Podcasts about Hardware

Are your fleets investing in the wrong AI dashcam technology? Nuclear verdicts and climbing insurance costs mean you can't afford to treat dashcams like commodity hardware. Dr. Stefan Heck, CEO of Nauto, explains the critical difference between reactive and predictive AI, highlighting how advanced systems can prevent collisions and save lives. Learn why accuracy, speed of detection, and real-time driver coaching are crucial for true safety. Follow the FreightWaves Today Podcast Other FreightWaves Shows Learn more about your ad choices. Visit megaphone.fm/adchoices

What if the biggest bottleneck in hardware design isn't your engineer's skill — it's the sheer volume of manual work standing between a great idea and a working schematic? And once you decide to embrace AI-assisted design, how do you make sure the output is actually trustworthy enough to build from? What you'll learn… (00:12) Why fragmented workflows hit SMB hardware teams hardest (02:39) The real cost of going from requirements to prototype without specialist support (07:33) How functional block-level design changes early decisions — including when a SOM beats building from scratch (12:04) Why system-level abstraction catches wrong-path decisions before they reach the schematic (14:39) The "rubber duck debugging" effect: how AI clarifies requirements before they become costly mistakes (17:54) The biggest AI misconception in hardware design — and why the engineer must own every decision (20:30) How CELUS's NXP collaboration delivers manufacturer-validated, human-in-the-loop solutions (25:05) Why abstraction-first tools help SMBs take on projects that would otherwise be out of reach (28:19) The CELUS Success Program: high-touch onboarding for SMBs on the Siemens instance More about the episode… In this episode of the Printed Circuit Podcast, host Steph Chavez welcomes back Antonio Becerra Esteban, VP of Customer Success at CELUS — a physicist-turned-engineer with experience at Infineon and Altium who now leads the team ensuring customers extract real value from the platform. The conversation tackles the fragmented, manual journey from requirements to schematic that burdens small hardware teams. Antonio explains how CELUS's functional block-level design approach lets engineers define system architectures, navigate component trade-offs with an AI assistant, and output fully-interconnected schematics — illustrating the point with a Linux-based HMI example where the right abstraction layer turns a complex MPU build into a simple SOM selection. On the trust question, Antonio is direct: the engineer must own every decision. CELUS backs this up with manufacturer-validated design blocks, transparent sourcing, and a human-in-the-loop process — putting engineers in the driving seat rather than asking them to ship whatever the model produces. SMBs can join CELUS' Success Program by sending an email to cs@celus.io. Connect with Steph Chavez: LinkedIn Website Connect with Antonio Becerra Esteban: LinkedIn CELUS Website

Dan, Vince, Sammy, and Jarrett hand out awards for the best and worst of the weekend.

Bickley and Marotta talk Diamondbacks, go through Social Studies, and hand out Hardware.

(0:00) Intro *Reference to the Boardroom Governance Summit at Limerick Lane Cellars, Healdsburg, California (Aug 26-27, 2026)  (2:12) About the podcast sponsor: The American College of Governance Counsel. (2:59) Start of interview.  (4:00) Origin Story of Emily, and Stewardship  (6:15) From Engineer to CEO  (7:14) Companies that she led: Elo Touch Systems (97-00), Capstone Turbine (02-03), Apexon (04-07) and NovaTorque (09-17). (9:50) Changing geopolitics of manufacturing (10:49) First Boards and Public Company Lessons (first board experience in Japan) "The soft skills are the hard part to do." (15:48) On serving in private VC-backed boards. "If you know one board, you know one board. I mean, they are all so different." (22:43) On serving in non-profit boards. "It's one of the best possible ways to get governance experience." (26:20) CEO Mistakes (32:03) Board Succession for leadership and skills. (35:33) Board Evaluations Done Right  (37:41) What Makes Great Directors. *reference to Leading Edge Stewardship, by Linda Riefler and Mayree Clark (Stanford Women on Boards). "Asking the right question, at the right time, in the right way." (39:57) AI and the Boardroom. (46:16) Innovation Versus Oversight. "The goal is informed oversight without operational interference" (49:34) Teaching Governance to Stanford Students  (52:17) Boards need to have a long-term orientation in this short-term world. (52:34) Books that have greatly influenced her life: The Bible Why Nations Fail: The Origins of Power, Prosperity, and Poverty, by Daron Acemoglu and James A. Robinson (2012) The Count of Monte Cristo by Alexandre Dumas (1846) (54:12) Her mentors. "[T]hey told me things I needed to hear in a way that I could hear them because it's easy to get defensive." (55:38) Quotes that she thinks of often or lives her life by. "Never doubt that a small group of thoughtful, committed, citizens can change the world. Indeed, it is the only thing that ever has.' by Margaret Mead. (56:43) An unusual habit or an absurd thing that she loves.  (57:30) The living person she most admires in governance: Bob Joss. Emily Liggett serves on the boards of Ultra Clean Technology and Materion Corporation. She also serves as Lecturer at Stanford GSB, where she teaches corporate governance and board leadership. You can follow Evan on social media at:X: @evanepsteinLinkedIn: https://www.linkedin.com/in/epsteinevan/ Substack: https://evanepstein.substack.com/__To support this podcast you can join as a subscriber of the Boardroom Governance Newsletter at https://evanepstein.substack.com/__Music/Soundtrack (found via Free Music Archive): Seeing The Future by Dexter Britain is licensed under a Attribution-Noncommercial-Share Alike 3.0 United States License

Joe Illidge Breaks Down Dakota's Legacy and the Future of Milestone in DC's New History of the DC Universe Comic book history is full of legendary moments, but few were as revolutionary as the arrival of Milestone Media in the 1990s. Created by industry visionaries including Dwayne McDuffie, Denys Cowan, Michael Davis, and Derek Dingle, Milestone introduced a wave of heroes that reflected communities and perspectives rarely seen in mainstream comics. Now, that legacy continues with New History of the DC Universe: The Dakota Incident #1, a powerful new anthology exploring Dakota City's place within the larger DC mythology. At the center of this project is Joe Illidge, a respected creative voice in the comics industry who has worked across editorial, writing, and cultural advocacy roles throughout his career. Illidge has long been connected to the spirit of Milestone storytelling — stories that combine superhero action with real-world themes about identity, community, and social change. In The Dakota Incident, the narrative digs deeper into the events surrounding Dakota City and the heroes who protect it, exploring how these characters intersect with the broader history of the DC Universe. For longtime fans, the story represents a powerful return to one of comics' most important cultural milestones. For new readers, it offers an opportunity to discover why characters like Static, Icon, Rocket, and Hardware remain so influential today. As Illidge and the creative team expand the mythology of Dakota, they also reaffirm something fans have always known: Milestone isn't just a comic imprint. It's a movement. YT: https://www.youtube.com/watch?v=C4vlc6tw7tw If you love comic book history, storytelling, and behind-the-scenes industry insights, this episode is for you. Subscribe for more creator interviews and comic book news! Follow Joe on Social Media at @illmasterone Get your copy of THE DAKOTA INCIDENT is #1 On Sale Now! Also check out ILLUMINOUS at https://www.illuminousideas.com. The Milestone Revolution: A Visual Timeline of Dakota City 1993 — Milestone Media Is Born In 1993, four visionary creators Dwayne McDuffie, Denys Cowan, Michael Davis, and Derek T. Dingle launched Milestone Media, a publishing initiative designed to bring new voices, authentic communities, and diverse perspectives into superhero comics. Partnering with DC Comics for distribution, Milestone quickly became one of the most culturally important imprints in comics history. Their mission was simple but revolutionary: Create Superheroes that reflected the REAL World! 1994 — Dakota City Debuts The world is introduced to Dakota City, a fictional urban setting inspired by real American cities. Four major series launch almost simultaneously: • Static – teenage hero Virgil Hawkins becomes the electrifying voice of a new generation • Icon – an alien with the perspective of a Black conservative intellectual • Hardware – a corporate genius turned armored vigilante • Blood Syndicate – a street-level gang of superpowered antiheroes These comics brought social commentary, urban realism, and cultural authenticity rarely seen in superhero books at the time. 2000 — Static Shock Hits Television The character Static explodes into mainstream pop culture with the animated series Static Shock. The show runs for four seasons and introduces Dakota City and its heroes to an entirely new generation of fans. For many viewers, Static Shock becomes their first Black teenage superhero role model on television. 2020 — Milestone Returns After years of absence, Milestone Media returns with a major revival initiative. New series reintroduce Dakota City for modern readers: • Static Season One • Icon and Rocket Season One • Hardware Season One The revival reconnects the characters to the modern DC Universe while maintaining the cultural themes that made Milestone iconic. 2026 — The Dakota Incident Expands the DC Universe   With New History of the DC Universe: The Dakota Incident #1, Dakota City's heroes are woven deeper into the mythology of the DC Universe. This anthology explores how Dakota's heroes and history intersect with the larger DC timeline expanding the legacy of Milestone while opening new doors for future storytelling. For longtime fans, it's a celebration of a revolutionary imprint. For new readers, it's a reminder that Dakota City remains one of the most important settings in comic book history. Thank you for Watching / Listening! We appreciate your support! Host Al Mega Follow on Twitter | Instagram | Facebook: @TheRealAlMega / @ComicCrusaders Make sure to Like/Share/Subscribe if you haven't yet Rumble/Twitch: ComicCrusaders YouTube: / comiccrusadersworld Visit the official Comic Crusaders Comic Book Shop: comiccrusaders.shop Visit the OFFICIAL Comic Crusaders Swag Shop at: comiccrusaders.us Main Site: https://www.comiccrusaders.com/​​​​ Edited/Produced/Directed by Al Mega Want to create amazing live streams like ours? Then look no further than StreamYard! The BEST and EASIEST to use Streaming Solution on Earth! Check it out at: : https://streamyard.com/pal/d/6492786798886912

Nach den umstrittenen Experimenten der Vorgänger kehrt die legendäre Shooter-Reihe mit Gears of War: E-Day endlich zu ihren Wurzeln zurück. Das Prequel schickt uns 14 Jahre vor den allerersten Teil und lässt uns die dreitägige Tragödie des Emergence Days hautnah miterleben. Felix diskutiert mit Tobi und Dimmy, warum die Rückkehr der Fan-Lieblinge Marcus und Dom sowie die strikte Absage an leere Open-World-Areale genau die richtige Entscheidung von Microsoft ist. Wir analysieren alle frischen Infos direkt von den Entwicklern zu den neuen Movement-Details, der von Grund auf neu gebauten Grafik-Pracht und dem gewohnt starken Koop-Modus. Alle Links zum GameStar Podcast und unseren Werbepartnern: https://linktr.ee/gamestarpodcast

Josh Swihart is the founder of ZODL: the Zcash Open Development Lab. Basically a for profit reincarnation of the old Electric Coin Company, which inherited the dev teams and projects. During his previous Bitcoin Takeover podcast appearance in November 2024 (S15 E62), Zcash was a struggling privacy project with very little support and a rather disappointing price action. In June 2026, Zcash is the rising star of the cryptocurrency market, with plans to scale to billions of users and ever-improving shielding technology. In this episode, we talk about the good, the bad, and the controversial moments in the recent history of Zcash... and why Bitcoin didn't activate Zerocash yet. Time stamps: 00:01:14 Intro: Josh Swihart returns after 20 months 00:02:07 Why Zcash is "in a class of its own" (and self-defeating) 00:03:28 Shielded note Q: the run on the Orchard pool before Iron Wood 00:05:22 What are shielded pools? Sprout, Sapling, Orchard explained 00:06:26 The Orchard vulnerability found by Taylor Hornby 00:06:48 Why Zcash matters to Bitcoin: Zerocoin, Zerocash, Halo 2 00:09:06 The secret: from near-delisting at $30 to near top 10 00:11:03 Governance battles, killing the dev fund, refocusing ECC 00:13:03 Peacemonger research and focusing on the first 100 users 00:14:09 Keystone, NEAR intents swaps, and shielded pool growth 00:15:23 Reflexivity and the macro case (Canadian truckers, seizures) 00:16:32 Cake Wallet, Vic Sharma, and the ZEC integration recognition problem 00:17:57 The Monero rivalry and the privacy renaissance 00:19:35 "Cypherpunk does not mean criminal": Samourai vs Wasabi 00:23:04 Railgun comparison and why fungibility matters 00:25:02 Zmap, Flexa, and spending shielded ZEC in stores 00:26:21 Buying lunch at Chipotle and a Ford F150 truck with Zcash 00:27:33 Giveaway setup + sponsors 00:30:32 Why is Zcash "lied about a ton"? 00:34:03 Debunking the low anonymity-set myth and DeFi integrations 00:35:48 "Main character syndrome," paid FUD, and the influencer claim 00:38:50 Uncorrelated price + maximalist FUD around the Orchard bug 00:40:40 The ethics of disclosure and Taylor Hornby's character 00:45:03 The security budget problem and Network Sustainability Module 00:46:56 Scaling Zcash: Tachyon, recursion, and off-chain services 00:49:35 Do shielded memos bloat the chain? 00:51:32 The shielded stablecoins / shielded assets debate 00:58:31 Last giveaway call + ZODL phone overheating 00:59:12 New user Q: where's the privacy when you spend? 01:01:02 Shielded vs transparent transactions explained 01:03:22 Number reveal and winners 01:06:39 Crypto Visa/Mastercard debit cards: winning or losing? 01:09:56 Has Bitcoin been co-opted? Adam Back and incentives 01:15:20 What stops Zcash from being co-opted like Bitcoin? 01:19:52 Decentralization and killing the trademark agreement 01:21:31 Many orgs now: Foundation, Shielded Labs, Tachyon, Valor 01:23:21 No funding from exchanges or mining pools 01:26:04 ZODL origin: Balaji, fundraising, and the ECC split 01:29:17 ZODL's business model: 50 bps on swaps 01:30:01 Hardware wallets: Keystone, Passport, Trezor Safe 7 01:34:07 How Slush discovered Bitcoin through Zooko 01:35:37 Zcash ASIC demand and decentralizing mining 01:38:51 ECC wind-down, the Bootstrap settlement, and dev funds 01:42:38 Thoughts on ZNS (Zcash Naming Service) 01:44:47 Living with the FUD and "Zionist coin" conspiracies 01:46:31 Why disclose the bug publicly? Transparency vs trust 01:48:18 Inside the emergency coordination with pools and exchanges 01:49:52 Echoes of Bitcoin's 2013 hard fork 01:51:49 Iron Wood and Tachyon upgrade timelines 01:53:31 Closing: the Zcash dance and where to follow Josh

We chose to spend our 101st episode celebrating and platforming Sage Hardware! It's not often we get to chat with people who blend diverse genres like metalcore, cybergrind, and vaporwave; and Shortstuf888 pulled someone that made perfect sense to fill the role. We started a few minutes late due to some technical difficulties, but we made sure to make time to cover a series of interesting and important topics, like breakcore, digital hardcore, and what it was like touring with a post-rock-influenced screamo band. Alex regaled us with the story behind BasshouseHTML's mantra "steal from big business", he got to share a geekout moment with Shiro about Justin Pearson's many projects, and Sage also mentioned a pivotal moment getting into producing electronic music thanks to his love of Lil Ugly Mane. During several moments, the trio expressed their love of Angel Marcloid's various projects. Alex mentioned that his father plays bassoon in a quartet that covers video game music; and the squad talked about what he learned about Japanese culture while touring in Japan. We had a lot of fun during our 101st episode, so tap in if you want to hear the skinny on Venetian masks, Maryland, West Virginia, and the subjectivity of art and music! You heard it on "Hot Takes"!   "Hot Takes" is a safe space for all opinions! Join the conversation at https://linktr.ee/hottakesvapor

On this episode of For Mac Eyes Only: Join Mike and Darren as they provide a rundown of Apple's sharing technologies and the confusion surrounding them. What are AirPlay, AirDrop, Universal Control, and Continuity? What do they do, how can they help us, and how to make sure they're on if you'd like to take advantage of them. Mike shares a FMEO Quick Tip for removing sensitive data from your photos. The episode wraps with Mike's Essential App pick: Cats Lock!

Daniel is joined by Dr. Andreas Kuehlmann, General Manager of Security Solutions at Arteris. He has over 35 years of experience in semiconductor design, software, and cybersecurity, including roles at IBM Research, UC Berkeley, Cadence, and Synopsys. Previously, he was CEO of Cycuity, which was acquired by Arteris. Dan explores… Read More

Artificial intelligence is moving faster than ever, but as AI models continue to grow in size and complexity, the challenges surrounding inference performance are becoming impossible to ignore. In this week's podcast, ElastixAI CEO Dr. Mohammad Rastegari and I chat about how we can overcome those challenges and why a different approach to AI infrastructure is necessary for the next generation of AI innovation. We also explore the key bottlenecks limiting inference performance, how ElastixAI is tackling these issues, and why FPGAs are emerging as a compelling platform for accelerating large language model inference.

Düstere Story-Ansätze wie in The Witcher, folgenschwere Konsequenzen wie in Baldur's Gate und ein simuliertes Handwerksleben wie in Kingdom Come? Das neue Fable will verdammt viel auf einmal sein, doch hinterlässt das erste Gameplay nach dem großen Reveal viele Fragezeichen. In diesem Talk analysieren Lea, Dimi und Micha, ob der gewagte Spagat zwischen epischer RPG-Tiefe und alberner Sandbox-Lebenssimulation wirklich gelingen kann – oder ob sich das Reboot am Ende völlig zwischen den Stühlen verrennt. Alle Links zum GameStar Podcast und unseren Werbepartnern: https://linktr.ee/gamestarpodcast

Tot de sterren en daar voorbij. SpaceX is nu van de belegger: het ruimtevaartbedrijf is genoteerd aan Wall Street. Het is de grootste beursgang aller tijden. Deze aflevering hoor je wat er achter de schermen van deze beursgang gebeurt. Hoe de prijs tot stand komt, hoe de toekomst van het aandeel eruit ziet en waar het geld verdiend gaat worden. Ook gaan we je voorstellen aan Gwynne Shotwell. Dat is de vrouw die de dagelijkse leiding op zich neemt (en dus niet Elon Musk). Het is ook de aflevering waar we kijken naar andere, aanstaande beursgangen. Die van Anthropic en OpenAI. Is daar onder particulieren nog wel geld voor? En welke beursgang wordt het meest succesvol? Genoeg over beursgangen, laten we het hebben over overnames! Adyen neemt een Amerikaans bedrijf over. We kijken of ze dat verder helpt. Hebben we het ook over een mogelijke overname van ING, in België. Te gast: Nico Inberg van De Aandeelhouder (die aandelen SpaceX kocht) BNR Beurs is een journalistiek onafhankelijke productie, mede mogelijk gemaakt door Saxo. Over de makers: Jelle Maasbach is presentator van BNR Beurs en freelance financieel journalist. Zijn favoriete aandeel om over te praten is Disney, maar daar lijkt hij de enige in te zijn. Sinds de eerste uitzending van BNR Beurs is 'ie er bij. Maxim van Mil is presentator van BNR Beurs en journalist bij BNR, waar hij zich focust op de financiële markten en ontwikkelingen in de tech-wereld. Je krijgt hem het meest enthousiast als hij kan praten over ASML, of oer-Hollandse bedrijven zoals Ahold of ABN Amro. Jorik Simonides is presentator van BNR Beurs, economieredacteur en verslaggever bij BNR. Hij wordt er vooral blij van als het een keer níet over AI gaat. Je hoort hem ook in de BNR-podcast Moerdijk: dorp van de rekening. Milou Brand is presentator van BNR Beurs, freelance podcastmaker en columnist bij het Financieele Dagblad. Jochem Visser is presentator van BNR Beurs, maakt Beursnerd XL en is redacteur bij de podcast Onder Curatoren. Vraag hem naar obscure zaken op financiële markten en hij vertelt je waarom het eigenlijk nóg leuker is dan je al dacht. Over de podcast: Met BNR Beurs ga je altijd voorbereid de nieuwe beursdag in. We praten je in een kleine 25 minuten bij over alle laatste ontwikkelingen op de handelsvloer. We blijven niet alleen bij de AEX of Wall Street, maar vertellen je ook waar nog meer kansen liggen. En we houden het niet bij de cijfers, maar zoeken ook iedere dag voor je naar duiding van scherpe gasten en experts. Of je nu een ervaren belegger bent of net begint met je eerste stappen op de beurs, de podcast biedt waardevolle inzichten voor je beleggingsstrategie. Door de focus op zowel de korte termijn als de lange termijn, helpt BNR Beurs luisteraars om de ruis van de markt te scheiden van de essentie. Van Musk tot Microsoft en van Ahold tot ASML. Wij vertellen je wat beleggers bezighoudt, wie de markten in beweging zet en wat dat betekent voor jouw beleggingsportefeuille.See omnystudio.com/listener for privacy information.

I Escaped Briarwood Hardware But the Night Shifts Never EndBecome a supporter of this podcast: https://www.spreaker.com/podcast/dark-mysteries-the-strange-and-unusual-podcast-2026--5684156/support.Darkest Mysteries Online

Tot de sterren en daar voorbij. SpaceX is nu van de belegger: het ruimtevaartbedrijf is genoteerd aan Wall Street. Het is de grootste beursgang aller tijden. Deze aflevering hoor je wat er achter de schermen van deze beursgang gebeurt. Hoe de prijs tot stand komt, hoe de toekomst van het aandeel eruit ziet en waar het geld verdiend gaat worden. Ook gaan we je voorstellen aan Gwynne Shotwell. Dat is de vrouw die de dagelijkse leiding op zich neemt (en dus niet Elon Musk). Het is ook de aflevering waar we kijken naar andere, aanstaande beursgangen. Die van Anthropic en OpenAI. Is daar onder particulieren nog wel geld voor? En welke beursgang wordt het meest succesvol? Genoeg over beursgangen, laten we het hebben over overnames! Adyen neemt een Amerikaans bedrijf over. We kijken of ze dat verder helpt. Hebben we het ook over een mogelijke overname van ING, in België. Te gast: Nico Inberg van De Aandeelhouder (die aandelen SpaceX kocht) BNR Beurs is een journalistiek onafhankelijke productie, mede mogelijk gemaakt door Saxo. Over de makers: Jelle Maasbach is presentator van BNR Beurs en freelance financieel journalist. Zijn favoriete aandeel om over te praten is Disney, maar daar lijkt hij de enige in te zijn. Sinds de eerste uitzending van BNR Beurs is 'ie er bij. Maxim van Mil is presentator van BNR Beurs en journalist bij BNR, waar hij zich focust op de financiële markten en ontwikkelingen in de tech-wereld. Je krijgt hem het meest enthousiast als hij kan praten over ASML, of oer-Hollandse bedrijven zoals Ahold of ABN Amro. Jorik Simonides is presentator van BNR Beurs, economieredacteur en verslaggever bij BNR. Hij wordt er vooral blij van als het een keer níet over AI gaat. Je hoort hem ook in de BNR-podcast Moerdijk: dorp van de rekening. Milou Brand is presentator van BNR Beurs, freelance podcastmaker en columnist bij het Financieele Dagblad. Jochem Visser is presentator van BNR Beurs, maakt Beursnerd XL en is redacteur bij de podcast Onder Curatoren. Vraag hem naar obscure zaken op financiële markten en hij vertelt je waarom het eigenlijk nóg leuker is dan je al dacht. Over de podcast: Met BNR Beurs ga je altijd voorbereid de nieuwe beursdag in. We praten je in een kleine 25 minuten bij over alle laatste ontwikkelingen op de handelsvloer. We blijven niet alleen bij de AEX of Wall Street, maar vertellen je ook waar nog meer kansen liggen. En we houden het niet bij de cijfers, maar zoeken ook iedere dag voor je naar duiding van scherpe gasten en experts. Of je nu een ervaren belegger bent of net begint met je eerste stappen op de beurs, de podcast biedt waardevolle inzichten voor je beleggingsstrategie. Door de focus op zowel de korte termijn als de lange termijn, helpt BNR Beurs luisteraars om de ruis van de markt te scheiden van de essentie. Van Musk tot Microsoft en van Ahold tot ASML. Wij vertellen je wat beleggers bezighoudt, wie de markten in beweging zet en wat dat betekent voor jouw beleggingsportefeuille.See omnystudio.com/listener for privacy information.

Are we prepared for the deployment of a functional quantum computer? This week, Technology Now is returning to the topic of post quantum cryptography. We ask why the deadline for migrating to PQC enabled systems has been moved up, we discover what a quantum computer actually needs to be cryptographically relevant, and we pose the question: when it comes to migrating your systems to quantum resistant forms of encryption, could it already be too late for some people to start?This is Technology Now, a weekly show from Hewlett Packard Enterprise. Every week, hosts Michael Bird and Sam Jarrell look at a story that's been making headlines, take a look at the technology behind it, and explain why it matters to organizations.

Xbox veröffentlicht doch wieder Konsolen-Exklusivspiele, PlayStation verwehrt dem PC seine Singleplayer-Spiele - und wir fühlen uns zurückversetzt ins Jahr 2005: Der Konsolenkrieg ist wieder da! Die eigentliche Revolution findet jedoch hinter den Kulissen statt - und das erkennt man daran, wen Microsoft gerade zum Xbox-Chefstrategen berufen hat: Matthew Ball. Alle Links zum GameStar Podcast und unseren Werbepartnern: https://linktr.ee/gamestarpodcast

Voor het eerst sinds 2023 verhoogt de Europese Centrale Bank de rente. Volgens ECB-baas Christine Lagarde en haar collega's is dat nodig, omdat de inflatie op een veel te hoog niveau ligt. Boosdoener: de oorlog in Iran. Deze aflevering kijken we wat deze verhoging (en eventueel andere verhogingen) voor je aandelen betekent. Welke bedrijven er last van krijgen en welke er juist winnen. En wat de stap van Kevin Warsh gaat zijn. Je weet wel, de nieuwe baas van de Amerikaanse centrale bank. Moet hij nu óók de rent verhogen? Verder hebben we het over Elon Musk in Brabant. Die spreekt het personeel van ASML toe. Musk brengt veel potentiële orders met zich mee, maar levert ook veel gezeik op voor de directie. Het personeel zit namelijk niet op hem te wachten. Nu we het toch over Brabant en chips hebben: Nederlandse startups krijgen een zak met geld van de overheid. Het kabinet stel namelijk meer geld beschikbaar voor investeringen in deeptech, zoals chip- en kwantumtechnologie. Er gaat nog eens 360 miljoen euro naar het zogeheten Deep Tech Fonds. Ook hoor je over Ryanair. Dat denkt er aan om mensen te laten betalen voor het toiletbezoek. En we hebben het over Oracle. Dat heeft een goed kwartaal achter de rug, maar beleggers vrezen voor wat komende gaat. Vooral over de investeringen die Oracle wil doen. Te gast: Jim Tehupuring van 1Vermogensbeheer BNR Beurs is een journalistiek onafhankelijke productie, mede mogelijk gemaakt door Saxo. Over de makers: Jelle Maasbach is presentator van BNR Beurs en freelance financieel journalist. Zijn favoriete aandeel om over te praten is Disney, maar daar lijkt hij de enige in te zijn. Sinds de eerste uitzending van BNR Beurs is 'ie er bij. Maxim van Mil is presentator van BNR Beurs en journalist bij BNR, waar hij zich focust op de financiële markten en ontwikkelingen in de tech-wereld. Je krijgt hem het meest enthousiast als hij kan praten over ASML, of oer-Hollandse bedrijven zoals Ahold of ABN Amro. Jorik Simonides is presentator van BNR Beurs, economieredacteur en verslaggever bij BNR. Hij wordt er vooral blij van als het een keer níet over AI gaat. Je hoort hem ook in de BNR-podcast Moerdijk: dorp van de rekening. Milou Brand is presentator van BNR Beurs, freelance podcastmaker en columnist bij het Financieele Dagblad. Jochem Visser is presentator van BNR Beurs, maakt Beursnerd XL en is redacteur bij de podcast Onder Curatoren. Vraag hem naar obscure zaken op financiële markten en hij vertelt je waarom het eigenlijk nóg leuker is dan je al dacht. Over de podcast: Met BNR Beurs ga je altijd voorbereid de nieuwe beursdag in. We praten je in een kleine 25 minuten bij over alle laatste ontwikkelingen op de handelsvloer. We blijven niet alleen bij de AEX of Wall Street, maar vertellen je ook waar nog meer kansen liggen. En we houden het niet bij de cijfers, maar zoeken ook iedere dag voor je naar duiding van scherpe gasten en experts. Of je nu een ervaren belegger bent of net begint met je eerste stappen op de beurs, de podcast biedt waardevolle inzichten voor je beleggingsstrategie. Door de focus op zowel de korte termijn als de lange termijn, helpt BNR Beurs luisteraars om de ruis van de markt te scheiden van de essentie. Van Musk tot Microsoft en van Ahold tot ASML. Wij vertellen je wat beleggers bezighoudt, wie de markten in beweging zet en wat dat betekent voor jouw beleggingsportefeuille.See omnystudio.com/listener for privacy information.

Welcome back to the Menlo Midweek Podcast! We are in Week 3 of our series, "GLITCH: Being Human in a Machine World." This week, host Matt Summers and Phil EuBank are joined by a special guest: Paul, co-founder of Faith Work and Tech. In an episode titled "Hardware Crash," the three of them dive into the very real, physical nature of burnout. Living and working in the Bay Area, it's incredibly easy to operate as if we are just a "brain in a jar," ignoring our hardware (our physical bodies) to constantly serve our software (our productivity, careers, and output). But as we see in the story of the prophet Elijah in 1 Kings 19, when you crash hard, God doesn't send a software update or a productivity hack. Sometimes, the most spiritual thing you can do is take a nap and eat a snack.

Streaming games on Twitch has become really simple with the variety of tools available, capture cards and streaming software. In this episode the duo talk about the involved process of streaming retro games using period correct retro hardware

Das AES+ bring gegen Ende des Jahres einen der größten Arcade-Klassiker zurück auf den Markt: das Neo Geo! Die Hardware von SNK, die gleichzeitig Konsole und Spielhallen-Automat war, blickt bis dahin auf über 35 Jahre Geschichte inklusive Kult-Games und -Serien wie FATAL FURY, KING OF FIGHTERS, LAST RESORT, BIG TOURNAMENT GOLF, BLUE'S JOURNEY, WINDJAMMERS, SUPER SIDEKICKS, GAROU MARK OF THE WOLVES uvm.! Gregor bespricht mit Sia das umfangreiche Lineup und die verschiedene Hardware, die es gegeben hat. Werbung: https://linktr.ee/Podcastsrbtv Learn more about your ad choices. Visit megaphone.fm/adchoices

Get in Touch! Send us a message.The meeting went great. New construction, open concept, mixed materials. Navy island, warm wood tones, and very specific hardware: long, linear, brushed nickel pulls. Not round. They mentioned the round knobs three separate times in a way that made it clear they had feelings about it.You walked them out feeling genuinely good about this one. Then you went to the back office to hand it off.Twenty minutes. You covered the layout, the finishes, the lead times. Hardware: "Brushed nickel pulls. Long, linear. Specific aesthetic." And you moved on.Three weeks later the order comes through for review.Amerock round knobs. Oil-rubbed bronze.Nobody made this mistake on purpose. But every time information passes from one person to another, it degrades. You knew exactly what the clients meant. By the time you summarized it, some of the texture was gone. By the time your PM ordered from your summary, more was gone. By the time it reached the supplier — bronze and round.The issue isn't that your process is broken. It's that you became the filter. And when you're the filter, you're also the bottleneck, the single point of failure, and the person stuck in every handoff to keep information intact.In this episode, we talk about raw data transfer — and what changes when your team hears the client's actual words instead of your summary of them.What you'll hear:Why the telephone game costs you reorders, restock fees, and client trustHow sharing the transcript instead of the summary removes you as the single point of failureWhat happens to your team over time when they access the source directlyGet the AI Note-taking Guide → cabinetnotes.com

This show has been flagged as Clean by the host. 01 Introduction This is a follow up to my 4 part series on simple podcasting. In this episode I will discuss a number of experiments with audio filtering. These experiments were inspired by comments by listeners and by other discussions about audio on HPR. I am not an audio expert, so I am doing this partly in order to learn something, but mainly in order to have a bit of fun. I hope that you find this entertaining as well. In a comment on the first episode a listener mentioned something called Solocast and said that the method bore a resemblance to the method that I was using. Here is his comment -------------------- 02 Comment #3 posted on 2026-04-03 07:49:58 by Reto It reminds me about Solocast Hi Whiskeyjack, I really liked your podcast and the topic. I cannot remember about your last, but the sound quality of this one was good on my mobile speakers :) The concept reminded me about the program from Norrist (another host on HPR), while similar does it have some differences HPR 3496 https://hackerpublicradio.org/eps.php?id=3496 As I am not on the future feed, I look forward to your next episode. Cheers, Reto -------------------- 03 End of comment. I did not recall having heard the episode on Solocast, but this sounded very interesting. Solocast was in HPR episode 3496 and was released by norrist on the 27th of December 2021. I listened to that episode and does indeed use use the same basic concept of recording short segments of audio and combining them later instead of creating one big recording and editing it with an audio editor. 04 The main difference is that the work flow that I described involves a lot of manual steps, while Solocast is a short Python program that automates the entire process of presenting your script, recording the segments, combining the segments, and filtering and normalizing the result. I won't try to describe Solocast in detail, instead I would recommend just listening to HPR episode 3496 to get norrist's explanation directly. -------------------- 05 While I wanted to make sure that I credited norrist with having come up with this concept four years before I did, this won't be the focus of this episode. Instead I will talk about audio filtering and various experiments that I ran on several different methods. 06 While looking at the source code for Solocast I noticed that it used a filtering method that resembled one used by Jivetalk, a podcast production program that caught the attention of one of the HPR community news presenters. This method involves taking a sample of quiet audio where there is no speaking taking place, and then using this as input to a noise reduction filter which is applied to the voice recording. The filter subtracts the quiet sample from the voice audio, which should theoretically remove the ambient noise. 07 I decided to apply this method to a number of different audio test recordings which were recorded under different circumstances using different hardware. In this way I could see if the method worked equally well under all circumstances or if there were some sorts of noise which it was suited to and some sorts that were not. 08 While I was at it, I also picked several other filter methods to see how they worked as well. Potentially, some methods may be better under some conditions while other methods were better suited to others. -------------------- 09 I won't present all of my experiments, as that would be a bit dull to listen to. Instead I will describe each method and then present audio samples which illustrate my conclusions. There are two pieces of audio software involved, both of which were also used in my series on simple podcasting. 10 The first is Sox, spelled s o x , and which is short for Sound Exchange. Sox is a command line program for audio manipulation. Sox is Free Software, released under the GPLv2 or later. The other is FFMPEG, which is also a command line program. FFMPEG is also Free Software, released under the LGPL V 2.1 or later, and GPL v 2 or later. Sox actually uses FFMPEG for certain operations. -------------------- 11 Audio Hardware For recording hardware I used the following. 12 Maxwell Headset The first is a cheap Maxwell headset that has an electrical noise problem. Unfortunately I don't have a model number for this headset. I described this hardware, the noise problems that I had with it, and how I created filters to deal with the noise in my series on simple podcasting. Briefly though, this is a headset that has a build in microphone on a boom which allows the microphone to be positioned close to the mouth. It connects with a USB cable. 13 Borne Earpiece and In-line Microphone This is a set of earplugs that go in your ears and connected by wires and a very small microphone built into a small bulge in the cable. It connects using a 3.5mm jack. The model number seems to be BUD250-BL. 14 XTrike Headset This is a gaming headset similar to the Maxwell headset described above. The model number is GH-510 It uses a USB connection. 15 Yanmai Condenser Microphone This is a microphone that comes with a small tripod stand. The model number is SF-910 It uses a 3.5mm audio jack. -------------------- 16 This is not a review of the hardware. Rather, I was trying to create audio problems so that I could test ways to fix them. Therefore, do not take the above list as a recommendation of what to buy. However, you can see that I am not using any expensive audio hardware. If you want to make an HPR podcast, you do not need professional level hardware. -------------------- 17 Audio Samples The audio samples are as follows 18 Quiet This was recorded in a quiet environment at my desk. This is my normal podcasting environment and represents optimal conditions. The main reason for this method is to see how the various filter methods perform when dealing with the electrical noise from the Maxwell headset. 19 Small fan This is a small USB powered table fan approximately 10 cm in diameter. It was located roughly 40 cm or less to the left of the microphone, although this varies depending on the microphone. 20 Traffic This was along a busy street with traffic noise in the background. -------------------- 21 Filter Methods Sox noisered Filter with Audio Profile This method uses the Sox noisered filter. Here is a brief quote from the Sox documentation on this filter. Quote Reduce noise in the audio signal by profiling and filtering. This effect is moderately effective at removing consistent background noise such as hiss or hum. To use it, first run SoX with the noiseprof effect on a section of audio that ideally would contain silence but in fact contains noise - such sections are typically found at the beginning or the end of a recording. End of quote For these tests I recorded a separate noise profile to go with each test. -------------------- 22 Basic Manual Filter This is a basic high and low pass filter pair based on the work I had done in my previous series on simple podcasting. However, based on the tests that I have done for this episode, I decided to get a bit more aggressive in terms of filtering. I use a high pass filter of 120 Hz, and low pass filter of 8 kHz. The each filter is then applied twice to increase its effect. I also added band reject filters to deal specifically with 50 and 60 Hz line noise. -------------------- 23 Complex Manual Filter This uses the manually constructed filter described in my series on simple podcasting. This uses the basic manual filter plus a series of custom bandreject filters to fix specific noise problems with the Maxwell headset. -------------------- 24 FFMPEG afftdn Filter The documentation describes this as "Denoise audio samples with FFT." -------------------- 25 FFMPEG arnndn Filter The documentation describes this as "Reduce noise from speech using Recurrent Neural Networks." -------------------- 26 FFMPEG agate Filter I will pronounce this as "agate" for convenience. The documentation describes this as "A gate is mainly used to reduce lower parts of a signal. This kind of signal processing reduces disturbing noise between useful signals." -------------------- 27 Method The experimental method used was to take each noise sample and apply the different filter methods to it. Where there are parameters which can be adjusted, a script was used to generate a series of different sample files with different parameter values. Not all possible parameters were experimented with, as the goal is to see which method produces what sorts of results under different circumstances, not to get the best possible result for the samples that I happen to have. The method in each case was as follows 28 Step 1 Convert the audio file to FLAC if it is not already in that format. 29 Step 2 Apply a basic high and low pass filter described previously to each sample. The reason for this basic filtering is that it eliminates at least some undesired noise in a fairly fool proof manner, leaving less for the more advanced filter to deal with. This should allow for a better test of the filter under realistic conditions. 30 Step 3 Apply the noise reduction filter being tested. 31 Step 4 Normalize the filtered sample to 17 LUFS according to the EBU R128 standard. The EBU standard is described in my series on simple podcasting. Normalizing adjusts the audio signal to a desired loudness level. This allows for more more consistent sound levels and allows us to hear the results under realistic conditions. I normalize the audio individually for each sample as different recording hardware requires different amounts of loudness adjustment. This is different from the typical podcast process where normalizing takes place as the very last step in the process, but it was necessary in this case. 32 Step 5 Concatenate selected sample audio files to one another to allow for better review and comparing. -------------------- 33 Results The results are grouped according to the type of noise which is being mitigated. This allows for easier comparison of the effectiveness of each technique under different circumstances. I have only picked a few examples of interest out of the numerous experiments that I conducted. -------------------- 34 Quiet Recording Environment with Maxwell Headset This compares how well the various filtering methods work on the noise induced by the electronics in the Maxwell headset. This electronic noise consisted of a noise spike every 1 kHz. This should be representative of electronic noise caused by problems in recording hardware. 35 Manual Filter The manual filter applied a narrow band reject filter every 1 kHz from 1 kHz to 12 kHz. This completely removed the otherwise audible whine caused by the noise. 36 FFMPEG afftdn This method allows for setting a noise floor and then specifying how much the noise floor should be reduced by. The method is very sensitive to getting the noise floor correct for that recording. Set the floor too low and nothing happens. Set it too high, and some distortion results. However it seemed to be moderately effective, but it would seem to require checking it and possibly adjusting it each time it is used. 37 FFMPEG agate This method allows setting a noise floor and then suppressing all sound which falls below that level. This method is very sensitive to getting the noise floor correct for that recording. If set too low (or quiet), it is ineffective. If set too high (or loud), it distorts words which come after a pause, which would typically be between sentences. 38 When set correctly, it completely removes noise in the silences between sentences. However, the noise is still audible during speech. This is because the noise in this case is a higher frequency than normal speech, and so stands out more. It may not be a significant problem for noise which is closer to the main vocal frequency band. Overall, this method is not suitable for this particular problem. 39 FFMPEG arnndn This method used the standard model. A variety of different noise reduction models are available. I only tested it with one, std.rnnn It does not seem to introduce much distortion in the voice signal even with a high amount of mix parameter. 40 However, it is only slightly effective at removing the whine from the signal, even with a high amount of mix parameter. Overall, this method does not appear to be useful for this sort of noise problem. 41 Sox noisered Filter This was effective in removing noise between words, but noise can be heard while words are being spoken. It was better than agate however. 42 Overall Conclusion for the Maxwell Headset Noise When dealing with narrow noise bands that occur at known frequencies, the manual filter is leagues ahead of any of the other tested alternatives. 43 Sample Audio Here is a sample audio recording showing the best overall results The sample is repeated, first with only basic low and high pass filtering, and then with the manually constructed filtering. In the first sample you should hear a high pitched background whine. In the second sample, the high pitched whine is completely removed. 44 (Audio sample inserted here.) -------------------- 45 Traffic Noise This was recorded using the Borne in-line microphone connected to a mobile phone while walking along beside a busy street. This was in dry cool spring weather, and the road was paved with asphalt. This should be reasonably representative of podcasting while walking outdoors in a noisy environment. 46 Basic Manual Filter This used the basic manual filter with high and low pass filters. This did nothing very useful in this case as the signal was already filtered within those limits by the recording hardware anyway. The low sample rate of 8 kHz in the phone limited the upper frequency to 4 kHz. Recall that the sample rate has to be twice the highest frequency that you want to detect. Overall, this is not suitable for this sort of problem. 47 FFMPEG afftdn With a high noise floor, background noise is reduced, but not eliminated. There was not much distortion in the voice. This is only slightly useful for this sort of problem. 48 FFMPEG agate With a high threshhold, background noise is reduced, but not eliminated. There was some distortion in the voice. The background noise could also be heard when speaking, but because the frequency of the background signal was similar to the louder voice signal, it was not as noticeable as it would have been if the two were very different. This is moderately useful for this sort of problem. It may be more useful in situations where the background noise was not quite as loud. 49 FFMPEG arnndn With high amounts of noise reduction, much of the background noise is suppressed, but there is not a lot of distortion in the voice. The background traffic noise is still present, but is significantly less. This offers only a moderate improvement. 50 Sox noisered Filter With small amounts of noise reduction voice is clear but traffic noise is present as a very significant continuous warbling sound in the background. This is no improvement on the original and in fact could be seen as making it worse. With moderate amounts of noise reduction, traffic noise is mostly gone, but there are still various squeaks present. Voice is noticeably distorted. With large amounts of noise reduction, traffic noise is gone but voice is highly distorted. This is moderately useful for this sort of problem, but requires careful adjustment. 51 FFMPEG arnndn Followed by FFMPEG agate This combined two different filters. First, it used arnndn to suppress the background noise to a lower level without much voice distortion. Then it applied the agate filter to suppress the noise levels between words still further. This used the same amount of mix and threshold as was found to be most effective when each of these filters was used on its own. The background noise is almost completely gone while distortion of the voice signal is low. 52 Overall Conclusion for Traffic Noise The arnndn combined with agate filters was the most successful at suppressing background noise while limiting the amount of voice signal distortion. 53 Sample Audio Here is an audio sample for what I felt to be the best overall results, the arnndn filter combined with the agate filter. First is the original audio with basic filtering. This is followed with the same audio after being passed through the arnndn and agate filters. 54 (Insert arnndn plus agate audio sample here) 55 Another Sample Here is a second audio sample showing the Sox noisered profile based filter. I have included this to show how a profile based filter can make things worse if you are not careful how you use it. This repeats the test audio 4 times. The first is with basic filtering only. The second uses low amounts of noise reduction. The third uses moderate amounts of noise reduction. The fourth uses high amounts of noise reduction. 56 (Insert noisered audio sample here) -------------------- 57 Small Fan Noise with Yanmai Microphone This was recorded using the Yanmai condenser microphone. A small fan was set up behind and to the left of the microphone. This is intended to represent situations where someone may have a fan or air conditioner running in the background due to hot weather, or has a loud computer fan. 58 A condenser microphone was used for this test as they are more prone to picking up unwanted noise. However, for practical recording purposes, this sort of microphone is unsuitable for this type of environment. 59 Basic Manual Filter This used the basic manual filter with high and low pass filters. This did nothing useful as the fan noise was in the same frequency range as the voice signal. This may be of more help in cases where the noise is below the 120 Hz cut off used in the low pass filter. 60 FFMPEG afftdn With high amounts of noise reduction, much of the background noise is suppressed, but there is some distortion in the voice. The background fan noise is still present, but is significantly less. Overall this is moderately effective. 61 FFMPEG agate This was effective in removing noise between words, but noise can be heard while words are being spoken. However, this was a small voice sample and it is possible that more problems could occur. With less fan noise than was in this sample this technique may work much better. 62 FFMPEG arnndn With high amounts of noise reduction, much of the background noise is suppressed, but there is not a lot of distortion in the voice. The background fan noise is still present, but is significantly less. Overall this was fairly effective. 63 Sox noisered Filter With small amounts of noise reduction voice is clear but fan noise is present as a slight warbling sound in the background. With moderate amounts of noise reduction, fan noise is gone, but voice is somewhat distorted. With large amounts of noise reduction, fan noise is gone but voice is very distorted. 64 In general this method is fairly successful at dealing with this sort of problem. However, there is a trade off between background noise and voice quality. Getting that trade off correct takes experiment and judgment for each specific situation. 65 FFMPEG arnndn Followed by FFMPEG agate This combined two different filters. First, it used arnndn to suppress the background noise to a lower level without much voice distortion. Then it applied the agate filter to suppress the noise levels between words still further. This got rid of virtually all of the background noise between words. If you listen carefully however, there is a slight buzzing sound in the voice signal. 66 Overall Conclusion for Fan Noise with Yanmai Microphone. Of the methods tested, the arnndn followed by agate filter seemed to offer the most improvement for the least effort and least voice distortion. The arnndn filter on its own seemed the next most preferable to me despite leaving some fan noise in the background. 67 Audio Sample Here is an audio sample for what I felt to be the best overall results, the arnndn filter combined with the agate filter. First is the original audio with basic filtering. This is followed with the same audio after being passed through the arnndn and agate filters. 68 (Insert audio sample here) -------------------- 69 Small Fan Noise Recorded with Headset The following is an observation rather than a filtering technique. When a recording was made using the Maxwell headset and listened to on the headset later or with speakers, the fan was virtually inaudible. When the same recording was listened to with the XTrike headset, it was barely audible with careful listening and only identifiable as a fan because I knew it was there. 70 In situations where there is ambient noise, the best noise reduction technique is probably to move the microphone as close to your mouth as possible, although not directly in front of it, and reduce the gain if there is a gain adjustment in the microphone. This will work far better than trying to remove the noise later. If you are recording an HPR episode at a desk, then an inexpensive headset with boom mike may do the job just fine with minimal effort and expense. -------------------- 71 Conclusions I have tested three noise scenarios - Electronic noise in the audio hardware at specific frequencies. Recording outdoors with an inline microphone in a noisy traffic environment. A noisy fan creating background noise in an office. My conclusions on these are as follows. 72 Electronic Noise in the Audio Hardware at Specific Frequencies If you can use Audacity or some other means to find the frequencies which are causing the noise, the best solution, assuming you don't just replace the hardware, is to manually construct filters to remove those specific frequencies. This is the safest solution in terms of only doing what you tell it to and not producing unexpected surprises some time down the road when something changed in the environment. 73 If you are looking for a fairly automatic filtering method, the Sox noisered profile based filter seems to work fairly well. There is an equivalent filter in ffmpeg, but I did not include that in my experiments as it is harder to use in a script because it does not use a separate noise profile file. 74 Recording Outdoors with an Inline Microphone in a Noisy Traffic Environment. In this situation, the FFMPEG arnndn combined with agate filters seem to be the most successful. The Sox noisered filter may work, but at the cost of more distortion in the voice than is seen in the other methods. 75 An inherent problem with any profile based noise reduction method is that if the background noise is not constant, which it seldom is in that sort of environment, the profile may not represent the background noise which is present later on in the recording. This risks adding more distortion in the voice as the profile and later environments diverge. 76 However, for this application a different microphone that provided a better recording would appear to be advisable. A solution which brought the microphone much closer to the mouth and so resulted in a better ratio of voice signal compared to background noise would appear to be necessary, after which the question of what sort of noise reduction to use would need to be re-evaluated. 77 A Noisy Fan Creating Background Noise in an Office. The Sox noisered filter and the FFMPEG arnndn, afftdn, and agate methods all work to some degree. However, they all need correct selection of parameters to achieve the proper results. When I compared all four methods side by side, I found the arnndn combined with the agate filter to be preferable in terms of the trade off between background noise reduction and distortion of the voice signal. The arnndn filter on its own seemed the next most preferable to me despite leaving some fan noise in the background. 78 However, that is a subjective judgment of a specific noise sample when recorded using a specific microphone. Keep in mind though that many listeners will not be listening in an idea environment. They may be doing things where background noise is present rather than in a very quiet room and so may find a small amount of background noise in the recording to be less of a problem than distortion in the voice signal which may make some words harder to understand. 79 When I conducted the same experiment recorded with the XTrike headset I found that arnndn seemed to offer no noticeable improvement. This may be because the amount of audible fan noise was far less with the XTrike headset to begin with. In other words, there is no single best solution here, and you may have to be prepared to try different options to see which one works in your situation. The important thing is to avoid making things worse by applying filtering that is not appropriate for that situation. The best method may be to use a recording method that doesn't pick up the fan noise to begin with. This can include just using a gaming headset with boom mic. 80 I have one final observation on this point regarding headsets. The Maxwell headset has a foam cover over the microphone while the XTrike headset does not. There was some slight audible wind buffeting noise picked up by the XTrike headset that was not observed with the Maxwell. This seemed to cause particular problems with the Sox noisered profile based filter, as this noise was irregular and after filtering would show up as a warbling sound. If you use a headset and plan to use it in conjunction with a fan, it may be advisable to apply some sort of wind cover over it. 81 Combining Complex Filters In several cases I found that combining several complex filters offered better results than using any single one on its own. The basic strategy though is to first use a method which is good at reducing undesirable noise without introducing excessive voice distortion. Then apply a different filter which is good at reducing small levels of background noise to an even lower level while affecting the voice signal as little as possible. This uses the relative strengths of different filter types to compensate for the weaknesses of the other. 82 Different combinations of filters were most effective for different types of problems. I did not try all possible combinations however. Perhaps a further exploration of this would be worth doing in a later podcast. -------------------- 83 Case Study - Noise in Another HPR Episode Audio In the comments to my second episode on Simple Podcasting (which is HPR4618) where I discussed basic filtering, a couple of listeners brought up an interesting point. Antoine mentioned "declicking" in a post. -------------------- Vance replied 84 Antoine, thanks for mentioning the click removal capability in Audacity! While I already knew about its noise removal filter, I wasn't aware it also had click removal. It might have helped me for HPR4637, where some sort of electromagnetic signal was picked up by my microphone/recorder, a Zoom H2 (the tapping sound was *not* present in the room where I recorded). While click removal does seem to distort speech when applied to it (though to my ears, it doesn't sound as weird as when noise removal is done with speech), I could have applied the filter only to the pauses, where the "tapping" is most noticeable. I will consider doing this in the event that I'm not able to eliminate the source of interference in the future, which would be the best way to go. -------------------- 85 End of quote. I found this interesting as it sounded like another audio problem that could be experimented with. I found a sample of the episode which had the clicks and cut a copy of that segment out to experiment with. These sounds are a series of clicks, or "ticks" would be another way to describe them, in the quiet part of the audio between sentences or phrases. 86 Next I used Audacity to study the sound spectrum. I found a massive 60 Hz noise spike. However, my speakers won't reproduce sound that low, and filtering this out didn't reduce the clicks. The clicks turned out to be bursts of noise across the 100 to 800 Hz band, which is right where the main vocal band also is. This makes it difficult to filter based on frequency. The most promising approach would seem to be to filter based on sound level. 87 I tried all of the individual audio filter techniques mentioned in the other experiments above. None produced satisfactory results except for agate, which makes quiet audio quieter. This completely suppressed the clicks. However, when applied to the entire episode it also distorted the start of a few sentences which began with single short syllables. 88 The agate filter has a number of parameters which could be adjusted to try to deal with these cases, although I did not spend the time to do so. Another solution to this distortion problem is to simply not apply the filter to those parts of the audio which are affected. If you record the audio as a series of small individual files, it would be easy enough to filter before concatenating the files together while skipping those files which contain audio which is not suited to this method. Here are the results of the experiments. 89 FFMPEG afftdn This reduces the size of of the ticks, but they are still present. However, they may be reduced to a level which is considered acceptable. 90 FFMPEG agate This was very effective in removing ticks with the right parameters. However, it can introduce some voice distortion in the form of cutting out the start of a few sentences which began with single short syllables. This can be corrected with a very short "attack" parameter to turn off the filter when it detects sound above a set threshhold. 91 FFMPEG arnndn This was relatively ineffective. 92 Sox noisered This was effective in removing the sounds between phrases. However, it introduces some distortion in the voice signal. 93 I also tried combining filters. FFMPEG afftdn Followed by agate This combined two different filters. First, it used afftdn to suppress the background noise to a lower level without much voice distortion. Then it applied the agate filter to suppress the noise levels between words still further. This got rid of virtually all of the background noise between words. 94 Here is a short audio sample from HPR4637. First is the unfiltered audio. Second is the filtered audio using the combined afftdn plus agate filters. Since the "clicks" are very quiet, you may not hear them unless you are in quiet environment. Quite a few listeners would probably not be aware of the perceived audio problem in this episode if it had not been discussed here. None the less, it makes for an interesting experiment. Here it is: 95 (Insert sample audio here) 96 Overall Conclusion for Noise "Ticks" The afftdn combined with agate filters seemed to offer the best overall results when used with the right parameters. However, the author, Vance, speaks very clearly and evenly, and so his voice is ideally suited for use with this filter. Another author's voice may not be as suited to this filter. 97 The Sox noisered profile based filter offers various degrees of trade off between suppressing noise and distorting the voice signal. As to whether this is an acceptable trade off depends on the particular voice in question and how easily understood it is under normal circumstances with out additional distortion. The afftdn filter may be a fairly safe filter to use on its own while producing acceptable if not perfect output. -------------------- 98 Overall Conclusions I have presented only a few of the experiments that I conducted. My overall conclusion after all of this is that there is no universal audio filtering method that works best in all circumstances. There are instead a number of tools in the toolbox, and picking the right one for the job takes a bit of trial and error. 99 However, if you have a repeatable recording environment, then once you have decided what tool you need you should create a script for it so you can have a repeatable processing setup. These conclusions apply to voice podcasting. Music has a different set of criteria and techniques that work well with basic voice podcasting may produce poor results when applied to music which has a broader range of frequency and just as importantly, a broad range of loudness. 100 If you are used to using filters and effects in Audacity, many of the settings on those correspond to arguments in the command line version of ffmpeg. It is worth learning how to use ffmpeg directly to automate your recording process. 101 The experiments that I conducted were greatly assisted by writing scripts which created multiple versions of audio files with different settings, thereby allowing me to try many different alternatives relatively easily. It also allowed me to concatenate different audio samples into a single audio file and so listen to different versions in quick succession, making subjective listening judgments more reliable. 102 It is important to keep in mind in all this that I am playing with audio filtering mainly to have fun. It is not necessary to do any of this if you think your podcast episode sounds just fine without it. So, don't let any of what I have talked about in all this discourage you from simply recording a podcast and sending it in as is. I will include copies of the filters I have described here in the show notes. -------------------- 103 Related Matters Hardware Characterization Using Audio Signals I found it useful to characterize the hardware that I had in order to understand its limitations better before starting the experiments. This involved playing a signal out through a set of speakers and then recording it through a microphone. 104 I used two types of signal for this. One is type of signal is known as a "chirp" signal. This is a sine wave that steadily increases in frequency as it sweeps across the audio spectrum. The standard audio range is 20 Hz to 20 kHz, but for my purposes I limited the upper frequency to 15 kHz to save time as anything beyond that is not very useful for voice podcasts. 105 By recording the chirp signal with a microphone and analyzing it with a Fourier transform, I could quickly see what each device was capable of. See my previous series on simple podcasting for an explanation of what a Fourier transform is and what software to use to see the results of it. Here is a chirp signal. 106 (Insert Audio Sample Here) 107 In addition to a chirp signal, I also used a series of simple tones of specific frequencies. By using these tones of known frequency I could gain an understanding of the limitations of my speakers and headphones, and just as importantly, my own ears. By understanding these limitations I was able to narrow the range of frequencies that I need to deal with quite considerably and set the high and low pass filters accordingly. These tones are a series of flac files generated with ffmpeg. 108 Here is a a sample audio tone at a 2 kHz frequency. 109 (Insert Audio Sample Here) 110 Copies of the script to create the chirp signal and the tones are in the show notes. -------------------- 111 A "Not a Review" of some of the Hardware that I Used I said that I would not do a review of the hardware that I used. However, some of it deserves mention for either how good or bad it was. I will record each section using the hardware being described. 112 Maxwell Headset This is my original recording hardware. This is a headset with boom mic and USB connection. There is no model number on it, so I don't know the model. This probably cost somewhere between 10 and 25 dollars. The earpieces sit on the ears and do not fully enclose them. This makes it light weight and comfortable to wear for extended periods of time. It has a problem however with electronic noise consisting of a noise spike every 1 kHz. I was able to fix this with a series of filters using FFMPEG. Fixing this problem is what got me started in understanding audio. I will probably continue to use this headset to make podcasts. 113 XTrike Headset, Model GH-510 This is also a headset with boom mic and USB connection. I purchased this headset for the purposes of experimentation for this podcast episode. It cost $12.88. I found it to be surprisingly good for the price. It has fully enclosed ear pieces however, which may make it uncomfortable to wear in hot weather. I may try doing some of my future podcasting using this headset. 114 Borne Earpiece and In-line Microphone This is a set of earplugs that go in your ears and connected by wires and a very small microphone built into a small bulge in the cable. It connects using a 3.5mm jack. The model number seems to be BUD250-BL. It cost approximately $3.00. I bought several sets of these and use them for listening to podcasts from an MP3 player. The ear pieces are pretty good for listening with. The microphone works reasonably well when used in a quiet location. It is less good when in a noisy environment. It is very important however to secure the microphone to your lapel or other location reasonably near your mouth and to point the microphone (that is the small hole) outwards and not simply let it dangle freely. If you let it just hang, you will get poor quality and inconsistent audio. 115 Yanmai Condenser Microphone, Model SF-910 I purchased this microphone for the purposes of experimentation for this podcast episode. It cost $3.88. As it is a condenser microphone, it is prone to picking up background noise more and as such is probably not a good choice for podcasting by single person sitting at a desk. However, it is none the less a surprisingly good microphone for surprisingly little money. 116 iCan USB Microphone, Model M-306 I purchased this microphone for the purposes of experimentation for this podcast episode. This has a USB connection. This was also relatively inexpensive at $7.99, or roughly twice the price of the Yanmai microphone. Unlike the Yanmai however, it is absolutely wretched. There was such a high degree of distortion when recording through it that I found I could not use it in the fan experiments which I had bought it for. I ended up buying the Yanmai microphone for that instead. -------------------- 117 Easy Effects Software The techniques described so far all involve recording audio files and then processing them later to produce the desired result. This is probably the simplest and most straightforward way of doing things if you are making a typical podcast. However, there may be instances where you want to apply filtering or other effects on the "live" signal immediately and not after the fact. 118 There is audio software which can hook into your computer's audio system and do this with a live signal. For Linux, there is a package called "Easy Effects". This is Free Software and comes under a GPL V3 or later license. I installed it from the Debian repository under Ubuntu 24.04. 119 You can create various filters and even chain them together to combine them. I played with it a bit but do not know enough about it to discuss it seriously at this time. However, I thought it would be worth mentioning for the sake of those who may wish to try it out themselves. -------------------- 120 Episode Conclusion After having had some fun with audio and listening to other HPR members talk about audio, I thought I would have some more fun by playing with noise reduction filters. I have no intention of becoming an audio professional, but by doing some experiments I learned a few things and had some fun doing it. I hope that the rest of you found this interest as well. I will see you all again later in another episode of Hacker Public Radio. -------------------- Scripts Basic Filter This shows basic high and low pass filters ( 120 Hz and 8 kHz respectively) and band reject filters for 50 and 60 Hz. # The high and low pass filters. hlpfil="highpass=f=120, highpass=f=120, lowpass=f=8000, lowpass=f=8000" # Band reject filters filter for 60Hz and another for 50Hz. linefil="bandreject=f=60:width_type=h:w=20, bandreject=f=50:width_type=h:w=20" # Filter using ffmpeg. ffmpeg -i inputfile.flac -af "$hlpfil, $linefil" outputname.flac # ====================================================================== afftdn Filter # noisefloor should be between 20 and 80. noisefloor=$1 # Run the noise reduction. ffmpeg -i testrec-filtered.flac -af "afftdn=nr=10:nf=-""$noisefloor" tmptestrec.flac # ====================================================================== agate Filter # threshold shoud be between 10 and 80. threshold=$1 # Run the noise reduction. ffmpeg -i testrec-filtered.flac -af "agate=threshold=-"$threshold"dB:range=-60dB" tmptestrec.flac # ====================================================================== arnndn Filter # mix should be between 0 and 1. mix=$1 # Run the noise reduction. ffmpeg -i testrec-filtered.flac -af 'arnndn=model=std.rnnn:mix='"$mix" tmptestrec.flac # ====================================================================== sox noisered Filter # Generate the noise profile from a sample of background noise. sox silencefiltered.flac -n noiseprof noise.prof # nramount shoudl be between 0 and 1 sox testrec-filtered.flac noiseout-testrec.flac noisered noise.prof "$nramount" # ====================================================================== Manual Filter for Maxwell Headset Noise # Create a series of band reject filters, from 1 kHz to 11 kHz. ftemplate="bandreject=f=%s000:width_type=h:w=100" kilospikefil=$( seq 1 11 | xargs printf "$ftemplate," ) # Using ffmpeg ffmpeg -i testrec-filtered.flac -af "$kilospikefil" tmptestrec.flac # ====================================================================== Create a "chirp" signal # Start frequency. f0=20 # End frequency. f1=15000 # Duration of signal. duration=10 ffmpeg -f lavfi -i "aevalsrc=sin(2 * PI * (0.5 * ($f1 - $f0)/$duration * t^2 + ($f0 * t))):s=44100:d=$duration" -c:a flac -af "aformat=sample_fmts=s16" chirp.flac # ====================================================================== Generate Audio Tones toneout () { printf -v freqval "%05d" $1 ffmpeg -f lavfi -i "sine=frequency=$freqval:duration=3" tmptone.flac # Normalize ffmpeg -i tmptone.flac -af loudnorm=I=-17:TP=-2.0:LRA=4.0 -ar 44.1k -sample_fmt s16 tone$freqval.flac rm tmptone.flac } # List of frequencies in hertz. freqlist="50 60 100 120 130 140 150 160 170 200 500 1000 2000 3000 4000 5000 6000 7000 8000 9000" for freq in $( echo $freqlist ); do toneout $freq done # ====================================================================== Provide feedback on this episode.

In today's Tech3 from Moneycontrol, the government moves closer to launching one of India's largest cybersecurity audits, Cognizant says AI has helped uncover a $200 million sales pipeline hidden in employee interactions, GPUs are emerging as a new asset class for financing AI infrastructure, Meta partners with Reliance to build an AI-enabled data centre in Jamnagar, and Zoho makes its first major hardware push with the launch of its India-designed server, Nathu La.

Episode 302: This week's episode AI is moving beyond answering questions — it's beginning to rewrite the systems beneath itself, raising a critical question: who builds the brake pedal when autonomous agents start making decisions at scale? We pair that warning with tech that inspires and unsettles, from NASA's Nancy Grace Roman Telescope launching early to Microsoft testing office‑focused AI hardware that sparks immediate privacy concerns. Gwen Way also spotlights the Roro Lee Pocket AI and the real implications of recording‑consent laws and cloud‑stored data.We round things out with the cultural side of automation: Hinge's AI conversation starters, Instagram's AI support bot missteps, and Hasbro testing AI personalities for classic characters. A full hour of tech news with real‑world takeaways, not hype this is the episode you don't skip all coming up on TechTime Radio, with a little whiskey on the side.-- Full Episode Details:AI isn't just answering questions anymore, it's starting to write the system underneath itself, and that should make every tech user pause. We kick things off with a stark warning from inside the AI world: if the industry only has a gas pedal, what does a “brake pedal” look like, and who gets to press it when autonomous AI agents start making decisions at scale?From there, we keep it moving with tech that feels hopeful and tech that feels invasive. We talk NASA's Nancy Grace Roman Space Telescope launching ahead of schedule and why its massive field of view could reshape what we know about dark energy and galaxy formation. Then we come back down to Earth with Microsoft testing AI hardware for office workers, including a wearable badge concept that raises immediate privacy questions. Gwen Way joins us for Gadgets and Gear with the Roro Lee Pocket AI agent, a Kickstarter device designed to capture meeting notes and turn them into action plans, plus a straight talk moment about recording consent laws and where your data really goes when “the cloud” is involved.We also hit the cultural side of automation: Hinge rolling out AI to help people start dating conversations, Instagram's AI support bot creating a security mess, and Hasbro experimenting with AI chatbots for icons like Optimus Prime and Mr. Potato Head. Add a whiskey tasting of Arbeiki 1794 Highland Rye Single Grain Scotch and you've got a full hour of tech news for everyday people with real takeaways. If you like the show, subscribe, share it with a friend, and leave a review so more listeners can find us.Send us Fan MailSupport the show

We talk with Pete Staples, founder of Blue Clover Devices, about the often-overlooked challenge of flashing firmware in production. Pete shares insights from running a contract manufacturing operation in Shenzhen and explains why the handoff from engineering to manufacturing is more like "hucking it over a fence" than a smooth relay race. We explore the gap between engineers' assumptions about factory capabilities and the dusty reality of production floors. Pete discusses security challenges, the complexity of modern microcontroller programming, and how Blue Clover's Production Line Tool addresses the middle ground between expensive custom automation and ad-hoc bench setups. We also touch on provisioning, calibration workflows, and why the engineer who designs the product must also define how it's tested. Key Topics [02:30] The reality of factory firmware flashing - dusty PCs, hot glue, and cables everywhere [06:15] Security challenges: managing sensitive firmware and the "glass room" solution [09:45] The gap between engineer assumptions and factory reality - no, they don't have better equipment than you [14:20] In-circuit testing and bed-of-nails fixtures explained [22:30] The Production Line Tool: standardizing hardware and software across engineering and factory [28:00] Recording what matters: firmware versions, hardware serial numbers, and test results per device [31:45] Provisioning and security: webhooks, cloud databases, and managing secrets in production [38:20] The Test Agent: a companion device for running third-party software and complex programming workflows [43:00] Who should write the test plan? Why engineers must define "good enough" before production Notable Quotes "Engineers assume that the factories are a lot more sophisticated than they really are. In reality, it's a lot more like just hucking it over a fence and just hoping there's somebody there waiting." — Pete Staples "They show you their pick-and-place machine and 10-zone reflow oven, and you're like, 'wow, these guys are tipped off.' And then rarely do they say, 'oh, and here's where we do firmware flashing.' It's normally another floor of the building, dimly lit, dusty old PCs." — Pete Staples "The engineer responsible for the product has to not only engineer the product, but how it's tested. They can't just say, 'here's a bunch of design files, build it and let's see what happens.'" — Pete Staples Resources Mentioned Blue Clover Devices - Pete's company specializing in factory firmware flashing solutions Embedded World (Nuremberg) - Annual trade show in March where Blue Clover exhibits Embedded World North America (Anaheim) - North American version of Embedded World, September 22nd Kinetic (San Francisco) - Hardware-focused event put on by Hardware FYI You can find Jeff at https://jeffgable.com.You can find Luca at https://luca.engineer.Want to join the agile Embedded Slack? Click hereAre you looking for embedded-focused trainings? Head to https://agileembedded.academy/Ryan Torvik and Luca have started the Embedded AI podcast, check it out at https://embeddedaipodcast.com/

Drie-op-een-rij! Ook OpenAI heeft nu de papiertjes voor zijn beursgang ingediend. Wat moet het bedrijf allemaal doen om beleggers het hof te maken de komende maanden? Het lijkt er op dat ChatGPT wordt omgekat om veel meer zakelijke abonnementen te kunnen gaan leveren. Met andere woorden: het heeft goed naar de concurrent gekeken! Kan het Anthropic nog de pas af snijden of is het gedoemd daar achteraan te hobbelen? En aan de overkant staat Apple: Siri krijgt haar zoveelste make-over, maar nog veel belangrijker is toch al die hardware die het aandeel de lucht in moet blijven helpen Dat, en... Europese Chip Act? De topman van ASML bijt terug 200 bedrijven verslaan de MSCI World Index dankzij AI-hausse BYD groeit nauwelijks in China en maar topvrouw ziet het zonnig in De nieuwe auto van Spyker! De beursgang van nóg een AI-bedrijf: Perplexity Te gast: Robbert Manders van het Antaurus Europe Fund. BNR Beurs is een journalistiek onafhankelijke productie, mede mogelijk gemaakt door Saxo. Over de makers: Jelle Maasbach is presentator van BNR Beurs en freelance financieel journalist. Zijn favoriete aandeel om over te praten is Disney, maar daar lijkt hij de enige in te zijn. Sinds de eerste uitzending van BNR Beurs is 'ie er bij. Maxim van Mil is presentator van BNR Beurs en journalist bij BNR, waar hij zich focust op de financiële markten en ontwikkelingen in de tech-wereld. Je krijgt hem het meest enthousiast als hij kan praten over ASML, of oer-Hollandse bedrijven zoals Ahold of ABN Amro. Jorik Simonides is presentator van BNR Beurs, economieredacteur en verslaggever bij BNR. Hij wordt er vooral blij van als het een keer níet over AI gaat. Je hoort hem ook in de BNR-podcast Moerdijk: dorp van de rekening. Milou Brand is presentator van BNR Beurs, freelance podcastmaker en columnist bij het Financieele Dagblad. Jochem Visser is presentator van BNR Beurs, maakt Beursnerd XL en is redacteur bij de podcast Onder Curatoren. Vraag hem naar obscure zaken op financiële markten en hij vertelt je waarom het eigenlijk nóg leuker is dan je al dacht. Over de podcast: Met BNR Beurs ga je altijd voorbereid de nieuwe beursdag in. We praten je in een kleine 25 minuten bij over alle laatste ontwikkelingen op de handelsvloer. We blijven niet alleen bij de AEX of Wall Street, maar vertellen je ook waar nog meer kansen liggen. En we houden het niet bij de cijfers, maar zoeken ook iedere dag voor je naar duiding van scherpe gasten en experts. Of je nu een ervaren belegger bent of net begint met je eerste stappen op de beurs, de podcast biedt waardevolle inzichten voor je beleggingsstrategie. Door de focus op zowel de korte termijn als de lange termijn, helpt BNR Beurs luisteraars om de ruis van de markt te scheiden van de essentie. Van Musk tot Microsoft en van Ahold tot ASML. Wij vertellen je wat beleggers bezighoudt, wie de markten in beweging zet en wat dat betekent voor jouw beleggingsportefeuille.See omnystudio.com/listener for privacy information.

Diese Folge widmet sich den Begriffen Resilienz und Souveränität und versucht, sie aus dem abstrakten Raum in den Alltag zu holen; von der Logistik im Hamburger Hafen bis zur KI auf dem Gefechtsfeld. Der Talk ordnet ein, warum Verteidigung, Dual Use und kritische Infrastruktur derzeit zusammen gedacht werden müssen, und bleibt dabei mechanikorientiert statt wertend. Eine inhaltliche Beobachtung: Stellenweise bleibt es bei der Bestandsaufnahme; konkrete Beispiele, Zahlen oder ein Praxisfall hätten manche Thesen (etwa zu Edge-KI oder Token Economics) greifbarer gemacht.Die Haupt-LearningsResilienz und Souveränität sind Sammelbegriffe für viele konkrete Felder: Verteidigung, Dual Use, Wertschöpfungsketten, kritische Infrastruktur (Kritis), Logistik, Space und zunehmend auch Nachhaltigkeit („enkelfähig denken").Es geht nicht um Unabhängigkeit, sondern um Handlungsfähigkeit. Entscheidend ist, einseitige Abhängigkeiten zu erkennen und zu managen – etwa durch mehrere Zulieferer, eigene Tech-Stacks und neue Sourcing-Strategien.Krisen härten Technologie und beschleunigen Innovation. Unter realem Druck entstehen Drohnen, Sensorik und Edge/Federated AI, die robust erprobt und über Dual Use später auch zivil nutzbar sind.Militär denkt „Bottom-up", Big Tech „Top-down". Statt immer größerer Modelle und tokenbasierter Dauernutzung zählen ressourceneffiziente On-Prem-Lösungen, „Smart Force"- statt „Brute Force"-KI und spezialisierte Hardware.Ein starkes Ökosystem braucht drei Dinge: Mindset, Finanzierung und Talent. Eine klare Mission liefert das Mindset fast von selbst; europäische Fonds-Allianzen öffnen sich; Talente brauchen attraktive Perspektiven.Die Haltung gegenüber Verteidigung hat sich gedreht – von Tabuthema zu legitimem, teils patriotisch motiviertem Investitionsfeld.Innovation entsteht durch Technologiekonvergenz, an den Schnittstellen verschiedener Hardware-, Software- und Forschungsdisziplinen.Hamburg hat als Standort starke Karten: Exzellenzforschung, hohe Interaktionsdichte und die Rolle als zentraler Kritis-Standort (Hafen, Logistik).FazitEuropäische Souveränität ist kein kurzfristiges Krisenthema, sondern eine Daueraufgabe – und zugleich eine Chance, im Innovationswettbewerb wieder aufzuschließen. The Forge am Deep Tech Campus setzt hier an: Die Initiative vernetzt Forschung, Investoren und Startups in Hamburg und überregional, um aus vorhandenem Potenzial Handlungsfähigkeit zu machen. Die zentrale Botschaft der Folge: Abwarten ist keine Option – es gilt, ins Machen zu kommen. Wer mitwirken möchte, findet The Forge auf deeptech.hamburg.

Marotta and Tim Ring talk Cardinals, go through Social Studies, and hand out Hardware.

Vince, Tim, Sammy, and Jarrett hand out awards for the best and worst of the weekend.

In this episode of Tank Talks, Matt Cohen sits down with Aidan Madigan-Curtis, Partner at Eclipse, for a sharp conversation on physical AI, frontier tech, robotics, manufacturing, and the future of building in the real world. Aidan shares her unlikely path from a small mountain town in Penticton to Harvard, Bridgewater, Apple, Samsara, and now Eclipse, where she invests at the intersection of atoms and bits.She breaks down what factory floors taught her that most software-first founders miss, why physical AI is becoming one of the biggest venture capital opportunities of the next decade, and what the U.S. and Canada must understand about China's manufacturing advantage. From launching the first Apple Watch manufacturing lines to scaling Samsara's hardware operations and investing in autonomous excavation, robotics, energy, defense, and supply chain technology, Aidan brings a rare operator-investor perspective to one of the most important shifts happening in tech today.Buckle up to understand why the next wave of AI won't just live in software; it will reshape factories, robots, infrastructure, and the physical world around us.The Unlikely Path from Penticton to Harvard (00:04:25)Aidan shares the wild story of growing up in a tiny Canadian mountain town, applying to Harvard almost by accident, and nearly missing her acceptance letter because it sat undelivered in a PO box. She reflects on how community support, risk-taking, and a willingness to swing big shaped the rest of her career.Bridgewater, Systems Thinking, and Conviction Investing (00:09:00)Aidan explains how Bridgewater's fundamental, systematic approach to markets shaped how she evaluates venture opportunities today. She breaks down why Eclipse starts with deep theses, pressure-tests industries, and backs founders before the market fully understands where the world is going.The Factory Floor Lesson Every Founder Needs (00:17:27)Drawing from her time launching Apple Watch manufacturing lines, Aidan explains why the best founders must balance brutal honesty with extreme optimism. She argues that founders who get “high on their own supply” lose touch with reality, while founders without belief cannot rally a team to do the impossible.Why Physical AI Was the Bet Before It Was Cool (00:20:34)Aidan walks through her career pattern of choosing the “unsexy” path before it becomes obvious: Bridgewater before it was famous, Apple supply chain when software was eating the world, Samsara before industrial IoT was hot, and Eclipse before physical AI became a major venture category.China's “Vibe Manufacturing” Advantage (00:28:37)Aidan unpacks Eclipse's China Field Notes and explains what “vibe manufacturing” really means: a deeply layered, highly competitive, fast-moving manufacturing ecosystem that can turn ideas into physical products at extraordinary speed. She discusses China's compounding advantage in tooling, suppliers, human capital, robotics, and government-backed industrial competition.Where the U.S. Is Ahead and Behind in Robotics (00:37:18)Aidan breaks down the robotics race between the U.S. and China. She says the U.S. remains highly competitive in embodied AI, autonomy, and goal-oriented machine intelligence, but lags badly in manufacturing depth, actuators, magnets, physical iteration speed, and lower-level robotic control.The Robotics Data Problem (00:41:14)Aidan explains why video data alone is not enough to build general-purpose robotics. She discusses the need for proprioception, haptics, physics data, and real-world interaction data, plus why China's robotic data farms could become a major strategic advantage.Canada's Opportunity in AI, Energy, and Deep Tech (00:44:47)As a Canadian-born investor, Aidan lays out where Canada can win: talent attraction, smart immigration policy, abundant clean energy, AI infrastructure, university research, biotech, quantum, defense, and strategic government offtake. She argues Canada has the raw ingredients to become a major player if it moves with urgency.Eclipse's Interest in Canadian Founders (00:49:20)Aidan shares that Eclipse is already investing in Canada, including companies in Toronto and Vancouver, and is actively interested in deep tech and physical AI founders coming out of Canada's strongest ecosystems.About Aidan Madigan-CurtisAidan Madigan-Curtis is a Partner at Eclipse, where she invests in physical AI, robotics, manufacturing, energy, defense, supply chain, and frontier technology companies. Before Eclipse, she was an early executive at Samsara, helping scale the industrial IoT company from pre-product to public company. She previously worked on Apple's manufacturing team for the first Apple Watch and began her career at Bridgewater, where she developed a systems-thinking approach to markets and complex industries.Connect with Aidan Madigan-Curtis on LinkedIn: https://www.linkedin.com/in/aidan-madigan-curtis/Visit the Eclipse website: https://eclipse.capital/Connect with Matt Cohen on LinkedIn: https://ca.linkedin.com/in/matt-cohen1Visit the Ripple Ventures website: https://www.rippleventures.com/ This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit tanktalks.substack.com

Tony Fadell created the iPod, co-created the iPhone, and founded Nest (which he sold to Google for $3.2 billion). He's co-authored over 300 patents, was part of the legendary team at General Magic, and wrote one of the most important and inspiring books for builders, called Build.In our in-depth conversation, we discuss:1. The heated internal debates about whether the iPhone should have a physical keyboard2. Why opinion-based decisions are essential for v1 products3. Why marketing matters as much as the product itself, and how the iPod almost failed4. Why voice will eventually become the primary interface with AI5. Why cognitive surrender to AI is the biggest risk facing product builders today—Brought to you by:WorkOS—Make your app enterprise-ready, with SSO, SCIM, RBAC, and more: https://workos.com/lennyVanta—Automate compliance, manage risk, and accelerate trust with AI: https://vanta.com/lenny—Episode transcript: https://www.lennysnewsletter.com/p/father-of-the-ipod-and-iphone-on—Archive of all Lenny's Podcast transcripts: https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0—Where to find Tony Fadell:• X: https://x.com/tfadell• LinkedIn: https://www.linkedin.com/in/tonyfadell• Website: https://www.buildc.com—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Introduction to Tony Fadell(02:23) The Blackberry vs. iPhone keyboard debate(07:50) Micromanaging vs. kind lies: what great products actually need(15:57) The Nest thermostat and smoke alarm story(21:22) How to decide what's worth building: pain plus new technology(27:36) The three-generation rule: why nothing works the first time(34:20) The full customer journey: why marketing defines your product(40:53) The power of storytelling and the press-release-first approach(48:37) The evolution of product management and the builder role(50:27) Why AI-generated code creates brittle, unmaintainable products(58:00) Storytelling techniques(1:05:45) The next iPhone(1:13:15) Hardware is back(1:17:01) What Tony is most excited about(1:21:38) Working with Tony(1:25:36) Ethics, morals, and the responsibility of product builders(1:32:40) How to connect with Tony and Build Collective—References: https://www.lennysnewsletter.com/p/father-of-the-ipod-and-iphone-on—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.—Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com

Burnout is what happens when biology rebels against technology. We ignore our hardware (bodies) to serve the software (productivity). We revisit Elijah under the broom tree, a prophet who crashed hard. God didn't send a software update; He sent a nap and a snack. We will address trauma, the body keeping the score, and the "High Tech / Deep Touch" reality that we need physical restoration, not just spiritual ideas. Text Our Team (650) 600-0402 | Connect With Us

We're back! Tonight we're doing something special! We're going to start a challenge where everything is random and painful! ==== Special Thanks to Our Patrons! ==== https://thelinuxcast.org/patrons/ ===== Follow us

Our hardware hacker friend, Jamin Biconik, is back on Cloak & Dagger Correspondences! Herein, Jamin fills us in on all his mesh networking, drone, local, self-hosted AI projects… They also go into quite a deep dive on self-psychology, its relation to AI, and how this manifests in physical space and… The post Cloak & Dagger Correspondences #10: If It Smells Like Salmon, It Must Be Jamin (with Hardware Hacker, Jamin Biconik) appeared first on The Vonu Podcast.

- Counterpoint: LATAM Smartphone Shipments Up 2% in Q1FY26 - Counterpoint Sees Smartphone Shipments Dropping 14% YoY - Omdia and AppleInsider at Odds Over OLED MBP Launch Window - Ming-Chi Kuo Says Ternus Killed Apple Headset Development - Interest Drops on Apple Card Savings Account - New Neighbors for "Your Friends & Neighbors" Season-Three - Apple TV Drops a Trailer for "Lucky" - Sponsored by NordLayer: Get an exclusive offer - up to 22% off NordLayer yearly plans plus 10% on top with coupon code: macosken-10-NORDLAYER at nordlayer.com/macosken - Sponsored by Notion: Learn more about Notion's Developer Platform today at notion.com/macosken - Catch Ken on Mastodon - @macosken@mastodon.social - Send Ken an email: info@macosken.com - Chat with us on Patreon for as little as $1 a month. Support the show at Patreon.com/macosken

Joannis Orlandos stops by to chat about WendyOS, an operating system for bringing Swift and AI to robots, drones, and edge devices. We get into running Swift on NVIDIA Jetson and Raspberry Pi hardware, the future of cross-platform Swift across Android, Windows, and Wasm, and somehow end up arguing about whether you should let LLMs format your code at all.GuestJoannis OrlandosJoannis Orlandos (@joannis@fosstodon.org) - MastodonJoannis (Joannis Orlandos)Joannis Orlandos | LinkedInJoannis Orlandos (@joanniso.bsky.social) • BlueskyWendyOS — The open-source OS for Physical AIRelated LinksWendy Labs Inc. — GitHubWendyOS DocumentationSwift on Server — Joannis OrlandosHummingbird — Lightweight Swift web frameworkMLX — Apple's array framework for machine learningSwift Android Working Group — Swift ForumsBuild and Packaging Workgroup — Swift.orgSwift EvolutionBringing Swift to Android — GoodnotesRelated EpisodesSwift Server Workgroup with Joannis OrlandosSwift on Android with Marc Prud'hommeauxSwift, Server Side, Serverless with Sébastien StormacqChapters(00:00) - What Is WendyOS (05:15) - Swift, Hardware & Getting Started (16:18) - Swift Everywhere: Multi-Platform Future (21:24) - Swift on Windows, SQL Server & WWDC Preview (30:19) - AI, Skill Files & LLM Workflows (42:30) - Swift 6.4 & Wrap-Up WatchClick here to watch a video of this episode. TranscriptClick here to view the episode transcript. Support the Show ★ Support this podcast on Patreon ★  Thanks to our supporters: Thanks to our monthly supporters Steven Lipton  Welcome new supporters: Social MediaLinkedIn - @leogdionGitHub - @brightdigitGitHub - @leogdionMastodon - @leogdion@c.imYouTube - @brightdigitX - @leogdionX - @brightdigitCreditsMusic from https://filmmusic.io "Blippy Trance" by Kevin MacLeod (https://incompetech.com) License: CC BY (http://creativecommons.org/licenses/by/4.0/)

Nog een week en dan wordt SpaceX gelanceerd op Wall Street. De eerste tegenvaller moeten Elon Musk en consorten nu al incasseren: het ruimtevaartbedrijf wordt niet versnel opgenomen in de S&P-index. De beursuitbater maakt geen uitzondering (ook niet voor Anthropic en OpenAI trouwens) en wil winst zien. Dat is een probleem voor het geldverslindende bedrijf. Ondanks die tegenslag is er ook goed nieuws te melden. Persbureau Reuters zegt dat de vraag naar aandelen immens is. Begeleidende banken worden platgelegd met de vraag of ze aandelen hebben. De vraag is onverzadigbaar, aldus analisten. Deze aflevering duiken we in die bizarre wereld van Space X. Hebben we het ook over Heineken. Dat moet met een eeuwenoude traditie breken. Althans, dat willen aandeelhouders van het bedrijf. Nu eens geen insider meer, maar een buitenstaander die de nieuwe topman of topvrouw wordt. Ayden komt ook voorbij. Dat aandeel ging ineens heel hard naar beneden. Beleggers schrikken van een rapport dat over de betalingsverwerker rondgaat. De handel werd zelfs even stilgelegd. Ook Jensen Huang komt voorbij. Die moet gegrild worden door de Amerikaanse Senaat, wil senator Elizabeth Warren. Ze wil de baas van Nvidia alles vragen over de exportrestricties in China (en de trip die hij met president Trump naar dat land heeft afgelegd. Zoeken we ook uit of je nog wel wat hebt aan Nederlandse beursbedrijven. Nu bedrijven als AkzoNobel een overname blokkeren, kan je dan als belegger nog wel dromen van een overnamepremie? Te gast: Corné van Zeijl van Cardano BNR Beurs is een journalistiek onafhankelijke productie, mede mogelijk gemaakt door Saxo. Over de makers: Jelle Maasbach is presentator van BNR Beurs en freelance financieel journalist. Zijn favoriete aandeel om over te praten is Disney, maar daar lijkt hij de enige in te zijn. Sinds de eerste uitzending van BNR Beurs is 'ie er bij. Maxim van Mil is presentator van BNR Beurs en journalist bij BNR, waar hij zich focust op de financiële markten en ontwikkelingen in de tech-wereld. Je krijgt hem het meest enthousiast als hij kan praten over ASML, of oer-Hollandse bedrijven zoals Ahold of ABN Amro. Jorik Simonides is presentator van BNR Beurs, economieredacteur en verslaggever bij BNR. Hij wordt er vooral blij van als het een keer níet over AI gaat. Je hoort hem ook in de BNR-podcast Moerdijk: dorp van de rekening. Milou Brand is presentator van BNR Beurs, freelance podcastmaker en columnist bij het Financieele Dagblad. Jochem Visser is presentator van BNR Beurs, maakt Beursnerd XL en is redacteur bij de podcast Onder Curatoren. Vraag hem naar obscure zaken op financiële markten en hij vertelt je waarom het eigenlijk nóg leuker is dan je al dacht. Over de podcast: Met BNR Beurs ga je altijd voorbereid de nieuwe beursdag in. We praten je in een kleine 25 minuten bij over alle laatste ontwikkelingen op de handelsvloer. We blijven niet alleen bij de AEX of Wall Street, maar vertellen je ook waar nog meer kansen liggen. En we houden het niet bij de cijfers, maar zoeken ook iedere dag voor je naar duiding van scherpe gasten en experts. Of je nu een ervaren belegger bent of net begint met je eerste stappen op de beurs, de podcast biedt waardevolle inzichten voor je beleggingsstrategie. Door de focus op zowel de korte termijn als de lange termijn, helpt BNR Beurs luisteraars om de ruis van de markt te scheiden van de essentie. Van Musk tot Microsoft en van Ahold tot ASML. Wij vertellen je wat beleggers bezighoudt, wie de markten in beweging zet en wat dat betekent voor jouw beleggingsportefeuille. See omnystudio.com/listener for privacy information.

Pre-show:

Software companies are in the best position to benefit from AI expansion, says Ryan Kelly. He lists Microsoft (MSFT) and Salesforce (CRM) as two companies to add some of that AI muscle. In the hardware space, he considers TSMC (TSM) an "absolute essential" part of the supply chain and sees Micron (MU) having much more room to run after a 1,000% year-over-year rally. Ryan believes Nucor (NUE) will benefit inside and outside of the AI trade and Rolls-Royce (RYCEY) as a strong international company. ======== Schwab Network ========Empowering every investor and trader, every market day.Subscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribeDownload the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watchWatch on Vizio - https://www.vizio.com/en/watchfreeplus-exploreWatch on DistroTV - https://www.distro.tv/live/schwab-network/Follow us on X – https://twitter.com/schwabnetworkFollow us on Facebook – https://www.facebook.com/schwabnetworkFollow us on LinkedIn - https://www.linkedin.com/company/schwab-network/ About Schwab Network - https://schwabnetwork.com/about

The energy transition conversation focuses on what connects to the grid. Far less attention goes to whether anyone is coordinating what those assets do once connected. AI training runs swing hundreds of megawatts in seconds as GPUs checkpoint and restart a profile that looks like a generator tripping offline. At distribution level, millions of inverter-based resources create localised variability that overwhelms individual circuits even when aggregate models look healthy. The planning tools in use today were designed for neither problem.Host Bridget van Dorsten is joined by Kay Aikin, CEO and Founder of Dynamic Grid, energy engineer, grid architecture advisor to the DOE-supported GridWise Architecture Council, and contributor to the UN Environmental Program's building decarbonisation work. Kay unpacks what an AI training facility actually does to the grid with full GPU load for hours or days, then a drop to ten percent in seconds during checkpointing. She talks about how at the scale now planned, the Stargate project in Texas alone could represent ten percent of ERCOT disappearing in four seconds. The behaviour is stochastic and cannot be modelled with traditional statistical tools. At distribution level, virtual power plants responding to wholesale signals without circuit-level visibility can create competing oscillations, the kind of emergent dynamics that contributed to the Spanish grid failure.The proposed fix is an AI controller at the substation, sending price-based signals and flexible operating envelopes to large assets and VPP operators, giving them twenty-four-hour forecasts and real-time circuit visibility. Total cost: under a hundred thousand dollars installed. The reason it isn't everywhere is cost-of-service regulation. Utilities earn returns on deployed capital, so a million-dollar transformer replacement is more profitable than software that eliminates the need for it.Without new approaches, rebuilding the US distribution grid could cost up to ten trillion dollars by 2040. Kay is developing grid utilisation metrics with regulators in Maine, Virginia, and Maryland to incentivise extracting more from existing infrastructure. The episode closes on the need for distribution system operators and the affordability death spiral that looms if the structural incentives don't shift. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Software engineering has developed powerful tools for observability, data management, and continuous testing, but hardware engineering has largely not kept pace. The feedback loops, tooling, and infrastructure that software engineers take for granted simply do not exist in most hardware programs. Nominal is a data platform built to help hardware organizations move at the same The post The Hardware Bottleneck AI Can't Fix appeared first on Software Engineering Daily.

After Karen Weekly relying on one player to make the finals in the WCWS, the Lady Vols meet their match. ---------- TalkSports is LIVE Weekdays from 8-11 a.m. on Fox Sports Knoxville/ Fanrun Radio. Check Out our Socials: "@FOXSportsKnox" on Twitter/X, "FanrunSports" on Instagram and Youtube Jon- @Jon__Reed on "X" Cody- @Cody__McClure on "X" Sam- @_beard11 on "X" Bubba- @BrandonShown on "X"

Episode 301: This week's episode dives into the tech stories that should keep you up at night. We start with the chilling reality of the 23andMe breach—proof that your genetic code, the one thing you can never change, can be stolen, sorted, and sold to the highest bidder. Then we move to smart‑city surveillance gone rogue, where police camera networks keep recording even after the city tries to shut them down, leaving officials resorting to trash bags and tape while the data quietly flows elsewhere. Add in AI-driven hardware shortages now hitting consumer devices, and the picture gets even more unsettling.But the unease doesn't stop there. We tease emerging tech that blurs the line between science and science fiction: Wi‑Fi systems that can identify you through walls, living neuron computers that learn, and AI models struggling to admit what they don't know. Finally, we ground it all with a space‑tech reality check—from Blue Origin delays to SpaceX's crypto holdings—reminding listeners that even the companies shaping the future aren't immune to chaos. If you want the stories that reveal how fragile our digital world really is, this is the episode you don't skip all coming up on TechTime Radio, with a little whiskey on the side.-- Full Episode Details:Your genetic code is now a commodity, and the scariest part is you can't cancel it, replace it, or reset it like a password. We open with the 23andMe breach and lawsuit, unpacking how credential stuffing can unlock deeply personal genetic data, why DNA privacy is permanent, and what it means when stolen data can be resold and targeted by group. If you've ever wondered whether consumer DNA testing is worth the risk, we lay out the tradeoffs in plain terms.Then we head straight into smart city surveillance with a story that's equal parts absurd and alarming: police camera networks that can't be shut off by the city that paid for them. When officials learn data is being shared beyond local law enforcement, the “solution” becomes literal black trash bags over the lenses. It's funny until you realize it exposes a bigger issue in public tech contracts, license plate reader systems, and who truly controls the technology embedded in daily life.We also connect the dots between AI infrastructure and your wallet, using the Steam Deck OLED price hike as a real-world signal of component shortages, supply chain pressure, and AI data centers consuming the same memory and compute ecosystem that powers consumer devices. Along the way, we play Two Truths and a Lie with stories about Wi-Fi based person identification and living neuron biocomputing, then talk AI reliability and the push for models that can finally say “I don't know” instead of hallucinating. We close with a space tech reality check from Blue Origin and a blunt conversation about SpaceX's Bitcoin holdings and why crypto still feels like speculation to a lot of people.If you like tech news that's practical, skeptical, and still fun, subscribe for weekly episodes, share this with a friend who loves debating privacy and AI, and leave us a review so more people can find the show.Send us Fan MailSupport the show

In this episode of the Crazy Wisdom Podcast, host Stewart Alsop sits down with returning guest Ekue Kpodar for their third conversation together, covering a wide range of topics at the intersection of technology, geopolitics, and the evolving information age. They dig into Ekue's unconventional setup of running local AI models across roughly 15 computers, the growing case for open source models over closed ones from companies like OpenAI and Anthropic, and how Chinese open source models may be positioned to outcompete Western alternatives on a global scale. The conversation also touches on vibe coding and the democratization of software development, the strategic use of small models for IoT and enterprise applications, the role of Israel and China as dominant players in the information age, and how smaller nations and even individuals may wield outsized power as AI continues to collapse the cost of knowledge work. You can find Ekue Kpodar on X @ekpodar and LinkedIn.Timestamps00:00 Stewart welcomes Ekue for their third episode, diving into vibe coding and AI-driven development changes.05:00 Ekue explains using Claude on Chrome to auto-reply on Skool, burning tokens through screenshots, and Playwright as a more efficient alternative.10:00 Stewart describes his Claude-dependent planning and coding agent system breaking after a model update, prompting him to build his own chatbot.15:00 Small models discussed as critical for IoT, defense, and privacy-focused enterprises building internal APIs instead of routing traffic to OpenAI.20:00 Open source versus closed source debated, with Chinese models gaining global traction while US foundational labs remain expensive and restrictive.25:00 SaaS apocalypse explored as AI commoditizes knowledge work, with Linux and Terraform cited as proof open source still generates wealth.30:00 OpenAI's sci-fi terminator fears explained as the reason they stayed closed source, ultimately handing China a strategic open source advantage.35:00 China's economic dumping strategy applied to AI, potentially displacing US model dominance globally the same way manufacturing was disrupted.40:00 Israel's signals intelligence dominance discussed alongside asymmetric warfare, drones defeating tanks, and information control replacing military muscle.45:00 Global information age rankings debated, Israel leading, US and China tied, France and Poland emerging as sovereign tech players.50:00 Qatar, NVIDIA, and Iran cited as proof that rare resources and technology matter more than population size in the 21st century power landscape.Key Insights1. Running local AI models on a network of affordable computers can be more cost-effective than relying entirely on third-party APIs. By using compressed or smaller open source models locally, developers can handle repetitive or lower-stakes tasks without burning through expensive tokens from providers like Anthropic or OpenAI.2. Small AI models are becoming increasingly important for IoT, defense applications, and companies that do not want to send sensitive data to external providers. Organizations can download open source models, run them on internal servers, and build proprietary APIs around them, creating something like an intranet of specialized small models.3. The value created by AI tools is being redistributed away from traditional SaaS companies toward foundational model providers and individual builders. People are canceling subscriptions to software they once paid hundreds per month for, because AI now allows a single person to build comparable tools themselves.4. Open source technology does not eliminate the ability to profit. Linux and Terraform are both open source yet made their creators wealthy. People will still pay for installation, setup, troubleshooting, and customization even when the underlying software is free.5. China is applying its longstanding manufacturing dumping strategy to artificial intelligence by releasing cheap open source models globally, which threatens to erode US dominance in AI the same way Chinese manufacturing undercut other countries for decades.6. In the information age, the size of a country or institution matters far less than its access to rare resources or advanced technology. Qatar, Israel, and NVIDIA each demonstrate that small populations or headcounts can wield enormous global negotiating power through concentrated technological or resource advantages.7. Asymmetric warfare is redefining military power, with inexpensive drones defeating tanks that cost millions to build. This shifts the advantage toward nations that excel at signals intelligence and information management rather than those with the largest conventional military forces.

Vince, Jarrett and Kellan Olson hand out awards for the best and worst of the weekend.

Vince and Kellan Olson talk D-backs, go through Socials Studies and hand out some Hardware. 

Today, we are breaking down Toast, a name we have covered before but are revisiting because the story has changed enough to be worth telling again. Most listeners will have tapped a Toast terminal without thinking much about the business behind it.  Our guest is Sean Barrett, founder, managing partner, and chief investment officer of Counter Global, who holds Toast as one of his largest positions and walks us through how a restaurant point of sale company became the operating system that runs the restaurant. He argues that Toast is best understood as the operating system for the restaurant rather than a payments terminal with software attached, and that the business grows as fast and as profitably as it does because the company spent years building purpose-built hardware, a multi-tenant software platform, and a sales force on the ground before it moved into new markets across grocery, enterprise, hospitality, and international.  We also discuss why a business winning roughly half of new restaurant openings in the United States still trades at a multiple that looks closer to a mature company than a category killer. Please enjoy this Breakdown of Toast. For the full show notes, transcript, and links to the best content to learn more, check out the episode page⁠⁠⁠⁠⁠⁠⁠ here.⁠⁠⁠⁠⁠⁠⁠ ----- Become a Colossus member to get our quarterly print magazine and private audio experience, including exclusive profiles and early access to select episodes. Subscribe at ⁠colossus.com/subscribe⁠. ----- This episode is brought to you by⁠⁠⁠⁠ ⁠Portrait Analytics⁠⁠⁠⁠⁠ - your centralized resource for AI-powered idea generation, thesis monitoring, and personalized report building. Built by buy-side investors, for investment professionals. We work in the background, helping surface stock ideas and thesis signposts to help you monetize every insight. In short, we help you understand the story behind the stock chart, and get to "go, or no-go" 10x faster than before. Sign-up for a free trial today at ⁠⁠⁠⁠⁠portraitresearch.com⁠⁠⁠⁠⁠ ----- Stay up to date on all our podcasts by signing up to Colossus Weekly, our quick dive every Sunday highlighting the top business and investing concepts from our podcasts and the best of what we read that week. Sign up here. ----- Editing and post-production work for this episode was provided by The Podcast Consultant (⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://thepodcastconsultant.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠). Timestamps (00:00:00) Welcome to Business Breakdowns (00:03:19) Toast Business Overview & Financials (00:06:31) Recurring vs. Reoccurring Gross Profit (00:07:39) Nuance on Revenue Semantics (00:10:05) Transformation from 2020 to Today (00:11:51) Full Product Offering Overview (00:14:13) Revenue Model — Recurring vs. Transaction-Based (00:16:08) Net Take Rate (00:17:22) Software Side of Revenue (00:18:49) Hardware & SaaSpocalypse Connection (00:22:31) AI Offering & What They're Shipping (00:27:01) Impact of 8% Revenue Uplift for Restaurants (00:27:12) Competitive Landscape (00:32:44) Switching & Churn Dynamics (00:34:52) Competitive Advantage & Moat (00:37:43) Management Team & Culture (00:39:57) $10B Gross Profit TAM & Runway (00:44:01) Valuation Approach (00:45:53) Key Risks (00:48:32) Key Lessons

Part 2 of our new format with three frontier founders: Guillermo Rauch (Vercel), Blake Scholl (Boom Sonic), and Max Hodak (Science). 00:35 Vibe Coding A Turbine Blade 04:04 Open Source Compounds China's Advantage 06:12 You Always Want The Smartest Model 08:41 Software Still Needs Hands 10:40 Humans Are Becoming Verifiers Transcript: http://nav.al/hardware