Podcasts about Waymo

Tim discusses the online rumor that Benjamin Netanyahu is no longer alive, watches Pete Hegseth try to explain the war in Iran, reads about a homeless man who fought a Waymo, tells Americans to stop traveling during the TSA shutdown, and listens to Donald Trump talk about taking Cuba.  Live Dates:

How a secret project at Google led to driverless cars on American roads.  Freakonomics Radio shares a story from our friends at Search Engine. (Part one of a two-part series.)   SOURCES: Alex Davies, author of Driven: The Race To Create the Autonomous Car. Chris Urmson, co-founder and C.E.O. of Aurora. Don Burnette, founder and C.E.O. of Kodiak AI. PJ Vogt, reporter, writer, and host of the Search Engine podcast. Sebastian Thrun, roboticist, C.E.O. of Sage AI Labs, adjunct faculty at Stanford University. Timothy B. Lee, author of Understanding AI newsletter.   RESOURCES: "Very few of Waymo's most serious crashes were Waymo's fault," by Kai Williams (Understand AI, 2025). Driven: The Race to Create the Autonomous Car, by Alex Davies (2021). "An Oral History of the Darpa Grand Challenge, the Grueling Robot Race That Launched the Self-Driving Car," by Alex Davies (WIRED, 2017). Understanding AI, newsletter on Substack. Waymo Safety Dashboard.   EXTRAS: "The Fascinatingly Mundane Secrets of the World's Most Exclusive Nightclub," by Freakonomics Radio (2024). Search Engine, podcast by PJ Vogt. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Let's talk about Punch! The Duggers are in the news again - yikes. Bob gives us an update on wedding planning. Is Pink coming to The Sphere?! Ethan Hawk gives the best dating advice you'll ever hear. Gas prices are rising, and electric cars are getting more appealing. Waymo has a complaint filed against them for minors riding in their vehicles alone. A woman upcycled the red carpet… for her apartment. Mason has discovered a new sleepytime drink!

Hour 1: Bob's Movie Club has your next assignment, and it's going to take you to the movie theater! Jay-Z changed his name… sort of. Ryan Seacrest admits he's lonely. So does Matty. Is Miley Cyrus hinting at next year's Super Bowl performance? Did you get your March Madness bracket done? Cesar Chavez's name is all over the city - what now? The Dark Side of the Moon IS that album. Never underestimate the power of a hug. Hour 2: Ariana Grande might be a brat. Do we care? ‘White Lotus' has more casting news! Oprah interviews the woman from the Coldplay concert. Taylor Frankie Paul's baby daddy speaks out about the domestic violence claims. It's ice coffee weather. A patient refuses to leave the hospital months after they were discharged. Is “The Pitt” the best show on TV? Vinnie finally finished episode 1 of Survivor 50. THE CHAIR!! Is GenZ more ridiculous than any other generation? (41:02) Hour 3: Let's talk about Punch! The Duggers are in the news again - yikes. Bob gives us an update on wedding planning. Is Pink coming to The Sphere?! Ethan Hawk gives the best dating advice you'll ever hear. Gas prices are rising, and electric cars are getting more appealing. Waymo has a complaint filed against them for minors riding in their vehicles alone. A woman upcycled the red carpet… for her apartment. Mason has discovered a new sleepy time drink! (1:19:12) Hour 4: Ryan Gosling is talking about Harrison Ford on the New Heights podcast. Demi Lovato tells us her Mount Rushmore of Disney Channel. How do we feel about KPop Demon Hunter holograms? Taylor Swift and Travis Kelce are inspiring young women to play football. The Valkyries are ON this season. We are getting Incredibles 3! … in 2 years. Mason finally tells us a little about working with Nick Canon and one of his baby mamas. We're all making deals with our kids, but is a bribery app the answer? Mason reveals her secret vice, and the gang plays a game! (1:55:10)

Spike and Zuckerman hold down the garage, while Jonny is lost somewhere in Austin. Zuckerman rolls in a pristine 1968 Alfa Romeo GT Junior (factory plastic still on the seats) and Brian Finster from Sotheby's Motorsport stops by to talk high-end online car auctions. Also on the docket: California's Montana car registration tax evasion crackdown, the new Porsche 911 Turbo S putting GT3 buyers in an existential crisis, and somehow... funeral home horror stories. ______________________________________________

Your job? Teach AI your ways. Plus, someone attacked a Waymo for six minutes straight and the car didn't move. Here's why. Plus, the window trick for your key fob and iPad's cool new zoom feature. Learn more about your ad choices. Visit megaphone.fm/adchoices

(0:00) Travis Kalanick: Officially exiting stealth mode, what he's been working on (5:52) How to automate the physical world, markets to go after (11:00) Return to self-driving: Tesla, Waymo, and the autonomous race (16:17) Leaving Los Angeles for Austin, the decline of truth and justice in California (25:51) Actuators, robot hands, "Capital as a weapon," Middle East SWF impacted by Iran War (36:00) Michael Dell: Dorm room to $140B in annual revenue, why Texas attracts founders (43:46) Dell's $50B AI infrastructure bet (1:03:50) Invest America: Michael Dell's $6.25B gift - A 401k from birth for 25M kids This podcast was recorded LIVE at Arena Hall in Austin, Texas. Thanks to our partners for making this event possible!: EY: Austin vibes meet AI innovation. Thanks to EY for co‑hosting with us at #SXSW. Discover what executives are saying about AI transformation in the latest AI Pulse Survey. https://ey.com/en_us/insights/emerging-technologies/pulse-ai-survey Forge Global: We're proud to highlight our partners at Forge Global, who are helping the world's most innovative private companies and their teams gain #liquidcourage on their terms. Learn more here: https://forgeglobal.com/who-we-serve/private-companies/ De'Longhi Athena Polymarket

AI Spicy Mode, Steam, Glassworm, Samsung, Stryker, Waymo, Cole Porter, and More on the Security Weekly News. Visit https://www.securityweekly.com/swn for all the latest episodes! Show Notes: https://securityweekly.com/swn-564

On the next Charlotte Talks, we look at Waymo's self-driving cars, which will soon be operating on Charlotte's streets. Because this technology is so new — and to some, a bit “spooky” — we'll talk about how the cars operate, how to use them and how safe they are. Some say autonomous vehicles are actually safer than human-driven cars, but there have been issues. We'll examine the technology, Waymo's track record and more.

AI Spicy Mode, Steam, Glassworm, Samsung, Stryker, Waymo, Cole Porter, and More on the Security Weekly News. Show Notes: https://securityweekly.com/swn-564

Mardi 17 mars, François Sorel a reçu Claudia Cohen, journaliste chez Bloomberg, Frédéric Krebs, président de Krebs & Partners, et Frédéric Simottel, journaliste BFM Business. Ils se sont penchés sur le recentrage d'OpenAI sur ChatGPT et les clients professionnels, l'alerte de Musk sur les difficultés de Xai, et la défense par Waymo du déploiement progressif des robotaxis, dans l'émission Tech & Co, la quotidienne, sur BFM Business. Retrouvez l'émission du lundi au jeudi et réécoutez-la en podcast.

AI Spicy Mode, Steam, Glassworm, Samsung, Stryker, Waymo, Cole Porter, and More on the Security Weekly News. Visit https://www.securityweekly.com/swn for all the latest episodes! Show Notes: https://securityweekly.com/swn-564

We would love to hear your feedback!Uber drivers are already doing brutal math on every request, so what happens if the platform starts charging us a subscription just to work? We react to reports that Uber is exploring a driver subscription model, compare it to other approaches in rideshare, and talk through the real-world questions: who it helps, who it hurts, and why part-time drivers could get squeezed if the tiers are wrong.Then we get into the future that keeps showing up in our feeds right now: autonomous vehicles. Tesla's new robotaxi concept drops the steering wheel and pedals entirely, which sounds sleek until you think about safety standards, insurance costs, and what happens when a vehicle fails with no manual override. We tie that to Waymo's recent problems, including remote assist mistakes around school buses and a nerve-racking left turn where the car inches into traffic and stops in a dangerous spot. If robotaxis are going to replace rideshare work, they have to earn trust in the messy streets we all drive every day.We also cover practical gig economy news that hits pay and safety immediately: Uber's women rider preference expanding nationwide, LAX considering higher rideshare fees that passengers will feel at checkout, and a troubling rise in identity theft claims where stolen identities are allegedly used to create driver accounts and generate surprise 1099s. If you care about rideshare profitability, passenger safety, and where Uber, DoorDash, Waymo, and Zooks are headed next, this one is for you.Subscribe for weekly gig economy news, share this with a driver friend, and leave a review if the show helps you stay sharp. Would you ever pay a monthly subscription to drive for Uber?Please fill out the survey for a chance for a 25.00 Gift Card!   Support the showEverything Gig Economy Podcast Related: Download the audio podcast Newsletter Octopus is a mobile entertainment tablet for your riders. Earn 100.00 per month for having the tablet in your car! No cost for the driver! Want to earn more and stay safe? Download Maxymo Love the show? You now have the opportunity to support the show with some great rewards by becoming a Patron. Tier #2 we offer free merch, an Extra in-depth podcast per month, and an NSFW pre-show https://www.patreon.com/thegigeconpodcast The Gig Economy Podcast Group. Download Telegram 1st, then click on the link to join. TikTok Subscribe on Youtube

Lucy, Theo, Andrew, and Ben bring you: Two liquids to avoid at all costs, a surprise in the boot of your Waymo, a surplus of 21,000 poles, and a fashionable change to a venerable institution. *** Outro: Beautiful Blue Sky - Ought *** Support our show and get exclusive bonus episodes by subscribing on Patreon: www.patreon.com/BoontaVista *** Email the show at mailbag@boontavista.com! Call in and leave us a question or a message on 1800-317-515 to be answered on the show! *** Website: boontavista.com Twitch: twitch.tv/boontavista

With all of the major players on hand, the Department of Transporation held a National AV Safety Forum in D.C.. And Princeton's Alain Kornhauser says the focus on empowering AV innovators is opening doors. Join Alain and co-host Fred Fishkin for that plus an AARP podcast on mobility featuring ITN America's Katherine Freund, reports on impact of AVs on vehicle miles traveled and the hidden costs of Waymo robotaxis on SF streets. And concerns about what the U.S.-Israeli reported disruptions of traffic signals and such in Iran may mean. Tune in and subscribe!

This week on Autonomy Markets, Grayson Brulte and Walter Piecyk discuss their field work in Austin, Texas, where they rode in a Tesla Unsupervised Robotaxi and walked the Cybercab production line at Giga Texas.Together they experienced Tesla's unsupervised roboataxi operations in Austin, specifically the moment they hailed and rode in a fully unsupervised Tesla Robotaxi with no safety attendant and no chase car. Grayson and Walt noted the vehicle's smooth performance, its routing differences versus supervised rides, and the absence of Mad Max or Hurry driving modes in unsupervised operation.his led to a broader discussion on Tesla's Cybercab production readiness, with both noting that Tesla appears prepared to scale. The conversation then shifts to the competitive landscape, examining Uber's big week of autonomous vehicle partnership announcements and the company's positioning relative to Tesla, Waymo, and the broader autonomy economy.Closing out the conversation, Grayson and Walt discuss Waymo's expanding footprint, the structural advantages Tesla holds through its charging infrastructure and factory integration, and what the Cybercab ramp means for the autonomy economy.Episode Chapters00:00 Riding in a Tesla Unsupervised Robotaxi5:45 Robotaxi Ride Experiences (Both Supervised and Unsupervised)11:25 Tesla's Austin Depot19:58 Walking the Cybercab Production Line at Giga Texas26:43 Waymo in Austin29:24 Uber Needs an Autonomous Vehicle Tier31:07 Uber's Big Week of Partnership Announcements42:52 Zoox's Sudden Change in Narrative51:53 Wayve Partners with Qualcomm53:34 U.S. DOT is Embracing Autonomy56:44 Autonomous Trucking1:02:00 Foreign Autonomy Desk1:02:43 Next week Recorded on Friday, March 13, 2026--------About The Road to AutonomyThe Road to Autonomy is the definitive media brand covering the Autonomy Economy™. Through our podcasts, newsletter, and proprietary market intelligence, we set the narrative for institutional investors, industry executives, and policymakers navigating the convergence of automation, autonomy, and economic growth.Sign up for This Week in The Autonomy Economy newsletter: https://www.roadtoautonomy.com/ae/See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

This week on America on the Road, roomy SUVs go under the microscope. Host Jack Nerad tests the family-focused 2026 Hyundai Ioniq 9 SEL AWD, Hyundai’s newest three-row electric SUV. And co-host Chris Teague details his week-long experience in the luxurious 2026 Lincoln Navigator. The hosts also discuss key industry developments, including Honda’s reverse exports and federal oversight of autonomous vehicles. Plus, Jack sits down with Cameron Creighton, an expert on the 2026 Toyota C-HR and bZ Woodland, to explore Toyota’s latest compact crossover and electric SUV offerings.

McDonald's CEO: McDonald's CEO goes viral and every other fast food CEO wants in on the fun. This definitely sold a shit ton of Big Arch burgers.Palette Cleansers: From the Doordash Dot, the creepy home drone camera and the sleepy Indian spying on you, the future is bleak. Also Kelly Osbourne is withering away.THE BEAR!, FUCK YOU WATCH THIS!, METHOD MAN!, GZA!, SHADOWBOXIN'!, 4TH CHAMBER!, GHOSTFACE!, KILLAH PRIEST!, RZA!, POLITICAL STUFF!, IRAQ!, WHAT HAPPENED!, BURGER KING!, EPSTEIN FILES!, HDM VOICEMAIL!, SERVE YOU!, LEGAL THREATS!, UNHINGED!, DOCUMENTARY COMMENTARY!, YOUTUBE!, COMPLAINTS!, LOONEY!, MCDONALDS CEO!, VIRAL!, BIG ARCH!, SPRITE!, FRIES!, CRISPY ONIONS!, SLIVERED ONIONS!, PLANNED!, REVIEWBRUH!, BURGER KING CEO!, WHOPPER!, WENDY'S CEO!, A&W SPOKESPERSON!, AUTISTIC!, LITTLE BITE!, GOY SLOP!, PRODUCT!, BUN SUCKERS!, PLAN YOUR LAST BITE MOTHERFUCKER!, PLANNING YOUR LAST BITE!, PLAN MY LAST BITE OF A MEAL MOTHERFUCKER!, MAYOR!, NEW YORK!, BURGER ELEMENT!, SHAKE SHACK!, COVID!, VACCINES!, EATING PIZZA FORK AND KNIFE!, WHATABURGER!, UNDERRATED BURGER!, WAYMO!, DOORDASH DOT!, DRONE!, AUTO DRIVE PODS!, REPLACE DELIVERY DRIVERS!, AUTONOMOUS!, EXPLOSIVES!, ELECTRIC SCOOTERS!, CLOSE WAYMO DOORS!, META GLASSES!, INDIAN PEOPLE!, SLEEPY INDIAN IMPRESSION!, AMAZON DRONE CAMERA!, RING!, OPEN MIC COMEDIAN!, SHARON OSBOURNE!, KELLY OSBOURNE!, LOOKS WEIRD!, FRAIL!, SURGERY!, OZEMPIC!, FIREWORK FAIL!, TERRY!, GLUE HANDS!, STUCK!, GENIUS! You can find the videos from this episode at our Discord RIGHT HERE!

Story of the Week (DR):WarSaudi Aramco CEO issues stark warning: Iran war could bring ‘catastrophic' shock to global oilPrediction markets face questions on Iran war bets, from regime change to nuclear detonationThe Maduro Capture (Jan 2026): Just hours before the U.S. captured Venezuelan President Nicolás Maduro, a new Polymarket account wagered $30,000 on his removalIsraeli Military Indictments (Feb 2026): At least two individuals in the Israeli defense forces were reportedly indicted for using classified intelligence to place winning bets on the specific dates of military strikes in IranNational Security Risk: A recent report by Responsible Statecraft warns that officials with the power to influence military timing could alter operations to maximize their payout The Atlantic Council recently warned that foreign adversaries can "weaponize the odds" by dumping money into a thinly traded market to create a false narrative that a country is about to collapse, potentially triggering a real-world panic or bank run.Kalshi (private)1/13/25: Kalshi names Donald Trump Jr. as strategic advisorPolymarket (college dropout Shayne Coplan)8/26/25: Kalshi Advisor Donald Trump Jr. Joins Rival Polymarket BoardTrump Jr.'s 1789 Capital is making an eight-figure investment in the controversial prediction-market company.AI JobsAnthropic just mapped out which jobs AI could potentially replace. A ‘Great Recession for white-collar workers' is absolutely possibleThe most AI-exposed group is 16 percentage points more likely to be female, earns 47% more on average, and is nearly four times as likely to hold a graduate degree compared to the least exposed group.Sam Altman admits AI is killing the labor-capital balance—and says nobody knows what to do about itOracle expected to slash thousands of jobs as massive AI spending creates financial cash crisisLayoffs are feeling awfully tempting for a lot of companies right nowCEOs are using one number in the AI age to decide how many people they still needRevenue per employeePatreon's CEO says AI will be a 'bloodbath for the world's creative people' unless tech companies pay upAtlassian slashes 10% of workforce to 'self-fund' investments in AI and enterprise salesThe unexpected 92,000 drop in payrolls is a clue we might be reading the AI jobs narrative all wrongWorker painAI Is Forcing Employees to Work Harder Than EverAI Job Loss Is Breaking the Psyche of Workers, Psychiatrist Warns‘AI brain fry' is real — and it's making workers more exhausted, not more productive, new study findsEconomist Dambisa Moyo says CEOs must play a role in sustaining the consumer class as AI eliminates jobsThis could only happen if we weren't controlled by the TechBro Dropout GangCII‘Not a goodbye…': What Adobe CEO Shantanu Narayen told employees after announcing decision to step downShantanu Narayen, CEO of Adobe for 18 years, will step down once a successor is appointed, while continuing as board chairman.Google Hands Sundar Pichai $692M Package Tied to AI BetsPackage uniquely ties executive pay to Waymo autonomous vehicle and Wing drone delivery venture performanceCompensation structure sets precedent for linking CEO pay to specific AI business unit success rather than overall company metricsSo now CEOs can either game their bonus by obsessively focusing on one thing or doom the rest of the company by obsessively focusing on one thing or bothAs You Sow Files Lawsuit Challenging Chubb's Refusal to Put Shareholder Proposal Addressing Climate-Driven Insurance Crisis on Company ProxyThe proposal asks shareholders to vote on whether Chubb should commission a report assessing whether pursuing subrogation claims against parties responsible for climate change could reduce losses, benefit shareholders, and help preserve affordable homeowners insurance.This lawsuit follows the SEC's decision to abandon its longstanding role as a neutral arbiter in the shareholder proposal process. In November 2025, the SEC announced that it would no longer review corporate no-action requests under Rule 14a-8, effectively forcing these matters into court—an expensive and lengthy process.Sen. Elizabeth Warren Slams SEC As 'Lap Dog For Trump's Billionaire Buddies' After It Dismisses Another Crypto Case"The SEC should not be a lap dog for Trump's billionaire buddies"Live Nation, Ticketmaster's Owner, Settles Antitrust Case With Justice DeptThat was fastLive Nation Entertainment board includes Trump administration bro Richard Grenell 2 of 12 are womenGrenell is somehow the president of the Kennedy Center for the Performing Arts despite no background in anything resembling “the Arts.”He replaced a woman, Deborah Rutter. The chair is President Trump. Of course. And the board now is down to only one woman: 2 years ago it was 60% female.Glass Lewis recommends voting against Starbucks director over ‘board-level E&S oversight'New York State Comptroller, New York City Comptroller, SOC Investment Group, Canadian responsible investment association SHARE, Merseyside Pension Fund, and Trillium oppose the re-election of lead independent director Jørgen Vig Knudstorp, as well as Beth Ford, chair of Starbucks' Nominating and Corporate Governance (NCG) committee.Ford was chair of the EPCI committee and now leads the NCG committee, which assumed some of the responsibilities of the EPCI when it was disbanded.In its benchmark policy proxy paper, Glass Lewis has recommended investors vote against Ford.Goodliest of the Week (MM/DR):DR:Uber rolls out women-only option in the USDR: CEOs of failed banks would have to surrender pay under bipartisan planSenate legislation would mandate “clawbacks” of executive pay, three years after the collapse of Silicon Valley Bank.MM: 24 states, Nintendo sue Trump over tariffs as refund fight growsCostco CEO Ron Vachris Pledges to Return Tariff Refunds to ShoppersMM: Andrew Yang says we should stop taxing workers — and start taxing AIAssholiest of the Week (MM):War on Women: part 1Alex KarpPalantir CEO Makes Shocking Confession on Disrupting Democratic PowerPalantir CEO Alex Karp thinks his AI technology will lessen the power of “highly educated, often female voters, who vote mostly Democrat” while increasing the power of working-class men.“This technology disrupts humanities-trained—largely Democratic—voters, and makes their economic power less. And increases the economic power of vocationally trained, working-class, often male, working-class voters,” Karp said in a CNBC interview Thursday. “And so these disruptions are gonna disrupt every aspect of our society. And to make this work, we have to come to an agreement of what it is we're going to do with the technology; how are we gonna explain to people who are likely gonna have less good, and less interesting jobs.”To Alexandra Schiff, ex WSJ reporter and daughter of Tom Wolfe, who wrote a semi adoring Silicon Valley book in 2017 holding Peter Thiel as a god (and now sits on this board with Thiel), and to Lauren Friedman Stat, who only seems to post Palantir sizzle reels and as best I can tell is married to a “David Stat” who is the name of a “Director” (not on the board?) of Palantir who is in a Form 4 for selling stock:What the fuck are you doing. Do you read what this dude says? Are you that cucked to the tech bro elite you can't stop and say, “Hey, Alex, maybe tone down the suggestion you're trying to stop female Democrats from voting?”War on Women: part 2Glass Lewis recommends voting against Starbucks director over ‘board-level E&S oversight'Because Starbucks disbanded the Environmental, Partner and Community Impact committee of the board - launched in 2023, dissolved in November 2025Committee launched after majority supported SHP to focus on labor issuesJorgen Knudstorp and Daniel Servitje, the OTHER committee members, somehow escape entirelyKnudstorp is the Lead independent director, Niccol is the CEO and chair of the board (yes, chair)But instead of targeting Niccol or even Knudstorp, Glass Lewis targeted the female chair of the committee… ONLYIf the CEO gets to be chair - doesn't the CEO have to take responsibility for board overall? If you have an LID, are they accountable?? Why would the chair of a committee be target without the chair of the board or LID? Can a committee chair dissolve their own committee??Cracker Barrel - the scapegoat was the person of color who had “diversity” in their job description, not the longest tenured director who was also chair of the board but was a white guy - and Glass Lewis suggested voting out the brown dudeWar on Women: part 3 speed roundDOGE, DEI, and climate changeBlack women were disproportionately impacted by DOGE cuts. A year later, they're rebuilding careers for themselves and each otherI Watched 6 Hours of DOGE Bro Testimony. Here's What They Had to Say For ThemselvesOver the course of a six hour long or so deposition, Justin Fox, a former investment banker turned DOGE bro, refused to define what he believes counts as DEI; admitted he used ChatGPT to scan government contracts for terms such as “Black” and “homosexual” but not “white” or “caucasian;” and said that one of the grants he helped slash was “not for the benefit of humankind” before walking that claim back.Why ‘bringing your whole self to work' is a trap, especially for womenFormer Goldman Sachs CEO says DEI programs are ‘counterproductive,' arguing ‘you're branding the people in that program'Climate change: Women face worst impacts as funding support falls shortIn 2025, a UN women report warned that under a worst-case climate scenario, up to 158.3 million more women and girls may live in extreme poverty globally as a result of climate change by 2050Headliniest of the WeekDR: Shell CEO's Pay Jumps 60% Despite Profit Drop and Fatal AccidentsDR: Jack Dorsey Defends Wearing “Love” Hat While Firing 4,000 Employees in Pivot to AI: "I wanted to approach the whole situation with love."MM: Ozempic mania has even Olive Garden and The Cheesecake Factory cutting back on portion sizesMM: Cracker Barrel sales, traffic continue to slump months after failed rebrandWho Won the Week?DR: National Museum of the American Indian and the coffee at CII, was actually pretty not grossMM: The Council for Institutional Investors Spring Conference, who got to witness Proxy Countdown livePredictionsDR: CII loses our phone numberMM: The women start the uprising now:

A recent change to Texas law now requires local law enforcement to cooperate with federal immigration enforcement.Driverless cabs are making headlines in Austin for all the wrong reasons. What this might mean for Waymo’s plans to expand statewide.Politics v.s. pragmatism in West Texas, long known for its oil, now making a sometimes-begrudging shift to solar […] The post Waymo expansion sparks safety concerns in Texas cities appeared first on KUT & KUTX Studios -- Podcasts.

On today's episode, we discuss Elon Musk's new Starlink Mini, how a dish barely larger than an iPad can give truly mobile satellite internet from your driveway to your dashboard, and why the guys want it mounted on their cars and future Cybertrucks. From there, they pivot to Tesla updates, supply chain delays, and how a supposedly firm delivery window slipped—confirming Mark's prediction that logistics crunches don't care what the app promises. The conversation widens into energy markets, examining how a short Middle East war and risk-driven insurance costs can spike global oil prices in just two weeks, even when U.S. supply is strong. They also wrestle with reports of a possible strike on an Iranian school, talking about “fog of war,” dual-use military facilities, and what Trump likely does and doesn't know yet. In the closing segment, the crew returns to robotics and autonomy, contrasting frozen Waymo robotaxis in San Francisco with Tesla's constantly learning fleet “hive mind,” and arguing that resistance to self-driving often comes down to habit more than actual performance. Throughout, they mix futurist enthusiasm with practical business wins—like simple website tweaks that doubled legal leads—and plenty of jokes about becoming reluctant social influencers in an AI-powered, always-connected world. Don't miss it!

0:00-1:00 – Show Open1:00-8:00 – Footage of goose attacking a woman8:00-18:00 – Sleepcations18:00-34:00 – What is one thing you wish your significant other would stop doing?34:00-43:00 – Lady selling diamonds online gets robbed43:00-45:00 – Teacher hit a kid on scooter45:00-50:00 – Another person comes forward about getting stung by scorpion at Vegas hotel50:00-57:00 – Wedding gifts go missing from venue57:00-59:00 – Massive great white shark spotted along Florida coast59:00-1:02:00 – 3 whales seen breaching at once1:02:00-1:10:00 – Jason's appointment is tomorrow1:10:00-1:11:00 – Team USA baseball1:11:00-1:13:00 – NFL games on day before Thanksgiving1:13:00-1:17:00 – Katy Perry lawsuit against Katie Perry1:17:00-1:22:00 – Janet Jackson complained about everything after Michael Jackson biopic1:22:00-1:23:00 – Britney Spears mugshot will not be released1:23:00-1:25:00 – Mickey Rourke evicted1:25:00-1:28:00 – Kelly Clarkson reveals she didn't get what was promised after winning American Idol1:28:00-1:32:00 – Woman annoyed with famous neighbor's birds1:32:00-1:37:00 – Harrison Ford admits he's banged to some of his movie soundtracks1:37:00-1:47:00 – Kickboxer pulls car with his balls1:47:00-2:11:00 – Guy tried to skip out on bill after 15 lapdances at strip club (Tales from the Strip Club)2:11:00-2:13:00 – Priest busted stealing baseball cards from Walmart2:13:00-2:16:00 – German tourist sued taco truck from leaving him in non-stop pain2:16:00-2:18:00 – Snake trapped in woman's car2:18:00-2:22:00 – Yoga with pets (Snake Yoga)2:22:00-2:25:00 – Man used his dog to help rob a place2:25:00-2:31:00 – App to help men stop masturbating exposed all users' information2:31:00-2:35:00 – Lawsuit against David Protein bars for false information2:35:00-2:37:00 – Sister filming in Waymo when it almost gets into accident at intersection2:37:00-2:41:00 – Irish woman called Potato by her boss2:41:00-2:45:00 – Seniors won't let kids play basketball due to noise2:45:00-2:47:00 – Payphone that connects you to a senior home2:47:00-2:50:00 – Gas thieves hit U-Haul lot and cause fire2:50:00-2:54:00 – Guy customize new vehicle to save on gas2:54:00-2:56:00 – Girl Scouts told to stop selling cookies outside of dispensary2:56:00-3:00:00 – People transitioning to harder drugs to stop smoking3:00:00-3:04:00 – Restaurants starting to charge for condiments3:04:00-3:08:00 – Student used ChatGPT to text date3:08:00-End – Naked man terrorizes neighborhoodSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Thu, 12 Mar 2026 23:00:00 GMT http://relay.fm/material/558 http://relay.fm/material/558 Andy Ihnatko and Florence Ion Andy and Flo explore the competitive threat posed by Apple's new MacBook Neo. They're both unsurprised that YouTube has officially surpassed the Mouse in revenue. The hosts also examine the very difficult week for Waymo's self-driving fleet. Andy and Flo explore the competitive threat posed by Apple's new MacBook Neo. They're both unsurprised that YouTube has officially surpassed the Mouse in revenue. The hosts also examine the very difficult week for Waymo's self-driving fleet. clean 4047 Andy and Flo explore the competitive threat posed by Apple's new MacBook Neo. They're both unsurprised that YouTube has officially surpassed the Mouse in revenue. The hosts also examine the very difficult week for Waymo's self-driving fleet. Links and Show Notes: Say hello to MacBook Neo—or don't! YouTube Lays Claim to Another Crown: The World's Largest Media Company Google faces lawsuit after Gemini chatbot allegedly instructed man to kill himself Waymo restricts some routes after viral video shows car had a near miss with Texas train Waymo Robotaxi Tries to Cross 8 Lanes—Passengers Start Screaming Waymo robotaxi blocks EMS responding to Austin mass shooting Uncovered records reveal the hidden costs of Waymo robotaxis on San Francisco streets Alphabet CEO Sundar Pichai's new $692 million compensation package hinges on the success of two Google moonshots that aren't making any money

On today's episode, cohosts Elizabeth Segran and Josh Christensen discuss the latest news in business and innovation, including the economic effects of the war in Iran, Microsoft's support for Anthropic in the lawsuit against the Trump administration, and the latest jobs report.  Next, Elizabeth and John talk with Fast Company senior writer Rebecca Heilweil about how the self-driving Waymo robotaxis are causing problems for the transit systems in San Francisco and other cities.  And finally, Josh speaks with Mozilla CEO Athony Enzor-DeMeo about how Mozilla plans to build trust, grow its user base, and diversify its revenue. To check out Rebecca's reporting on Waymo, go to: https://www.fastcompany.com/91501807/waymo-robotaxis-san-francisco-uncovered-records-exclusive For more of the latest business and innovation news, go to fastcompany.com/news

Thu, 12 Mar 2026 23:00:00 GMT http://relay.fm/material/558 http://relay.fm/material/558 A Brown Trouser Moment 558 Andy Ihnatko and Florence Ion Andy and Flo explore the competitive threat posed by Apple's new MacBook Neo. They're both unsurprised that YouTube has officially surpassed the Mouse in revenue. The hosts also examine the very difficult week for Waymo's self-driving fleet. Andy and Flo explore the competitive threat posed by Apple's new MacBook Neo. They're both unsurprised that YouTube has officially surpassed the Mouse in revenue. The hosts also examine the very difficult week for Waymo's self-driving fleet. clean 4047 Andy and Flo explore the competitive threat posed by Apple's new MacBook Neo. They're both unsurprised that YouTube has officially surpassed the Mouse in revenue. The hosts also examine the very difficult week for Waymo's self-driving fleet. Links and Show Notes: Say hello to MacBook Neo—or don't! YouTube Lays Claim to Another Crown: The World's Largest Media Company Google faces lawsuit after Gemini chatbot allegedly instructed man to kill himself Waymo restricts some routes after viral video shows car had a near miss with Texas train Waymo Robotaxi Tries to Cross 8 Lanes—Passengers Start Screaming Waymo robotaxi blocks EMS responding to Austin mass shooting Uncovered records reveal the hidden costs of Waymo robotaxis on San Francisco streets Alphabet CEO Sundar Pichai's new $692 million compensation package hinges on the success of two Google moonshots that aren't making any money Support M

The PHP Podcast streams live, typically every Thursday at 3 PM PT. Come join us and subscribe to our YouTube channel. Another fun episode of the PHP Podcast! Here’s what we covered: Internet Woes & Technical Difficulties Eric continued his saga with connectivity issues, dropping multiple times on Zoom calls and even during the podcast. After trying everything from coax cable converters to different network setups, he’s considering just running a new network cable to his office. The Wi-Fi experiment during the show… didn’t go great. First Waymo Experience John shared his first ride in a Waymo self-driving car! While the wife wasn’t thrilled about having to walk to a specific pickup spot, the experience was pretty impressive. One weird moment: the car got confused by a bus at a 45-degree angle and started creeping into the left lane. Overall verdict: comfortable, cheaper than Uber, and no awkward small talk required. Eric’s Coding Adventure In a rare “Eric writes code” moment, he debugged a POC project by littering the codebase with 15+ write-to-log statements (because who needs X debug?). The culprit? A renamed variable he forgot to update elsewhere. Classic. John was horrified to learn there’s no static analysis running. The demo went well… until someone asked to see the customer interface. MySQL 8.0 → 8.4 Upgrade Planning John’s been preparing for the MySQL 8.0 to 8.4 upgrade (8.0 is end of life). The previous team left amazing documentation, but there’s one major issue: the DBA rejected converting from utf8mb3 to utf8mb4 character set because the tables are so massive it would lock them for way too long. That’s a problem for future John. AWS S3 Cleanup – 75 Million Files! John tackled a years-old problem: phone call recordings stored as both WAV and MP3 files in S3. The cleanup script identified 75 million WAV files to delete, which took a day and a half to process. Potential savings: $100/day. Joe asked about intelligent tiering, which… yeah, probably should look into that. PHP Tek 2026 – 68 Days Away! The conference schedule is live! Four tracks (three PHP Tek + one JS Tek), hotel rooms at the discounted rate are going fast, and Eric admitted he skipped Scale this year because he was just too exhausted. Focus is on PHP Tek now! Laravel 13 Dropping March 17 Laravel 13 is dropping on Tuesday with a focus on moving from protected properties to attributes. According to the article, there are no breaking changes (we’ll see about that). Overall, it’s a light upgrade with some new features but nothing earth-shattering. March Friday the 13th Anniversary Eric and Beck’s dating anniversary! They started dating on March Friday the 13th, 1987, when Eric picked her up at 5 PM for a midnight showing of a terrible Burt Reynolds movie called “Heat” (which apparently doesn’t exist according to IMDB). The whole show tried to help figure out what movie it actually was. Spoiler, it was called HEAT PHPUnit 13 Released Sebastian Bergmann appeared on PHP Alive & Kicking to talk about PHPUnit 13. The big change: array of assertions. The show also features a hard deprecation of some older methods. Check out the release for all the details. OpenClaw/Archie AI Success Eric’s thrilled with how the team is using the OpenClaw AI agent for daily standups. Team members are not only doing their morning standups but updating it throughout the day and even asking it to check for security alerts. The engagement has been way beyond expectations. Now Eric’s fighting the temptation to buy a Mac Mini to run it properly and get it back on Ollama, saving on API costs. Links from the show: PHP Tek 2026 – The Premier PHP Conference WiFi Mapping User Guide – Turn your router into a see-through-walls device WiFi Mapping Demo on X Laravel 13 drops March 17 — here’s every new feature with code examples X: https://x.com/phparch Mastodon: https://phparch.social/@phparch Bluesky: https://bsky.app/profile/phparch.com Discord: https://discord.phparch.com Subscribe to our magazine: https://www.phparch.com/subscribe/ Host: Eric Van Johnson X: @shocm Mastodon: @eric@phparch.social Bluesky: @ericvanjohnson.bsky.social PHPArch.me: @eric John Congdon X: @johncongdon Mastodon: @john@phparch.social Bluesky: @johncongdon.bsky.social PHPArch.me: @john Streams: Youtube Channel Twitch Partner This podcast is made a little better thanks to our partners Displace Infrastructure Management, Simplified Automate Kubernetes deployments across any cloud provider or bare metal with a single command. Deploy, manage, and scale your infrastructure with ease. https://displace.tech/ PHPScore Put Your Technical Debt on Autopay with PHPScore CodeRabbit Cut code review time & bugs in half instantly with CodeRabbit. Music Provided by Epidemic Sound https://www.epidemicsound.com/ The post The PHP Podcast 2026.03.12 appeared first on PHP Architect.

0:00-1:00 – Show Open1:00-4:00 – Dave was freaked out by lightning this morning4:00-6:00 – AI video of Cort being suck out of the window by tornado6:00-10:00 – Fair wand for tapping your credit card10:00-13:00 – 80-year-old man redeems free oyster offer with 99-year-old dad13:00-20:00 – The CEO of Burger King is changing the fries20:00-38:00 – Heinz machine that lets you mix your own condiments38:00-42:00 – Guy went into college dorm to film students in shower42:00-50:00 – Amazon driver confronted by customer at end of long rural driveway50:00-52:00 – Old guy rescued from burning car after crash52:00-55:00 – Old person crashed into apartment55:00-57:00 – Waymo stopped just before train crossing57:00-1:02:00 – Hiker rescued after becoming dehydrated1:02:00-1:08:00 – NFL player accused of murder and used ChatGPT to help plan it1:08:00-1:11:00 – Miami Heat player scored 83 points1:11:00-1:15:00 – Guy who tripped at finish line accidentally ran wrong way during race1:15:00-1:17:00 – Woman suing over baseball that hit her1:17:00-1:21:00 – Man suing after being knocked unconscious by full can of beer at Jason Aldean show1:21:00-1:25:00 – Kevin Federline out of money1:25:00-1:28:00 – Richest celebs in the world1:28:00-1:37:00 – Things that terrified you as a kid in the 80s1:37:00-1:40:00 – Woman broke into house and ate Fruity Pebbles1:40:00-1:45:00 – Woman attacked after confronting person who was parking in her paid spot1:45:00-1:54:00 – Guy vacationing in Vegas stung by scorpion in hotel1:54:00-1:58:00 – Mountain lion attacks while people are in hot tub1:58:00-2:24:00 – Foot doctor busted taping his employees in bathroom (what was your inappropriate doctor encounter?)2:24:00-2:29:00 – Guy high on mushrooms arrested hours into 18th birthday2:29:00-2:35:00 – Guy robbed by woman he brought back to hotel room2:35:00-2:38:00 – 2 ladies try to sneak contraband into prison attached to crows2:38:00-2:44:00 – Man claims that Ozempic left him legally blind2:44:00-2:46:00 – Premium chocolate sales increased for people on weight loss drug medication2:46:00-2:50:00 – Buffalo Wild Wings introducing chicken flavored espresso proteini2:50:00-2:55:00 – Frambled Egg trend2:55:00-2:57:00 – Tomato engineered to smell like buttered popcorn2:57:00-3:00:00 – Fight on plane mid-flight3:00:00-3:03:00 – Baby getting locked in EV after faulty battery3:03:00-3:06:00 – Guy used ChatGPT to sell his house3:06:00-3:10:00 – Police robot dogs patrolling streets of Atlanta3:10:00-3:12:00 – Co gallstones become valuable3:12:00-3:16:00 – Retirement home for penguins3:16:00-End – Badass teen subdues man with axe See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Jonny survives a monsoon, a drunk Brit, and influencer hell at ModaMiami, and then James Marsden stops by to talk playing the President, driving McLarens on screen, and why his 911 finally got a new windshield. ______________________________________________

Alex and Kevin are together again on opposite sides of the Country. Kevin, live from SF, gives an honest review of his first Waymo ride, shares about his recent travels, and his surprising adoption of the Oakley Meta Glasses gifted to him by Alex. The two go on to discuss Zuck's Miami mansion, looksmaxxing, burger mogging, the new Snapple Rebrand, The Update Update, David's new protein ice cream, World's First Music-Streaming Urn, and more!

KSTP-TV political reporter Tom Hauser joins Chad with his usual excellent knowledge about what's happening in St. Paul with talk about updating the computer systems at DHS, term limits discussion, sports betting, driverless vehicles and more.

Tom Hauser of KSTP-TV gives us great analysis of many items being discussed right now at the Capitol in St. Paul before some fun on subjects like the proper hours to operate noisy lawn and snow removal equipment without angering your neighbors and our trust in jumping into a Waymo driverless car.

Tim Conway Jr. Hour 4 (3.9) Conway turns the mic over to the listeners for a full hour of Talkback Time, featuring everything from Waymo horror stories and Centrum Silver praise to one very passionate take on chicken. The hour closes with Noory cross-talk and a fun trip down memory lane about calling radio stations as a kid. See omnystudio.com/listener for privacy information.

Join Kyle, Nader, Vibhu, and swyx live at NVIDIA GTC next week!Now that AIE Europe tix are ~sold out, our attention turns to Miami and World's Fair!The definitive AI Accelerator chip company has more than 10xed this AI Summer:And is now a $4.4 trillion megacorp… that is somehow still moving like a startup. We are blessed to have a unique relationship with our first ever NVIDIA guests: Kyle Kranen who gave a great inference keynote at the first World's Fair and is one of the leading architects of NVIDIA Dynamo (a Datacenter scale inference framework supporting SGLang, TRT-LLM, vLLM), and Nader Khalil, a friend of swyx from our days in Celo in The Arena, who has been drawing developers at GTC since before they were even a glimmer in the eye of NVIDIA:Nader discusses how NVIDIA Brev has drastically reduced the barriers to entry for developers to get a top of the line GPU up and running, and Kyle explains NVIDIA Dynamo as a data center scale inference engine that optimizes serving by scaling out, leveraging techniques like prefill/decode disaggregation, scheduling, and Kubernetes-based orchestration, framed around cost, latency, and quality tradeoffs. We also dive into Jensen's “SOL” (Speed of Light) first-principles urgency concept, long-context limits and model/hardware co-design, internal model APIs (https://build.nvidia.com), and upcoming Dynamo and agent sessions at GTC.Full Video pod on YouTubeTimestamps00:00 Agent Security Basics00:39 Podcast Welcome and Guests07:19 Acquisition and DevEx Shift13:48 SOL Culture and Dynamo Setup27:38 Why Scale Out Wins29:02 Scale Up Limits Explained30:24 From Laptop to Multi Node33:07 Cost Quality Latency Tradeoffs38:42 Disaggregation Prefill vs Decode41:05 Kubernetes Scaling with Grove43:20 Context Length and Co Design57:34 Security Meets Agents58:01 Agent Permissions Model59:10 Build Nvidia Inference Gateway01:01:52 Hackathons And Autonomy Dreams01:10:26 Local GPUs And Scaling Inference01:15:31 Long Running Agents And SF ReflectionsTranscriptAgent Security BasicsNader: Agents can do three things. They can access your files, they can access the internet, and then now they can write custom code and execute it. You literally only let an agent do two of those three things. If you can access your files and you can write custom code, you don't want internet access because that's one to see full vulnerability, right?If you have access to internet and your file system, you should know the full scope of what that agent's capable of doing. Otherwise, now we can get injected or something that can happen. And so that's a lot of what we've been thinking about is like, you know, how do we both enable this because it's clearly the future.But then also, you know, what, what are these enforcement points that we can start to like protect?swyx: All right.Podcast Welcome and Guestsswyx: Welcome to the Lean Space podcast in the Chromo studio. Welcome to all the guests here. Uh, we are back with our guest host Viu. Welcome. Good to have you back. And our friends, uh, Netter and Kyle from Nvidia. Welcome.Kyle: Yeah, thanks for having us.swyx: Yeah, thank you. Actually, I don't even know your titles.Uh, I know you're like architect something of Dynamo.Kyle: Yeah. I, I'm one of the engineering leaders [00:01:00] and a architects of Dynamo.swyx: And you're director of something and developers, developer tech.Nader: Yeah.swyx: You're the developers, developers, developers guy at nvidia,Nader: open source agent marketing, brev,swyx: and likeNader: Devrel tools and stuff.swyx: Yeah. BeenNader: the focus.swyx: And we're, we're kind of recording this ahead of Nvidia, GTC, which is coming to town, uh, again, uh, or taking over town, uh, which, uh, which we'll all be at. Um, and we'll talk a little bit about your sessions and stuff. Yeah.Nader: We're super excited for it.GTC Booth Stunt Storiesswyx: One of my favorite memories for Nader, like you always do like marketing stunts and like while you were at Rev, you like had this surfboard that you like, went down to GTC with and like, NA Nvidia apparently, like did so much that they bought you.Like what, what was that like? What was that?Nader: Yeah. Yeah, we, we, um. Our logo was a chaka. We, we, uh, we were always just kind of like trying to keep true to who we were. I think, you know, some stuff, startups, you're like trying to pretend that you're a bigger, more mature company than you are. And it was actually Evan Conrad from SF Compute who was just like, you guys are like previousswyx: guest.Yeah.Nader: Amazing. Oh, really? Amazing. Yeah. He was just like, guys, you're two dudes in the room. Why are you [00:02:00] pretending that you're not? Uh, and so then we were like, okay, let's make the logo a shaka. We brought surfboards to our booth to GTC and the energy was great. Yeah. Some palm trees too. They,Kyle: they actually poked out over like the, the walls so you could, you could see the bread booth.Oh, that's so funny. AndNader: no one else,Kyle: just from very far away.Nader: Oh, so you remember it backKyle: then? Yeah I remember it pre-acquisition. I was like, oh, those guys look cool,Nader: dude. That makes sense. ‘cause uh, we, so we signed up really last minute, and so we had the last booth. It was all the way in the corner. And so I was, I was worried that no one was gonna come.So that's why we had like the palm trees. We really came in with the surfboards. We even had one of our investors bring her dog and then she was just like walking the dog around to try to like, bring energy towards our booth. Yeah.swyx: Steph.Kyle: Yeah. Yeah, she's the best,swyx: you know, as a conference organizer, I love that.Right? Like, it's like everyone who sponsors a conference comes, does their booth. They're like, we are changing the future of ai or something, some generic b******t and like, no, like actually try to stand out, make it fun, right? And people still remember it after three years.Nader: Yeah. Yeah. You know what's so funny?I'll, I'll send, I'll give you this clip if you wanna, if you wanna add it [00:03:00] in, but, uh, my wife was at the time fiance, she was in medical school and she came to help us. ‘cause it was like a big moment for us. And so we, we bought this cricket, it's like a vinyl, like a vinyl, uh, printer. ‘cause like, how else are we gonna label the surfboard?So, we got a surfboard, luckily was able to purchase that on the company card. We got a cricket and it was just like fine tuning for enterprises or something like that, that we put on the. On the surfboard and it's 1:00 AM the day before we go to GTC. She's helping me put these like vinyl stickers on.And she goes, you son of, she's like, if you pull this off, you son of a b***h. And so, uh, right. Pretty much after the acquisition, I stitched that with the mag music acquisition. I sent it to our family group chat. Ohswyx: Yeah. No, well, she, she made a good choice there. Was that like basically the origin story for Launchable is that we, it was, and maybe we should explain what Brev is andNader: Yeah.Yeah. Uh, I mean, brev is just, it's a developer tool that makes it really easy to get a GPU. So we connect a bunch of different GPU sources. So the basics of it is like, how quickly can we SSH you into a G, into a GPU and whenever we would talk to users, they wanted A GPU. They wanted an A 100. And if you go to like any cloud [00:04:00] provisioning page, usually it's like three pages of forms or in the forms somewhere there's a dropdown.And in the dropdown there's some weird code that you know to translate to an A 100. And I remember just thinking like. Every time someone says they want an A 100, like the piece of text that they're telling me that they want is like, stuffed away in the corner. Yeah. And so we were like, what if the biggest piece of text was what the user's asking for?And so when you go to Brev, it's just big GPU chips with the type that you want withswyx: beautiful animations that you worked on pre, like pre you can, like, now you can just prompt it. But back in the day. Yeah. Yeah. Those were handcraft, handcrafted artisanal code.Nader: Yeah. I was actually really proud of that because, uh, it was an, i I made it in Figma.Yeah. And then I found, I was like really struggling to figure out how to turn it from like Figma to react. So what it actually is, is just an SVG and I, I have all the styles and so when you change the chip, whether it's like active or not it changes the SVG code and that somehow like renders like, looks like it's animating, but it, we just had the transition slow, but it's just like the, a JavaScript function to change the like underlying SVG.Yeah. And that was how I ended up like figuring out how to move it from from Figma. But yeah, that's Art Artisan. [00:05:00]Kyle: Speaking of marketing stunts though, he actually used those SVGs. Or kind of use those SVGs to make these cards.Nader: Oh yeah. LikeKyle: a GPU gift card Yes. That he handed out everywhere. That was actually my first impression of thatNader: one.Yeah,swyx: yeah, yeah.Nader: Yeah.swyx: I think I still have one of them.Nader: They look great.Kyle: Yeah.Nader: I have a ton of them still actually in our garage, which just, they don't have labels. We should honestly like bring, bring them back. But, um, I found this old printing press here, actually just around the corner on Ven ness. And it's a third generation San Francisco shop.And so I come in an excited startup founder trying to like, and they just have this crazy old machinery and I'm in awe. ‘cause the the whole building is so physical. Like you're seeing these machines, they have like pedals to like move these saws and whatever. I don't know what this machinery is, but I saw all three generations.Like there's like the grandpa, the father and the son, and the son was like, around my age. Well,swyx: it's like a holy, holy trinity.Nader: It's funny because we, so I just took the same SVG and we just like printed it and it's foil printing, so they make a a, a mold. That's like an inverse of like the A 100 and then they put the foil on it [00:06:00] and then they press it into the paper.And I remember once we got them, he was like, Hey, don't forget about us. You know, I guess like early Apple and Cisco's first business cards were all made there. And so he was like, yeah, we, we get like the startup businesses but then as they mature, they kind of go somewhere else. And so I actually, I think we were talking with marketing about like using them for some, we should go back and make some cards.swyx: Yeah, yeah, yeah. You know, I remember, you know, as a very, very small breadth investor, I was like, why are we spending time like, doing these like stunts for GPUs? Like, you know, I think like as a, you know, typical like cloud hard hardware person, you go into an AWS you pick like T five X xl, whatever, and it's just like from a list and you look at the specs like, why animate this GP?And, and I, I do think like it just shows the level of care that goes throughout birth and Yeah. And now, and also the, and,Nader: and Nvidia. I think that's what the, the thing that struck me most when we first came in was like the amount of passion that everyone has. Like, I think, um, you know, you talk to, you talk to Kyle, you talk to, like, every VP that I've met at Nvidia goes so close to the metal.Like, I remember it was almost a year ago, and like my VP asked me, he's like, Hey, [00:07:00] what's cursor? And like, are you using it? And if so, why? Surprised at this, and he downloaded Cursor and he was asking me to help him like, use it. And I thought that was, uh, or like, just show him what he, you know, why we were using it.And so, the amount of care that I think everyone has and the passion, appreciate, passion and appreciation for the moment. Right. This is a very unique time. So it's really cool to see everyone really like, uh, appreciate that.swyx: Yeah.Acquisition and DevEx Shiftswyx: One thing I wanted to do before we move over to sort of like research topics and, uh, the, the stuff that Kyle's working on is just tell the story of the acquisition, right?Like, not many people have been, been through an acquisition with Nvidia. What's it like? Uh, what, yeah, just anything you'd like to say.Nader: It's a crazy experience. I think, uh, you know, we were the thing that was the most exciting for us was. Our goal was just to make it easier for developers.We wanted to find access to GPUs, make it easier to do that. And then all, oh, actually your question about launchable. So launchable was just make one click exper, like one click deploys for any software on top of the GPU. Mm-hmm. And so what we really liked about Nvidia was that it felt like we just got a lot more resources to do all of that.I think, uh, you [00:08:00] know, NVIDIA's goal is to make things as easy for developers as possible. So there was a really nice like synergy there. I think that, you know, when it comes to like an acquisition, I think the amount that the soul of the products align, I think is gonna be. Is going speak to the success of the acquisition.Yeah. And so it in many ways feels like we're home. This is a really great outcome for us. Like we you know, I love brev.nvidia.com. Like you should, you should use it's, it's theKyle: front page for GPUs.Nader: Yeah. Yeah. If you want GP views,Kyle: you go there, getswyx: it there, and it's like internally is growing very quickly.I, I don't remember You said some stats there.Nader: Yeah, yeah, yeah. It's, uh, I, I wish I had the exact numbers, but like internally, externally, it's been growing really quickly. We've been working with a bunch of partners with a bunch of different customers and ISVs, if you have a solution that you want someone that runs on the GPU and you want people to use it quickly, we can bundle it up, uh, in a launchable and make it a one click run.If you're doing things and you want just like a sandbox or something to run on, right. Like open claw. Huge moment. Super exciting. Our, uh, and we'll talk into it more, but. You know, internally, people wanna run this, and you, we know we have to be really careful from the security implications. Do we let this run on the corporate network?Security's guidance was, Hey, [00:09:00] run this on breath, it's in, you know, it's, it's, it's a vm, it's sitting in the cloud, it's off the corporate network. It's isolated. And so that's been our stance internally and externally about how to even run something like open call while we figure out how to run these things securely.But yeah,swyx: I think there's also like, you almost like we're the right team at the right time when Nvidia is starting to invest a lot more in developer experience or whatever you call it. Yeah. Uh, UX or I don't know what you call it, like software. Like obviously NVIDIA is always invested in software, but like, there's like, this is like a different audience.Yeah. It's aNader: widerKyle: developer base.swyx: Yeah. Right.Nader: Yeah. Yeah. You know, it's funny, it's like, it's not, uh,swyx: so like, what, what is it called internally? What, what is this that people should be aware that is going on there?Nader: Uh, what, like developer experienceswyx: or, yeah, yeah. Is it's called just developer experience or is there like a broader strategy hereNader: in Nvidia?Um, Nvidia always wants to make a good developer experience. The thing is and a lot of the technology is just really complicated. Like, it's not, it's uh, you know, I think, um. The thing that's been really growing or the AI's growing is having a huge moment, not [00:10:00] because like, let's say data scientists in 2018, were quiet then and are much louder now.The pie is com, right? There's a whole bunch of new audiences. My mom's wondering what she's doing. My sister's learned, like taught herself how to code. Like the, um, you know, I, I actually think just generally AI's a big equalizer and you're seeing a more like technologically literate society, I guess.Like everyone's, everyone's learning how to code. Uh, there isn't really an excuse for that. And so building a good UX means that you really understand who your end user is. And when your end user becomes such a wide, uh, variety of people, then you have to almost like reinvent the practice, right? Yeah. You haveKyle: to, and actually build more developer ux, right?Because the, there are tiers of developer base that were added. You know, the, the hackers that are building on top of open claw, right? For example, have never used gpu. They don't know what kuda is. They, they, they just want to run something.Nader: Yeah.Kyle: You need new UX that is not just. Hey, you know, how do you program something in Cuda and run it?And then, and then we built, you know, like when Deep Learning was getting big, we built, we built Torch and, and, but so recently the amount of like [00:11:00] layers that are added to that developer stack has just exploded because AI has become ubiquitous. Everyone's using it in different ways. Yeah. It'sNader: moving fast in every direction.Vertical, horizontal.Vibhu: Yeah. You guys, you even take it down to hardware, like the DGX Spark, you know, it's, it's basically the same system as just throwing it up on big GPU cluster.Nader: Yeah, yeah, yeah. It's amazing. Blackwell.swyx: Yeah. Uh, we saw the preview at the last year's GTC and that was one of the better performing, uh, videos so far, and video coverage so far.Awesome. This will beat it. Um,Nader: that wasswyx: actually, we have fingersNader: crossed. Yeah.DGX Spark and Remote AccessNader: Even when Grace Blackwell or when, um, uh, DGX Spark was first coming out getting to be involved in that from the beginning of the developer experience. And it just comes back to what youswyx: were involved.Nader: Yeah. St. St.swyx: Mars.Nader: Yeah. Yeah. I mean from, it was just like, I, I got an email, we just got thrown into the loop and suddenly yeah, I, it was actually really funny ‘cause I'm still pretty fresh from the acquisition and I'm, I'm getting an email from a bunch of the engineering VPs about like, the new hardware, GPU chip, like we're, or not chip, but just GPU system that we're putting out.And I'm like, okay, cool. Matters. Now involved with this for the ux, I'm like. What am I gonna do [00:12:00] here? So, I remember the first meeting, I was just like kind of quiet as I was hearing engineering VPs talk about what this box could be, what it could do, how we should use it. And I remember, uh, one of the first ideas that people were idea was like, oh, the first thing that it was like, I think a quote was like, the first thing someone's gonna wanna do with this is get two of them and run a Kubernetes cluster on top of them.And I was like, oh, I think I know why I'm here. I was like, the first thing we're doing is easy. SSH into the machine. And then, and you know, just kind of like scoping it down of like, once you can do that every, you, like the person who wants to run a Kubernetes cluster onto Sparks has a higher propensity for pain, then, then you know someone who buys it and wants to run open Claw right now, right?If you can make sure that that's as effortless as possible, then the rest becomes easy. So there's a tool called Nvidia Sync. It just makes the SSH connection really simple. So, you know, if you think about it like. If you have a Mac, uh, or a PC or whatever, if you have a laptop and you buy this GPU and you want to use it, you should be able to use it like it's A-A-G-P-U in the cloud, right?Um, but there's all this friction of like, how do you actually get into that? That's part of [00:13:00] Revs value proposition is just, you know, there's a CLI that wraps SSH and makes it simple. And so our goal is just get you into that machine really easily. And one thing we just launched at CES, it's in, it's still in like early access.We're ironing out some kinks, but it should be ready by GTC. You can register your spark on Brev. And so now if youswyx: like remote managed yeah, local hardware. Single pane of glass. Yeah. Yeah. Because Brev can already manage other clouds anyway, right?Vibhu: Yeah, yeah. And you use the spark on Brev as well, right?Nader: Yeah. But yeah, exactly. So, so you, you, so you, you set it up at home you can run the command on it, and then it gets it's essentially it'll appear in your Brev account, and then you can take your laptop to a Starbucks or to a cafe, and you'll continue to use your, you can continue use your spark just like any other cloud node on Brev.Yeah. Yeah. And it's just like a pre-provisioned centerswyx: in yourNader: home. Yeah, exactly.swyx: Yeah. Yeah.Vibhu: Tiny little data center.Nader: Tiny little, the size ofVibhu: your phone.SOL Culture and Dynamo Setupswyx: One more thing before we move on to Kyle. Just have so many Jensen stories and I just love, love mining Jensen stories. Uh, my favorite so far is SOL. Uh, what is, yeah, what is S-O-L-S-O-LNader: is actually, i, I think [00:14:00] of all the lessons I've learned, that one's definitely my favorite.Kyle: It'll always stick with you.Nader: Yeah. Yeah. I, you know, in your startup, everything's existential, right? Like we've, we've run out of money. We were like, on the risk of, of losing payroll, we've had to contract our team because we l ran outta money. And so like, um, because of that you're really always forcing yourself to I to like understand the root cause of everything.If you get a date, if you get a timeline, you know exactly why that date or timeline is there. You're, you're pushing every boundary and like, you're not just say, you're not just accepting like a, a no. Just because. And so as you start to introduce more layers, as you start to become a much larger organization, SOL is is essentially like what is the physics, right?The speed of light moves at a certain speed. So if flight's moving some slower, then you know something's in the way. So before trying to like layer reality back in of like, why can't this be delivered at some date? Let's just understand the physics. What is the theoretical limit to like, uh, how fast this can go?And then start to tell me why. ‘cause otherwise people will start telling you why something can't be done. But actually I think any great leader's goal is just to create urgency. Yeah. [00:15:00] There's an infiniteKyle: create compelling events, right?Nader: Yeah.Kyle: Yeah. So l is a term video is used to instigate a compelling event.You say this is done. How do we get there? What is the minimum? As much as necessary, as little as possible thing that it takes for us to get exactly here and. It helps you just break through a bunch of noise.swyx: Yeah.Kyle: Instantly.swyx: One thing I'm unclear about is, can only Jensen use the SOL card? Like, oh, no, no, no.Not everyone get the b******t out because obviously it's Jensen, but like, can someone else be like, no, likeKyle: frontline engineers use it.Nader: Yeah. Every, I think it's not so much about like, get the b******t out. It's like, it's like, give me the root understanding, right? Like, if you tell me something takes three weeks, it like, well, what's the first principles?Yeah, the first principles. It's like, what's the, what? Like why is it three weeks? What is the actual yeah. What's the actual limit of why this is gonna take three weeks? If you're gonna, if you, if let's say you wanted to buy a new computer and someone told you it's gonna be here in five days, what's the SOL?Well, like the SOL is like, I could walk into a Best Buy and pick it up for you. Right? So then anything that's like beyond that is, and is that practical? Is that how we're gonna, you know, let's say give everyone in the [00:16:00] company a laptop, like obviously not. So then like that's the SOL and then it's like, okay, well if we have to get more than 10, suddenly there might be some, right?And so now we can kind of piece the reality back.swyx: So, so this is the. Paul Graham do things that don't scale. Yeah. And this is also the, what people would now call behi agency. Yeah.Kyle: It's actually really interesting because there's a, there's a second hardware angle to SOL that like doesn't come up for all the org sol is used like culturally at aswyx: media for everything.I'm also mining for like, I think that can be annoying sometimes. And like someone keeps going IOO you and you're like, guys, like we have to be stable. We have to, we to f*****g plan. Yeah.Kyle: It's an interesting balance.Nader: Yeah. I encounter that with like, actually just with, with Alec, right? ‘cause we, we have a new conference so we need to launch, we have, we have goals of what we wanna launch by, uh, by the conference and like, yeah.At the end of the day, where isswyx: this GTC?Nader: Um, well this is like, so we, I mean we did it for CES, we did for GT CDC before that we're doing it for GTC San Jose. So I mean, like every, you know, we have a new moment. Um, and we want to launch something. Yeah. And we want to do so at SOL and that does mean that some, there's some level of prioritization that needs [00:17:00] to happen.And so it, it is difficult, right? I think, um, you have to be careful with what you're pushing. You know, stability is important and that should be factored into S-O-L-S-O-L isn't just like, build everything and let it break, you know, that, that's part of the conversation. So as you're laying, layering in all the details, one of them might be, Hey, we could build this, but then it's not gonna be stable for X, y, z reasons.And so that was like, one of our conversations for CES was, you know, hey, like we, we can get this into early access registering your spark with brev. But there are a lot of things that we need to do in order to feel really comfortable from a security perspective, right? There's a lot of networking involved before we deliver that to users.So it's like, okay. Let's get this to a point where we can at least let people experiment with it. We had it in a booth, we had it in Jensen's keynote, and then let's go iron out all the networking kinks. And that's not easy. And so, uh, that can come later. And so that was the way that we layered that back in.Yeah. ButKyle: It's not really about saying like, you don't have to do the, the maintenance or operational work. It's more about saying, you know, it's kind of like [00:18:00] highlights how progress is incremental, right? Like, what is the minimum thing that we can get to. And then there's SOL for like every component after that.But there's the SOL to get you, get you to the, the starting line. And that, that's usually how it's asked. Yeah. On the other side, you know, like SOL came out of like hardware at Nvidia. Right. So SOL is like literally if we ran the accelerator or the GPU with like at basically full speed with like no other constraints, like how FAST would be able to make a program go.swyx: Yeah. Yeah. Right.Kyle: Soswyx: in, in training that like, you know, then you work back to like some percentage of like MFU for example.Kyle: Yeah, that's a, that's a great example. So like, there's an, there's an S-O-L-M-F-U, and then there's like, you know, what's practically achievable.swyx: Cool. Should we move on to sort of, uh, Kyle's side?Uh, Kyle, you're coming more from the data science world. And, uh, I, I mean I always, whenever, whenever I meet someone who's done working in tabular stuff, graph neural networks, time series, these are basically when I go to new reps, I go to ICML, I walk the back halls. There's always like a small group of graph people.Yes. Absolute small group of tabular people. [00:19:00] And like, there's no one there. And like, it's very like, you know what I mean? Like, yeah, no, like it's, it's important interesting work if you care about solving the problems that they solve.Kyle: Yeah.swyx: But everyone else is just LMS all the time.Kyle: Yeah. I mean it's like, it's like the black hole, right?Has the event horizon reached this yet in nerves? Um,swyx: but like, you know, those are, those are transformers too. Yeah. And, and those are also like interesting things. Anyway, uh, I just wanted to spend a little bit of time on, on those, that background before we go into Dynamo, uh, proper.Kyle: Yeah, sure. I took a different path to Nvidia than that, or I joined six years ago, seven, if you count, when I was an intern.So I joined Nvidia, like right outta college. And the first thing I jumped into was not what I'd done in, during internship, which was like, you know, like some stuff for autonomous vehicles, like heavyweight object detection. I jumped into like, you know, something, I'm like, recommenders, this is popular. Andswyx: yeah, he did RexiKyle: as well.Yeah, Rexi. Yeah. I mean that, that was the taboo data at the time, right? You have tables of like, audience qualities and item qualities, and you're trying to figure out like which member of [00:20:00] the audience matches which item or, or more practically which item matches which member of the audience. And at the time, really it was like we were trying to enable.Uh, recommender, which had historically been like a little bit of a CP based workflow into something that like, ran really well in GPUs. And it's since been done. Like there are a bunch of libraries for Axis that run on GPUs. Uh, the common models like Deeplearning recommendation model, which came outta meta and the wide and deep model, which was used or was released by Google were very accelerated by GPUs using, you know, the fast HBM on the chips, especially to do, you know, vector lookups.But it was very interesting at the time and super, super relevant because like we were starting to get like. This explosion of feeds and things that required rec recommenders to just actively be on all the time. And sort of transitioned that a little bit towards graph neural networks when I discovered them because I was like, okay, you can actually use graphical neural networks to represent like, relationships between people, items, concepts, and that, that interested me.So I jumped into that at [00:21:00] Nvidia and, and got really involved for like two-ish years.swyx: Yeah. Uh, and something I learned from Brian Zaro Yeah. Is that you can just kind of choose your own path in Nvidia.Kyle: Oh my God. Yeah.swyx: Which is not a normal big Corp thing. Yeah. Like you, you have a lane, you stay in your lane.Nader: I think probably the reason why I enjoy being in a, a big company, the mission is the boss probably from a startup guy. Yeah. The missionswyx: is the boss.Nader: Yeah. Uh, it feels like a big game of pickup basketball. Like, you know, if you play one, if you wanna play basketball, you just go up to the court and you're like, Hey look, we're gonna play this game and we need three.Yeah. And you just like find your three. That's honestly for every new initiative that's what it feels like. Yeah.Vibhu: It also like shows, right? Like Nvidia. Just releasing state-of-the-art stuff in every domain. Yeah. Like, okay, you expect foundation models with Nemo tron voice just randomly parakeet.Call parakeet just comes out another one, uh, voice. TheKyle: video voice team has always been producing.Vibhu: Yeah. There's always just every other domain of paper that comes out, dataset that comes out. It's like, I mean, it also stems back to what Nvidia has to do, right? You have to make chips years before they're actually produced.Right? So you need to know, you need to really [00:22:00] focus. TheKyle: design process starts likeVibhu: exactlyKyle: three to five years before the chip gets to the market.Vibhu: Yeah. I, I'm curious more about what that's like, right? So like, you have specialist teams. Is it just like, you know, people find an interest, you go in, you go deep on whatever, and that kind of feeds back into, you know, okay, we, we expect predictions.Like the internals at Nvidia must be crazy. Right? You know? Yeah. Yeah. You know, you, you must. Not even without selling to people, you have your own predictions of where things are going. Yeah. And they're very based, very grounded. Right?Kyle: Yeah. It, it, it's really interesting. So there's like two things that I think that Amed does, which are quite interesting.Uh, one is like, we really index into passion. There's a big. Sort of organizational top sound push to like ensure that people are working on the things that they're passionate about. So if someone proposes something that's interesting, many times they can just email someone like way up the chain that they would find this relevant and say like, Hey, can I go work on this?Nader: It's actually like I worked at a, a big company for a couple years before, uh, starting on my startup journey and like, it felt very weird if you were to like email out of chain, if that makes [00:23:00] sense. Yeah. The emails at Nvidia are like mosh pitsswyx: shoot,Nader: and it's just like 60 people, just whatever. And like they're, there's this,swyx: they got messy like, reply all you,Nader: oh, it's in, it's insane.It's insane. They justKyle: help. You know, Maxim,Nader: the context. But, but that's actually like, I've actually, so this is a weird thing where I used to be like, why would we send emails? We have Slack. I am the entire, I'm the exact opposite. I feel so bad for anyone who's like messaging me on Slack ‘cause I'm so unresponsive.swyx: Your emailNader: Maxi, email Maxim. I'm email maxing Now email is a different, email is perfect because man, we can't work together. I'm email is great, right? Because important threads get bumped back up, right? Yeah, yeah. Um, and so Slack doesn't do that. So I just have like this casino going off on the right or on the left and like, I don't know which thread was from where or what, but like the threads get And then also just like the subject, so you can have like working threads.I think what's difficult is like when you're small, if you're just not 40,000 people I think Slack will work fine, but there's, I don't know what the inflection point is. There is gonna be a point where that becomes really messy and you'll actually prefer having email. ‘cause you can have working threads.You can cc more than nine people in a thread.Kyle: You can fork stuff.Nader: You can [00:24:00] fork stuff, which is super nice and just like y Yeah. And so, but that is part of where you can propose a plan. You can also just. Start, honestly, momentum's the only authority, right? So like, if you can just start, start to make a little bit of progress and show someone something, and then they can try it.That's, I think what's been, you know, I think the most effective way to push anything for forward. And that's both at Nvidia and I think just generally.Kyle: Yeah, there's, there's the other concept that like is explored a lot at Nvidia, which is this idea of a zero billion dollar business. Like market creation is a big thing at Nvidia.Like,swyx: oh, you want to go and start a zero billion dollar business?Kyle: Jensen says, we are completely happy investing in zero billion dollar markets. We don't care if this creates revenue. It's important for us to know about this market. We think it will be important in the future. It can be zero billion dollars for a while.I'm probably minging as words here for, but like, you know, like, I'll give an example. NVIDIA's been working on autonomous driving for a a long time,swyx: like an Nvidia car.Kyle: No, they, they'veVibhu: used the Mercedes, right? They're around the HQ and I think it finally just got licensed out. Now they're starting to be used quite a [00:25:00] bit.For 10 years you've been seeing Mercedes with Nvidia logos driving.Kyle: If you're in like the South San Santa Clara, it's, it's actually from South. Yeah. So, um. Zero billion dollar markets are, are a thing like, you know, Jensen,swyx: I mean, okay, look, cars are not a zero billion dollar market. But yeah, that's a bad example.Nader: I think, I think he's, he's messaging, uh, zero today, but, or even like internally, right? Like, like it's like, uh, an org doesn't have to ruthlessly find revenue very quickly to justify their existence. Right. Like a lot of the important research, a lot of the important technology being developed that, that's kind ofKyle: where research, research is very ide ideologically free at Nvidia.Yeah. Like they can pursue things that they wereswyx: Were you research officially?Kyle: I was never in research. Officially. I was always in engineering. Yeah. We in, I'm in an org called Deep Warning Algorithms, which is basically just how do we make things that are relevant to deep warning go fast.swyx: That sounds freaking cool.Vibhu: And I think a lot of that is underappreciated, right? Like time series. This week Google put out time. FF paper. Yeah. A new time series, paper res. Uh, Symantec, ID [00:26:00] started applying Transformers LMS to Yes. Rec system. Yes. And when you think the scale of companies deploying these right. Amazon recommendations, Google web search, it's like, it's huge scale andKyle: Yeah.Vibhu: You want fast?Kyle: Yeah. Yeah. Yeah. Actually it's, it, I, there's a fun moment that brought me like full circle. Like, uh, Amazon Ads recently gave a talk where they talked about using Dynamo for generative recommendation, which was like super, like weirdly cathartic for me. I'm like, oh my God. I've, I've supplanted what I was working on.Like, I, you're using LMS now to do what I was doing five years ago.swyx: Yeah. Amazing. And let's go right into Dynamo. Uh, maybe introduce Yeah, sure. To the top down and Yeah.Kyle: I think at this point a lot of people are familiar with the term of inference. Like funnily enough, like I went from, you know, inference being like a really niche topic to being something that's like discussed on like normal people's Twitter feeds.It's,Nader: it's on billboardsKyle: here now. Yeah. Very, very strange. Driving, driving, seeing just an inference ad on 1 0 1 inference at scale is becoming a lot more important. Uh, we have these moments like, you know, open claw where you have these [00:27:00] agents that take lots and lots of tokens, but produce, incredible results.There are many different aspects of test time scaling so that, you know, you can use more inference to generate a better result than if you were to use like a short amount of inference. There's reasoning, there's quiring, there's, adding agency to the model, allowing it to call tools and use skills.Dyno sort came about at Nvidia. Because myself and a couple others were, were sort of talking about the, these concepts that like, you know, you have inference engines like VLMS, shelan, tenor, TLM and they have like one single copy. They, they, they sort of think about like things as like one single copy, like one replica, right?Why Scale Out WinsKyle: Like one version of the model. But when you're actually serving things at scale, you can't just scale up that replica because you end up with like performance problems. There's a scaling limit to scaling up replicas. So you actually have to scale out to use a, maybe some Kubernetes type terminology.We kind of realized that there was like. A lot of potential optimization that we could do in scaling out and building systems for data [00:28:00] center scale inference. So Dynamo is this data center scale inference engine that sits on top of the frameworks like VLM Shilling and 10 T lm and just makes things go faster because you can leverage the economy of scale.The fact that you have KV cash, which we can define a little bit later, uh, in all these machines that is like unique and you wanna figure out like the ways to maximize your cash hits or you want to employ new techniques in inference like disaggregation, which Dynamo had introduced to the world in, in, in March, not introduced, it was a academic talk, but beforehand.But we are, you know, one of the first frameworks to start, supporting it. And we wanna like, sort of combine all these techniques into sort of a modular framework that allows you to. Accelerate your inference at scale.Nader: By the way, Kyle and I became friends on my first date, Nvidia, and I always loved, ‘cause like he always teaches meswyx: new things.Yeah. By the way, this is why I wanted to put two of you together. I was like, yeah, this is, this is gonna beKyle: good. It's very, it's very different, you know, like we've, we, we've, we've talked to each other a bunch [00:29:00] actually, you asked like, why, why can't we scale up?Nader: Yeah.Scale Up Limits ExplainedNader: model, you said model replicas.Kyle: Yeah. So you, so scale up means assigning moreswyx: heavier?Kyle: Yeah, heavier. Like making things heavier. Yeah, adding more GPUs. Adding more CPUs. Scale out is just like having a barrier saying, I'm gonna duplicate my representation of the model or a representation of this microservice or something, and I'm gonna like, replicate it Many times.Handle, load. And the reason that you can't scale, scale up, uh, past some points is like, you know, there, there, there are sort of hardware bounds and algorithmic bounds on, on that type of scaling. So I'll give you a good example that's like very trivial. Let's say you're on an H 100. The Maxim ENV link domain for H 100, for most Ds H one hundreds is heus, right?So if you scaled up past that, you're gonna have to figure out ways to handle the fact that now for the GPUs to communicate, you have to do it over Infin band, which is still very fast, but is not as fast as ENV link.swyx: Is it like one order of magnitude, like hundreds or,Kyle: it's about an order of magnitude?Yeah. Okay. Um, soswyx: not terrible.Kyle: [00:30:00] Yeah. I, I need to, I need to remember the, the data sheet here, like, I think it's like about 500 gigabytes. Uh, a second unidirectional for ENV link, and about 50 gigabytes a second unidirectional for Infin Band. I, it, it depends on the, the generation.swyx: I just wanna set this up for people who are not familiar with these kinds of like layers and the trash speedVibhu: and all that.Of course.From Laptop to Multi NodeVibhu: Also, maybe even just going like a few steps back before that, like most people are very familiar with. You see a, you know, you can use on your laptop, whatever these steel viol, lm you can just run inference there. All, there's all, you can, youcan run it on thatVibhu: laptop. You can run on laptop.Then you get to, okay, uh, models got pretty big, right? JLM five, they doubled the size, so mm-hmm. Uh, what do you do when you have to go from, okay, I can get 128 gigs of memory. I can run it on a spark. Then you have to go multi GPU. Yeah. Okay. Multi GPU, there's some support there. Now, if I'm a company and I don't have like.I'm not hiring the best researchers for this. Right. But I need to go [00:31:00] multi-node, right? I have a lot of servers. Okay, now there's efficiency problems, right? You can have multiple eight H 100 nodes, but, you know, is that as a, like, how do you do that efficiently?Kyle: Yeah. How do you like represent them? How do you choose how to represent the model?Yeah, exactly right. That's a, that's like a hard question. Everyone asks, how do you size oh, I wanna run GLM five, which just came out new model. There have been like four of them in the past week, by the way, like a bunch of new models.swyx: You know why? Right? Deep seek.Kyle: No comment. Oh. Yeah, but Ggl, LM five, right?We, we have this, new model. It's, it's like a large size, and you have to figure out how to both scale up and scale out, right? Because you have to find the right representation that you care about. Everyone does this differently. Let's be very clear. Everyone figures this out in their own path.Nader: I feel like a lot of AI or ML even is like, is like this. I think people think, you know, I, I was, there was some tweet a few months ago that was like, why hasn't fine tuning as a service taken off? You know, that might be me. It might have been you. Yeah. But people want it to be such an easy recipe to follow.But even like if you look at an ML model and specificKyle: to you Yeah,Nader: yeah.Kyle: And the [00:32:00] model,Nader: the situation, and there's just so much tinkering, right? Like when you see a model that has however many experts in the ME model, it's like, why that many experts? I don't, they, you know, they tried a bunch of things and that one seemed to do better.I think when it comes to how you're serving inference, you know, you have a bunch of decisions to make and there you can always argue that you can take something and make it more optimal. But I think it's this internal calibration and appetite for continued calibration.Vibhu: Yeah. And that doesn't mean like, you know, people aren't taking a shot at this, like tinker from thinking machines, you know?Yeah. RL as a service. Yeah, totally. It's, it also gets even harder when you try to do big model training, right? We're not the best at training Moes, uh, when they're pre-trained. Like we saw this with LAMA three, right? They're trained in such a sparse way that meta knows there's gonna be a bunch of inference done on these, right?They'll open source it, but it's very trained for what meta infrastructure wants, right? They wanna, they wanna inference it a lot. Now the question to basically think about is, okay, say you wanna serve a chat application, a coding copilot, right? You're doing a layer of rl, you're serving a model for X amount of people.Is it a chat model, a coding model? Dynamo, you know, back to that,Kyle: it's [00:33:00] like, yeah, sorry. So you we, we sort of like jumped off of, you know, jumped, uh, on that topic. Everyone has like, their own, own journey.Cost Quality Latency TradeoffsKyle: And I, I like to think of it as defined by like, what is the model you need? What is the accuracy you need?Actually I talked to NA about this earlier. There's three axes you care about. What is the quality that you're able to produce? So like, are you accurate enough or can you complete the task with enough, performance, high enough performance. Yeah, yeah. Uh, there's cost. Can you serve the model or serve your workflow?Because it's not just the model anymore, it's the workflow. It's the multi turn with an agent cheaply enough. And then can you serve it fast enough? And we're seeing all three of these, like, play out, like we saw, we saw new models from OpenAI that you know, are faster. You have like these new fast versions of models.You can change the amount of thinking to change the amount of quality, right? Produce more tokens, but at a higher cost in a, in a higher latency. And really like when you start this journey of like trying to figure out how you wanna host a model, you, you, you think about three things. What is the model I need to serve?How many times do I need to call it? What is the input sequence link was [00:34:00] the, what does the workflow look like on top of it? What is the SLA, what is the latency SLA that I need to achieve? Because there's usually some, this is usually like a constant, you, you know, the SLA that you need to hit and then like you try and find the lowest cost version that hits all of these constraints.Usually, you know, you, you start with those things and you say you, you kind of do like a bit of experimentation across some common configurations. You change the tensor parallel size, which is a form of parallelismVibhu: I take, it goes even deeper first. Gotta think what model.Kyle: Yes, course,ofKyle: course. It's like, it's like a multi-step design process because as you said, you can, you can choose a smaller model and then do more test time scaling and it'll equate the quality of a larger model because you're doing the test time scaling or you're adding a harness or something.So yes, it, it goes way deeper than that. But from the performance perspective, like once you get to the model you need, you need to host, you look at that and you say, Hey. I have this model, I need to serve it at the speed. What is the right configuration for that?Nader: You guys see the recent, uh, there was a paper I just saw like a few days ago that, uh, if you run [00:35:00] the same prompt twice, you're getting like double Just try itagain.Nader: Yeah, exactly.Vibhu: And you get a lot. Yeah. But the, the key thing there is you give the context of the failed try, right? Yeah. So it takes a shot. And this has been like, you know, basic guidance for quite a while. Just try again. ‘cause you know, trying, just try again. Did you try again? All adviceNader: in life.Vibhu: Just, it's a paper from Google, if I'm not mistaken, right?Yeah,Vibhu: yeah. I think it, it's like a seven bas little short paper. Yeah. Yeah. The title's very cute. And it's just like, yeah, just try again. Give it ask context,Kyle: multi-shot. You just like, say like, hey, like, you know, like take, take a little bit more, take a little bit more information, try and fail. Fail.Vibhu: And that basic concept has gone pretty deep.There's like, um, self distillation, rl where you, you do self distillation, you do rl and you have past failure and you know, that gives some signal so people take, try it again. Not strong enough.swyx: Uh, for, for listeners, uh, who listen to here, uh, vivo actually, and I, and we run a second YouTube channel for our paper club where, oh, that's awesome.Vivo just covered this. Yeah. Awesome. Self desolation and all that's, that's why he, to speed [00:36:00] on it.Nader: I'll to check it out.swyx: Yeah. It, it's just a good practice, like everyone needs, like a paper club where like you just read papers together and the social pressure just kind of forces you to just,Nader: we, we,there'sNader: like a big inference.Kyle: ReadingNader: group at a video. I feel so bad every time. I I, he put it on like, on our, he shared it.swyx: One, one ofNader: your guys,swyx: uh, is, is big in that, I forget es han Yeah, yeah,Kyle: es Han's on my team. Actually. Funny. There's a, there's a, there's a employee transfer between us. Han worked for Nater at Brev, and now he, he's on my team.He wasNader: our head of ai. And then, yeah, once we got in, andswyx: because I'm always looking for like, okay, can, can I start at another podcast that only does that thing? Yeah. And, uh, Esan was like, I was trying to like nudge Esan into like, is there something here? I mean, I don't think there's, there's new infant techniques every day.So it's like, it's likeKyle: you would, you would actually be surprised, um, the amount of blog posts you see. And ifswyx: there's a period where it was like, Medusa hydra, what Eagle, like, youKyle: know, now we have new forms of decode, uh, we have new forms of specula, of decoding or new,swyx: what,Kyle: what are youVibhu: excited? And it's exciting when you guys put out something like Tron.‘cause I remember the paper on this Tron three, [00:37:00] uh, the amount of like post train, the on tokens that the GPU rich can just train on. And it, it was a hybrid state space model, right? Yeah.Kyle: It's co-designed for the hardware.Vibhu: Yeah, go design for the hardware. And one of the things was always, you know, the state space models don't scale as well when you do a conversion or whatever the performance.And you guys are like, no, just keep draining. And Nitron shows a lot of that. Yeah.Nader: Also, something cool about Nitron it was released in layers, if you will, very similar to Dynamo. It's, it's, it's essentially it was released as you can, the pre-training, post-training data sets are released. Yeah. The recipes on how to do it are released.The model itself is released. It's full model. You just benefit from us turning on the GPUs. But there are companies like, uh, ServiceNow took the dataset and they trained their own model and we were super excited and like, you know, celebrated that work.ZoomVibhu: different. Zoom is, zoom is CGI, I think, uh, you know, also just to add like a lot of models don't put out based models and if there's that, why is fine tuning not taken off?You know, you can do your own training. Yeah,Kyle: sure.Vibhu: You guys put out based model, I think you put out everything.Nader: I believe I know [00:38:00]swyx: about base. BasicallyVibhu: without baseswyx: basic can be cancelable.Vibhu: Yeah. Base can be cancelable.swyx: Yeah.Vibhu: Safety training.swyx: Did we get a full picture of dymo? I, I don't know if we, what,Nader: what I'd love is you, you mentioned the three axes like break it down of like, you know, what's prefilled decode and like what are the optimizations that we can get with Dynamo?Kyle: Yeah. That, that's, that's, that's a great point. So to summarize on that three axis problem, right, there are three things that determine whether or not something can be done with inference, cost, quality, latency, right? Dynamo is supposed to be there to provide you like the runtime that allows you to pull levers to, you know, mix it up and move around the parade of frontier or the preto surface that determines is this actually possible with inference And AI todayNader: gives you the knobs.Kyle: Yeah, exactly. It gives you the knobs.Disaggregation Prefill vs DecodeKyle: Uh, and one thing that like we, we use a lot in contemporary inference and is, you know, starting to like pick up from, you know, in, in general knowledge is this co concept of disaggregation. So historically. Models would be hosted with a single inference engine. And that inference engine [00:39:00] would ping pong between two phases.There's prefill where you're reading the sequence generating KV cache, which is basically just a set of vectors that represent the sequence. And then using that KV cache to generate new tokens, which is called Decode. And some brilliant researchers across multiple different papers essentially made the realization that if you separate these two phases, you actually gain some benefits.Those benefits are basically a you don't have to worry about step synchronous scheduling. So the way that an inference engine works is you do one step and then you finish it, and then you schedule, you start scheduling the next step there. It's not like fully asynchronous. And the problem with that is you would have, uh, essentially pre-fill and decode are, are actually very different in terms of both their resource requirements and their sometimes their runtime.So you would have like prefill that would like block decode steps because you, you'd still be pre-filing and you couldn't schedule because you know the step has to end. So you remove that scheduling issue and then you also allow you, or you yourself, to like [00:40:00] split the work into two different ki types of pools.So pre-fill typically, and, and this changes as, as model architecture changes. Pre-fill is, right now, compute bound most of the time with the sequence is sufficiently long. It's compute bound. On the decode side because you're doing a full Passover, all the weights and the entire sequence, every time you do a decode step and you're, you don't have the quadratic computation of KV cache, it's usually memory bound because you're retrieving a linear amount of memory and you're doing a linear amount of compute as opposed to prefill where you retrieve a linear amount of memory and then use a quadratic.You know,Nader: it's funny, someone exo Labs did a really cool demo where for the DGX Spark, which has a lot more compute, you can do the pre the compute hungry prefill on a DG X spark and then do the decode on a, on a Mac. Yeah. And soVibhu: that's faster.Nader: Yeah. Yeah.Kyle: So you could, you can do that. You can do machine strat stratification.Nader: Yeah.Kyle: And like with our future generation generations of hardware, we actually announced, like with Reuben, this [00:41:00] new accelerator that is prefilled specific. It's called Reuben, CPX. SoKubernetes Scaling with GroveNader: I have a question when you do the scale out. Yeah. Is scaling out easier with Dynamo? Because when you need a new node, you can dedicate it to either the Prefill or, uh, decode.Kyle: Yeah. So Dynamo actually has like a, a Kubernetes component in it called Grove that allows you to, to do this like crazy scaling specialization. It has like this hot, it's a representation that, I don't wanna go too deep into Kubernetes here, but there was a previous way that you would like launch multi-node work.Uh, it's called Leader Worker Set. It's in the Kubernetes standard, and Leader worker set is great. It served a lot of people super well for a long period of time. But one of the things that it's struggles with is representing a set of cases where you have a multi-node replica that has a pair, right?You know, prefill and decode, or it's not paired, but it has like a second stage that has a ratio that changes over time. And prefill and decode are like two different things as your workload changes, right? The amount of prefill you'll need to do may change. [00:42:00] The amount of decode that you, you'll need to do might change, right?Like, let's say you start getting like insanely long queries, right? That probably means that your prefill scales like harder because you're hitting these, this quadratic scaling growth.swyx: Yeah.And then for listeners, like prefill will be long input. Decode would be long output, for example, right?Kyle: Yeah. So like decode, decode scale. I mean, decode is funny because the amount of tokens that you produce scales with the output length, but the amount of work that you do per step scales with the amount of tokens in the context.swyx: Yes.Kyle: So both scales with the input and the output.swyx: That's true.Kyle: But on the pre-fold view code side, like if.Suddenly, like the amount of work you're doing on the decode side stays about the same or like scales a little bit, and then the prefilled side like jumps up a lot. You actually don't want that ratio to be the same. You want it to change over time. So Dynamo has a set of components that A, tell you how to scale.It tells you how many prefilled workers and decoded workers you, it thinks you should have, and also provides a scheduling API for Kubernetes that allows you to actually represent and affect this scheduling on, on, on your actual [00:43:00] hardware, on your compute infrastructure.Nader: Not gonna lie. I feel a little embarrassed for being proud of my SVG function earlier.swyx: No, itNader: wasreallyKyle: cute. I, Iswyx: likeNader: it's all,swyx: it's all engineering. It's all engineering. Um, that's where I'mKyle: technical.swyx: One thing I'm, I'm kind of just curious about with all with you see at a systems level, everything going on here. Mm-hmm. And we, you know, we're scaling it up in, in multi, in distributed systems.Context Length and Co Designswyx: Um, I think one thing that's like kind of, of the moment right now is people are asking, is there any SOL sort of upper bounds. In terms of like, let's call, just call it context length for one for of a better word, but you can break it down however you like.Nader: Yeah.swyx: I just think like, well, yeah, I mean, like clearly you can engage in hybrid architectures and throw in some state space models in there.All, all you want, but it looks, still looks very attention heavy.Kyle: Yes. Uh, yeah. Long context is attention heavy. I mean, we have these hybrid models, um,swyx: to take and most, most models like cap out at a million contexts and that's it. Yeah. Like for the last two years has been it.Kyle: Yeah. The model hardware context co-design thing that we're seeing these days is actually super [00:44:00] interesting.It's like my, my passion, like my secret side passion. We see models like Kimmy or G-P-T-O-S-S. I'm use these because I, I know specific things about these models. So Kimmy two comes out, right? And it's an interesting model. It's like, like a deep seek style architecture is MLA. It's basically deep seek, scaled like a little bit differently, um, and obviously trained differently as well.But they, they talked about, why they made the design choices for context. Kimmy has more experts, but fewer attention heads, and I believe a slightly smaller attention, uh, like dimension. But I need to remember, I need to check that. Uh, it doesn't matter. But they discussed this actually at length in a blog post on ji, which is like our pu which is like credit puswyx: Yeah.Kyle: Um, in, in China. Chinese red.swyx: Yeah.Kyle: It's, yeah. So it, it's, it's actually an incredible blog post. Uh, like all the mls people in, in, in that, I've seen that on GPU are like very brilliant, but they, they talk about like the creators of Kimi K two [00:45:00] actually like, talked about it on, on, on there in the blog post.And they say, we, we actually did an experiment, right? Attention scales with the number of heads, obviously. Like if you have 64 heads versus 32 heads, you do half the work of attention. You still scale quadratic, but you do half the work. And they made a, a very specific like. Sort of barter in their system, in their architecture, they basically said, Hey, what if we gave it more experts, so we're gonna use more memory capacity.But we keep the amount of activated experts the same. We increase the expert sparsity, so we have fewer experts act. The ratio to of experts activated to number of experts is smaller, and we decrease the number of attention heads.Vibhu: And kind of for context, what the, what we had been seeing was you make models sparser instead.So no one was really touching heads. You're just having, uh,Kyle: well, they, they did, they implicitly made it sparser.Vibhu: Yeah, yeah. For, for Kimmy. They did,Kyle: yes.Vibhu: They also made it sparser. But basically what we were seeing was people were at the level of, okay, there's a sparsity ratio. You want more total parameters, less active, and that's sparsity.[00:46:00]But what you see from papers, like, the labs like moonshot deep seek, they go to the level of, okay, outside of just number of experts, you can also change how many attention heads and less attention layers. More attention. Layers. Layers, yeah. Yes, yes. So, and that's all basically coming back to, just tied together is like hardware model, co-design, which isKyle: hardware model, co model, context, co-design.Vibhu: Yeah.Kyle: Right. Like if you were training a, a model that was like. Really, really short context, uh, or like really is good at super short context tasks. You may like design it in a way such that like you don't care about attention scaling because it hasn't hit that, like the turning point where like the quadratic curve takes over.Nader: How do you consider attention or context as a separate part of the co-design? Like I would imagine hardware or just how I would've thought of it is like hardware model. Co-design would be hardware model context co-designKyle: because the harness and the context that is produced by the harness is a part of the model.Once it's trained in,Vibhu: like even though towards the end you'll do long context, you're not changing architecture through I see. Training. Yeah.Kyle: I mean you can try.swyx: You're saying [00:47:00] everyone's training the harness into the model.Kyle: I would say to some degree, orswyx: there's co-design for harness. I know there's a small amount, but I feel like not everyone has like gone full send on this.Kyle: I think, I think I think it's important to internalize the harness that you think the model will be running. Running into the model.swyx: Yeah. Interesting. Okay. Bash is like the universal harness,Kyle: right? Like I'll, I'll give. An example here, right? I mean, or just like a, like a, it's easy proof, right? If you can train against a harness and you're using that harness for everything, wouldn't you just train with the harness to ensure that you get the best possible quality out of,swyx: Well, the, uh, I, I can provide a counter argument.Yeah, sure. Which is what you wanna provide a generally useful model for other people to plug into their harnesses, right? So if youKyle: Yeah. Harnesses can be open, open source, right?swyx: Yeah. So I mean, that's, that's effectively what's happening with Codex.Kyle: Yeah.swyx: And, but like you may want like a different search tool and then you may have to name it differently or,Nader: I don't know how much people have pushed on this, but can you.Train a model, would it be, have you have people compared training a model for the for the harness versus [00:48:00] like post training forswyx: I think it's the same thing. It's the same thing. It's okay. Just extra post training. INader: see.swyx: And so, I mean, cognition does this course, it does this where you, you just have to like, if your tool is slightly different, um, either force your tool to be like the tool that they train for.Hmm. Or undo their training for their tool and then Oh, that's re retrain. Yeah. It's, it's really annoying and like,Kyle: I would hope that eventually we hit like a certain level of generality with respect to training newswyx: tools. This is not a GI like, it's, this is a really stupid like. Learn my tool b***h.Like, I don't know if, I don't know if I can say that, but like, you know, um, I think what my point kind of is, is that there's, like, I look at slopes of the scaling laws and like, this slope is not working, man. We, we are at a million token con

This is a long-lost Power Salad recording, Craig's vocal demo discovered in 2025 and augmented by Chris resulting in a typically Salady dystopian mess. Sort of a cousin to "In My Driverless Car" thematically, it further delves into what might be happening 11 years on from that recording, with Tesla and Waymo troubles happening around us in real time. Lyrics and vocal (!) by Craig, "I'm Not In Love" choir vocal sample, editing and production by Chris.

40,000 people a year die from traffic accidents in the US. Our guest today is Chinmay Jain, Director of Product Management on Waymo's Driving Behavior team, who is working to make that number 90% smaller. In this episode, Chinmay shares: How he thought through leaving YouTube at its peak to join a moonshot company that could have civilization-level impact Waymo's actual AI eval process, using massive simulations based on millions of real-world driving miles to maximize edge cases, ultimately turning trust into their real product And the misleading, but common, metrics Chinmay and his team learned to spot that could have seriously derailed Waymo's progress Links Chinmay's LinkedIn: https://www.linkedin.com/in/chinmayjain/ Waymo: https://waymo.com/ Chapters 00:00 Introduction 01:40 Chinmay's decision to leave YouTube for Waymo 04:12 How does Waymo test its AI in the physical world? 06:09 Waymo's layered evaluation system 09:53 Simulations and ML gains at Waymo 16:48 Waymo's metrics for safety 21:33 What driving choices make training AI drivers the hardest? 24:00 Conclusion Follow LaunchPod on YouTube We have a new YouTube page! Watch full episodes of our interviews with PM leaders and subscribe! What does LogRocket do? LogRocket's Galileo AI watches user sessions for you and surfaces the technical and usability issues holding back your web and mobile apps. Understand where your users are struggling by trying it for free at LogRocket.com.Special Guest: Chinmay Jain.

This week, Chad had the flu and Cy is preparing to tape a special (and handling it poorly)! Sign up for Chad's ⁠⁠⁠⁠⁠⁠texting list here!⁠⁠⁠⁠⁠⁠ Or, text the word CHAD to 208-379-6947! Sign up for Cy's ⁠⁠⁠⁠⁠⁠texting list here!⁠⁠⁠⁠⁠ Or⁠, text the word SHOW to 202-771-5171! This episode is brought to you by ⁠BetterHelp⁠!⁠⁠⁠⁠⁠⁠⁠⁠ --- Follow us on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Instagram⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠! Chad Daniels (⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@ThatChadDaniels⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠) is a Dad, Comedian, and pancake lover. With over 750 million streams of his 5 albums to date, his audio plays are in the 99th percentile in comedy and music on Pandora alone, averaging over 1MM per week. Chad's previous album, Footprints on the Moon was the most streamed comedy album of 2017, and he has 6 late-night appearances and a Comedy Central Half Hour under his belt. Cy Amundson (⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@CyAmundson⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠) With appearances on Conan, Adam Devine's House Party, and Comedy Central's This is Not Happening, Cy Amundson is fast-proving himself in the world of standup comedy. After cutting his teeth at Acme Comedy Company in Minneapolis, has since appeared on Family Guy and American Dad and as a host on ESPN's SportsCenter on Snapchat. Learn more about your ad choices. Visit podcastchoices.com/adchoices

We would love to hear your feedback!Ep 292 News LinksTwo drivers swap snow-soaked stories that expose how stacking, distance, and clunky app UX turn hot food cold and good intent into fixes on the fly. We break down Uber Eats' no-edit tip change, Walmart Spark's settlement confusion, robots blocking ambulances, and Uber's parking play with SpotHero.• triple stack delays and food temperature trade-offs• message vs notes on DoorDash and misdrop recovery• Uber Eats removes in-app tip edits and support paths• split-tipping ideas and fairness for both sides• Walmart Spark $100m settlement timing and clarity• tickets, towing risk, and private parking enforcement• Uber acquiring SpotHero and in-app parking flow• Waymo blocking emergency vehicles and override needs• DoorDash bot speed, safety, and multi-order security• robot wranglers as new frontline jobs• weekend gig plans and app experimentsSeven-day free trial, three bucks a month. Go to patreon.com/thegigeconpodcastPlease fill out the survey for a chance for a 25.00 Gift Card!   The SafeWork Advantage PodcastMost workplaces react to violence—SafeWork Advantage shows employers how to prevent it.Listen on: Apple Podcasts SpotifySupport the showEverything Gig Economy Podcast Related: Download the audio podcast Newsletter Octopus is a mobile entertainment tablet for your riders. Earn 100.00 per month for having the tablet in your car! No cost for the driver! Want to earn more and stay safe? Download Maxymo Love the show? You now have the opportunity to support the show with some great rewards by becoming a Patron. Tier #2 we offer free merch, an Extra in-depth podcast per month, and an NSFW pre-show https://www.patreon.com/thegigeconpodcast The Gig Economy Podcast Group. Download Telegram 1st, then click on the link to join. TikTok Subscribe on Youtube

This week we break down Wayve's massive $1.2 billion round, Uber's plan to become the global operations layer for autonomy, followed by a punchy debate over remote ops, including congressional scrutiny of Waymo's overseas remote assistants, and what actually counts as “driving” in an autonomous system. Also, Ed has lots to say about NVIDIA investments.

This week on China EVs & More, Tu and Lei break down one of the biggest developments of the year in the global EV industry: BYD's massive technology reset and charging breakthrough.  Facing slowing domestic sales and intensifying competition in China's brutal EV price war, BYD responded with a sweeping announcement: a second-generation Blade Battery, ultra-fast 1500 kW flash charging, and plans to build 20,000 ultra-fast charging stations to support it. The message was clear—BYD intends to stay ahead of rivals like CATL, Geely, and Tesla by pushing the technological frontier.Tu and Lei unpack what this means for China's EV ecosystem, including how ultra-fast charging could challenge battery swapping models and reshape charging infrastructure globally.The episode also explores the widening gap between China's hyper-competitive EV market and the West, where Tesla's Model 3 and Model Y still dominate despite limited product updates. They discuss why Tesla remains the benchmark in autonomy and software—even as Chinese OEMs rapidly close the gap with AI-driven platforms and advanced ADAS systems.Other topics include:The scale of China's EV price war and BYD's strategy to regain momentumRoboSense becoming a major LiDAR supplier for BYD's new vehiclesWhy legacy automakers are struggling to keep pace with Chinese EV innovationThe rise of ultra-affordable EVs like the Geely XingyuanAnd how EV ownership experiences differ dramatically between China and the United StatesWith Tu now on his second EV and Lei about to take delivery of his first Tesla Model Y, the hosts also share real-world perspectives on EV ownership, charging infrastructure, and autonomy features.Fast-moving, analytical, and sometimes provocative, this episode captures the moment when the EV industry's center of gravity continues shifting toward China EV Inc.__________________________________________________________________________________________________

In this episode of China EVs & More, Tu and Lei unpack a rapidly changing global automotive landscape where Chinese EV technology is increasingly powering the future of the industry — even outside China.  The discussion begins with a major shift: European and global automakers are increasingly adopting Chinese EV platforms, batteries, and autonomous driving technology. Stellantis is now exploring LeapMotor technology for Europe, Ford is integrating Chinese battery tech into its upcoming affordable EV, and even German brands are leaning heavily on China to stay competitive.Tu and Lei argue that “China for China” has evolved into “win in China to win globally.” German automakers remain deeply dependent on China for growth, while American automakers face a different challenge: how to remain competitive as Chinese innovation accelerates.The episode also dives deep into the global autonomous vehicle race. Waymo continues scaling robotaxi operations across multiple cities, while Baidu, Pony.ai, and WeRide expand internationally and rapidly accumulate real-world autonomous miles. Meanwhile, new players like Wayve are emerging as potential challengers in the autonomy software space.The hosts explore whether Tesla's robotaxi ambitions can disrupt the existing ecosystem — and why platform players like Uber could ultimately become the dominant intermediaries in autonomous mobility.Finally, Tu and Lei reflect on the future of robotics, automation, and autonomous logistics — from robotaxis to autonomous snowplows, delivery robots, railcars, and even wheelchairs — raising an important question: will autonomy create abundance or major labor disruption?This episode captures a pivotal moment in the EV and autonomy revolution, where the competition is no longer about powertrains — it's about technology ecosystems, speed of innovation, and global scale.

The National Highway Traffic Safety Administration (NHTSA) is bringing the biggest names in autonomous driving to Washington this week. With CEOs from Waymo, Zoox, and Aurora set to appear, regulators are looking for answers on how these driverless systems handle real-world safety laws. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Qasar Younis is the co-founder and CEO of Applied Intuition, a $15 billion AI company that adds intelligence to cars, tractors, planes, submarines, and other vehicles—essentially, Tesla or Waymo without the hardware. He was previously COO of Y Combinator, started his career as an engineer at GM and Bosch, and was born on a farm in Pakistan.We discuss:1. Why the biggest AI revolution will play out in mining, farming, construction, and trucking over the next 5 to 10 years, not in software2. Why Qasar intentionally stayed under the radar for nearly a decade while building Applied Intuition, and why most founders shouldn't do that3. The truth about China's AI capabilities and why comparisons to American companies are fundamentally flawed4. The company values that drive Applied Intuition: speed above everything, laugh a lot, half the work is follow-up, never disappoint the customer5. The biggest lessons from Qasar's stint as YC's COO, including that the most successful companies show traction very early6. How reading old books is the best way to build taste—Brought to you by:Omni—AI analytics your customers can trustVanta—Automate compliance. Simplify security.Lovable—Build apps by simply chatting with AI—Episode transcript: https://www.lennysnewsletter.com/p/the-most-successful-ai-company-youve-never-heard-of—Archive of all Lenny's Podcast transcripts: https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0—Where to find Qasar Younis:• X: https://x.com/qasar• LinkedIn: https://www.linkedin.com/in/qasar• Website: https://qy.co• Reading list: https://qy.co/books—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 Qasar and Applied Intuition(04:01) The optimistic vision: How AI will create abundance(08:49) Why anxiety about AI comes from misunderstanding—and how to fight fear with knowledge(12:58) The market sell-off explained(16:31) Self-driving cars: Why 30,000 annual deaths prove we need autonomy now(20:22) The spectrum of physical AI(28:00) How AI is coming just in time(33:26) Why comparing Chinese AI companies to American AI companies is a category error(39:12) Why Qasar finally joined Twitter after staying silent for a decade(45:08) Why successful companies almost always show early signs of traction(50:40) Applied Intuition's core values(56:00) Why the company cleans its own office—and never spent a dollar of raised capital(58:50) Quasar's reading philosophy(01:06:14) How to operationalize listening to naysayers(01:12:53) The importance of decisiveness(01:14:55) Removing emotions from decisions(01:19:02) Why most Silicon Valley CEOs don't have great taste—and how to develop it—Referenced:• Applied Intuition: https://www.appliedintuition.com• Marc Andreessen: The real AI boom hasn't even started yet: https://www.lennysnewsletter.com/p/marc-andreessen-the-real-ai-boom• Elad Gil's website: https://eladgil.com• Bosch: https://www.bosch.com• Berkshire Hathaway: https://www.berkshirehathaway.com• Naval Ravikant on X: https://x.com/naval• Y Combinator: https://www.ycombinator.com• Waymo: https://waymo.com/• Tesla: https://www.tesla.com• DeepSeek: https://www.deepseek.com• Rivian: https://rivian.com• Crate & Barrel: https://www.crateandbarrel.com• OpenClaw: https://openclaw.ai• Sam Altman on X: https://x.com/sama• Peter Ludwig on LinkedIn: https://www.linkedin.com/in/peterwludwig• What Steve Jobs really meant when he said ‘Good artists copy; great artists steal': https://www.cnet.com/tech/tech-industry/what-steve-jobs-really-meant-when-he-said-good-artists-copy-great-artists-steal• 7 quotes on the power of reading from Charlie Munger: https://www.neil.blog/articles/7-quotes-power-reading-charlie-munger• Andreessen Horowitz: https://a16z.com• John Doerr on LinkedIn: https://www.linkedin.com/in/john-doerr-03248211• Gandhi's quote: https://www.azquotes.com/author/5308-Mahatma_Gandhi/tag/truth#google_vignette• Steve Ballmer on X: https://x.com/Steven_Ballmer• General Motors: https://www.gm.com—Recommended books:• House of Huawei: The Secret History of China's Most Powerful Company: https://www.amazon.com/House-Huawei-History-Powerful-Company/dp/0593544633• Maintenance: Of Everything, Part One: https://press.stripe.com/maintenance-part-one• The Autobiography of Malcolm X: As Told to Alex Haley: https://www.amazon.com/Autobiography-Malcolm-Told-Alex-Haley/dp/0345350685• High Output Management: https://www.amazon.com/High-Output-Management-Andrew-Grove/dp/0679762884• The Emperor of All Maladies: A Biography of Cancer: https://www.amazon.com/Emperor-All-Maladies-Biography-Cancer/dp/1439170916• Made in America: https://www.amazon.com/Sam-Walton-Made-America/dp/0553562835• My American Journey: https://www.amazon.com/American-Journey-Autobiography-Colin-Powell/dp/0679432965• Guns, Germs, and Steel: The Fates of Human Societies: https://www.amazon.com/Guns-Germs-Steel-Fates-Societies/dp/0393317552• Collapse: How Societies Choose to Fail or Succeed: https://www.amazon.com/Collapse-Societies-Choose-Succeed-Revised/dp/0143117009• SPQR: A History of Ancient Rome: https://www.amazon.com/SPQR-History-Ancient-Mary-Beard/dp/0871404230• A World Appears: A Journey into Consciousness: https://www.amazon.com/World-Appears-Journey-into-Consciousness/dp/198488199X—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

In this episode of Blind Abilities, Jeff welcomes Kevin Chao, an early adopter who has taken more than 60 rides in autonomous vehicles across San Francisco and Austin. Kevin shares his firsthand experiences riding in Tesla RoboTaxis, Waymo vehicles, and Amazon's new Zoox autonomous vehicle—built from the ground up with no steering wheel and inward-facing seats. He describes what it's like to request, ride, and interact with these driverless systems while offering feedback that helps improve the experience. From accessibility to independence, Kevin explores what autonomous transportation could mean for blind and low vision travelers as the future of mobility begins arriving today. Thanks for listening!

Tim Conway Jr Show Hour 3 (3.6) Chevy makes history with a machine that’s officially in “who needs only 1,000 horsepower?” territory—jaw-dropping performance, bragging rights, and the kind of speed that makes everyone suddenly become a car expert. Elex Michaelson checks in from CNN headquarters in Atlanta with “The Story Is…” and the latest on the war in Iran—plus the ripple effects hitting everything from global stability to what you’re paying at the pump. The show also spotlights the national tribute for Rev. Jesse Jackson, as major political figures—including former presidents—gather in Chicago to honor his legacy. Back in Southern California: a wind advisory has everyone on edge, Waymo stories keep getting weirder (wrong-way moments, traffic headaches, and “would you ride in one?” becomes the question of the night), and Caltrans drops the hammer with a 55-hour stretch of I-5 repaving closures in Burbank. And because the show always makes room for the pop-culture pivot: Paris Hilton launches a new digital series spotlighting women-run businesses. Finally, you decide how the night ends—replay the best-of moments, or go full Tip Tap Time. See omnystudio.com/listener for privacy information.

This week on Autonomy Markets, Grayson Brulte and Walt Piecyk discuss Grayson's recent field work in Silicon Valley and Walt's observations in London.Together they examine Waymo's technical milestones, specifically Grayson's first-hand experience on the highway and at SFO. During Grayson's ride from SFO to Mountain View, he noted the vehicle's smooth performance across three lanes, its strict adherence to speed limits, and a rare instance of Waymo using its horn when it was cut off.This leads to a broader discussion on Waymo's rapid Miami expansion and their choice of fleet management partners. The conversation then shifts towards the competitive landscape and Grayson's attempt to use the Tesla's robotaxi app in the Valley, which was hampered by wait times exceeding 25 minutes.Over in London, Walt reported on the skepticism of London's black taxi drivers regarding Waymo's efforts in the UK. Closing out the conversation they discussed Glydways expansion in Atlanta and Newark.Episode Chapters00:00 Silicon Valley and London Field Work18:40 Google Gemini20:59 Waymo in London25:27 Waymo's Miami Beach Expansion29:16 Waymo's Fleet Management Strategy 31:55 Autonomous Vehicles in Virginia, Not This Year34:56 Waabi's Robotaxi Messaging 39:06 Glydways Expansion 42:47 Foreign Autonomy Desk43:26 Next WeekRecorded on Friday, March 6, 2026--------About The Road to AutonomyThe Road to Autonomy is the definitive media brand covering the Autonomy Economy™. Through our podcasts, newsletter, and proprietary market intelligence, we set the narrative for institutional investors, industry executives, and policymakers navigating the convergence of automation, autonomy, and economic growth.Sign up for This Week in The Autonomy Economy newsletter: https://www.roadtoautonomy.com/ae/See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In this episode of Selective Ignorance, the hosts explore the rapidly evolving relationship between humans and artificial intelligence, opening with a discussion on the psychology of dating AI and what it means when technology begins to occupy emotional and intimate spaces in people’s lives [ 00:00 ]. The conversation expands into the intersection of technology, intimacy, and digital companionship [ 04:04 ], examining how innovation is reshaping social behavior and human connection. From there, the crew shifts to the rise of autonomous vehicles and what automation could mean for workers in the gig economy and traditional transportation industries [ 10:03 ], leading into a broader critique of capitalism and the growing tension between corporate innovation and worker security [ 12:25 ]. The episode then pivots into music and cultural commentary [ 21:15 ], where the hosts unpack recent hip-hop conversations and the dynamics of loyalty and support within the rap community. A spirited debate emerges around a potential Verzuz-style battle between T.I. and Ludacris, analyzing their catalogs, hit records, and regional impact [26:14 ], before diving deeper into the debate about who truly holds the title of “King of the South” in hip-hop history [30:09 ]. The hosts also discuss how performance ability and stage presence shape the outcome of live musical battles [34:11 ], highlighting the difference between streaming success and live entertainment value. The conversation then shifts toward cultural controversy with reactions to Shia LaBeouf’s recent comments about personal space and homophobia, sparking a wider dialogue about evolving societal expectations and public accountability [ 39:14 ]. The episode concludes with reflections on the current cultural landscape, the responsibility of audiences and artists alike, and a thoughtful reminder for listeners to remain mindful and engaged during Women’s History Month [ 44:58 ]. No Holes Barred: A Dual Manifesto Of Sexual Exploration And Power” w/ Tempest X! Sale Link Follow the host on Social MediaMandii B Instagram/X @fullcourtpumps Follow the crew on Social Media @itsaking @jaysonrodriguez @mrhiphopobama Follow the show on Social MediaInstagram @selectiveignorancepodTiktok @selective.ignoranceX/Twitter @selectiveig_podSee omnystudio.com/listener for privacy information.

Despite this season's lack of snow, Waymo, the autonomous ride share company, says their robotaxis-in-training are still learning how to drive in Denver winters. Then, Stella's Coffee Haus recently announced they are cutting off Wi-Fi at their shop, which has us wondering — should coffee shops even have Wi-Fi? And what's the etiquette for working-from-coffeehouse? Host Bree Davies and producer Olivia Jewell Love and contributor Michelle Jackson to dish on these stories, and of course deliver the wins and fails of the week. Bree talked about the dangerous intersection in Cherry Hills and Dyketopia's March 22 show. Olivia mentioned Denver's bison transfer to Native tribes and the stinky smells at the Lowry Town Center. Michelle discussed the impending snowfall and Colorado's tourism attention on Canada.  For even more news from around the city, subscribe to our morning newsletter at denver.citycast.fm. Follow us on Instagram: @citycastdenver Chat with other listeners on reddit: r/CityCastDenver Support City Cast Denver by becoming a member: membership.citycast.fm Check out our new City Cast podcast "Your City Could Be Better" on YouTube and wherever you get your podcasts. Hosted by CEO David Plotz, this week's episode features Salt Lake City!  What do you think? Text or leave us a voicemail with your name and neighborhood, and you might hear it on the show: 720-500-5418 Learn more about the sponsors of this March 6th episode: Multipass Looking to advertise on City Cast Denver? Check out our options for podcast and newsletter ads at citycast.fm/advertise

INTRO (00:24): Kathleen opens the show drinking a Flash Cat Imperial IPA from Creature Comforts Brewing Company in Athens, GA. She reviews her weekend in Huntsville, AL and Atlanta, eating breakfast at an iconic Waffle House and hanging out with Weather Channel pals backstage.    TOUR NEWS: See Kathleen live on her “Day Drinking Tour.”   TASTING MENU (3:42): Kathleen samples Paul Thomas Chocolate, Chinook Seedery Jalapeno Ranch Sunflower Seeds, and Cheetos Baked Not Fried Crunchy Cheese Snacks.    COURT NEWS (22:00): Kathleen shares news about Martha Stewart's new ambassadorship with Kohler and Dolly pledges to be at the opening day of Dollywood's 2026 season.   HOLLYBOBBY (28:36): HollyBobby provides the latest news in Hollywood.    UPDATES (42:50) : Kathleen shares updates on the new Louve Director, Southwest Airlines bans seat switching, the first sporting event to be held at The Sphere is announced, Sarah Ferguson has been spotted in a wellness retreat,    FRONT PAGE PUB NEWS (17:58): Kathleen shares articles on Nancy Guthrie's disappearance, the cartel names El Mencho's replacement, a Waymo robotaxi blocks EMS responding to a mass shooting, inside the villa where El Mencho spent his final days, Metallica announces a Vegas Sphere residency, a tour guide is arrested for drawing on a 4,000 year old pyramid, a martini is found in an elementary student's lunchbox, the worst drivers by state are listed,Uber Air is launching in the Emirates, and the Fairmont in Dubai combats unfair tourist reviews after they are hit by missiles.   HOLY SHIT THEY FOUND IT (1:03:59): Kathleen reads about a confirmed jaguarundi sighting in Texas.    WHAT ARE WE WATCHING (1:25:04): Kathleen recommends watching “Love Story” on FX, and “Death By Lightening” on Netflix.    SAINT OF THE WEEK (1:29:09): Kathleen reads about Julian of Norwich.   FEEL GOOD STORY (1:22:21): Kathleen shares a story about Indiana and Michigan allowing people to pay parking tickets by donating cat and dog food to local shelters. 

There has been a lot of headlines in recent months about crime on the CTA following high profile incidents in late 2025, ongoing tension with the feds over the presence of cops on public transit, and an overall feeling that even after improvements in hirings and wait times, CTA still has a lot to do concerning rider experience and safety. Executive producer Simone Alicea and host Jacoby Cochran are discussing recent public transit crime statistics. Plus, the city council is proposing a new tourism improvement district, and listeners have thoughts on Waymo in Chicago. Good News: Annual Chicago Birthday Party Want some more City Cast Chicago news? Then make sure to sign up for our newsletter. Follow us @citycastchicago You can also text us or leave a voicemail at: 773 780-0246 Learn more about the sponsors of this March 3 episode: Access Contemporary Music – Use promo code PIANO for 20% off Become a member of City Cast Chicago. Interested in advertising with City Cast? Find more info HERE

Live… from Austin… it's The Best One Yet!We performed live at Austin's famous State Theater. Some extra razzle dazzle & sprinkle dinkle — but our usual daily Takeaways you know & love.#1. How to slop-proof your career from AI?... Become a Mermaid: ½ human, ½ chatbot#2. The Denim industry is in the middle of an identity crisis… and Fads can be great for profits.#3. Uber's strategy to beat Waymo in Texas… is to become a Swiss Army Knife of Self-Driving.Plus, there's a Topo Chico shortage in Austin… Add Ranch Water to the Hoarder's Almanac.Want to see the LIVE show in action? Watch it on YouTube or check out the highlights on Instagram @tboypod.Even better… want to go to our next LIVE show? Buy tickets to The IPO Tour (our In-Person Offering) TODAYArlington, VA (3/11): https://www.arlingtondrafthouse.com/shows/341317 New York, NY (4/8): https://www.ticketmaster.com/event/0000637AE43ED0C2Los Angeles, CA (6/3): SOLD OUTNEWSLETTER:https://tboypod.com/newsletter OUR 2ND SHOW:Want more business storytelling from us? Check our weekly deepdive show, The Best Idea Yet: The untold origin story of the products you're obsessed with. Listen for free to The Best Idea Yet: https://wondery.com/links/the-best-idea-yet/NEW LISTENERSFill out our 2 minute survey: https://qualtricsxm88y5r986q.qualtrics.com/jfe/form/SV_dp1FDYiJgt6lHy6GET ON THE POD: Submit a shoutout or fact: https://tboypod.com/shoutouts SOCIALS:Instagram: https://www.instagram.com/tboypod TikTok: https://www.tiktok.com/@tboypodYouTube: https://www.youtube.com/@tboypod Linkedin (Nick): https://www.linkedin.com/in/nicolas-martell/Linkedin (Jack): https://www.linkedin.com/in/jack-crivici-kramer/Anything else: https://tboypod.com/ About Us: The daily pop-biz news show making today's top stories your business. Formerly known as Robinhood Snacks, The Best One Yet is hosted by Jack Crivici-Kramer & Nick Martell. Hosted on Acast. See acast.com/privacy for more information.