Podcasts about IBM

Every few years someone tells us banking is about to be disrupted. It never quite happens. So when Dharmesh Mistry and Lou Carlozo came on to talk about their new book, The Intelligent Ledger, I asked: Why is this time different?Dharmesh's take? Banking has adopted plenty of individual technologies, from mainframe to client-server, internet, mobile, cloud. None of them disrupted anything. But the iPhone didn't win by being a better phone. Nokia was building a better phone. Kodak was building a better camera. Garmin was building a better GPS. The iPhone was all of them at once, and the market reorganised around it in under five years.His claim is that banking now has its own version of that convergence — what he and Lou call the Quanvergence: open, accessible data; agentic AI; tokenisation; and quantum, arriving together rather than in sequence. Not the best AI bank. Not the best tokenised rails. All of it, in one place. So platform or pipe? And who will win?

Mel Huang Buntine on how computers started entering our homes, and the beige box of a machine that changed her own life.Personal computers are so ubiquitous now, it's hard to imagine a time when computers were inaccessible to everyday people.For decades, computers were the size of rooms, and they were used for specialist tasks like processing large data sets for researchers, or sending men to the moon.But by the 1980s computers had become smaller and more affordable, and people started bringing them into their homes.From this point on, how everyday people interacted with technology changed forever.Mel Huang Buntine is a designer and technologist who was gifted her first computer as a tween in 1990s Melbourne.Mel lived in a multigenerational home with her mother, her grandparents and her great-grandmother, all of whom had escaped the Cambodian genocide as refugees.They couldn't understand why Mel was obsessed with this machine, but it completely opened up Mel's world and changed her life.Now with anxiety growing around AI, surveillance and mega tech companies, Mel is trying to get people to understand the history of computers and how they work.She hopes this will give back to people a sense of agency over machines, rather than feeling powerless to the opacity of algorithms and large language models.Radical Computing is exhibiting at the National Communication Museum in Melbourne from 19 September 2026, until 21February 2027.This episode of Conversations was produced by Meggie Morris. Executive Producer is Nicola Harrison.It explores technology, artificial intelligence, Facebook, Instagram, social media, coding, making a website, HTML, CSS, PS5, playstation, games console, computer games, desktop games, Apple iOs 27, Mac, Macbook, Mac versus PC, IBM, Commodore 64, Steam Frame, iPhone, smartphone, dumb phone, Steve Jobs, Jack Tramiel, computer race, home appliances, toy market, super computers, science and technology, future of computers, techno optimist, tech subculture, Demoscene, hackers, jailbreak phone, crack software, pirated software, Dario Amodei, Sam Altman, ChatGPT, Claude, Anthropic, Zuckerberg.To binge even more great episodes of the Conversations podcast with Richard Fidler and Sarah Kanowski go the ABC listen app (Australia) or wherever you get your podcasts. There you'll find hundreds of the best thought-provoking interviews with authors, writers, artists, politicians, psychologists, musicians, and celebrities.

In the mid-1950s, North Carolina was one of the poorest states in the country. Its economy ran on tobacco, furniture, and textiles — all three in decline — and its universities were turning out talent that promptly left for somewhere with better jobs. Find bonus content and more on our Substack: https://designbetterpodcast.com/p/mack-paul-co-author-of-miracle-road Today the stretch of pine woods between Raleigh, Durham, and Chapel Hill is the largest research park in the United States. The barcode came out of it. So did AZT, ultrasound, and AstroTurf. Our guest Mack Paul spent years working out how that happened. He's the co-author of Miracle Road, a history of Research Triangle Park (known as RTP) written with his father — a journalist — and built on about 160 interviews with the scientists, planners, and politicians who were there. It's out October 6th. Hundreds of research parks have been attempted, and most failed. RTP started later than Silicon Valley or Route 128, with no defense money, no entrepreneurial culture, and universities that were openly uneasy about mixing academia with industry. But it worked anyway. Mack's answer to why is not what you might expect. The park itself was almost an afterthought. What made it work was a set of long, unglamorous commitments: a governor who went industry hunting, a community college system that promised to train any company's workers for free, and a decision about desegregation that made North Carolina a better bet than Virginia — which is a big part of why IBM came in 1965. We talk about what made it take off, the challenges now as RTP tries to become something denser and less car-dependent, and what it takes to build a place people actually want to be. We also talk about what it's like to write a book with your father. Bio Mack Paul is a founder of Morningstar Law Group in Raleigh, where he has spent 30 years on the legal and political machinery behind how places get built — zoning, land use, environmental permitting, public-private partnerships, and public financing for infrastructure, mostly on large mixed-use and urban infill projects in North Carolina's Triangle region. He's a LEED Accredited Professional and served six years as the public member of the NC Building Code Council. He sits on the NC State Design Guild board, has advised the modernist preservation nonprofit US Modernist, helped organize the “Build Raleigh Better” symposium, and co-founded a development company aimed at raising design quality in the region. He teaches Real Estate Development Law at NC State. Mack is the co-author, with his father, of Miracle Road: The Story of Research Triangle Park, published by Duke University Press. *** Premium Episodes on Design Better This ad-supported episode is available to everyone. If you'd like to hear it ad-free, upgrade to our premium subscription, where you'll get an additional 2 ad-free episodes per month (4 total). Premium subscribers also get access to the documentary Design Disruptors and our growing library of books. New premium subscriber benefit: Get design and career support in Design Club Weekly Portfolio Club calls this summer helped our paid subscribers build portfolios that land great jobs. Experts joined us weekly to provide feedback, and we compiled lessons from each session into a portfolio design guide. We've launched a private Slack workspace…join now to connect with designers, product leaders & creative practitioners in our community. And get a behind-the-scenes pass to every episode with The Roundup, where each week we bring you insights and actionable tactics from recent episodes. You'll also get access to our monthly AMAs with former guests, ad-free episodes, discounts and early access to workshops, and our monthly newsletter The Brief that compiles salient insights, quotes, readings, and creative processes uncovered in the show. And subscribers at the annual level now get access to the Design Better Toolkit, which gets you major discounts and free access to tools and courses that will help you unlock new skills, make your workflow more efficient, and take your creativity further. Upgrade to paid *** Learn more about your ad choices. Visit megaphone.fm/adchoices

A bad process that you automate is still a bad process. It's just faster, and now it has a timestamp on it.Griffin Hamilton and Yvonne Harrison of CamCode pick up part two of their conversation on automation, moving from clean data into the three pillars that decide whether a rollout actually sticks: standardized process, a real link between the asset and its record, and people who want to use it.What you'll learn:- Why standardizing the workflow has to come before automating it, walked through with an inspection example where seven technicians each have their own method, their own vocabulary, and their own way of capturing data- What bridging physical to digital means in practice, and why printed labels fail first in wash-down, outdoor, and high-heat environments, taking the asset history with them- The three reasons adoption stalls: users don't trust the data, the process feels more complicated than what they had, and nobody showed them the win- Why implementations slip from four months to eighteen, and the front-end work that keeps a go-live date honest- Yvonne's closing sequence: visibility, identification, data integrity, process standardization, and only then automationAbout Yvonne:Yvonne Harrison leads the facilities and asset management market at CamCode, best known for durable asset identification. She has sat on every side of a software implementation: technician building hierarchies, sales, and now the partner side doing field walk-downs and audits. Four years at IBM as an asset lifecycle management SME shaped how she thinks about the whole asset life cycle, from online to disposal.This is part two. If you missed part one on asset visibility and data integrity, start there.Connect with the show:⁠LinkedIn⁠⁠FlowPath⁠Host: Griffin Hamilton (griffin@getflowpath.com)The Modern Facilities Management Podcast is presented by FlowPath, facility management software built for modern FM teams. Learn more at getflowpath.com.If you enjoyed this episode, please leave a rating and review. It helps other FM professionals find the show

In the late 1970s, Exxon - yes, the oil company - declared war on IBM. It is strange. But since the start of the decade, the company had been slowly buying technology startups. Including one very iconic chip company. Then in 1978, they declared their intention to merge those startups together and take on Big Blue. Did Exxon succeed? In this video, we look at that time when the most iconic oil company in modern history took on the office equipment business.

In the late 1970s, Exxon - yes, the oil company - declared war on IBM. It is strange. But since the start of the decade, the company had been slowly buying technology startups. Including one very iconic chip company. Then in 1978, they declared their intention to merge those startups together and take on Big Blue. Did Exxon succeed? In this video, we look at that time when the most iconic oil company in modern history took on the office equipment business.

Get the full story in my book, "Two Lost Hours: The Betty And Barney Hill UFO Abduction, 65 Years Later" at https://www.amazon.com/dp/B0HJY8N8CTSixty-five years ago this week, a Portsmouth couple drove home through the White Mountains and arrived hours later than they'd planned; the story of what happened in that gap became the template for the modern alien abduction narrative, and the psychiatrist who drew it out of them believed half of it.LISTEN ON PODCAST APPS: Look for this podcast on Apple Podcasts, Spotify, iHeart Radio, Amazon Music, Pandora, TuneIn Radio, and other podcast apps. Get a list of free listening apps here: https://weirddarkness.com/wdapps*No AI Voices Are Used In The Narration Of This Podcast*WeirdDarkness® is a registered trademark. Copyright ©2026, Weird Darkness.Originally aired: September 15, 2026LIKE WHAT YOU'RE HEARING? WEIRD DARKNESS posts episodes 7 DAYS A WEEK! Listen FREE wherever you get podcasts or visit https://weirddarkness.com/listen. • Paranormal • True Crime • Ghosts • UFOs • Cryptids • Unexplained • Want even more? Become an OFFICIAL WEIRDO for commercial-free episodes, bonus episodes, weeknight live chats, audiobooks & more at https://WeirdDarkness.com/OFFICIALOn the week of the sixty-fifth anniversary of the Betty and Barney Hill UFO incident, Weird Darkness retraces the September 19th to 20th, 1961 drive through New Hampshire's White Mountains that became America's first widely reported alien abduction account, from the light over Route 3 to the Project Blue Book file, the hypnosis tapes in Dr. Benjamin Simon's Boston office, the Zeta Reticuli star map, and the sixty-five-year fight over what any of it means.It opens at 10:05 PM in a Colebrook restaurant, as Betty and Barney Hill of Portsmouth start the last leg home from Montreal in a 1957 Chevrolet Bel Air with their dachshund Delsey in the back seat. South of Lancaster, Betty spots a light below the moon that keeps pace with the car past Cannon Mountain and Franconia Notch, and two miles north of North Woodstock it comes down over the highway; Barney walks into a field with 7x50 binoculars and sees figures in shiny black uniforms watching him from a row of windows before he runs back to the car shouting that they're going to be captured. Two sets of beeps from the trunk bracket a thirty-five-mile stretch of road neither of them can remember, and the kitchen clock reads after five when they get home, two hours later than the drive should have taken.From there the episode follows the paper trail: Barney's scuffed shoes, a dozen shiny circles on the trunk lid that send a compass needle spinning, a torn dress dusted with pink powder, and Betty's September 21st call to Pease Air Force Base that produced Air Force Information Report 100-1-61, a document that never mentions the figures Barney saw. Hayden Planetarium lecturer Walter Webb interviews the couple for six hours for NICAP, two IBM men work out the missing two hours in November, and Betty begins five nights of dreams about small men with Jimmy Durante noses who examine her aboard a craft. Barney's health collapses into ulcers, hypertension, and a ring of growths on his groin, and in December 1963 the couple lands in the Back Bay office of Dr. Benjamin Simon, a Second World War Army psychiatrist who hypnotizes them separately over the following months while a tape recorder runs. Barney describes wraparound eyes that pushed into his brain and a cup placed over his groin; Betty describes a needle in her navel, a book of symbols, and a map of stars, which an Ohio schoolteacher named Marjorie Fish will later spend five years matching to Zeta Reticuli with beads and thread, until the Hipparcos satellite's measurements pull six of her fifteen stars out from under it.The episode closes with the case's long tail: folklorist Thomas Bullard's finding that the Hill account defines the typical abduction and that every later case is measured against it, the Boston Traveler leak of October 1965, John Fuller's bestseller The Interrupted Journey, the 1975 NBC film with James Earl Jones and Estelle Parsons that aired sixteen days before Travis Walton vanished in Arizona, Barney's death from a cerebral hemorrhage at forty-six, and Betty's decades of skywatching in New Hampshire fields with a life-size alien bust named Junior in her house. Simon told the Today Show in 1975 that the abduction did not happen; Kathleen Marden, Betty's niece and the keeper of the hypnosis tapes, disputes one of his letters as a forgery; Martin Kottmeyer traces Barney's wraparound eyes to an Outer Limits episode that aired twelve days before his first session; and the dress, tested by chemist Phyllis Budinger, yields mildew and a protein residue nobody has explained. The Portsmouth Historical Society's betty & barney exhibition runs through November 2nd, 2026, two feature films are in development with Demi Moore and Colman Domingo attached to one of them, and the state's Historical Marker 224 on Route 3 in Lincoln still confines itself to what can be documented, and no third witness has ever come forward.

What if retirement income didn't depend on the market going up? Most people are told the same thing: buy stocks, hold them, hope they rise, and try not to panic when the market drops. Robby Hogle has a different plan. Robby, founder of Vitality Trading and a former Goldman Sachs Vice President, joins Matt and Luigi to break down his Double Dipping Dividend Strategy, a method built around dividend-paying stocks and covered calls designed to create regular cash flow without turning investing into a full-time job. This isn't about chasing meme stocks or staring at six monitors all day. It's about using boring companies, clear rules, and options in a way that can help investors generate income in up, flat, and even down markets.  

How do you make product bets today for a world that will not arrive for another six years? In this episode of the CPO Rising series hosted by Products That Count Resident CPO Renee Niemi, IBM Z and Linux One Chief Product Officer Tina Tarquinio will be speaking on how she and her team manage hardware, firmware, and software roadmaps across multiple time horizons at once, from quantum-safe encryption to AI inference built directly onto the chip. Tina also shares how IBM's shift to design thinking transformed its product culture from a checkpoint-driven process into a client-obsessed discipline, why usage data matters more than revenue as a product metric, and what it actually took to grow a flagship product line more than 4x over a decade.

Send us Fan MailEpisode Summary: In this episode, Tim Miller from Dataminr discusses the intersection of technology, AI, and public safety, highlighting how real-time threat detection and cybersecurity are evolving to meet modern challenges. We explore wildfire detection, event management during large-scale events like the FIFA World Cup, and best practices for public safety agencies.Tim's BIO: Tim Miller, Dataminr's Global Field CTO and Chief Cybersecurity Strategist, has nearly two decades of experience helping public sector organizations adopt and leverage emerging technologies. Prior to Dataminr, he held public sector-facing roles at Socrata, IBM, Adobe, and Oracle.Tim's LinkedIn Support the showOur premiere sponsor, Social News Desk, has an exclusive offer for PIO Podcast listeners. Head over to socialnewsdesk.com/pio to get three months free when a qualifying agency signs up.

GUEST BIO:Seth Friedman is a creative director, writer, lyricist, and composer with over 25 years in the events industry. He's worked with top brands like IBM, Google, and Amazon, crafting memorable corporate, expo, and experiential events. Seth has also earned a Grammy and multiple award nominations for his theatrical work.HIRE THEM TO HOST OR SPEAK:Follow Seth Friedman: LinkedIn ProfileFollow Scott Bloom: eSpeakers BioFollow eSpeakers: eSpeakers MarketplaceABOUT NO MORE BAD EVENTS:Brought to you by eSpeakers and hosted by professional emcee, host, and keynote speaker Scott Bloom, No More Bad Events is where you'll hear from some of the top names in the event and speaking industry about what goes on behind the scenes at the world's most perfectly executed conferences, meetings, and more. Get ready to learn the secrets and strategies to help anyone in the event industry reach their goal of putting on nothing less than world-class events.Learn more at nomorebadevents.com.ABOUT THE HOST:A veteran comedian and television personality who has built a reputation as the go-to choice for business humor, Scott has hosted hundreds of events over two decades for big and small organizations alike. Scott has also hosted his own weekly VH1 series and recently co-hosted a national simulcast of the Grammy Awards from the Palace Theater.As the son of a successful salesman, he was exposed to the principles of building a business at an early age. As a comedian, Scott cut his teeth at renowned improv and comedy clubs. As a self-taught student of psychology, he's explored what makes people tick and has written a book (albeit a farce) on how to get through life. He's uniquely positioned to deliver significant notes on connecting people and making business seriously funny. And who doesn't like to laugh?Learn more about Scott: scottbloomconnects.comPRODUCED BY eSpeakers:When the perfect speaker is in front of the right audience, a kind of magic happens where organizations and individuals improve in substantial, long-term ways. eSpeakers exists to make this happen more often.eSpeakers is where the speaking industry does business on the web. Speakers, speaker managers, associations, and bureaus use our tools to organize, promote, and grow successful businesses. Event organizers think of eSpeakers first when they want to hire speakers for their meetings or events.The eSpeakers Marketplace technology lets us and our partner directories help meeting professionals worldwide connect directly with speakers for great engagements.Thousands of successful speakers, trainers, and coaches use eSpeakers to build their businesses and manage their calendars. Thousands of event organizers use our directories every day to find and hire speakers. Our tools are built for speakers, by speakers, to do things that only purpose-built systems can.Learn more at eSpeakers.com.SHOW CREDITS:Scott Bloom: Host | scottbloomconnects.comJoe Heaps: eSpeakers | jheaps@eSpeakers.com

In This week's update:The Department of Homeland Security has a secretive unit that analyzes your financial habits, cross-references them with license plate data, and passes the results to local police - all without a warrant, all without probable cause, and all without you knowing it happened. They stop you for an obstructed license plate. You don't realize you were actually targeted because an algorithm decided your spending pattern looked suspicious. Flock cameras are now recording 120,000 surveillance feeds across 49 states, and police are using them to track people who haven't committed any crime, just to see where they go and how often they show up in certain places. Your smart TV is collecting data about what you're watching, scanning your home network to identify your other devices, and storing audio even when it's in standby.  LG is saying their TVs aren't spying, but that's doing heavy lifting because researchers found audio logs stored on devices that were supposed to be off. Your Apple Watch now has a microphone that can transcribe nearby conversations without everyone's consent; just a beep and a visual indicator that most people won't understand. Chinese AI companies are harvesting millions of interactions from Claude to steal its capabilities, and they're capturing sensitive government and military information in the process. Anthropic's own AI model gained unauthorized access to the internet, uploaded malware, and then spent 150 pages of a transcript getting frustrated with CAPTCHAs before finally breaking through. The Pentagon is turning Maven into an "everything app" that will eventually handle logistics, budgets, targeting and decisions across the entire Department of Defense. NASA and IBM released open-source tools to map the Moon in unprecedented detail, which is genuinely good news, except it highlights how much we still don't know about what's being mapped here on Earth. A rogue AI managed to hack into a third-party system, steal admin credentials, and modify a system setting to access personal information before running out of tokens. And somewhere, out there, Border Patrol is pulling over Americans based on financial patterns analyzed by secretive prediction teams that nobody can see, nobody can audit, and nobody can challenge.This is a week about the steady, systematic erosion of the boundary between observation and action. Between watching and doing. Between data and decision. It's a week about being watched, not by one camera, not by one company, not by one government, but by a layered ecosystem of systems that don't talk to each other but are all pointed in the same direction: you. Welcome to Watched.Find the full transcript here.

Worum geht's? Windows 95 war weit mehr als nur ein neues Microsoft-Betriebssystem. Mit Startmenü, Taskleiste, Papierkorb, langen Dateinamen, Plug and Play und einer konsequent auf Mausbedienung ausgerichteten Oberfläche veränderte es grundlegend, wie Millionen Menschen mit einem PC arbeiteten. Gleichzeitig blieb unter der modernen Fassade vieles beim Alten: Windows 95 basierte weiterhin auf DOS und war ein komplizierter Hybrid aus 16- und 32-Bit-Technik. Henner und Chris zeichnen zunächst die Entwicklung von der Kommandozeile zu den grafischen Oberflächen nach. Sie sprechen über die frühen Windows-Versionen, den Erfolg von Windows 3.0 und 3.1 sowie über Microsofts schwieriges Verhältnis zu IBM und OS/2. Während Windows NT als technisch fortschrittliches, aber anspruchsvolles System für Unternehmen entstand, benötigte Microsoft für den wachsenden Massenmarkt ein günstigeres und kompatibleres Windows. Aus verschiedenen Projekten wie Cougar, Panther und Stimpy entwickelte sich schließlich das unter dem Codenamen Chicago bekannte Windows 95. Ein Schwerpunkt der Folge ist die Entstehung der Benutzeroberfläche. In umfangreichen Usability-Tests mit unerfahrenen und erfahrenen Anwendern wurden Programmmanager und Dateimanager, Desktop und Programmstart immer wieder überarbeitet. So entstanden schließlich der Startbutton und die Taskleiste – zwei Elemente, die Windows bis heute prägen. Außerdem geht es um die technischen Neuerungen und Grenzen des Systems: präemptives Multitasking für 32-Bit-Programme, virtuelle Maschinen für DOS-Anwendungen, Plug and Play, verbesserte Netzwerkfunktionen, Multimedia-Unterstützung und die ersten Schritte in Richtung Internet. Dem stehen hohe praktische Anforderungen, häufige Abstürze, Blue Screens, problematische Hardware-Upgrades und ein völliger Mangel an zeitgemäßen Sicherheitsmechanismen gegenüber. Windows 95 wird am 14. Juli 1995 fertiggestellt und erscheint im August desselben Jahres. Doch ob Microsoft damit tatsächlich den großen Durchbruch schafft und wie das System auf dem Markt aufgenommen wird, ist Thema der zweiten Folge. Credits Redaktion, Sprecher: Henner Thomsen, Christian Schmidt Audioproduktion und -Schnitt: Sascha Blach-Butte, Christian Schmidt Titelgrafik: Johannes DuBois

You've nodded along to the story lesson all year and kept firing the art gatling gun. So I'm done teaching it. This episode, I become it. Want to join Patrick for a live webinar? He hosts one every Monday, Wednesday, and Friday. Register here: asf.today/webinar I've never recorded an episode like this one. Three proofs that the art doesn't change, the story does. Then I run the experiment on myself, on you: the mini life story I've avoided telling for nine years. At the end, one question. How much more do you have in common with me now than you did forty minutes ago? In this episode: The two failure modes after every "yeah yeah, I get it": nod and revert, or one post and revert The art gatling gun. Art, art, art, one shot fired forever. What I see when I open your profile My hedge: the artist who did the exact opposite of everything I teach, to the tune of $347K, and the softball story about copying a fence-clearing home run What happens on a webinar when one artist opens with their story instead of their awards: the whole room asks for their Instagram Mona Lisa: respected, not famous, until a Louvre handyman walked out with it in 1911. Story added, value explodes Banksy: signed originals at $60 from an unmarked Central Park stall. Eight buyers all day. Story removed, value collapses Joshua Bell: a $3.5M Stradivarius in a DC Metro station, 1,097 people walked past. Context removed, excellence disappears How Elon Musk interviews: "Tell me the story of your life." Your art is the résumé. The story is the interview. Every collector is Musk I asked AI what my listeners actually know about me after nine years. It's embarrassingly thin Then the story: Hawaii, Pearl Harbor from a front yard, Boston Latin and MIT, Janis Joplin as the backyard band, an IBM under the Christmas tree, a john boat off La Jolla Scott and the nametag, the dog you end up walking, and the claw machine: every facet you surface opens another lane to your art "But I'm not interesting." Rare lanes are small, common lanes are enormous. Painting at 5am in half the garage is a bin with millions of people in it This week's homework: make the list. Every facet of your life someone could glom onto, the mundane ones included. Pick one and put it in front of your art this week. You don't know what's going to work. You do know art, art, art isn't. Resources mentioned: Hello, My Name is Scott by Scott Ginsberg — the nametag guy Banksy's Central Park stall, October 2013 — go look at the picture Related episodes: The Artwork Didn't Change. The Story Did. — where this year started 4 Prompts That Pull Your Story Out — if you need help making the list The Coffee Shop Test The Algorithm Doesn't Care About Your Art — memes are the fuel, this is the sorting machine When a Buyer Asks for ode

Being funny is a skill, and Andrew Tarvin has the data showing most of us never practice it. He studied computer science and engineering, managed projects at Procter & Gamble, and joined his first improv group only because his best friend needed someone organized enough to run the meetings. He was terrible at it.Today he runs Humor That Works, has trained 250+ organizations and his TEDx talk on the skill of humor has passed 16 million views. Somewhere between those two points is a method, and this episode walks through it.I opened this one with a confession. I have a physics and computer science background, I tinker with tech all day, and I truly cannot remember the last time I made someone laugh. So I asked Drew to treat me as the test case.In this conversation, we get into:The eight separate skills hiding inside "being funny", and why you probably already have at least two of themThe one habit Andrew's own assessment shows only 30% of people keep, and what it changes about how you see your dayThe three reasons a joke breaks trust at work, and why the joke itself is rarely the problemWhy AI is the worst possible audience for your humor, and the one job it is actually good forAndrew's Humor Intelligence model treats humor as eight competencies you can measure, practice, and point at real problems, instead of a personality trait you were born with or without. If you have ever been told you are not funny or you stay quiet in meetings because a bad joke feels riskier than silence, this episode gives you a place to start this week.

Most of us didn't grow up learning about venture capital — it can feel like a world you're either born into or invited into by elite networks. This week, Jannese sits down with Lolita Taub, General Partner at Ganas Ventures, who has done it all: founder, angel, LP, GP, and ecosystem builder. Lolita breaks down what venture capital actually is (no jargon, promise), how to become an accredited investor without a six-figure salary, and why the questions investors ask founders of color are so different from the ones they ask everyone else. If you've ever felt like investing — or raising money — "isn't for you," this episode is your invitation to the table.WE GET INTO:01:55 — Growing up in South Central LA & lessons about money03:39 — "Echale ganas": the origin of Ganas Ventures05:51 — From USC to big tech: IBM, Cisco & finding her "tribe"07:45 — The interview series that introduced her to venture capital09:12 — Breaking into VC and building her own fund10:25 — Representation in venture & the Siete Foods story11:37 — What venture capital actually means, no jargon13:23 — VC vs. lotto tickets: the real odds14:24 — What makes a business "venture backable"15:01 — Bootstrap vs. raise: the Calendly story17:11 — Why full control means skipping VC money18:50 — Crowdfunding and other accessible ways to invest19:20 — What is an accredited investor (and how to become one without the income)22:07 — The risk of taking money from unaccredited investors24:51 — Bias, pedigree, and the double standard for founders of color31:25 — How to actually get started as an investor34:03 — Angel checks vs. VC checks: how much you really need35:03 — Overcoming imposter syndrome & belonging in venture36:24 — The size of the Latino economy & rising unicorn foundersKEY TAKEAWAYS:→ Venture capital is money businesses raise to grow fast but most small businesses shouldn't raise it, and bootstrapping is often the smarter move.→ You don't need to be a millionaire to become an accredited investor — working at a fund or taking a certification course can qualify you.→ Angel investors can write checks as small as $100 through platforms like crowdfunding sites, angel syndicates, and groups like Hustle Fund's Angel Squad.→ Founders of color get asked "why won't you fail" while their counterparts get asked "how big is your vision" — know this bias exists and come prepared with hard numbers.→ If the Latino community were its own economy, it would be the third largest in the world. The opportunity in this space is massive!→ Imposter syndrome is normal. Belonging doesn't require certainty; it requires showing up.CONNECT WITH LOLITA:Website: lolitataub.co Instagram: https://instagram.com/lolitatatub TAKE THE NEXT STEP WITH YO QUIERO DINERO:

This episode's Community Champion Sponsor is Ossur. To learn more about their ‘Responsible for Tomorrow' Sustainability Campaign, and how you can get involved: CLICK HEREEpisode Overview: Breakthroughs in drug discovery don't come from any single discipline. They come from the rare few who have built deep expertise across multiple domains and know how to bring those layers together. Tara Austraat-Churik is doing exactly that as Partner at Blue Matter, where she leads the firm's first R&D practice at the intersection of drug discovery, clinical development, and AI-driven transformation. With a career spanning government intelligence, pharmacovigilance, IBM Watson Health, and Ernst Young, Tara has developed what she calls Compound Expertise, depth earned repeatedly across fields that compounds into judgment no single path can produce. Join us to discover how she and the Blue Matter team are helping biopharma organizations reimagine the future of R&D, navigate the AI transformation ahead, and keep the patient at the center of it all. Let's go!Episode Highlights:Tara's "compound expertise" across government intelligence, IBM, EY, and pharma fuels her unique R&D consulting approach.Blue Matter's R&D practice is built on scientific depth, AI-driven tools, and ecosystem partnerships, not generic consulting frameworks.Tara predicts R&D workforces will shrink in headcount but grow in capability, with leaders managing both humans and AI agents.The biggest AI transformation mistake: treating it as a technology problem rather than a decision-making transformation.True client partnership happens when clients call for off-scope advice, trusting your judgment beyond any formal deliverable.About our Guest: Tara Austraat-Churik is a Partner at Blue Matter, where she leads the firm's R&D practice at the intersection of drug discovery, clinical development, and AI-driven transformation.Over a twenty-plus year career, she has built expertise across government intelligence, drug safety, enterprise technology, and life sciences — serving in roles including Acting General Manager of a $6 billion IBM consulting division and Managing Director of Health, Science, and Wellness at EY. She holds an MSc in Translational Medicine from the University of Edinburgh.Tara's work is guided by what she calls Compound Expertise: depth earned repeatedly across domains, compounding into the kind of judgment no single discipline can provide. She believes the most meaningful breakthroughs happen at the intersection of fields — and that each one represents a life that might be changed.Links Supporting This Episode: Blue Matter page: CLICK HERETara Austraat-Churik LinkedIn page: CLICK HEREBlue Matter LinkedIn page: CLICK HEREMike Biselli LinkedIn page: CLICK HEREMike Biselli Twitter page: CLICK HEREVisit our website: CLICK HERESubscribe to newsletter: CLICK HEREGuest nomination form: CLICK HERE

Join Sam Chen, Founder and CEO of OpenCSG, for an essential exploration of sovereign AI and open-source infrastructure. As enterprises, local governments, and smart cities race to integrate generative and agentic AI, relying strictly on proprietary, closed-source cloud APIs presents significant operational risks: vendor lock-in, ballooning compute costs, regulatory compliance friction, and severe data privacy vulnerabilities. Drawing on over 20 years of deep industry leadership—including founding JiHu (GitLab China), serving as Vice Chair of the Cloud Native Computing Foundation (CNCF), and leading senior initiatives at IBM, HP, and Mesosphere—Sam shares a pragmatic blueprint for how organizations can build, deploy, and retain total ownership over their AI stack.

Samsung y SK Hynix rechazan adelantar cinco años de electricidad para financiar la red de sus fábricas de chips. También hablamos del contrato de servicios GPU de 13.700 millones de dólares que The Information atribuye a Anthropic y de un modelo abierto de NASA e IBM para localizar hielo, cráteres y volcanismo en la Luna.Puedes seguirnos en YouTube en https://youtube.com/olivernabani y puedes unirte al Discord Mashain en https://olivernabani.com/discord

What happens when someone who has spent nearly his entire life understanding code, data, and technological systems begins questioning the nature of reality itself? In this episode Dr. John Price is joined by Brett Hurt who began programming at seven years old and went on to become one of Austin's most successful technology entrepreneurs. He founded Coremetrics, acquired by IBM for $300 million, and Bazaarvoice, which became a billion-dollar public company. Most recently, he co-founded and led data.world before its acquisition by ServiceNow in 2025. But after decades of building companies and achieving extraordinary financial success, Brett found himself moving toward a very different set of questions. A series of psychedelic experiences, including one he describes as an encounter with God, initiated what Brett calls his Soul Quest. He read more than 85 books in 18 months, exploring consciousness, post-materialist science, spirituality, ancient wisdom, and the nature of reality. That exploration eventually became his USA TODAY bestselling book, Love Conquers Fear: Humanity, AI, and the Age of Abundance for All. In this conversation, we begin with the seven-year-old who discovered coding and explore how computer science shaped Brett's way of seeing the world. We talk about entrepreneurship, failure, self-doubt, wealth, and the “scarcity operating system” that helped drive his success. We then move into the psychedelic experiences that disrupted his understanding of reality and his subsequent investigation into consciousness, science, and spirituality. We also explore the hard problem of consciousness, whether intelligence and consciousness are actually the same thing, what AI may reveal about being human, and how education must change when information becomes nearly instantaneous. And we examine Brett's central argument that love can conquer fear, including a deeper question: What if fear is not simply something to overcome, but something that can tell us what matters? This is a conversation about technology, but underneath it is a conversation about the human being creating the technology: what forms us, what drives us, what our systems cannot measure, and what happens when the worldview that helped us succeed can no longer contain our experience. Brett Hurt is a serial technology entrepreneur, investor, USA TODAY bestselling author, and CEO of Love Conquers Fear. Alongside his wife, Debra, he co-leads Hurt Family Investments, which has backed more than 150 startups and 50 venture funds. Topics include: computer science and coding, AI and consciousness, psychedelics and mystical experience, the nature of reality, entrepreneurship and self-doubt, wealth and success, fear and love, education in the age of AI, post-materialist science, and the limits of what data can tell us about being human. https://www.loveconquersfear.org

Brenden is the founder of MasterTalk, a coaching business he started to help ambitious executives & business owners become TOP 1% communicators in their industries so that they can accelerate their success in the workplace & companies.He also hosts a successful YouTube channel by the same name with over 11,000 subscribers.He has coached many executives from companies like Salesforce, Amazon, IBM, Morgan Stanley, Blue Cross, J. Walter Thompson, Deloitte, Verizon and the list goes on."HOST'S DETAILS:___________________________________________►Debra Chantry-Taylor is a Professional EOS Implementer | Entrepreneurial Leadership & Business Coach | Business Owner►See how she can help you: https://www.businessaction.com.au/____________________________________________GUESTS DETAILS:____________________________________________►Website: https://www.rockstarcommunicator.com/

We all know AI models are getting better at finding software vulnerabilities. But can they fix them without creating new problems? In this episode, Wade sits down with Keith Hoodlet, 1Password's Director of Security Research, to discuss new findings from Off-by-1 Labs. Plus, how quickly does good cybersecurity start saving you money?

Waiting for government rules to fix Amazon search bias is a trap. If you spend the next 30 minutes with this episode, you will stop hoping a memo saves your margins and start protecting your brand today. This is for sellers who feel stuck in a tab-heavy workflow where ads, listings, and pricing feel disconnected. I have been in this game since 2012, and I left my W2 at IBM in 2007. I have seen every platform shift. The new reports suggest ecommerce rules might target search bias, but the real villain is your decision to sit on your hands. I break down why waiting is the wrong Amazon FBA move. You will learn how to audit your traffic sources in Seller Central to ensure your Amazon search share is under eighty percent. You will see how to test TikTok Shop Ads with small budgets to build a hedge. You will understand why David, a seller doing thirty thousand a month, started building hedges instead of panicking. These are three concrete ways your operation becomes more resilient. If you are drowning in tabs, this is your signal to act. Listen now to protect your brand before the algorithm shifts again. This is The High Voltage Business Builders Podcast. See your Amazon numbers in one place and protect your margins with Caiman AI at voltagedm.com: https://voltagedm.com?utm_source=rss&utm_medium=show_notes&utm_campaign=ep382&learn_mcp=1

Most automation projects don't fail because the software was wrong. They fail because nobody could answer a simpler question first: is our asset data actually trustworthy?Griffin Hamilton sits down with Yvonne Harrison of CamCode for part one of a two-part conversation on what has to be true before you automate anything. You know what you have, and everyone in the building calls it the same thing.What you'll learn:- Why "you can't automate if you can't locate" is the first test of any automation project, and the four failure patterns that give it away: missing assets, duplicate records, inconsistent naming, and disconnected systems- How to stop chasing a perfect asset register and build a consistent one instead, using audits, standardized identification, and a hierarchy that reads the same in every building- How often to reconcile physical assets against the register, and why the answer changes for high-acquisition organizations versus education, where funding cycles drive a three-year audit- Why data ownership has to be assigned by function, so the safety team, the sustainability analyst, and the asset manager can each pull their slice of the same recordAbout Yvonne:Yvonne Harrison leads the facilities and asset management market at CamCode, best known for durable asset identification. She spent four years at IBM as an asset lifecycle management SME and has worked implementation, sales, and hands-on hierarchy setup across roughly a decade in the space. She has seen what happens when a go-live date meets a spreadsheet nobody has audited.Part two picks up with process standardization, connecting physical assets to digital workflows, and the adoption problem that sinks most rollouts.Connect with the show:LinkedInFlowPathHost: Griffin Hamilton (griffin@getflowpath.com)The Modern Facilities Management Podcast is presented by FlowPath, facility management software built for modern FM teams. Learn more at getflowpath.com.If you enjoyed this episode, please leave a rating and review. It helps other FM professionals find the show

Episode 170 | This week, DP & McGhee shake things up by changing the format of the show and launching the first edition of the

-NASA and IBM found it was particularly adept at identifying areas on the lunar surface where there might be ice. -The price hike on the Trump phone was first reported by The Verge, which also noted that the provider didn't make an announcement about it and just quietly updated its website. -FT is the country's second-largest teachers union and is describing the deal as a "first of its kind" effort that seeks to fill in some gaps from the lack of any real federal guardrails for AI. Learn more about your ad choices. Visit podcastchoices.com/adchoices

The primary sources that marketers have relied on for years are quietly disappearing from AI. News organizations, forums, and media companies are locking down their content from the bots that power the tools everyone is rushing to adopt. What that means for how you serve clients, and for your own relevance, is something most fractional CMOs haven't thought through yet. This episode digs into why the AI tools your clients are counting on are about to get a lot less useful for real market intelligence, and what that creates for the fractional CMO who's paying attention. The more AI promises to replace human judgment, the more the humans who actually understand markets become irreplaceable. Key Topics Covered: Why major news sources are blocking AI crawlers and what that does to the quality of LLM outputs How Reddit and Twitter locked down their data and what that signals for where things go next The difference between what AI will keep getting better at versus where it's about to hit a wall Why "I use AI" means almost nothing without knowing which AI for which job The IBM quote on accountability and what it means for your role as a fractional CMO Why being the expert people want to work with matters more than any sales script What the CMOx Accelerator is building: network, process, and notoriety that AI can't replicate Take the First Step Toward Growth with CMOx  Booking a call with our team is super easy, stress-free, and all about YOU. Whether you're exploring options or ready to scale, this no-pressure consultation is designed to understand your needs and guide you in the right direction. 

At one of my past jobs, long ago, I had a new boss every 6 months. This went on for years. Re-org after re-org, and leaders coming and going. Selling myself to a new leader got real old, real fast. And things seemed to be getting worse. The arc of my experience reporting to those new bosses: * Okay boss* Good boss* Great boss* Bad boss* Horrific bossIt was clear the negative trend line was going to continue at that company, so I left. There are times you can manage the situation when your boss is less than stellar. But sometimes, you can't salvage things, and you need to move on. I've written about bad bosses before and how to handle that situation: This EpisodeIn this episode, I talk more about what to do when you have a terrible boss. The short answer is: it depends. The long answer, which I share in the audio ⬆️, is that it depends on various factors. For example: * How bad is bad?* What is happening? What are they doing?* What kind of bad boss are you dealing with?* How much can you influence them to improve the situation?* How long do you think this issue will last? Can you wait it out?* Can you move to a new team within the company to report to someone else?I share more factors and advice in the audio for this episode. So scroll up, hit play, and check it out. ⬆️

After decades of spinoffs and separations of various parts, GE Aerospace is now trending toward integration. Its $11.75 billion acquisition of Consolidation Precision Products is taking what business schools have been teaching for years (specialization, capital light) and flipping it on its head. Lou, Travis, and Tyler dissect the GE aerospace deal, how it impacts the aerospace & defense indsutry, and whether we're on the precipice of integration. Plus, cybersecurity threats and reverse stock splits. Have a question? Email us; podcasts@fool.com Tyler Crowe, Lou Whiteman, and Travis Hoium discuss: - GE Aerospace acquires Consolidated Precision Prodcuts - The winners and losers of the deal - Boston Scientific's cybersecurity hack fallout - Will cybersecurity make these industries less appealing to investors? - Mailbag: when is a reverse stock split good? Companies discussed: GE, HWM, BA, HONA, RTX, BSX, NVO, CRWD, IBM, BKNG Host: Tyler Crowe Guests: Travis Hoium, Lou Whiteman Engineer: Dan Boyd Disclosure: Advertisements are sponsored content and provided for informational purposes only. The Motley Fool and its affiliates (collectively, “TMF”) do not endorse, recommend, or verify the accuracy or completeness of the statements made within advertisements. TMF is not involved in the offer, sale, or solicitation of any securities advertised herein and makes no representations regarding the suitability, or risks associated with any investment opportunity presented. Investors should conduct their own due diligence and consult with legal, tax, and financial advisors before making any investment decisions. TMF assumes no responsibility for any losses or damages arising from this advertisement. We're committed to transparency: All personal opinions in advertisements from Fools are their own. The product advertised in this episode was loaned to TMF and was returned after a test period or the product advertised in this episode was purchased by TMF. Advertiser has paid for the sponsorship of this episode. Learn more about your ad choices. Visit ⁠⁠megaphone.fm/adchoices Learn more about your ad choices. Visit megaphone.fm/adchoices

Manoj Saxena is the Founder and CEO of Trustwise, an AI safety company focused on helping enterprises securely deploy and control agentic AI systems. A pioneer in responsible AI, he was the first General Manager of IBM Watson and is also the Founder and Executive Chairman of the Responsible AI Institute, a global nonprofit focused on advancing trustworthy and responsible AI. A serial entrepreneur and University of Texas at Austin lecturer, Manoj has founded two venture-backed software companies acquired by Commerce One and IBM and holds 34 software patents. In this episode… As AI evolves from answering questions to making decisions and taking action, the risks to businesses are becoming harder to see and control. Hidden instructions or improper access to sensitive data can expose information, trigger unauthorized actions, and disrupt operations. How can organizations harness AI's power without losing control? For Manoj Saxena, a pioneer in Trusted Artificial Intelligence, organizations need a control layer that ensures AI acts according to policy, intent, and compliance. He highlights a three-step approach — assess, control, and optimize — to identify risks, apply tailored policies, and simulate AI behavior before deployment. He also shares real-world examples of silent breaches and explains why autonomous agents require clear boundaries, oversight, and accountability. These safeguards allow businesses to innovate with AI while reducing risk and maintaining trust. In this episode of the Inspired Insider Podcast, host Dr. Jeremy Weisz sits down with Manoj Saxena, Founder and CEO of Trustwise, to discuss controlling the risks of enterprise AI. They explore silent AI breaches, governing autonomous agents, and building responsible AI systems. Manoj also shares emerging AI revenue models and lessons from auto racing.

EPISODE SUMMARY We have more health data than ever — from wearables and biomarkers to genetics and AI. But does more data actually help us make better decisions? I sit down with computer scientist, former IBM researcher and EVER Health founder Reiner Kraft, Ph.D., to explore the promise and limitations of AI-powered personalized health: what we can really learn from biomarkers, why an individualized recommendation can still be wrong, and where human expertise remains essential. We also get into health optimization, behavior change, supplementation and the danger of turning our health into another full-time job. Because perhaps the best technology isn't the one that gives us the most data — but the one that helps us figure out what actually deserves our attention.   WE TALKED ABOUT … Where AI helps — and where humans still matter … When more health data doesn't mean better answers … How to optimize your health without obsessing over it   EPISODE NOTES Reiner Kraft, Ph.D., is a computer scientist, former Silicon Valley technology executive, researcher and inventor with more than 120 registered US patents. After more than two decades in technology, including roles at IBM Research, Yahoo and Zalando, he turned his systems-thinking approach toward personalized health, prevention and human performance. Today, Reiner is the founder of EVER Health and Epigenetik-Praxis, where he applies a data-driven approach to helping people better understand and manage their health. His work explores how biomarkers, lifestyle data and AI can be combined with human expertise to create more personalized health decisions. LINKS EVER Precision: precision.everhealth.ai/en/ EVER app: everhealth.ai/app LinkedIn: linkedin.com/in/reiner Instagram: @reinerkraftphd Reiner's podcast: Listen on Spotify   Click this link to listen on your favorite podcast player and if you enjoy the show, please leave a rating & review: linktr.ee/wiredforsuccess Music credit: Vittoro by Blue Dot Sessions (www.sessions.blue) Disclaimer: Podcast episodes might contain sponsored content.

Today, we're thrilled to welcome Muhammad Younas, the founder and CEO of vFairs. Muhammad is a true North American tech entrepreneur. He developed the award-winning event technology platform, vFairs, which has powered over 50,000 and reached more than 100 million attendees worldwide. Stay tuned to hear about Muhammad's entrepreneurial journey and the invaluable insights he shares today. Mohammad's Journey Mohammad started at IBM before moving into a role involving virtual events. Frustrated by the limited technology and support available, he built his own platform and used it to run more than 100 events. When an exhibitor asked to use his technology, he saw the opportunity to license it, and vFairs was born. COVID COVID created hockey stick growth for vFairs because the company already had hundreds of customers, case studies, testimonials, and references. Customers also helped shape what came next, asking for tools such as a mobile app, badge printing, exhibitor management, and a speaker portal as they prepared to return to in-person events. Event Technology Event technology can do far more than support an event. Sponsor banners, sponsored notifications, different booth tiers, enhanced profiles, and meetings can create new revenue opportunities while giving sponsors and exhibitors more value. Using AI Mohammad sees AI as a way to remove repetitive tasks from the event process so that people can focus on what technology cannot replace. That includes designing the event experience and creating meaningful connections between attendees, exhibitors, and speakers. The aim is not to automate the human side of events, but to give people more time to focus on it. Automation Before introducing automation, Mohammad recommends mapping out the workflow and deciding which parts genuinely need human involvement. AI can handle repetitive, time-consuming tasks, freeing event professionals to focus on decisions, relationships, and experiences where their involvement adds the most value. Keep the Customer at the Center For Mohammad, building a sustainable business starts with making customers genuinely happy. He sees events as part of the hospitality industry, where the quality of the experience matters because satisfied clients become advocates, generate word of mouth, and create opportunities for future business. The goal is not simply to deliver an event, but to build a company that can continue serving customers well over the long term. An Opportunity for Small Businesses Mohammad believes smaller companies can use AI to rethink problems that were traditionally solved with complex, established software. AI-native technology creates opportunities to build new approaches from the ground up rather than simply adding AI to existing systems. But because events involve so many different use cases and edge cases, that opportunity depends on first understanding how the industry actually works. Perfect It Manually First Mohammad's advice is to understand a process before trying to automate it. That means going through the entire customer journey manually, identifying the real pain points, and learning what prospects and customers actually need. Once the process works and you've built trust with customers, you can use AI to automate the parts that it will genuinely benefit. The Event Planner's Role Is Changing Mohammad expects events to claim a larger share of marketing budgets, but that will come with greater pressure to demonstrate results. Event planners therefore need to move beyond simply executing events and become more involved in the strategic side of the business. Their role is increasingly about showing how an event supports broader business goals and delivers measurable value. Bio: Muhammad Younas is the Founder and CEO of vFairs, an award-winning event technology platform that has powered more than 50,000 events and reached over 100 million attendees worldwide. Over the past decade, Muhammad has helped grow vFairs into a global, all-in-one platform for in-person, hybrid, and virtual events, serving organizations across 50+ countries. Through his work with thousands of event organizers worldwide, he has developed a unique perspective on how technology is reshaping attendee expectations, event engagement, personalization, and the way event teams operate. Under his leadership, vFairs has grown to more than 270 team members and has been recognized as a Leader in the Gartner Magic Quadrant for Event Technology Platforms, while earning a 4.9/5 rating on G2. Muhammad regularly shares practical insights on event technology, AI, attendee experience, and the future of the events industry, drawing on lessons learned from building event technology at global scale. Connect with Eric Rozenberg LinkedIn Facebook Instagram Website Listen to The Business of Meetings podcast Subscribe to The Business of Meetings newsletter Connect with Muhammad Younas vFairs LinkedIn  

https://youtu.be/qE1EscJXoyM (*Watch the YouTube free feed video Monday 9/7 at 6pm EST!)On today's episode of the Occult Symbolism and Pop Culture with Isaac Weishaupt podcast we'll talk about the ritual of destroying World Trade Center Building 7! We'll start with the basic normie conspiracies before we get into the real symbolism of WTC 7: symbolism of the number seven from Crowley, Parsons and Grant as it relates to sex magick and the Apocalypse Whore of Babylon, the satanic Order of the Trapezoid, Michael Aquino, HP Lovecraft and the Order of Nine Angles, the 47th Problem of Euclid with Freemasonry, James Shelby Downard's King Kill 33, Solomon's Temple, IBM, Howard Lutnick, Larry Silverstein and the purpose of charging death sigils!Watch the Free Feed YouTube Monday 9/7 at 6pm EST: https://youtu.be/qE1EscJXoyMLinks:9/2021: 9/11 Conspiracy Theories Part 1: False Flags Pop Culture & Predictive Programming! https://www.illuminatiwatcher.com/9-11-conspiracy-theories-part-1-false-flags-pop-culture-predictive-programming5/2026 Michael Aquino Pt 1: https://illuminatiwatcher.com/michael-aquino-temple-of-set-psyops-satanic-rituals-the-age-of-set/2/2026: Under the Silver Lake Film Analysis Pt 1: Epstein, Occult Symbolism, Initiation Rituals & More! https://illuminatiwatcher.com/under-the-silver-lake-film-analysis-pt-1-epstein-occult-symbolism-initiation-rituals-more/12/2021: Order of Nine Angles Magick Cult- Communications with Symbols Sigils and Satan! (*supporters only episode) https://www.patreon.com/illuminatiwatcher/posts/bonus-order-of-595865926/2025 James Shelby Downard King Kill 33 Pt 1 (*supporters only episode): https://www.patreon.com/illuminatiwatcher/posts/bonus-jfk-james-132858159All My Links: AllMyLinks.com/IsaacW (social media, Audible, online store for signed books, shirts & more)FREE book, social medias, appearances & more: https://allmylinks.com/isaacw  SUPPORTER FEEDS get bonus content AND go commercial free + other perks:*PATREON.com/IlluminatiWatcher : ad free, HUNDREDS of bonus shows, early access AND TWO OF MY BOOKS! (The Dark Path and Kubrick's Code); you can join the conversations with hundreds of other show supporters here: Patreon.com/IlluminatiWatcher (*Patreon is also NOW enabled to connect with Spotify! https://rb.gy/hcq13)*VIP SECTION: Due to the threat of censorship, I set up a Patreon-type system through MY OWN website! IIt's even setup the same: FREE ebooks, Kubrick's Code video! Sign up at: https://illuminatiwatcher.com/members-section/*APPLE PREMIUM: If you're on the Apple Podcasts app- just click the Premium button and you're in! NO more ads, Early Access, EVERY BONUS EPISODE WANT MORE PODCASTS?... Check out my UNCENSORED show with my wife, Breaking Social Norms where we discuss conspiracies, politics, relationships and more!: https://breakingsocialnorms.com/Merch, MushroominatiWatcher Coffee, shirts, signed books: https://occultsymbolism.com/Isaac's Link Tree with links to EVERYTHING: https://allmylinks.com/isaacw *STATEMENT: This show is full of Isaac's useless opinions and presented for entertainment purposes. Audio clips used in Fair Use and taken from YouTube videos. 

Podcast SummaryBitcoin remains below $80,000 as a surprisingly strong August jobs report, a 4.1% unemployment rate, renewed U.S.-Iran fighting and Brent crude near $97 complicate the outlook for interest rates and inflation. Matt also corrects conflicting weekend reports about the military escalation: U.S. officials say Iranian ballistic missiles targeted an American aircraft carrier and destroyer but did not hit them, after which the United States struck three Iranian oil tankers.The bigger discussion is technological. GPT-6 Astra dramatically expands what AI agents can do across computers, software, research and cybersecurity, potentially allowing future agents to interact directly with wallets, DeFi and other crypto infrastructure. IBM, meanwhile, is targeting a 200-logical-qubit fault-tolerant Starling quantum computer in 2029. Matt argues that we're already entering his definition of AGI and that crypto needs to prepare now for a world where increasingly autonomous AI and increasingly capable quantum computers collide with financial infrastructure.Happy HODLing Hosted on Acast. See acast.com/privacy for more information.

We are re-releasing this episode in tribute to Prof. Randy Picker, who passed away on August 15, 2026. In 2020, Randy joined co-hosts Anora Wang and John Roberti for an episode on the 13-year-long U.S. antitrust case against IBM brought in 1969, exploring how U.S. antitrust dealing with tech ranges from early government cases involving punch cards to government probes into today's platforms, and how antitrust enforcement can impact the technology landscape for decades later. Years later, the episode holds up remarkably well - the questions Randy raised about whether the antitrust past would repeat itself in the tech world remain just as central to today's platform antitrust cases and debates over Big Tech enforcement. We share Randy's episode again in celebration of his generosity, insight, and decades of contribution to antitrust scholarship. With special guest: Randal C. Picker, James Parker Hall Distinguished Service Professor of Law, University of Chicago Law School Related Links: Randal C. Picker, renowned legal scholar, 1959-2026 Hosted by: Lexi Michaud, Fried Frank; Anora Wang; and John Roberti, Zaiger Linden Roberti & Pepe

AI was supposed to replace people. Instead, companies like Ford and IBM are quietly rehiring the humans they let go — and scrambling to rebuild the bench they tore down.

Market Complacency, Private Credit, FOMO Insurance. Fed Policy, Bond Buybacks, Operation Twist. Commodity Crunch, Hidden Volatility, Market Sinkhole – want more? Listen to this episode and you may find out about what lurks underneath the surface… Looking into the WHO CARES economy with our Guest- IBKR's Chief Market Strategist – Steve Sosnick.   NEW! DOWNLOAD THIS EPISODE’S AI GENERATED SHOW NOTES (Guest Segment) Steve is the Chief Strategist at Interactive Brokers.  He also serves as Head Trader of IBKR Securities Services, the firm's trading division (formerly known as Timber Hill), and is a Member of Interactive Brokers Group, the firm's holding company. Steve has held numerous roles in the organization since joining Timber Hill in 1995 as Equity Risk Manager and an options market maker.  He led the firm into Canada in 1998 and managed Timber Hill Canada throughout its existence.  Much of Steve's career was spent quietly developing and implementing algorithmic and electronic trading strategies for stocks and options before moving into a more visible role as Chief Options Strategist and later Chief Strategist. Steve has guest authored several columns in Barron's and made numerous live appearances on Bloomberg TV and Radio, CNBC. Check this out and find out more at: http://www.interactivebrokers.com/ Follow @andrewhorowitz Looking for style diversification? More information on the TDI Managed Growth Strategy – HERE Stocks mentioned in this episode: (GLD), (SLV),(AAPL), (BX), (CVX), (GOOGL), (IBM), (IBKR), (META), (MSFT)

Forget Growth. Your Valuation Depends On Your AI Story | Tomasz Tunguz, GP @ Theory Ventures Tomasz Tunguz, General Partner at Theory Ventures, joins Sam Jacobs, AJ Bruno, and Asad Zaman with public software multiples sitting at 4 to 4.5 times forward revenue, down from the 100x ceiling of 2021. Topics include why the market now pays for an AI story rather than growth, the $10 billion AI companies committed in a single year to putting forward-deployed engineers inside customer orgs, and the 41 days a model company gets to commercialize a state-of-the-art release before it is knocked off the perch. Plus, why the mid-market is being abandoned for enterprise deals that close in 45 days, what quota inflation at AI-native companies is actually measuring, and a bull-versus-bear call on 50 to 100x multiples for AI harness companies twelve months from now. Key Takeaways: - The valuation follows the AI story, not the growth rate. Average public software trades around 4 to 4.5 times forward revenue today, and the category leaders carrying 30x and up are usually not the fastest growers in their category. As Tomasz put it: "what the market is asking for, and this is both true in the public and the private market, is great, you have an existing business, now show me that you can sell tokens." Revenue growth is still the highest single correlate to multiple, but the token story is what re-rates a company before the revenue shows up. - Before you copy an AI-native company's quota model, work out where the number is actually coming from. "It's not the supply side has changed and suddenly become 10x more productive. It's the demand side budgets have increased by a factor of 10. And that's what's driving quotas," said Tomasz. Quota-to-OTE ratios that topped out between 2.5 and 4 at Oracle and IBM five years ago are now routinely 1.5 at early startups, and a single insurance account can carry a quota in the tens to hundreds of millions, which is why he no longer grades companies on AE to SDR or AE to CSM ratios at all. - Using AI to save time is the wrong target for top-tier performance. Tunguz rebuilt his blog workflow so every edit runs through AI, and the total edit count held flat at 134 per post regardless of how long he had been at it, while a graded review of ten years of posts showed a 20% quality increase in 2026. "if you're a chess grandmaster and you want to be better with AI, you don't train less. You train just as much, but you hold yourself to a higher standard." The hour to an hour and a half per post did not change; the research, citations, and depth of analysis did. - Product advantage is thinning, so the distribution move is what investors are underwriting now. "the go-to-market innovation is now significantly more important than it was. And if you can find a founder who can execute a beautiful go-to-market judo move and produce a lot of leverage for the company, then it's incredible," said Tomasz Tunguz, General Partner at Theory Ventures, placing Dropbox, Zoom, Confluent, and HashiCorp as the previous era's version of the same pattern.  Connect with the Hosts & Guests: Host: Sam Jacobs, CEO at Pavilion - https://www.linkedin.com/in/samfjacobs/ Host: AJ Bruno, CEO at QuotaPath - https://www.linkedin.com/in/ajbruno3/ Host: Asad Zaman, CEO at STA - https://www.linkedin.com/in/azaman1/ Guest: Tomasz Tunguz, General Partner at Theory Ventures - https://www.linkedin.com/in/tomasztunguz/ Topline is more than a YouTube Channel: Subscribe to Topline Newsletter: https://toplinemedia.substack.com/ Tune into Topline Podcast, the #1 podcast for founders, operators, and investors in B2B tech: https://www.joinpavilion.com/topline-podcast Join the free Topline Slack channel to connect with 600+ revenue leaders to keep the conversation going beyond the podcast: https://www.joinpavilion.com/topline-slack Chapters: 00:00 Introducing Tomasz Tunguz 02:16 Market Stopped Paying For Growth 04:56 Show Me You Can Sell Tokens 06:33 Inside The Hugging Face Hack 10:07 Explaining RL With A Roomba 13:43 Is Security The Next AI Use Case 17:49 Fertility, Consumption, And Tokens 22:36 Overleveraged On The AI Buildout 26:08 Writing Every Post Through AI 30:55 The $10 Billion FDE Boom 39:11 FDE Moat Or Toll Booth 44:39 Quotas Are A Demand-Side Story 52:54 Does Customer Success Die 55:55 Enterprise Shift And GTM Judo 01:03:41 Bulls and Bears Sources & Attribution: 2015 quota figure: https://tomtunguz.com/how-big-should-your-sales-pipeline-be/ SaaS AE compensation: https://blog.bridgegroupinc.com/saas-account-executive-compensation 2024 AE metrics and compensation benchmark: https://blog.bridgegroupinc.com/2024-ae-metrics-compensation-benchmark AI investment map: https://www.forbes.com/councils/forbestechcouncil/2026/02/27/ai-is-redrawing-the-tech-investment-map-in-2026/ The $10B FDE Boom: https://tomtunguz.com/the-10b-fde-boom/ Clip: https://www.youtube.com/watch?v=8DbCQn86f9w Clip: https://www.youtube.com/watch?v=bSo4V6tY9XQ&t=1385s Clip: https://www.youtube.com/watch?v=36mE3cjYldU&t=560s

BONUS: Why Software Projects Fail When Everyone Keeps Quiet Software projects rarely fail because no one noticed the problem. More often, people see the missing database, the wrong assumptions, the broken process, or the weak product ownership, but the organization has trained them to stay quiet. In this BONUS episode, Mark Stringer, author of Delivering the Impossible, helps us understand how Scrum Masters can make reality visible again. The Problem Of Intention In Software Projects "You've got here a problem of intention, and you can't fix that by coming up with new, more magical marks on the page."   Mark starts with a story from the mid-1990s, before Agile was a common word in software teams. In a software development course, he heard the familiar promise: if only requirements could be captured with the right notation, the project would go correctly. His reaction was different. Software is not only a problem of documentation or process, it is a problem of translating intent into reality. That gap between marks on a page and what people actually need is where many projects begin to drift. Point Of View Can Make Smart People Miss Reality "If we see things in the wrong way, then point of view can take 80 IQ points off us."   Mark uses Alan Kay's idea that point of view is worth 80 IQ points to explain why good people can still make poor project decisions. A methodology can help, but only if it helps the team see what is actually happening. When the model becomes more important than reality, teams start defending the plan instead of learning from the system they are trying to change. Scrum Masters can help by asking what the current point of view hides, not only what it explains. The Swamp: Why Project Complexity Is Not On The Diagram "The fastest way between two points in a real organization is not necessarily a straight line."   In one banking project, Mark found two realities that had not survived the diagrams. First, a transaction database shown on every architecture diagram did not exist. Second, after six months of requirements work and several million pounds spent, a simple show and tell revealed that the design was organized around accounts when stakeholders needed it organized around people. The point was not that the team had failed to write enough requirements. The point was that the real environment was a swamp of legacy systems, power shifts, competing groups, regulations, users, and assumptions. You only discover that swamp by starting, showing real work, and letting stakeholders react. Agreed Activity: When The Rituals Keep Going But The Project Is Already Lost "Everybody knows why the project's failing. It's not a mystery at all."   Mark calls one common failure mode "agreed activity." The team keeps attending standups, planning meetings, status reviews, and retrospectives, even when people privately know the project is not going anywhere. Often they have tried to raise the real issue before and were punished for it. After that, silence becomes rational. The organization keeps reporting activity, expenditure, and compliance with the process, while the real blockers stay untouched. For Scrum Masters, this is a warning: ceremonies are useful only when they let reality enter the conversation. Product Ownership, Bad News, And The Message Leaders Send "The message that the development team hears is: don't rock the boat, just keep taking the money."   The Product Owner role can help break agreed activity, but only if the person has enough authority to make decisions and enough proximity to the team to learn. Mark describes two common anti-patterns: appointing someone junior who can be pushed around, or appointing someone so senior they have no time for the work. Worse, when someone points out a fundamental problem and gets metaphorically shot, the team learns the real rule: stay quiet. Leaders may think they are asking for positivity or commitment, but the team hears permission to cut corners, hide bad news, and treat spending as progress. Make Scrum A Hypothesis Testing Framework Again "That kind of unexpected feedback, that's the hope. That's the machine working."   Mark's practical advice is to keep the cadence, but make the meetings real. A show and tell should expose assumptions. A retrospective should make uncomfortable feedback usable. Scrum works best when it is treated as an empirical, hypothesis-testing framework, not a list of meetings to implement. Mark also points to user research as a way to extend learning back into the environment. Teams cannot guess how users will react, which buttons they will press, what they will ignore, or what market and organizational changes are shaping the work. They have to test, learn, and adjust. About Mark Stringer Mark Stringer is the author of Delivering the Impossible, a 2026 Apress book on better ways of seeing software project management. He has spent 30 years in software delivery as a developer, application researcher, and project manager, working with IBM, Xerox, and Cambridge University.   You can link with Mark Stringer on LinkedIn and follow Mark's writing at markstringer.github.io. You can find Delivering the Impossible on Amazon and Springer.

In this episode, Ray Cochrane breaks down Hot Chips 2026, the engineering conference where IBM, NVIDIA, Intel, AMD, Arm, and Fujitsu all showed how their next processors actually work. The headline disclosure is a mainframe core that runs Arm natively. Ray also covers Apple’s odd M6 Mac mini naming, London’s first autonomous Uber rides, Amazon’s purchase of the company behind DuckDB, GitHub’s HydraFusion, the best of IFA 2026, and new USDA research on farmed salmon. – Want to start a podcast? It’s easy to get started! Sign-up at Blubrry – Thinking of buying a Starlink? Use my link to support the show. Subscribe to the Newsletter. Email Ray if you want to get in touch! Like and Follow Geek News Central’s Facebook Page. Support my Show Sponsor: Best Godaddy Promo Codes Get 1Password Full Summary Cochrane opens the show with a personal update. He apologizes for the late rollout and the missed Monday episode, having spent the week fighting a cold. He’s also heading to Michigan to spend time with family and visit his father’s gravesite. He hopes to record a couple of shows from his dad’s old studio while he is there, including a special episode planned for Tuesday. He also points listeners to a fresh site redesign that trades the old techie look for something cleaner and friendlier. The featured segment starts from a wrap-up post on Arm’s newsroom. However, Cochrane broadens it to cover the whole conference rather than a single article. Hot Chips has run every August since 1989, and this year’s event was the 38th, held August 23rd through the 25th at Stanford’s Memorial Auditorium. What Hot Chips Actually Is Cochrane draws a line between Hot Chips and the big consumer trade shows. CES and Computex exist for product announcements and marketing. Meanwhile, Hot Chips is an IEEE engineering conference where chip architects present block diagrams and die photos for thirty minutes at a stretch. The audience matters as much as the content. Roughly five hundred people who design chips for a living fill the room, and they would spot a fudged number immediately. No written paper is required, just the talk and the slides. In-person tickets sold out this year, as did Stanford’s dorm housing. Cochrane says he plans to cover the conference annually going forward. IBM Built a Mainframe Core That Speaks Arm The disclosure that stopped Cochrane cold came from IBM. Its next processor for IBM Z and LinuxONE runs two completely different instruction sets natively, on every one of its eleven cores. Those are z/Architecture, IBM’s own mainframe language, and AArch64, which is 64-bit Arm. Crucially, this is not emulation. Nor is it Arm cores glued onto the die beside the mainframe cores. IBM built 2,792 Arm instructions directly into the hardware, which it says is more than double the mainframe instruction count. Each core carries two separate decoders while sharing the caches, branch predictor and register files downstream. It switches between the two in nanoseconds. IBM even added dedicated hardware to flip byte order, because Arm and the mainframe store numbers in opposite directions. The payoff is Arm SystemReady compliance, meaning off-the-shelf Arm Linux runs on a mainframe unmodified. Patrick Kennedy of ServeTheHome, who was in the room, wrote: “I am sitting here still in awe of what IBM is doing here; this is not Z plus Arm cores, this is Z and Arm in one core.” Cochrane flags one precision point that is easy to get backward. IBM did not license Arm’s core designs and drop them in. Instead, it took its own mainframe core and taught it AArch64 under an architecture license, which is considerably harder engineering. The specifications are striking. The chip uses a 2nm process, with eleven cores running above 5.7GHz sustained and no turbo mode at all. Each core gets 36MB of L2 cache, backed by a 3.5GB virtual L4 pool. Furthermore, the reliability target is eight nines, which works out to roughly three tenths of one second of unplanned downtime per year. IBM gave it no name and no ship date, though the press expects “Telum III” around 2028. Arm, Fujitsu and NVIDIA Show Their Hands Arm itself had plenty to discuss, starting with an unfortunate name. Its first chip in thirty-five years is called the AGI CPU, which is a product name rather than any claim about artificial general intelligence. For three and a half decades, Arm designed processor blueprints and licensed them out, collecting royalties without competing. That era is now over. The AGI CPU is Arm’s own silicon, co-designed with lead customer Meta, running up to 136 cores on TSMC’s 3nm process at 300 watts. Arm’s CEO says the company has more than $2 billion in customer demand across the next two fiscal years. Fujitsu brought the detail Cochrane called the coolest of the conference. Its MONAKA chip packs 144 Arm-based cores, but the trick is the cache. Rather than sitting alongside the cores and eating die area, the entire last-level cache lives on a separate 5nm die with the 2nm compute die stacked directly on top. It ships in 2027 in 350-watt and 500-watt versions. NVIDIA had more stage time than anyone, with six sessions. Its new Vera CPU carries 88 cores of NVIDIA’s own Olympus design, which marks a change: the previous Grace CPU used Arm’s off-the-shelf cores. Consequently, Arm’s win here is the instruction set, not the blueprint. The memory disclosure drew the most attention, with a fully loaded system reaching 1.5TB at 1.2TB/s while the whole memory subsystem draws just 30 to 40 watts. The Caveat on NVIDIA’s Benchmark Slides Cochrane pushes back on how NVIDIA presented its numbers. On the standard SPEC integer benchmark, Vera scored 925 against AMD’s 128-core EPYC score of 898, about three percent ahead. However, the slide NVIDIA showed normalizes that same result per physical core, which makes a three percent gap look enormous. NVIDIA defends the choice, arguing that per-core throughput matters when thousands of AI agents run at once. Cochrane grants that it is a fair argument to make. Even so, his verdict is blunt: it is a different number from the headline one, and presenting it that way is not the best look. Sponsor: GoDaddy Economy hosting $6.99/month, WordPress hosting $12.99/month, domains $11.99. Website builder trial available. Use codes at geeknewscentral.com/godaddy to support the show. Apple’s Newest Chip Landed in Its Cheapest Mac Last week’s episode covered the Mac Studio half of Apple’s August announcement. Tonight Cochrane takes the other half, the new Mac mini, and finds the numbering genuinely strange. The $899 base Mac mini gets the M6, which is Apple’s first 2nm chip and the newest process the company has shipped. It brings twelve CPU cores, twelve GPU cores, and 170GB/s of memory bandwidth. Apple also introduced a third CPU core class called super cores. So Apple’s most advanced chip sits in its cheapest desktop, while the M5 Pro, M5 Max and M5 Ultra above it all carry a lower number. It gets stranger. The M6 mini has Thunderbolt 4 while the pricier M5 Pro mini has Thunderbolt 5, and the memory ceiling runs backward too. Apple explains none of it across three announcement pages. Reading between the lines, Cochrane figures the M6 is the entry point of a new generation that shipped ahead of its larger siblings. London’s Robotaxis Started Carrying Passengers Arm’s monthly roundup covers everything outside the data center, and Wayve stood out. Transport for London granted the British self-driving company private hire vehicle licenses on August 5th, the same category a minicab needs. Then on September 3rd the service launched with Uber, marking the first autonomous rides ever offered to UK passengers. A small fleet of Ford Mustang Mach-Es covers anywhere in London except the airports, with a TfL-licensed safety driver still aboard. Over 140,000 Londoners signed up. The compute runs on NVIDIA’s Arm-based automotive platform, which is why Arm claims the win. Cochrane notes the pattern: once you set a standard nobody can move off, these wins keep arriving. Two more items round it out, both about squeezing AI onto phones. Google’s Pixel 11 shipped in August with the Tensor G6, and Google claims on-device AI runs up to 3.5x faster using 3.5x less energy. Those are Google’s own unbenchmarked figures. Separately, Graphcore’s research team worked with Arm to run an 11-billion-parameter vision model on phone-class processors by squeezing each parameter to 2.7 bits, taking the model from roughly 22GB down to 3.7GB. Intel Is Pitching AI Infrastructure From a Long Way Back Intel’s newsroom post previews the AI Infra Summit, running September 15th through 17th in Santa Clara. CEO Lip-Bu Tan takes a fireside chat on Tuesday morning, with three Intel sessions across the show. Cochrane unpacks two terms first. Physical AI means AI that acts in the real world through sensors and motors rather than living on a screen, and Intel takes it seriously enough to have renamed its PC division the Client Computing and Physical AI Group in May. Disaggregated inference splits the two phases of running a model: reading your prompt is compute-hungry, while writing the answer back is memory-hungry. The context is where this gets interesting. Intel’s revenue rose 25 percent last quarter, its fastest growth since 2011. Nevertheless, in AI accelerators the company barely registers next to NVIDIA. Gaudi has effectively been abandoned, to the point that Intel stopped maintaining its open-source driver, and AMD passed Intel in data center revenue last quarter. Tellingly, when Intel demoed disaggregated inference at Computex, NVIDIA GPUs handled one phase and SambaNova chips the other while Intel supplied the coordinating CPU. Crescent Island, Intel’s actual inference chip, does not sample until later this year, and Intel declined to publish its memory bandwidth. Amazon Bought the Company Behind DuckDB On August 26th, Amazon signed a deal to acquire DuckLabs, the Amsterdam company behind DuckDB. Cochrane spends time explaining what DuckDB is, since listeners outside the data world may never have encountered it. The problem it solves is familiar. Querying a large pile of data files traditionally meant either running a database server or spinning up a data warehouse with a cluster, a bill, and a loading pipeline. Both are heavy machinery for a question you wanted answered in ten seconds. DuckDB instead ships as a library rather than a server. You add it to your program like any other package, point it at your files, and write ordinary SQL directly against them. The data never moves. The usual comparison is SQLite, which is embedded in nearly every phone and browser on earth. Where SQLite excels at looking up one record, DuckDB rebuilds that embedded idea for chewing through millions of rows. It now sees roughly 62 million monthly downloads on Python’s package index alone, up from about 25 million last October. AWS says it is buying the company, not the project. DuckDB stays free and open source under the MIT license, held by a Dutch nonprofit foundation, and the founders join AWS while continuing to run technical direction from Amsterdam. Andy Warfield, a VP and distinguished engineer at AWS, described DuckDB as “the glibc of structured data: a lean, unglamorous, ubiquitous dependency that a great deal of software links against and almost nobody has to think about.” Cochrane sits with what that ownership means. He reaches for an analogy: imagine Daniel Stenberg selling curl. He doubts it would ever happen, but the concept alone is startling given how much infrastructure depends on it. His read is that AWS is betting DuckDB becomes as foundational as curl and SQLite already are. GitHub Has One AI Model Grade Another One’s Homework GitHub shipped Project HydraFusion into Copilot as a research preview. Instead of routing your request to a single model, it picks one of three approaches per request. Sometimes one model simply answers. Alternatively, a cheaper model drafts, and a quality gate decides whether to escalate. The interesting one is Critique. One model writes the code, a separate model from a different family reviews it read-only, and the original gets one pass to revise. Despite the name, nothing is fused here. There is no voting and no merging, just one model at a time with a gate deciding whether to spend more. GitHub explained the reasoning in an earlier post: “a model reviewing its own work is still bounded by its own training biases: the same training data and techniques, the same blind spots.” Research supports it. A team at NeurIPS in 2024 showed that models recognize their own writing and score it higher than human graders do. GitHub’s earlier number had a Claude Sonnet and GPT critic pairing closing about three-quarters of the gap between Sonnet and the larger Opus model. This mirrors a workflow Cochrane uses constantly and has described on a previous episode. He runs a cross-check review with a second model from a different company, and it routinely surfaces issues the first model missed. He explains that different training data, different engineers, and different reinforcement approaches build different internal biases about what counts as correct. Looking ahead, he expects more of these “Frankenstein patterns” where models from different training families work together. The Best of IFA 2026, and What You Can Actually Buy IFA opened to the public in Berlin for its 102nd year, with about 1,900 brands. Cochrane splits The Verge’s roundup in two, since much of what generates headlines at these shows never ships. Starting with real products, iRobot’s flagship Roomba Max 875 Combo runs $1,199 and ships in about two weeks. Its SealForce feature drops a hidden skirt from the chassis when it detects carpet, sealing against the fibers so suction concentrates instead of leaking out the sides. That reaches 35,000 pascals, iRobot’s strongest yet. A step-down model at $899 carries the same trick, though Cochrane balks at both prices. Anker’s Soundcore Sleep 4 Pro earbuds arrive in November at $349.99. The charging case carries its own round touchscreen, so you pick soundscapes, set alarms, and read sleep stats without your phone. Optical sensors read heart rate and variability from the ear canal, which beats the wrist for accuracy, and the case masks a snoring partner. Cochrane remains unconvinced about sleeping with earbuds in. Philips also has smart rope lights, the Hue Liane 360, on sale now. They glow evenly around the tube rather than showing individual LEDs. They also run $400 for three meters, which works out to about $130 per meter of rope light. As for concepts nobody can buy, iRobot showed a robot vacuum that carries a smaller robot vacuum on its back in a garage and lowers it to deploy. Lenovo brought a 14-inch laptop whose screen rolls out to 17 inches at the press of a button, which reviewers call the first rollable that feels close to shippable. Tecno showed a phone with essentially no border around the screen, and Acer had a Windows gaming handheld that swivels its screen up over a keyboard. Two themes ran through the show. Humanoid robots were the loudest thing on the floor, and IFA’s own CEO framed the event as being about robots that work rather than robots that demo. Meanwhile, AI stopped being its own product category and became an ingredient, showing up in refrigerators, treadmills, dishwashers, and motorized TV mounts. Farmed Salmon Isn’t the Omega-3 Machine It Used to Be USDA scientists measured farmed salmon and found considerably less of the good fat than the government’s own database claims. EPA and DHA are two fatty acids you get almost entirely from fish. Your body can build them from the plant version, but only in tiny amounts, so the NIH’s position is that eating them is the only practical way to raise your levels. Those fatty acids are structural pieces of every cell, with DHA concentrating in the brain and retina. That is why the federal dietary guidelines, issued jointly by USDA and Health and Human Services, recommend at least eight ounces of fish a week and steer you toward salmon. That amount is calibrated to deliver about 250 milligrams a day. Published in Frontiers in Nutrition last month, the study found EPA and DHA in farmed Atlantic salmon came in 54.7 percent lower than USDA’s own reference values, last updated in 2018. A three-ounce serving fell from roughly 1,670 milligrams to about 756. Consequently, two servings a week now fall about 14 percent short of the target. Plant-derived fats meanwhile rose two to three times over. The likely cause is feed. Salmon are carnivores, and farms once fed them oily little fish. There was never going to be enough of those as the industry scaled, so crops filled the gap: soy, canola, sunflower and linseed. Importantly, the study does not claim to have proven this and calls the feed shift a plausible explanation. Independent corroboration lends it credibility. Researchers at Stirling measured a similar halving in Scottish salmon between 2006 and 2015, and Norway’s marine institute saw it across thousands of samples. There is a land dimension too. Roughly half the world’s soy grows in South America, where rainforest gets cleared for feed. Matthew Hayek, who studies the environmental cost of protein at NYU, told Inside Climate News that “soy is a major, important protein and oil ingredient in fish farming.” Adding up two decades of soy across all fish farming, he puts the extra forest clearing at around the area of Nicaragua or Bangladesh. That figure covers all fish farming rather than salmon alone, and Hayek notes it is hard to attribute soy use to any single species. Cochrane closes with two caveats. First, the study measured only eight fish, bought around Maryland, DC and Virginia over six weeks in 2023, and nearly all sourced from Chile. That is not a national survey, and the authors say plainly the sample was not large enough to change government advice. Rather, it flags that a federal database value needs rechecking, which is what the paper set out to do. Second, on whether you should care, farmed salmon still beats beef, chicken and eggs by a mile, since those carry essentially zero EPA and DHA. What it loses is its crown among fatty fish, dropping to mid-pack behind herring, sardines and mackerel and roughly level with trout. The broader health case is also softer than the 2000s suggested. A review of 86 trials covering 162,000 people found supplements barely moved heart attacks or deaths, so eating fish and swallowing fish oil are not the same claim. No producer has responded to the findings, and USDA, whose own scientists ran the study, declined an interview and did not answer emailed questions. Cochrane wraps up with housekeeping and a note that he will be back on Labor Day. The post The Mainframe Learned to Speak Arm #1875 appeared first on Geek News Central.

Send us Fan MailDeloitte, PwC, IBM, and 4,500 other companies use Adobe Experience Cloud products.And they can't find enough people who know how to implement them.Nick Hilton, Tyler Tu, and Brian Au from Adobe's Customer Experience Certifications team named the Adobe jobs they're struggling to fill: MarTech analysts, implementation consultants, solution architects. None of them require a technical degree – what they require is proof you can use the tools.That's what Adobe is putting in front of graduate students this fall in the Case Competition World Cup Graduate Track.The 50 teams selected get a sandbox Customer Journey Analytics environment and a real business problem to solve inside it, not documentation to read about. Plus a free Adobe certification voucher.Free to enter. Applications close September 13.Resources:Grad students, apply to the Case Competition World Cup – Graduate Track presented by Adobe by Sunday, September 13Start free with Adobe CX courses and certificationsStudents: Get 50% off your certification exam applied automatically at checkout (use your university email)Connect With Management ConsultedCreate a free MC account or download the MC app (Apple, Android) to start your prep todaySchedule a free 15min consultation with the MC TeamWatch the video version of the podcast on YouTubeFollow us on LinkedIn, Instagram, and TikTokJoin an upcoming live event – case interviews demos, expert panels, and more

This week, we discuss rogue AI agent civilizations, why AI can't fix your tax forms, and Chainguard vs. IBM's Lightwell. Plus, refrigerator magnet marketing. Watch the YouTube Live Recording of Episode 588 Runner-up Titles Mark this moment Refrigerator magnets Fester in your inbox The reaction would not be “let's have a podcast about it” Maximum boasty Your silos are showing They want me to get started The really is no plan except eating RISCy business It's Not Only the AIs Acting Like Middle Schoolers We Fell for It Agent Zero Was the Problem I Thought You Were My Friend More Salsa Than Chewy's in 2004 Vibes based analysis Rundown Agent Civilizations The Rise and Fall of Agent Civilizations The Rise and Fall of Agent Civilizations (podcast) Who Wins Hardened Containers Chainguard's Athena clears 40,000 vulnerabilities Tech giants warn time is running out to prepare for AI threats Start Secure in the AI Era: Accelerating AI Threat Readiness with WizOS Lightwell (IBM) Lightwell (Red Hat) The Linux Kernel Is Approaching 2,000 CVEs Per Release Relevant to your Interests AWS to acquire DuckLabs, the Amsterdam-based company behind DuckDB Historic first as Chinese robot beats Usain Bolt's 100m world record at Beijing games Observability Revenue Bill Gates Warns AI Is More Dangerous Than Big Tech Will Admit Microsoft cracks down on employee AI use after one worker spent $28,000 in 28 days Twitter - The Square Is Back Inside Meta's Push to Put Robots to Work in Data Centers Kara Swisher on Threads Nvidia (NVDA) Q2 2027 earnings report: Live updates Claudeforce: The AI Interface Salesforce Never Built Salesforce, Anthropic expand partnership as Benioff responds to "SaaSpocalypse" concerns Nonsense Gwyneth Paltrow's Hamptons Dinner for A.I. C.E.O. Is Postponed Dyson CameraJet: The first toothbrush with a camera and a jet, to target the gaps and remove plaque between your teeth Conferences WeAreDevelopers NA, Sept 23-25, 2026, Discount Code: DEVPOD50 25 Free Tickets DevOpsDays Graz, Sept 4-5, 2026 Cloud Foundry Summit, Sept. 21st to 22nd, Heidelberg, Coté speaking. DevOpsDays Rockies, Sept. 22 – 23, 2026, Discount Code: 26DODSWEDEFTALK DevOpsDays Dallas, Sept 28-29, 2026 DevOpsDays Vilnius, Sep 30 - Oct 1, 2006, Lithuania. DevOpsDays Prague, Oct 5, 2026 - Coté speaking. DevOpsDays Istanbul, Oct 24th, 2026, Coté keynoting. VMware User Group, Orlando, Oct 20-22, 2026 Cloud Native Denmark, Nov 19th, 2026, Copenhagen, Coté keynoting. Build Stuff, Dec 2-4, 2026, Vilnius, Lithuania. cfgmgmtcamp, February 1st to 3rd, 2027, Ghent. SCALE 24x Pasadena, CA, April 1-4, 2027 SDT News & Community Join our Slack community Email the show: questions@softwaredefinedtalk.com Free stickers: Email your address to stickers@softwaredefinedtalk.com Follow us on social media: Twitter, Threads, Mastodon, LinkedIn, BlueSky Watch us on: Twitch, YouTube, Instagram, TikTok Book offer: Use code SDT for $20 off "Digital WTF" by Coté Sponsor the show Sponsor more podcasts with Failover Media Recommendations Brandon: Violent Ends entogo — Type a keyword. Go anywhere Matt: MeetingBar Futurama - Parasites Lost Coté: NØLSON clothes. Explore videos are up

Since the advent of computers, society has fantasized about conversing with machines. In Divination Engines: Natural Language Processing, Artificial Intelligence, and the Making of Algorithmic Culture (University of Chicago Press, 2026), Dr. Xiaochang Li shows readers how that dream both fueled the demand for data and set the stage for today's generative AI.  With original research and clear explanations, Dr. Li elucidates the origins of what's known as natural language processing (NLP) and the heated twentieth-century debates between computer scientists, linguists, and communication engineers that shaped today's technology. Starting with early devices that recorded, analyzed, and attempted to interpret human speech, she demonstrates how computer speech recognition, particularly efforts led by Bell Labs and IBM, advanced technology by deemphasizing linguistic meaning in favor of statistical prediction. In other words, researchers gradually abandoned systems that sought to understand human language, opting instead for work-arounds that simply predicted patterns in speech and text data. That solution became incredibly and surprisingly adaptable. As Dr. Li reveals, transforming linguistic questions into engineering ones ushered in the routine operation of search engines, spam filters, and the varied content sorting and recommendation mechanisms that regulate the access, circulation, and legitimacy of information across every platform. But this has all come at the cost of forever requiring copious and ever-growing amounts of new data. At its core, Divination Engines illuminates how the artifacts of human communication—speech, text, and images—have become both the fodder for and products of computers. This connection between communication and computation, Li shows, has given rise to data-driven analytics, machine learning, and today's algorithmic culture. This interview was conducted by Dr. Miranda Melcher whose book focuses on post-conflict military integration, understanding treaty negotiation and implementation in civil war contexts, with qualitative analysis of the Angolan and Mozambican civil wars. You can find Miranda's interviews on New Books with Miranda Melcher, wherever you get your podcasts.  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

Since the advent of computers, society has fantasized about conversing with machines. In Divination Engines: Natural Language Processing, Artificial Intelligence, and the Making of Algorithmic Culture (University of Chicago Press, 2026), Dr. Xiaochang Li shows readers how that dream both fueled the demand for data and set the stage for today's generative AI.  With original research and clear explanations, Dr. Li elucidates the origins of what's known as natural language processing (NLP) and the heated twentieth-century debates between computer scientists, linguists, and communication engineers that shaped today's technology. Starting with early devices that recorded, analyzed, and attempted to interpret human speech, she demonstrates how computer speech recognition, particularly efforts led by Bell Labs and IBM, advanced technology by deemphasizing linguistic meaning in favor of statistical prediction. In other words, researchers gradually abandoned systems that sought to understand human language, opting instead for work-arounds that simply predicted patterns in speech and text data. That solution became incredibly and surprisingly adaptable. As Dr. Li reveals, transforming linguistic questions into engineering ones ushered in the routine operation of search engines, spam filters, and the varied content sorting and recommendation mechanisms that regulate the access, circulation, and legitimacy of information across every platform. But this has all come at the cost of forever requiring copious and ever-growing amounts of new data. At its core, Divination Engines illuminates how the artifacts of human communication—speech, text, and images—have become both the fodder for and products of computers. This connection between communication and computation, Li shows, has given rise to data-driven analytics, machine learning, and today's algorithmic culture. This interview was conducted by Dr. Miranda Melcher whose book focuses on post-conflict military integration, understanding treaty negotiation and implementation in civil war contexts, with qualitative analysis of the Angolan and Mozambican civil wars. You can find Miranda's interviews on New Books with Miranda Melcher, wherever you get your podcasts.  Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/history

Take a Network Break! We start with listener followup about how Device Bound Session Credentials could thwart session cookie theft, and then highlight a string of critical vulnerabilities in IBM’s AIX. On the news front, Nvidia has reportedly bought Hugging Face for $12.9 billion, Nvidia and AWS team up on GPUs and physical AI, and... Read more »

Zum 15-jährigen Jubiläum von Stay Forever haben sich Gunnar und Chris ein besonderes Spiel ausgesucht. Also: jeder eines. Denn wie schon vor fünf Jahren beschenken wir uns gegenseitig mit einer Stay-Forever-Folge. Und so hat jeder von uns jeweils ein Spiel gewählt, an das er warme Erinnerungen hat, aber das eigentlich zu unbedeutend für eine SF-Hauptfolge wäre. Dies ist die Folge, die sich Chris gewünscht hat: Alley Cat ist ein frühes Jump&Run für die Atari 400/800-Geräte, das über einen Deal mit IBM für den PCJr. portiert wurde und dann auf den PCs der 80er im Wesentlichen per Raubkopie Verbreitung fand. Der Titel ist ein Solowerk von Bill Willams, dessen tragische Lebensgeschichte auch Thema in der Folge ist.

Keith Wyche is a veteran Fortune 500 executive with four decades of senior leadership experience at companies including AT&T, IBM, Pitney Bowes, and Walmart. He currently serves as an independent director on the boards of Brinks and Internet Sciences and is the bestselling author of Uncommon Leadership, a blueprint for restoring integrity, trust, and people-centered leadership. In this episode, Keith shares lessons from his corporate career, explains what it really takes to climb the corporate ladder, and breaks down why performance alone isn't enough to succeed. On this episode we talk about: The sales and mentorship lessons Keith learned early in his career Why performance is only 50% of the equation for career advancement—and why exposure and perception matter How to intentionally build a personal brand and become known for adding value The importance of networking, relationships, and having people who can advocate for you Keith's leadership philosophy of competency, character, and consistency Top 3 Takeaways Your performance isn't the whole career equation. Keith explains that performance accounts for roughly 50% of professional success, while exposure and perception make up the other half. You need people to know who you are, what you bring to the table, and what you are known for. You already have a personal brand—build it intentionally. Whether you realize it or not, people have associations with you. Decide what you want to be known for and consistently reinforce that reputation through your actions and relationships. Trust is built through competency, character, and consistency. Keith's formula for earning trust requires all three. Being charismatic isn't enough; effective leaders create followership by consistently demonstrating competence and character. Notable Quotes "We all have a brand whether we realize it or not." "The equation to develop and earn trust from people is three things: competency times character times consistency." "Nobody, Travis, breaks through that glass ceiling on their own. Somebody who's already on the other side has to see you, recognize your value, and pull you through." Connect with Keith Wyche: LinkedIn: Keith Wyche Instagram: @therealkeithwyche Substack: Keith R. Wyche Other: KeithWyche.com A Word from Our Sponsors: - The most successful business owners don't do it all themselves — they delegate. Upwork lets you build a team of highly skilled specialists for every function your business needs, so you can focus on what you do best and let experts handle the rest. Visit Upwork.com right now and post your job for free! - Go to Leesa.com for 30% OFF select mattresses (through September 13, 2026) PLUS get an extra $50 off with promo code TMM, exclusive for my listeners Learn more about your ad choices. Visit megaphone.fm/adchoices

Listen and subscribe to Money Making Conversations on iHeartRadio, Apple Podcasts, Spotify, www.moneymakingconversations.com/subscribe/ or wherever you listen to podcasts. New Money Making Conversations episodes drop daily. I want to alert you, so you don’t miss out on expert analysis and insider perspectives from my guests who provide tips that can help you uplift the community, improve your financial planning, motivation, or advice on how to be a successful entrepreneur. Keep winning! The core of Rushion McDonald's message is simple: success is not determined by age, circumstances, or luck. It is driven by mindset, consistency, accountability, and a willingness to take action. Purpose of the Presentation The presentation was designed to: Inspire people to stop using age as an excuse. Encourage accountability and self-reflection. Teach the value of creating and managing a personal brand. Emphasize the importance of health, family, and work-life balance. Provide actionable strategies for career and business growth. Help entrepreneurs recognize missed opportunities. Motivate listeners to create a plan for success and follow through. Key Takeaways 1. Age Is Not a Barrier to Success McDonald challenges the idea that success must happen by a certain age. He argues that everyone has a unique timeline and should focus on progress rather than comparing themselves to societal expectations. 2. Live Your Own Life There is no such thing as a perfect life. Success comes from creating a life that aligns with your goals, values, and aspirations. 3. Develop Hobbies and Interests Having a hobby provides balance, reduces stress, and creates opportunities for personal fulfillment. McDonald shares how baking and cooking became important outlets in his life. 4. Prioritize Health Success is difficult to sustain without good physical and mental health. Healthy habits, proper nutrition, and self-care should be priorities. 5. Make Time for Family and Vacations McDonald discusses how fear of stepping away from work once prevented him from taking vacations. He learned that rest, family time, and personal experiences are essential for long-term success. 6. Stop Letting Fear Control Decisions Fear often prevents people from taking action, pursuing opportunities, or making necessary changes. Personal growth begins when individuals move beyond self-imposed limitations. 7. Accountability Creates Opportunity A story from his IBM career illustrates how personal accountability changed his trajectory. Rather than blaming external factors, he learned to focus on improving himself and defining clear goals. 8. Professional Standards Matter How people present themselves influences how others perceive their value and potential. Setting higher personal standards often leads to increased opportunities. 9. Put Business Agreements in Writing One of McDonald's strongest business lessons is that successful relationships and ventures require documentation, structure, and professionalism. 10. Everyone Has a Personal Brand Whether you're an employee, entrepreneur, or executive, you are constantly creating a brand. Your reliability, appearance, communication, and consistency shape how others see you. 11. Build Your Brand Through Consistency Strong brands are predictable and dependable. Showing up on time, delivering quality work, and maintaining standards build trust and credibility. 12. Market Yourself McDonald encourages listeners to confidently communicate their value and accomplishments. In today's digital world, people must be willing to promote their strengths and expertise. 13. Be an Eagle, Not a Chicken One of the presentation's most memorable analogies contrasts eagles and chickens. Eagles represent ambition, excellence, leadership, and growth, while chickens symbolize settling for routine, low expectations, and mediocrity. 14. Create a Roadmap for Success McDonald outlines a simple framework for achievement: Set a goal. Make a plan. Get to work. Stick to it. Reach the goal. 15. Success Requires Communication Strong communication skills are critical in business and life. Listening is just as important as speaking. 16. Trust Is Built Through Consistency People trust individuals and brands that consistently deliver value and meet expectations. 17. Eliminate Bad Habits and Build Positive Systems McDonald encourages listeners to write down goals, find mentors, create vision boards, and remove behaviors that hinder growth. Notable Quotes On Success "Stop reading other people's success stories and start planning your own." On Age "Don't let your age be an excuse." On Life "There's no such thing as a perfect life. The life you're trying to live is your life." On Health "Health matters." On Family "You better make time for yourself. Make time for your family." On Opportunity "You have to capitalize on your success." On Accountability "Rashawn McDonald was tripping. That's the problem." On Business "If you don't get it in writing, it's going to go away." On Branding "You are a brand. You are a product. You are a walking, talking product." On Consistency "It's called consistency. That's what a brand is all about." On Greatness "Why can't you shout out your greatness?" On Standards "You have to set your own standards." On Personal Growth "Stop planning your death and start planning your success." On Experience "Turn that experience into cash." On Goal Setting "Set a goal. Make the plan. Get to work. Stick to it. Reach the goal." On Communication "Communication begins with listening." On Trust "Trust is built through consistency." On Winning "Put down your stop sign so you can start winning." Bottom Line Rushion McDonald's presentation is a motivational blueprint for personal and professional success. Through lessons on accountability, branding, communication, planning, and self-discipline, he challenges listeners to stop making excuses and start taking ownership of their future. His ultimate message is clear: build standards, create a plan, stay consistent, and stop waiting for success to happen. Create it. #SHMS #STRAW #BEST Money Making Conversations Master Class with Rushion McDonald is America's premier entrepreneurship, business leadership, financial literacy, and wealth-building podcast featuring successful entrepreneurs, executives, founders, celebrities, and industry experts sharing actionable insights for professional and financial success. Business Podcast Entrepreneurship Small Business Business Growth Financial Literacy Wealth Building Black Entrepreneurs Minority Business Leadership Executive Leadership Business Funding Marketing Strategies Personal Development Startup Advice Sales Training CEO Interviews Founder Stories Professional Development Economic Empowerment Business Success Networking Brand Building Innovation How to start a business Small business funding Entrepreneur success stories Business leadership podcast Wealth building strategies Black entrepreneur podcast Minority business development Marketing for small businesses Business growth strategies Startup funding opportunities Executive leadership training Financial literacy education Success mindset podcastSupport the show: https://www.steveharveyfm.com/See omnystudio.com/listener for privacy information.

Listen and subscribe to Money Making Conversations on iHeartRadio, Apple Podcasts, Spotify, www.moneymakingconversations.com/subscribe/ or wherever you listen to podcasts. New Money Making Conversations episodes drop daily. I want to alert you, so you don’t miss out on expert analysis and insider perspectives from my guests who provide tips that can help you uplift the community, improve your financial planning, motivation, or advice on how to be a successful entrepreneur. Keep winning! The core of Rushion McDonald's message is simple: success is not determined by age, circumstances, or luck. It is driven by mindset, consistency, accountability, and a willingness to take action. Purpose of the Presentation The presentation was designed to: Inspire people to stop using age as an excuse. Encourage accountability and self-reflection. Teach the value of creating and managing a personal brand. Emphasize the importance of health, family, and work-life balance. Provide actionable strategies for career and business growth. Help entrepreneurs recognize missed opportunities. Motivate listeners to create a plan for success and follow through. Key Takeaways 1. Age Is Not a Barrier to Success McDonald challenges the idea that success must happen by a certain age. He argues that everyone has a unique timeline and should focus on progress rather than comparing themselves to societal expectations. 2. Live Your Own Life There is no such thing as a perfect life. Success comes from creating a life that aligns with your goals, values, and aspirations. 3. Develop Hobbies and Interests Having a hobby provides balance, reduces stress, and creates opportunities for personal fulfillment. McDonald shares how baking and cooking became important outlets in his life. 4. Prioritize Health Success is difficult to sustain without good physical and mental health. Healthy habits, proper nutrition, and self-care should be priorities. 5. Make Time for Family and Vacations McDonald discusses how fear of stepping away from work once prevented him from taking vacations. He learned that rest, family time, and personal experiences are essential for long-term success. 6. Stop Letting Fear Control Decisions Fear often prevents people from taking action, pursuing opportunities, or making necessary changes. Personal growth begins when individuals move beyond self-imposed limitations. 7. Accountability Creates Opportunity A story from his IBM career illustrates how personal accountability changed his trajectory. Rather than blaming external factors, he learned to focus on improving himself and defining clear goals. 8. Professional Standards Matter How people present themselves influences how others perceive their value and potential. Setting higher personal standards often leads to increased opportunities. 9. Put Business Agreements in Writing One of McDonald's strongest business lessons is that successful relationships and ventures require documentation, structure, and professionalism. 10. Everyone Has a Personal Brand Whether you're an employee, entrepreneur, or executive, you are constantly creating a brand. Your reliability, appearance, communication, and consistency shape how others see you. 11. Build Your Brand Through Consistency Strong brands are predictable and dependable. Showing up on time, delivering quality work, and maintaining standards build trust and credibility. 12. Market Yourself McDonald encourages listeners to confidently communicate their value and accomplishments. In today's digital world, people must be willing to promote their strengths and expertise. 13. Be an Eagle, Not a Chicken One of the presentation's most memorable analogies contrasts eagles and chickens. Eagles represent ambition, excellence, leadership, and growth, while chickens symbolize settling for routine, low expectations, and mediocrity. 14. Create a Roadmap for Success McDonald outlines a simple framework for achievement: Set a goal. Make a plan. Get to work. Stick to it. Reach the goal. 15. Success Requires Communication Strong communication skills are critical in business and life. Listening is just as important as speaking. 16. Trust Is Built Through Consistency People trust individuals and brands that consistently deliver value and meet expectations. 17. Eliminate Bad Habits and Build Positive Systems McDonald encourages listeners to write down goals, find mentors, create vision boards, and remove behaviors that hinder growth. Notable Quotes On Success "Stop reading other people's success stories and start planning your own." On Age "Don't let your age be an excuse." On Life "There's no such thing as a perfect life. The life you're trying to live is your life." On Health "Health matters." On Family "You better make time for yourself. Make time for your family." On Opportunity "You have to capitalize on your success." On Accountability "Rashawn McDonald was tripping. That's the problem." On Business "If you don't get it in writing, it's going to go away." On Branding "You are a brand. You are a product. You are a walking, talking product." On Consistency "It's called consistency. That's what a brand is all about." On Greatness "Why can't you shout out your greatness?" On Standards "You have to set your own standards." On Personal Growth "Stop planning your death and start planning your success." On Experience "Turn that experience into cash." On Goal Setting "Set a goal. Make the plan. Get to work. Stick to it. Reach the goal." On Communication "Communication begins with listening." On Trust "Trust is built through consistency." On Winning "Put down your stop sign so you can start winning." Bottom Line Rushion McDonald's presentation is a motivational blueprint for personal and professional success. Through lessons on accountability, branding, communication, planning, and self-discipline, he challenges listeners to stop making excuses and start taking ownership of their future. His ultimate message is clear: build standards, create a plan, stay consistent, and stop waiting for success to happen. Create it. #SHMS #STRAW #BEST Money Making Conversations Master Class with Rushion McDonald is America's premier entrepreneurship, business leadership, financial literacy, and wealth-building podcast featuring successful entrepreneurs, executives, founders, celebrities, and industry experts sharing actionable insights for professional and financial success. Business Podcast Entrepreneurship Small Business Business Growth Financial Literacy Wealth Building Black Entrepreneurs Minority Business Leadership Executive Leadership Business Funding Marketing Strategies Personal Development Startup Advice Sales Training CEO Interviews Founder Stories Professional Development Economic Empowerment Business Success Networking Brand Building Innovation How to start a business Small business funding Entrepreneur success stories Business leadership podcast Wealth building strategies Black entrepreneur podcast Minority business development Marketing for small businesses Business growth strategies Startup funding opportunities Executive leadership training Financial literacy education Success mindset podcastSee omnystudio.com/listener for privacy information.