Enterprise AITrust Deficit in AI SystemsData Gaps Impacting AI SuccessMeasuring ROI on Enterprise AI DeploymentFuture Trends: Agentic AI and Original InsightsTimestamps:00:00 AI Adoption Challenges in Enterprise05:18 AI Adaptation: The Key Strength08:56 AI Infrastructure and Trust Challenges10:23 Building Trust and Harnessing Data13:27 Unsatiated Demand Signals Growth19:12 Proactive AI Model Safeguards22:07 AI Strategy and Business Growth26:09 Key Metrics for AI Success28:10 Guardrails for AI Vulnerabilities31:34 AI Unlocking Revolutionary DiscoveriesKeywords:AI adoption, obstacles to AI adoption, enterprise AI, generative AI, AI strategies, chatbots, autonomous agents, workflow automation, business productivity automation, infrastructure for AI, AI power consumption, data center capacity, compute capacity, GPUs, Nvidia, AMD, network bandwidth, CapEx in AI, AI bubble, national security and AI, economic growth and AI, AI trust deficit, securing AI, AI safety, AI hallucinations, large language models, model unpredictability, AI guardrails, algorithmic jailbreak, AI security stack, AI defense, company data as moat, AI data pipeline, data gap in AI, machine data, human data, synthetic data, time series data, data correlation, AI model training, AI ROI, trust in AI systems, agentic workflows, future of AI, robotics, humanoid AI, physical AI, original insights with AI, economic prosperity with AI, AI-generated knowledge, workflow automation with AI agents, scaling AI in enterprisesSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner

AI is not just hype, it's the next economic revolution. In this solo episode, we break down the game-changing insights of Jordi Visser, macro investor and founder of @VisserLabs, as he unpacks how AI is reshaping global markets, jobs, and the financial system. We'll explore why AI is driving trillions in new capital investment, how it's changing labor markets, and why Bitcoin (BTC) may be the “purest AI investment play.” Plus, I share my real-world experiences using AI agents, n8n workflows, and automation tools to streamline work and build new digital products.  Key Takeaways Jordi Visser says betting against AI = betting against innovation. $500B+ in AI infrastructure investment coming by 2026. Bitcoin could be the ultimate AI hedge. Massive white-collar job disruption ahead — but also opportunity. AI empowers entrepreneurs to build products and income streams rapidly.   Jordi's Substack: Substack/@visserlabs Visser Labs YouTube Channel: YouYube/@visserlabs Jordi Visser Bio: With over 30 years of Wall Street expertise in traditional finance and macroeconomics, I guide you through the evolving landscape of investments, from conventional assets to cryptocurrencies and AI-driven technologies.

In this episode, we're joined by Kunle Olukotun, professor of electrical engineering and computer science at Stanford University and co-founder and chief technologist at Sambanova Systems, to discuss reconfigurable dataflow architectures for AI inference. Kunle explains the core idea of building computers that are dynamically configured to match the dataflow graph of an AI model, moving beyond the traditional instruction-fetch paradigm of CPUs and GPUs. We explore how this architecture is well-suited for LLM inference, reducing memory bandwidth bottlenecks and improving performance. Kunle reviews how this system also enables efficient multi-model serving and agentic workflows through its large, tiered memory and fast model-switching capabilities. Finally, we discuss his research into future dynamic reconfigurable architectures, and the use of AI agents to build compilers for new hardware. The complete show notes for this episode can be found at https://twimlai.com/go/751.

VHEADLINE: DeepSeek AI: Chinese LLM Performance and Security Flaws Revealed Amid Semiconductor Export Circumvention GUEST NAME: Jack Burnham SUMMARY: John Batchelor speaks with Jack Burnham about competition in Large Language Models between the US and China's DeepSeek. A NIST study found US models superior in software engineering, though DeepSeek showed parity in scientific questions. Critically, DeepSeek models exhibited significant security flaws. China attempts to circumvent US export controls on GPUs by smuggling and using cloud computing centers in Southeast Asia. Additionally, China aims to dominate global telecommunications through control of supply chains and legal mechanisms granting the CCP access to firm data.E 1959

CBS EYE ON THE WORLD WITH JOHN BATCHELOR 1900 KYIV THE SHOW BEGINS IN THE DOUBTS THAT CONGRESS IS CAPABLE OF CUTTING SPENDING..... 10-8-25 FIRST HOUR 9-915 HEADLINE: Arab Intellectuals Fail Palestinians by Prioritizing Populism and Victimhood Narrative in Gaza ConflictGUEST NAME: Hussain Abdul-Hussain SUMMARY: John Batchelor speaks with Hussain Abdul-Hussain about Hamas utilizing the power of victimhood to justify atrocities and vilify opponents. Arab and Muslim intellectuals have failed Palestinians by prioritizing populism over introspection and self-critique. Regional actors like Egypt prioritize populist narratives over national interests, exemplified by refusing to open the Sinai border despite humanitarian suffering. The key recommendation is challenging the narrative and fostering a reliable, mature Palestinian government. 915-930 HEADLINE: Arab Intellectuals Fail Palestinians by Prioritizing Populism and Victimhood Narrative in Gaza ConflictGUEST NAME: Hussain Abdul-Hussain SUMMARY: John Batchelor speaks with Hussain Abdul-Hussain about Hamas utilizing the power of victimhood to justify atrocities and vilify opponents. Arab and Muslim intellectuals have failed Palestinians by prioritizing populism over introspection and self-critique. Regional actors like Egypt prioritize populist narratives over national interests, exemplified by refusing to open the Sinai border despite humanitarian suffering. The key recommendation is challenging the narrative and fostering a reliable, mature Palestinian government. 930-945 HEADLINE: Russian Oil and Gas Revenue Squeezed as Prices Drop, Turkey Shifts to US LNG, and China Delays Pipeline GUEST NAME: Michael Bernstam SUMMARY: John Batchelor speaks with Michael Bernstam about Russia facing severe budget pressure due to declining oil prices projected to reach $40 per barrel for Russian oil and global oil surplus. Turkey, a major buyer, is abandoning Russian natural gas after signing a 20-year LNG contract with the US. Russia refuses Indian rupee payments, demanding Chinese renminbi, which India lacks. China has stalled the major Power of Siberia 2 gas pipeline project indefinitely. Russia utilizes stablecoin and Bitcoin via Central Asian banks to circumvent payment sanctions. 945-1000 HEADLINE: UN Snapback Sanctions Imposed on Iran; Debate Over Nuclear Dismantlement and Enrichment GUEST NAME: Andrea Stricker SUMMARY: John Batchelor speaks with Andrea Stricker about the US and Europe securing the snapback of UN sanctions against Iran after 2015 JCPOA restrictions expired. Iran's non-compliance with inspection demands triggered these severe sanctions. The discussion covers the need for full dismantlement of Iran's nuclear program, including both enrichment and weaponization capabilities, to avoid future conflict. Concerns persist about Iran potentially retaining enrichment capabilities through low-level enrichment proposals and its continued non-cooperation with IAEA inspections. SECOND HOUR 10-1015 HEADLINE: Commodities Rise and UK Flag Controversy: French Weather, Market Trends, and British Politics GUEST NAME: Simon Constable SUMMARY: John Batchelor speaks with Simon Constable about key commodities like copper up 16% and steel up 15% signaling strong economic demand. Coffee prices remain very high at 52% increase. The conversation addresses French political turmoil, though non-citizens cannot vote. In the UK, the St. George's flag has become highly controversial, viewed by some as associated with racism, unlike the Union Jack. This flag controversy reflects a desire among segments like the white working class to assert English identity. 1015-1030 HEADLINE: Commodities Rise and UK Flag Controversy: French Weather, Market Trends, and British Politics GUEST NAME: Simon Constable SUMMARY: John Batchelor speaks with Simon Constable about key commodities like copper up 16% and steel up 15% signaling strong economic demand. Coffee prices remain very high at 52% increase. The conversation addresses French political turmoil, though non-citizens cannot vote. In the UK, the St. George's flag has become highly controversial, viewed by some as associated with racism, unlike the Union Jack. This flag controversy reflects a desire among segments like the white working class to assert English identity. 1030-1045 HEADLINE: China's Economic Contradictions: Deflation and Consumer Wariness Undermine GDP Growth ClaimsGUEST NAME: Fraser Howie SUMMARY: John Batchelor speaks with Fraser Howie about China facing severe economic contradictions despite high World Bank forecasts. Deflation remains rampant with frequently negative CPI and PPI figures. Consumer wariness and high youth unemployment at one in seven persist throughout the economy. The GDP growth figure is viewed as untrustworthy, manufactured through debt in a command economy. Decreased container ship arrivals point to limited actual growth, exacerbated by higher US tariffs. Economic reforms appear unlikely as centralization under Xi Jinping continues. 1045-1100 HEADLINE: Takaichi Sanae Elected LDP Head, Faces Coalition Challenge to Become Japan's First Female Prime Minister GUEST NAME: Lance Gatling SUMMARY: John Batchelor speaks with Lance Gatling about Takaichi Sanae being elected head of Japan's LDP, positioning her to potentially become the first female Prime Minister. A conservative figure, she supports visits to the controversial Yasukuni Shrine. Her immediate challenge is forming a majority coalition, as the junior partner Komeito disagrees with her conservative positions and social policies. President Trump praised her election, signaling potential for strong bilateral relations. THIRD HOUR 1100-1115 VHEADLINE: DeepSeek AI: Chinese LLM Performance and Security Flaws Revealed Amid Semiconductor Export Circumvention GUEST NAME: Jack Burnham SUMMARY: John Batchelor speaks with Jack Burnham about competition in Large Language Models between the US and China's DeepSeek. A NIST study found US models superior in software engineering, though DeepSeek showed parity in scientific questions. Critically, DeepSeek models exhibited significant security flaws. China attempts to circumvent US export controls on GPUs by smuggling and using cloud computing centers in Southeast Asia. Additionally, China aims to dominate global telecommunications through control of supply chains and legal mechanisms granting the CCP access to firm data.E V 1115-1130 HEADLINE: DeepSeek AI: Chinese LLM Performance and Security Flaws Revealed Amid Semiconductor Export Circumvention GUEST NAME: Jack Burnham SUMMARY: John Batchelor speaks with Jack Burnham about competition in Large Language Models between the US and China's DeepSeek. A NIST study found US models superior in software engineering, though DeepSeek showed parity in scientific questions. Critically, DeepSeek models exhibited significant security flaws. China attempts to circumvent US export controls on GPUs by smuggling and using cloud computing centers in Southeast Asia. Additionally, China aims to dominate global telecommunications through control of supply chains and legal mechanisms granting the CCP access to firm data. 1130-1145 HEADLINE: Taiwanese Influencer Charged for Threatening President; Mainland Chinese Influence Tactics ExposedGUEST NAME: Mark Simon SUMMARY: John Batchelor speaks with Mark Simon about internet personality Holger Chen under investigation in Taiwan for calling for President William Lai's decapitation. This highlights mainland Chinese influence operations utilizing influencers who push themes of military threat and Chinese greatness. Chen is suspected of having a mainland-affiliated paymaster due to lack of local commercial support. Taiwan's population primarily identifies as Taiwanese and is unnerved by constant military threats. A key propaganda goal is convincing Taiwan that the US will not intervene. 1145-1200 HEADLINE: Sentinel ICBM Modernization is Critical and Cost-Effective Deterrent Against Great Power CompetitionGUEST NAME: Peter Huessy SUMMARY: John Batchelor speaks with Peter Huessy about the Sentinel program replacing aging 55-year-old Minuteman ICBMs, aiming for lower operating costs and improved capabilities. Cost overruns stem from necessary infrastructure upgrades, including replacing thousands of miles of digital command and control cabling and building new silos. Maintaining the ICBM deterrent is financially and strategically crucial, saving hundreds of billions compared to relying solely on submarines. The need for modernization reflects the end of the post-Cold War "holiday from history," requiring rebuilding against threats from China and Russia. FOURTH HOUR 12-1215 HEADLINE: Supreme Court Battles Over Presidential Impoundment Authority and the Separation of Powers GUEST NAME: Josh Blackman SUMMARY: John Batchelor speaks with Josh Blackman about Supreme Court eras focusing on the separation of powers. Currently, the court is addressing presidential impoundment—the executive's authority to withhold appropriated funds. Earlier rulings, particularly 1975's Train v. City of New York, constrained this power. The Roberts Court appears sympathetic to reclaiming presidential authority lost during the Nixon era. The outcome of this ongoing litigation will determine the proper balance between executive and legislative branches. 1215-1230 HEADLINE: Supreme Court Battles Over Presidential Impoundment Authority and the Separation of Powers GUEST NAME: Josh Blackman SUMMARY: John Batchelor speaks with Josh Blackman about Supreme Court eras focusing on the separation of powers. Currently, the court is addressing presidential impoundment—the executive's authority to withhold appropriated funds. Earlier rulings, particularly 1975's Train v. City of New York, constrained this power. The Roberts Court appears sympathetic to reclaiming presidential authority lost during the Nixon era. The outcome of this ongoing litigation will determine the proper balance between executive and legislative branches. 1230-1245 HEADLINE: Space Force Awards Contracts to SpaceX and ULA; Juno Mission Ending, Launch Competition Heats UpGUEST NAME: Bob Zimmerman SUMMARY: John Batchelor speaks with Bob Zimmerman about Space Force awarding over $1 billion in launch contracts to SpaceX for five launches and ULA for two launches, highlighting growing demand for launch services. ULA's non-reusable rockets contrast with SpaceX's cheaper, reusable approach, while Blue Origin continues to lag behind. Other developments include Firefly entering defense contracting through its Scitec acquisition, Rocket Lab securing additional commercial launches, and the likely end of the long-running Juno Jupiter mission due to budget constraints. 1245-100 AM HEADLINE: Space Force Awards Contracts to SpaceX and ULA; Juno Mission Ending, Launch Competition Heats UpGUEST NAME: Bob Zimmerman SUMMARY: John Batchelor speaks with Bob Zimmerman about Space Force awarding over $1 billion in launch contracts to SpaceX for five launches and ULA for two launches, highlighting growing demand for launch services. ULA's non-reusable rockets contrast with SpaceX's cheaper, reusable approach, while Blue Origin continues to lag behind. Other developments include Firefly entering defense contracting through its Scitec acquisition, Rocket Lab securing additional commercial launches, and the likely end of the long-running Juno Jupiter mission due to budget constraints.

VHEADLINE: DeepSeek AI: Chinese LLM Performance and Security Flaws Revealed Amid Semiconductor Export Circumvention GUEST NAME: Jack Burnham SUMMARY: John Batchelor speaks with Jack Burnham about competition in Large Language Models between the US and China's DeepSeek. A NIST study found US models superior in software engineering, though DeepSeek showed parity in scientific questions. Critically, DeepSeek models exhibited significant security flaws. China attempts to circumvent US export controls on GPUs by smuggling and using cloud computing centers in Southeast Asia. Additionally, China aims to dominate global telecommunications through control of supply chains and legal mechanisms granting the CCP access to firm data. 1942