Podcasts about Blackwell

Send us a textIn Episode 237 of Book Talk Etc., Tina and Hannah share the February releases currently on their reading radars.If you enjoy our commercial-free podcast, consider supporting us on Patreon! Your membership includes access to bonus episodes like What's in the Mailbag and Book Talk After Dark, invites to monthly community events like Mood Reader Happy Hour, and entry into our private Facebook group and Discord server—all for just $5 a month.Loving LatelySkylight Calendar (T)Crayola Light Up Tracing Pad (H)Latest ReadSkylark | Paula McClain (T+H)Books on the RadarGood People | Patmeena Sabit (T)The Secret Snow | Tina Harnesk (H)Murder Bimbo | Rebecca Novack (T)The Fourth Princess | Janie Chang (H)Family Drama | Rebecca Fallon (T)She Made Herself a Monster | Anna Kovatcheva (H)The Shape of Dreams | April Reynolds (T)How to Get Away with Murder | Rebecca Philipson (H)Other Links & Books MentionedKin | Tayari JonesCurrent ReadMy Darkest Prayer | SA Cosby (T)Every Day I Read: 53 Ways to Get Closer to Books | Hwang Bo-reum (H)If you prefer other shopping options, you can find today's books on Bookshop.org or Blackwell's. Purchasing through these links supports us with a small commission, at no extra cost to you.Support the showLet's Connect... Email us at booktalketc@gmailBTE on YoutubeTina's TikTok , IG @tbretc YT @tbretcHannah's TikTok , IG @hanpickedbooksJonathan IG @infiltrate_jayPodcast IG @booktalketcRenee's Substack Newsletter , IG@Itsbooktalk

This week in If You Mark In Your Bible; Josh and Brandon discuss 1 Peter 2:9-12.We look forward to sharing new episodes EVERY TUESDAY (January - May)! https://linktr.ee/iymiyb?utm_source=linktree_profile_share<sid=0d7a0387-1b92-46dd-b269-fb20acd2d51c CHECK OUT IF YOU MARK IN YOUR BIBLE Social Pages and more!

The key to pursuing happiness is living an intentional life. What do I want to achieve? What do I oppose?Steve is an adjunct professor at Emory University and the Founding Director of the Alabama Civil Liberties Union. His new memoir, out today, is What's In a Family Name: A Southern Family History Becomes a Gothic Mystery. Here's the description:When Steve Suitts undertakes a family research project he uncovers a real-life, true crime, southern Gothic mystery. Ambition, sex, lies, and betrayal. And it all takes place in the Free State of Winston in north Alabama.And here is the book trailer I put together for Steve:You can buy the book here at Bookshop.org and here on Amazon. Steve's website is here.In this conversation Steve and I talk:* The moment Steve realized he had a book* Giving a speech opposing the Ku Klux Klan as a high school student* Reclaiming history* The story of James Monroe Blackwell, Steve's great-great-grandfather, who opposed the Confederacy during the Civil War* His research and writing processHere is an AI generated transcript. Don't come for me.Here is the cleaned and corrected transcript. I have fixed the formatting, corrected the phonetic misinterpretations (like “Free State” instead of “three state” and “progeny” instead of “GY”), and smoothed out the stuttering for readability.Transcript: Interview with Steve SuittsBEN: So Steve, your memoir, What's in a Family Name? A Southern Family History Becomes a Gothic Mystery, comes out today, Tuesday, January 27th. How are you feeling?STEVE: I'm feeling like someone who's waiting to hear what their neighbor's baby is gonna be called.BEN: At what point did you realize this story would make a good book?STEVE: I think the inkling of it was when I discovered that not only was my grandmother's version of my family history on my father's side a fiction, but that it didn't even begin to tell the story. And that point was when I discovered that the person I thought was my grandfather could not biologically be my grandfather, since my father was born at least a year and a half after his death.BEN: The evidence strongly suggests your biological grandfather was actually B.H. Drake, a prominent, wealthy merchant in Winston County. That's right. Why do you think the Drake family and the community worked so hard to erase Anna, your grandmother, and her son, your father, from the official record after B.H. married Anna?STEVE: This is all speculation, but I think there were probably two reasons. The first was simply a matter of embarrassment. Here was a man who was a representative of the local Baptist church at the State Baptist Convention. He gave the land on which the local Baptist church was built. His family was very deeply involved in the Baptist Church, and I think the evidence is that he probably began his affair with my grandmother before he was actually divorced from his first wife. So I think there was a real embarrassment about that in a small-town community.The second is, of course, that he died, and as a wealthy man. By law, she should have been one of the heirs of his estate, because at the time of his death, all evidence points to the fact that they were still married—although they may have, by that time, returned to his first wife's estate. So I think that there was this financial interest, that they would want to keep it quiet.I don't think there was a great deal of complicity on the part of the broader community, but it was just something that happened. And in the community, I think like most small towns, these things did happen and most small towns knew about it, but simply let it play out on its own terms.BEN: You devote part of the book to your great-great-grandfather, James Monroe Blackwell, who was a “scalawag,” or Southerner loyal to the Union. You mentioned that he was threatened with hanging for supporting Lincoln. He named his son after President Lincoln, and this is during the time of the Civil War. Why does his story resonate so much with you?STEVE: When I was in high school in Florence, Alabama, on the Tennessee River, I was a member of the student council, got elected, and I was asked at various times to give speeches at assemblies of the school. One of the speeches I gave was during 1964 or ‘65, and it was essentially an attack on the Klan—the Ku Klux Klan.I don't remember the entire speech, but I do remember saying that the Klan had to understand that Halloween came only once a year, and even then, when you wore a mask, you were not allowed to harm people anonymously. And that the Klan was a group who masqueraded without any courage of showing themselves to the public.I also remember that my teachers on that day kept me late at school. For some reason I did not understand until later in life, one of them drove me home that day rather than letting me walk by myself.So I came to those views for a variety of reasons. But when I discovered that I had an ancestor who not only supported the Union during the war over slavery, but who also supported the reconstruction of the South on the terms that the Congress established in the aftermath of the Civil War... I realized that I wasn't the first in my family to believe in the kind of equal treatment under the law that I was espousing as a high school student.And later, going on to work with the American Civil Liberties Union affiliate in Alabama—where we did more litigation relating to equal treatment under the law as we did the First Amendment—it was a moment in which I realized that whatever bloodlines do in this world for families, I wasn't the first. And Lord have mercy, I hope I'm not the last.BEN: When you were young, did you hear stories about James Monroe Blackwell, or did you only discover this history later?STEVE: I discovered this history later. No one talked about it. My great uncle—my grandmother's brother—Uncle Wesley, used to talk about why we were Republicans in the family, but he never talked about James Monroe Blackwell. No one did. Not even my grandmother, who I think probably had mixed up fact and fiction so much by the time she told me the story about our family history that she might have put him on the wrong side of the Civil War, after all.BEN: At the end of the book, you write about the idea of reclaiming history—both with Blackwell and with your grandmother and the Drake family, your great-grandmother, and the decisions that she made to protect her family. Can you talk about that motivation of reclaiming history and what that means to you?STEVE: Yeah. I think we all are trying to find our place in the world, but the Faulkner concept that the past is not really the past essentially means that, in finding our place in the world, we also have to know who we were in our past, where our family fit in, where we came from. It's a very Southern notion, but I think it's a universal one as well.Reclaiming the history, I think, means that we're trying to understand where we came from and, by that measure, where we're going in our lives. One of the things the book jacket says is that this is a story that no family wanted to remember, and a family too proud of its history would always want to forget.And I think for me, reclaiming history is a matter of not trying to reconstruct it or trying to hide it. It's trying to simply say: this is where my family has been, this is who we have been. And it doesn't predict who I'm going to be and what I'm going to be, but it gives me a way in which to frame who I am and how I'm gonna go forward.And for those who read the book, you won't be surprised to realize that I have tried very hard in my life to not be the person my father was. I've made a very deliberate and very conscientious effort. Whether I've succeeded or not, only my sons and descendants will be able to say, but that's part of reclaiming your history. Look at the word: his-story. That's what history is. And part of that history is you at that moment, and you can either continue that history or you can break with it.BEN: But I'll note... how much do you think people are shaped by their environment, by their family history? And I ask because I think you're an example of someone who grew up in a conservative political environment. Like you said, one of the teachers had to drive you home after giving your Ku Klux Klan Halloween speech. Personally, as you write about in the introduction, your father was at best difficult—I think accurately described as abusive. And yet you... I don't know if “rejected” is the right word, but you are a different person than those two different environments would most likely produce.STEVE: I think the key to the pursuit of happiness—as our Declaration of Independence says—in my judgment, is enabled only by having an intentional life. A life in which you say: Why am I here? What do I want to achieve? What do I want to oppose? What do I want to support? Simply have a sense of intent about how you frame your life.Now, obviously, everybody knows that we have to earn a living. Sometimes the jobs we get aren't always the jobs we may have wanted earlier in life. It may be difficult, may have other problems. But generally, it is one where you have to simply live an intentional life, trying to have goals—whether the goals drive out of your reading of the Bible, or whether they're from great philosophers, or simply out of the sense of what you think is right and wrong.And I think the discussion about nurture and nature is one that will continue to be unresolved. In that competition between which is more important, your lineage or your environment, there is, I think, something which some religious teachings call free will. Perhaps it's not as free as some might think, but you have choices to make.When I was reading the first Harry Potter books with my family—the boys were small and they were devouring those books—I was reading along. And the school superintendent, Dumbledore, makes a statement to Harry Potter in which he says, essentially: “Harry, we are the choices we make.” And at that point I said out loud, “Yeah!” And of course, the boys thought I was talking about who had won the Quidditch match in the book.But therein lies, I think, my sense of what it's all about. You make choices. And while those choices may inhibit others and they may open up others, you are those choices, and you need to make them with an intent of what you want your life to be. So that's my view.BEN: What was the process of writing this book like?STEVE: I did most of the research before I even began putting anything down on paper. That's not usually the way I write books. I usually have a lot of research already done, but you still have to go back in and answer questions as the writing process occurs. In this case, all of the research was virtually done before I started writing. So it really was a more reflective process than a fact-finding process for me.I have a friend, Jack Drake, who's a great civil rights lawyer and now retired, who has a memoir coming out that's gonna be a very important one about somebody who grew up as a white Southern boy dealing with the issues of race in the Deep South. Jack says he thinks the best way to figure something out is to write about it. And there's a lot of truth in that, if you're writing honestly.And I think in this case, the writing process finally brought home both the sense of villainy that's in the story I tell, and also some sense of pride in the honesty and the good character of people who are also members of my family, whose surname I carry and whose progeny I am.BEN: So the book comes out today. Where can people buy it and where can people find more information about you?STEVE: The book is available at any of the major online booksellers. You can go to Bookshop, which is an online store for independent bookstores, but Amazon, Barnes and Noble, Books-A-Million, or whatever online bookseller is out there.It hopefully is at a price that you can afford. It's a book that I think everyone, hopefully, will be able to read and prompt their own interest in their own family history.BEN: And if people want to keep up with you and learn more about you, where can they find you?STEVE: I now have a website and it is aptly called SteveSuitts.com. That's S-T-E-V-E-S-U-I-T-T-S dot com.BEN: The book is What's in a Family Name? A Southern Family History Becomes a Gothic Mystery. Comes out today, available everywhere. That's a fantastic book. I encourage you to get it and urge you to visit Steve's website and keep up with what he's doing. Including... Steve, are you working on another book?STEVE: I am. Actually, the next book is also going to be set in Winston County, Alabama—the Free State. And it's going to be about the history of the county, race relations, and centered especially on a single Black school that operated for more than 40 years in Haleyville in a one-room church chapel. I look forward to finishing it and then moving on to the second volume of my trilogy of Justice Hugo Black of Alabama. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit benbo.substack.com

The No BS Cookbook series keeps gaining traction, especially after we introduced the holiday edition that strips away everything but what really works in home kitchens. Folks are loving the practical tips, the creativity sparked by the painter-friendly watercolor prints, and the custom blends that make seafood and holiday classics pop without any fuss.Become a supporter of this podcast: https://www.spreaker.com/podcast/arroe-collins-unplugged-totally-uncut--994165/support.

Send us a textOn the Season Seven kickoff of the Stories to Create Podcast, Cornell Bunting sits down with Bryan Blackwell, a longtime Southwest Florida resident who has proudly called Lee County home for over 35 years.Bryan spent more than two decades building and successfully selling a Financial Services practice in Fort Myers, Florida. Community involvement played a major role in that success, as Bryan consistently invested his time, treasure, and talent into local organizations, partnerships, and civic leadership—including running for the Florida State House of Representatives in 2020.A veteran of the United States Marine Corps and the Florida Army National Guard, Bryan has earned multiple honors for his service, including the Navy Commendation Medal.Now embracing his entrepreneurial spirit in a new chapter, Bryan joins the show to share how he's applying a lifetime of experience in business, management, capital, financial strategy, and marketing to the cattle industry. Partnering with family members who bring generations of expertise in beef production, Bryan is helping make healthy, American, pasture-raised beef accessible directly to people's doorsteps.In this episode, Bryan opens up about the lessons learned along the way, the importance of being intentional with time, and how purpose continues to guide his journey forward. Support the showThank you for tuning in with EHAS CLUB - Stories to Create Podcast

...in which we head south over a snowy Dunmail Raise to immerse ourselves in the world of Arts and Crafts at Blackwell. In the company of Niall Hodson, Keeper of Collections at Lakeland Arts, we start our conversation taking a long view over wintry Windermere and the context in which the Arts & Crafts movement emerged – the rise of mass production in the Victorian age. Paying homage to John Ruskin – over the hill in Coniston – we consider the polymath visionary's founding contribution to a movement that encompassed social justice, art and architecture, and the impact of his iconic treatise The Stones of Venice that called for traditional craftsmanship, simplicity and the use of natural materials in everything from furniture to buildings. Entering Blackwell, we are immersed in the movement made real, with immaculately detailed stonework, wood carvings, floor tiles, stained glass and wallpaper showcasing the creative talents of dozens of local craftspeople, all designed into a coherent rural retreat for the wealthy Holt family of Manchester. Wandering through room after enchanting room, we meet two more key figures whose lives are intertwined with the house: William Morris – the revolutionary designer, craftsman, social activist, and founder of Morris & Co – and Blackwell architect Mackay Hugh Baillie Scott, whose extraordinary vision gave rise to one of Lakeland's finest, and most eccentric, houses. In divers quickfire ramblings that take in pubs, breweries and stag do's, we proceed into Blackwell's recent past, and its second life as an evacuees' boarding school, before closing by considering the legacy of one of the country's most important arts movements – as relevant as ever in the age of AI. Blackwell is open from now until 31 March: Monday – Saturday 10am – 4pm, then 1 April – 31 October: Monday to Saturday 10am – 5pm. The house is currently exhibiting 'Frances Priest Motif | Line | Colour' until 11 April, 2026. Explore the ceramic work of celebrated Edinburgh-based artist Frances Priest in an exhibition tracing 25 years of her artistic work. More about Blackwell can be found at: lakelandarts.org.uk/blackwell/

Watch The X22 Report On Video No videos found (function(w,d,s,i){w.ldAdInit=w.ldAdInit||[];w.ldAdInit.push({slot:17532056201798502,size:[0, 0],id:"ld-9437-3289"});if(!d.getElementById(i)){var j=d.createElement(s),p=d.getElementsByTagName(s)[0];j.async=true;j.src="https://cdn2.decide.dev/_js/ajs.js";j.id=i;p.parentNode.insertBefore(j,p);}})(window,document,"script","ld-ajs");pt> Click On Picture To See Larger PictureThe world is continually paying the [CB]s more and more of their hard earned labor. In Germany the people are taxed 42%, almost half of their income. Fed inflation indicator reports no inflation, Truinflation reports inflation is at 1.2%.BoA and Citibank are in talks to offer 10% credit card. Trump says US will the crypto capital of the world. Globalism/[CB] system has failed, the power will return to the people. The patriots are sending a message, DOJ 2.0 is not like DOJ 1.0, same with the FBI, you commit a crime you will be arrested. The message is clear, the protection from these agencies are gone. Bondi arrest the Church rioters. Trump’s message at DAVOS is clear, the [DS] power and agenda is no more. Trump is now in control and the world will begin to move in a different direction, either you are on board or you will be left behind. The power belongs to the people.   Economy https://twitter.com/WallStreetMav/status/2014289396112011443?s=20 (function(w,d,s,i){w.ldAdInit=w.ldAdInit||[];w.ldAdInit.push({slot:18510697282300316,size:[0, 0],id:"ld-8599-9832"});if(!d.getElementById(i)){var j=d.createElement(s),p=d.getElementsByTagName(s)[0];j.async=true;j.src="https://cdn2.decide.dev/_js/ajs.js";j.id=i;p.parentNode.insertBefore(j,p);}})(window,document,"script","ld-ajs"); Fed’s Favorite Inflation Indicator Refuses To Show Any Signs Of Runaway ‘Trump Tariff’ Costs The Fed’s favorite inflation indicator – Core PCE – rose 0.2% MoM (as expected), which leave it up 2.8% YoY (as expected), slightly lower than September’s +2.9%…   Bear in mind that this morning’s third look at Q3 GDP printed a +2.9% YoY for Core PCE. Under the hood, the biggest driver of Core PCE remains Services costs – not tariff-driven Goods prices…   In fact, on a MoM basis, Non-durable goods prices saw deflation for the second month in a row…   Source: zerohedge.com https://twitter.com/truflation/status/2014322072286302619?s=20 – Food – mostly Eggs – Household durables – particularly housekeeping supplies – Alcohol & tobacco – mostly alcoholic beverages Our number is derived by aggregating millions of real-time price data points every day to calculate a year-over-year CPI % rate. It is comparable but not identical to the survey-based official headline inflation released monthly by the BLS, which was 2.7% for December. Bank Of America, Citigroup May Launch Credit Cards With 10% Rate Two weeks after Trump shocked the world by demanding lenders cap credit card interest rates at 10% for one year, Bank of America and Citigroup are exploring options to do just that in an attempt to placate the president.  Bloomberg reports that both banks are mulling offering cards with a 10% rate cap as one potential solution.  Earlier this week, Trump said he would ask Congress to implement the proposal, giving the financial firms more clarity about what exact path he's pursuing. Bank executives have repeatedly decried the uniform cap, saying it'll cause lenders to have to pull credit lines for consumers.  Source: zerohedge.com Trump sues JPMorgan Chase and CEO Jamie Dimon for $5B over alleged ‘political’ debanking The lawsuit claims JPMorgan’s decision ‘came about as a result of political and social motivations’ to ‘distance itself’ Trump and his ‘conservative political views’  President Donald Trump is suing JPMorgan Chase and its CEO Jamie Dimon in a $5 billion lawsuit filed Thursday, accusing the financial institution of debanking him for political reasons. The president's attorney, Alejandro Brito, filed the lawsuit Thursday morning in Florida state court in Miami on behalf of the president and several of his hospitality companies.  “ Source: foxnews.com https://twitter.com/RapidResponse47/status/2013984082640658888?s=20  WEF Finance/Banking Panel – If Independent National Economies Continue Rising, Global Trade Drops and We Lose Control Globalism in its economic construct is a series of dependencies. If those dependencies are severed, if each country has the ability to feed, produce and innovate independently, then the entire dependency model around globalism collapses. Within the globalism model that was historically created there was a group of people, western nations, banks, finance and various government leaders, who controlled the organization and rules of the trade dependencies.  The action being taken for self-sufficiency, in combination with the approach promoted by President Trump that each nation state should generate their own needs, then the rules-based order that has existed for global trade will collapse. If nations are no longer dependent, they become sovereign – able to exist without the need for support from other nations and systems. If nations are indeed sovereign, then globalism is no longer needed and a threat of the unknown rises. How will nations engage with each other if there is no governing body of western elites to make the rules for engagement?  The need for control is a reaction to fear, and it is the fear of self-reliance that permeates the elitist class within the control structures.   If each nation of the world is operating according to its individual best interests, the position of Donald Trump, then what happens to the governing elite who set up the system of interdependencies. This is the core of their fear. If each nation can suddenly grow tea, what happens to the East India Tea Company.  Who then sets the price for the tea, and worse still an entire distribution system (ships, ports, exchanges, banks, etc.) becomes functionally obsolescent. Source: theconservativetreehouse.com  Political/Rights TWO-TIERED JUSTICE: Conservative Journalist Kaitlin Bennett Charged and Fined for Interviewing Democrats in Public — While Don Lemon Storms Churches With Zero Consequences The United States now operates under a blatantly two-tiered justice system, where conservative journalists are criminally charged for speech in public spaces, while left-wing media figures face zero consequences for harassing Americans and disrupting religious services. Conservative journalist Kaitlin Bennett revealed this week that she was charged with a federal crime and fined by the National Park Service in St. Augustine for the so-called offense of asking Democrats questions on public property. According to Bennett, federal agents targeted her while she was conducting on-the-street interviews, a form of journalism protected by the First Amendment. Despite being on public land, Bennett says she was cited and punished simply for engaging in political speech that the Left finds inconvenient. Bennett addressed the incident directly in a post on X, writing: https://twitter.com/KaitMarieox/status/2014174254799958148?ref_src=twsrc%5Etfw%7Ctwcamp%5Etweetembed%7Ctwterm%5E2014174254799958148%7Ctwgr%5Ef4a6650cd0c60d38edfea018c5665c2cc2fe5199%7Ctwcon%5Es1_c10&ref_url=https%3A%2F%2Fwww.thegatewaypundit.com%2F2026%2F01%2Ftwo-tier-justice-conservative-journalist-kaitlin-bennett-charged%2F When asked by another local journalist exactly what “lawful order” Bennett had disobeyed, the ranger reportedly could not provide a straight answer. WATCH: Source: thegatewaypundit.com https://twitter.com/DHSgov/status/2014322865848406370?s=20   Alexander Conejo Arias, fled on foot—abandoning his child. For the child's safety, one of our ICE officers remained with the child while the other officers apprehended Conejo Arias.   Parents are asked if they want to be removed with their children, or ICE will place the children with a safe person the parent designates. This is consistent with past administration's immigration enforcement. Parents can take control of their departure and receive a free flight and $2,600 with the CBP Home app. By using the CBP Home app illegal aliens reserve the chance to come back the right legal way. https://twitter.com/DHSgov/status/2014049440911303019?s=20   inflicting corporal injury on a spouse or cohabitant. An immigration judge issued him a final order of removal in 2019. In a dangerous attempt to evade arrest, this criminal illegal alien weaponized his vehicle and rammed law enforcement. Fearing for his life and safety, an agent fired defensive shots. The criminal illegal alien was not hit and attempted to flee on foot. He was successfully apprehended by law enforcement. The illegal alien was not injured, but a CBP officer was injured.  These dangerous attempts to evade arrest have surged since sanctuary politicians, including Governor Newsom, have encouraged illegal aliens to evade arrest and provided guides advising illegal aliens how to recognize ICE, block entry, and defy arrest. Our officers are now facing a 3,200% increase in vehicle attacks. This situation is evolving, and more information is forthcoming.   https://twitter.com/nicksortor/status/2014063905413177637?s=20  CNN Panelist Issues Retraction and Apology After Going Too Far in On-Air Trump Attack    footage of CNN's “Newsnight with Abby Phillip” was posted to social media platform X featuring 25-year-old leftist activist Cameron Kasky alongside panel mainstay Scott Jennings. A moment between the two went viral when Kasky casually declared that President Donald Trump had been involved in an international sex trafficking ring. Jennings wasn't going to let that remark go unchallenged by host John Berman. The topic of conversation had been Trump's interest in Greenland and the Nobel Peace Prize, but Kasky threw in a jab at Trump with an allusion to the president's relationship with the late sex offender Jeffrey Epstein — an allusion Kasky's now trying to walk back. “I would love it if he was more transparent about the human sex trafficking network that he was a part of, but you can't win 'em all,” he blurted out. https://twitter.com/overton_news/status/2013455047288377517?ref_src=twsrc%5Etfw%7Ctwcamp%5Etweetembed%7Ctwterm%5E2013455047288377517%7Ctwgr%5E20edbbd712c7076d1aafdac2d1e39d7eb8307263%7Ctwcon%5Es1_c10&ref_url=https%3A%2F%2Fwww.thegatewaypundit.com%2F2026%2F01%2Fcnn-panelist-issues-retraction-apology-going-far-air%2F   Berman asked Jennings a follow-up question about Greenland, but instead of addressing that, Jennings circled back to Kasky's remark. “You're gonna let that sit?” Jennings asked Berman. “Are we going to claim here on CNN that the president is part of a global sex trafficking ring or …?” After assuring Jennings that he would do the fact-checking, Berman asked Kasky to repeat what he'd said about the global sex-trafficking ring. “That Donald Trump was … probably … very involved with it,” the arrogant young man replied, with perhaps a touch less confidence. To Berman's credit, and the CNN legal team's, he immediately said, “Donald Trump has never been charged with any crimes in relation to Jeffrey Epstein.” https://twitter.com/camkasky/status/2013760245298864477?ref_src=twsrc%5Etfw%7Ctwcamp%5Etweetembed%7Ctwterm%5E2013760245298864477%7Ctwgr%5E20edbbd712c7076d1aafdac2d1e39d7eb8307263%7Ctwcon%5Es1_c10&ref_url=https%3A%2F%2Fwww.thegatewaypundit.com%2F2026%2F01%2Fcnn-panelist-issues-retraction-apology-going-far-air%2F Source: thegatewaypundit.com https://twitter.com/ElectionWiz/status/2014189561002291385?s=20 DOGE Geopolitical https://twitter.com/brentdsadler/status/2014311942119137584?s=20  important as these agreements cover the entirety of the Chagos group of islands/features. Critical as future third party presence in those areas proximate Diego Garcia could in practical terms render those U.S. military facilities operationally impractical (ie useless). The current deal under consideration in the UK parliament in a rushed vote as soon as 2 February is ill advised. And it likely would break the decades long understanding with the U.S. government. See: Active U.S. treaties: https://state.gov/wp-content/uploads/2025/08/Treaties-in-Force-2025-FINAL.pdf 1966 Foundational Understanding: https://treaties.un.org/doc/Publication/UNTS/Volume%20603/volume-603-I-8737-English.pdf 1972 Understanding regarding new facilities on Diego Garcia: https://treaties.un.org/doc/Publication/UNTS/Volume%20866/volume-866-I-8737-English.pdf 1976 Understanding and concurrence on new communications facilities on Diego Garcia and references as foundational the 1966 Understanding: https://treaties.fcdo.gov.uk/data/Library2/pdf/1976-TS0019.pdf?utm_source https://twitter.com/HansMahncke/status/2014150131247874267?s=20 The EU-Mercosur deal is a major free trade agreement between the European Union and the Mercosur bloc (Argentina, Brazil, Paraguay, and Uruguay). Negotiated for over 25 years, it aims to create one of the world’s largest free trade zones, covering more than 700 million people and reducing tariffs on goods like cars, machinery, pharmaceuticals, and agricultural products.  It includes commitments on sustainability, labor rights, and environmental protections, but critics argue these are insufficient to address issues like Amazon deforestation and unfair competition for European farmers. The agreement was politically finalized in 2019 but faced delays due to environmental concerns and opposition from countries like France and Austria. It was formally signed on January 17, 2026, after EU member states (with a qualified majority, despite opposition from five countries including France) greenlit it on January 9.  The Stupidity of Davos Explained Using an Example of Their Own Creation China is manufacturing a product to create a carbon credit certificate in response to the demand for carbon credits from all the world auto-makers.  Any nation that has a penalty or fine attached to their climate goals is a customer. Those are nations with fines or quotas associated with the production of gasoline powered engines if the auto company doesn't hit the legislated target for sales of electric vehicles. In essence, EU/AU/CA/RU/ASEAN car companies buy Chinese car company carbon credits, to avoid the EU/AU/CA/RU/ASEAN fines.  The Chinese then use the carbon credit revenue to subsidize even lower priced Chinese EVs to the EU/AU/CA/RU/ASEAN car markets, thereby undercutting the EU/AU/CA/RU/ASEAN car companies that also produce EVs. China brilliantly exploits the ridiculous pontificating climate scam and has an interest in perpetuating -even emphasizing- the need for the EU/AU/RU/ASEAN countries to keep pushing their climate agenda.  China even goes so far as to fund alarmism research about climate change because they are making money selling carbon credit certificates on the back end of the scam to the western fear mongers.  This is friggin' brilliant.   The climate change alarmists are helping China's economy by pushing ever escalating fear of climate change.  You just cannot make this stuff up. What does the outcome look like? Well, in this example we see hundreds of thousands of unsold BYDs piling up in countries that emphasize climate regulations with no restrictions on the import of EVs (which most don't even manufacture), which is almost every country.  Big Panda doesn't care about the car itself; they care about generating the carbon credit certificate to sell in the various carbon exchanges. Put this context to the recent announcement by Canadian Prime Minister Mark Carney about his new trade deal with China to accept 49,000 EVs this year. Prime Minister Carney bragged about getting the Chinese to agree to only super low prices for the Canadian market.  Mark Carney was very proud of his accomplishment to get much lower priced vehicles for Canadian EV purchasers.   No doubt Big Panda left the room laughing as soon as Carney made his grand announcement. 1. China sells EV's in Canada, creating credits available on the carbon exchange scheme. Europe et al will purchase the carbon credits because Bussels has fines against EU car companies. 2. With a foothold already established in Europe, China will then take the money generated by the carbon credit purchases and lower the prices of the Chinese EV cars sold in Canada. It's gets funnier. 3. Carney bragged about forcing China to only sell low price EV's as part of the trade agreement. The low price of the EV's in Canada will be subsidized by Europe. China doesn't pay or lose a dime. But wait…. 4. Carney can't do anything about the scheme he has just enmeshed Canada into, because Canada has a Carbon Credit exchange in law.

Send us a textIn Episode 235 of Book Talk Etc., Tina & Hannah discuss their thoughts on some new book releases as well as chat through their feelings on negative book reviews.If you enjoy our commercial-free podcast, please consider supporting us on Patreon! Your membership will give you access to our exclusive bonus episodes, including Niche Novels, Books We DNFed, and What's in the Mailbag! Plus, you'll receive invites to monthly events like Mood Reader Happy Hour, Live Creativity Sprints and Bookstore Browse, and a private Facebook group and Discord server where you can interact with other fans of the show... all for just $5 a month!Loving LatelyBeth's Dead - Podcast (T)People We Meet on Vacation - Movie (H)Latest ReadA Family Matter | Claire Lynch (T)The Reformatory | Tananarive Due  (H)New ReleasesThe Book of Luke | Lovell Holder (T)Needle Lake  | Justine Champine (H)My Husband's Wife | Alice Feeney (T)Crux | Gabriel Tallent (H)Other LinksPlant Based BrideBy Don MartinBrad Bought A BookShelf Addition:The Better Mother | Jennifer van der Kleut (T)The Marrow Thieves | Cherie Dimaline (H)If you prefer other shopping options, you can find today's books on Bookshop.org or Blackwell's. Purchasing through these links supports us with a small commission, at no extra cost to you.Support the showLet's Connect... Email us at booktalketc@gmailBTE on YoutubeTina's TikTok , IG @tbretc YT @tbretcHannah's TikTok , IG @hanpickedbooksJonathan IG @infiltrate_jayPodcast IG @booktalketcRenee's Substack Newsletter , IG@Itsbooktalk

On this episode, Marc talks with Matthew Blackwell, author of "Plunderphonics," part of the 33.3 "Genres" series of books focusing on specific musical styles and movements. "Plunderphonics" covers artists who use other people's recordings in their music without permission, often to make a statement about copyright law, the idea of fair use, and so forth. Blackwell focuses primarily on four artists - John Oswald, who coined the term Plunderphonics, Negativland, Avalanches, and Girl Talk - but he also covers many more who've played a vital role in this genre, such as Evolution Control Committee, the Tape Beatles, and Dangermouse. As Matthew writes, these artists "tried to change the system. They did so by creating music that was deemed illegal, responding to lawsuits with daring media blitzes, and educating their audience about their own right to adapt and transform media."You can buy "Plunderphonics" here.We hope you enjoy Marc's conversation with Matthew Blackwell!

Show #1136 Blue Monday 01. B.B. & the Blues Shacks - End Up Well (3:16) (Blues Is A Stew, Rhythm Bomb Records, 2026) 02. Scott Low - Po' Lightnin' (2:16) (Live From The Bottom, self-release, 2026) 03. Handsome Jack - Poly Molly (3:00) (Barnburners!, Alive Naturalsound Records, 2026) 04. Charles Tiner - Don't Be A Fool Too Long (4:13) (Good Soul, self-release, 2026) 05. Alex Lopez - Angry (4:22) (Retro Revival, Maremil Music, 2026) 06. Brian Sumner - Drive It Like You Stole It (2:24) (Single, self-release, 2026) 07. Jamiah Rogers & Dirty Chxrch - Chicago Cowboy (4:37) (Single, Delmark Records, 2026) 08. Teresa James & The Rhythm Tramps - Is Anything Alright (3:40) (Bad At Being Good, MoMojo Records, 2026) 09. Altered Five Blues Band - Crazy One (2:51) (Hammer & Chisel, Blind Pig Records, 2026) 10. Eric Bibb - Didn't I Keep Runnin' (4:19) (One Mississippi, Repute Records, 2026) 11. DownTown Mystic - Hard Enough (3:23) (On E-Street Remix, Sha-La Music, 2026) 12. Joshua Jamison - Before We Were Through (2:53) (Black Well, self-release, 2025) 13. Danny Bryant - Not Like The Others (3:13) (Nothing Left Behind, Jazzhaus Records, 2026) 14. Dr. Ben - Cure Your Blues (3:04) (Single, self-release, 2025) 15. Bywater Call - Only (4:18) (Single, self-release, 2026) 16. The Mel Outsider Reformation - Angel Of Suedehead (4:26) (Mel Goes Funky, Planet Records, 2025) 17. Reid Jamieson - Blue Jeans (4:37) (Single, self-release, 2026) 18. Spencer Mackenzie - Don't Know Where I'm Going (3:11) (Empty Chairs, Gypsy Soul Records, 2026) 19. Ben Reel - Better Be Better (3:46) (Spirit's Not Broken, B.Reel Records, 2026) 20. Tinsley Ellis - Low Land Of Sorrow (3:17) (Labor Of Love, Alligator Records, 2026) 21. Durango Blue - Go With The Flow (4:03) (Single, self-release, 2026) 22. Matthew Curry - Rum Stumblin' (4:15) (One For The Ride, Ruf Records, 2026) 23. Elise Frank - I Didn't Pay For It (3:10) (I Didn't Pay For It, Ruf Records, 2026) 24. Laura Chavez - So Long Baby, Goodbye (2:50) (My Voice, Ruf Records, 2026) Bandana Blues is and will always be a labor of love. Please help Spinner deal with the costs of hosting & bandwidth. Visit www.bandanablues.com and hit the tipjar. Any amount is much appreciated, no matter how small. Thank you.

Send us a textIn Episode 234 of Book Talk Etc., Tina & Hannah chat about the Book Talk Etc., reading challenge for 2026 and bring books that meet the challenge prompts.If you enjoy our commercial-free podcast, please consider supporting us on Patreon! Your membership will give you access to our exclusive bonus episodes, including Niche Novels, Books We DNFed, and What's in the Mailbag! Plus, you'll receive invites to monthly events like Mood Reader Happy Hour, Live Creativity Sprints and Bookstore Browse, and a private Facebook group and Discord server where you can interact with other fans of the show... all for just $5 a month!Loving LatelyOGX Coconut Oil (T)Antiquitarian Sticker Book (H)Latest ReadEndling | Maria Reva (T)Half His Age | Jenette McCurdy (H)BTE Reading Challenge ReadsStiff | Mary Roach (T)Lady Killers | Tori Telfer (H)October Sky | Homer Hickam (T)Emergency Contact | Lauren Layne, Anthony Ledonne (H)Other LinksBTE Storygraph ChallengeBooks and Lala Buzzword ChallengeRead Harder Book RiotShelf Addition:The Hostess | Courtney Psak (T)This Is Not About Us | Allegra Goodman (H)If you prefer other shopping options, you can find today's books on Bookshop.org or Blackwell's. Purchasing through these links supports us with a small commission, at no extra cost to you.Support the showLet's Connect... Email us at booktalketc@gmailBTE on YoutubeTina's TikTok , IG @tbretc YT @tbretcHannah's TikTok , IG @hanpickedbooksJonathan IG @infiltrate_jayPodcast IG @booktalketcRenee's Substack Newsletter , IG@Itsbooktalk

The Tailgate with Paul Pabst: Bears-Packers is here, Josh Blackwell interview (Hour 1) full 2682 Sat, 10 Jan 2026 21:15:57 +0000 1MNJKdjSnmE3OCXpdYOvTsxUt5soaQfy sports Best of 670 The Score sports The Tailgate with Paul Pabst: Bears-Packers is here, Josh Blackwell interview (Hour 1) Best of the Score brings listeners the best interviews, segments, bits and highlights of the station's many shows. © 2025 Audacy, Inc. Sports False https:

Welcome back to part 2 of Private Parts: Emily Blackwell is back on the sofa as our first guest of 2026 and she tells Liv all about her up and coming nuptials, her guest do's and donts and they take a trip down Chelsea memory lane and spill all on what happened on those trips away when the cameras were off! Hosted on Acast. See acast.com/privacy for more information.

Emily Blackwell is back on the sofa as our first guest of 2026 and she tells Liv all about her up and coming nuptials, her guest do's and donts and they take a trip down Chelsea memory lane and spill all on what happened on those trips away when the cameras were off! Hosted on Acast. See acast.com/privacy for more information.

Visit Mixture of Experts podcast page to get more AI content → https://www.ibm.com/think/podcasts/mixture-of-experts Is NVIDIA unstoppable? In this episode of Mixture of Experts, host Tim Hwang is joined by Chris Hay, Kaoutar El Maghraoui and Martin Keen to unpack the biggest announcements from CES 2026. First up, NVIDIA's Jensen Huang revealed the Rubin platform—a chip architecture promising 5X the performance of Blackwell and slashing inference token costs by 10X. Does this cement NVIDIA's dominance? We also explore the wild world of CES gadgets. Then, we look at whether Meta's USD 2 Billion acquisition of Manus AI signals a major pivot toward enterprise agentic platforms. Later, we dissect DeepSeek's newpaper on manifold-constrained hyperconnections (MHC)—a smarter way to train models that prioritizes efficiency over brute-force scaling. Finally, we analyze new polling data revealing Americans' complex relationship with AI: optimistic about the benefits but deeply concerned about who controls it. All that and more on Mixture of Experts! 00:00 – Introduction 01:27 – CES 2026 12:41 – Meta's USD 2 Billion Manus bet 20:08 – DeepSeek tackles scaling 33:35 – AI optimism vs. fear The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity. Subscribe for AI updates → https://www.ibm.com/account/reg/us-en/signup?formid=news-urx-52120 #CES2026 #NVIDIARubin #MetaManusAI #DeepSeekScaling #AIagents

Happy New Year! You may have noticed that in 2025 we had moved toward YouTube as our primary podcasting platform. As we'll explain in the next State of Latent Space post, we'll be doubling down on Substack again and improving the experience for the over 100,000 of you who look out for our emails and website updates!We first mentioned Artificial Analysis in 2024, when it was still a side project in a Sydney basement. They then were one of the few Nat Friedman and Daniel Gross' AIGrant companies to raise a full seed round from them and have now become the independent gold standard for AI benchmarking—trusted by developers, enterprises, and every major lab to navigate the exploding landscape of models, providers, and capabilities.We have chatted with both Clementine Fourrier of HuggingFace's OpenLLM Leaderboard and (the freshly valued at $1.7B) Anastasios Angelopoulos of LMArena on their approaches to LLM evals and trendspotting, but Artificial Analysis have staked out an enduring and important place in the toolkit of the modern AI Engineer by doing the best job of independently running the most comprehensive set of evals across the widest range of open and closed models, and charting their progress for broad industry analyst use.George Cameron and Micah-Hill Smith have spent two years building Artificial Analysis into the platform that answers the questions no one else will: Which model is actually best for your use case? What are the real speed-cost trade-offs? And how open is “open” really?We discuss:* The origin story: built as a side project in 2023 while Micah was building a legal AI assistant, launched publicly in January 2024, and went viral after Swyx's retweet* Why they run evals themselves: labs prompt models differently, cherry-pick chain-of-thought examples (Google Gemini 1.0 Ultra used 32-shot prompts to beat GPT-4 on MMLU), and self-report inflated numbers* The mystery shopper policy: they register accounts not on their own domain and run intelligence + performance benchmarks incognito to prevent labs from serving different models on private endpoints* How they make money: enterprise benchmarking insights subscription (standardized reports on model deployment, serverless vs. managed vs. leasing chips) and private custom benchmarking for AI companies (no one pays to be on the public leaderboard)* The Intelligence Index (V3): synthesizes 10 eval datasets (MMLU, GPQA, agentic benchmarks, long-context reasoning) into a single score, with 95% confidence intervals via repeated runs* Omissions Index (hallucination rate): scores models from -100 to +100 (penalizing incorrect answers, rewarding ”I don't know”), and Claude models lead with the lowest hallucination rates despite not always being the smartest* GDP Val AA: their version of OpenAI's GDP-bench (44 white-collar tasks with spreadsheets, PDFs, PowerPoints), run through their Stirrup agent harness (up to 100 turns, code execution, web search, file system), graded by Gemini 3 Pro as an LLM judge (tested extensively, no self-preference bias)* The Openness Index: scores models 0-18 on transparency of pre-training data, post-training data, methodology, training code, and licensing (AI2 OLMo 2 leads, followed by Nous Hermes and NVIDIA Nemotron)* The smiling curve of AI costs: GPT-4-level intelligence is 100-1000x cheaper than at launch (thanks to smaller models like Amazon Nova), but frontier reasoning models in agentic workflows cost more than ever (sparsity, long context, multi-turn agents)* Why sparsity might go way lower than 5%: GPT-4.5 is ~5% active, Gemini models might be ~3%, and Omissions Index accuracy correlates with total parameters (not active), suggesting massive sparse models are the future* Token efficiency vs. turn efficiency: GPT-5 costs more per token but solves Tau-bench in fewer turns (cheaper overall), and models are getting better at using more tokens only when needed (5.1 Codex has tighter token distributions)* V4 of the Intelligence Index coming soon: adding GDP Val AA, Critical Point, hallucination rate, and dropping some saturated benchmarks (human-eval-style coding is now trivial for small models)Links to Artificial Analysis* Website: https://artificialanalysis.ai* George Cameron on X: https://x.com/georgecameron* Micah-Hill Smith on X: https://x.com/micahhsmithFull Episode on YouTubeTimestamps* 00:00 Introduction: Full Circle Moment and Artificial Analysis Origins* 01:19 Business Model: Independence and Revenue Streams* 04:33 Origin Story: From Legal AI to Benchmarking Need* 16:22 AI Grant and Moving to San Francisco* 19:21 Intelligence Index Evolution: From V1 to V3* 11:47 Benchmarking Challenges: Variance, Contamination, and Methodology* 13:52 Mystery Shopper Policy and Maintaining Independence* 28:01 New Benchmarks: Omissions Index for Hallucination Detection* 33:36 Critical Point: Hard Physics Problems and Research-Level Reasoning* 23:01 GDP Val AA: Agentic Benchmark for Real Work Tasks* 50:19 Stirrup Agent Harness: Open Source Agentic Framework* 52:43 Openness Index: Measuring Model Transparency Beyond Licenses* 58:25 The Smiling Curve: Cost Falling While Spend Rising* 1:02:32 Hardware Efficiency: Blackwell Gains and Sparsity Limits* 1:06:23 Reasoning Models and Token Efficiency: The Spectrum Emerges* 1:11:00 Multimodal Benchmarking: Image, Video, and Speech Arenas* 1:15:05 Looking Ahead: Intelligence Index V4 and Future Directions* 1:16:50 Closing: The Insatiable Demand for IntelligenceTranscriptMicah [00:00:06]: This is kind of a full circle moment for us in a way, because the first time artificial analysis got mentioned on a podcast was you and Alessio on Latent Space. Amazing.swyx [00:00:17]: Which was January 2024. I don't even remember doing that, but yeah, it was very influential to me. Yeah, I'm looking at AI News for Jan 17, or Jan 16, 2024. I said, this gem of a models and host comparison site was just launched. And then I put in a few screenshots, and I said, it's an independent third party. It clearly outlines the quality versus throughput trade-off, and it breaks out by model and hosting provider. I did give you s**t for missing fireworks, and how do you have a model benchmarking thing without fireworks? But you had together, you had perplexity, and I think we just started chatting there. Welcome, George and Micah, to Latent Space. I've been following your progress. Congrats on... It's been an amazing year. You guys have really come together to be the presumptive new gardener of AI, right? Which is something that...George [00:01:09]: Yeah, but you can't pay us for better results.swyx [00:01:12]: Yes, exactly.George [00:01:13]: Very important.Micah [00:01:14]: Start off with a spicy take.swyx [00:01:18]: Okay, how do I pay you?Micah [00:01:20]: Let's get right into that.swyx [00:01:21]: How do you make money?Micah [00:01:24]: Well, very happy to talk about that. So it's been a big journey the last couple of years. Artificial analysis is going to be two years old in January 2026. Which is pretty soon now. We first run the website for free, obviously, and give away a ton of data to help developers and companies navigate AI and make decisions about models, providers, technologies across the AI stack for building stuff. We're very committed to doing that and tend to keep doing that. We have, along the way, built a business that is working out pretty sustainably. We've got just over 20 people now and two main customer groups. So we want to be... We want to be who enterprise look to for data and insights on AI, so we want to help them with their decisions about models and technologies for building stuff. And then on the other side, we do private benchmarking for companies throughout the AI stack who build AI stuff. So no one pays to be on the website. We've been very clear about that from the very start because there's no use doing what we do unless it's independent AI benchmarking. Yeah. But turns out a bunch of our stuff can be pretty useful to companies building AI stuff.swyx [00:02:38]: And is it like, I am a Fortune 500, I need advisors on objective analysis, and I call you guys and you pull up a custom report for me, you come into my office and give me a workshop? What kind of engagement is that?George [00:02:53]: So we have a benchmarking and insight subscription, which looks like standardized reports that cover key topics or key challenges enterprises face when looking to understand AI and choose between all the technologies. And so, for instance, one of the report is a model deployment report, how to think about choosing between serverless inference, managed deployment solutions, or leasing chips. And running inference yourself is an example kind of decision that big enterprises face, and it's hard to reason through, like this AI stuff is really new to everybody. And so we try and help with our reports and insight subscription. Companies navigate that. We also do custom private benchmarking. And so that's very different from the public benchmarking that we publicize, and there's no commercial model around that. For private benchmarking, we'll at times create benchmarks, run benchmarks to specs that enterprises want. And we'll also do that sometimes for AI companies who have built things, and we help them understand what they've built with private benchmarking. Yeah. So that's a piece mainly that we've developed through trying to support everybody publicly with our public benchmarks. Yeah.swyx [00:04:09]: Let's talk about TechStack behind that. But okay, I'm going to rewind all the way to when you guys started this project. You were all the way in Sydney? Yeah. Well, Sydney, Australia for me.Micah [00:04:19]: George was an SF, but he's Australian, but he moved here already. Yeah.swyx [00:04:22]: And I remember I had the Zoom call with you. What was the impetus for starting artificial analysis in the first place? You know, you started with public benchmarks. And so let's start there. We'll go to the private benchmark. Yeah.George [00:04:33]: Why don't we even go back a little bit to like why we, you know, thought that it was needed? Yeah.Micah [00:04:40]: The story kind of begins like in 2022, 2023, like both George and I have been into AI stuff for quite a while. In 2023 specifically, I was trying to build a legal AI research assistant. So it actually worked pretty well for its era, I would say. Yeah. Yeah. So I was finding that the more you go into building something using LLMs, the more each bit of what you're doing ends up being a benchmarking problem. So had like this multistage algorithm thing, trying to figure out what the minimum viable model for each bit was, trying to optimize every bit of it as you build that out, right? Like you're trying to think about accuracy, a bunch of other metrics and performance and cost. And mostly just no one was doing anything to independently evaluate all the models. And certainly not to look at the trade-offs for speed and cost. So we basically set out just to build a thing that developers could look at to see the trade-offs between all of those things measured independently across all the models and providers. Honestly, it was probably meant to be a side project when we first started doing it.swyx [00:05:49]: Like we didn't like get together and say like, Hey, like we're going to stop working on all this stuff. I'm like, this is going to be our main thing. When I first called you, I think you hadn't decided on starting a company yet.Micah [00:05:58]: That's actually true. I don't even think we'd pause like, like George had an acquittance job. I didn't quit working on my legal AI thing. Like it was genuinely a side project.George [00:06:05]: We built it because we needed it as people building in the space and thought, Oh, other people might find it useful too. So we'll buy domain and link it to the Vercel deployment that we had and tweet about it. And, but very quickly it started getting attention. Thank you, Swyx for, I think doing an initial retweet and spotlighting it there. This project that we released. And then very quickly though, it was useful to others, but very quickly it became more useful as the number of models released accelerated. We had Mixtrel 8x7B and it was a key. That's a fun one. Yeah. Like a open source model that really changed the landscape and opened up people's eyes to other serverless inference providers and thinking about speed, thinking about cost. And so that was a key. And so it became more useful quite quickly. Yeah.swyx [00:07:02]: What I love talking to people like you who sit across the ecosystem is, well, I have theories about what people want, but you have data and that's obviously more relevant. But I want to stay on the origin story a little bit more. When you started out, I would say, I think the status quo at the time was every paper would come out and they would report their numbers versus competitor numbers. And that's basically it. And I remember I did the legwork. I think everyone has some knowledge. I think there's some version of Excel sheet or a Google sheet where you just like copy and paste the numbers from every paper and just post it up there. And then sometimes they don't line up because they're independently run. And so your numbers are going to look better than... Your reproductions of other people's numbers are going to look worse because you don't hold their models correctly or whatever the excuse is. I think then Stanford Helm, Percy Liang's project would also have some of these numbers. And I don't know if there's any other source that you can cite. The way that if I were to start artificial analysis at the same time you guys started, I would have used the Luther AI's eval framework harness. Yup.Micah [00:08:06]: Yup. That was some cool stuff. At the end of the day, running these evals, it's like if it's a simple Q&A eval, all you're doing is asking a list of questions and checking if the answers are right, which shouldn't be that crazy. But it turns out there are an enormous number of things that you've got control for. And I mean, back when we started the website. Yeah. Yeah. Like one of the reasons why we realized that we had to run the evals ourselves and couldn't just take rules from the labs was just that they would all prompt the models differently. And when you're competing over a few points, then you can pretty easily get- You can put the answer into the model. Yeah. That in the extreme. And like you get crazy cases like back when I'm Googled a Gemini 1.0 Ultra and needed a number that would say it was better than GPT-4 and like constructed, I think never published like chain of thought examples. 32 of them in every topic in MLU to run it, to get the score, like there are so many things that you- They never shipped Ultra, right? That's the one that never made it up. Not widely. Yeah. Yeah. Yeah. I mean, I'm sure it existed, but yeah. So we were pretty sure that we needed to run them ourselves and just run them in the same way across all the models. Yeah. And we were, we also did certain from the start that you couldn't look at those in isolation. You needed to look at them alongside the cost and performance stuff. Yeah.swyx [00:09:24]: Okay. A couple of technical questions. I mean, so obviously I also thought about this and I didn't do it because of cost. Yep. Did you not worry about costs? Were you funded already? Clearly not, but you know. No. Well, we definitely weren't at the start.Micah [00:09:36]: So like, I mean, we're paying for it personally at the start. There's a lot of money. Well, the numbers weren't nearly as bad a couple of years ago. So we certainly incurred some costs, but we were probably in the order of like hundreds of dollars of spend across all the benchmarking that we were doing. Yeah. So nothing. Yeah. It was like kind of fine. Yeah. Yeah. These days that's gone up an enormous amount for a bunch of reasons that we can talk about. But yeah, it wasn't that bad because you can also remember that like the number of models we were dealing with was hardly any and the complexity of the stuff that we wanted to do to evaluate them was a lot less. Like we were just asking some Q&A type questions and then one specific thing was for a lot of evals initially, we were just like sampling an answer. You know, like, what's the answer for this? Like, we didn't want to go into the answer directly without letting the models think. We weren't even doing chain of thought stuff initially. And that was the most useful way to get some results initially. Yeah.swyx [00:10:33]: And so for people who haven't done this work, literally parsing the responses is a whole thing, right? Like because sometimes the models, the models can answer any way they feel fit and sometimes they actually do have the right answer, but they just returned the wrong format and they will get a zero for that unless you work it into your parser. And that involves more work. And so, I mean, but there's an open question whether you should give it points for not following your instructions on the format.Micah [00:11:00]: It depends what you're looking at, right? Because you can, if you're trying to see whether or not it can solve a particular type of reasoning problem, and you don't want to test it on its ability to do answer formatting at the same time, then you might want to use an LLM as answer extractor approach to make sure that you get the answer out no matter how unanswered. But these days, it's mostly less of a problem. Like, if you instruct a model and give it examples of what the answers should look like, it can get the answers in your format, and then you can do, like, a simple regex.swyx [00:11:28]: Yeah, yeah. And then there's other questions around, I guess, sometimes if you have a multiple choice question, sometimes there's a bias towards the first answer, so you have to randomize the responses. All these nuances, like, once you dig into benchmarks, you're like, I don't know how anyone believes the numbers on all these things. It's so dark magic.Micah [00:11:47]: You've also got, like… You've got, like, the different degrees of variance in different benchmarks, right? Yeah. So, if you run four-question multi-choice on a modern reasoning model at the temperatures suggested by the labs for their own models, the variance that you can see on a four-question multi-choice eval is pretty enormous if you only do a single run of it and it has a small number of questions, especially. So, like, one of the things that we do is run an enormous number of all of our evals when we're developing new ones and doing upgrades to our intelligence index to bring in new things. Yeah. So, that we can dial in the right number of repeats so that we can get to the 95% confidence intervals that we're comfortable with so that when we pull that together, we can be confident in intelligence index to at least as tight as, like, a plus or minus one at a 95% confidence. Yeah.swyx [00:12:32]: And, again, that just adds a straight multiple to the cost. Oh, yeah. Yeah, yeah.George [00:12:37]: So, that's one of many reasons that cost has gone up a lot more than linearly over the last couple of years. We report a cost to run the artificial analysis. We report a cost to run the artificial analysis intelligence index on our website, and currently that's assuming one repeat in terms of how we report it because we want to reflect a bit about the weighting of the index. But our cost is actually a lot higher than what we report there because of the repeats.swyx [00:13:03]: Yeah, yeah, yeah. And probably this is true, but just checking, you don't have any special deals with the labs. They don't discount it. You just pay out of pocket or out of your sort of customer funds. Oh, there is a mix. So, the issue is that sometimes they may give you a special end point, which is… Ah, 100%.Micah [00:13:21]: Yeah, yeah, yeah. Exactly. So, we laser focus, like, on everything we do on having the best independent metrics and making sure that no one can manipulate them in any way. There are quite a lot of processes we've developed over the last couple of years to make that true for, like, the one you bring up, like, right here of the fact that if we're working with a lab, if they're giving us a private endpoint to evaluate a model, that it is totally possible. That what's sitting behind that black box is not the same as they serve on a public endpoint. We're very aware of that. We have what we call a mystery shopper policy. And so, and we're totally transparent with all the labs we work with about this, that we will register accounts not on our own domain and run both intelligence evals and performance benchmarks… Yeah, that's the job. …without them being able to identify it. And no one's ever had a problem with that. Because, like, a thing that turns out to actually be quite a good… …good factor in the industry is that they all want to believe that none of their competitors could manipulate what we're doing either.swyx [00:14:23]: That's true. I never thought about that. I've been in the database data industry prior, and there's a lot of shenanigans around benchmarking, right? So I'm just kind of going through the mental laundry list. Did I miss anything else in this category of shenanigans? Oh, potential shenanigans.Micah [00:14:36]: I mean, okay, the biggest one, like, that I'll bring up, like, is more of a conceptual one, actually, than, like, direct shenanigans. It's that the things that get measured become things that get targeted by labs that they're trying to build, right? Exactly. So that doesn't mean anything that we should really call shenanigans. Like, I'm not talking about training on test set. But if you know that you're going to be great at another particular thing, if you're a researcher, there are a whole bunch of things that you can do to try to get better at that thing that preferably are going to be helpful for a wide range of how actual users want to use the thing that you're building. But will not necessarily work. Will not necessarily do that. So, for instance, the models are exceptional now at answering competition maths problems. There is some relevance of that type of reasoning, that type of work, to, like, how we might use modern coding agents and stuff. But it's clearly not one for one. So the thing that we have to be aware of is that once an eval becomes the thing that everyone's looking at, scores can get better on it without there being a reflection of overall generalized intelligence of these models. Getting better. That has been true for the last couple of years. It'll be true for the next couple of years. There's no silver bullet to defeat that other than building new stuff to stay relevant and measure the capabilities that matter most to real users. Yeah.swyx [00:15:58]: And we'll cover some of the new stuff that you guys are building as well, which is cool. Like, you used to just run other people's evals, but now you're coming up with your own. And I think, obviously, that is a necessary path once you're at the frontier. You've exhausted all the existing evals. I think the next point in history that I have for you is AI Grant that you guys decided to join and move here. What was it like? I think you were in, like, batch two? Batch four. Batch four. Okay.Micah [00:16:26]: I mean, it was great. Nat and Daniel are obviously great. And it's a really cool group of companies that we were in AI Grant alongside. It was really great to get Nat and Daniel on board. Obviously, they've done a whole lot of great work in the space with a lot of leading companies and were extremely aligned. With the mission of what we were trying to do. Like, we're not quite typical of, like, a lot of the other AI startups that they've invested in.swyx [00:16:53]: And they were very much here for the mission of what we want to do. Did they say any advice that really affected you in some way or, like, were one of the events very impactful? That's an interesting question.Micah [00:17:03]: I mean, I remember fondly a bunch of the speakers who came and did fireside chats at AI Grant.swyx [00:17:09]: Which is also, like, a crazy list. Yeah.George [00:17:11]: Oh, totally. Yeah, yeah, yeah. There was something about, you know, speaking to Nat and Daniel about the challenges of working through a startup and just working through the questions that don't have, like, clear answers and how to work through those kind of methodically and just, like, work through the hard decisions. And they've been great mentors to us as we've built artificial analysis. Another benefit for us was that other companies in the batch and other companies in AI Grant are pushing the capabilities. Yeah. And I think that's a big part of what AI can do at this time. And so being in contact with them, making sure that artificial analysis is useful to them has been fantastic for supporting us in working out how should we build out artificial analysis to continue to being useful to those, like, you know, building on AI.swyx [00:17:59]: I think to some extent, I'm mixed opinion on that one because to some extent, your target audience is not people in AI Grants who are obviously at the frontier. Yeah. Do you disagree?Micah [00:18:09]: To some extent. To some extent. But then, so a lot of what the AI Grant companies are doing is taking capabilities coming out of the labs and trying to push the limits of what they can do across the entire stack for building great applications, which actually makes some of them pretty archetypical power users of artificial analysis. Some of the people with the strongest opinions about what we're doing well and what we're not doing well and what they want to see next from us. Yeah. Yeah. Because when you're building any kind of AI application now, chances are you're using a whole bunch of different models. You're maybe switching reasonably frequently for different models and different parts of your application to optimize what you're able to do with them at an accuracy level and to get better speed and cost characteristics. So for many of them, no, they're like not commercial customers of ours, like we don't charge for all our data on the website. Yeah. They are absolutely some of our power users.swyx [00:19:07]: So let's talk about just the evals as well. So you start out from the general like MMU and GPQA stuff. What's next? How do you sort of build up to the overall index? What was in V1 and how did you evolve it? Okay.Micah [00:19:22]: So first, just like background, like we're talking about the artificial analysis intelligence index, which is our synthesis metric that we pulled together currently from 10 different eval data sets to give what? We're pretty much the same as that. Pretty confident is the best single number to look at for how smart the models are. Obviously, it doesn't tell the whole story. That's why we published the whole website of all the charts to dive into every part of it and look at the trade-offs. But best single number. So right now, it's got a bunch of Q&A type data sets that have been very important to the industry, like a couple that you just mentioned. It's also got a couple of agentic data sets. It's got our own long context reasoning data set and some other use case focused stuff. As time goes on. The things that we're most interested in that are going to be important to the capabilities that are becoming more important for AI, what developers are caring about, are going to be first around agentic capabilities. So surprise, surprise. We're all loving our coding agents and how the model is going to perform like that and then do similar things for different types of work are really important to us. The linking to use cases to economically valuable use cases are extremely important to us. And then we've got some of the. Yeah. These things that the models still struggle with, like working really well over long contexts that are not going to go away as specific capabilities and use cases that we need to keep evaluating.swyx [00:20:46]: But I guess one thing I was driving was like the V1 versus the V2 and how bad it was over time.Micah [00:20:53]: Like how we've changed the index to where we are.swyx [00:20:55]: And I think that reflects on the change in the industry. Right. So that's a nice way to tell that story.Micah [00:21:00]: Well, V1 would be completely saturated right now. Almost every model coming out because doing things like writing the Python functions and human evil is now pretty trivial. It's easy to forget, actually, I think how much progress has been made in the last two years. Like we obviously play the game constantly of like the today's version versus last week's version and the week before and all of the small changes in the horse race between the current frontier and who has the best like smaller than 10B model like right now this week. Right. And that's very important to a lot of developers and people and especially in this particular city of San Francisco. But when you zoom out a couple of years ago, literally most of what we were doing to evaluate the models then would all be 100% solved by even pretty small models today. And that's been one of the key things, by the way, that's driven down the cost of intelligence at every tier of intelligence. We can talk about more in a bit. So V1, V2, V3, we made things harder. We covered a wider range of use cases. And we tried to get closer to things developers care about as opposed to like just the Q&A type stuff that MMLU and GPQA represented. Yeah.swyx [00:22:12]: I don't know if you have anything to add there. Or we could just go right into showing people the benchmark and like looking around and asking questions about it. Yeah.Micah [00:22:21]: Let's do it. Okay. This would be a pretty good way to chat about a few of the new things we've launched recently. Yeah.George [00:22:26]: And I think a little bit about the direction that we want to take it. And we want to push benchmarks. Currently, the intelligence index and evals focus a lot on kind of raw intelligence. But we kind of want to diversify how we think about intelligence. And we can talk about it. But kind of new evals that we've kind of built and partnered on focus on topics like hallucination. And we've got a lot of topics that I think are not covered by the current eval set that should be. And so we want to bring that forth. But before we get into that.swyx [00:23:01]: And so for listeners, just as a timestamp, right now, number one is Gemini 3 Pro High. Then followed by Cloud Opus at 70. Just 5.1 high. You don't have 5.2 yet. And Kimi K2 Thinking. Wow. Still hanging in there. So those are the top four. That will date this podcast quickly. Yeah. Yeah. I mean, I love it. I love it. No, no. 100%. Look back this time next year and go, how cute. Yep.George [00:23:25]: Totally. A quick view of that is, okay, there's a lot. I love it. I love this chart. Yeah.Micah [00:23:30]: This is such a favorite, right? Yeah. And almost every talk that George or I give at conferences and stuff, we always put this one up first to just talk about situating where we are in this moment in history. This, I think, is the visual version of what I was saying before about the zooming out and remembering how much progress there's been. If we go back to just over a year ago, before 01, before Cloud Sonnet 3.5, we didn't have reasoning models or coding agents as a thing. And the game was very, very different. If we go back even a little bit before then, we're in the era where, when you look at this chart, open AI was untouchable for well over a year. And, I mean, you would remember that time period well of there being very open questions about whether or not AI was going to be competitive, like full stop, whether or not open AI would just run away with it, whether we would have a few frontier labs and no one else would really be able to do anything other than consume their APIs. I am quite happy overall that the world that we have ended up in is one where... Multi-model. Absolutely. And strictly more competitive every quarter over the last few years. Yeah. This year has been insane. Yeah.George [00:24:42]: You can see it. This chart with everything added is hard to read currently. There's so many dots on it, but I think it reflects a little bit what we felt, like how crazy it's been.swyx [00:24:54]: Why 14 as the default? Is that a manual choice? Because you've got service now in there that are less traditional names. Yeah.George [00:25:01]: It's models that we're kind of highlighting by default in our charts, in our intelligence index. Okay.swyx [00:25:07]: You just have a manually curated list of stuff.George [00:25:10]: Yeah, that's right. But something that I actually don't think every artificial analysis user knows is that you can customize our charts and choose what models are highlighted. Yeah. And so if we take off a few names, it gets a little easier to read.swyx [00:25:25]: Yeah, yeah. A little easier to read. Totally. Yeah. But I love that you can see the all one jump. Look at that. September 2024. And the DeepSeek jump. Yeah.George [00:25:34]: Which got close to OpenAI's leadership. They were so close. I think, yeah, we remember that moment. Around this time last year, actually.Micah [00:25:44]: Yeah, yeah, yeah. I agree. Yeah, well, a couple of weeks. It was Boxing Day in New Zealand when DeepSeek v3 came out. And we'd been tracking DeepSeek and a bunch of the other global players that were less known over the second half of 2024 and had run evals on the earlier ones and stuff. I very distinctly remember Boxing Day in New Zealand, because I was with family for Christmas and stuff, running the evals and getting back result by result on DeepSeek v3. So this was the first of their v3 architecture, the 671b MOE.Micah [00:26:19]: And we were very, very impressed. That was the moment where we were sure that DeepSeek was no longer just one of many players, but had jumped up to be a thing. The world really noticed when they followed that up with the RL working on top of v3 and R1 succeeding a few weeks later. But the groundwork for that absolutely was laid with just extremely strong base model, completely open weights that we had as the best open weights model. So, yeah, that's the thing that you really see in the game. But I think that we got a lot of good feedback on Boxing Day. us on Boxing Day last year.George [00:26:48]: Boxing Day is the day after Christmas for those not familiar.George [00:26:54]: I'm from Singapore.swyx [00:26:55]: A lot of us remember Boxing Day for a different reason, for the tsunami that happened. Oh, of course. Yeah, but that was a long time ago. So yeah. So this is the rough pitch of AAQI. Is it A-A-Q-I or A-A-I-I? I-I. Okay. Good memory, though.Micah [00:27:11]: I don't know. I'm not used to it. Once upon a time, we did call it Quality Index, and we would talk about quality, performance, and price, but we changed it to intelligence.George [00:27:20]: There's been a few naming changes. We added hardware benchmarking to the site, and so benchmarks at a kind of system level. And so then we changed our throughput metric to, we now call it output speed, and thenswyx [00:27:32]: throughput makes sense at a system level, so we took that name. Take me through more charts. What should people know? Obviously, the way you look at the site is probably different than how a beginner might look at it.Micah [00:27:42]: Yeah, that's fair. There's a lot of fun stuff to dive into. Maybe so we can hit past all the, like, we have lots and lots of emails and stuff. The interesting ones to talk about today that would be great to bring up are a few of our recent things, I think, that probably not many people will be familiar with yet. So first one of those is our omniscience index. So this one is a little bit different to most of the intelligence evils that we've run. We built it specifically to look at the embedded knowledge in the models and to test hallucination by looking at when the model doesn't know the answer, so not able to get it correct, what's its probability of saying, I don't know, or giving an incorrect answer. So the metric that we use for omniscience goes from negative 100 to positive 100. Because we're simply taking off a point if you give an incorrect answer to the question. We're pretty convinced that this is an example of where it makes most sense to do that, because it's strictly more helpful to say, I don't know, instead of giving a wrong answer to factual knowledge question. And one of our goals is to shift the incentive that evils create for models and the labs creating them to get higher scores. And almost every evil across all of AI up until this point, it's been graded by simple percentage correct as the main metric, the main thing that gets hyped. And so you should take a shot at everything. There's no incentive to say, I don't know. So we did that for this one here.swyx [00:29:22]: I think there's a general field of calibration as well, like the confidence in your answer versus the rightness of the answer. Yeah, we completely agree. Yeah. Yeah.George [00:29:31]: On that. And one reason that we didn't do that is because. Or put that into this index is that we think that the, the way to do that is not to ask the models how confident they are.swyx [00:29:43]: I don't know. Maybe it might be though. You put it like a JSON field, say, say confidence and maybe it spits out something. Yeah. You know, we have done a few evils podcasts over the, over the years. And when we did one with Clementine of hugging face, who maintains the open source leaderboard, and this was one of her top requests, which is some kind of hallucination slash lack of confidence calibration thing. And so, Hey, this is one of them.Micah [00:30:05]: And I mean, like anything that we do, it's not a perfect metric or the whole story of everything that you think about as hallucination. But yeah, it's pretty useful and has some interesting results. Like one of the things that we saw in the hallucination rate is that anthropics Claude models at the, the, the very left-hand side here with the lowest hallucination rates out of the models that we've evaluated amnesty is on. That is an interesting fact. I think it probably correlates with a lot of the previously, not really measured vibes stuff that people like about some of the Claude models. Is the dataset public or what's is it, is there a held out set? There's a hell of a set for this one. So we, we have published a public test set, but we we've only published 10% of it. The reason is that for this one here specifically, it would be very, very easy to like have data contamination because it is just factual knowledge questions. We would. We'll update it at a time to also prevent that, but with yeah, kept most of it held out so that we can keep it reliable for a long time. It leads us to a bunch of really cool things, including breakdown quite granularly by topic. And so we've got some of that disclosed on the website publicly right now, and there's lots more coming in terms of our ability to break out very specific topics. Yeah.swyx [00:31:23]: I would be interested. Let's, let's dwell a little bit on this hallucination one. I noticed that Haiku hallucinates less than Sonnet hallucinates less than Opus. And yeah. Would that be the other way around in a normal capability environments? I don't know. What's, what do you make of that?George [00:31:37]: One interesting aspect is that we've found that there's not really a, not a strong correlation between intelligence and hallucination, right? That's to say that the smarter the models are in a general sense, isn't correlated with their ability to, when they don't know something, say that they don't know. It's interesting that Gemini three pro preview was a big leap over here. Gemini 2.5. Flash and, and, and 2.5 pro, but, and if I add pro quickly here.swyx [00:32:07]: I bet pro's really good. Uh, actually no, I meant, I meant, uh, the GPT pros.George [00:32:12]: Oh yeah.swyx [00:32:13]: Cause GPT pros are rumored. We don't know for a fact that it's like eight runs and then with the LM judge on top. Yeah.George [00:32:20]: So we saw a big jump in, this is accuracy. So this is just percent that they get, uh, correct and Gemini three pro knew a lot more than the other models. And so big jump in accuracy. But relatively no change between the Google Gemini models, between releases. And the hallucination rate. Exactly. And so it's likely due to just kind of different post-training recipe, between the, the Claude models. Yeah.Micah [00:32:45]: Um, there's, there's driven this. Yeah. You can, uh, you can partially blame us and how we define intelligence having until now not defined hallucination as a negative in the way that we think about intelligence.swyx [00:32:56]: And so that's what we're changing. Uh, I know many smart people who are confidently incorrect.George [00:33:02]: Uh, look, look at that. That, that, that is very humans. Very true. And there's times and a place for that. I think our view is that hallucination rate makes sense in this context where it's around knowledge, but in many cases, people want the models to hallucinate, to have a go. Often that's the case in coding or when you're trying to generate newer ideas. One eval that we added to artificial analysis is, is, is critical point and it's really hard, uh, physics problems. Okay.swyx [00:33:32]: And is it sort of like a human eval type or something different or like a frontier math type?George [00:33:37]: It's not dissimilar to frontier frontier math. So these are kind of research questions that kind of academics in the physics physics world would be able to answer, but models really struggled to answer. So the top score here is not 9%.swyx [00:33:51]: And when the people that, that created this like Minway and, and, and actually off via who was kind of behind sweep and what organization is this? Oh, is this, it's Princeton.George [00:34:01]: Kind of range of academics from, from, uh, different academic institutions, really smart people. They talked about how they turn the models up in terms of the temperature as high temperature as they can, where they're trying to explore kind of new ideas in physics as a, as a thought partner, just because they, they want the models to hallucinate. Um, yeah, sometimes it's something new. Yeah, exactly.swyx [00:34:21]: Um, so not right in every situation, but, um, I think it makes sense, you know, to test hallucination in scenarios where it makes sense. Also, the obvious question is, uh, this is one of. Many that there is there, every lab has a system card that shows some kind of hallucination number, and you've chosen to not, uh, endorse that and you've made your own. And I think that's a, that's a choice. Um, totally in some sense, the rest of artificial analysis is public benchmarks that other people can independently rerun. You provide it as a service here. You have to fight the, well, who are we to, to like do this? And your, your answer is that we have a lot of customers and, you know, but like, I guess, how do you converge the individual?Micah [00:35:08]: I mean, I think, I think for hallucinations specifically, there are a bunch of different things that you might care about reasonably, and that you'd measure quite differently, like we've called this a amnesty and solutionation rate, not trying to declare the, like, it's humanity's last hallucination. You could, uh, you could have some interesting naming conventions and all this stuff. Um, the biggest picture answer to that. It's something that I actually wanted to mention. Just as George was explaining, critical point as well is, so as we go forward, we are building evals internally. We're partnering with academia and partnering with AI companies to build great evals. We have pretty strong views on, in various ways for different parts of the AI stack, where there are things that are not being measured well, or things that developers care about that should be measured more and better. And we intend to be doing that. We're not obsessed necessarily with that. Everything we do, we have to do entirely within our own team. Critical point. As a cool example of where we were a launch partner for it, working with academia, we've got some partnerships coming up with a couple of leading companies. Those ones, obviously we have to be careful with on some of the independent stuff, but with the right disclosure, like we're completely comfortable with that. A lot of the labs have released great data sets in the past that we've used to great success independently. And so it's between all of those techniques, we're going to be releasing more stuff in the future. Cool.swyx [00:36:26]: Let's cover the last couple. And then we'll, I want to talk about your trends analysis stuff, you know? Totally.Micah [00:36:31]: So that actually, I have one like little factoid on omniscience. If you go back up to accuracy on omniscience, an interesting thing about this accuracy metric is that it tracks more closely than anything else that we measure. The total parameter count of models makes a lot of sense intuitively, right? Because this is a knowledge eval. This is the pure knowledge metric. We're not looking at the index and the hallucination rate stuff that we think is much more about how the models are trained. This is just what facts did they recall? And yeah, it tracks parameter count extremely closely. Okay.swyx [00:37:05]: What's the rumored size of GPT-3 Pro? And to be clear, not confirmed for any official source, just rumors. But rumors do fly around. Rumors. I get, I hear all sorts of numbers. I don't know what to trust.Micah [00:37:17]: So if you, if you draw the line on omniscience accuracy versus total parameters, we've got all the open ways models, you can squint and see that likely the leading frontier models right now are quite a lot bigger than the ones that we're seeing right now. And the one trillion parameters that the open weights models cap out at, and the ones that we're looking at here, there's an interesting extra data point that Elon Musk revealed recently about XAI that for three trillion parameters for GROK 3 and 4, 6 trillion for GROK 5, but that's not out yet. Take those together, have a look. You might reasonably form a view that there's a pretty good chance that Gemini 3 Pro is bigger than that, that it could be in the 5 to 10 trillion parameters. To be clear, I have absolutely no idea, but just based on this chart, like that's where you would, you would land if you have a look at it. Yeah.swyx [00:38:07]: And to some extent, I actually kind of discourage people from guessing too much because what does it really matter? Like as long as they can serve it as a sustainable cost, that's about it. Like, yeah, totally.George [00:38:17]: They've also got different incentives in play compared to like open weights models who are thinking to supporting others in self-deployment for the labs who are doing inference at scale. It's I think less about total parameters in many cases. When thinking about inference costs and more around number of active parameters. And so there's a bit of an incentive towards larger sparser models. Agreed.Micah [00:38:38]: Understood. Yeah. Great. I mean, obviously if you're a developer or company using these things, not exactly as you say, it doesn't matter. You should be looking at all the different ways that we measure intelligence. You should be looking at cost to run index number and the different ways of thinking about token efficiency and cost efficiency based on the list prices, because that's all it matters.swyx [00:38:56]: It's not as good for the content creator rumor mill where I can say. Oh, GPT-4 is this small circle. Look at GPT-5 is this big circle. And then there used to be a thing for a while. Yeah.Micah [00:39:07]: But that is like on its own, actually a very interesting one, right? That is it just purely that chances are the last couple of years haven't seen a dramatic scaling up in the total size of these models. And so there's a lot of room to go up properly in total size of the models, especially with the upcoming hardware generations. Yes.swyx [00:39:29]: So, you know. Taking off my shitposting face for a minute. Yes. Yes. At the same time, I do feel like, you know, especially coming back from Europe, people do feel like Ilya is probably right that the paradigm is doesn't have many more orders of magnitude to scale out more. And therefore we need to start exploring at least a different path. GDPVal, I think it's like only like a month or so old. I was also very positive when it first came out. I actually talked to Tejo, who was the lead researcher on that. Oh, cool. And you have your own version.George [00:39:59]: It's a fantastic. It's a fantastic data set. Yeah.swyx [00:40:01]: And maybe it will recap for people who are still out of it. It's like 44 tasks based on some kind of GDP cutoff that's like meant to represent broad white collar work that is not just coding. Yeah.Micah [00:40:12]: Each of the tasks have a whole bunch of detailed instructions, some input files for a lot of them. It's within the 44 is divided into like two hundred and twenty two to five, maybe subtasks that are the level of that we run through the agenda. And yeah, they're really interesting. I will say that it doesn't. It doesn't necessarily capture like all the stuff that people do at work. No avail is perfect is always going to be more things to look at, largely because in order to make the tasks well enough to find that you can run them, they need to only have a handful of input files and very specific instructions for that task. And so I think the easiest way to think about them are that they're like quite hard take home exam tasks that you might do in an interview process.swyx [00:40:56]: Yeah, for listeners, it is not no longer like a long prompt. It is like, well, here's a zip file with like a spreadsheet or a PowerPoint deck or a PDF and go nuts and answer this question.George [00:41:06]: OpenAI released a great data set and they released a good paper which looks at performance across the different web chat bots on the data set. It's a great paper, encourage people to read it. What we've done is taken that data set and turned it into an eval that can be run on any model. So we created a reference agentic harness that can run. Run the models on the data set, and then we developed evaluator approach to compare outputs. That's kind of AI enabled, so it uses Gemini 3 Pro Preview to compare results, which we tested pretty comprehensively to ensure that it's aligned to human preferences. One data point there is that even as an evaluator, Gemini 3 Pro, interestingly, doesn't do actually that well. So that's kind of a good example of what we've done in GDPVal AA.swyx [00:42:01]: Yeah, the thing that you have to watch out for with LLM judge is self-preference that models usually prefer their own output, and in this case, it was not. Totally.Micah [00:42:08]: I think the way that we're thinking about the places where it makes sense to use an LLM as judge approach now, like quite different to some of the early LLM as judge stuff a couple of years ago, because some of that and MTV was a great project that was a good example of some of this a while ago was about judging conversations and like a lot of style type stuff. Here, we've got the task that the grader and grading model is doing is quite different to the task of taking the test. When you're taking the test, you've got all of the agentic tools you're working with, the code interpreter and web search, the file system to go through many, many turns to try to create the documents. Then on the other side, when we're grading it, we're running it through a pipeline to extract visual and text versions of the files and be able to provide that to Gemini, and we're providing the criteria for the task and getting it to pick which one more effectively meets the criteria of the task. Yeah. So we've got the task out of two potential outcomes. It turns out that we proved that it's just very, very good at getting that right, matched with human preference a lot of the time, because I think it's got the raw intelligence, but it's combined with the correct representation of the outputs, the fact that the outputs were created with an agentic task that is quite different to the way the grading model works, and we're comparing it against criteria, not just kind of zero shot trying to ask the model to pick which one is better.swyx [00:43:26]: Got it. Why is this an ELO? And not a percentage, like GDP-VAL?George [00:43:31]: So the outputs look like documents, and there's video outputs or audio outputs from some of the tasks. It has to make a video? Yeah, for some of the tasks. Some of the tasks.swyx [00:43:43]: What task is that?George [00:43:45]: I mean, it's in the data set. Like be a YouTuber? It's a marketing video.Micah [00:43:49]: Oh, wow. What? Like model has to go find clips on the internet and try to put it together. The models are not that good at doing that one, for now, to be clear. It's pretty hard to do that with a code editor. I mean, the computer stuff doesn't work quite well enough and so on and so on, but yeah.George [00:44:02]: And so there's no kind of ground truth, necessarily, to compare against, to work out percentage correct. It's hard to come up with correct or incorrect there. And so it's on a relative basis. And so we use an ELO approach to compare outputs from each of the models between the task.swyx [00:44:23]: You know what you should do? You should pay a contractor, a human, to do the same task. And then give it an ELO and then so you have, you have human there. It's just, I think what's helpful about GDPVal, the OpenAI one, is that 50% is meant to be normal human and maybe Domain Expert is higher than that, but 50% was the bar for like, well, if you've crossed 50, you are superhuman. Yeah.Micah [00:44:47]: So we like, haven't grounded this score in that exactly. I agree that it can be helpful, but we wanted to generalize this to a very large number. It's one of the reasons that presenting it as ELO is quite helpful and allows us to add models and it'll stay relevant for quite a long time. I also think it, it can be tricky looking at these exact tasks compared to the human performance, because the way that you would go about it as a human is quite different to how the models would go about it. Yeah.swyx [00:45:15]: I also liked that you included Lama 4 Maverick in there. Is that like just one last, like...Micah [00:45:20]: Well, no, no, no, no, no, no, it is the, it is the best model released by Meta. And... So it makes it into the homepage default set, still for now.George [00:45:31]: Other inclusion that's quite interesting is we also ran it across the latest versions of the web chatbots. And so we have...swyx [00:45:39]: Oh, that's right.George [00:45:40]: Oh, sorry.swyx [00:45:41]: I, yeah, I completely missed that. Okay.George [00:45:43]: No, not at all. So that, which has a checkered pattern. So that is their harness, not yours, is what you're saying. Exactly. And what's really interesting is that if you compare, for instance, Claude 4.5 Opus using the Claude web chatbot, it performs worse than the model in our agentic harness. And so in every case, the model performs better in our agentic harness than its web chatbot counterpart, the harness that they created.swyx [00:46:13]: Oh, my backwards explanation for that would be that, well, it's meant for consumer use cases and here you're pushing it for something.Micah [00:46:19]: The constraints are different and the amount of freedom that you can give the model is different. Also, you like have a cost goal. We let the models work as long as they want, basically. Yeah. Do you copy paste manually into the chatbot? Yeah. Yeah. That's, that was how we got the chatbot reference. We're not going to be keeping those updated at like quite the same scale as hundreds of models.swyx [00:46:38]: Well, so I don't know, talk to a browser base. They'll, they'll automate it for you. You know, like I have thought about like, well, we should turn these chatbot versions into an API because they are legitimately different agents in themselves. Yes. Right. Yeah.Micah [00:46:53]: And that's grown a huge amount of the last year, right? Like the tools. The tools that are available have actually diverged in my opinion, a fair bit across the major chatbot apps and the amount of data sources that you can connect them to have gone up a lot, meaning that your experience and the way you're using the model is more different than ever.swyx [00:47:10]: What tools and what data connections come to mind when you say what's interesting, what's notable work that people have done?Micah [00:47:15]: Oh, okay. So my favorite example on this is that until very recently, I would argue that it was basically impossible to get an LLM to draft an email for me in any useful way. Because most times that you're sending an email, you're not just writing something for the sake of writing it. Chances are context required is a whole bunch of historical emails. Maybe it's notes that you've made, maybe it's meeting notes, maybe it's, um, pulling something from your, um, any of like wherever you at work store stuff. So for me, like Google drive, one drive, um, in our super base databases, if we need to do some analysis or some data or something, preferably model can be plugged into all of those things and can go do some useful work based on it. The things that like I find most impressive currently that I am somewhat surprised work really well in late 2025, uh, that I can have models use super base MCP to query read only, of course, run a whole bunch of SQL queries to do pretty significant data analysis. And. And make charts and stuff and can read my Gmail and my notion. And okay. You actually use that. That's good. That's, that's, that's good. Is that a cloud thing? To various degrees of order, but chat GPD and Claude right now, I would say that this stuff like barely works in fairness right now. Like.George [00:48:33]: Because people are actually going to try this after they hear it. If you get an email from Micah, odds are it wasn't written by a chatbot.Micah [00:48:38]: So, yeah, I think it is true that I have never actually sent anyone an email drafted by a chatbot. Yet.swyx [00:48:46]: Um, and so you can, you can feel it right. And yeah, this time, this time next year, we'll come back and see where it's going. Totally. Um, super base shout out another famous Kiwi. Uh, I don't know if you've, you've any conversations with him about anything in particular on AI building and AI infra.George [00:49:03]: We have had, uh, Twitter DMS, um, with, with him because we're quite big, uh, super base users and power users. And we probably do some things more manually than we should in. In, in super base support line because you're, you're a little bit being super friendly. One extra, um, point regarding, um, GDP Val AA is that on the basis of the overperformance of the models compared to the chatbots turns out, we realized that, oh, like our reference harness that we built actually white works quite well on like gen generalist agentic tasks. This proves it in a sense. And so the agent harness is very. Minimalist. I think it follows some of the ideas that are in Claude code and we, all that we give it is context management capabilities, a web search, web browsing, uh, tool, uh, code execution, uh, environment. Anything else?Micah [00:50:02]: I mean, we can equip it with more tools, but like by default, yeah, that's it. We, we, we give it for GDP, a tool to, uh, view an image specifically, um, because the models, you know, can just use a terminal to pull stuff in text form into context. But to pull visual stuff into context, we had to give them a custom tool, but yeah, exactly. Um, you, you can explain an expert. No.George [00:50:21]: So it's, it, we turned out that we created a good generalist agentic harness. And so we, um, released that on, on GitHub yesterday. It's called stirrup. So if people want to check it out and, and it's a great, um, you know, base for, you know, generalist, uh, building a generalist agent for more specific tasks.Micah [00:50:39]: I'd say the best way to use it is get clone and then have your favorite coding. Agent make changes to it, to do whatever you want, because it's not that many lines of code and the coding agents can work with it. Super well.swyx [00:50:51]: Well, that's nice for the community to explore and share and hack on it. I think maybe in, in, in other similar environments, the terminal bench guys have done, uh, sort of the Harbor. Uh, and so it's, it's a, it's a bundle of, well, we need our minimal harness, which for them is terminus and we also need the RL environments or Docker deployment thing to, to run independently. So I don't know if you've looked at it. I don't know if you've looked at the harbor at all, is that, is that like a, a standard that people want to adopt?George [00:51:19]: Yeah, we've looked at it from a evals perspective and we love terminal bench and, and host benchmarks of, of, of terminal mention on artificial analysis. Um, we've looked at it from a, from a coding agent perspective, but could see it being a great, um, basis for any kind of agents. I think where we're getting to is that these models have gotten smart enough. They've gotten better, better tools that they can perform better when just given a minimalist. Set of tools and, and let them run, let the model control the, the agentic workflow rather than using another framework that's a bit more built out that tries to dictate the, dictate the flow. Awesome.swyx [00:51:56]: Let's cover the openness index and then let's go into the report stuff. Uh, so that's the, that's the last of the proprietary art numbers, I guess. I don't know how you sort of classify all these. Yeah.Micah [00:52:07]: Or call it, call it, let's call it the last of like the, the three new things that we're talking about from like the last few weeks. Um, cause I mean, there's a, we do a mix of stuff that. Where we're using open source, where we open source and what we do and, um, proprietary stuff that we don't always open source, like long context reasoning data set last year, we did open source. Um, and then all of the work on performance benchmarks across the site, some of them, we looking to open source, but some of them, like we're constantly iterating on and so on and so on and so on. So there's a huge mix, I would say, just of like stuff that is open source and not across the side. So that's a LCR for people. Yeah, yeah, yeah, yeah.swyx [00:52:41]: Uh, but let's, let's, let's talk about open.Micah [00:52:42]: Let's talk about openness index. This. Here is call it like a new way to think about how open models are. We, for a long time, have tracked where the models are open weights and what the licenses on them are. And that's like pretty useful. That tells you what you're allowed to do with the weights of a model, but there is this whole other dimension to how open models are. That is pretty important that we haven't tracked until now. And that's how much is disclosed about how it was made. So transparency about data, pre-training data and post-training data. And whether you're allowed to use that data and transparency about methodology and training code. So basically, those are the components. We bring them together to score an openness index for models so that you can in one place get this full picture of how open models are.swyx [00:53:32]: I feel like I've seen a couple other people try to do this, but they're not maintained. I do think this does matter. I don't know what the numbers mean apart from is there a max number? Is this out of 20?George [00:53:44]: It's out of 18 currently, and so we've got an openness index page, but essentially these are points, you get points for being more open across these different categories and the maximum you can achieve is 18. So AI2 with their extremely open OMO3 32B think model is the leader in a sense.swyx [00:54:04]: It's hooking face.George [00:54:05]: Oh, with their smaller model. It's coming soon. I think we need to run, we need to get the intelligence benchmarks right to get it on the site.swyx [00:54:12]: You can't have it open in the next. We can not include hooking face. We love hooking face. We'll have that, we'll have that up very soon. I mean, you know, the refined web and all that stuff. It's, it's amazing. Or is it called fine web? Fine web. Fine web.Micah [00:54:23]: Yeah, yeah, no, totally. Yep. One of the reasons this is cool, right, is that if you're trying to understand the holistic picture of the models and what you can do with all the stuff the company's contributing, this gives you that picture. And so we are going to keep it up to date alongside all the models that we do intelligence index on, on the site. And it's just an extra view to understand.swyx [00:54:43]: Can you scroll down to this? The, the, the, the trade-offs chart. Yeah, yeah. That one. Yeah. This, this really matters, right? Obviously, because you can b

Send us a textIn Episode 233 of Book Talk Etc., Tina & Hannah discuss January books on the radar! It's a new year of reading and there are so many great books coming out this year–we're excited to get started!If you enjoy our commercial-free podcast, please consider supporting us on Patreon! Your membership will give you access to our exclusive bonus episodes, including Niche Novels, Books We DNFed, and What's in the Mailbag! Plus, you'll receive invites to monthly events like Mood Reader Happy Hour, Live Creativity Sprints and Bookstore Browse, and a private Facebook group and Discord server where you can interact with other fans of the show... all for just $5 a month!Loving LatelyCountry Road Candle Co (T)Ourmed Life Disposable Face Towels (H)Latest ReadJust Watch Me | Lior Torenberg (T)Culpability | Bruce Hollsinger (H)BOTRBloody Brick Road | Maude Royer (T)Is This A Cry for Help? | Emily Austin (H)Anatomy of an Alibi | Ashley Elston (T)The Last of Earth | Deepa Anappara (H)Very Slowly All at Once | Lauren Schott (T)Rules of the Heart | Janice Hadlow (H)The Seven Daughters of Dupree | Nikesha Elise Williams (T)The Future Saints | Ashley Winstead (H)Missing Sam | Thirty Umrigar (T)Crux | Gabriel Tallent (H)Other LinksBTE Storygraph ChallengeCurrent Read: Party of Two | Jasmine Guillory (T)Needle Lake  | Justine Champine (H)If you prefer other shopping options, you can find today's books on Bookshop.org or Blackwell's. Purchasing through these links supports us with a small commission, at no extra cost to you.Support the showLet's Connect... Email us at booktalketc@gmailBTE on YoutubeTina's TikTok , IG @tbretc YT @tbretcHannah's TikTok , IG @hanpickedbooksJonathan IG @infiltrate_jayPodcast IG @booktalketcRenee's Substack Newsletter , IG@Itsbooktalk

Welcome to episode 335 of The Cloud Pod, where the forecast is always cloudy! Welcome to the first show of 2026, and it's a full house, too! Justin, Jonathan, Ryan,  and Matt are all here to reflect on 2025, plus bring you their predictions for 2026. Let's get started!  Titles we almost went with this week SQL Me Maybe: AlloyDB Gets Chatty With Your Database **OpenAI SELECT * FROM natural_language WHERE accuracy LIKE ‘100%’ **Anthropic etcd You Were Worried About Database Limits: CloudWatch Has Your Back CSV You Later: Looker Adds Drag-and-Drop Data Uploads AWS Spots an Opportunity to Manage Your Container Costs EKS Network Policies: No More IP Address Whack-a-Mole AWS Security Hub Splits: It’s Not You, It’s CSPM Spot On: ECS Finally Manages Your Cheapest Compute TOON Squad: DigitalOcean’s New Format Makes JSON Look Bloated The Price is Wrong: AWS Breaks Two Decades of Downward Pricing Tradition Show Your Work: Why AI-Generated Code Without Tests is Just Expensive Spam No More Agent Orange: Google Simplifies VM Extension Deployment AWS Discovers Prices Can Go Both Ways, Raises GPU Costs 15 Percent Sovereignty Washing: When Your European Cloud Still Answers to Uncle Sam Agent Builder Gets a Memory Upgrade: Google’s AI Finally Remembers Where It Put Its Keys Ctrl+F for the Future: A year-end Scorecard & Next-Gen Bets AI Agents, GPU Prices, and The best of the Cloud Pod 2025 Beyond the Hype: The Cloud Pods Definitive 2025 Year in Review Apocalypse Now… What? Our 2026 Forecast Follow Up  01:27 RYAN’S PREDICTIONS Prediction Status Notes Quick LLM models for individuals ACCURATE Meta-Llama-3.1-8B-Instruct, GLM-4-9B-0414, and Qwen2.5-VL-7B-Instruct—each chosen for an outstanding balance of performance and computational efficiency, making them ideal for edge AI deployment. A new AI inference application called Inferencer allows even modest Apple Mac computers to run the largest open-source LLMs. AI at the edge natively (Lambda-esque) ACCURATE Akamai launched a new Inference Cloud product for edge AI using Nvidia’s Blackwell 6000 GPUs in 17 cities. AWS IoT Greengrass with Lambda functions for edge logic. “Edge AI allows for instant decision-making where it matters most—close to the data source.” Cloud native security mesh multi-cloud UNCLEAR Service mesh technologies continue to evolve (Istio, Linkerd), but I didn’t find a breakthrough “app-to-app at the edge” security mesh product announcement in 2025. This one needs more specific evidence. Ryan Score: 2/3 02:25 MATTHEW’S PREDICTIONS Prediction Status Notes FOCUS adopted by Snowflake or Databricks ACCURATE FOCUS version 1.2 was ratified on May 29, 2025. Three new providers announced support: Alibaba Cloud, Databricks, and Grafana. Databricks officially adopted FOCUS! AI security/ethical standard (SOC or ISO) ACCURATE ISO 42001 is the first international standard outlining requirements for AI governance. Major companies achieving certification in 2025: Automation Anywhere is among the first 100 companies worldwide to earn ISO/IEC 42001:2023 certification. Anthropic also achieved ISO 42001 certification. Amazon deprecates 5+ services (WorkMail bonus) ACCURATE (no bonus) 19 services are mothballed, four are being sunset, and one is end of its supported life. Deprecated services include CodeCommit, Cloud9, S3 Select, CloudSearch, SimpleDB, Forecast, Data Pipeline, QLDB, Snowball Edge, and more. WorkMail NOT deprecated – WorkDocs was (April 2025), but WorkMail remains active. Matthew Score: 3/3 03:22 JONATHAN’S PREDICTIONS Prediction Status Notes Company claims AGI achieved ACC

On this episode of Currently Reading, Kaytee and Meredith are deep diving into their top reads of 2025. This year, they alternate between reads and superlatives. From best Cheeto chapters to books that made them uncomfortable, the year had some amazing books and experiences. Show notes are time-stamped below for your convenience. Read the transcript of the episode (this link only works on the main site) .  .  .  1:35 - Ad For Ourselves 1:54 - NYT Article about book podcasts "Seven Podcasts for Bookworms" 2:27 - Currently Reading Patreon 5:23 - Some Stats From Our Reading Lives 7:07 - 68% of reads were backlist (Kaytee) 7:38 - Kaytee read 230 books 7:59 - Meredith read 127 books 8:54 - 64% female/36%male authors (Meredith) 9:09 - Average rating of 4.1 (Meredith) 10:53 - 44% Kindle, 13% audiobook, poetry 4% of total reads, 17% nonfiction (Meredith) 12:28 - 22% romance, 20% fantasy, 14% as literary (Kaytee) 14:34 - 32% authors revisited, library serendipity #1 recommendation source followed by Elizabeth Barnhill, Roxanna and Betsie Ikenberry (Meredith) 16:13 - Katie Proctor #1 recommendation source, followed by the indie press list, libro. Fm, and Meredith (Kaytee) 17:55 - Berkeley and Random House biggest publishing houses, followed by Harper, William Morrow, Atria and Flatiron Books (Kaytee) 18:21 - Minotaur, Atria and Random House biggest publishing houses (Meredith) 19:57 - Our Top 10 Reads of 2025 20:27 - Superlative #1: Book or books you will recommend most from this year? 20:39 - A Rebellion of Care by David Gate (Kaytee) 21:20 - So Far Gone by Jess Walter (Meredith) 23:25 - The Ghostwriter by Julie Clark (Meredith #10) 24:08 - You Could Make This Place Beautiful by Maggie Smith (Kaytee #10) 24:28 - Awake by Jen Hatmaker 24:30 - I Thought It Would Be Better Than This by Jessica Turner 25:30 - Superlative #2: Which book would be hardest to shelve in the library? 25:51 - Turns of Fate by Anne Bishop (Meredith) 26:02 - The Tainted Cup by Robert Jackson Bennett 27:01 - My Lady Jane by Cynthia Hand, Brodi Ashton and Jodi Meadows (Kaytee) 27:55 - Royal Gambit by Daniel O'Malley (Meredith #9) 29:32 - Death of the Author by Nnedi Okorafor (Kaytee #9) 30:31 - Superlative #3: The book we wanted to throw across the room 30:38 - Death of the Author by Nnedi Okorafor (Meredith) 32:23 - Secret of Secrets by Dan Brown (Kaytee) 33:11 - The Time Traveler's Wife by Audrey Niffenegger 33:57 - A Winter's Promise by Christelle Dabos (Meredith #8) 35:53 - My Friends by Fredrik Backman (Kaytee #8) 37:16 - Superlative #4: The book that made you the most uncomfortable 37:29 - Eager by Ben Goldfarb (Kaytee) 38:57 - Sandy Hook by Eilzabeth Williamson (Meredith) 40:25 - Forensics by Val McDermid (Meredith #7) 41:52 - Forensics by Val McDermid (Blackwells edition) 42:24 - Prodigal Summer by Barbara Kingsolver (Kaytee #7) 42:52 - Demon Copperhead by Barbara Kingsolver 43:42 - Superlative #5: The best picture book that you read aloud this year 44:15 - No, David! By David Shannon (Meredith) 45:07 - The Creature of Habit by Jennifer E. Smith and Leo Espinosa (Kaytee) 46:35 - The Correspondent by Virginia Evans (Meredith AND Kaytee #6) 47:33 - CR Season 7: Episode 46 49:09 - Superlative #6: The best audiobook experience 49:23 - Woodworking by Emily St. James (Kaytee) 50:19 - This Book Will Bury Me by Ashley Winstead (Meredith) 51:38 - North Sun by Ethan Rutherford (Meredith #5) 52:53 - This Changes Everything by Tyler Merritt (Kaytee #5) 53:01 - I Take My Coffee Black by Tyler Merritt 54:31 - Superlatives #7: Longest and shortest book read this year 54:46 - A Little Daylight Left by Sarah Kay (Meredith shortest) 55:03 - The Shadow Rising by Robert Jordan (Meredith longest) 55:34 - The Answer is No by Fredrik Backman (Kaytee shortest, amazon link) 55:53 - These Truths by Jill Lepore (Kaytee longest) 56:20 - The Stand by Stephen King 57:16 - The Unseen World by Liz Moore (Meredith #4) 57:25 - The God of the Woods by Liz Moore 58:50 - This is Happiness by Niall Williams (Kaytee #4) 59:57 - Superlative #8: Best book outside your wheelhouse 1:00:09 - The Dragon Reborn by Robert Jordan (Meredith) 1:01:07 - The Dutch House by Ann Patchett (Kaytee) 1:01:30 - Erasure by Percival Everett 1:01:32 - A Wish in the Dark by Christina Soontornvat 1:03:34 - The Goblin Emperor by Katherine Addison (Meredith #3) 1:07:15 - Most Ardently by Gabe Cole Novoa (Kaytee #3) 1:07:31 - Pride by Ibi Zoboi 1:08:56 - Superlative #9: Your favorite new to you author 1:09:08 - Swordheart by T. Kingfisher (Meredith) 1:09:31 - Stone Yard Devotional by Charlotte Wood (Meredith) 1:09:48 - Song of Blood & Stone by L. Penelope (Kaytee) 1:10:12 - The Monsters We Defy by Leslye Penelope 1:11:03 - Victorian Psycho by Virginia Feito (Meredith #2) 1:12:37 - Take What You Can Carry by Gian Sardar (Kaytee #2) 1:14:07 - Superlative #10: The most milkshake book/cheeto chapter book you read this year 1:14:50 - The Other Side of the Wall by Andrea Mara (Meredith, Blackwell's link) 1:14:57 - All Her Fault by Andrea Mara 1:15:53 - The Reappearance of Rachel Price by Holly Jackson (Meredith) 1:16:35 - The Mysterious Case of the Alperton Angels by Janice Hallett (Kaytee) 1:18:14 - Lady Tremaine by Rachel Hockhauer (Meredith #1) 1:20:57 - Impossible Creatures by Katherine Rundell (Kaytee #1) 1:23:13 - book print etsy shop Support Us: Become a Bookish Friend | Grab Some Merch Shop Bookshop dot org | Shop Amazon Bookish Friends Receive: The Indie Press List with a curated list of five books hand sold by the indie of the month. January's IPL is our annual visit to Fabled Bookshop in Waco, Texas. Love and Chili Peppers with Kaytee and Rebekah - romance lovers get their due with this special episode focused entirely on the best selling genre fiction in the business.  All Things Murderful with Meredith and Elizabeth - special content for the scary-lovers, brought to you with the behind-the-scenes insights of an independent bookseller From the Editor's Desk with Kaytee and Bunmi Ishola - a quarterly peek behind the curtain at the publishing industry The Bookish Friends Facebook Group - where you can build community with bookish friends from around the globe as well as our hosts Connect With Us: The Show: Instagram | Website | Email | Threads The Hosts and Regulars: Meredith | Kaytee | Mary | Roxanna Production and Editing: Megan Phouthavong Evans Affiliate Disclosure: All affiliate links go to Bookshop unless otherwise noted. Shopping here helps keep the lights on and benefits indie bookstores. Thanks for your support!

In the conclusion to this story, Ellen, Marco, and Cal come up with a plan to save Ned's soul and imprison Dr. Blackwell. Will they free him? Or will Dr. Blackwell now not only possess Ned's soul, but Ellen's as well?  What will become of the Liminal Lodge if the plan doesn't work? And what will become of it if it does? For Merch and everything else Bad Magic related, head to: https://www.badmagicproductions.com Subscribe to SiriusXM Podcasts+ to listen to new episodes of Scared to Death ad-free and a whole week early. Start a free trial now on Apple Podcasts or by visiting siriusxm.com/podcastsplus. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

As a music genre, plunderphonics is somewhat misunderstood. While the genre is based on samples, much like hip-hop, it isn't just music made from other music. It utilizes samples to push the boundaries of copyright -- what is fair use, what is public domain, who truly owns a piece of music? Matthew Blackwell's new book for 33 1/3's GENRE series, Plunderphonics, traces the genre back to the quote-heavy compositions of early 20th Century composer Charles Ives and follows it up through the mash-up madness of Danger Mouse and Girl Talk. Along the way, Blackwell looks at the recordings and legal battles of diverse artists like Bay Area pranksters Negativland, comedy pioneers Buchanan and Goodman, hip-hop legends De La Soul, Biz Markie, and Beastie Boys, Aussie art-poppers The Avalanches, and avant-garde theorist (and coiner of the term Plunderphonics) John Oswald. Bookseller and writer Justin Remer talks with Blackwell about all these artists and more of the tidbits contained in his new book. Hosted and produced by Justin Remer.  Recorded remotely via Zencastr.  Fan of audiobooks? Check out the "On the Skylight Pod" playlist on Libro.FM - https://libro.fm/playlists/skylight-podcast Opening music: "Optimism (Instrumental)" by Duck the Piano Wire.  Closing music: "Rule of 3s (Solemnity Child)" by Elastic No-No Band. 

On this episode of Currently Reading, Kaytee and Meredith are taking a look back at their favorite reads of 2021. This was one of the best reading years. This was also the year we added the superlatives which everybody loved! Most of these books should be available for you to grab if any interest you after hearing us rave about them! Show notes are time-stamped below for your convenience. Read the transcript of the episode (this link only works on the main site) .  .  .  2:38 - Our Top 10 Reads of 2021 12:35 - Legendborn by Tracy Deonn (Kaytee #10) 12:39 - Season 3: episode 40 14:09 - Currently Reading Patreon 16:39 - Fablehaven by Brandon Mull  16:52 - A Place to Hang the Moon by Kate Albus (Meredith #10) 18:50 - The Love Hypothesis by Ali Hazelwood (Kaytee #9) 21:25 - Furyborn by Claire Legrand 21:36 - Shadow and Bone by Leigh Bardugo  21:56 - A Court of Wings and Ruin by Sarah J. Maas (Meredith #9) 22:21 - A Court of Mist and Fury by Sarah J. Maas 23:01 - A Court of Thorns and Roses by Sarah J. Maas 23:46 - The Day The World Came to Town by Jim DeFede (Kaytee #8) 23:50 - Season 4: Episode 14 25:32 - Wintering: The Power of Rest and Retreat in Difficult Times by Katherine May (Meredith #8) 25:41 - Season 3: Episode 41 29:03 - Project Hail Mary by Andy Weir (Kaytee #7) 29:25 - Season 3: Episode 42 31:41 - State of Terror by Hilary Rodham Clinton and Louise Penny (Meredith #7) 34:22 - Intermission: Lowest Rated Books 34:58 - Roar by Cecilia Ahern (Kaytee) 35:41 - Atomic City Girls by Janet Beard (Kaytee) 36:48 - Survivor Song by Paul Tremblay (Meredith) 37:30 - Survive the Night by Riley Sager (Meredith) 38:25 - Meredith and Kaytee's Top 10 Books of the Year cont'd 38:36 - Love Lives Here by Rowan Jette Knox (Kaytee #6) K NOTE: while I do think it's clear that I love my sister dearly here, I want to be extra super clear that when I say "love covers all manner of sins" I am referring to the ways we as her family fail at times to do the best we can. I am not in any way referring to her gender identity as a sin. My sister knows this, but I want to be sure that anyone else who hears me, hears me correctly as well. 40:25 - Pony by R.J. Palacio (Meredith #6) 40:50 - Page & Palette Bookshop 42:05 - Wonder by R.J. Palacio 43:01 - The Guncle by Steven Rowley (Kaytee #5) 43:04 - Season 3: Episode 45 44:29 - The Devotion of Suspect X by Keigo Higashino (Meredith #5) 47:46 - Amari and the Night Brothers by B.B. Alston (Kaytee #4) 47:51 - Season 3: Episode 35 47:56 - Bookshelf Thomasville 48:47 - Blackwell's 49:05 - Nevermoor by Jessica Townsend 49:06 - Harry Potter and the Sorcerer's Stone by J.K. Rowling 49:28 - 56 Days by Catherine Ryan Howard  49:37 - The Nothing Man by Catherine Ryan Howard (Meredith #4) 53:14 - Intermission: The Books that Surprised Us Most in 2021 53:44 - Season 3: Episode 34 53:50 - The Black Count by Tom Reiss (Kaytee) 55:38 - Piranesi by Susanna Clarke (Meredith) 59:25 - Meredith and Kaytee's Top 10 Books of the Year cont'd 59:50 - How the Word is Passed by Clint Smith (Kaytee #3) 59:56 - Season 4: Episode 19 1:01:37 - Fabled Bookshop 1:01:39 - We Begin at the End by Chris Whitaker (Meredith #3) 1:04:52 - Razorblade Tears by S.A. Cosby (Kaytee #2) 1:04:56 - Season 4: Episode 2 1:07:18 - Matrix by Lauren Groff (Meredith #2) 1:07:59 - Fates and Furies by Lauren Groff 1:11:14 - All The Lonely People by Mike Gayle (Kaytee #1) 1:11:22 - Season 4: Episode 12 1:11:38 - Minisode w/Mike Gayle 1:14:09 - A Gentleman in Moscow by Amor Towles (Meredith #1) 1:15:42 - The Count of Monte Cristo by Alexandre Dumas 1:22:48 - Reflections from the 2021 Reading Year 1:24:25 - Pony by R.J. Palacio 1:24:45 - Amari and the Night Brothers by B.B. Alston   Support Us: Become a Bookish Friend | Grab Some Merch Shop Bookshop dot org | Shop Amazon Bookish Friends Receive: The Indie Press List with a curated list of five books hand sold by the indie of the month. December's IPL is a recap of the year with Kaytee and Meredith. Love and Chili Peppers with Kaytee and Rebekah - romance lovers get their due with this special episode focused entirely on the best selling genre fiction in the business.  All Things Murderful with Meredith and Elizabeth - special content for the scary-lovers, brought to you with the behind-the-scenes insights of an independent bookseller From the Editor's Desk with Kaytee and Bunmi Ishola - a quarterly peek behind the curtain at the publishing industry The Bookish Friends Facebook Group - where you can build community with bookish friends from around the globe as well as our hosts Connect With Us: The Show: Instagram | Website | Email | Threads The Hosts and Regulars: Meredith | Kaytee | Mary | Roxanna Production and Editing: Megan Phouthavong Evans Affiliate Disclosure: All affiliate links go to Bookshop unless otherwise noted. Shopping here helps keep the lights on and benefits indie bookstores. Thanks for your support!

None of the roundtable participants like the term "super soldier." The only reason it is being used is because most in the alternative media community are familiar with it. A more appropriate term would be "enhanced humans" or perhaps "genetically modified transhumans." The future of war is going to look really, really weird. The super soldier research that DARPA is working on right now is unlike anything we have ever seen before. If DARPA is successful, and if the American people don't object, the soldiers of the future will be genetically modified transhumans capable of superhuman feats. Do you want a soldier that can run faster than Usain Bolt? DARPA is working on that. Do you want a soldier that won't need food or sleep for days? DARPA is working on that. Do you want a soldier that can regrow lost limbs? DARPA is working on that. Do you want a soldier that can outlift Olympic weightlifters and communicate telepathically? DARPA is working on that. Americans flock to movies about superheroes and mutants, and soon they may actually have real life superheroes and mutants fighting their wars for them. But at what cost? According to the U.S. Army's plans for the future, soldiers will be able to carry huge weights, live off their fat stores for extended periods, and even regrow limbs blown apart by bombs. Most gene modification techniques involve placing genetically modified DNA inside a virus and injecting it into the human body. The virus then enters human cells, and its modified DNA attaches itself to human DNA inside those cells. When you really stop and think about this kind of technology, the implications are staggering. Could viruses be used to genetically modify humanity on a large scale? How would the rest of humanity respond to a "super race" of mutants that are clearly superior to the rest of us? When you start messing with creation, it opens Pandora's Box. The possibilities are endless, but so are the potential problems. Just because we can do something does not mean that we should. There may be consequences decades down the road that we cannot even conceive of right now. Other super soldier research projects involve advanced technology and robotics rather than genetic modification. DARPA's Silent Talk program has been exploring mind-reading technology with devices that can pick up electrical signals inside soldiers' brains and send them over the internet. With these implants, entire armies will be able to talk without radios. Orders will leap instantly into soldiers' heads and commanders' wishes will become the wishes of their men. DARPA is also developing exoskeletons that will enable soldiers to lift incredible weights without tiring and perform physical tasks that normal soldiers simply could not do. They are also hoping to implant microchips that will constantly monitor the health and physical condition of soldiers in the field. Technology has progressed to the point where it would definitely be possible for a scientific dictatorship to completely and totally dominate humanity unlike anything we have ever seen before. We should be very careful about what we create. We might be creating our own living hell.

We've got puffins, peacocks and penguins galore! A full list of titles in the Penguin series can be found at penguinfirsteditions.com. The next book discussed in this series will be The Documents in the Case by Dorothy L. Sayers and Robert Eustace. Support the podcast by joining the Shedunnit Book Club and get extra Shedunnit episodes every month plus access to the monthly reading discussions and community: shedunnitbookclub.com/join. Books mentioned in this episode:— The Missing Moneylender by W. Stanley Sykes— A Little Princess by Frances Hodgson Burnett— Ballet Shoes by Noel Streatfeild— Apple Bough by Noel Streatfeild— Jennings and Darbishire by Anthony Buckeridge— How to Be Topp by Geoffrey Willans— Still She Wished For Company by Margaret Irwin— I Capture the Castle by Dodie Smith— Raffles by E.W. Hornung— The Four Just Men by Edgar Wallace— Green for Danger by Christiana Brand— The Plague Court Murders by John Dickson Carr— The Red Widow Murders by John Dickson Carr— The White Priory by John Dickson Carr— The House on Tollard Ridge by John Rhode— The Dangerfield Talisman by J.J. Connington— The Man in the Dark by John Ferguson— In Spite of Thunder by John Dickson Carr— Postern to Fate by Agatha Christie— Passenger to Frankfurt by Agatha Christie— Trent's Last Case by E.C. Bentley— The Mysterious Affair at Styles by Agatha Christie— The Chinese Gold Murders by Robert Van Gulik— The Rasp by Philip MacDonald— The Crime at Black Dudley by Margery Allingham— The Big Sleep by Raymond Chandler— Farewell, My Lovely by Raymond Chandler— The Documents in the Case by Dorothy L. Sayers and Robert Eustace NB: Links to Blackwell's are affiliate links, meaning that the podcast receives a small commission when you purchase a book there (the price remains the same for you). Blackwell's is a UK bookselling chain that ships internationally at no extra charge. To be the first to know about future developments with the podcast, sign up for the newsletter at shedunnitshow.com/newsletter. Learn more about your ad choices. Visit megaphone.fm/adchoices

Sean Jimenez is a former retailer turned wholesaler with over 25 years in the industry. He currently manages more than 40 sales reps for a multi-million-dollar novelty sock and design company based in Santa Cruz, California. Over the course of his career, Sean has built apparel programs for Fortune 500 companies, managed full design teams for large private-label programs, worked in off-price, and sold everything from Hawaiian shirts to $50,000 stereo systems. He's met more than a few characters along the way, made as many friends as possible, and lives by the rule: never say no — there's always a way; try to be kind to everyone you meet, because you never know when you might need them, and you can never have too many friends. When he's not working (which isn't often), Sean works on the house, spends time with his wife and kids, occasionally drinks and smokes too many cigars (apparently), and has been playing in a band for about 12 years. Rock and roll, baby.Rachel Blackwell has been with Socksmith for six years, leading the company's marketing efforts with a focus on building meaningful partnerships and standout brand experiences. Originally from the UK, she began her career with Volkswagen before trading British drizzle for California sunshine — thanks to a fateful trip to Las Vegas and one tall, dark, and handsome Californian. At Socksmith, Rachel oversees everything from social campaigns to retail support programs, including the brand-new Retailer of the Year (ROTY) initiative. Whether she's crafting engaging content or finding fresh ways to support stockists, Rachel brings a creative, strategic, and fun approach to everything she does.In this episode, Sean and Rachel pull back the curtain on what it really takes to build a values-driven brand in today's retail landscape. From decades of relationship-first selling to modern marketing strategies that actually support independent retailers, this conversation dives deep into leadership, loyalty, and long-game thinking in wholesale, marketing, and brand building.We are incredibly grateful for everyone who listens to and shares this podcast! If you've found value in our episodes and want to help us keep creating, we've made it easy through Buy Me a Coffee. Any contributions from $5 up to $200 help cover the real costs of podcasting—editing, hosting fees, and everything else that goes into bringing you quality content. It's a way for you to invest in the conversations and topics that matter to you. Head to buymeacoffee.com/retailwhorb, and as always, thank you for your continued support! What's InsideHow Socksmith supports independent retailers beyond discounts — from marketing assets to community-first initiativesWhy relationships, consistency, and showing up still matter more than ever in wholesale and sales leadershipA behind-the-scenes look at Socksmith's new Retailer of the Year (ROTY) program and how it celebrates creativity, merchandising, and community impactROTY Blog and Info PageBecome a Socksmith Retailer HereSocksmith WebsiteInstagramFacebookSupport the show

Paige and Nick discuss Wisconsin junior guard John Blackwell and Texas junior forward Dailyn Swain in this Deep Dives episode. They start out by covering Blackwell's remarkable scoring arsenal, his early-season struggles with finishing around the basket, and his defensive areas for improvement. Then, they talk about Swain, his shooting struggles, his developments as a shooter, and his overall defensive contributions. Finally, they wrap up by talking about some of their favorite holiday season drops from the NBA over the years--whether in terms of shoes or other things. Timestamps: 2:00: John Blackwell 30:00: Dailyn Swain 1:05:00: NBA/holiday talk To learn more about listener data and our privacy practices visit: https://www.audacyinc.com/privacy-policy Learn more about your ad choices. Visit https://podcastchoices.com/adchoices

Paige and Nick discuss Wisconsin junior guard John Blackwell and Texas junior forward Dailyn Swain in this Deep Dives episode. They start out by covering Blackwell's remarkable scoring arsenal, his early-season struggles with finishing around the basket, and his defensive areas for improvement. Then, they talk about Swain, his shooting struggles, his developments as a shooter, and his overall defensive contributions. Finally, they wrap up by talking about some of their favorite holiday season drops from the NBA over the years--whether in terms of shoes or other things. Timestamps: 2:00: John Blackwell 30:00: Dailyn Swain 1:05:00: NBA/holiday talk To learn more about listener data and our privacy practices visit: https://www.audacyinc.com/privacy-policy Learn more about your ad choices. Visit https://podcastchoices.com/adchoices

This week we talk about energy consumption, pollution, and bipartisan issues.We also discuss local politics, data center costs, and the Magnificent 7 tech companies.Recommended Book: Against the Machine by Paul KingsnorthTranscriptIn 2024, the International Energy Agency estimated that data centers consumed about 1.5% of all electricity generated, globally, that year. It went on to project that energy consumption by data centers could double by 2030, though other estimates are higher, due to the ballooning of investment in AI-focused data centers by some of the world's largest tech companies.There are all sorts of data centers that serve all kinds of purposes, and they've been around since the mid-20th century, since the development of general purposes digital computers, like the 1945 Electronic Numerical Integrator and Computer, or ENIAC, which was programmable and reprogrammable, and used to study, among other things, the feasibility of thermonuclear weapons.ENIAC was built on the campus of the University of Pennsylvania and cost just shy of $500,000, which in today's money would be around $7 million. It was able to do calculators about a thousand times faster than other, electro-mechanical calculators that were available at the time, and was thus considered to be a pretty big deal, making some types of calculation that were previously not feasible, not only feasible, but casually accomplishable.This general model of building big-old computers at a center location was the way of things, on a practical level, until the dawn of personal computers in the 1980s. The mainframe-terminal setup that dominated until then necessitated that the huge, cumbersome computing hardware was all located in a big room somewhere, and then the terminal devices were points of access that allowed people to tap into those centralized resources.Microcomputers of the sort of a person might have in their home changed that dynamic, but the dawn of the internet reintroduced something similar, allowing folks to have a computer at home or at their desk, which has its own resources, but to then tap into other microcomputers, and to still other larger, more powerful computers across internet connections. Going on the web and visiting a website is basically just that: connecting to another computer somewhere, that distant device storing the website data on its hard drive and sending the results to your probably less-powerful device, at home or work.In the late-90s and early 2000s, this dynamic evolved still further, those far-off machines doing more and more heavy-lifting to create more and more sophisticated online experiences. This manifested as websites that were malleable and editable by the end-user—part of the so-called Web 2.0 experience, which allowed for comments and chat rooms and the uploading of images to those sites, based at those far off machines—and then as streaming video and music, and proto-versions of social networks became a thing, these channels connecting personal devices to more powerful, far-off devices needed more bandwidth, because more and more work was being done by those powerful, centrally located computers, so that the results could be distributed via the internet to all those personal computers and, increasingly, other devices like phones and tablets.Modern data centers do a lot of the same work as those earlier iterations, though increasingly they do a whole lot more heavy-lifting labor, as well. They've got hardware capable of, for instance, playing the most high-end video games at the highest settings, and then sending, frame by frame, the output of said video games to a weaker device, someone's phone or comparably low-end computer, at home, allowing the user of those weaker devices to play those games, their keyboard or controller inputs sent to the data center fast enough that they can control what's happening and see the result on their own screen in less than the blink of an eye.This is also what allows folks to store backups on cloud servers, big hard drives located in such facilities, and it's what allows the current AI boom to function—all the expensive computers and their high-end chips located at enormous data centers with sophisticated cooling systems and high-throughput cables that allow folks around the world to tap into their AI models, interact with them, have them do heavy-lifting for them, and then those computers at these data centers send all that information back out into the world, to their devices, even if those devices are underpowered and could never do that same kind of work on their own.What I'd like to talk about today are data centers, the enormous boom in their construction, and how these things are becoming a surprise hot button political issue pretty much everywhere.—As of early 2024, the US was host to nearly 5,400 data centers sprawled across the country. That's more than any other nation, and that number is growing quickly as those aforementioned enormous tech companies, including the Magnificent 7 tech companies, Nvidia, Apple, Alphabet, Microsoft, Amazon, Meta, and Tesla, which have a combined market cap of about $21.7 trillion as of mid-December 2025, which is about two-thirds of the US's total GDP for the year, and which is more than the European Union's total GDP, which weighs in at around $19.4 trillion, as of October 2025—as they splurge on more and more of them.These aren't the only companies building data centers at breakneck speed—there are quite a few competitors in China doing the same, for instance—but they're putting up the lion's share of resources for this sort of infrastructure right now, in part because they anticipate a whole lot of near-future demand for AI services, and those services require just a silly amount of processing power, which itself requires a silly amount of monetary investment and electricity, but also because, first, there aren't a lot of moats, meaning protective, defensive assets in this industry, as is evidenced by their continual leapfrogging of each other, and the notion that a lot of what they're doing, today, will probably become commodity services in not too long, rather than high-end services people and businesses will be inclined to pay big money for, and second, because there's a suspicion, held by many in this industry, that there's an AI shake-out coming, a bubble pop or bare-minimum a release of air from that bubble, which will probably kill off a huge chunk of the industry, leaving just the largest, too-big-to-fail players still intact, who can then gobble up the rest of the dying industry at a discount.Those who have the infrastructure, who have invested the huge sums of money to build these data centers, basically, will be in a prime position to survive that extinction-level event, in other words. So they're all scrambling to erect these things as quickly as possible, lest they be left behind.That construction, though, is easier said than done.The highest-end chips account for around 70-80% of a modern data center's cost, as these GPUs, graphical processing units that are optimized for AI purposes, like Nvidia's Blackwell chips, can cost tens of thousands of dollars apiece, and millions of dollars per rack. There are a lot of racks of such chips in these data centers, and the total cost of a large-scale AI-optimized data center is often somewhere between $35 and $60 billion.A recent estimate by McKinsey suggests that by 2030, data center investment will need to be around $6.7 trillion a year just to keep up the pace and meet demand for compute power. That's demand from these tech companies, I should say—there's a big debate about where there's sufficient demand from consumers of AI products, and whether these tech companies are trying to create such demand from whole cloth, to justify heightened valuations, and thus to continue goosing their market caps, which in turn enriches those at the top of these companies.That said, it's a fair bet that for at least a few more years this influx in investment will continue, and that means pumping out more of these data centers.But building these sorts of facilities isn't just expensive, it's also regulatorily complex. There are smaller facilities, akin to ENIAC's campus location, back in the day, but a lot of them—because of the economies of scale inherent in building a lot of this stuff all at once, all in the same place—are enormous, a single data center facility covering thousands of acres and consuming a whole lot of power to keep all of those computers with their high-end chips running 24/7.Previous data centers from the pre-AI era tended to consume in the neighborhood of 30MW of energy, but the baseline now is closer to 200MW. The largest contemporary data centers consume 1GW of electricity, which is about the size of a small city's power grid—that's a city of maybe 500,000-750,000 people, though of course climate, industry, and other variables determine the exact energy requirements of a city—and they're expected to just get larger and more resource-intensive from here.This has resulted in panic and pullbacks in some areas. In Dublin, for instance, the government has stopped issuing new grid connections for data centers until 2028, as it's estimated that data centers will account for 28% of Ireland's power use by 2031, already.Some of these big tech companies have read the writing on the wall, and are either making deals to reactivate aging power plants—nuclear, gas, coal, whatever they can get—or are saying they'll build new ones to offset the impact on the local power grid.And that impact can be significant. In addition to the health and pollution issues caused by some of the sites—in Memphis, for instance, where Elon Musk's company, xAI, built a huge data center to help power his AI chatbot, Grok, the company is operating 35 unpermitted gas turbines, which it says are temporary, but which have been exacerbating locals' health issues and particulate numbers—in addition to those issues, energy prices across the US are up 6.9% year over year as of December 2025, which is much higher than overall inflation. Those costs are expected to increase still further as data centers claim more of the finite energy available on these grids, which in turn means less available for everyone else, and that scarcity, because of supply and demand, increases the cost of that remaining energy.As a consequence of these issues, and what's broadly being seen as casual overstepping of laws and regulations by these companies, which often funnel a lot of money to local politicians to help smooth the path for their construction ambitions, there are bipartisan efforts around the world to halt construction on these things, locals saying the claimed benefits, like jobs, don't actually make sense—as construction jobs will be temporary, and the data centers themselves don't require many human maintainers or operators, and because they consume all that energy, in some cases might consume a bunch of water—possibly not as much as other grand-scale developments, like golf courses, but still—and they tend to generate a bunch of low-level, at times harmful background noise, can create a bunch of local pollution, and in general take up a bunch of space without giving any real benefit to the locals.Interestingly, this is one of the few truly bipartisan issues that seems to be persisting in the United States, at a moment in which it's often difficult to find things Republicans and Democrats can agree on, and that's seemingly because it's not just a ‘big companies led by untouchable rich people stomping around in often poorer communities and taking what they want' sort of issue, it's also an affordability issue, because the installation of these things seems to already be pushing prices higher—when the price of energy goes up, the price of just about everything goes up—and it seems likely to push prices even higher in the coming years.We'll see to what degree this influences politics and platforms moving forward, but some local politicians in particular are already making hay by using antagonism toward the construction of new data centers a part of their policy and campaign promises, and considering the speed at which these things are being constructed, and the slow build of resistance toward them, it's also an issue that could persist through the US congressional election in 2026, to the subsequent presidential election in 2028.Show Noteshttps://www.wired.com/story/opposed-to-data-centers-the-working-families-party-wants-you-to-run-for-office/https://finance.yahoo.com/news/without-data-centers-gdp-growth-171546326.htmlhttps://time.com/7308925/elon-musk-memphis-ai-data-center/https://wreg.com/news/new-details-on-152m-data-center-planned-in-memphis/https://www.politico.com/news/2025/05/06/elon-musk-xai-memphis-gas-turbines-air-pollution-permits-00317582https://www.datacenterwatch.org/reporthttps://www.govtech.com/products/kent-county-mich-cancels-data-center-meeting-due-to-crowdhttps://www.woodtv.com/news/kent-county/gaines-township-planning-commission-to-hold-hearing-on-data-center-rezoning/https://www.theverge.com/science/841169/ai-data-center-oppositionhttps://www.iea.org/reports/energy-and-ai/energy-demand-from-aihttps://www.cbre.com/insights/reports/global-data-center-trends-2025https://www.phoenixnewtimes.com/news/chandler-city-council-unanimously-kills-sinema-backed-data-center-40628102/https://www.mlive.com/news/ann-arbor/2025/11/rural-michigan-fights-back-how-riled-up-residents-are-challenging-big-tech-data-centers.html?outputType=amphttps://www.courthousenews.com/nonprofit-sues-to-block-165-billion-openai-data-center-in-rural-new-mexico/https://www.datacenterdynamics.com/en/news/microsoft-cancels-plans-for-data-center-caledonia-wisconsin/https://www.cnbc.com/2025/11/25/microsoft-ai-data-center-rejection-vs-support.htmlhttps://www.wpr.org/news/microsoft-caledonia-data-center-site-ozaukee-countyhttps://thehill.com/opinion/robbys-radar/5655111-bernie-sanders-data-center-moratorium/https://www.investopedia.com/magnificent-seven-stocks-8402262https://www.mckinsey.com/industries/technology-media-and-telecommunications/our-insights/the-cost-of-compute-a-7-trillion-dollar-race-to-scale-data-centershttps://www.mckinsey.com/industries/technology-media-and-telecommunications/our-insights/ai-power-expanding-data-center-capacity-to-meet-growing-demandhttps://www.marketplace.org/story/2025/12/19/are-energyhungry-data-centers-causing-electric-bills-to-go-uphttps://en.wikipedia.org/wiki/Data_centerhttps://en.wikipedia.org/wiki/ENIAC 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

Timestamps: 0:00 they made James read this 0:10 Pirate group scrapes nearly ALL Spotify tracks 1:16 Steam Deck LCD discontinued, 64-bit app 2:16 China uses loophole, rents Blackwell GPUs 3:27 MSI! 4:33 QUICK BITS INTRO 4:42 Mozilla adding Firefox AI 'kill switch' 5:14 YouTube causing high CPU usage 6:09 Moore Threads new Huashan AI GPU 6:52 Power outage knocks out Waymo robotaxis 7:28 Google breaks the Dreamcast web browser NEWS SOURCES: https://lmg.gg/vm1hV Learn more about your ad choices. Visit megaphone.fm/adchoices

In this chapter, Ned nearly dies when he previews Dr. Blackwell's "Quiet Room" right before his sister Ellen brings a team the Liminal Lodge to save him. Will they be able to rescue him? Will they take him to Tacoma General Hospital and have him committed to the psychiatric ward?  Or will Dr. Blackwell keep him in the Liminal Lodge, and finally remove him from his "shell"? For Merch and everything else Bad Magic related, head to: https://www.badmagicproductions.com Subscribe to SiriusXM Podcasts+ to listen to new episodes of Scared to Death ad-free and a whole week early. Start a free trial now on Apple Podcasts or by visiting siriusxm.com/podcastsplus. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In this week's podcast episode of Perspective Shift, we have a powerful frequency alchemy session with Christopher Blackwell. We will be conducting these on the second Wednesday of each month, so please feel free to email us at perspectiveshift2020@gmall.com if you would like to join us for a session! ✨ Complimentary Energy Scanning Session with Chris BlackwellDiscover what's truly aligned with your energy in a no-pressure, complimentary session with Chris Blackwell, Frequency Code Alchemist and Sound Healer.In this session, Chris will:Scan your energetic field to see where blockages or imbalances existTune into your frequency to identify services that resonate with you, including Frequency Elixirs, Identity Upgrades, Activation Meditations, and moreGain clarity and see which of Chris's offerings best support your growth — all completely complimentary.

This week we talk about NVIDIA, AI companies, and the US economy.We also discuss the US-China chip-gap, mixed-use technologies, and export bans.Recommended Book: Enshittification by Cory DoctorowTranscriptI've spoken about this a few times in recent months, but it's worth rehashing real quick because this collection of stories and entities are so central to what's happening across a lot of the global economy, and is also fundamental, in a very load-bearing way, to the US economy right now.As of November of 2025, around the same time that Nvidia, the maker of the world's best AI-optimized chips at the moment became the world's first company to achieve a $5 trillion market cap, the top seven highest-valued tech companies, including Nvidia, accounted for about 32% of the total value of the US stock market.That's an absolutely astonishing figure, as while Nvidia, Apple, Microsoft, Alphabet, Amazon, Broadcom, and Meta all have a fairly diverse footprint even beyond their AI efforts, a lot of that value for all of them is predicated on expected future income; which is to say, their market caps, their value according to that measure, is determined not by their current assets and revenue, but by what investors think or hope they'll pull in and be worth in the future.That's important to note because historically the sorts of companies that have market caps that are many multiples of their current, more concrete values are startups; companies in their hatchling phase that have a good idea and some kind of big potential, a big moat around what they're offering or a blue ocean sub-industry with little competition in which they can flourish, and investment is thus expected to help them grow fast.These top seven tech companies, in contrast, are all very mature, have been around for a while and have a lot of infrastructure, employees, expenses, and all the other things we typically associated with mature businesses, not flashy startups with their best days hopefully ahead of them.Some analysts have posited that part of why these companies are pushing the AI thing so hard, and in particular pushing the idea that they're headed toward some kind of generally useful AI, or AGI, or superhuman AI that can do everyone's jobs better and cheaper than humans can do them, is that in doing so, they're imagining a world in which they, and they alone, because of the costs associated with building the data centers required to train and run the best-quality AI right now, are capable of producing basically an economy's-worth of AI systems and bots and machines operated by those AI systems.In other words, they're creating, from whole cloth, an imagined scenario in which they're not just worthy of startup-like valuations, worthy of market caps that are tens or hundreds of times their actual concrete value, because of those possible futures they're imagining in public, but they're the only companies worthy of those valuation multiples; the only companies that matter anymore.It's likely that even if this is the case, that the folks in charge of these companies, and the investors who have money in them who are likely to profit when the companies grow and grow, actually do believe what they're telling everyone about the possibilities inherent in building these sorts of systems.But there also seems to be a purely economic motive for exaggerating a lot and clearing out as much of the competition as possible as they grow bigger and bigger. Because maybe they'll actually make what they're saying they can make as a result of all that investment, that exuberance, but maybe, failing that, they'll just be the last companies standing after the bubble bursts and an economic wildfire clears out all the smaller companies that couldn't get the political relationships and sustaining cash they needed to survive the clear-out, if and when reality strikes and everyone realizes that sci-fi outcome isn't gonna happen, or isn't gonna happen any time soon.What I'd like to talk about today is a recent decision by the US government to allow Nvidia to sell some of its high-powered chips to China, and why that decision is being near-universally derided by those in the know.—In early December 2025, after a lot of back-and-forthing on the matter, President Trump announced that the US government will allow Nvidia, which is a US-based company, to export its H200 processors to China. He also said that the US government will collect a 25% fee on these sales.The H200 is Nvidia's second-best chip for AI purposes, and it's about six-times as powerful as the H20, which is currently the most advanced Nvidia chip that's been cleared for sale to China. The Blackwell chip that is currently Nvidia's most powerful AI offering is about 1.5-times faster than the H200 for training purposes, and five-times faster for AI inferencing, which is what they're used for after a model is trained, and then it's used for predictions, decisions, and so on.The logic of keeping the highest-end chips from would-be competitors, especially military competitors like China, isn't new—this is something the US and other governments have pretty much always done, and historically even higher-end gaming systems like Playstation consoles have been banned for export in some cases because the chips they contained could be repurposed for military things, like plucking them out and using them to guide missiles—Sony was initially unable to sell the Playstation 2 outside of Japan because it needed special permits to sell something so militarily capable outside the country, and it remained unsellable in countries like Iraq, Iran, and North Korea throughout its production period.The concern with these Nvidia chips is that if China has access to the most powerful AI processors, it might be able to close the estimated 2-year gap between US companies and Chinese companies when it comes to the sophistication of their AI models and the power of their relevant chips. Beyond being potentially useful for productivity and other economic purposes, this hardware and software is broadly expected to shape the next generation of military hardware, and is already in use for all sorts of wartime and defense purposes, including sophisticated drones used by both sides in Ukraine. If the US loses this advantage, the thinking goes, China might step up its aggression in the South China Sea, potentially even moving up plans to invade Taiwan.Thus, one approach, which has been in place since the Biden administration, has been to do everything possible to keep the best chips out of Chinese hands, because that would ostensibly slow them down, make them less capable of just splurging on the best hardware, which they could then use to further develop their local AI capabilities.This approach, however, also incentivized the Chinese government to double-down on their own homegrown chip industry. Which again is still generally thought to be about 2-years behind the US industry, but it does seem to be closing the gap rapidly, mostly by copying designs and approaches used by companies around the world.An alternative theory, the one that seems to be at least partly responsible for Trump's about-face on this, is that if the US allows the sale of sufficiently powerful chips to China, the Chinese tech industry will become reliant on goods provided by US companies, and thus its own homegrown AI sector will shrivel and never fully close that gap. If necessary the US can then truncate or shut down those shipments, crippling the Chinese tech industry at a vital moment, and that would give the US the upper-hand in many future negotiations and scenarios.Most analysts in this space no longer think this is a smart approach, because the Chinese government is wise to this tactic, using it itself all the time. And even in spaces where they have plenty of incoming resources from elsewhere, they still try to shore-up their own homegrown versions of the same, copying those international inputs rather than relying on them, so that someday they won't need them anymore.The same is generally thought to be true, here. Ever since the first Trump administration, when the US government started its trade war with China, the Chinese government has not been keen on ever relying on external governments and economies again, and it looks a lot more likely, based on what the Chinese government has said, and based on investments across the Chinese market on Chinese AI and chip companies following this announcement, that they'll basically just scoop up as many Nvidia chips as they can, while they can, and primarily for the purpose of reverse-engineering those chips, speeding up their gap-closing with US companies, and then, as soon as possible, severing that tie, competing with Nvidia rather than relying on it.This is an especially pressing matter right now, then, because the US economy, and basically all of its growth, is so completely reliant on AI tech and the chips that are allowing that tech to move forward.If this plan by the US government doesn't pan out and ends up being a short-term gain situation, a little bit of money earned from that 25% cut the government takes, and Ndvidia temporarily enriching itself further through Chinese sales, but in exchange both entities give up their advantage, long term, to Chinese AI companies and the Chinese government, that could be bad not just for AI companies around the world, which could be rapidly outcompeted by Chinese alternatives, but also all economies exposed to the US economy, which could be in for a long term correction, slump, or full-on depression.Show Noteshttps://www.nytimes.com/2025/12/09/us/politics/trump-nvidia-ai-chips-china.htmlhttps://arstechnica.com/tech-policy/2025/12/us-taking-25-cut-of-nvidia-chip-sales-makes-no-sense-experts-say/https://www.pcmag.com/news/20-years-later-how-concerns-about-weaponized-consoles-almost-sunk-the-ps2https://archive.is/20251211090854/https://www.reuters.com/world/china/us-open-up-exports-nvidia-h200-chips-china-semafor-reports-2025-12-08/https://theconversation.com/with-nvidias-second-best-ai-chips-headed-for-china-the-us-shifts-priorities-from-security-to-trade-271831https://www.economist.com/business/2025/12/09/donald-trumps-flawed-plan-to-get-china-hooked-on-nvidia-chipshttps://www.scmp.com/tech/tech-trends/article/3335900/chinas-moore-threads-unveil-ai-chip-road-map-rival-nvidias-cuda-systemhttps://www.investopedia.com/nvidia-just-became-the-first-usd5-trillion-company-monitor-these-crucial-stock-price-levels-11839114https://aventis-advisors.com/ai-valuation-multiples/ 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

Send us a textIn Episode 231 of Book Talk Etc., Tina & Hannah discuss the books that they personally deemed under, over and appropriately hyped for 2025 book releases!If you enjoy our commercial-free podcast, please consider supporting us on Patreon! Your membership will give you access to our exclusive bonus episodes, including Niche Novels, Books We DNFed, and What's in the Mailbag! Plus, you'll receive invites to monthly events like Mood Reader Happy Hour, Live Creativity Sprints and Bookstore Browse, and a private Facebook group and Discord server where you can interact with other fans of the show... all for just $5 a month!Loving LatelyBeanTok (T)YA Has Entered Its Awkward Adolescence - Article (H)Latest ReadA Guardian and a Thief | Megha Majumdar (T)Passion Project | London Sperry (H)Over, Under, and Appropriately Hyped BooksLinks to all books mentioned can be found HEREHyped PredictionsKin | Tayari Jones (T)Half His Age | Jennette McCurdy (H)If you prefer other shopping options, you can find today's books on Bookshop.org or Blackwell's. Purchasing through these links supports us with a small commission, at no extra cost to you.Support the showLet's Connect... Email us at booktalketc@gmailBTE on YoutubeTina's TikTok , IG @tbretc YT @tbretcHannah's TikTok , IG @hanpickedbooksJonathan IG @infiltrate_jayPodcast IG @booktalketcRenee's Substack Newsletter , IG@Itsbooktalk

In this episode, Kelly sits down with Chelsea Blackwell from Love Is Blind to explore her transformative journey on and off the show. From navigating undeniable connections and imperfect timing to discovering herself in the spotlight and embracing her personal glow-up, Chelsea's candidness, charm, and heartfelt insights, along with her honest revelations about Love Is Blind, make this episode an unmissable journey for anyone curious about love, personal growth, and embracing their own glow-up. [1:12] Love is Blind Takeaway "It's been such an awesome experience. You know, I didn't get a husband, but I got a lot of good connections from it" [10:46] Undeniable Connection "So not only were we really connected with our hearts and our souls, and our minds, but it obviously was not a secret." [15:57] Imperfect Timing "He says that if we met out at a bar, we could have made it work, but it was just the way we met and how loud and intense and crazy it was." [25:05] The Big Blowout "We're having a good time meeting my parents, and all of a sudden my producer goes, 'So now is a really good time to tell Jimmy everything he did that pissed you off this week.'" [33:14] Self-Discovery in the Spotlight "I think the biggest blessing that came from Love Is Blind is that I looked at myself in a whole different light." [41:02] Ozempic Journey "I've struggled with weight my entire life and I finally feel incredible and it's just a part of my story." [48:23] Connection Without Commitment "I love having conversations and hearing people's stories. I think right now, mentally, I'm not looking for anything serious." [53:00] Rooted in Purpose "I'm connecting with my divine energy and it's just such a good feeling. So once we're there, I'm able to really help my community and my followers get to where I am as well." [1:03:12] Invisible Effort "People don't understand how hard it is to create content." [1:08:13] Bittersweet  "It sucked, you know, it was awful, but I had such a good experience. I had a great relationship with Jimmy. I didn't care how it was portrayed." Follow Chelsea Blackwell on Instagram @chelseadblackwell - https://www.instagram.com/chelseadblackwell?igsh=MThnZTR4aW5ydm9paQ== Follow Chelsea Blackwell on Tiktok @chelseadblackwell - https://www.tiktok.com/@chelseadblackwell?_r=1&_t=ZS-92B5uJbNiqK Connect with Kelly here: Follow Me on Instagram at @chaselifewithkelly - https://www.instagram.com/chaselifewithkelly/ Follow Me on TikTok at @iamkellychase - https://www.tiktok.com/@iamkellychase _t=8WCIP546ma6&_r=1 Subscribe to My YouTube Channel - https://www.youtube.com/channel/UCNqhN0CXWVATKfUjwrm65-g Work with Me: Private 1:1 Business & Mindset Coaching- More Details- https://www.chaselifewithkelly.com/private-coaching  Rejection to Redemption - More Details: https://www.chaselifewithkelly.com/rejection-to-redemption  Online Business Accelerator- More Details: https://www.chaselifewithkelly.com/online-business-accelerator  Money Magnet - More Details: https://www.chaselifewithkelly.com/money-magnet  Goddess Magic Course Bundle - More Details - https://www.chaselifewithkelly.com/goddess-magic Kelly's Favorites  https://linktr.ee/chaselifewithkelly Visit Our Website!  https://www.chaselifewithkelly.com   

Watch The X22 Report On Video No videos found (function(w,d,s,i){w.ldAdInit=w.ldAdInit||[];w.ldAdInit.push({slot:17532056201798502,size:[0, 0],id:"ld-9437-3289"});if(!d.getElementById(i)){var j=d.createElement(s),p=d.getElementsByTagName(s)[0];j.async=true;j.src="https://cdn2.decide.dev/_js/ajs.js";j.id=i;p.parentNode.insertBefore(j,p);}})(window,document,"script","ld-ajs");pt> Click On Picture To See Larger PictureThe [CB][DS] are trying to convince the world high electricity costs are coming from AI and Crypto mining, it is not, its coming from the green new scam. Gas prices are coming way down. The new system Trump is building is getting stronger and stronger. The [CB] will fight back against Trump’s tariff system. The [DS] is pushing back, they want war and they do not want the peace deal. Corruption is being exposed in Ukraine which is putting a lot of pressure on Zelensky, the EU is now funding Ukraine. Soon he will be pushed out or he will sign the peace deal. Trump says its time for election in Ukraine. The [DS] criminal syndicate that they setup in DC under threat by the SC. They will rule that Trump as the right to remove the agencies and people, they are not independent of the Executive Branch, game over. Economy https://twitter.com/MarioNawfal/status/1997946755116359938?s=20 thanks to bad energy policy, not data centers. He slammed subsidies for unreliable sources like offshore wind, saying some projects cost $11B for 1GW of intermittent power, versus $1–2B for 24/7 reliable supply. Burgum laid into what he called “climate extremists,” accusing them of prioritizing flashy green experiments over building energy systems that actually work. The result is sky-high bills for electricity that cuts out when the weather does, while lawmakers pat themselves on the back for feel-good “net zero” policies that don't add up. Burgum: “A lot of the higher prices that you’re seeing are not related to the AI data centers. The policy choices of the last 5 years, driven by sometimes climate extremists, were the ones that are driving up the prices you’re seeing.” (function(w,d,s,i){w.ldAdInit=w.ldAdInit||[];w.ldAdInit.push({slot:18510697282300316,size:[0, 0],id:"ld-8599-9832"});if(!d.getElementById(i)){var j=d.createElement(s),p=d.getElementsByTagName(s)[0];j.async=true;j.src="https://cdn2.decide.dev/_js/ajs.js";j.id=i;p.parentNode.insertBefore(j,p);}})(window,document,"script","ld-ajs");   That is why I have authorized documentation to impose a 5% Tariff on Mexico if this water isn't released, IMMEDIATELY. The longer Mexico takes to release the water, the more our Farmers are hurt. Mexico has an obligation to FIX THIS NOW. Thank you for your attention to this matter! Gas Prices Drop To Lowest Level In Nearly 5 Years Across US Gasoline prices have dropped to their lowest levels in nearly five years and stand at around $2.90 per gallon on average as of Monday, according to data from GasBuddy, a company that tracks gas prices. “The national average has just slipped below $2.90 per gallon for the first time since May 2, 2021,” GasBuddy analyst Patrick De Haan wrote in a Sunday post on X.   Source: zerohedge.com https://twitter.com/RapidResponse47/status/1998037849539846303?s=20 ADP Weekly Employment Report Signals Rebound In Labor Market  the US labor market turned up for the four weeks ending Nov. 22, 2025, private employers added an average of 4,750 jobs a week., according to ADP’s new weekly employment data This week's positive number hints at an upswing in the labor market after four straight weeks of negative pulse estimates, after four straight weeks of losing jobs. This follows the almost unprecedented decline in initial jobless claims last week (which some have argued was impacted by Thanksgiving Week irregularities). Source: zerohedge.com https://twitter.com/profstonge/status/1998369537851346975?s=20   “degraded” products that nobody wanted, a terrible idea that slowed Innovation, and hurt the American Worker. That Era is OVER! We will protect National Security, create American Jobs, and keep America's lead in AI. NVIDIA's U.S. Customers are already moving forward with their incredible, highly advanced Blackwell chips, and soon, Rubin, neither of which are part of this deal. My Administration will always put America FIRST. The Department of Commerce is finalizing the details, and the same approach will apply to AMD, Intel, and other GREAT American Companies. MAKE AMERICA GREAT AGAIN!  Political/Rights https://twitter.com/DHSgov/status/1998069235734520159?s=20  putting American lives at risk. There are another 4,015 aliens in the custody of an Illinois jurisdiction that ICE is seeking to arrest. Criminal illegal aliens should not be released back onto our streets to terrorize more innocent Americans. https://twitter.com/EricLDaugh/status/1998407499884511706?s=20 https://twitter.com/FBIDirectorKash/status/1998416601050161442?s=20 https://twitter.com/FBIDDBongino/status/1998135848546746381?s=20  daily to dismantle the network and all those criminal actors associated with it. https://twitter.com/EricLDaugh/status/1998400657217257829?s=20 DOGE https://twitter.com/EricLDaugh/status/1998127452195852468?s=20   don’t see how they can do that!” “I’ll speak about it later. I’ll get a FULL report on it.” “Europe has to be VERY careful…Europe is going in some BAD directions.” @ElonMusk will win this! Geopolitical https://twitter.com/PM_ViktorOrban/status/1998044051203928212?s=20  Hungary will not implement the measures of the Migration Pact. The rebellion begins! War/Peace https://twitter.com/Rasmussen_Poll/status/1998163342465306883?s=20 https://twitter.com/MarioNawfal/status/1998082649425125715?s=20  amid uncertainty about future U.S. involvement. Zelensky met with Macron, Merz, and Starmer to align Europe's position on Ukraine peace talks. The message? If the U.S. steps back, Europe is ready to step up. Macron spoke of “convergence” between Europe, Ukraine, and the U.S., code for: we're not waiting for Trump. Starmer promised “a just and lasting settlement.” Merz framed Ukraine's future as “the destiny of Europe.” This isn't just about Ukraine anymore, it's about Europe's ability to act without Washington.aa the subtext is clear: Europe knows Trump may walk away, and they're preparing for it. Ukraine is only part of the equation, the real test is whether Europe can act without Washington. For the first time since 2022, the center of gravity on Ukraine is shifting eastward, to Paris, Berlin, and London. If Trump wins, the burden of leadership falls on Europe. Today may have been the first test of whether it’s ready https://twitter.com/BRICSinfo/status/1998299398456131611?s=20 What’s The Likelihood Of A NATO-Russian Non-Aggression Pact? Putin recently proposed providing Europe, the majority of whose countries are part of NATO, with formal guarantees that it won't attack. In connection with this, he also assessed that those who fearmonger about Russia are serving the interests of the military-industrial complex and/or trying to bolster their domestic image, which exposed their ulterior motives. In any case, his proposal could hypothetically lead to a NATO-Russian Non-Aggression Pact (NRNAP), but only if the political will exists on both sides Source: zerohedge.com  https://twitter.com/TheOtherSideRu/status/1998356606119981155?s=20   it's not a democracy anymore” https://twitter.com/visegrad24/status/1998356214384611652?s=20   hold an election, but I would think the Ukrainian people should have that choice. And maybe Zelensky would win. But they haven't had an election in a long time. They talk about a democracy, but it gets to a point where it's not a democracy anymore,” Donald Trump said. As of December 2025, Ukrainian President Volodymyr Zelenskyy’s approval (or trust) rating in Ukraine has reportedly plummeted due to a major corruption scandal involving leaked “Mindich tapes” tied to his inner circle and energy sector graft. Multiple sources, including Ukrainian media and lawmakers, indicate the rating has dropped by about 40 percentage points in a single week, now sitting at or below 20-25%. Medical/False Flags [DS] Agenda https://twitter.com/libsoftiktok/status/1998187351026348280?s=20 WATCH: Crockett Launches Senate Campaign By Posting Bizarre Compilation of Trump Repeatedly Calling Her ‘Low IQ' FBI Agents Sue Kash Patel After Being Fired Over BLM Support — Claim Kneeling ‘Saved American Lives'   The FBI agents who kneeled during the George Floyd BLM riots were fired on Friday by the FBI. A group of former FBI agents has filed a lawsuit against Director Kash Patel and the federal government after being fired for supporting the Black Lives Matter movement. The dozen agents complained that almost immediately upon becoming director of the bureau, Patel began working to terminate all agents who had kneeled in support of the movement. The lawsuit also claims the agents would not have been fired had they had the same perceived political affiliations as those involved in the January 6th protests. Source: thegatewaypundit.com The FBI, as a U.S. federal law enforcement agency under the Department of Justice (DOJ), is required to maintain political neutrality and impartiality in its operations and public actions. It does not take official political stands or engage in activism, as its mission focuses on enforcing federal laws without partisan bias. Individual FBI employees (including agents) are subject to strict restrictions under the Hatch Act, which prohibits most forms of partisan political activity to ensure a neutral federal workforce. FBI personnel are classified as “further restricted” employees, meaning they face additional limitations compared to most other federal workers. Key Prohibitions for FBI EmployeesThese apply at all times (on or off duty) unless otherwise noted, with the goal of preventing any appearance of political influence or coercion: Taking a partisan political stand: They may not endorse or oppose candidates for partisan office or political parties in advertisements, broadcasts, campaign literature, speeches at partisan events, or similar materials if done in coordination with a candidate, party, or partisan group.     Pushing partisan activism: Active participation in partisan political management or campaigns is banned, including organizing rallies/caucuses, promoting/selling tickets to fundraising events, addressing partisan gatherings in support of/opposition to candidates, or driving voters to polls in coordination with partisan entities. They cannot use their official authority to interfere with elections or solicit/discourage political activity from individuals with business before the DOJ/FBI. Permitted Activities for FBI EmployeesWhile heavily restricted, some non-active or non-partisan actions are allowed, primarily off-duty: . https://twitter.com/amuse/status/1998131089542713808?s=20   million in fees from Fani Willis's office after she was disqualified for an improper relationship with a special prosecutor. The Georgia Supreme Court removed her permanently in September, opening the door for all 19 defendants to file similar reimbursement claims. The total cost could dwarf Trump's alone and stands as a humiliating rebuke of Willis's partisan prosecution. The blowback is now financial as well as legal. https://twitter.com/MarioNawfal/status/1998354564790284308?s=20 notice. 18 of them are still actively covered. September 2025. Monthly payout: over $10,000. GAO’s just…monitoring them. Because apparently nobody at HHS has. No SSN? Fine. No proof of citizenship? Whatever. No income documentation? Come on in. GAO literally wrote in their report: “[We] did not provide documentation yet received coverage.” They’re not even hiding it – they got benefits with nothing. The system just said yes. Now check the real-world damage. In 2023, 29,000 Social Security numbers somehow got used for multiple full-year coverage plans. By 2024? That jumped to 68,000. Someone’s running the same number through the machine twice, three times, however many times it takes, and the alarms aren’t going off. Then there’s the $94 million that went to dead people in 2023. Not “accounts tied to people who died recently and the paperwork hasn’t caught up” – straight up deceased recipients. Death certificates filed, funerals held, checks still clearing. But here’s the really wild part: GAO tried to track $21 billion in subsidies from 2023 back to actual Social Security numbers. Couldn’t do it. 21 billion dollars just floating out there with no clear connection to who’s supposed to be getting it. The system allows multiple enrollments per SSN “to help ensure actual SSN-holder can enroll in cases of identity theft or data entry errors.” In other words: we built in workarounds so generous that fraud looks identical to legitimate use. Now Congress is fighting over whether to extend these enhanced COVID subsidies past December 31. Cost to keep them? $30 billion annually. 24 million people enrolled, over 90% getting subsidies. Without extension, premiums spike overnight and 22 million people might lose coverage. Republicans looking at GAO’s findings saying: this is exactly why we shouldn’t pour another $30B into a system that can’t tell fake accounts from real ones. Democrats saying: you’re going to kick 22 million people off insurance because less than 1% is fraud? Both sides kinda have a point. Yeah, the fraud’s under 1% of total enrollees. But when you’re burning $30B yearly and literally cannot verify where $21B went, “less than 1%” stops sounding so minor. Senate vote coming this week. Expected to fail. Which means scramble for short-term extension, fight continues into 2026 budget battles, and absolutely nothing changes about fraud controls. Because here’s what nobody wants to say out loud: the system isn’t designed to catch fraud. It’s designed to maximize enrollment. When your mandate is “get people covered,” asking too many questions becomes the enemy. Verification slows things down. Documentation creates barriers. Better to let a few fake accounts slip through than risk denying real people who need coverage. So GAO’s 18 fictional enrollees will keep collecting their $10K monthly until someone at HHS manually shuts them down. Which requires someone at HHS to actually read GAO reports. Which requires someone at HHS to care more about fraud than enrollment numbers. Don’t hold your breath. By next year, GAO will run the same test. Find the same results. Write the same warnings. And Congress will have the same fight about whether feeding money into a system that can’t track where it goes is compassionate policy or expensive theater. Meanwhile, somewhere in America, a completely imaginary person just got their subsidized premium renewed for 2026. https://twitter.com/chad_mizelle/status/1998194850324222006?s=20  clown show. Ignore him. In the meantime, Congress needs to start acting like a co-equal branch and initiate its own inquiry into Boasberg. President Trump's Plan Alina Habba Resigns as U.S. Attorney for New Jersey After Courts Rule Against Her Appointment Alina Habba, President Donald Trump's pick to serve as U.S. attorney for New Jersey, has resigned from her role following a federal court's ruling to uphold a lower court's decision that she was not “lawfully” appointed to the office. The news was announced Monday by U.S. Attorney General Pam Bondi, who said she was “saddened to accept Alina's resignation”: https://twitter.com/AGPamBondi/status/1998102734680318084?ref_src=twsrc%5Etfw%7Ctwcamp%5Etweetembed%7Ctwterm%5E1998102734680318084%7Ctwgr%5E61a3e334e8e6099ea26f7cf5005134be5bf746cd%7Ctwcon%5Es1_c10&ref_url=https%3A%2F%2Fwww.breitbart.com%2Ft%2Fassets%2Fhtml%2Ftweet-5.html1998102734680318084 Habba intends to return to the U.S. attorney's office if that occurs, Bondi added, noting that she will be continuing with the DOJ as a senior advisor. Source: breitbart.com Do Not Mistake Compliance For Surrender” – Alina Habba Steps Down As Acting US Attorney For New Jersey    Habba's statement Monday said “do not mistake compliance for surrender”. https://twitter.com/AlinaHabba/status/1998101999024550125?ref_src=twsrc%5Etfw%7Ctwcamp%5Etweetembed%7Ctwterm%5E1998101999024550125%7Ctwgr%5Ec3b83e0f57525961eabb9975a6e4dab69d0d73c0%7Ctwcon%5Es1_c10&ref_url=https%3A%2F%2Fwww.zerohedge.com%2Fpolitical%2Fdo-not-mistake-compliance-surrender-alina-habba-steps-down-acting-us-attorney-new-jersey Source: zerohedge.com https://twitter.com/JoeLang51440671/status/1998202248636072142?s=20  Ketanji Brown Jackson claimed the president should have no power to fire expert bureaucrats. She said economists, PhDs, scientists, & transportation officials should operate beyond presidential reach. Such a view would carve the heart out of Article II & cement rule by permanent insiders rather than elected leadership. Jackson's theory elevates the deep state over the voters who choose a president. That is a constitutional revolution in plain sight. https://twitter.com/AwakenedOutlaw/status/1998116399190036973?s=20   Furthermore, the same logic would apply to the Federal Reserve, IMO. In fact, that’s almost certainly where this is going. Justice Kavanaugh: “I want to give you a chance to deal with the hard hypothetical. When both Houses of Congress and the President are controlled by the same party, they create a lot of these independent agencies or extend some of the current independent agencies into these kinds of situations so as to thwart future Presidents of the opposite party https://twitter.com/nayibbukele/status/1894547479367938142?s=20 https://twitter.com/Rothbard1776/status/1998162884455522528?s=20 https://twitter.com/MJTruthUltra/status/1998149963835191541?s=20 https://twitter.com/EricLDaugh/status/1998129151857848575?s=20   where you have Dem Senators, they won’t approve him! This gentlemen’s agreement [blue slip] has lasted TOO LONG. It means you can’t appoint a GOP US Attorney!” “In VA, NJ, CA, a US Attorney or judge…the only people you can get by are Democrats because they put a HOLD ON IT!” “It only takes one senator! If they are Democrat, they won’t approve it.” “All because GRASSLEY with his BLUE SLIP stuff won’t let anybody go by! And by the way, Democrats have violated blue slip!” Susie Wiles: Trump Will Campaign for 2026 Midterms ‘Like It's 2024 Again' White House Chief of Staff Susie Wiles revealed that President Donald Trump will get out and “campaign like it's 2024 again” for the 2026 midterm elections. Wiles went on to explain that “in the midterms, it's not about who's sitting at the White House,” but about localizing the election and keeping “the federal officials out of it.” “We're actually going to turn that on its head,” Wiles shared. “And, put him on the ballot because so many of those low propensity voters are Trump voters. And, we saw, a week ago Tuesday, what happens when he's not on the ballot and not active. So, I haven't quite broken it to him yet, but he's going to campaign like it's 2024 again.” Source: breitbart.com (function(w,d,s,i){w.ldAdInit=w.ldAdInit||[];w.ldAdInit.push({slot:13499335648425062,size:[0, 0],id:"ld-7164-1323"});if(!d.getElementById(i)){var j=d.createElement(s),p=d.getElementsByTagName(s)[0];j.async=true;j.src="//cdn2.customads.co/_js/ajs.js";j.id=i;p.parentNode.insertBefore(j,p);}})(window,document,"script","ld-ajs");

My guest this week is Gavin Baker. Gavin is the managing partner and CIO of Atreides Management, and he has been on the show many times before.  I will never forget when I first met Gavin in 2017. I find his interest in markets, his curiosity about the world to be as infectious as any investor that I've ever come across. He's encyclopedic on what is going on in the world of technology today, and I've had the good fortune to host him every year or two on this podcast. Gavin began covering Nvidia as an investor more than two decades ago, giving him a rare perspective on how the company – and the entire semiconductor ecosystem – has evolved. A lot has changed since our last conversation a year ago, making this the perfect time to revisit the topic. In this conversation, we talk about everything that interests Gavin – Nvidia's GPUs, Google's TPUs, the changing AI landscape, the math and business models around AI companies and everything in between. We also discussed the idea of data centers in space, which he communicates with his usual passion and logic. In closing, at the end of this conversation, because I've asked him my traditional closing question before, I asked him a different question, which led to a discussion of his entire investing origin story that I had never heard before. Because Gavin is one of the most passionate thinkers and investors that I know, these conversations are always amongst my most favorite. I hope you enjoy this latest in the series of discussions with Gavin Baker. For the full show notes, transcript, and links to mentioned content, check out the episode page ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠here⁠⁠⁠⁠⁠⁠⁠⁠.⁠⁠⁠⁠⁠⁠⁠⁠ ----- This episode is brought to you by⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Ramp⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Ramp's mission is to help companies manage their spend in a way that reduces expenses and frees up time for teams to work on more valuable projects. Go to⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ramp.com/invest to sign up for free and get a $250 welcome bonus. ----- This episode is brought to you by⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Ridgeline⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Ridgeline has built a complete, real-time, modern operating system for investment managers. It handles trading, portfolio management, compliance, customer reporting, and much more through an all-in-one real-time cloud platform. Head to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ridgelineapps.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to learn more about the platform. ----- This episode is brought to you by ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠AlphaSense⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. AlphaSense has completely transformed the research process with cutting-edge AI technology and a vast collection of top-tier, reliable business content. Invest Like the Best listeners can get a free trial now at⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Alpha-Sense.com/Invest⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and experience firsthand how AlphaSense and Tegus help you make smarter decisions faster. ----- Editing and post-production work for this episode was provided by The Podcast Consultant (⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://thepodcastconsultant.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠). Show Notes: (00:00:00) Welcome to Invest Like The Best (00:04:00) Meet Gavin Baker (00:06:00) Understanding Gemini 3  (00:09:05) Scaling Laws for Pre-Training (00:12:12) Google v. Nvidia (00:16:52) Google as  Lowest Cost Producer of Tokens (00:28:05)  AI Can Automate Anything that can be Verified (00:34:30) The AI Bear Case: Edge AI (00:37:18) Going from Intelligence to Usefulness (00:43:44) AI Adoption in Fortune 500 Companies (00:48:58) Frontier Models and Industry Dynamics (00:56:40) China's Mistake and Blackwell's Geopolitical Leverage (00:57:50) OpenAI's Code Red (01:00:46) Data Centers in Space (01:07:13) Cycles in AI (01:11:10) Power as a Bottleneck (01:14:17) AI Native Entrepreneurs (01:16:21) Semiconductor VC (01:20:41) The Mistake the SaaS Industry is Making (01:26:50) Series of Bubbles (01:28:56) Whatever AI Needs, It Gets (01:29:57) Investing is the Search for Truth (01:31:24) Gavin's Investing Origin Story

Send us a textIn Episode 230 of Book Talk Etc., Tina & Hannah discuss their thoughts on some new releases that they have read recently, and also dive into their bookish related ins and outs for 2026!If you enjoy our commercial-free podcast, please consider supporting us on Patreon! Your membership will give you access to our exclusive bonus episodes, including Niche Novels, Books We DNFed, and What's in the Mailbag! Plus, you'll receive invites to monthly events like Mood Reader Happy Hour, Live Creativity Sprints and Bookstore Browse, and a private Facebook group and Discord server where you can interact with other fans of the show... all for just $5 a month!Loving LatelyVivid Scribbles - Dot Grid Journal (T)Bag Large Zipper Corduroy Make Up Pouch (for journaling items) (H)Latest ReadCursed Daughters | Oyinkan Braithwaite (T+H)Book TalkSecret of Secrets | Dan Brown (T)The True True Story of Raja the Gullible (and His Mother) | Rabih Alameddine (H)Her One Regret | Donna Freitas (T)Conform | Ariel Sullivan (H)Shelf AdditionsJust Watch Me | Lior Torenberg (T)Molka | Monika Kim (H)If you prefer other shopping options, you can find today's books on Bookshop.org or Blackwell's. Purchasing through these links supports us with a small commission, at no extra cost to you.Support the showLet's Connect... Email us at booktalketc@gmailBTE on YoutubeTina's TikTok , IG @tbretc YT @tbretcHannah's TikTok , IG @hanpickedbooksJonathan IG @infiltrate_jayPodcast IG @booktalketcRenee's Substack Newsletter , IG@Itsbooktalk

Marley Kayden covers the latest on Nvidia's (NVDA) clearance to ship H200 chips to China. The permissions don't cover the advanced Blackwell chips and other products. She also comments that it is unclear how much this will boost Nvidia's revenue. Tim Biggam shows an example put spread trade on Nvidia.======== 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

In this “Timelines” episode, we connect three iconic sites built during the same era: Petra's stunning rock-cut city in Jordan, the mysterious Nazca Lines etched across Peru's desert, and the monumental Great Wall of China. Explore how the Nabataeans engineered Petra's hidden oasis, why the Nazca created massive geoglyphs only visible from above, and what drove dynasties to construct thousands of miles of wall across China. Discover the origins, uses, and enduring mysteries of these world wonders, and see how ancient ingenuity and ambition shaped civilizations across continents—all within a shared moment in history.LinksSegment 1: PetraBedal, L. W. (2003). The Petra Pool Complex: A Hellenistic Paradeisos in the Nabataean Capital. American Journal of Archaeology.Parr, P. J. (2013). “Petra.” In Encyclopedia of Ancient History. Wiley-Blackwell.Schmid, S. G. (2001). “The Nabataeans: Travellers Between Lifestyles.” In Aram Periodical.UNESCO World Heritage Centre – PetraAmerican Center of Research (ACOR) – Petra Archaeological ParkBienkowski, P. (1990). Petra. British Museum Press.Hammond, P. C. (1973). “The Nabataeans: Their History, Culture, and Archaeology.” Biblical Archaeologist.Smithsonian Magazine – Petra's Great TempleBurckhardt, J. L. (1822). Travels in Syria and the Holy Land (rediscovery account).Segment 2: Nazca LinesSilverman, H., & Proulx, D. A. (2002). The Nasca. Blackwell Publishers.Reindel, M., & Isla, J. (2001). “Nasca: Wunder der Wüste.” C.H. Beck.UNESCO World Heritage Centre – Lines and Geoglyphs of Nasca and PalpaAveni, A. F. (2000). Between the Lines: The Mystery of the Giant Ground Drawings of Ancient Nasca, Peru. University of Texas Press.National Geographic – Nazca Lines: Mystery on the DesertOrefici, G. (2012). “Cahuachi: Capital of the Nasca World.” Andean Past.Ancient History Encyclopedia – The Geoglyphs of Palpa, PeruSilverman, H. (1993). Cahuachi in the Ancient Nasca World. University of Iowa Press.Isla, J., & Reindel, M. (2016). “Nasca and the ‘Puquios': Water and Ritual in the Peruvian Desert.” Antiquity.Segment 3: Great Wall of ChinaWaldron, A. (1990). The Great Wall of China: From History to Myth. Cambridge University Press.Lovell, J. (2006). The Great Wall: China Against the World, 1000 BC–AD 2000. Grove Press.UNESCO World Heritage Centre – The Great WallMan, J. (2008). The Great Wall: The Extraordinary Story of China's Wonder of the World. Da Capo Press.Steinhardt, N. S. (1990). The Great Wall of China: Dynasties, Dragons, and Warriors. Oxford University Press.The China Guide – Famous Sections of the Great WallState Administration of Cultural Heritage, China. “Archaeological Discoveries Along the Great Wall.”Barfield, T. J. (1989). The Perilous Frontier: Nomadic Empires and China. Blackwell.Friends of the Great Wall – Research and PreservationContactChris Websterchris@archaeologypodcastnetwork.comRachel Rodenrachel@unraveleddesigns.comRachelUnraveled (Instagram)ArchPodNetAPN Website: https://www.archpodnet.comAPN Discord: https://discord.com/invite/CWBhb2T2edAPN on Facebook: https://www.facebook.com/archpodnetAPN on Twitter: https://www.twitter.com/archpodnetAPN on Instagram: https://www.instagram.com/archpodnetAPN ShopAffiliatesMotion Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Live from the Data Center Frontier Trends Summit 2025 – Reston, VA In this episode, we bring you a featured panel from the Data Center Frontier Trends Summit 2025 (Aug. 26-28), sponsored by Schneider Electric. DCF Editor in Chief Matt Vincent moderates a fast-paced, highly practical conversation on what “AI for good” really looks like inside the modern data center—both in how we build for AI workloads and how we use AI to run facilities more intelligently. Expert panelists included: Steve Carlini, VP, Innovation and Data Center Energy Management Business, Schneider Electric Sudhir Kalra, Chief Data Center Operations Officer, Compass Datacenters Andrew Whitmore, VP of Sales, Motivair Together they unpack: How AI is driving unprecedented scale—from megawatt data halls to gigawatt AI “factories” and 100–600 kW rack roadmaps What Schneider and NVIDIA are learning from real-world testing of Blackwell and NVL72-class reference designs Why liquid cooling is no longer optional for high-density AI, and how to retrofit thousands of brownfield, air-cooled sites How Compass is using AI, predictive analytics, and condition-based maintenance to cut manual interventions and OPEX The shift from “constructing” to assembling data centers via modular, prefab approaches The role of AI in grid-aware operations, energy storage, and more sustainable build and operations practices Where power architectures, 800V DC, and industry standards will take us over the next five years If you want a grounded, operator-level view into how AI is reshaping data center design, cooling, power, and operations—beyond the hype—this DCF Trends Summit session is a must-listen.

In this chapter, Ned pushes further into his troubling pursuit of previewing the afterlife and contacting Courtney, guided by the spirit of Dr. Blackwell herself, who Ned's sister Ellen does not believe has her brother's safety and wellbeing in mind. She and her mother look to have Ned involuntarily committed to a psychiatric facility before he completely sheds his "shell."  (Also - I explain why this switched from a two-parter to a four-parter in the intro.) For Merch and everything else Bad Magic related, head to: https://www.badmagicproductions.com Subscribe to SiriusXM Podcasts+ to listen to new episodes of Scared to Death ad-free and a whole week early. Start a free trial now on Apple Podcasts or by visiting siriusxm.com/podcastsplus. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

US equity futures point to a slightly firmer open, with Asian markets mixed and European equities trading marginally higher. US markets digested a fresh wave of AI disruption headlines as Intel moves to supply Apple with advanced chips and Amazon promotes its Trainium3 AI chip as cheaper and more efficient than Nvidia's alternatives; Nvidia flagged potential upside to five hundred billion dollars in Blackwell and Rubin bookings while Marvell guided for accelerated growth in custom AI chips and confirmed the acquisition of Celestial AI; On the other hand, consumer resilience theme seems to have found some additional support from strong Cyber Monday sales; Also, Cryptocurrencies staged a sharp rebound led by Bitcoin after a steep early-week selloff, improving near-term risk sentiment while the market continues to price a high probability of a December Federal Reserve rate cut.Companies Mentioned: ServiceNow, Medline, Warner Bros. Discovery

In our concluding episode of the Whole Church Science Fair series, we reflect upon the profound insights garnered from our extensive discussions over the past several weeks. The salient point of our discourse centers on the harmonious coexistence of faith and science, a relationship that transcends mere compatibility and delves into the intricacies of understanding our world through both lenses. We deliberate on the integration of scientific inquiry with spiritual beliefs, examining how these dialogues can foster unity within the church community. Throughout this journey, we have engaged with diverse perspectives, each contributing to a richer narrative about our faith in the context of contemporary scientific discourse. As we encapsulate our experiences, we invite our listeners to consider how these conversations may influence their own beliefs and practices within their faith communities.The final installment of the Whole Church Science Fair series features a profound discussion between Joshua Noel and TJ Blackwell, encapsulating the key insights derived from their extensive exploration of faith and science. The episode commences with a rigorous examination of resurrection as articulated in First Corinthians, which serves as a theological cornerstone for the conversation. The hosts reflect on how such a concept, often dismissed as scientifically implausible, can act as a catalyst for unity within the church, emphasizing that genuine community is forged through shared beliefs and collective engagement in faith.Throughout the episode, the tone oscillates between serious theological reflection and personal anecdotes, as both speakers recount their scientific curiosities and the lessons learned from various experts featured in the series. Blackwell's candid observations on the efficacy of probiotics, alongside Noel's insights into the rapidly changing coral ecosystems, highlight the overarching theme: the interplay between scientific knowledge and spiritual growth. The dialogue invites listeners to consider how scientific inquiry can enhance their faith journey, prompting deeper contemplation on the stewardship of creation and the moral responsibilities that accompany it.As the episode progresses, Noel and Blackwell extend a clarion call for actionable steps towards cultivating unity within the church, advocating for authentic engagement with one another as a means of fostering understanding and cooperation. This episode not only serves as a reflection on the series' journey but also as an invitation to the audience to embrace the complexities of faith and science, encouraging ongoing dialogue and exploration in their personal spiritual paths.Takeaways: The concept of resurrection, as articulated in First Corinthians, serves as a foundation for unity among believers, emphasizing that life is found in Christ. Engaging with scientific principles can enhance our understanding of faith, suggesting that faith and science need not be in conflict. The exploration of different scientific topics throughout the series has revealed the interconnectedness of faith and understanding of the natural world. The discourse surrounding original sin presents significant theological implications, particularly when considering the compatibility of evolution with Christian doctrine. The metaphor of the church as an ecosystem illustrates the complexities of community and the necessity of diverse contributions for overall health and unity. Our discussions have illuminated the importance of personal relationships within the church to foster deeper understanding and reconciliation among differing beliefs. .Check out all of the other shows in the Anazao Podcast Network:https://anazao-ministries.captivate.fm.You...

Send us a textIn Episode 229 of Book Talk Etc., Tina & Hannah talk about the Goodreads Choice Awards! Tina talks a little bit about her experience reading through the mystery and thriller nominations, and we discuss the pros and cons of the awards and how they operate.If you enjoy our commercial-free podcast, please consider supporting us on Patreon! Your membership will give you access to our exclusive bonus episodes, including Niche Novels, Books We DNFed, and What's in the Mailbag! Plus, you'll receive invites to monthly events like Mood Reader Happy Hour, Live Creativity Sprints and Bookstore Browse, and a private Facebook group and Discord server where you can interact with other fans of the show... all for just $5 a month!Loving LatelyFly Paper Products (T)Barefoot Neighbor - Website (H)Barefoot Neighbor CookbookBarefoot Neighbor - TikTokLatest ReadDon't Let Him In | Lisa Jewell (T)In A Holidaze | Christina Lauren (H)Book TalkBook Riot ArticleDominion | Addie E. CitchensVera Wong's Guide to Snooping (on a Dead Man) | Jesse Q. Sutanto (T)Amity | Nathan Harris (H)We Are All Guilty Here | Karin Slaughter (T)The Lilac People | Milo Todd (H)Shelf AdditionsThe Valley of Vengeful Ghosts | Kim Fu (T)Like Family | Erin O. White (H)If you prefer other shopping options, you can find today's books on Bookshop.org or Blackwell's. Purchasing through these links supports us with a small commission, at no extra cost to you.Support the showLet's Connect... Email us at booktalketc@gmailBTE on YoutubeTina's TikTok , IG @tbretc YT @tbretcHannah's TikTok , IG @hanpickedbooksJonathan IG @infiltrate_jayPodcast IG @booktalketcRenee's Substack Newsletter , IG@Itsbooktalk

November 30th, 2025 Bruce Levine and Michael Dixon talk with Colin Blackwell after the Stars defeat the Ottawa Senators 6-1 at the American Airlines Center Sunday night Follow us on Facebook, Instagram and X Listen to past episodes on The Ticket’s Website And follow The Ticket Top 10 on Apple, Spotify or Amazon Music See omnystudio.com/listener for privacy information.

Film historian Sergio Angelini joins Caroline to discuss a rather cinematic whodunnit. No major plot spoilers until you hear Caroline say we are "entering the spoiler zone", at 20:40. After that, expect full spoilers. A full list of titles in the Penguin series can be found at penguinfirsteditions.com. The next book discussed in this series will be The Documents in the Case by Dorothy L. Sayers and Robert Eustace. You can find Sergio's podcast, Tipping My Fedora, about all things crime fiction and film noir, in all good podcast apps. Support the podcast by joining the Shedunnit Book Club and get extra Shedunnit episodes every month plus access to the monthly reading discussions and community: shedunnitbookclub.com/join. Books mentioned in this episode:— The Rasp by Philip MacDonald— Patrol by Philip MacDonald— The List of Adrian Messenger by Philip MacDonald— The Reader Is Warned by Carter Dickson— The Polferry Riddle by Philip MacDonald— The Bishop Murder Case by S.S. Van Dine— The Murder of Roger Ackroyd by Agatha Christie— Trent's Last Case by E.C. Bentley— The Red House Mystery by A.A. Milne— Ambrotox and Limping Dick by Oliver Fleming— The Maze by Philip MacDonald— Pale Fire by Vladimir Vladimirovich Nabokov— The Rynox Murder by Philip MacDonald— Murder Gone Mad by Philip MacDonald— The Mystery of the Dead Police by Philip MacDonald NB: Links to Blackwell's are affiliate links, meaning that the podcast receives a small commission when you purchase a book there (the price remains the same for you). Blackwell's is a UK bookselling chain that ships internationally at no extra charge. To be the first to know about future developments with the podcast, sign up for the newsletter at shedunnitshow.com/newsletter. Learn more about your ad choices. Visit megaphone.fm/adchoices

EVEN MORE about this episode!What happens when a Lancet-published physician steps beyond the limits of orthodox medicine and into the mystical? In this episode, Dr. Anona Blackwell joins me, Julie Ryan, to explore the surprising ways science and spirituality intertwine. From telepathy and clairvoyance to the unexpected spiritual awakening sparked by menopause, Anona shares stories that challenge conventional thinking and illuminate her path as a modern-day Welsh “hedge witch.”We dive into the ancient art of dowsing, where intuition becomes a practical tool—even helping locate a lost Jack Russell in South Wales. Anona also recounts touching and humorous moments from her childhood spirit encounters to her unforgettable meetings with King Charles, revealing the gentle overlap between the mystical and the mainstream.Our conversation culminates in a profound exploration of energy healing, past lives, and the spiritual blueprint that persists beyond death. With love, humor, and wisdom woven throughout, this episode bridges Sweet Home Alabama and Wales—inviting you to expand your understanding of holistic health, soul purpose, and the unseen forces guiding us all.Guest Biography:Dr. Anona Blackwell is a Lancet-published academic physician and leading authority in genitourinary medicine whose lifelong curiosity about the universe has led her to explore the intersection of science and spirituality. Raised on a small holding in rural Wales, she rose from humble beginnings to spearhead research that transformed women's health care in the UK, all while privately investigating anomalous phenomena, energy healing, and her own innate psychic abilities. Her memoir, From Medic to Mystic, chronicles her journey from orthodox-trained doctor to unapologetic mystic, sharing compelling evidence from her clinical and personal life—telepathy, clairvoyance, NDEs, life after death, the power of prayer—and encouraging others to speak openly about their extraordinary experiences.Episode Chapters:(00:00) - Spirituality and Science Blend(14:22) - Dowsing and Pendulums in Finding(17:37) - Childhood Spirit Friend and Royal Encounter(23:58) - Encounters With Prince Charles(28:45) - Healing Past Lives and Energy Blocks(38:23) - Healing and Spirituality in Medicine(47:14) - Connecting With Spirit and Angels➡️Subscribe to Ask Julie Ryan YouTube➡️Subscribe to Ask Julie Ryan Español YouTube➡️Subscribe to Ask Julie Ryan Português YouTube➡️Subscribe to Ask Julie Ryan Deutsch YouTube➡️Subscribe to Ask Julie Ryan Français YouTube✏️Ask Julie a Question!

On this episode of Currently Reading, Meredith and Mary are discussing: Bookish Moments: new bookcases and making space for new TBR Current Reads: all the great, interesting, and/or terrible stuff we've been reading lately Deep Dive: bookish therapy with Mary The Fountain: we visit our perfect fountain to make wishes about our reading lives Show notes are time-stamped below for your convenience. Read the transcript of the episode (this link only works on the main site). .  .  .  1:36 - Our Bookish Moments of the Week 1:43 - @maryreadsandmakes on Instagram 2:21 - Ikea Billy Bookcase 6:00 - Half Price Books 8:14 - Our Current Reads 8:20 - The Executioners Three by Susan Dennard (Mary) 11:22 - 25 Days by Per Jacobson (Meredith) 17:37 - The Academy by Elin Hilderbrand and Shelby Cunningham (Mary) 21:50 - Madame Pamplemousse and Her Incredible Edibles by Rupert Kingfisher (Meredith) 24:24 - Daunt Books 26:54 - Blackwell's 28:06 - Wild Reverence by Rebecca Ross (Mary) 28:52 - Divine Rivals by Rebecca Ross 32:38 - A River Enchanted by Rebecca Ross 33:07 - Throne of Glass by Sarah J. Maas 33:08 - A Court of Thorns and Roses by Sarah J. Maas 33:34 - The Heir Apparent by Rebecca Armitage (Meredith) 35:39 - The Popcast 37:24 - Force of Such Beauty by Barbara Bourland 37:43 - American Royals by Katharine McGee 39:08 - Reading Therapy  43:17 - Gemini Wrongs by Met Tietz on Substack 44:19 - The Fire Starter Sessions by Danielle LaPorte 44:22 - The Desire Map by Danielle LaPorte 44:39 - Be Ready when the Luck Happens by Ina Garten 49:51 - Tiny Beautiful Things by Cheryl Strayed 50:08 - Designing Your Life by Bill Burnett and Dave Evans 52:46 - Reincarnation Blues by Michael Poore 56:31 - The Serviceberry by Robin Wall Kimmerer 57:05 - The Small and the Mighty by Sharon McMahon 58:43 - Meet Us At The Fountain 58:46 - My wish is that you evaluate your reading life and if you're struggling, to reflect if you need extra support in your life. (Mary) 1:00:47 - I recommend watching the show All Her Fault on Peacock if you liked the book. (Meredith) 1:00:58 - All Her Fault by Andrea Mara   Support Us: Become a Bookish Friend | Grab Some Merch Shop Bookshop dot org | Shop Amazon Bookish Friends Receive: The Indie Press List with a curated list of five books hand sold by the indie of the month. November's's IPL is brought to us from Content Bookstore in Northfield, Minnesota. Love and Chili Peppers with Kaytee and Rebekah - romance lovers get their due with this special episode focused entirely on the best selling genre fiction in the business.  All Things Murderful with Meredith and Elizabeth - special content for the scary-lovers, brought to you with the behind-the-scenes insights of an independent bookseller From the Editor's Desk with Kaytee and Bunmi Ishola - a quarterly peek behind the curtain at the publishing industry The Bookish Friends Facebook Group - where you can build community with bookish friends from around the globe as well as our hosts Connect With Us: The Show: Instagram | Website | Email | Threads The Hosts and Regulars: Meredith | Kaytee | Mary | Roxanna Production and Editing: Megan Phouthavong Evans Affiliate Disclosure: All affiliate links go to Bookshop unless otherwise noted. Shopping here helps keep the lights on and benefits indie bookstores. Thanks for your support!

Send us a textIn Episode 228 of Book Talk Etc., Tina & Hannah talk about the books they are wanting to read before the end of the year, and sharing some goals they have as 2026 looms around the corner!If you enjoy our commercial-free podcast, please consider supporting us on Patreon! Your membership will give you access to our exclusive bonus episodes, including Niche Novels, Books We DNFed, and What's in the Mailbag! Plus, you'll receive invites to monthly events like Mood Reader Happy Hour, Live Creativity Sprints and Bookstore Browse, and a private Facebook group and Discord server where you can interact with other fans of the show... all for just $5 a month!Loving LatelyMystical Outpost Etsy Shop (T)Waterproof Shower Bluetooth Speaker (H)Latest ReadThe Perfect Divorce | Jeneva Rose (T)Climate | Whitney Hanson (H)Book TalkHannah's End of Year TBRYou'll Never Know | Caleb Stephens (T)Persuasion | Jane Austen (H)Lonesome Dove | Larry McMurty (T)Hamnet | Maggie O'Farrell (H)Fantastic FictionShelf AdditionsLand | Maggie O'Farrell (T)Whidby | T. Kira Madden (H)If you prefer other shopping options, you can find today's books on Bookshop.org  or Blackwell's. Purchasing through these links supports us with a small commission, at no extra cost to you.Support the showLet's Connect... Email us at booktalketc@gmailBTE on YoutubeTina's TikTok , IG @tbretc YT @tbretcHannah's TikTok , IG @hanpickedbooksJonathan IG @infiltrate_jayPodcast IG @booktalketcRenee's Substack Newsletter , IG@Itsbooktalk

Hallie stuck around to help ease your Hallie-ween hangover, as Elliott guides the peaches through a survey of Halloween costumes in cinema. Who wore it best, and whose costumes were just lame? We put on our cattiest Mr. Blackwell costumes and decide! And remember -- MOVEMBER starts next week. Other than this brief Shocktober close-up mini, all four of November's remaining shows will be FULL EPISODES!See The Flop House LIVE IN CHICAGO this November! OR if you prefer to watch us from the comfort of your own home: Tickets for Flop TV Season 3 are ON SALE!Subscribe to our NEWSLETTER, “Flop Secrets! It's got fun stuff in it!