Podcasts about coreweave

Core Scientific shareholders voted no on CoreWeave's $9 billion acquisition proposal, and CleanSpark acquired a Texas site for a 285 MW AI site. Subscribe to the Blockspace newsletter for market-making news as it hits the wire! Welcome back to The Mining Pod! For this week's roundup, we break down Core Scientific shareholders voting NO on the $9B CoreWeave acquisition, CleanSpark's plans for a new 285 megawatt Texas site for AI workloads, and TeraWulf's record 25-year contract with FluidStack. Plus, Ethan Vera from Luxor joins to analyze the ASIC market and where hash rate growth is really coming from. And for this week's cry corner, why the filter soft fork is doomed to fail. Notes:  • Core Scientific shareholders rejected CoreWeave deal • Hashprice dropped to $43.73 per petahash daily • Difficulty adjusted upward 6.3% • Hashrate reached 1.1 zettahash on 7-day average • CleanSpark acquired Texas site with 300 MW pipeline • TeraWulf signed 25-year deal with FluidStack Timestamps: 00:00 Start 02:09 Difficulty Report by Luxor 07:47 ASIC market update 12:01 CORZ deal fails 22:14 CleanSpark data center acquisition 27:51 WULF $9.5B FS extension 33:36 Cry Corner: Fork time?

Subscribe to the Blockspace newsletter for market-making news as it hits the wire! Welcome back to The Mining Pod! For this week's roundup, we break down Core Scientific shareholders voting NO on the $9B CoreWeave acquisition, CleanSpark's plans for a new 285 megawatt Texas site for AI workloads, and TeraWulf's record 25-year contract with FluidStack. Plus, Ethan Vera from Luxor joins to analyze the ASIC market and where hash rate growth is really coming from. And for this week's cry corner, why the filter soft fork is doomed to fail. Notes:  • Core Scientific shareholders rejected CoreWeave deal • Hashprice dropped to $43.73 per petahash daily • Difficulty adjusted upward 6.3% • Hashrate reached 1.1 zettahash on 7-day average • CleanSpark acquired Texas site with 300 MW pipeline • TeraWulf signed 25-year deal with FluidStack Timestamps: 00:00 Start 02:09 Difficulty Report by Luxor 07:47 ASIC market update 12:01 CORZ deal fails 22:14 CleanSpark data center acquisition 27:51 WULF $9.5B FS extension 33:36 Cry Corner: Fork time?

Hey, it's Alex! Happy Halloween friends! I'm excited to bring you this weeks (spooky) AI updates! We started the show today with MiniMax M2, the currently top Open Source LLM, with an interview with their head of eng, Skyler Miao, continued to dive into OpenAIs completed restructuring into a non-profit and a PBC, including a deep dive into a live stream Sam Altman had, with a ton of spicy details, and finally chatted with Arjun Desai from Cartesia, following a release of Sonic 3, a sub 49ms voice model! So, 2 interviews + tons of news, let's dive in! (as always, show notes in the end)Hey, if you like this content, it would mean a lot if you subscribe as a paid subscriber.Open Source AIMiniMax M2: open-source agentic model at 8% of Claude's price, 2× speed (X, Hugging Face )We kicked off our open-source segment with a banger of an announcement and a special guest. The new king of open-source LLMs is here, and it's called MiniMax M2. We were lucky enough to have Skyler Miao, Head of Engineering at Minimax, join us live to break it all down.M2 is an agentic model built for code and complex workflows, and its performance is just staggering. It's already ranked in the top 5 globally on the Artificial Analysis benchmark, right behind giants like OpenAI and Anthropic. But here's the crazy part: it delivers nearly twice the speed of Claude 3.5 Sonnet at just 8% of the price. This is basically Sonnet-level performance, at home, in open source.Skylar explained that their team saw an “impossible triangle” in the market between performance, cost, and speed—you could only ever get two. Their goal with M2 was to build a model that could solve this, and they absolutely nailed it. It's a 200B parameter Mixture-of-Experts (MoE) model, but with only 10B active parameters per inference, making it incredibly efficient.One key insight Skylar shared was about getting the best performance. M2 supports multiple APIs, but to really unlock its reasoning power, you need to use an API that passes the model's “thinking” tokens back to it on the next turn, like the Anthropic API. Many open-source tools don't support this yet, so it's something to watch out for.Huge congrats to the MiniMax team on this Open Weights (MIT licensed) release, you can find the model on HF! MiniMax had quite a week, with 3 additional releases, MiniMax speech 2.6, an update to their video model Hailuo 2.3 and just after the show, they released a music 2.0 model as well! Congrats on the shipping folks! OpenAI drops gpt-oss-safeguard - first open-weight safety reasoning models for classification ( X, HF )OpenAI is back on the open weights bandwagon, with a finetune release of their previously open weighted gpt-oss models, with gpt-oss-safeguard. These models were trained exclusively to help companies build safeguarding policies to make sure their apps remains safe! With gpt-oss-safeguards 20B and 120B, OpenAI is achieving near parity with their internal safety models, and as Nisten said on the show, if anyone knows about censorship and safety, it's OpenAI! The highlight of this release is, unlike traditional pre-trained classifiers, these models allow for updates to policy via natural language!These models will be great for businesses that want to safeguard their products in production, and I will advocate to bring these models to W&B Inference soon! A Humanoid Robot in Your Home by 2026? 1X NEO announcement ( X, Order page, Keynote )Things got really spooky when we started talking about robotics. The company 1X, which has been on our radar for a while, officially launched pre-orders for NEO, the world's first consumer humanoid robot designed for your home. And yes, you can order one right now for $20,000, with deliveries expected in early 2026.The internet went crazy over this announcement, with folks posting receipts of getting one, other folks stoking the uncanny valley fears that Sci-fi has built into many people over the years, of the Robot uprising and talking about the privacy concerns of having a human tele-operate this Robot in your house to do chores. It can handle chores like cleaning and laundry, and for more complex tasks that it hasn't learned yet, it uses a teleoperation system where a human “1X Expert” can pilot the robot remotely to perform the task. This is how it collects the data to learn to do these tasks autonomously in your specific home environment.The whole release is very interesting, from the “soft and quiet” approach 1X is taking, making their robot a 66lbs short king, draped in a knit sweater, to the $20K price point (effectively at loss given how much just the hands cost), the teleoperated by humans addition, to make sure the Robot learns about your unique house layout. The conversation on the show was fascinating. We talked about all the potential use cases, from having it water your plants and look after your pets while you're on vacation to providing remote assistance for elderly relatives. Of course, there are real privacy concerns with having a telepresence device in your home, but 1X says these sessions are scheduled by you and have strict no-go zones.Here's my prediction: by next Halloween, we'll see videos of these NEO robots dressed up in costumes, helping out at parties. The future is officially here. Will you be getting one? If not this one, when will you think you'll get one? OpenAI's Grand Plan: From Recapitalization to ASIThis was by far the biggest update about the world of AI for me this week! Sam Altman was joined by Jakub Pachocki, chief scientist and Wojciech Zaremba, a co-founder, on a live stream to share an update about their corporate structure, plans for the future, and ASI goals (Artificial Superintelligence) First, the company now has a new structure: a non-profit OpenAI Foundation governs the for-profit OpenAI Group. The foundation starts with about 26% equity and has a mission to use AI for public good, including an initial $25 billion commitment to curing diseases and building an “AI Resilience” ecosystem.But the real bombshells were about their research timeline. Chief Scientist Jakub Pachocki stated that they believe deep learning systems are less than a decade away from superintelligence (ASI). He said that at this point, AGI isn't even the right goal anymore. To get there, they're planning to have an “AI research intern” by September 2026 and a fully autonomous AI researcher comparable to their human experts by March 2028. This is insane if you think about it. As Yam mentioned, OpenAI is already shipping at an insane speed, releasing Models and Products, Sora, Atlas, Pulse, ChatGPT app store, and this is with humans, assisted by AI. And here, they are talking about complete and fully autonomous researchers, that will be infinitely more scalable than humans, in the next 2 years. The outcomes of this are hard to imagine and are honestly mindblowing. To power all this innovation, Sam revealed they have over $1.4 trillion in obligations for compute (over 30 GW). And said even that's not enough. Their aspiration is to build a “compute factory” capable of standing up one gigawatt of new compute per week, and he hinted they may need to “rethink their robotics strategy” to build the data centers fast enough. Does this mean OpenAI humanoid robots building factories?

CoreWeave (CRWV) is one of several A.I. related companies to go public in 2025 as the artificial intelligence investing theme has captured the attention of nearly every tech firm on Wall Street. Rick Ducat provides the fundamental backdrop to CoreWeave's transformation from a crypto miner to one of Nvidia's (NVDA) trusted data center partners. Plus, Rick examines the technical layout on CoreWeave's chart dating back to its public debut in March.======== Schwab Network ========Empowering every investor and trader, every market day. Subscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribeDownload the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watchWatch on Vizio - https://www.vizio.com/en/watchfreeplus-exploreWatch on DistroTV - https://www.distro.tv/live/schwab-network/Follow us on X – https://twitter.com/schwabnetworkFollow us on Facebook – https://www.facebook.com/schwabnetworkFollow us on LinkedIn - https://www.linkedin.com/company/schwab-network/ About Schwab Network - https://schwabnetwork.com/about

Hey everyone, Alex here! Welcome... to the browser war II - the AI edition! This week we chatted in depth about ChatGPT's new Atlas agentic browser, and the additional agentic powers Microsoft added to Edge with Copilot Mode (tho it didn't work for me) Also this week was a kind of crazy OCR week, with more than 4 OCR models releasing, and the crown one is DeepSeek OCR, that turned the whole industry on it's head (more later) Quite a few video updates as well, with real time lipsync from Decart, and a new update from LTX with 4k native video generation, it's been a busy AI week for sure! Additionally, I've had the pleasure to talk about AI Browsing agents with Paul from BrowserBase and real time video with Kwindla Kramer from Pipecat/Daily, so make sure to tune in for those interviews, buckle up, let's dive in! Thanks for reading ThursdAI - Recaps of the most high signal AI weekly spaces! This post is public so feel free to share it.Open Source: OCR is Not What You Think It Is (X, HF, Paper)The most important and frankly mind-bending release this week came from DeepSeek. They dropped DeepSeek-OCR, and let me tell you, this is NOT just another OCR model. The cohost were buzzing about this, and once I dug in, I understood why. This isn't just about reading text from an image; it's a revolutionary approach to context compression.We think that DeepSeek needed this as an internal tool, so we're really grateful to them for open sourcing this, as they did something crazy here. They are essentially turning text into a visual representation, compressing it, and then using a tiny vision decoder to read it back with incredible accuracy. We're talking about a compression ratio of up to 10x with 97% decoding accuracy. Even at 20x compression they are achieving 60% decoding accuracy! My head exploded live on the show when I read that. This is like the middle-out compression algorithm joke from Silicon Valley, but it's real. As Yam pointed out, this suggests our current methods of text tokenization are far from optimal.With only 3B and ~570M active parameters, they are taking a direct stab at long context inefficiency, imagine taking 1M tokens, encoding them into 100K visual tokens, and then feeding those into a model. Since the model is tiny, it's very cheap to run, for example, alphaXiv claimed they have OCRd' all of the papers on ArXiv with this model for $1000, a task that would have cost $7500 using MistalOCR - as per their paper, with DeepSeek OCR, on a single H100 GPU, its possible to scan up to 200K pages!

This week we talk about entanglements, monopolies, and illusory money.We also discuss electrification, LLMs, and data centers.Recommended Book: The Extinction of Experience by Christine RosenTranscriptOne of the big claims about artificial intelligence technologies, including but not limited to LLM-based generative AI tech, like ChatGPT, Claude, and Gemini, is that they will serve as universal amplifiers.Electricity is another universal amplifier, in that electrifying systems allows you to get a lot more from pretty much every single thing you do, while also allowing for the creation of entirely new systems.Cooking things in the kitchen? Much easier with electricity. Producing things on an assembly line? The introduction of electricity allows you to introduce all sorts of robotics, measuring tools, and safety measures that would not have otherwise been available, and all of these things make the entire process safer, cheaper, and a heck of a lot more effective and efficient.The prime argument behind many sky-high AI company valuations, then, is that if these things evolve in the way they could evolve, becoming increasingly capable and versatile and cheap, cooking could become even easier, manufacturing could become still faster, cheaper, and safer, and every other aspect of society and the economy would see similar gains.If you're the people making AI, if you own these tools, or a share of the income derived from them, that's a potentially huge pot of money: a big return on your investment. People make fortunes off far more focused, less-impactful companies and technologies all the time, and being able to create the next big thing in not just one space, but every space? Every aspect of everything, potentially? That's like owning a share of electricity, and making money every time anyone uses electricity for anything.Through that lens, the big boom in both use of and investment in AI technologies maybe shouldn't be so surprising. This represents a potentially generational sea-change in how everything works, what the economy looks like, maybe even how governments are run, militaries fight, and so on. If you can throw money into the mix, why wouldn't you? And if that's the case, the billions upon billions of dollars sloshing around in this corner of the tech world make a lot of sense; it may be curious that there's not even more money being invested.Belief in that promise is not universal, however.A lot of people see these technologies not as the next electricity, but maybe the next smartphone, or perhaps the next SUV.Smartphones changed a whole lot about society too, but they're hardly the same groundbreaking, omni-powerful upgrade that electricity represents.SUVs, too, flogged sales for flailing car companies, boosting their revenues at a moment in which they desperately needed to sell more vehicles to survive. But they were just another, more popular model of what already came before. There's a chance AI will be similar to that: better software than came before, for some people's use-cases—but not revolutionary, not groundbreaking even on the scale of pocketable phone-computers.What I'd like to talk about today are the peculiar economics that seem to be playing a role in the AI boom, and why many analysts and financial experts are eyeballing these economics warily, worrying about what they maybe represent, and possibly portend.—The term ‘exuberance,' in the context of markets, refers to an excitement among investors—sometimes professional investors, sometimes casual investors, sometimes both—about a particular company, technology, or financial product type.The surge in interest and investment in cryptoassets during the height of the COVID-19 pandemic, for instance, including offshoot products like NFTs, was seemingly caused by a period of exuberance, sparked by the novelty of the product, the riches a few lucky insiders made off these products, and the desire by many people—pros and consumer-grade investors—to get in on that action, at a moment in which there wasn't as much to do in the world as usual.Likewise, the gobs of money plowed into early internet companies, and the money thrown at companies laying fiberoptic cable for the presumed boom in internet customers, were, in retrospect, at least partly the consequence of irrational exuberance.In some cases these investors were just too early, as was the case with those cable-laying companies—the majority of them going out of business after blowing through a spectacular amount of money in a short period of time, and not finding enough paying customers to fund all that expansion—in others it was the result of sky-high valuations that were based on little beyond the exuberance of investors who probably should have known better, but who couldn't get past their fear of missing out on the next big thing.In that latter case, that flow of money into early dotcom startups did fund a few winners that survived the eventual bursting of that bubble, but the majority of companies tagged with those massive valuations went out of business in part because their valuations were based in part on optimism, hot air, and illusory financials.Which is to say, their financials were based on a lot of money being added to their account sheets and tallied in the places investors would see those numbers, but the numbers didn't mean what most people thought they meant.A company could receive tens of millions of dollars in orders, for instance, but that money and those orders might never be received and fulfilled, or that money might be mostly illusory: maybe it was borrowed from another company to spend on advertising, and that money would then go right back out the door, to the company from which it was borrowed, to pay for their ad services.That kind of arrangement could be beneficial, as the company doing the borrowing might give up a relatively small number of shares in exchange for money, which looks good on its balance sheet, especially if the money is given at a high valuation, even if that money was mostly just a loan from a company providing ad services, with the full knowledge that money would then be spent on their own ad services. And the ad company giving the money could usually afford to buy in at a high valuation, because it knows it will get that money right back, and when it does, it will get to record that money as income on its own balance sheets.So Company A gets millions of dollars from Company B, that money is then paid to Company B for some type of service, and both companies get to record favorable figures on their accounting sheets, as if real sales took place and real outside money changed hands, despite it being a circular move, with very little or no actual value being created.These sorts of relationships are also often good for investors in companies that do this sort of thing, because it makes their investments, the companies they've bought into, look even more valuable.Check it out, Company A, which I own shares in, is worth more than it was last month because of all the business it's conducting, and because this other company bought into it at a higher price per share than I paid! Even though that increase in valuation is predicated on circular financing, the numbers still go up, and they go up for everyone involved, so there's little reason to crack down on this not illegal, but shady behavior, and even less reason to want anyone else to know about it, because then they might not add their own money to the circular money-cycling, number-increasing machine.The major concern amongst some analysts right now is that the AI boom, especially in the United States, might be essentially this kind of circular cycle, but much larger than previous versions of the same.In the US right now, investment in AI infrastructure like data centers accounts for a huge portion of overall growth—the numbers vary, depending on who you ask and what numbers they look at, but some say that about 90% of total US economic growth, and around 80% of US stock market growth, are predicated on these sorts of investments this past year. Without these investments, the US economy would be basically flat, or worse, and the US stock market would be flailing as well.This situation isn't ideal whatever the specifics, as too much reliance on just one industry, or one small collection of industries dominated by just a handful of companies and their investors, makes for a precarious financial foundation.If anything goes wrong with just one company, the whole house of cards could collapse. And if anything goes wrong with the industry, things could get even worse, and fast. All that investment, all that construction, all those employees and all that money sloshing around could disappear, could stop being spent, could make all those numbers fall and fall and fall more or less overnight.If this industry is in fact in a bubble, and if it's being propped up by this kind of circular financing, where companies are fluffing up their own and each other's accounting books by rotating the same bundle of money and on-paper money from company to company to company, that would portend pretty bad things for the US economy and market, if anyone involved stumbles, even just a little.This is why recent deals between the biggest players in this space are raising so many eyebrows, and causing so much sweat to bead on so many foreheads.In September of 2025, ChatGPT-maker OpenAI announced it had formalized a $100 billion investment deal with AI chipmaker Nvidia, the latter expanding on its existing investment in the former. In October, OpenAI announced it was purchasing billions of dollars worth of AI hardware from Nvidia-rival AMD, and that it's taking a 10% stake in the company.Microsoft is already heavily invested in OpenAI, to the tune of $13 billion; it takes 49% of OpenAI's profits, and gets more than that until its original investment is paid back. Microsoft also accounted for nearly 20% of Nvidia's annualized revenue, as of the fourth quarter of 2025.Oracle, another computing company which has become hugely influential in this space due to its investment in cloud-based AI datacenters, has a $300 billion deal with OpenAI for future infrastructure buildouts and access, and OpenAI's Stargate datacenter project was co-funded by Oracle and SoftBank. Nvidia also owns part of CoreWeave, which is an AI infrastructure supplier for OpenAI, and which has Microsoft as a massively important customer.All of which is very…tangly. It's an interconnected mess, and OpenAI and Nvidia are at the center of it, but there are a lot of weak spots, threads that, if pulled, would cause the whole thing to unravel. Which is why this feels like such a dangerous setup to many analysts right now.Consider that in 2025 alone, OpenAI has made around $1 trillion-worth of AI deals. A lot of these deals are plans to invest: commitments to buy data center construction or the use of data center bandwidth, or they're financial ties with competitors, clients, and providers—companies that would otherwise be competing with, selling to, and buying from each other, rather than linking arms and creating financial and infrastructural interdependencies.Many of these deals are predicated on debt and what are generally considered to be over-inflated IPO valuations, too: money that isn't money in the traditional, accounting-book sense, in other words. Numbers that make activity, use, and income for these companies look a lot bigger than they concretely are, on balance sheets, which in turn helps their investment numbers go up up up.This dynamic has become overt enough that many of the biggest investors in AI companies, and the heads of said companies, like Sam Altman of OpenAI, have said, outright, that it's probably a bubble, and that a lot of companies will probably go under in the relatively near future. No one knows when, but it's a good thing, they're fond of saying, because that shakeout will kill off the deadweight, allow the survivors to scoop up their former competitors' assets at fire sale prices, and the whole industry will be further centralized around just a handful of the best and the most impactful, just like in the post-dotcom years. Monopolies and mini-monopolies, which, for the people creating and profiting from those monopolies, at least, seems like a good thing.That optimism glosses over what those in-between years look like, though, especially for smaller investors, employees who are laid off, en masse, and the folks who aren't profiting directly from the surviving business entities, and who see their stock portfolios collapse and overall growth in their country decrease.Most of the stories in the tech world right now in some way tie back to the promise and concerns surrounding AI. It's become such a big story because there's a chance it will be the next electricity, but there's also a chance the warning signs we're seeing are real, and things will get a lot worse before they maybe, possibly, for some people, at some point, get better.Show Noteshttps://finance.yahoo.com/news/a-20-billion-clock-is-ticking-for-openai-as-microsoft-talks-turn-fractious-130006071.htmlhttps://www.sfgate.com/tech/article/circular-deals-bay-area-tech-21089538.phphttps://www.theguardian.com/business/2025/oct/08/openai-multibillion-dollar-deals-exuberance-circular-nvidia-amdhttps://www.ft.com/content/950e3a36-7141-4426-b7c5-08fad5d83919https://finance.yahoo.com/news/very-troubling-ais-self-investment-spree-sets-off-bubble-alarms-on-wall-street-160524518.htmlhttps://www.cnbc.com/2025/10/15/a-guide-to-1-trillion-worth-of-ai-deals-between-openai-nvidia.htmlhttps://insights.som.yale.edu/insights/this-is-how-the-ai-bubble-burstshttps://www.bbc.com/news/articles/cz69qy760weohttps://www.nbcnews.com/business/economy/openai-nvidia-amd-deals-risks-rcna234806https://www.bloomberg.com/news/articles/2025-10-08/the-circular-openai-nvidia-and-amd-deals-raising-fears-of-a-new-tech-bubblehttps://flowingdata.com/2025/10/13/circular-deals-among-ai-companies/https://www.nytimes.com/2025/10/07/business/dealbook/openai-nvidia-amd-investments-circular.htmlhttps://sherwood.news/markets/analyst-a-lot-more-disclosure-needed-on-these-circular-ai-deals/https://www.barrons.com/articles/nvidia-microsoft-openai-circular-financing-ai-bubble-5d9a4e7chttps://www.investopedia.com/wall-street-analysts-ai-bubble-stock-market-11826943https://www.goldmansachs.com/insights/articles/ai-may-start-to-boost-us-gdp-in-2027https://finance.yahoo.com/news/most-us-growth-now-rides-213011552.html This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit letsknowthings.substack.com/subscribe

Hey folks, Alex here. Can you believe it's already the middle of October? This week's show was a special one, not just because of the mind-blowing news, but because we set a new ThursdAI record with four incredible interviews back-to-back!We had Jessica Gallegos from Google DeepMind walking us through the cinematic new features in VEO 3.1. Then we dove deep into the world of Reinforcement Learning with my new colleague Kyle Corbitt from OpenPipe. We got the scoop on Amp's wild new ad-supported free tier from CEO Quinn Slack. And just as we were wrapping up, Swyx ( from Latent.Space , now with Cognition!) jumped on to break the news about their blazingly fast SWE-grep models. But the biggest story? An AI model from Google and Yale made a novel scientific discovery about cancer cells that was then validated in a lab. This is it, folks. This is the “let's f*****g go” moment we've been waiting for. So buckle up, because this week was an absolute monster. Let's dive in!ThursdAI - Recaps of the most high signal AI weekly spaces is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber.Open Source: An AI Model Just Made a Real-World Cancer DiscoveryWe always start with open source, but this week felt different. This week, open source AI stepped out of the benchmarks and into the biology lab.Our friends at Qwen kicked things off with new 3B and 8B parameter versions of their Qwen3-VL vision model. It's always great to see powerful models shrink down to sizes that can run on-device. What's wild is that these small models are outperforming last generation's giants, like the 72B Qwen2.5-VL, on a whole suite of benchmarks. The 8B model scores a 33.9 on OS World, which is incredible for an on-device agent that can actually see and click things on your screen. For comparison, that's getting close to what we saw from Sonnet 3.7 just a few months ago. The pace is just relentless.But then, Google dropped a bombshell. A 27-billion parameter Gemma-based model they developed with Yale, called C2S-Scale, generated a completely novel hypothesis about how cancer cells behave. This wasn't a summary of existing research; it was a new idea, something no human scientist had documented before. And here's the kicker: researchers then took that hypothesis into a wet lab, tested it on living cells, and proved it was true.This is a monumental deal. For years, AI skeptics like Gary Marcus have said that LLMs are just stochastic parrots, that they can't create genuinely new knowledge. This feels like the first, powerful counter-argument. Friend of the pod, Dr. Derya Unutmaz, has been on the show before saying AI is going to solve cancer, and this is the first real sign that he might be right. The researchers noted this was an “emergent capability of scale,” proving once again that as these models get bigger and are trained on more complex data—in this case, turning single-cell RNA sequences into “sentences” for the model to learn from—they unlock completely new abilities. This is AI as a true scientific collaborator. Absolutely incredible.Big Companies & APIsThe big companies weren't sleeping this week, either. The agentic AI race is heating up, and we're seeing huge updates across the board.Claude Haiku 4.5: Fast, Cheap Model Rivals Sonnet 4 Accuracy (X, Official blog, X)First up, Anthropic released Claude Haiku 4.5, and it is a beast. It's a fast, cheap model that's punching way above its weight. On the SWE-bench verified benchmark for coding, it hit 73.3%, putting it right up there with giants like GPT-5 Codex, but at a fraction of the cost and twice the speed of previous Claude models. Nisten has already been putting it through its paces and loves it for agentic workflows because it just follows instructions without getting opinionated. It seems like Anthropic has specifically tuned this one to be a workhorse for agents, and it absolutely delivers. The thing to note also is the very impressive jump in OSWorld (50.7%), which is a computer use benchmark, and at this price and speed ($1/$5 MTok input/output) is going to make computer agents much more streamlined and speedy! ChatGPT will loose restrictions; age-gating enables “adult mode” with new personality features coming (X) Sam Altman set X on fire with a thread announcing that ChatGPT will start loosening its restrictions. They're planning to roll out an “adult mode” in December for age-verified users, potentially allowing for things like erotica. More importantly, they're bringing back more customizable personalities, trying to recapture some of the magic of GPT-4.0 that so many people missed. It feels like they're finally ready to treat adults like adults, letting us opt-in to R-rated conversations while keeping strong guardrails for minors. This is a welcome change, and we've been advocating for this for a while, and it's a notable change from the XAI approach I covered last week. Opt in for adults with verification while taking precautions vs engagement bait in the form of a flirty animated waifu with engagement mechanics. Microsoft is making every windows 11 an AI PC with copilot voice input and agentic powers (Blog,X)And in breaking news from this morning, Microsoft announced that every Windows 11 machine is becoming an AI PC. They're building a new Copilot agent directly into the OS that can take over and complete tasks for you. The really clever part? It runs in a secure, sandboxed desktop environment that you can watch and interact with. This solves a huge problem with agents that take over your mouse and keyboard, locking you out of your own computer. Now, you can give the agent a task and let it run in the background while you keep working. This is going to put agentic AI in front of hundreds of millions of users, and it's a massive step towards making AI a true collaborator at the OS level.NVIDIA DGX - the tiny personal supercomputer at $4K (X, LMSYS Blog)NVIDIA finally delivered their promised AI Supercomputer, and while the excitement was in the air with Jensen hand delivering the DGX Spark to OpenAI and Elon (recreating that historical picture when Jensen hand delivered a signed DGX workstation while Elon was still affiliated with OpenAI). The workstation was sold out almost immediately. Folks from LMSys did a great deep dive into specs, all the while, folks on our feeds are saying that if you want to get the maximum possible open source LLMs inference speed, this machine is probably overpriced, compared to what you can get with an M3 Ultra Macbook with 128GB of RAM or the RTX 5090 GPU which can get you similar if not better speeds at significantly lower price points. Anthropic's “Claude Skills”: Your AI Agent Finally Gets a Playbook (Blog)Just when we thought the week couldn't get any more packed, Anthropic dropped “Claude Skills,” a huge upgrade that lets you give your agent custom instructions and workflows. Think of them as expertise folders you can create for specific tasks. For example, you can teach Claude your personal coding style, how to format reports for your company, or even give it a script to follow for complex data analysis.The best part is that Claude automatically detects which “Skill” is needed for a given task, so you don't have to manually load them. This is a massive step towards making agents more reliable and personalized, moving beyond just a single custom instruction and into a library of repeatable, expert processes. It's available now for all paid users, and it's a feature I've been waiting for. Our friend Simon Willison things skills may be a bigger deal than MCPs!

In this deep dive with Kyle Corbitt, co-founder and CEO of OpenPipe (recently acquired by CoreWeave), we explore the evolution of fine-tuning in the age of AI agents and the critical shift from supervised fine-tuning to reinforcement learning. Kyle shares his journey from leading YC's Startup School to building OpenPipe, initially focused on distilling expensive GPT-4 workflows into smaller, cheaper models before pivoting to RL-based agent training as frontier model prices plummeted. The conversation reveals why 90% of AI projects remain stuck in proof-of-concept purgatory - not due to capability limitations, but reliability issues that Kyle believes can be solved through continuous learning from real-world experience. He discusses the breakthrough of RULER (Relative Universal Reinforcement Learning Elicited Rewards), which uses LLMs as judges to rank agent behaviors relatively rather than absolutely, making RL training accessible without complex reward engineering. Kyle candidly assesses the challenges of building realistic training environments for agents, explaining why GRPO (despite its advantages) may be a dead end due to its requirement for perfectly reproducible parallel rollouts. He shares insights on why LoRAs remain underrated for production deployments, why JAPA and prompt optimization haven't lived up to the hype in his testing, and why the hardest part of deploying agents isn't the AI - it's sandboxing real-world systems with all their bugs and edge cases intact. The discussion also covers OpenPipe's acquisition by CoreWeave, the launch of their serverless reinforcement learning platform, and Kyle's vision for a future where every deployed agent continuously learns from production experience. He predicts that solving the reliability problem through continuous RL could unlock 10x more AI inference demand from projects currently stuck in development, fundamentally changing how we think about agent deployment and maintenance. Key Topics: • The rise and fall of fine-tuning as a business model • Why 90% of AI projects never reach production • RULER: Making RL accessible through relative ranking • The environment problem: Why sandboxing is harder than training • GRPO vs PPO and the future of RL algorithms • LoRAs: The underrated deployment optimization • Why JAPA and prompt optimization disappointed in practice • Building world models as synthetic training environments • The $500B Stargate bet and OpenAI's potential crypto play • Continuous learning as the path to reliable agents

Plus: BlackRock's AI consortium acquires Aligned Data Centers in a $40 billion deal. And driverless taxis head to London. Zoe Kuhlkin hosts. Learn more about your ad choices. Visit megaphone.fm/adchoices

Plus: Novo Nordisk takes over a rare blood and kidney disorder drug from Omeros. And Poolside and CoreWeave partner up to build a massive data center in West Texas. Zoe Kuhlkin hosts. Sign up for WSJ's free What's News newsletter. An artificial-intelligence tool assisted in the making of this episode by creating summaries that were based on Wall Street Journrral reporting and reviewed and adapted by an editor. Learn more about your ad choices. Visit megaphone.fm/adchoices

Illinois says it's already facing a $267 million budget shortfall. Crain's reporter John Pletz discusses with host Amy Guth.Plus: Chicago auditor BDO cuts jobs under pressure from Apollo debt and client's collapse, Metra to increase fares to plug budget gap, cash-strapped CPS taps $200 million from credit line, Magnetar sold $1.9 billion in CoreWeave shares as insiders and investors started cashing in. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Carl Quintanilla, Jim Cramer and David Faber led off the show with a look at the big winners during this bull market, which marks its third anniversary this coming weekend. The anchors discussed the future for the Fed: Steve Liesman reports Treasury Secretary Scott Bessent has narrowed down the list of candidates for Federal Reserve chair to five from eleven. Also in focus: A fresh record high for the Nasdaq, "Faber Report" with an update on the Paramount Skydance-Warner Bros. Discovery talks, earnings blues for Levi Strauss, an AI stock soars on the "CoreWeave effect," Cramer previews his big week ahead in San Francisco. Squawk on the Street Disclaimer  Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Lukas Biewald has been shaping the future of AI for nearly two decades. In this episode of The Eric Ries Show, we explore how his early passion for the board game Go, his hard-won lessons as a founder, and his focus on alignment and culture helped him build Weights & Biases into a trusted toolmaker in machine learning.In our conversation, we discuss: • Lessons Lukas drew from Go about pattern recognition, persistence, and the power of computation• The hard-won lessons Lukas took from CrowdFlower about timing, focus, and staying in the wrong role too long• How Lukas created his own unpaid internship at OpenAI to sharpen and expand his technical skills• The pain point that inspired Lukas and his cofounders to build Weights & Biases• Practical ways Lukas kept his board aligned• Why caring deeply about your product and users beats clever hacks and pitch decks every time• How W&B's ‘Year in Review' showed that delight can be a moat in enterprise software• Why the CoreWeave deal feels fundamentally different for Lukas than the sale of CrowdFlower• And much more!—Where to find Lukas Biewald: • LinkedIn: https://www.linkedin.com/in/lbiewald/• X: https://x.com/l2k• Website: https://lukasbiewald.com/—Where to find Eric:• Newsletter:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://ericries.carrd.co/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ • Podcast:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://ericriesshow.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ • YouTube:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.youtube.com/@theericriesshow⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ —In This Episode We Cover:(00:00) Intro(02:05) How Go shaped Lukas's view of AI(08:32) How large language models actually work, and why they still feel mysterious(12:58) Why AI's abilities force us to rethink what intelligence means(14:55) Key lessons from Lukas's time at CrowdFlower(23:59) What Lukas gained from teaching AI and interning at OpenAI(28:28) Weights & Biases initial product(30:06) How Lukas and his cofounders turned a pain point into a company(32:18) What Lukas learned about the reality of raising money(34:30) The non-negotiables in startup building (37:00) Why genuine care outperforms every other growth strategy(39:11) How caring about AI research and delighting users created W&B's moat(43:47) How a contrarian culture helped W&B preserve its ethos as it scaled(47:00) The challenges of being a middle manager and how to identify the right bold ideas(55:07) How Lukas knew W&B had achieved real traction(56:36) How Lukas built alignment and transparency with his board(59:05) Why the acquisition of W&B feels less stressful than Lukas's previous company(1:03:09) Why Lukas believes skepticism about AI is premature—You can find episode references at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.ericriesshow.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠—Production and marketing by ⁠⁠⁠⁠⁠⁠⁠Pen Name⁠⁠⁠⁠⁠⁠⁠.Eric may be an investor in the companies discussed.

In an extended interview, Nvidia CEO Jensen Huang discusses the AI infrastructure landscape and his company's investments in AI projects including OpenAI, xAI, and Coreweave. After leading the chipmaker for decades, Huang shares his perspective on the U.S. position in the AI arms race; China, he says, is not far behind. Plus, Huang weighs in on reports that Oracle is losing money on Nvidia chips, H-1B visas, and President Trump's tech policies. In Washington, CNBC's Emily Wilkins reports on the eighth day of the government shutdown.  Emily Wilkins - 04:53Jensen Huang - 17:15 In this episode:Emily Wilkins, @emrwilkinsMichael Santoli, @michaelsantoliBecky Quick, @BeckyQuickKatie Kramer, @Kramer_Katie Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Nvidia lending billions to OpenAI, xAI and CoreWeave...is the company now propping up demand for its own products? The trade on precious metals as gold and silver both hit new highs. Plus, the state of freight is not that great. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Nvidia may be the most valuable company in the world right now, but it's also becoming the AI industry's preferred lender, with a new investment into xAI on top of its commitments to OpenAI, CoreWeave, and more. But CEO Jensen Huang told CNBC he's only looking for even more.  Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In der heutigen Folge sprechen die Finanzjournalisten Anja Ettel und Holger Zschäpitz über ein Oracle-Beben, eine Tesla-Enttäuschung und eine gekürzte Prognose bei BMW. Außerdem geht es um Seagate, Western Digital, Coreweave, Arista Networks, Vertiv, Dell, Tesla, BMW, Aurubis, Trilogy Metals, Recursion Pharmaceuticals, Absci, Oracle, Pfizer, Biontech, Moderna, AMD, IBM, L&G Pharma Breakthrough UCITS ETF (WKN: A2H9XR), Xtrackers MSCI Genomic Healthcare Innovation (WKN: DBX0R2), Aurubis, IBM, Alnylam, Bristol Myers Squib, Innocare, Incyte und Pharming Group, Lonza, AbbVie, Danaher, Vertex, VanEck Quantum Computing ETF (WKN: A418QM), VanEck Quantum Computing ETF (WKN: A418QM), Rigetti, Quantum Computing, D-Wave, IonQ, WisdomTree Quantum Computing ETF (WKN: A419HV), Alphabet, Honeywell, Microsoft und Deutsche Telekom. Wir freuen uns über Feedback an aaa@welt.de. Noch mehr "Alles auf Aktien" findet Ihr bei WELTplus und Apple Podcasts – inklusive aller Artikel der Hosts und AAA-Newsletter. Hier bei WELT: https://www.welt.de/podcasts/alles-auf-aktien/plus247399208/Boersen-Podcast-AAA-Bonus-Folgen-Jede-Woche-noch-mehr-Antworten-auf-Eure-Boersen-Fragen.html. Der Börsen-Podcast Disclaimer: Die im Podcast besprochenen Aktien und Fonds stellen keine spezifischen Kauf- oder Anlage-Empfehlungen dar. Die Moderatoren und der Verlag haften nicht für etwaige Verluste, die aufgrund der Umsetzung der Gedanken oder Ideen entstehen. Hörtipps: Für alle, die noch mehr wissen wollen: Holger Zschäpitz können Sie jede Woche im Finanz- und Wirtschaftspodcast "Deffner&Zschäpitz" hören. +++ Werbung +++ Du möchtest mehr über unsere Werbepartner erfahren? Hier findest du alle Infos & Rabatte! https://linktr.ee/alles_auf_aktien Impressum: https://www.welt.de/services/article104636888/Impressum.html Datenschutz: https://www.welt.de/services/article157550705/Datenschutzerklaerung-WELT-DIGITAL.html

On this episode of The Six Five Pod, hosts Patrick Moorhead and Daniel Newman discuss the tech news stories that made headlines this week. The handpicked topics for this week are:   AI Developments and Industry News: Recent AI deals going down, including Meta's $14 Billion infrastructure deal with CoreWeave and another deal between CoreWeave and  OpenAI totaling $6 Billion.   Hyperscaler Strategies and Investments: Hosts analyze Meta's investments in AI infrastructure and capacity expansion and discuss hyperscalers' efforts to build their own AI chips versus using merchant solutions.   Microsoft's Commercial Focus: Microsoft appoints Judson Altoff as commercial CEO to emphasize AI in business applications. This move is interpreted as Microsoft's strategy to lead in enterprise software transformation.   Chip Manufacturing and Policy: A discussion on the feasibility of achieving 50% local chip manufacturing in the US and an analysis of the administration's efforts to increase domestic semiconductor production.   Custom vs. Merchant AI Chips Debate: Patrick argues for going all-in on merchant infrastructure for time-to-market advantages. Daniel counters, advocating for hyperscalers to develop custom chips for long-term control and profitability.   Economic and Political Landscape: A discussion on the recent US government shutdown and its immediate impacts. Hosts analyze the recent job market data, including its reliability and the potential effects of AI on employment. For a deeper dive into each topic, please click on the links above. Be sure to subscribe to The Six Five Pod so you never miss an episode.

ICE raided an ASIC repair shop this week, and a look into the crystal ball for Bitcoin's hashrate at the end of the year.Click Here To Join the BitAxe Giveaway! Welcome back to The Mining Pod! Today, Ben Harper from Luxor Technologies joins us to talk about the brutal hash rate environment as hashrate surges past 1 zettahash. For news, we break down ICE's raid on a Bitcoin miner repair shop in Pyote, Texas, Core Scientific's shareholder vote for the CoreWeave acquisition, and Tether's massive 86,000+ BTC treasury.  **Notes:** • Difficulty increased 6%, up 26% over 7 adjustments • Hashrate expected to reach 1.2 zeta by year-end • Core Scientific vote scheduled for October 30th • Tether holds 85,335 BTC worth $10.4 billion • ICE arrested 12-13 undocumented workers at TX ASIC repair shop Timestamps: 00:00 Start 04:27 Difficulty Update by Luxor 06:48 ICE raids ASIC repair shop 11:30 Hashrate Forwards 23:03 End of year Forward projections 25:41 Cleanspark Ad 26:10 Core Sci Update 28:44 Tether holds more BTC than you think

Click Here To Join the BitAxe Giveaway! Welcome back to The Mining Pod! Today, Ben Harper from Luxor Technologies joins us to talk about the brutal hash rate environment as hashrate surges past 1 zettahash. For news, we break down ICE's raid on a Bitcoin miner repair shop in Pyote, Texas, Core Scientific's shareholder vote for the CoreWeave acquisition, and Tether's massive 86,000+ BTC treasury.  **Notes:** • Difficulty increased 6%, up 26% over 7 adjustments • Hashrate expected to reach 1.2 zeta by year-end • Core Scientific vote scheduled for October 30th • Tether holds 85,335 BTC worth $10.4 billion • ICE arrested 12-13 undocumented workers at TX ASIC repair shop Timestamps: 00:00 Start 04:27 Difficulty Update by Luxor 06:48 ICE raids ASIC repair shop 11:30 Hashrate Forwards 23:03 End of year Forward projections 25:41 Cleanspark Ad 26:10 Core Sci Update 28:44 Tether holds more BTC than you think

Justin Nielsen and Mike Webster wrap up the week's market action and discuss key stocks to watch on Stock Market Today. Learn more about your ad choices. Visit megaphone.fm/adchoices

Artificial intelligence spending is hitting epic levels as Big Tech companies shell out for massive data centers to power new chatbots and other AI services. But will the spending--expected to amount to trillions of dollars in the coming years--pay off for investors? This week on our columnists roundtable, business and finance editor Alex Frangos, markets reporter Chelsey Dulaney and senior markets columnist James Mackintosh are joined by Heard on the Street tech columnist Dan Gallagher to discuss the promise of AI. They discuss the major investment deals announced by Nvidia, OpenAI, Oracle, Microsoft and Alphabet and dig into the use of debt to finance growth, including by companies like CoreWeave, which has emerged as a key player in the data-center buildout.  Plus, they separate fact from fiction when it comes to comparisons between AI and the dot-com bubble. And, finally, our panel answers a question from our previous about the tax implications of buying gold. Further Reading Spending on AI Is at Epic Levels. Will It Ever Pay Off? Debt Is Fueling the Next Wave of the AI Boom What the Dot-Com Bust Can Tell Us About Today's AI Boom CoreWeave, Meta Enter $14.2 Billion AI Cloud Infrastructure Deal Nvidia to Invest Up to $100 Billion in OpenAI Nvidia Has a Problem: Too Much Money Oracle Is the New Nvidia, for Better or Worse For more coverage of the markets and your investments, head to WSJ.com, WSJ's Heard on the Street Column and WSJ's Live Markets blog. Sign up for the WSJ's free Markets A.M. newsletter. Learn more about your ad choices. Visit megaphone.fm/adchoices

What history says about the government shutdown—and how to invest. Plus, why gold and Bitcoin are surging… Is Ford (F) a buy? … Forget Nike (NKE)—buy this stock instead… CoreWeave's (CRWV) latest deal... And BlackRock's (BLK) energy investment. In this episode: Next Wednesday: Live with Amir Adnani, CEO of Uranium Energy Corp. [3:03] What history says about the government shutdown—and how to invest [10:51] Why gold and Bitcoin are surging during the shutdown [18:19] Is Ford a buy following its major EV announcement? [21:26] Why I'm cautious on Nike—and a better stock to buy [29:34] What short sellers got wrong about CoreWeave [41:29] BlackRock is the latest Big Money energy investor [46:41] Editor's note: Last week, Frank and Daniel went live to reveal how the AI boom is breaking America's power grid… and how smart investors can turn this crisis into massive gains. (One of their stock picks is already surging!) Did you miss the event? Don't worry! Watch the replay of "AI's Power Crisis: How to Profit Before the Lights Go Out": https://secure.curzioresearch.com/ai-powerplay/event.php?utm_source=Libsyn&utm_medium=251001_cai_ai_energy_crisis_wsu Did you like this episode? Get more Wall Street Unplugged FREE each week in your inbox. Sign up here: https://curzio.me/syn_wsu Find Wall Street Unplugged podcast… --Curzio Research App: https://curzio.me/syn_app --iTunes: https://curzio.me/syn_wsu_i --Stitcher: https://curzio.me/syn_wsu_s --Website: https://curzio.me/syn_wsu_cat Follow Frank… X: https://curzio.me/syn_twt Facebook: https://curzio.me/syn_fb LinkedIn: https://curzio.me/syn_li

A) Three ThingsPfizer Pforced to Lower Prices pfor TrumpRx?CoreWeave and Meta Deal is $14BLess Bankers in the Future?B) From Gold to Greenbacks: How Bretton Woods Cemented the Dollar's ReignC) PIPS Pick Of The Day! Trade while you sleep and across time zones with Arbitrage Trade Assist. Sign up today at ArbitrageTrade.com. Arbitrage Trade is your trusted source for business, finance, and tech info.ArbitrageTrade.com#finance , #investing , #stocks , #forex , #trendingnow Support this show http://supporter.acast.com/arbitrage. Hosted on Acast. See acast.com/privacy for more information.

Erfahre hier mehr über unseren Partner Scalable Capital - dem Broker mit Flatrate und Zinsen. Alle weiteren Infos gibt's hier: scalable.capital/oaws. Spotify-CEOs. Meta kauft bei CoreWeave. Nike-Zahlen. OpenAI vs. Hubspot, Braze, Klaviyo & Docusign. Pfizer macht Trump-Deal. Wolfspeed ist back. NVIDIA auf Rekord. Lufthansa, Asos & Hornbach fallen. Etsy fällt dank OpenAI. DraftKings & Flutter dank Robinhood. Chinesischer Gold-Riese Zijin Gold (WKN: A41KPF) hat gestern IPO gefeiert. Zijin Mining (WKN: A0M4ZR) bleibt Großaktionär. ASML (WKN: A1J4U4) hat SAP wieder als wertvollste Firma Europas überholt. Aber was machen die eigentlich genau? Und was hat das mit Intensität zu tun? Diesen Podcast vom 01.10.2025, 3:00 Uhr stellt dir die Podstars GmbH (Noah Leidinger) zur Verfügung.

Carl Quintanilla, Jim Cramer and David Faber led off the show with President Trump warning of mass federal layoffs if a government shutdowngoes into effect after midnight. On the final trading day of September and Q3, the anchors highlighted the quarter's big winners and the AI trade, including CoreWeave's $14 billion computing power deal with Meta. Jim takes you inside his new book "How To Make Money In Any Market,"which is now on sale. Also in focus: Fed speak on rates and inflation, Spotify falls on CEO changes, how to play the banks.Squawk on the Street Disclaimer Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Spotify founder Daniel Ek is stepping down as CEO to become executive chairman, CoreWeave has announced a $14 billion agreement with Meta to provide computing power, and OpenAI is reportedly developing a new social media app, similar to TikTok. MP3 Please SUBSCRIBE HERE for free or get DTNS Live ad-free. A special thanks to allContinue reading "Spotify Founder Daniel Ek Is Stepping Down As CEO – DTH"

Markets started Tuesday with red across the board but closed the day with gains, even with a likely government shutdown looming over the economy. A.I. stories led trading action, from Nvidia's (NVDA) new all-time high, CoreWeave's (CRWV) 11-digit deal with Meta Platforms (META), and Wolfspeed (WOLF) emerging from Chapter 11 bankruptcy. Marley Kayden takes investors through a busy day that ended the third quarter.======== Schwab Network ========Empowering every investor and trader, every market day.Options involve risks and are not suitable for all investors. Before trading, read the Options Disclosure Document. http://bit.ly/2v9tH6DSubscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribeDownload the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watchWatch on Vizio - https://www.vizio.com/en/watchfreeplus-exploreWatch on DistroTV - https://www.distro.tv/live/schwab-network/Follow us on X – https://twitter.com/schwabnetworkFollow us on Facebook – https://www.facebook.com/schwabnetworkFollow us on LinkedIn - https://www.linkedin.com/company/schwab-network/About Schwab Network - https://schwabnetwork.com/about

En el episodio de hoy de VG Daily, Eugenio Garibay y Andre Dos Santos comienzan analizando los nuevos aranceles impuestos por la administración Trump a la madera, los muebles y la posibilidad de tarifas al cine. Luego abordan el debate en torno al cierre de gobierno en Estados Unidos, explicando las posturas de cada partido y las fechas clave en juego. Finalmente, cierran con la noticia del acuerdo de 14 mil millones de dólares entre CoreWeave y Meta, explicando el papel de CoreWeave en la infraestructura de inteligencia artificial y cómo este movimiento refleja la creciente ola de inversiones en el sector tecnológico.

Oliebedrijven zitten met de handen in het haar. Het lijkt maar niet beter te gaan in hun sector. De olieprijs staat ook nog eens op het laagste niveau in twee maanden tijd. TotalEnergies neemt daarom maatregelen en komt volgens de Financial Times met een besparingsplan van 7,5 miljard dollar. Groot punt: ze gaan beknibbelen op de cadeautjes voor de aandeelhouders. Het aandeleninkoopprogramma wordt teruggesnoeid. Wie volgt er met maatregelen? Gaat het cadeautjesprogramma van Shell er straks aan? Dat zoeken we deze aflevering uit. Dan hebben we ook beter nieuws. Het aantal fusies en overnames trekt eindelijk aan. Na jaren van droogte weten de beursbedrijven elkaar weer te vinden. Dit kwartaal waren al die deals onderaan de streep goed voor meer dan 1 biljoen dollar. En verder hoor je over een domper bij Spotify, een familieruzie die al 23 jaar duurt, een vrouw die vanwege het piepelen van JPMorgan zeven jaar celstraf krijgt... en je komt erachter hoe we Bassie en Adriaan weer eens in de aflevering hebben weten te fietsen. Olé!See omnystudio.com/listener for privacy information.

Is Apple serious about AI now with a new internal model?

In this episode, Mark provides insights into the fast-moving options market for Thursday, September 25th. The show highlights dominant options products from Apple to VIX, examining significant trades and market trends. Key points include VIX's lower than average volume, SPY's explosive activity, SPX closing down slightly, and notable performances in the single names category including Oracle, Core Weaver, MicroStrategy, Palantir, Amazon, Opendoor, Apple, Intel, Tesla, and Nvidia.  00:00 Introduction and Welcome 01:55 Public: Cost-Effective Options Trading 02:39 VIX Market Analysis 03:38 SPY and SPX Market Insights 05:34 Small Caps and QQQ Market Activity 06:52 Single Name Stocks: Oracle, CoreWeave, and More 11:57 Tech Giants: Apple, Intel, and Tesla 14:34 Nvidia and Conclusion --------------------------------------------------------------------- All investing involves risk. Brokerage services for US listed securities, options and bonds in a self-directed brokerage account are offered by Open to the Public Investing Inc, member FINRA & SIPC. Not investment advice. Options trading entails significant risk and is not appropriate for all investors.  Customers must read and understand the Characteristics and Risks of Standardized Options before considering any options strategy.  Options investors can rapidly lose the value of their investment in a short period of time and incur permanent loss by expiration date. Certain complex options strategies carry additional risk, including the potential for losses that may exceed the original investment amount, and are only available for qualified customers.  Index options have special features and fees that should be carefully considered, including settlement, exercise, expiration, tax, and cost characteristics.  See Fee Schedule for all options trading fees. There are additional costs associated with option strategies that call for multiple purchases and sales of options, such as spreads, straddles, among others, as compared with a single option trade. Rebate rates vary monthly from $0.06-$0.18 and depend on the particular security, whether the trade was placed via API, as well as your current and prior month's options trading volume. Review Options Rebate Terms here. Rates are subject to change. Go to public.com/optionsbrief to learn more.

Send us a text00:00 - Intro00:08 - Tether's $500B Valuation00:54 - OpenAI-Nvidia $100B AI Powerhouse Deal02:10 - Stripe BuyBack at $106.7B02:48 - TikTok US Valuation at Only $14B!03:45 - Fermi's $13B IPO for AI Data Center Energy04:18 - 1X Robotics' $10B+ Valuation05:21 - Anthropic for Microsoft AI Copilot05:51 - Databricks-OpenAI $100M Enterprise Pact06:26 - CoreWeave's $6.5B New OpenAI Deal

Carl Quintanilla, Jim Cramer and David Faber led off the show with Intel, one day after the stock jumped 6%. The company has reportedly approached Apple about investing in the troubled chipmaker. President Trump is expected to sign a deal Thursday that would facilitate the sale of TikTok's U.S. operations. Starbucks ramps up its turnaround strategy, disclosing it would cut up to 900 corporate jobs and close a number of locations. Also in focus: Stocks extend losses on tech weakness, Q2 GDP jumps to 3.8%, existing home sales edged lower in August, KB Home's earnings beat,  China's BYD outsells Tesla again in the EU, CoreWeave expands OpenAI pact, CarMax tumbles. Squawk on the Street Disclaimer Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Wall Street retreated for a third straight session as stronger growth figures cast doubt on the likelihood of a November rate cut. The US economy recorded its fastest pace of growth in two years, while Treasuries gained as the data clouded the Fed’s policy outlook. In company news, CoreWeave expanded its deals with OpenAI, while Oracle extended its slide on AI concerns, marking a third day of losses. In commodities, oil pulled back from a seven-week high as investors reassessed the Fed’s rate path. Back home, Aussie shares are expected to open flat on Friday ahead of the AFL Grand Final. The content in this podcast is prepared, approved and distributed in Australia by Commonwealth Securities Limited ABN 60 067 254 399 AFSL 238814. The information does not take into account your objectives, financial situation or needs. Consider the appropriateness of the information before acting and if necessary, seek appropriate professional advice.See omnystudio.com/listener for privacy information.

AI spending is out of control—and it's creating a power crisis… Why Frank is changing his tune on the solar sector… CoreWeave (CRWV) is pulling back—should you buy? … How Alibaba (BABA) went from ecommerce giant to AI leader. In this episode: Happy birthday to my youngest daughter! [1:08] AI spending is insane—but we're far from a bubble [2:49] The AI power crisis is coming… Are you prepared? [7:32] Why I've changed my tune on the solar sector [17:34] CoreWeave is pulling back… Should you buy? [26:17] How Alibaba went from ecommerce giant to AI leader [36:16] Make sure to join us tomorrow for our free live event! [41:09] Editor's note: September 25 at 7 p.m. ET, Frank and Daniel go live to reveal the numbers driving the AI power crisis… share the under-the-radar stocks poised to skyrocket… and answer your most pressing questions during a live Q&A. Save your spot for AI's Power Crisis: How to Profit Before the Lights Go Out here: https://secure.curzioresearch.com/ai-powerplay/waitlist.php?utm_source=Libsyn (Get 3 stock picks FREE when you register!) Did you like this episode? Get more Wall Street Unplugged FREE each week in your inbox. Sign up here: https://curzio.me/syn_wsu Find Wall Street Unplugged podcast… --Curzio Research App: https://curzio.me/syn_app --iTunes: https://curzio.me/syn_wsu_i --Stitcher: https://curzio.me/syn_wsu_s --Website: https://curzio.me/syn_wsu_cat Follow Frank… X: https://curzio.me/syn_twt Facebook: https://curzio.me/syn_fb LinkedIn: https://curzio.me/syn_li

欢迎收听雪球出品的财经有深度，雪球，国内领先的集投资交流交易一体的综合财富管理平台，聪明的投资者都在这里。今天分享的内容叫英伟达的护城河，来自古董鱼。看了一晚上英伟达的护城河，强行洗脑，最后的结论是英伟达不倒，我不撤退，一直AI下去。如果哪天英伟达被颠覆了，别问我还能不能拿，因为那时候我已经跑了。大家都以为英伟达的硬件强，其实它的隐形护城河是计算平台和编程模型加网络。我们来看看英伟达的先发优势与成熟度：他的计算平台和编程模型于 2007 年推出，经过近 20 年的发展，已成为 G P U 计算的行业标准。它积累了超过 400 万开发者，形成了庞大的社区和网络效应。从英伟达的全栈优化与工具链来看，计算平台和编程模型提供了从编译器、调试器到高度优化的核心库的全套工具。这些库经过英伟达的深度优化，能充分发挥其硬件性能，开发者无需编写底层代码即可获得顶尖性能。再从开发习惯与迁移成本来看，计算平台和编程模型广泛纳入大学课程和培训项目，工程师们从小白阶段就开始接触它。企业积累了大量的 CUDA 代码和专业知识，切换到其他平台需要重写代码、重新培训员工，并面临性能不确定的风险，这种切换成本高得难以想象。这种计算平台和编程模型的关键优势之一是，随着时间的推移，它通过新的软件更新不断改进硬件。刚刚对在H100和新的Blackwell GB200 NVL72这两种版本的芯片上运行AI训练进行了基准比较，结果表明了为什么计算平台和编程模型及其软件随着时间的推移的改进如此重要。最新，CoreWeave公司给出的数据，对 NVIDIA GB300 NVL72，进行了基准测试，其每 4x的 G P U 的单位时间内跑AI的速度比16x的H100高6倍，最初可不是这个比值，通过英伟达的计算平台和编程模型的不断优化，最后达到了这个高性能。其实一直有用CUDA转换器的，然而，用过转换器的，他们以大约80%的速度转换CUDA代码，而剩下的20%必须由内核工程师手动完成，这样成本并不便宜。同样有趣的是，虽然其他公司正在结成联盟，为Nv的全栈部分建立替代方案，但是目前没有一个与英伟达竞争的联盟出现。接着是英伟达网络的护城河。关于网络，通常说纵向扩展和横向扩展这两个部分，最近火的scale across先不提了。纵向扩展指的是机架里的 G P U 能够相互连接，形成单个 G P U 节点，并使其尽可能强大。然后，横向扩展网络使这些 G P U 节点能够连接到其他 G P U 节点，并共同形成一个大型 G P U 集群，使用其专有的 N V Link和 N V switches横向扩展时，他们使用从Mellanox收购中获得InfiniBand或以太网作为次要选项。英伟达的其他对手一起搞了个 U A link联盟，它的成员包含了能想到的其他公司。U A link有 A M D 、亚马逊、谷歌、英特尔、Meta、微软、思科、苹果、Astera Labs等公司组成。但它对 A M D 来说很重要，因为与英伟达相比，其最大的缺点之一是网络。网络不仅对培训人工智能工作负载很重要，而且对推理也很重要。随着推理模型的推论变得更加复杂，拥有良好的放大和缩小是关键。同时，为了解决这一挑战，他们希望支持所有可用的替代方案。这就是为什么他们有灵活的输入输出通道。这些灵活的输入输出通道使A M D能够支持不同的标准。虽然 U A Link还很年轻，但它已经遇到了很大的挫折。起初，博通是参与的关键公司之一，但后来退了。这是一个重大的挫折，因为 A M D 现在必须依靠AsteraLabs和Marvell来生产 U A Link联盟的交换机，而 U A Link交换机要到2027年才能准备就绪。这就是为什么我们可以看到，虽然 A M D 的MI400x显卡有 U A Link Serdes，但它并没有构成一个完整的扩展网络。不过，英伟达不仅仅是在关注这一发展，因为在UALink 1.0发布一个月后，他们宣布了NVLink Fusion，从纸面上看，它打开了NVLink生态系统。这对英伟达来说是一大步，因为一位前英伟达高级员工解释说，在内部实施这一步骤是多么具有挑战性，因为Meta想在他在那里工作时将 N V Links用于他们的MTIA，而英伟达的回答是坚定的“不”。NVLink 技术模块是用英伟达自家独有的方式和芯片传递数据的，其中一部分技术至今还是英伟达独有的。有了这套技术，英伟达只能让客户用他们的芯片间连接技术。现在客户也意识到了这一点，就像那位前英伟达员工提到的，他们担心这样一来，就算自己有定制的专用芯片ASIC，也会进一步被绑在英伟达的生态系统里 ，所以 U A Link到现在依旧是个替代选择。英伟达和 U A Link这边，有个关键角色是 Astera Labs公司 —— 毕竟现在博通已经自己单干、走自己的技术路线了。现在 U A Link联盟得靠 Astera Labs 来提供交换机。英伟达很清楚Astera Labs现在是 U A Link联盟里的核心部分，可能会想办法促使Astera Labs订购更多英伟达的 NVLink Fusion；而一旦Astera Labs用了NVLink Fusion，他们能为 U A Link服务的能力就会受限，至于这么做最终能不能帮到英伟达，还得靠时间来验证。在横向扩展方面，英伟达的InfiniBand网络技术，有个替代方案是支持远程直接内存访问的以太网。英伟达也支持这个替代方案，但只把它当作“次要选项”，英伟达甚至还有个 Spectrum X 以太网平台，因为他们通过收购，拿到了Spectrum系列交换机的技术和产能。很多大型科技公司也支持以太网，原因很实在：它成本更低，早就广泛用在数据中心里，而且有多家供应商可选。现在支持 RDMA 的以太网已经获得了不少采用度，因为大型科技公司和Meta这类企业，都愿意用它来减少对英伟达的依赖。不过，此前我们虽已探讨过纵向扩展和横向扩展软件与网络这两个核心层面，但还有一个新的关键层面才刚刚兴起，那就是HBM，高带宽内存。作为人工智能加速器的核心组件之一，HBM的重要性会随着AI模型向更大规模、更复杂结构发展，而愈发凸显。目前，海力士与美光是 HBM3 内存的主要供应商，不过三星预计也将完成相关认证流程，加入 HBM3 的供应体系。当向HBM4内存过渡时，将迎来一项关键变革：HBM4 的基础芯片晶圆需采用先进的逻辑芯片制造工艺。这意味着海力士与美光无法独立完成，必须将制造环节外包给台积电；同时，这些内存厂商还需与逻辑芯片设计公司或技术授权商展开合作，方能完成它的设计工作。这一变革为 “定制化 HBM 内存方案” 创造了空间，但反过来也意味着，HBM4的利润需与台积电共享一部分 —— 毕竟其制造环节高度依赖台积电。此外，HBM4 的复杂度远高于HBM3，需将内存厂商的芯片堆叠技术与代工厂的先进制造工艺相结合，这种局面实际上对英伟达更为有利，因为英伟达此前已计划自主设计HBM4的 3 纳米芯片裸片。事实上，我并不担心专用芯片ASIC会侵占过多市场份额。多数云服务提供商选择自主研发芯片，主要源于英伟达的市场垄断与显卡产能不足 —— 这实属无奈之举，他们为了更快获取可用算力，才不得不走上自主研发之路。此次英伟达发布的 Rubin 系列 CPX 产品，核心目标便是提升 AI 的上下文推理能力。在我看来，推理领域真正的领先者，并非 ASIC 这类专用推理芯片，仍属英伟达的产品。另有一项关键问题不容忽视：数据中心可使用的电力存在限制，尤其在北美地区，电力更是必须重视的硬性约束。为何 X AI 公司能在 122 天内建成全球规模最大的算力中心？一方面，马斯克拥有全球顶尖的工程团队与执行能力；更重要的是，X AI所能获得的供电支持，在全球范围内也处于顶尖水平。当你运营现有数据中心，或计划新建数据中心时，需与电力公司合作确定固定的电力使用额度，而这一额度具有明确上限 —— 你无法随意致电电力公司，提出 “需额外增加 10% 电力” 的需求。若我们对比英伟达当前一代与下一代服务器，那么在评估H100与GB300服务器时，核心衡量标准应是 “处理同等数量的令牌时，可节省多少电力”。而英伟达每次产品更新，实际上都在推进这项电力效率优化工作。所以，我想说的是英伟达的手里牌很多，老黄这个人能力强的可怕，就算现在出来ASIC和其他 G P U 竞争对手，都是更多跟随和模仿，对所有在供应链做硬件的公司都是利好，因为总的需求变多了，可以说遍地开花。

NVIDIA is doubling down on AI dominance with massive investments across cloud, chips, and infrastructure. It struck a $6.3B deal with CoreWeave to secure long-term GPU demand, is investing $5B in Intel to co-develop custom CPUs and PC chips that pair Intel processors with NVIDIA GPUs, and is committing up to $100B with OpenAI to build data centers requiring 10 gigawatts of power. These moves lock in demand, expand NVIDIA's role across computing ecosystems, and cement its leadership in the race to scale global AI infrastructure. This and more on the Tech Field Day News Rundown with Alastair Cooke and guest host Scott Robohn. Time Stamps: 0:00 - Cold Open 0:36 - Welcome to the Tech Field Day News Rundown1:22 - Hugging Face Brings Open-Source Models to GitHub Copilot Chat3:52 - Pulumi Introduces AI Agents to Automate Infrastructure Management6:51 - Cisco DevNet is now Cisco Automation 9:12 - North Dakota to Test Portable Micro Data Centers for AI in Oil Fields12:14 - Sumo Logic Launches AI Agents to Streamline Cybersecurity Operations14:46 - Justice Department Moves to Break Up Google's Ad Business17:43 - NVIDIA's Multi-Billion-Dollar Moves Expand AI and Computing Leadership21:35 - The Weeks Ahead22:58 - Thanks for Watching the Tech Field Day News RundownGuest Host: Scott Robohn, CEO of SolutionalFollow our hosts ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Tom Hollingsworth⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Alastair Cooke⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Stephen Foskett⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Follow Tech Field Day ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠on LinkedIn⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠X/Twitter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Bluesky⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, and on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Mastodon⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.

CoreWeave (CRWV) is up over 200% since its trading debut in March, but its meteoric rise has some investors questioning whether the AI software company is due for a correction. Bob Lang bullish on CRWV, citing its strong chart and significant runway for growth. However, Lang also highlights potential concerns around customer concentration and capital needs, as well as the company's significant scaling expenses and R&D investments. Despite these risks, Lang sees opportunities for growth in the broader AI ecosystem. Lang shares two options strategies for CRWV.======== Schwab Network ========Empowering every investor and trader, every market day.Options involve risks and are not suitable for all investors. Before trading, read the Options Disclosure Document. http://bit.ly/2v9tH6DSubscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribeDownload the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watchWatch on Vizio - https://www.vizio.com/en/watchfreeplus-exploreWatch on DistroTV - https://www.distro.tv/live/schwab-network/Follow us on X – https://twitter.com/schwabnetworkFollow us on Facebook – https://www.facebook.com/schwabnetworkFollow us on LinkedIn - https://www.linkedin.com/company/schwab-network/About Schwab Network - https://schwabnetwork.com/about

Bullish expectations from analysts pushed CoreWeave's (CRWV) stock higher on Tuesday's session. Wells Fargo says the company has grown "too big to ignore," while Melius Research says cloud's industry growth makes CoreWeave attractive to other companies building out their A.I. infrastructure. Marley Kayden turns to the analyst notes and explains the details driving their sentiment. Tim Biggam later offers an example options trade for CoreWeave.======== Schwab Network ========Empowering every investor and trader, every market day.Options involve risks and are not suitable for all investors. Before trading, read the Options Disclosure Document. http://bit.ly/2v9tH6DSubscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribeDownload the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watchWatch on Vizio - https://www.vizio.com/en/watchfreeplus-exploreWatch on DistroTV - https://www.distro.tv/live/schwab-network/Follow us on X – https://twitter.com/schwabnetworkFollow us on Facebook – https://www.facebook.com/schwabnetworkFollow us on LinkedIn - https://www.linkedin.com/company/schwab-network/About Schwab Network - https://schwabnetwork.com/about

Carl Quintanilla, Sara Eisen, and David Faber discussed the latest on the Fed front - amid a slew of speaking engagements from FOMC members today and this week... and a divergence grows between market expectations and Fed targets. Interactive Brokers' Chief Strategist Steve Sosnick and market veteran Rebecca Patterson joined the team with their volatility playbooks - before the team took a look at one beaten down sector that could be worth buying here.  Also in focus: has the AI trade peaked? Hear a fresh read on demand from the CEO of CoreWeave - fresh off a $6B deal with Nvidia... And more on what to do with Oracle shares, as Safra Catz moves from CEO to Executive Chair - and the company names 2 new CEOs. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Why the Fed doesn't care about inflation—for now… and how it's creating a goldilocks environment for asset prices. Plus, President Trump wants semiannual reporting—is it a good idea? … And the CoreWeave (CRWV)/Nvidia (NVDA) deal. In this episode: Is today's interest rate cut already priced in? [2:10] Why the Fed doesn't care about inflation—for now [8:46] We're in a goldilocks environment for asset prices [17:13] President Trump wants semiannual reporting—is it a good idea? [23:01] The smartest business decision I ever made [36:39] When AI companies go public, it's a red flag… [38:35] CoreWeave's deal with Nvidia just upended the short report [40:17] Join us for our upcoming live event on the AI power crisis! [44:29] Editor's note: Next Thursday at 7 p.m. ET, Frank and Daniel go live to reveal the numbers driving the AI power crisis… share the under-the-radar stocks poised to skyrocket… and answer your most pressing questions during a live Q&A. Save your spot for AI's Power Crisis: How to Profit Before the Lights Go Out here: https://secure.curzioresearch.com/ai-powerplay/waitlist.php?utm_source=Libsyn (Get 3 stock picks FREE when you register!) Did you like this episode? Get more Wall Street Unplugged FREE each week in your inbox. Sign up here: https://curzio.me/syn_wsu Find Wall Street Unplugged podcast… --Curzio Research App: https://curzio.me/syn_app --iTunes: https://curzio.me/syn_wsu_i --Stitcher: https://curzio.me/syn_wsu_s --Website: https://curzio.me/syn_wsu_cat Follow Frank… X: https://curzio.me/syn_twt Facebook: https://curzio.me/syn_fb LinkedIn: https://curzio.me/syn_li

Lisa Martin gives her insight into all things tech, starting with clearing dialogue surrounding the TikTok trade talk conundrum and the U.S. goal to chip away Chinese ownership. She notes headwinds ahead for Nvidia (NVDA) as it tackles antitrust conflict in China, though CoreWeave's (CRWV) $6.3 billion contract with the chipmaking giant adds to its strength. On Tesla (TSLA), Lisa shares how the Mag 7 company is positioning itself as an A.I. and autonomous driving firm.======== Schwab Network ========Empowering every investor and trader, every market day. Subscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribeDownload the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watchWatch on Vizio - https://www.vizio.com/en/watchfreeplus-exploreWatch on DistroTV - https://www.distro.tv/live/schwab-network/Follow us on X – https://twitter.com/schwabnetworkFollow us on Facebook – https://www.facebook.com/schwabnetworkFollow us on LinkedIn - https://www.linkedin.com/company/schwab-network/ About Schwab Network - https://schwabnetwork.com/about

Are you looking to save time, make money, and start winning with less risk? Then head to https://www.ovtlyr.com.Markets are heating up with massive headlines, and today's video covers the biggest movers you need to know about. From Tesla's billion-dollar insider buy to Opendoor's explosive short squeeze and Nvidia's multibillion-dollar AI contract, we're diving deep into what these moves mean and how they connect to the broader market. Along the way, we'll look at commodities, sector trends, and the trading plan for the day, so you know exactly where to focus.The excitement is everywhere right now. The Dow, S&P, and Nasdaq are all pushing higher, gold is exploding past levels most didn't think possible, silver is surging, and oil and natural gas are climbing too. Everywhere you look, assets are breaking out. But the big question is whether this rally is sustainable—or if it's just another setup for a reversal.Here's what you'll learn in this video:➡️ Tesla's $1B insider buy: Elon Musk just bought 2.5 million shares of Tesla, signaling massive confidence. We break down what this means for the stock's trend, order block resistance, and whether that $700 price target is realistic.➡️ Opendoor short squeeze: The stock has skyrocketed over 50% in days, but history suggests these parabolic moves rarely last. Learn the 50/80 rule, why meme-stock momentum is dangerous, and how to protect yourself from giving back gains.➡️ Nvidia's $6.3B AI contract: Nvidia just signed a huge deal with CoreWeave that could reshape demand for AI infrastructure. But order blocks and technical signals show caution may still be needed in the short term.➡️ Commodity surge: Gold, silver, oil, and natural gas are all climbing fast. We'll cover what's driving the breakout and how these moves tie back into inflation, rate cut expectations, and market psychology.➡️ Breadth warning signs: Even as the S&P hits new highs, market breadth is flashing red. Fewer stocks are participating in the rally, creating dangerous divergences that could signal a pullback.➡️ Sector rotation: The only bullish sector right now is utilities, a classic “safety trade.” Learn why that shift is a warning sign for risk assets.➡️ Today's trading plan: With OVTLYR's Nine showing mixed signals, the smart move may be to sit in cash and wait for better setups. Discipline and patience are the edge.The key takeaway is that even in a market full of excitement, discipline matters more than hype. Tesla may be breaking headlines, Opendoor may be trending on Reddit, and Nvidia may be winning billion-dollar contracts, but if breadth is weak and only defensive sectors are leading, risk is higher than it looks. That's where following structured rules and tools like OVTLYR can keep you ahead of the curve.If you want to trade smarter, not harder, this breakdown will help you cut through the noise and focus on the signals that actually matter.Gain instant access to the AI-powered tools and behavioral insights top traders use to spot big moves before the crowd. Start trading smarter today

Discord Channel: https://discord.gg/pqKsMKp6SA The spotlight is on Cupertino! On today's show, we'll break down the latest Apple event and discuss what it means for the company's future profits, innovation strategy, and stock performance. Is this another game-changer or just incremental upgrades? We'll dig into the details. We'll also cover:

Oracle delivers a stunning blowout quarter driving tech stocks higher. We bring you instant analysis. Apple's iPhone event takeaways with Patrick Moorhead from Moor Insights and DA Davidson's Gil Luria. Exclusive interviews dominate the lineup: Chime CEO Chris Britt discusses fintech growth, Goldman Sachs Global Institute Co-Head George Lee shares insights from Communicopia, and CoreWeave CEO Mike Intrator talks AI demand. Rubrik CEO Bipul Sinha discusses earnings results and a key recent acquisition. Interactive Brokers Chief Strategist Steve Sosnick examines retail trading trends.

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On today's roundup, we have an ASIC market update from Luxor, plus American Bitcoin's debut on public markets and why one investor wants to put the freeze on the Core Scientific-CoreWeave deal. Get the headlines that matter, right when they hit the wire: Join our Telegram group for market moving news on top Bitcoin equities like $MSTR, $MARA, $RIOT, $CLSK, and more:  https://t.me/blockspacenews Welcome back to The Mining Pod! Today, Colin and Will with Luxor's ASIC Trading Desk Senior Account Manager Sarah Tang about the ASIC market landscape, including how tariffs are impacting pricing, demand, and futures orders, plus the most popular ASIC models currently. For news, they cover American Bitcoin's volatile Nasdaq debut, JonesResearch pumping the brakes on its IREN rating, and Core Scientific's largest active investors imploring others to vote no on the CoreWeave acquisition. Subscribe to our newsletter!  **Notes:**     50 % tariff on Chinese rigs     22 % tariff on SE Asian rigs     Difficulty target  for 1 ZH/s = 139.7 T hashes     Hash price ≈ $53.8 /TH/day     American Bitcoin surged to $13/share, fell to $6.38 Timestamps: 00:00 Start 02:17 Difficulty Report by Luxor 04:33 American Bitcoin public listing 07:10 ASIC prices 17:10 Cleanspark 17:39 Jones Research downgrades IREN 22:50 Cry Corner: Two Seas Capital

Get the headlines that matter, right when they hit the wire: Join our Telegram group for market moving news on top Bitcoin equities like $MSTR, $MARA, $RIOT, $CLSK, and more:  https://t.me/blockspacenews Welcome back to The Mining Pod! Today, Colin and Will with Luxor's ASIC Trading Desk Senior Account Manager Sarah Tang about the ASIC market landscape, including how tariffs are impacting pricing, demand, and futures orders, plus the most popular ASIC models currently. For news, they cover American Bitcoin's volatile Nasdaq debut, JonesResearch pumping the brakes on its IREN rating, and Core Scientific's largest active investors imploring others to vote no on the CoreWeave acquisition. Subscribe to our newsletter!  **Notes:**     50 % tariff on Chinese rigs     22 % tariff on SE Asian rigs     Difficulty target  for 1 ZH/s = 139.7 T hashes     Hash price ≈ $53.8 /TH/day     American Bitcoin surged to $13/share, fell to $6.38 Timestamps: 00:00 Start 02:17 Difficulty Report by Luxor 04:33 American Bitcoin public listing 07:10 ASIC prices 17:10 Cleanspark 17:39 Jones Research downgrades IREN 22:50 Cry Corner: Two Seas Capital

In this episode of Market Mondays, we reflect on our experience in West Africa and discuss the powerful investment and business opportunities emerging across the continent. From infrastructure to entrepreneurship, the future of Africa is being built—and we're seeing it firsthand. We also break down how the latest U.S. job report numbers have negatively impacted the markets, and what investors should prepare for next.We give our analysis on three major companies—CoreWeave, Figma, and Terawulf—following their IPOs, and we each reveal the most disappointing and most surprising stocks of the year so far. Ms. Business joins us to drop gems on marketing, branding, taxes, and what she's bringing to the Invest Fest 2025 stage. Plus, we cover the latest changes to 529 education savings plans and offer practical advice for beginner traders just starting their financial journey.Jay Jacobs, U.S. Head of Equity ETFs at BlackRock, also joins the show to give us a preview of what iShares by BlackRock is bringing to Invest Fest 2025. From two hands-on ETF education workshops to in-depth discussions on investing for retirement, AI, bitcoin, and shifting global markets—this is a must-watch for anyone looking to level up their investment game.Invest Fest Ticket Link (code CPA for 50% off 100 tickets and 10 Vendor Booths): https://investfest.com #MarketMondays #InvestFest2025 #AfricaRising #Coreweave #Figma #Terawulf #MsBusiness #iShares #BlackRock #StockMarket #Investing #529Plans #TradingTips #ETFs #Bitcoin #AIInvesting #FinancialLiteracy #EarnYourLeisureOur Sponsors:* Check out PNC Bank: https://www.pnc.comSupport this podcast at — https://redcircle.com/marketmondays/donationsAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy