Podcasts about Algorithmic

We begin this episode by highlighting a fight between Mark Zuckerberg and Joseph Gordon Levitt over the issue of “synthetic relationships” and their implications for young children. We discuss the recent invention of plastoline, an alternative fuel source that can power automobiles. We conclude by considering one of Bill Maher's recent New Rules involving intentionally disrupting our social media algorithms in order to make space for understanding of and dialog with our opponents.  

In this week's episode of “Paul, Weiss Waking Up With AI,” Katherine Forrest, Scott Caravello and Matthew Robinson unpack an enacted bill out of California that amends the state's existing antitrust laws to address algorithmic price fixing in the age of AI. ## Learn More About Paul, Weiss's Artificial Intelligence practice: https://www.paulweiss.com/industries/artificial-intelligence

In the age of AI, where personal data fuels corporate profits and state surveillance, what are the implications for democracy? This incisive book You Must Become an Algorithmic Problem: Renegotiating the Socio-Technical Contract (Policy Press, 2025) explores the unspoken agreement we have with tech companies. In exchange for reducing the anxiety of an increasingly complex online world, we submit to algorithmic classification and predictability. This reduces incentives for us to become “algorithmic problems” with dire consequences for liberal democracy. He calls for a movement to demand that algorithms promote play, creativity and potentiality rather than conformity. This is a must-read for anyone navigating the intersection of technology, politics and identity in an increasingly data-driven world. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/new-books-network

In the age of AI, where personal data fuels corporate profits and state surveillance, what are the implications for democracy? This incisive book You Must Become an Algorithmic Problem: Renegotiating the Socio-Technical Contract (Policy Press, 2025) explores the unspoken agreement we have with tech companies. In exchange for reducing the anxiety of an increasingly complex online world, we submit to algorithmic classification and predictability. This reduces incentives for us to become “algorithmic problems” with dire consequences for liberal democracy. He calls for a movement to demand that algorithms promote play, creativity and potentiality rather than conformity. This is a must-read for anyone navigating the intersection of technology, politics and identity in an increasingly data-driven world. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/political-science

In the age of AI, where personal data fuels corporate profits and state surveillance, what are the implications for democracy? This incisive book You Must Become an Algorithmic Problem: Renegotiating the Socio-Technical Contract (Policy Press, 2025) explores the unspoken agreement we have with tech companies. In exchange for reducing the anxiety of an increasingly complex online world, we submit to algorithmic classification and predictability. This reduces incentives for us to become “algorithmic problems” with dire consequences for liberal democracy. He calls for a movement to demand that algorithms promote play, creativity and potentiality rather than conformity. This is a must-read for anyone navigating the intersection of technology, politics and identity in an increasingly data-driven world. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/public-policy

In the age of AI, where personal data fuels corporate profits and state surveillance, what are the implications for democracy? This incisive book You Must Become an Algorithmic Problem: Renegotiating the Socio-Technical Contract (Policy Press, 2025) explores the unspoken agreement we have with tech companies. In exchange for reducing the anxiety of an increasingly complex online world, we submit to algorithmic classification and predictability. This reduces incentives for us to become “algorithmic problems” with dire consequences for liberal democracy. He calls for a movement to demand that algorithms promote play, creativity and potentiality rather than conformity. This is a must-read for anyone navigating the intersection of technology, politics and identity in an increasingly data-driven world. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/science-technology-and-society

In the age of AI, where personal data fuels corporate profits and state surveillance, what are the implications for democracy? This incisive book You Must Become an Algorithmic Problem: Renegotiating the Socio-Technical Contract (Policy Press, 2025) explores the unspoken agreement we have with tech companies. In exchange for reducing the anxiety of an increasingly complex online world, we submit to algorithmic classification and predictability. This reduces incentives for us to become “algorithmic problems” with dire consequences for liberal democracy. He calls for a movement to demand that algorithms promote play, creativity and potentiality rather than conformity. This is a must-read for anyone navigating the intersection of technology, politics and identity in an increasingly data-driven world. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/technology

Cattle futures melted down Friday on President Trump's widely reported and vague comments that the White House plans to lower beef prices. Algorithmic trading likely drove the selloff deeper and faster than would have otherwise been the case. Fundamentally speaking and guided by history, government intervention in cattle and beef markets has never been [...]

Jessica and Dave dive into the messy intersection of AI, culture, and the next wave of consumer tech. From the rise of “AI slop” to whether founders should build apps just for themselves, they debate what survives the model wars and what gets eaten alive. Along the way: 2025 Silicon Valley weirdness, $1B AI comp with no products, GLP-1 memes, kids treating Fortnite like the new social network, and California's crackdown on youth tech. It's part therapy session, part future forecast—the only technology podcast that you should listen to before you head into the weekend.Chapters:00:40 Intro: The first “Jave” episode01:17 The Grove lore: Ground zero of social networks03:19 What's actually working in consumer AI?12:26 The Information's mobile app and engagement lift14:51 Summarization as the killer consumer use case16:17 The “AI slop” problem in real work product19:35 2025 Silicon Valley culture: dead internet, Sora slop, $1B comp21:08 Refounding era (Handshake) and trendwatching23:01 Startup to watch: BitRig and iPhone apps that build apps25:06 Why personalized apps32:54 OpenAI Dev Day paranoia: Who gets eaten?44:32 Parenting choices: Roblox/YouTube vs curated apps58:36 Algorithmic novelty vs repetition comfort01:02:47 OpenAI recalibrates adult contentWe're also on ↓X: https://twitter.com/moreorlesspodInstagram: https://instagram.com/moreorlessYouTube: https://youtu.be/Iug0dyIlpsAConnect with us here:1) Sam Lessin: https://x.com/lessin2) Dave Morin: https://x.com/davemorin3) Jessica Lessin: https://x.com/Jessicalessin4) Brit Morin: https://x.com/brit

Patreon backer Jake brings you this special episode about the folklore of the 2020s, in which I lose my grip on the whole thing and it gets completely out of control. Which seems appropriate. If you're enjoying the show, why not consider supporting it on Patreon? You'll get access to lots of new bonus content, including my other podcast, Patron Deities! Thanks to Ray Otus for our thumbnail image. The intro music is a clip from "Solve the Damn Mystery" by Jesse Spillane, used under a Creative Commons Attribution License.

#313: If you've ever felt like you're not measuring up to where you “should” be—whether that's finding partnership by a certain age, building lasting friendships as an adult, or navigating the expectations society throws at you—this episode is for you.Today, I'm sitting down with the always insightful Shan Boodram to talk about the real journey of connecting—from romance, to friendship and everywhere in between. Shan doesn't shy away from the messy, inconvenient parts of connection—whether it's dating in a world that prizes efficiency, how algorithms influence our decisions and attachment styles, or the challenges of learning how to nurture deep friendships later in life.We dive into why your age or relationship timeline doesn't define your worth, how to find and nurture love that truly sees you, and why inconvenience might be the secret ingredient to building bonds that last. Shan shares her wisdom on how to show up authentically in both romantic and platonic relationships, break away from rigid dating rules, and live a big, joy-filled life at any stage.If you've ever questioned whether it's too late for new love or genuine friendships—or if you're simply craving more meaningful connection—hit play on this episode.We talk about:How online algorithms are impacting our attachment styles and preferencesNavigating dating and romance without falling into the efficiency trapThe truth about cultivating friendships as an adultThe power of showing up, even when it's inconvenientLetting go of dating rules and loving by your own standardsLinks & Resources:Watch Lovers by ShanJoin the Lovers by Shan communityFollow Shan on Instagram @shanboodramGet your She's So Lucky MerchSponsors:LMNT: LMNT is a zero sugar electrolyte drink mix with a research-backed ratio of electrolytes. To try it out go to drinkLMNT.com/balancedles to receive a free LMNT sample pack with any purchase.Vionic Shoes: Use code LUCKY at checkout for 15% off your entire order at vionicshoes.com.Bumble: Start your love story on BumbleGrüns: Grüns are comprehensive nutrition packed into a snack pack a day. Visit gruns.co and use the code LUCKY for 52% off your first order.Vimergy: Vimergy: Vimergy makes liquid vitamins that are clean, potent, and actually easy for your body to absorb. Visit vimergy.com and use code LUCKY for 20% off your first order.Stay in TouchFollow on IG: @shessoluckypod @lesalfredFollow on TikTok @shessoluckypod @balancedlesSubscribe to the She's So Lucky Newsletter: https://shessolucky.kit.com/bestcaseVisit our website at shessoluckypodcast.comPlease note that this episode may contain paid endorsements and advertisements for products and services. Individuals on the show may have a direct or indirect financial interest in products or services referred to in this episode.Produced by Dear Media.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Artificial intelligence is reshaping the technology services landscape, with leading reports from IDC, Gartner, and new offerings from ServiceNow pointing to a future where managing AI sprawl becomes as critical as delivering AI capabilities themselves. High-performing channel partners are leaning into AI specialization, driving measurable outcomes for customers and fueling double-digit growth despite market pressures. At the same time, ServiceNow's “AI Experience” platform aims to consolidate fragmented AI tools, offering a unified interface that can streamline operations and reduce complexity. The broader market, according to Gartner, is accelerating rapidly, with spending on generative AI projected to surpass traditional software in the coming years—meaning providers who fail to deliver outcomes risk being left behind.Yet the rise of AI isn't all progress. Studies from Stanford, European labor groups, and cybersecurity organizations reveal a governance crisis brewing in workplaces. Workers are reporting a surge of “workslop”—AI-generated content that looks like productivity but creates no value—costing companies billions. Algorithmic management is eroding worker autonomy, while surveillance and data risks undermine trust in employers. To compound the problem, employees are increasingly feeding sensitive data into AI systems without adequate training, raising new security vulnerabilities. These trends highlight the urgent need for policies, training, and governance frameworks to ensure AI adds value instead of chaos.The disruption is also spilling into specific industries. In translation, human professionals are already being displaced as AI-driven tools gain adoption. WhatsApp's newly built-in translation capability demonstrates how “good enough” AI can be enough for most users, sidelining human expertise except in fields requiring deep cultural or contextual understanding. The translation sector serves as an early warning sign: as AI grows more capable, other professions—including legal research, finance, and customer support—face similar pressures. The lesson for providers is to help clients identify where AI is appropriate and where human oversight remains essential.Meanwhile, major vendors are steadily encroaching into IT services, redrawing the lines of what MSPs can offer. Acronis is embedding patch management into its backup suite, Slack is introducing AI-powered ticket deflection, GoTo and Nexthink are fusing support and analytics, and IBM is shifting developer tooling to its hosted cloud. Each move chips away at traditional MSP offerings, putting pressure on providers to adapt. The opportunity lies in integration and governance—helping customers unify fragmented tools, ensure compliance, and deliver outcomes that vendors alone cannot. For MSPs, the message is clear: evolve toward higher-value services, or risk being sidelined by the very vendors you once partnered with.Four things to know today00:00 From Growth to Governance: IDC, Gartner, and ServiceNow Show Where AI Is Headed for Partners and Customers05:07 AI at Work: “Workslop,” Surveillance, and Data Leaks Signal Rising Governance Crisis08:42 From WhatsApp to Workflows: AI Translation Disruption Signals Broader Job Shifts Ahead11:33 Vendors Expand Into IT Services: Acronis, Slack, IBM, and GoTo Redraw the MSP Value Line This is the Business of Tech.   Supported by: https://scalepad.com/dave/https://cometbackup.com/?utm_source=mspradio&utm_medium=podcast&utm_campaign=sponsorship Webinar:  https://bit.ly/msprmail All our Sponsors: https://businessof.tech/sponsors/ Do you want the show on your podcast app or the written versions of the stories? Subscribe to the Business of Tech: https://www.businessof.tech/subscribe/Looking for a link from the stories? The entire script of the show, with links to articles, are posted in each story on https://www.businessof.tech/ Support the show on Patreon: https://patreon.com/mspradio/ Want to be a guest on Business of Tech: Daily 10-Minute IT Services Insights? Send Dave Sobel a message on PodMatch, here: https://www.podmatch.com/hostdetailpreview/businessoftech Want our stuff? Cool Merch? Wear “Why Do We Care?” - Visit https://mspradio.myspreadshop.com Follow us on:LinkedIn: https://www.linkedin.com/company/28908079/YouTube: https://youtube.com/mspradio/Facebook: https://www.facebook.com/mspradionews/Instagram: https://www.instagram.com/mspradio/TikTok: https://www.tiktok.com/@businessoftechBluesky: https://bsky.app/profile/businessof.tech Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In Part 3 of The Algorithmic Trinity, Daniel Ramsey (MyOutDesk) and Jason Barnard (Kalicube) unpack why Generative Engine Optimization (GEO) is already outdated — and why the future is AI Assistive Engine Optimization (AAEO).

The rise of OpenArt raises a critical question: is AI democratizing creativity or flooding the world with shallow media? We examine both sides of the argument with fresh insights. Tune in for an engaging discussion on art, culture, and algorithms.Try AI Box: ⁠⁠https://aibox.aiAI Chat YouTube Channel: https://www.youtube.com/@JaedenSchaferJoin my AI Hustle Community: https://www.skool.com/aihustle

A conversation with Shawn Yeager and Derek Ross at the Imagine If conference in Nashville, TN. We discuss the current state of digital communications and identity with a specific focus on nostr.Date: September 20, 2025Shawn on Nostr: https://primal.net/shawnDerek on Nostr: https://primal.net/derekrossBitcoin Park on Nostr: https://primal.net/park Imagine If: https://bitcoinpark.com/imagineif(00:40) Future of digital comms, identity, social(01:41) Diagnosing the problems: incentives, KYC, and broken trust(03:05) Censorship, shadow bans, and owning your social graph(05:00) AI, deepfakes, and can we trust what we see?(07:24) Algorithmic control vs user choice(10:10) Introducing Nostr: open protocol, healthier engagement(11:54) Digital health, doomscrolling, and parenting challenges(15:21) Youth safety on open protocols: responsibilities and tools(18:22) Give parents the tools: OS-level controls and UX(19:35) Getting started with Nostr: keys, Primal, and UX spectrum(21:17) Vibe-coding apps: Soapbox/Shakespeare on Nostr + Bitcoin(22:39) Permissionless payments and AI-built sitesVideo: https://primal.net/e/nevent1qqs0v7rgjh55wygwuc8pmqvk0qz6qts30uaut2c8lp4dgh9usw2cdpgnznwd9 more info on the show: https://citadeldispatch.comlearn more about me: https://odell.xyz

In episode 1935, Jack and Miles are joined by linguist and author of Algospeak: How Social Media Is Transforming the Future of Language, Adam Aleksic AKA Etymology Nerd, to discuss… Who Makes Our Language? America’s Kids Ain’t Able To Read Good Or Math Good, Words As Windows Into History, What Is Even Sincere Expression In The Age Of Algorithmic Language And Content? And more! How did students perform in the nation compared to 2019? LISTEN: Spiral by BugseedSee omnystudio.com/listener for privacy information.

Story of the Week (DR):Disney Pulls Jimmy Kimmel's Show After Kirk Remarks Republicans Leverage Charlie Kirk's Death to Declare War on Free SpeechCharlie Kirk assassination reignites debate over Section 230 protections for social media companies"Section 230 needs to be repealed. If you're mad at social media companies that radicalize our nation, you should be mad," Sen. Lindsey Graham, R-S.C., said Sunday on NBC's "Meet the Press." "I have a bill that will allow you to sue these people. They're immune from lawsuits."Nexstar And Sinclair, Two Largest Station Groups, Wield Influence In ABC Decision To Pull Jimmy Kimmel In Light Of His Charlie Kirk CommentsA $6.2 billion deal looms over Jimmy Kimmel's suspensionNexstar, the largest station group in the country, is a leading champion in the broadcast industry for the FCC to relax media ownership limits and has a major merger before the Trump administration, its proposed $6.2B acquisition of Tegna, creating a mega-company with 265 stations in 44 states and the District of Columbia, representing 80% of U.S. TV households.Nexstar needs the agency to ease rules that currently limit the percentage a broadcaster can reach to 39% of the nation's television households.Sinclair also is seeking deregulation, and in its statement, it praised Carr. “We appreciate FCC Chairman Carr's remarks today and this incident highlights the critical need for the FCC to take immediate regulatory action to address control held over local broadcasters by the big national networks,” Sinclair said.Nexstar: founder/Chair/CEO Perry SookSinclair: the Smith family: currently nepobaby David Smith; board is 44% SmithWhat to know about Brendan Carr, the FCC chairman who went after Jimmy KimmelIn response to an opinion column in The Washington Post by Mark Zuckerberg, the chief executive of Facebook, outlining his ideas for removing harmful content, Carr criticized Zuckerberg's call for government regulation as a violation of the First Amendment.He later praised Zuckerberg's "instincts" to show Trump's posts that amplified COVID-19 misinformation unaltered.Carr supported Trump's "Executive Order on Preventing Online Censorship" targeting Section 230 of the Communications Decency Act.Trump filed a $15 billion defamation lawsuit against The New York Times and 4 of its journalistsTrump's NYT Lawsuit Dismissed by Republican-Appointed JudgeA federal judge on Friday dismissed Donald Trump's $15 billion defamation lawsuit against The New York Times. U.S. District Judge Steven Merryday: a lawsuit is not "a protected platform to rage against an adversary."Comcast CEO criticizes ex-MSNBC contributor's remarks about Charlie Kirk in memo to staffTrumpy Billionaires Close In on TikTok TakeoverAllies of President Donald Trump are poised to get their hands on TikTok's U.S. operations.Entrepreneur Larry Ellison, worth approximately $350 billion, and Marc Andreessen, a venture capitalist with a $2 billion net worth, have been pals with the president for years.Ellison's software giant Oracle, Andreessen's venture capital firm Andreessen Horowitz, and private equity firm Silver Lake are among a group of U.S. businesses said to be nearing a deal to take over the American operations of the short-form video app, according to a report from The Wall Street Journal.Nestlé Chairman to Step Down After Abrupt CEO FiringNestlé investors demand chair Paul Bulcke resign over CEO churn “I have full trust in Nestlé s new leadership and firmly believe this great company is well positioned for the future,” Bulcke said. “This is the right moment for me to step aside and accelerate the planned transition, allowing Pablo and Philipp to advance Nestlé's strategy and guide the company with a fresh perspective.”Board member (2018-) Pablo Isa new chairThe company appointed Dick Boer as lead independent director and vice chairman of the board of directors as of Oct. 1, while Marie-Gabrielle Ineichen-Fleisch was appointed vice chair of the board.A new ally against excessive CEO Pay: Pope LeoPope Leo appears to be particularly baffled by the Tesla pay package that could turn Elon Musk into the world's first trillionaire: “What does that mean and what's that about? If that is the only thing that has value anymore, then we're in big trouble.”Dave Ramsey Says 'We're Not All Equal. It Doesn't Work That Way' — The Rich Aren't Evil, It's Just Math and Jealousy Fueling the StigmaRashida Tlaib and Bernie Sanders introduce the Tax Excessive CEO Pay Act. Proponents of the bill argue that it will incentivize large corporations to narrow their internal pay disparities by either increasing wages for their lowest-paid employees or reducing executive compensation packages Key Provisions of the Act:Tax Trigger: The new tax would apply to companies with a CEO-to-median-worker pay ratio of 50-to-1 or greater.Graduated Tax Rates: The penalty begins with a 0.5 percentage point tax increase for companies with a pay ratio between 50 and 100-to-1.Progressive Structure: The tax rate increase climbs with the pay ratio:1.0 percentage point for ratios between 100 and 200-to-1.2.0 percentage points for ratios between 200 and 300-to-1.3.0 percentage points for ratios between 300 and 400-to-1.4.0 percentage points for ratios between 400 and 500-to-1.5.0 percentage points for ratios exceeding 500-to-1.Broad Application: The act is intended to apply to both publicly and privately held companies with annual revenues of $100 million or more.Exxon to offer auto-voting to counter shareholder activism. Here's how it works:Opt-In Program: The auto-voting feature is a voluntary, opt-in program for retail investors.Automatic Voting: Once enrolled, an investor's shares will be automatically voted in accordance with the board's recommendations on all proposals at shareholder meetings.Flexibility for Investors: Despite the automated nature, investors will still receive all proxy materials and retain the right to manually override the automatic vote on any specific proposal. They can also opt out of the program at any time, free of charge.Exxon's Stated Rationale:Leveling the Playing Field: Exxon argues that this program is a matter of fairness, designed to give retail investors the same ease of voting that institutional investors have. They contend that individual investors often lack the time and resources to research and vote on complex proxy proposals.Addressing Low Turnout: The company has highlighted that while retail investors hold a significant portion of its shares (nearly 40%), their voting turnout is low (only about a quarter of them vote).Countering Activist Agendas: Exxon has explicitly stated that activist groups have exploited this low retail voter participation to advance their own agendas, which the company claims are often political and detrimental to long-term shareholder value.Texas AG probes proxy advisers Glass Lewis, ISS amid ESG backlash By ReutersExxon Urges Europe to Repeal Rules to Make Companies Track Climate PollutionGoodliest of the Week (MM/DR):DR: Tyson is ditching corn syrupIt also plans to axe sucralose, BHA/BHT, and titanium dioxide from its food by the end of 2025MM: New Poll Finds That Americans Loathe AI53 percent of just over 5,000 US adults polled in June think that AI will "worsen people's ability to think creatively." Fifty percent say AI will deteriorate our ability to form meaningful relationships, while only five percent believe the reverse.MM: Northeast US states form health alliance in response to federal vaccine limits MMAssholiest of the Week (MM):Which capitalist is the bigger assholeBob IgerIger yanked Kimmel after pressure from affiliate owners looking to curry FCC favor in a $6bn mergerThere are comparisons being made to when Iger cancelled Roseanne:From blowhard Iger apologist Jeff Sonnenfeld: “Iger has been a fearless, equal opportunity offender in defending Disney's corporate character, whether from intrusions by the left or by the right. He was criticized harshly from many on the political right when in 2018, he cancelled Rosanne, then ABC's #1 show, when its star imploded with a cruel racial tirade about President Obama's former top advisor, Valerie Jarrett.”Sonnenfeld ignores the content of what was said obviously, since he has to make a point to kiss Iger's ass - Kimmel said MAGA didn't want the shooter to be MAGA, Barr said a black woman was from Planet of the Apes… so, very the same?This isn't about brand protection, this is about economics - and Iger the dealmaker just made a trade: short-term political expediency for cash as he tries to unload ABCIn 2023, Iger was in talks with Nexstar to buy ABC outrightAlso 2023, massive deals between Disney and NexstarNexstar's ABC agreements expire December 202614% of Nexstar stations are ABC affiliates - Tegna would add 7%Disney already was cancelled by the right for having movies that were too woke, now they just Target-ed themselves right in the groinASSHOLE ACTION ITEM:Disney's next AGM is likely March 2026 - buy Disney stock with the intention of voting out every starfucky directorBonus option: buy shares of Coca-Cola, GM, Under Armour, P&G, Reckitt Benckiser, Bristol Myers, Target, Carlyle, and Lululemon to vote the same directors out of ALL their board positions - make shit decisions in one place, you'll make them everywhereDisney's Mel Lagomasino on Coca-Cola with Carolyn Everson (twofer!), Mary Barra at GM, Everson also at Under Armour, Amy Chang at P&G, Jeremy Darroch at Reckitt Benckiser, Derica Rice at Bristol Myers, Target (anti DEI AND anti free speech!), Carlyle, Cal McDonald at LululemonVote out Sonnenfeld - on the board of Lennar Corporation - vote him out for kicks since he's so deferential to CEOs, how on earth can he hold one accountable? Is he the voice of shareholders or CEOs?Perry SookThe buyer! Nexstar looking to acquire Tegna for $6bn, which would consolidate 80% of US households local news stationsNexstar has to make nice with Brendan Carr, chair of the FCC (I miss Lina Kahn… sigh) - and Carr is purely political, so here was how they bent the knee:“Nexstar's owned and partner television stations affiliated with the ABC Television Network will preempt Jimmy Kimmel Live! for the foreseeable future beginning with tonight's show. Nexstar strongly objects to recent comments made by Mr. Kimmel concerning the killing of Charlie Kirk and will replace the show with other programming in its ABC-affiliated markets.”Again, if you read Kimmel's actual comment, he's saying that MAGA doesn't want the shooter to be MAGA… he actually didn't say ANYTHING ELSE about the shooting itselfSonnenfeld: “Kimmel's suggestion that “the MAGA gang (is) desperately trying to characterize this kid who murdered Charlie Kirk as anything other than one of them” doesn't square with the facts which are known at this point. Regardless, these comments are blatantly insensitive as political violence should never be tolerated or exploited as comedic entertainment, no matter who perpetrated it.”Except Kimmel didn't joke about political violence, he joked about the fact that MAGA is super hoping it wasn't their political violence.Perry Sook's political donations have been almost entirely to Republican candidates over the last decade (except for National Association of Broadcasters) - and it's paid offBrendan Carr, Soon To Be FCC Chair, Says Commission Will Back Local TV Stations “Even If That's In Conflict” With Broadcast NetworksNew FCC boss could unleash biggest local TV shakeup in decadesSook owns just under 6% of Nexstar stock, with Vanguard and Blackrock clocking in at a combined 21.8% - meaning about 28% of votes are guaranteed to go with managementMeaning this was all a pretense to consolidate broadcaster ownership - and Sook is one of the winners of the consolidationNow Carr has a reason he can vote for Nexstar purchase, Iger gets out of more ABCASSHOLE ACTION ITEMIt's basically too late to vote against Nexstar's board - their meeting was in June 2025, the merger will be approved by thenYou could maybe buy shares and vote against the mergerAlternatively, buy Yelp (Tony Wells), Denny's (Bernadette Aulestia), and Urban One (Geoffrey Armstrong) to vote out board elsewhereDavid Deniston SmithCEO of Sinclair, owner of 20% of ABC affiliates - the most currently, but post merger would be secondNepo baby Smith, who, with the rest of his brothers and family, own 82% of voting power, are Trump and GOP toadiesAnother mediocre conservative blowhard CEO who spent the last two decades kissing the ass of every republican he can findHe was one of Turning Point USAs biggest donors through his foundation, and issued the following statement: they would “not lift the suspension of ‘Jimmy Kimmel Live!' on our stations until formal discussions are held with ABC regarding the network's commitment to professionalism and accountability,” calling on Kimmel to make a direct apology to the Kirk family, and for the network to make a “meaningful donation” to them and Turning Point USA.In the 00s, Sinclair let a paid Bush administration propagandist deliver reporting on their local news stationsIn Trump 1.0, Sinclair forced local news broadcasters to read off a script about how mainstream media was fake newsIn the 90s, Smith was caught getting a blowjob from a prostituteASSHOLE ACTION ITEMSinclair's board is dual class dictatorship, but you CAN vote out Ben Carson on the DR Horton and Covenant Logistics boards - yes, that Ben CarsonHeadliniest of the WeekDR: Elon Musk Fires 500 Staff at xAI, Puts College Kid in Charge of Training GrokMM: If You Don't Know Who the Underperforming Director Is, It Might Be You!Are the CEO, chair or committee leads soliciting my input off-cycle?Does the CEO and select members of the executive team think of me as a trusted advisor and am I able to constructively coach behind the scenes?If the answers to all of these questions are “No,” it could be a sign that you are not performing to the level expected by your company's management.YOU DON'T REPORT TO MANAGEMENTWho Won the Week?DR: I guess they just win every week: Trumpy and creepy billionaires profiting over an app used primarily by 18-34 year olds (70%): Oracle's Larry Elison, Andreessen Horowitz's Marc Andreessen.MM: Gillette, the razor company: Pete Hegseth goes to war against military beards, stresses ‘grooming standards which underpin the warrior ethos'PredictionsDR: FCC Chair Brendan Carr cancels himself when he digs up reports when he cast himself as a First Amendment purist, denouncing efforts by Democrats and Republicans to lean on TV providers and social media platforms as “censorship” and a “chilling transgression of free speech.”ure on media a ‘chilling transgression of free speech.'”MM: I wrote this on Bluesky two days ago: “The next step for Brendan Carr and the FCC is to repeal Section 230 - after which they can sue social media companies for any anti-conservative posts. Then the silencing is complete until dissent is done via snail mail.” Today, I was right: Charlie Kirk assassination reignites debate over Section 230 protections for social media companies. We're in an era of algorithmic autocracy - Microsoft changed LinkedIn's algorithm earlier this year and there

Kyle Chayka, Staff Writer at The New Yorker and author of Filterworld, breaks down how algorithmic sameness is reshaping global culture—and what it means for creativity, identity, and authenticity online. He explores how creators are challenging traditional media, why crypto could become the internet's native currency, and how digital identity is evolving in a world shaped by metrics, machines, and media. Joining him is Keith Soljacich of Publicis Media, as they explore opportunities to create deeper meaning amid these cultural shifts. Links mentioned from the podcast:  Kyle's Twitter The New Yorker Articles Filterworld: How Algorithms Flattened Culture Keith's Twitter Follow us on Twitter:  Samwen, CoinDesk From our sponsor: Midnight is a privacy-enhancing blockchain introducing vital, programmable privacy and selective disclosure capabilities. It means dApps can allow users to control what information is revealed without putting sensitive data on-chain, allowing you to break free from the limitation of choosing between utility or privacy. We deserve more when it comes to privacy. Experience the next generation of blockchain that is private and inclusive by design. Break free with Midnight, visit midnight.network/break-free.

How to have reasoned debate about hard topics in an age of social media manipulation.

Kyle Chayka, Staff Writer at The New Yorker and author of Filterworld, breaks down how algorithmic sameness is reshaping global culture—and what it means for creativity, identity, and authenticity online. He explores how creators are challenging traditional media, why crypto could become the internet's native currency, and how digital identity is evolving in a world shaped by metrics, machines, and media. Joining him is Keith Soljacich of Publicis Media, as they explore opportunities to create deeper meaning amid these cultural shifts. Links mentioned from the podcast:  Kyle's Twitter The New Yorker Articles Filterworld: How Algorithms Flattened Culture Keith's Twitter Follow us on Twitter:  Samwen, CoinDesk From our sponsor: Midnight is a privacy-enhancing blockchain introducing vital, programmable privacy and selective disclosure capabilities. It means dApps can allow users to control what information is revealed without putting sensitive data on-chain, allowing you to break free from the limitation of choosing between utility or privacy. We deserve more when it comes to privacy. Experience the next generation of blockchain that is private and inclusive by design. Break free with Midnight, visit midnight.network/break-free.

In this episode of The Algorithmic Trinity, Daniel Ramsey (CEO of MyOutDesk) and Jason Barnard (Kalicube) unpack how AI chatbots, Knowledge Graphs, and search engines decide whether to recommend your brand.

Robert Douglas is a British content creator, social entrepreneur, and devoted father of two young boys. He has become a prominent voice in modern fatherhood, known for promoting authenticity in parenting and sharing an unfiltered view of family life – often from a Black father's perspective – with a blend of humor and thoughtful insight.Empowering children and nurturing joy are at the heart of Robert's ethos, as he uses his platform to champion anti-racism and positive action for underserved communities. He and his wife, Sherrianne, are raising their two sons together in this spirit of openness and positivity, cultivating a home life “based on joy and laughter” even amid life's challenge. Key Topics:   ⭐ Robert's Story - Growing Up With Supportive Parents ⭐ Navigating Fatherhood Consciously ⭐ Navigating The Complex Issue Of Children's Freedom ⭐ Learning Through Risk And Mistakes ⭐ Fatherhood Fears And How To Truly Support Them ⭐ Parenting As An Individual Experience ⭐ Breaking Stereotypes Of Black Fatherhood ⭐ Redefining Gender Roles In Relationships And Parenting ⭐ The Experience Of Raising Boys In A Digital Age ⭐ Media Literacy - How To Raise Kids Who Deal With The Digital World Connect With David - The Authentic Man: Breaking The Chains Of Avoidance Waitlist: https://forms.gle/oFyNbPmugYKtjQpRA   Instagram: https://www.instagram.com/theauthenticman_/  Website: https://www.theauthenticman.net/  For Coaching: hello@theauthenticman.net  Newsletter: https://www.theauthenticman.net/home-subscribe  Connect With Robert:  Instagram: http://instagram.com/robertjdouglas_

In Part 1 of The Algorithmic Trinity series, Daniel Ramsey (CEO of MyOutDesk) and Jason Barnard (Kalicube) break down why SEO alone no longer wins the game. Jason introduces the Algorithmic Trinity — the three pillars every AI assistive engine relies on: 1️⃣ Search results (SEO still matters, but not alone) 2️⃣ Knowledge Graphs (the fact-checking brain of AI) 3️⃣ Chatbots/LLMs (the conversational layer that users interact with daily) ✅ Learn why optimizing across all three is now essential — and how the shift from SEO to AI strategy is already reshaping business growth.

On this episode, we define acute mania and describe its clinical presentations, underlying causes, and pathophysiology. We evaluate current guidelines and evidence-based treatment strategies for managing acute mania, including pharmacologic and nonpharmacologic interventions. We also compare and contrast the efficacy, safety profiles, and appropriate use of mood stabilizers, antipsychotics, and adjunctive therapies in the management of acute manic episodes. Cole and I are happy to share that our listeners can claim ACPE-accredited continuing education for listening to this podcast episode! We have continued to partner with freeCE.com to provide listeners with the opportunity to claim 1-hour of continuing education credit for select episodes. For existing Unlimited (Gold) freeCE members, this CE option is included in your membership benefits at no additional cost! A password, which will be given at some point during this episode, is required to access the post-activity test. To earn credit for this episode, visit the following link below to go to freeCE's website: https://www.freece.com/ If you're not currently a freeCE member, we definitely suggest you explore all the benefits of their Unlimited Membership on their website and earn CE for listening to this podcast. Thanks for listening! If you want to support the podcast, check out our Patreon account. Subscribers will have access to all previous and new pharmacotherapy lectures as well as downloadable PowerPoint slides for each lecture. If you purchase an annual membership, you'll also get a free digital copy of High-Powered Medicine 3rd edition by Dr. Alex Poppen, PharmD. HPM is a book/website database of summaries for over 150 landmark clinical trials.You can visit our Patreon page at the website below:  www.patreon.com/corconsultrx We want to give a big thanks to Dr. Alex Poppen, PharmD and High-Powered Medicine for sponsoring the podcast..  You can get a copy of HPM at the links below:  Purchase a subscription or PDF copy - https://highpoweredmedicine.com/ Purchase the paperback and hardcover - Barnes and Noble website We want to say thank you to our sponsor, Pyrls. Try out their drug information app today. Visit the website below for a free trial: www.pyrls.com/corconsultrx We also want to thank our sponsor Freed AI. Freed is an AI scribe that listens, prepares your SOAP notes, and writes patient instructions. Charting is done before your patient walks out of the room. You can try 10 notes for free and after that it only costs $99/month. Visit the website below for more information: https://www.getfreed.ai/  If you have any questions for Cole or me, reach out to us via e-mail: Mike - mcorvino@corconsultrx.com Cole - cswanson@corconsultrx.com

In this conversation, Andrew Poelstra discusses the recent launch of Simplicity on Liquid, a federated sidechain of Bitcoin. He explains the technical aspects of Liquid, its advantages, and how Simplicity serves as a new scripting language that enhances expressivity and formal verification capabilities. The discussion covers potential use cases for Simplicity, including advanced covenant implementations, ZK verification, and its role in capital markets and asset issuance. The conversation also touches on the implications of stablecoins moving to their own chains and contrasts Liquid with other Layer 2 solutions like Lightning.Takeaways

What does it mean when AI influences who gets a job, a loan, or even a second chance? In this episode, Renée Cummings, criminologist, data activist, and Professor of Practice in Data Science at the University of Virginia, shares a compelling look at how algorithmic systems can shape human lives and why leaders must pay attention. Renée draws from her experience in criminal justice and public policy to reveal how data-driven decisions can reinforce bias—or drive equity—depending on how they're built and governed. She introduces the concept of “competitive vigilance” and explains why understanding the human consequences of AI is not just ethical - it's essential for innovation and leadership. If you're navigating digital transformation, this conversation will help you see AI through a more human, strategic lens. This episode was published in May, but we want to remind this important topic while we work on new episodes and enjoy summer holidays.

This week we talk about surge pricing, Walmart, and the Robinson-Patman Act.We also discuss personal data, AC settings, and Delta's earnings call.Recommended Book: How the World Became Rich by Mark Koyama and Jared RubinTranscriptThe US Robinson-Patman Act of 1936 is also called the Anti-Price Discrimination Act, and it was passed to make it illegal for a product supplier to charge different prices to different customers.So a company that makes candy bars wouldn't be allowed to charge one price to most of their customers, all the smaller and mid-sized convenience stores and mom-and-pop grocery stores, for instance, and then a lower price to the big stores, the Walmarts and Amazons of the world.The concern was that these larger players, which at the time this law was passed were burgeoning grocery stores like A&P, would be able to achieve a monopolistic position in the market for these goods, these slightly lower prices giving them one more advantage over their smaller competitors.During the four decades or so of this Act's enforcement, small grocery stores has prices that were, on average, about 1% higher than those offered by their large competitors, and the eight largest grocery store chains only captured about 25% of all grocery sales in the US—essentially every city and town of any size had at least one small grocery store, and most had several of them, during this period. It was a very competitive market.During the Reagan administration in the 80s, though, enforcement was abandoned, as the folks in charge of that enforcement were convinced this Act was holding back growth; they saw it as a handout to small businesses at the expense of big business, so while it technically remained on the books, they just stopped enforcing it, and the big businesses in these spaces got the message pretty quickly.Walmart was the first big business to really lean into the new powers afforded them by this fresh governmental stance, and that led to it becoming the country's largest grocery store chain by 2001, and other big grocery brands, like Kroger and Safeway, began to do the same, consolidating all their buying so they could put in huge orders like Walmart was able to put in, and that allowed them to demand lower prices, which in turn allowed them to dramatically increase profits and gobble up their smaller competition.All of which led to the emergence of food deserts across the country, a term that was coined in 1995 to refer to areas where there are simply no grocery stores within a reasonable distance of relatively large populations of people, because smaller grocery stores can no longer compete, even when they're the only player in town; folks have to travel to the larger chain stores, and have no real options closer to home, which can result in food precariousness, and situations in which the only nearby food options are unhealthy ones—the snacks at gas stations, for instance.This same general pattern played out across all retail spaces, including pharmacies and bookstores and athletic supply stores, and between 1982 and 2017, the total market share of independent retailers in the US dropped from 53% to 22%.Which in some ways is great at the federal level, as—and this is what the Reagan administration seemed to want, back in the 80s—big businesses can grow a lot faster and bigger than small businesses, and that can lead to outsized GDP numbers, and other such macro-scale figures.Unfortunately, while independent retailers tend to keep nearly half of the revenue they pull in within their local community, major chains only keep something like 14% in the local community—so the shift from independent to chain retailers has had a deleterious impact on communities across the US, in the sense of having less competition, having food and other sorts of product deserts, and in terms of tax revenues and overall economic wealth being sapped from these areas and moved to other places, creating some relatively few winners and a whole lot of losers, in the process.What I'd like to talk about today is another type of variable pricing, this one more directly aimed at consumers, and enabled, at least in its modern incarnation, by big data and the devices we use every day.—Dynamic pricing refers to changing the price of goods or services based on all sorts of variables.Demand or surge pricing, for instance, might see the price of a bus ticket or rideshare ride with Uber cost more during rush-hour, the idea being that there are only so many bus seats and only so many available rideshare rides to go around, and when everyone's either trying to get to work or get home from work, there will be a lot more people wanting these finite number of seats and rides than there are seats and rides available.Upping the prices, then, is a means of determining who wants these things the most, because they're willing to pay at times massively inflated prices for something that would cost far less in an hour or two, once the rush has subsided.Similar price-inflation occurs during peak energy-use periods, and energy companies usually explain this price-bump by suggesting that it encourages their customers to use more energy when it's abundant and cheap, and to use less of it when it's scarce and expensive.On very hot days when everyone is using their air conditioners to stay cool, then, inflated energy prices might encourage them to be less aggressive with their AC settings, keeping their indoor temperatures at a more reasonable level, which in turn ensures there's more energy available for everyone and less risk of brownouts or blackouts.This pricing strategy is often seen by those on the receiving end of such price-bumps, as price gouging, which refers to companies taking advantage of temporary variables to massively inflate their prices, at times to abusive levels that they can justify by pointing at those variables and a desire to moderate supply and demand.So if there's a big convention in town, local hotels can argue that they're doubling or tripling their prices because there are not enough rooms for everyone who wants rooms on those days, but this could also be construed as a money-grab, these hotel companies knowing that some people won't be able to avoid paying for a place to stay during the convention they have to attend, so they're taking advantage of customers who have no choice but to pay up.We saw similar dynamics play out globally during the height of the Covid-19 pandemic, when folks who had high-quality masks on hand were able to charge incredible sums for those masks because production hadn't yet scaled up, so they were relatively scarce and thus precious, and these people and companies with the right product at the right time knew they could get away with charging many times the actual sticker-price of that product, because some people would feel they had no choice but to pay it.Each situation of this kind will feel reasonable and suitable for the supply-demand situation to some, and completely unreasonable and abusive to others, and it's possible to have a bit of both in many such situations—the companies in question actually want to manage a scarce supply of something, but are also keen to make as much money as possible while doing it.Dynamic pricing has become even more common in online marketplaces like Amazon, where it's not just holidays or events or the sudden emergence of global pandemics that can impact demand and thus, the prices retailers can get away with charging would-be customers.Amazon has algorithms that keep track of what competitors are charging for the goods they offer, what sort of demand the market is seeing for said goods, what inventory looks like—if they have a lot or very few of something available to sell—and all sorts of other factors that might reasonably impact the price of a product, even a little bit.As of 2024, the price of a product listed on Amazon changes several times a day, in some cases every 10 minutes, and they make about 2.5 million prices changes every single day, adjusting for those aforementioned micro-scale variables, on a product-by-product basis, but also adjusting their entire catalog so that relatively uncommon goods have higher prices, but common goods have lower prices, which means customers shopping around will tend to see Amazon's lower-priced goods more often than the higher-priced ones, which in turn can adjust their perception of the company and its marketplace in a favorable, lower-price direction.Amazon also has access to just a silly amount of data about their customers, some of it scooped up while we surf their sites, and some bought from other data-aggregators. And this allows Amazon, just like most tech companies and retailers, these days to track our behavior, watching what we click on, how long we linger on different products or product types, noticing our searches and contextualizing all of it with where we live, what we've purchased in the past, and so on.The company isn't very transparent about how it uses all this personal data, but while it's been been speculated that they might adjust prices based on our individual profiles, most evidence suggests they mostly use it to determine what we're shown—what products are promoted to us, basically, as opposed to setting prices based on what it thinks we'll pay, as individuals.The same generally seems to be true of other retailers right now, though there are concerns that this might change at some point in the near-future, as new technologies, some based on AI, enable the more-rapid and sophisticated crunching of data, and the consequent individualization of prices, even in person.US airline Delta, for instance, recently announced that it would be using AI to help it boost profits by charging different customers different prices for the same airline seat.These prices would be based on their customer profile, which means all the data scooped up by Delta from various sources, including things like past purchases, regular flight schedules, and how much money their systems think each customer makes and has available to spend.The president of the company said on a recent earnings call that they've been running a pilot project for this approach that resulted in about 3% of ticket sales being sold based on this model over the past 6 months, and by the end of the year, their goal is to increase that to 20% of tickets.In theory, this sort of system could be good for some customers some of the time, because it could drop prices on tickets that customers wouldn't want to, or wouldn't be able to pay for, otherwise. If I'm considering a trip, but the tickets are more expensive than I want to pay, these systems could theoretically recognize this and offer them to me at a price they can afford to sell them at, and which I can afford. That could lead to more ticket sales, and thus, higher profits.The evidence on the ground with these sorts of systems usually points at price increases, not decreases, though: the companies using these models to see how much they can get per unit, not using them to sell more units at lower profit margins.In other words, usually it's wealthier consumers who get the better deals, as these companies want to keep them coming back, spending larger sums of money on glitzier products and services over time, while poorer consumers have fewer options, and will thus tend to pay whatever they're told they have to pay.Delta spent most of July 2025 trying to control the backlash that erupted following that earnings call, and they're now saying, to the press but also in formal letters to government watchdogs who expressed concerns about what they said they planned to do, that no no no, we misspoke, we're not using individualized data to set prices, it's all good, don't worry about it.That announcement from Delta came shortly after lawmakers announced they would be pushing to get a new act, the Stop AI Price Gouging and Wage Fixing Act, passed into law, and though some US Senators have said they'll block such efforts by Delta, other airlines, including Azul, WestJet, Virgin Atlantic, and VivaAerobus are also clients of the Israeli company, Fetcherr, that Delta has been working with to run their AI pricing pilot program—and representatives from Fetcherr have claimed that this pricing model is irresistible to those in charge of these companies, so it will probably take over the airline industry relatively quickly, and they plan to expand into other industries soon.These sorts of pricing models aren't typically very popular with customers, and efforts by Walmart and other big grocery chains to remove static in-store pricing labels and replace them with digital versions, or in some extreme cases to remove them entirely and rely on apps on customers' phone to show prices on goods, raised similar alarm bells, as dynamic pricing can allow the store to more rapidly change their prices based on demand, like Uber's surge pricing model, but maybe applied to flour or cough medicine instead of rideshare seats, and in-app pricing could allow them to show different prices to different people shopping for the same thing at the same time—again, based on income, buying patterns, and so on.Walmart and everyone else dabbling in this space has, like Delta, claimed they intend no such dynamism in their pricing, even as their CEOs in some cases continue to brag to investors about the possibilities. As a result, there seems to be a decent chance we'll see the large-scale deployment of these sorts of models in at least some customer-facing industries within the next year or two, some company deciding to more fully test the regulatory establishment's appetite for challenging this push into a new pricing paradigm that would, theoretically at least, allow big companies to earn still-higher profits and grow even larger.Show Noteshttps://drive.google.com/file/d/1HQoQhvfVv8p0XmOdDIiWTnmd2YM_za07/viewhttps://www.businessinsider.com/amazon-price-changes-2018-8https://en.wikipedia.org/wiki/Algorithmic_pricinghttps://en.wikipedia.org/wiki/Dynamic_pricinghttps://www.archeraffiliates.com/post/amazon-dynamic-pricinghttps://arstechnica.com/tech-policy/2025/08/delta-denies-using-ai-to-come-up-with-inflated-personalized-prices/https://arstechnica.com/tech-policy/2025/07/will-ai-end-cheap-flights-critics-attack-deltas-predatory-ai-pricing/https://www.the-sun.com/money/14839597/walmart-kroger-electronic-labels-dynamic-pricing-demand-wendyshttps://www.nytimes.com/2024/10/23/business/kroger-walmart-facial-recognition-prices.htmlhttps://www.nerdwallet.com/article/finance/what-is-dynamic-pricinghttps://www.theatlantic.com/ideas/archive/2024/12/food-deserts-robinson-patman/680765/https://www.indieretailermonth.com/statisticshttps://en.wikipedia.org/wiki/Robinson%E2%80%93Patman_Act 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

John Pasmore, thinks the answer is yes — but not if we keep doing things the old way. In this episode, the CEO and founder of Latimer AI lays out the company's strategy for inclusive AI: replace scraped social content with vetted academic material, digitize underrepresented history, and build guardrails with purpose.Charna and John also explore the implications for enterprise, healthcare, and education — sectors where small biases can cause serious harm.  TIMESTAMPS[00:00:00] — Intro  [00:02:00] — John's Journey into AI[00:04:00] — Data Sources & Historical Archives[00:06:00] — Underrepresented Digital Histories[00:08:00] — Flawed Training Sets in LLMs[00:10:00] — Measuring & Detecting Bias[00:12:00] — Algorithmic Bias in Hiring[00:14:00] — Copyright & Ethical Data Use[00:16:00] — Multimodal Platform Rollout[00:18:00] — Enterprise Privacy & LLM Hosting[00:20:00] — Optimism & Intergenerational Impact[00:22:00] — Founding in a Crowded Market[00:26:00] — Charna's Takeaways on Systemic Bias[00:28:00] — Guardrails vs Structural Solutions[00:30:00] — Training Data vs Output Behavior[00:32:00] — Algorithmic vs Contextual Bias[00:34:00] — Providing Cultural Context to LLMs[00:36:00] — Community-Based Data Labeling[00:38:00] — The Yard Tour & HBCU Partnerships[00:40:00] — Wrapping up the Season & What's Next QUOTESJohn Pasmore “If a company is using AI to look at resumes, what is it? How is it classifying people's names or, we're surprised that sometimes it's using the name and coming to some conclusion about the desirability of a candidate just based on their name, where maybe that wasn't the intent."Charna Parkey “Instead of modifying the model itself, we can say, okay, here's a historical context, here's a new cultural insight, and here's the situation. Now tell me about the outcome, right?" 

01:02:21 – 01:05:19Elon Musk's Grok AI Fails to DeliverDespite lofty claims, Musk's Grok 4 trails behind competitors in AI rankings. Its performance is criticized as underwhelming and full of PR spin. 01:09:26 – 01:11:24Virtual Girlfriends Fuel Loneliness CrisisNew AI “waifu” avatars promote fantasy relationships, worsening isolation and mental health—especially for men withdrawing from real-life interaction. 01:16:09 – 01:17:19AI Deployment Expands into Warfare and Tax EnforcementPlans emerge to use AI in federal bureaucracy, drone warfare, and the IRS—raising concerns over automated surveillance and punitive actions. 01:18:38 – 01:20:12Efficiency in Government Can Be a ThreatWhile bureaucratic inefficiency has historically shielded citizens from rapid overreach, AI threatens to replace it with swift, unchecked enforcement. 01:20:37 – 01:21:00No Compassion in AI EnforcementAlgorithms can't show mercy or discretion, applying rules mechanically regardless of context or consequence. 01:39:15 – 01:42:20WEF's Agentic State: AI Rule Without HumansA WEF proposal calls for AI-run governance systems with minimal human oversight. The initiative raises alarms about digital tyranny. 01:51:31 – 01:52:41Algocracy: Rule by Machine, Without MercyA future governed by algorithms means citizens lose all appeal to empathy. Errors, hallucinations, and overreach become unstoppable. 02:17:01 – 02:17:16Smart Fridges, AI Diets, and Biometric RestrictionsA satirical warning about AI-enabled appliances like “lockdown fridges” highlights concerns over biometric surveillance controlling personal behavior. 02:17:17 – 02:18:33Trade Skills and AI AutomationSkilled trades like plumbing and mechanics may be safer from automation, but propaganda has pushed youth away from blue-collar work—leaving society more vulnerable to technocratic control. 02:45:26 – 02:48:49America's Unsustainable Debt SpiralThe U.S. debt has accelerated exponentially, doubling roughly every decade. Global players like Russia are now stockpiling silver, hinting at the coming monetary reset. 02:48:50 – 02:51:14Tariff Theater and Economic DeceptionCriticism of Trump's tariff policies suggests they are more about image than substance, benefiting multinationals while failing to revive U.S. industry. 02:55:06 – 02:56:10CBDC Alert: Republicans Cave, Democrats UnitedBills to stop the Central Bank Digital Currency (CBDC) failed in Congress. Every Democrat voted against blocking it, and some Republicans supported its implementation. 03:31:00 – 03:33:16DOJ Denials Fuel Epstein ConspiraciesDespite claims there was no Epstein client list or murder, multiple contradictions and media spin raise more suspicion—especially as mainstream outlets mock “conspiracies” while refusing basic transparency. 03:42:16 – 03:43:16DOJ Video Shows 3 Minutes Missing from Epstein Prison ClipNew forensic analysis reveals nearly 3 minutes were cut from the prison footage—more than the one-minute “glitch” initially reported. Experts confirm multiple edit points in what appears to be a doctored video. 03:45:47 – 03:47:11Ghislaine Maxwell Reportedly Willing to TestifyMaxwell says she's never been asked to testify but is willing to reveal the truth—though skepticism remains. Her plea deal and elite ties make her unlikely to expose anything that could jeopardize powerful clients. 03:51:48 – 03:53:10Trans Influencer Promotes Gender Confusion and InfantilizationA popular YouTuber discusses “found family” and being called “mom” by a recently transitioned teen. The speaker's exaggerated mannerisms and self-identification are criticized as performative and deceptive. Follow the show on Kick and watch live every weekday 9:00am EST – 12:00pm EST https://kick.com/davidknightshow Money should have intrinsic value AND transactional privacy: Go to https://davidknight.gold/ for great deals on physical gold/silverFor 10% off Gerald Celente's prescient Trends Journal, go to https://trendsjournal.com/ and enter the code KNIGHTFind out more about the show and where you can watch it at TheDavidKnightShow.comIf you would like to support the show and our family please consider subscribing monthly here: SubscribeStar https://www.subscribestar.com/the-david-knight-showOr you can send a donation throughMail: David Knight POB 994 Kodak, TN 37764Zelle: @DavidKnightShow@protonmail.comCash App at: $davidknightshowBTC to: bc1qkuec29hkuye4xse9unh7nptvu3y9qmv24vanh7Become a supporter of this podcast: https://www.spreaker.com/podcast/the-david-knight-show--2653468/support.

01:02:21 – 01:05:19Elon Musk's Grok AI Fails to DeliverDespite lofty claims, Musk's Grok 4 trails behind competitors in AI rankings. Its performance is criticized as underwhelming and full of PR spin. 01:09:26 – 01:11:24Virtual Girlfriends Fuel Loneliness CrisisNew AI “waifu” avatars promote fantasy relationships, worsening isolation and mental health—especially for men withdrawing from real-life interaction. 01:16:09 – 01:17:19AI Deployment Expands into Warfare and Tax EnforcementPlans emerge to use AI in federal bureaucracy, drone warfare, and the IRS—raising concerns over automated surveillance and punitive actions. 01:18:38 – 01:20:12Efficiency in Government Can Be a ThreatWhile bureaucratic inefficiency has historically shielded citizens from rapid overreach, AI threatens to replace it with swift, unchecked enforcement. 01:20:37 – 01:21:00No Compassion in AI EnforcementAlgorithms can't show mercy or discretion, applying rules mechanically regardless of context or consequence. 01:39:15 – 01:42:20WEF's Agentic State: AI Rule Without HumansA WEF proposal calls for AI-run governance systems with minimal human oversight. The initiative raises alarms about digital tyranny. 01:51:31 – 01:52:41Algocracy: Rule by Machine, Without MercyA future governed by algorithms means citizens lose all appeal to empathy. Errors, hallucinations, and overreach become unstoppable. 02:17:01 – 02:17:16Smart Fridges, AI Diets, and Biometric RestrictionsA satirical warning about AI-enabled appliances like “lockdown fridges” highlights concerns over biometric surveillance controlling personal behavior. 02:17:17 – 02:18:33Trade Skills and AI AutomationSkilled trades like plumbing and mechanics may be safer from automation, but propaganda has pushed youth away from blue-collar work—leaving society more vulnerable to technocratic control. 02:45:26 – 02:48:49America's Unsustainable Debt SpiralThe U.S. debt has accelerated exponentially, doubling roughly every decade. Global players like Russia are now stockpiling silver, hinting at the coming monetary reset. 02:48:50 – 02:51:14Tariff Theater and Economic DeceptionCriticism of Trump's tariff policies suggests they are more about image than substance, benefiting multinationals while failing to revive U.S. industry. 02:55:06 – 02:56:10CBDC Alert: Republicans Cave, Democrats UnitedBills to stop the Central Bank Digital Currency (CBDC) failed in Congress. Every Democrat voted against blocking it, and some Republicans supported its implementation. 03:31:00 – 03:33:16DOJ Denials Fuel Epstein ConspiraciesDespite claims there was no Epstein client list or murder, multiple contradictions and media spin raise more suspicion—especially as mainstream outlets mock “conspiracies” while refusing basic transparency. 03:42:16 – 03:43:16DOJ Video Shows 3 Minutes Missing from Epstein Prison ClipNew forensic analysis reveals nearly 3 minutes were cut from the prison footage—more than the one-minute “glitch” initially reported. Experts confirm multiple edit points in what appears to be a doctored video. 03:45:47 – 03:47:11Ghislaine Maxwell Reportedly Willing to TestifyMaxwell says she's never been asked to testify but is willing to reveal the truth—though skepticism remains. Her plea deal and elite ties make her unlikely to expose anything that could jeopardize powerful clients. 03:51:48 – 03:53:10Trans Influencer Promotes Gender Confusion and InfantilizationA popular YouTuber discusses “found family” and being called “mom” by a recently transitioned teen. The speaker's exaggerated mannerisms and self-identification are criticized as performative and deceptive. Follow the show on Kick and watch live every weekday 9:00am EST – 12:00pm EST https://kick.com/davidknightshow Money should have intrinsic value AND transactional privacy: Go to https://davidknight.gold/ for great deals on physical gold/silverFor 10% off Gerald Celente's prescient Trends Journal, go to https://trendsjournal.com/ and enter the code KNIGHTFind out more about the show and where you can watch it at TheDavidKnightShow.comIf you would like to support the show and our family please consider subscribing monthly here: SubscribeStar https://www.subscribestar.com/the-david-knight-showOr you can send a donation throughMail: David Knight POB 994 Kodak, TN 37764Zelle: @DavidKnightShow@protonmail.comCash App at: $davidknightshowBTC to: bc1qkuec29hkuye4xse9unh7nptvu3y9qmv24vanh7Become a supporter of this podcast: https://www.spreaker.com/podcast/the-real-david-knight-show--5282736/support.

The digital world has become a hunting ground where algorithms serve as silent recruiters, pulling vulnerable young men toward misogynistic ideologies at alarming speeds. This eye-opening conversation with experts Laura Frombach and Joy Farrow reveals the disturbing reality of how technology amplifies hatred against women and girls.When researchers created a fake social media account for a 16-year-old boy, the algorithm began serving misogynistic content within just 23 minutes. This isn't coincidence – it's systematic grooming at an algorithmic level. While human predators might take months to isolate and indoctrinate victims, today's AI-powered platforms accomplish the same goal with frightening efficiency through data-backed feedback loops that constantly refine their effectiveness.The most troubling aspect is how this online radicalization translates directly into real-world violence. We examine three chilling case studies where digital hate found deadly physical expression, including the notorious Isla Vista killings by Elliot Roger and the Parkland High School shooting. These weren't isolated incidents caused by individual pathology alone – they represent the culmination of algorithmic radicalization pathways that validate and amplify harmful ideologies.For parents, educators and concerned citizens, addressing this crisis requires immediate action. Our experts provide practical strategies for engaging with youth about their online activities, teaching comprehensive media literacy, and effectively intervening when someone shows signs of radicalization. Most importantly, they emphasize the need to "call out the content but call in the viewer" – recognizing that many drawn to toxic content are primarily seeking connection rather than hatred itself.

Send us a textWhen Google penalties strike, panic often follows. Whether you've been hit by the recent massive core update or you're dealing with a mysterious traffic drop, knowing how to recover is crucial for your site's survival.Google penalties come in two distinct flavours, each requiring a different recovery approach. Manual penalties occur when an actual person from Google's web spam team reviews your site and finds violations of their terms of service. The silver lining? You'll receive specific notification through Search Console about what went wrong, giving you a clear path to fix the issues. Whether it's removing spammy content, addressing cloaking techniques, or disavowing problematic backlinks, the reconsideration process provides a structured way back into Google's good graces.Algorithmic penalties present a murkier challenge. These automated judgments come with no notification or reconsideration process, leaving you to play detective with your analytics and Google's limited update information. As someone who's personally recovered from algorithmic penalties, I can attest that patience becomes your greatest asset. Through careful analysis of affected pages, strategic improvements, and persistence, recovery is absolutely possible—sometimes resulting in traffic that exceeds pre-penalty levels. The key is avoiding rash decisions during active updates and learning from the community of others experiencing similar issues.Don't surrender to the myth that penalties mean permanent exile from search results. While the work required varies dramatically based on the severity of your violations, nearly every type of Google penalty has proven recoverable with the right approach. Have you been hit by a recent update? Share your experience and let's work through recovery strategies together!SEO Is Not That Hard is hosted by Edd Dawson and brought to you by KeywordsPeopleUse.com Help feed the algorithm and leave a review at ratethispodcast.com/seo You can get your free copy of my 101 Quick SEO Tips at: https://seotips.edddawson.com/101-quick-seo-tipsTo get a personal no-obligation demo of how KeywordsPeopleUse could help you boost your SEO and get a 7 day FREE trial of our Standard Plan book a demo with me nowSee Edd's personal site at edddawson.comAsk me a question and get on the show Click here to record a questionFind Edd on Linkedin, Bluesky & TwitterFind KeywordsPeopleUse on Twitter @kwds_ppl_use"Werq" Kevin MacLeod (incompetech.com)Licensed under Creative Commons: By Attribution 4.0 Licensehttp://creativecommons.org/licenses/by/4.0/

Episode SummaryIn a galaxy flooded with content, storytelling is no longer a skill—it's the rebellion.In this milestone 50th episode, Nish and David Granger frame the conversation through the lens of the original Star Wars trilogy—exploring how brands moved from story-rich origins (A New Hope), through algorithmic obedience and commoditization (The Empire Strikes Back), to a moment of reckoning (Return of the Jedi).They dive into why storytelling is the last true differentiator in an AI-driven landscape, how CMOs became “chief algorithm officers,” and why creative ops leaders must become the Rebel Alliance—fighting not just for brand expression, but for brand soul.This episode isn't just about marketing—it's about what you choose to stand for. Key TakeawaysStorytelling isn't decoration—it's differentiation. It's not the packaging. It's the product.Creative commoditization is real—and the Death Star is already fully operational. The question is whether you fight it.The most courageous brands aren't chasing trends—they're building lore.Algorithms reward noise. Storytelling builds meaning. One optimizes for today. The other creates forever fans.Red Bull didn't just sponsor sports. It built a media empire. It didn't buy attention—it earned identity. That blueprint is still possible.From Listening to Thining: From Brand Complacency to Creative RebellionUse these prompts to reflect solo—or spark bold conversations with your team:What stories is your brand telling—accidentally or intentionally?Are you feeding the content machine—or creating stories with staying power?How has your team grown stronger (or weaker) in its narrative instincts?What would your team do differently if storytelling was the mission, not just a deliverable?What's the weirdest, most human thing your brand has ever done?And why did it work?What's your brand's version of the Rebel Alliance? Who are you trying to awaken?Guest: David Granger, Content Director & Co-Founder at Arc & Foundry | Former Head of Content at Red Bull Media House, cinch, PMIDavid Granger has spent over two decades turning stories into strategy. From his roots in journalism to building Red Bull's iconic storytelling machine, David now leads Arc & Foundry, a content marketing agency that crafts emotionally resonant brand narratives. In this episode, he joins Nish to map the creative rebellion—past, present, and future.

On this week's episode, we dive into the hidden biases of the digital age with Dr. Safiya Umoja Noble, author of the groundbreaking book, Algorithms of Oppression. Dr. Noble unpacks how search engines, often seen as neutral tools, can reinforce harmful stereotypes and limit access to critical knowledge. Join us as we explore the forces shaping our digital experiences and discuss the urgent need for accountability in technology. This show first aired in December 2024. Featuring: Dr. Safiya U. Noble, David O. Sears Presidential Endowed Chair of Social Sciences and professor of gender studies, African American studies and information studies at UCLA Making Contact Team: Episode host: Anita Johnson Producers: Anita Johnson, Salima Hamirani, Amy Gastelum, and Lucy Kang Executive Director: Jina Chung Engineer: Jeff Emtman Digital Media Marketing: Lissa Deonarain Learn More: Dr. Safiya Noble | Dr. Noble @ UCLA | Algorithms of Oppression | Purdue CDS Inaugural Lecture | Dr. Noble discusses the themes of her book

Prepare for an unforgettable finale as Courtenay Turner closes out her acclaimed radio series with an explosive exploration into the hidden mechanisms shaping public consensus—and invites listeners to dive deeper into her detailed Substack exposé, The Algorithmic Oracle: From Cold War Forecasting to Modern Mind Control—Exposing the Global Infrastructure of Manufactured Consensus. Unveiling the Delphi Method: Journey from its origins in 1950s RAND forecasting labs to today's algorithmic mind-control systems, revealing the staged “expert consensus” driving modern media narratives. Cybernetic Feedback Loops: Live breakdown of how social media platforms act as automated Delphi panels, reinforcing echo chambers and manufactured agreement at massive scale. Psychological Warfare Exposed: Striking examples of how governments, corporations, and institutions weaponize expert networks to engineer public opinion and suppress dissenting voices. Cognitive Sovereignty Under Fire: Compelling discussion on why independent thought has become a revolutionary act in an era of digital consensus manufacturing. Actionable Defense: Practical strategies for building resilient knowledge communities, verifying claims beyond manufactured consensus, and reclaiming mental autonomy. This landmark broadcast not only culminates eighty-seven episodes of incisive analysis but also serves as a rallying cry for listeners to challenge the invisible forces molding their beliefs. As information warfare intensifies, understanding and resisting these covert operations is essential for preserving democratic discourse. Join the Conversation: Share insights and reactions using #AlgorithmicOracle Can't get enough? Stay tuned to read Courtenay Turner's upcoming, in-depth Substack article The Algorithmic Oracle for a comprehensive breakdown of every mechanism, case study, and strategy to defend your cognitive sovereignty ★Courtenay's Substack Article:https://courtenayturner.substack.com/p/the-algorithmic-oracle .____________________________________________________________________This Show Is Only Possible With The Support Of Viewers Like You!____________________________________________________________________ ▶ GET On-Demand Access for Courtenay's Cognitive Liberty Conference Cognitive liberty Conference ----------------------------------------- ▶ Follow & Connect with Courtenay: CourtenayTurner.com Linktree ▶ Support my work & Affiliate links: Buy Me A Coffee GiveSendGo Venmo Cash APP RNC Store Vitamin B-17! Far Infrared Saunas...Promo: COURTZ Red Light Therapy...Promo: COURTZ Stem Cell Activation Gold Gate Capital Free Satellite Phone...Promo: COURTZ MagicDichol Goldbacks=Real Currency! Promo:COURTZ Honey Colony Health&More...Promo:COURTZ ▶ Follow Courtenay on Social Media: Twitter TruthSocial Instagram Telegram Facebook Apple Podcasts Spotify Amazon Music Rumble YouTube —————————————————▶ Disclaimer: this is intended to be inspiration & entertainment. We aim to inform, inspire & empower. Guest opinions/ statements are not a reflection of the host or podcast. Please note these are conversational dialogues. All statements and opinions are not necessarily meant to be taken as fact. Please do your own research. Thanks for watching!—————————————————©2025 All Rights Reserved Share Courtenay's Substack Learn more about your ad choices. Visit megaphone.fm/adchoices

Recently, the risks about Artificial Intelligence and the need for ‘alignment' have been flooding our cultural discourse – with Artificial Super Intelligence acting as both the most promising goal and most pressing threat. But amid the moral debate, there's been surprisingly little attention paid to a basic question: do we even have the technical capability to guide where any of this is headed? And if not, should we slow the pace of innovation until we better understand how these complex systems actually work? In this episode, Nate is joined by Artificial Intelligence developer and researcher, Connor Leahy, to discuss the rapid advancements in AI, the potential risks associated with its development, and the challenges of controlling these technologies as they evolve. Connor also explains the phenomenon of what he calls ‘algorithmic cancer' – AI generated content that crowds out true human creations, propelled by algorithms that can't tell the difference. Together, they unpack the implications of AI acceleration, from widespread job disruption and energy-intensive computing to the concentration of wealth and power to tech companies.  What kinds of policy and regulatory approaches could help slow down AI's acceleration in order to create safer development pathways? Is there a world where AI becomes a tool to aid human work and creativity, rather than replacing it? And how do these AI risks connect to the deeper cultural conversation about technology's impacts on mental health, meaning, and societal well-being? (Conversation recorded on May 21st, 2025)     About Connor Leahy: Connor Leahy is the founder and CEO of Conjecture, which works on aligning artificial intelligence systems by building infrastructure that allows for the creation of scalable, auditable, and controllable AI. Previously, he co-founded EleutherAI, which was one of the earliest and most successful open-source Large Language Model communities, as well as a home for early discussions on the risks of those same advanced AI systems. Prior to that, Connor worked as an AI researcher and engineer for Aleph Alpha GmbH.   Show Notes and More Watch this video episode on YouTube   Want to learn the broad overview of The Great Simplification in 30 minutes? Watch our Animated Movie.   ---   Support The Institute for the Study of Energy and Our Future Join our Substack newsletter Join our Discord channel and connect with other listeners  

This content has been developed for healthcare professionals only. Patients who seek health information should consult with their physician or relevant patient advocacy groups.For the full presentation, downloadable Practice Aids, slides, and complete CME/MOC/NCPD/AAPA/IPCE information, and to apply for credit, please visit us at PeerView.com/RAX865. CME/MOC/NCPD/AAPA/IPCE credit will be available until June 20, 2026.Navigating Multifactorial Clinical Decisions in HR+ EBC and MBC: A Case-Based, Algorithmic Guide In support of improving patient care, this activity has been planned and implemented by PVI, PeerView Institute for Medical Education, and Living Beyond Breast Cancer. PVI, PeerView Institute for Medical Education, is jointly accredited by the Accreditation Council for Continuing Medical Education (ACCME), the Accreditation Council for Pharmacy Education (ACPE), and the American Nurses Credentialing Center (ANCC), to provide continuing education for the healthcare team.SupportThis activity is supported by educational grants from Genentech, a member of the Roche Group, Lilly, and Stemline Therapeutics, a Menarini Company Group.Disclosure information is available at the beginning of the video presentation.

This content has been developed for healthcare professionals only. Patients who seek health information should consult with their physician or relevant patient advocacy groups.For the full presentation, downloadable Practice Aids, slides, and complete CME/MOC/NCPD/AAPA/IPCE information, and to apply for credit, please visit us at PeerView.com/RAX865. CME/MOC/NCPD/AAPA/IPCE credit will be available until June 20, 2026.Navigating Multifactorial Clinical Decisions in HR+ EBC and MBC: A Case-Based, Algorithmic Guide In support of improving patient care, this activity has been planned and implemented by PVI, PeerView Institute for Medical Education, and Living Beyond Breast Cancer. PVI, PeerView Institute for Medical Education, is jointly accredited by the Accreditation Council for Continuing Medical Education (ACCME), the Accreditation Council for Pharmacy Education (ACPE), and the American Nurses Credentialing Center (ANCC), to provide continuing education for the healthcare team.SupportThis activity is supported by educational grants from Genentech, a member of the Roche Group, Lilly, and Stemline Therapeutics, a Menarini Company Group.Disclosure information is available at the beginning of the video presentation.

This content has been developed for healthcare professionals only. Patients who seek health information should consult with their physician or relevant patient advocacy groups.For the full presentation, downloadable Practice Aids, slides, and complete CME/MOC/NCPD/AAPA/IPCE information, and to apply for credit, please visit us at PeerView.com/RAX865. CME/MOC/NCPD/AAPA/IPCE credit will be available until June 20, 2026.Navigating Multifactorial Clinical Decisions in HR+ EBC and MBC: A Case-Based, Algorithmic Guide In support of improving patient care, this activity has been planned and implemented by PVI, PeerView Institute for Medical Education, and Living Beyond Breast Cancer. PVI, PeerView Institute for Medical Education, is jointly accredited by the Accreditation Council for Continuing Medical Education (ACCME), the Accreditation Council for Pharmacy Education (ACPE), and the American Nurses Credentialing Center (ANCC), to provide continuing education for the healthcare team.SupportThis activity is supported by educational grants from Genentech, a member of the Roche Group, Lilly, and Stemline Therapeutics, a Menarini Company Group.Disclosure information is available at the beginning of the video presentation.

On this episode of the Scouting For Growth podcast, Sabine VdL talks to James Birch, Director of Strategic Technology Solutions at Ki Insurance—the first fully algorithmic syndicate in the history of Lloyd’s of London. In today’s conversation, we’ll explore: James’s journey from VC to algorithmic-underwriting pioneer, what a “director of strategic technology solutions” actually does day-to-day inside a digital syndicate, the partnerships, cloud architecture and data streams that let Ki quote in seconds, the biggest trends shaping Algorithmic Underwriting 2.0—and what they mean for brokers, capacity partners and the wider market, and practical take-aways for anyone who wants to thrive as the next wave of automation rolls through speciality insurance KEY TAKEAWAYS Ki is a growth stage business, not an incumbent, we’re trying to fight our way to win business and ultimately to grow. We have to do something different from everyone else to try to position ourselves differently and find competitive advantage where we can. That’s something I’ve carried over from the VC space. We started out looking at what the digital model of the traditional model, where was the toil in the value chain and the broker’s work plan process and how can we simplifying it and make it more efficient using digital capabilities that we saw in the VC space, in FinTech and other financial service industries. Lloyds of London is a heavily regulated market so we need to abide by any of the regulations that any carrier or underwriter do in that market. Our approach from day 1 was to engage with the regulator early, explain what we’re trying to do, be transparent, open and honest about where the gaps are if we’d not got to a certain level of maturity, don’t overstate the algorithm. We take regulation very seriously, which has helped because Lloyds has been highly supportive of us and our growth and have allowed us to grow as the market has grown. The main cost-save of the algorithmic underwriting for brokers is they don’t have to have loads of brokers running around the Lloyds of London building to find 2% on a slip or something, the broker negotiates with the lead underwriter, come onto the Ki platform for the follow, and then spend their time on new business and client opportunities. BEST MOMENTS ‘Any business should evolve as the market evolves and the marketing dynamics changes, you’ve got to react to those and be thinking 2-5 years ahead.’ ‘We still trip up on ourselves, even now, because we sometimes try to over-complicate things.’ ‘Speak to the customer, hear their problems, understand what’s not working for them, try to make it a simple transaction for them, and then they’ll use your products.’ ‘I’m a big advocate of the partner model because if you get 2, 3, or 4 like-minded companies as partners you can build something great together because you’re all strategically aligned.’ ABOUT THE GUEST James Birch is the Director of Strategic Technology Solutions at Ki Insurance, the market-leading algorithmic syndicate that’s redefining how Lloyd’s of London does business. Blending a venture-capital mindset with hands-on operating rigor, James has spent the past decade helping innovative companies move from bright idea to breakout scale. Passionate about demystifying insurance for the next generation, James is a sought-after speaker on topics such as data-driven risk selection, the future of algorithmic capacity and what it really takes to scale a regulated tech business. Whether mentoring founders or road-testing the latest ML models with his engineers, he’s driven by one simple goal: use technology to make risk transfer faster, fairer and radically more efficient. LinkedIn ABOUT THE HOST Sabine is a corporate strategist turned entrepreneur. She is the CEO and Managing Partner of Alchemy Crew a venture lab that accelerates the curation, validation, & commercialization of new tech business models. Sabine is renowned within the insurance sector for building some of the most renowned tech startup accelerators around the world working with over 30 corporate insurers, accelerated over 100 startup ventures. Sabine is the co-editor of the bestseller The INSURTECH Book, a top 50 Women in Tech, a FinTech and InsurTech Influencer, an investor & multi-award winner. Twitter LinkedIn Instagram Facebook TikTok Email Website This Podcast has been brought to you by Disruptive Media. https://disruptivemedia.co.uk/

In this special Pride Month episode of Tech It to the Limit, co-hosts Sarah Harper and Elliott Wilson dive into LGBTQ+ health equity, inclusive tech, and leading authentically in healthcare. They're joined by Jason Bellett, Co-Founder and Chief Business Officer at Eko Health, whose intelligent stethoscope is transforming how providers detect heart disease. Jason opens up about his journey as an openly gay founder, the intersection of innovation and equity, and the urgent need for inclusive leadership.Key TakeawaysLGBTQ+ healthcare has come a long way—but the fight for equity and access continues.Eko Health's AI-powered stethoscope enables early heart disease detection through FDA-cleared algorithms and inclusive design.Algorithmic equity matters: representative datasets and diverse health partners are key to reducing bias.Authentic leadership in healthcare requires visibility and courage, especially in today's climate.In the face of policy rollbacks, private sector leaders must step up to build inclusive tech and equitable systems.In this episode:[00:00:00] Pride Month kickoff + queer health visibility[00:01:25] “Holz Check” LGBTQ+ healthcare rights timeline[00:08:27] 10+ health tech companies advancing queer care[00:12:28] Interview with Jason Bellett[00:15:30] What is an intelligent stethoscope?[00:20:15] Equity in AI + reducing algorithmic bias[00:25:35] Eko's role in smart hospitals and virtual care[00:27:46] What Jason wishes he knew 10 years ago[00:31:05] Leading authentically as a gay founder[00:34:14] Advice for LGBTQ+ health tech professionals[00:38:45] Call to action for DEI in healthcare[00:42:22] Spicy Nuggets: Buzzwords, pride, and cootiesResources and LinksJason BellettLinkedIn Eko HealthPride Month SpotlightsFolks Health Plume HealthQueerDocOutCare HealthHoward Brown HealthMazzoni CenterFenway Health Euphoria AppsMyLabBoxFor ThemEquality MD

Monday June 2, 2025 Colorado's Democratic Governor Vetoes Bill Targeting Algorithmic Rent-Setting

Nate Bosshard is a visionary brand builder and entrepreneur who's helped shape iconic companies like Burton, Tonal, and hims & hers through a rare blend of taste, intuition, and strategic insight.Join us as we explore Nate's perspective on what makes a brand truly resonate, from crafting emotional worlds to resisting the pull of algorithmic influence. He shares hard-earned lessons on launching category-defining products, building brands that move culture, & why taste might just be your most valuable asset.

For decades, we've thought the control center of life lies in DNA. But a new scientific framework is emerging that challenges that idea, and suggests that vast portions of the genome are immaterial and lie outside the physical world. Today, physicist Dr. Brian Miller shares his perspective on the cutting-edge, potentially revolutionary research of mathematical biologist Dr. Richard Sternberg on the immaterial aspects of the genome. In this exchange, Dr. Miller shares several examples of the immaterial nature of life. These ideas point towards the earliest stages of the next great scientific revolution and have significant implications for the intelligent design debate. Source

We asked and it came!.... Two years or so later. But that's okay it's here and that's what matters. Finally Bandcamp has introduced playlists onto it's platform whereby users can curate and share their own mixtapes with each other, all in the name of community and real, user-based support. We're running through the press release for this development and seeing what it means for the Independent scene. Check out 'First Land Encounter' here: https://fieldsoffew.bandcamp.com/album/first-land-encounterHelp Support the Channel:Patreon: www.patreon.com/audionauticThanks to our Patrons who support what we do:Audionauts: Abby, Bendu, David Svrjcek, Josh Wittman, Paul Ledbrook, Coraline Ada Ehmke, Jaycee Lewis and Stephen Setzepfandt, Lars Haur - Audionaut ProducerJonathan Goode - Audionaut ProducerJoin the conversation:

This week on the podcast, we got a lot to discuss, lets see what we can get through! Rideshare Rodeo Brand & Podcast: https://linktr.ee/RideshareRodeo 

Send us a textToday's guest is Phanish Puranam, INSEAD Professor and author of Re-Humanize: How to Build Human-Centric Organizations in the Age of Algorithms. He's the perfect guest to discuss how AI is transforming—not just tasks—but the very DNA of how organizations operate.Here's what you'll learn:Why the future of AI in business isn't about job replacement, but organizational redesignHow AI is turning from tool to teammate, and what that means for leadership and decision-makingWhat "bionic organizations" are—and how companies can blend algorithms and humans without crushing autonomy or purposeWhy algorithmic bureaucracy might quietly become the most dangerous workplace trendHow poor implementation of AI threatens to destroy learning cultures and employee agencyThe four pitfalls of AI adoption most companies fall into—and how to avoid themA framework for designing AI systems that enhance human competence, not erode itWhy employees—not just executives—should shape the future of AI-powered workAbout our guest: Phanish Puranam is the Roland Berger Chaired Professor of Strategy & Organization Design at INSEAD, where he also leads the Organizations & Algorithms research initiative. With a career focused on the science of how organizations work—and how they change—he brings a deeply research-backed, globally informed perspective on the next phase of AI's workplace evolution.

More and more people have been saying that we might have AGI (artificial general intelligence) before 2030. Is that really plausible? This article by Benjamin Todd looks into the cases for and against, and summarises the key things you need to know to understand the debate. You can see all the images and many footnotes in the original article on the 80,000 Hours website.In a nutshell:Four key factors are driving AI progress: larger base models, teaching models to reason, increasing models' thinking time, and building agent scaffolding for multi-step tasks. These are underpinned by increasing computational power to run and train AI systems, as well as increasing human capital going into algorithmic research.All of these drivers are set to continue until 2028 and perhaps until 2032.This means we should expect major further gains in AI performance. We don't know how large they'll be, but extrapolating recent trends on benchmarks suggests we'll reach systems with beyond-human performance in coding and scientific reasoning, and that can autonomously complete multi-week projects.Whether we call these systems 'AGI' or not, they could be sufficient to enable AI research itself, robotics, the technology industry, and scientific research to accelerate — leading to transformative impacts.Alternatively, AI might fail to overcome issues with ill-defined, high-context work over long time horizons and remain a tool (even if much improved compared to today).Increasing AI performance requires exponential growth in investment and the research workforce. At current rates, we will likely start to reach bottlenecks around 2030. Simplifying a bit, that means we'll likely either reach AGI by around 2030 or see progress slow significantly. Hybrid scenarios are also possible, but the next five years seem especially crucial.Chapters:Introduction (00:00:00)The case for AGI by 2030 (00:00:33)The article in a nutshell (00:04:04)Section 1: What's driven recent AI progress? (00:05:46)How we got here: the deep learning era (00:05:52)Where are we now: the four key drivers (00:07:45)Driver 1: Scaling pretraining (00:08:57)Algorithmic efficiency (00:12:14)How much further can pretraining scale? (00:14:22)Driver 2: Training the models to reason (00:16:15)How far can scaling reasoning continue? (00:22:06)Driver 3: Increasing how long models think (00:25:01)Driver 4: Building better agents (00:28:00)How far can agent improvements continue? (00:33:40)Section 2: How good will AI become by 2030? (00:35:59)Trend extrapolation of AI capabilities (00:37:42)What jobs would these systems help with? (00:39:59)Software engineering (00:40:50)Scientific research (00:42:13)AI research (00:43:21)What's the case against this? (00:44:30)Additional resources on the sceptical view (00:49:18)When do the 'experts' expect AGI? (00:49:50)Section 3: Why the next 5 years are crucial (00:51:06)Bottlenecks around 2030 (00:52:10)Two potential futures for AI (00:56:02)Conclusion (00:58:05)Thanks for listening (00:59:27)Audio engineering: Dominic ArmstrongMusic: Ben Cordell

Let us know your thoughts. Send us a Text Message. Follow me to see #HeadsTalk Podcast Audiograms every Monday on LinkedInEpisode Title: