Podcasts about Waymo

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. ______________________________________________

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

San Francisco is experiencing operational challenges as Waymo's autonomous robotaxis increase in number, with incidents including traffic violations, stalled vehicles, and complications during citywide emergencies. City officials report that resolving stalled robotaxis can take up to an hour and have created a dedicated incident category to track these events. Emergency situations, such as blackouts, have caused robotaxis to halt and block traffic, sometimes impeding emergency vehicles. The San Francisco Metropolitan Transportation Authority has introduced new reporting mechanisms to better manage these incidents, while Waymo is working to improve support for first responders and streamline communication. Waymo disputes certain recorded incidents, maintaining that its vehicles operated safely. The ongoing integration of autonomous vehicles highlights the need for collaboration between municipalities and technology providers, transparent incident reporting, and continuous improvement to ensure public trust and minimize disruptions.Learn more on this news by visiting us at: https://greyjournal.net/news/ Hosted on Acast. See acast.com/privacy for more information.

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

So how do Kwaku's kids know that it's FAFO Friday? "They're like, 'oh, we know you're doing the podcast 'cause we just hear you cackling through the walls.'"So laugh along with Kwaku and me today as we work our way through a quick victory lap (stuff we said would happen last week happened!), why Sam is like that desperate guy at the bar who refuses to go home alone, quantum computing explained via children's literature, why the Jetsons are not reason enough for us to build humanoid robots, robot choreography (are we human or are we dancers?), wen self-driving cars in NY?, riding a wave of green lights up Manhattan's third avenue at 2 AM, artificial wombs and other moonshot off-shoots, and the real origin of Velcro (AI lied to me about it).Plus... goat ranches, breakfast tacos, and what we're most excited about heading into SXSW. It's a choose your own adventure kind of day.Chapters(01:24) - Victory Lap — We Called It (03:35) - OpenAI's Bar Guy Energy (06:38) - Waymo, Robot Choreography, and Green Light Waves (10:16) - Self-Driving Cars vs. New York Politicians (13:13) - What We're Most Excited About at SXSW (15:41) - Quantum Computing: Choose Your Own Adventure Edition (18:01) - Dire Wolves, Moonshots, and Tech Nobody Sees Coming (24:07) - Why Do Robots Need to Look Like Us? (29:22) - The SXSW Way-Back Machine (36:08) - Increased Regulation: Past, Present, or Future? Support Future Around & Find OutFollow Dan on LinkedInGet the free Future Around & Find Out newsletterBecome a paid subscriber and help future proof the podcast!Sponsor the show? Are you looking to reach an audience of senior technologists and decision-makers? Email me: dan@modernproductminds.com---Music by Jonathan Zalben

THE FARR SIDE. Have you ever been a Waymo? Travis gives us a story about his walk and how a person he was approaching on his walk had a dog that he couldnt control. What are the Rams going to do with their #13 pick? Should they draft a future backup QB? Do they add more defensive depth? The Lakers got another win last night against the New Orleans Pelicans. What do we make of that win? Will LeBron James be back in a Lakers uniform? TIP OR NO TIP. Learn more about your ad choices. Visit podcastchoices.com/adchoices

The reception to our recent post on Code Reviews has been strong. Catch up!Amid a maelstrom of discussion on whether or not AI is killing SaaS, one of the top publicly listed SaaS companies in the world has just reported record revenues, clearing well over $1.1B in ARR for the first time with a 28% margin. As we comment on the pod, Aaron Levie is the rare public company CEO equally at home in both worlds of Silicon Valley and Wall Street/Main Street, by day helping 70% of the Fortune 500 with their Enterprise Advanced Suite, and yet by night is often found in the basements of early startups and tweeting viral insights about the future of agents.Now that both Cursor, Cloudflare, Perplexity, Anthropic and more have made Filesystems and Sandboxes and various forms of “Just Give the Agent a Box” cool (not just cool; it is now one of the single hottest areas in AI infrastructure growing 100% MoM), we find it a delightfully appropriate time to do the episode with the OG CEO who has been giving humans and computers Boxes since he was a college dropout pitching VCs at a Michael Arrington house party.Enjoy our special pod, with fan favorite returning guest/guest cohost Jeff Huber!Note: We didn't directly discuss the AI vs SaaS debate - Aaron has done many, many, many other podcasts on that, and you should read his definitive essay on it. Most commentators do not understand SaaS businesses because they have never scaled one themselves, and deeply reflected on what the true value proposition of SaaS is.We also discuss Your Company is a Filesystem:We also shoutout CTO Ben Kus' and the AI team, who talked about the technical architecture and will return for AIE WF 2026.Full Video EpisodeTimestamps* 00:00 Adapting Work for Agents* 01:29 Why Every Agent Needs a Box* 04:38 Agent Governance and Identity* 11:28 Why Coding Agents Took Off First* 21:42 Context Engineering and Search Limits* 31:29 Inside Agent Evals* 33:23 Industries and Datasets* 35:22 Building the Agent Team* 38:50 Read Write Agent Workflows* 41:54 Docs Graphs and Founder Mode* 55:38 Token FOMO Culture* 56:31 Production Function Secrets* 01:01:08 Film Roots to Box* 01:03:38 AI Future of Movies* 01:06:47 Media DevRel and EngineeringTranscriptAdapting Work for AgentsAaron Levie: Like you don't write code, you talk to an agent and it goes and does it for you, and you may be at best review it. That's even probably like, like largely not even what you're doing. What's happening is we are changing our work to make the agents effective. In that model, the agent didn't really adapt to how we work.We basically adapted to how the agent works. All of the economy has to go through that exact same evolution. Right now, it's a huge asset and an advantage for the teams that do it early and that are kinda wired into doing this ‘cause you'll see compounding returns. But that's just gonna take a while for most companies to actually go and get this deployed.swyx: Welcome to the Lane Space Pod. We're back in the chroma studio with uh, chroma, CEO, Jeff Hoover. Welcome returning guest now guest host.Aaron Levie: It's a pleasure. Wow. How'd you get upgraded to, uh, to that?swyx: Because he's like the perfect guy to be guest those for you.Aaron Levie: That makes sense actually, for We love context. We, we both really love context le we really do.We really do.swyx: Uh, and we're here with, uh, Aaron Levy. Welcome.Aaron Levie: Thank you. Good to, uh, good to be [00:01:00] here.swyx: Uh, yeah. So we've all met offline and like chatted a little bit, but like, it's always nice to get these things in person and conversation. Yeah. You just started off with so much energy. You're, you're super excited about agents.I loveAaron Levie: agents.swyx: Yeah. Open claw. Just got by, got bought by OpenAI. No, not bought, but you know, you know what I mean?Aaron Levie: Some, some, you know, acquihire. Executiveswyx: hire.Aaron Levie: Executive hire. Okay. Executive hire. Say,swyx: hey, that's my term. Okay. Um, what are you pounding the table on on agents? You have so many insightful tweets.Why Every Agent Needs a BoxAaron Levie: Well, the thing that, that we get super excited by that I think is probably, you know, should be relatively obvious is we've, we've built a platform to help enterprises manage their files and their, their corporate files and the permissions of who has access to those files and the sharing collaboration of those files.All of those files contain really, really important information for the enterprise. It might have your contracts, it might have your research materials, it might have marketing information, it might have your memos. All that data obviously has, you know, predominantly been used by humans. [00:02:00] But there's been one really interesting problem, which is that, you know, humans only really work with their files during an active engagement with them, and they kind of go away and you don't really see them for a long time.And all of a sudden, uh, with the power of AI and AI agents, all of that data becomes extremely relevant as this ongoing source of, of answers to new questions of data that will transform into, into something else that, that produces value in your organization. It, it contains the answer to the new employee that's onboarding, that needs to ramp up on a project.Um, it contains the answer to the right thing to sell a customer when you're having a conversation to them, with them contains the roadmap information that's gonna produce the next feature. So all that data. That previously we've been just sort of storing and, and you know, occasionally forgetting about, ‘cause we're only working on the new active stuff.All of that information becomes valuable to the enterprise and it's gonna become extremely valuable to end users because now they can have agents go find what they're looking for and produce new, new [00:03:00] value and new data on that information. And it's gonna become incredibly valuable to agents because agents can roam around and do a bunch of work and they're gonna need access to that data as well.And um, and you know, sometimes that will be an agent that is sort of working on behalf of, of, of you and, and effectively as you as and, and they are kind of accessing all of the same information that you have access to and, and operating as you in the system. And then sometimes there's gonna be agents that are just.Effectively autonomous and kind of run on their own and, and you're gonna collaborate and work with them kind of like you did another person. Open Claw being the most recent and maybe first real sort of, you know, kind of, you know, up updating everybody's, you know, views of this landscape version of, of what that could look like, which is, okay, I have an agent.It's on its own system, it's on its own computer, it has access to its own tools. I probably don't give it access to my entire life. I probably communicate with it like I would an assistant or a colleague and then it, it sort of has this sandbox environment. So all of that has massive implications for a platform that manage that [00:04:00] enterprise data.We think it's gonna just transform how we work with all of the enterprise content that we work with, and we just have to make sure we're building the right platform to support that.swyx: The sort of shorthand I put it is as people build agents, everybody's just realizing that every agent needs a box. Yes.And it's nice to be called box and just give everyone a box.Aaron Levie: Hey, I if I, you know, if we can make that go viral, uh, like I, I think that that terminology, I, that's theswyx: tagline. Every agentAaron Levie: needs a box. Every agent needs a box. If we can make that the headline of this, I'm fine with this. And that's the billboard I wanna like Yeah, exactly.Every agent needs a box. Um, I like it. Can we ship this? Like,swyx: okay, let's do it. Yeah.Aaron Levie: Uh, my work here is done and I got the value I needed outta this podcast Drinks.swyx: Yeah.Agent Governance and IdentityAaron Levie: But, but, um, but, but, you know, so the thing that we, we kind of think about is, um, is, you know, whether you think the number 10 x or a hundred x or whatever the number is, we're gonna have some order of magnitude more agents than people.That's inevitable. It has to happen. So then the question is, what is the infrastructure that's needed to make all those agents effective in the enterprise? Make sure that they are well governed. Make sure they're only doing [00:05:00] safe things on your information. Make sure that they're not getting exposed. The data that they shouldn't have access to.There's gonna be just incredibly spectacularly crazy security incidents that will happen with agents because you'll prompt, inject an agent and sort of find your way through the CRM system and pull out data that you shouldn't have access to. Oh, weJeff Huber: have God,Aaron Levie: right? I mean, that's just gonna happen all over the place, right?So, so then the thing is, is how do you make sure you have the right security, the permissions, the access controls, the data governance. Um, we actually don't yet exactly know in many cases how we're gonna regulate some of these agents, right? If you think about an agent in financial services, does it have the exact same financial sort of, uh, requirements that a human did?Or is it, is the risk fully on the human that was interacting or created the agent? All open questions, but no matter what, there's gonna need to be a layer that manages the, the data they have access to, the workflows that they're involved in, pulling up data from multiple systems. This is the new infrastructure opportunity in the era of agents.swyx: You have a piece on agent identities, [00:06:00] which I think was today, um, which I think a lot of breaking news, the security, security people are talking about, right? Like you basically, I, I always think of this as like, well you need the human you and then there you need the agent. YouAaron Levie: Yes.swyx: And uh, well, I don't know if it's that simple, but is box going to have an opinion on that or you're just gonna be like, well we're just the sort of the, the source layer.Yeah. Let's Okta of zero handle that.Aaron Levie: I think we're gonna have an opinion and we will work with generally wherever the contours of the market end up. Um, and the reason that we're gonna have an opinion more than other topics probably is because one of the biggest use cases for why your agent might need it, an identity is for file system access.So thus we have to kind of think about this pretty deeply. And I think, uh, unless you're like in our world thinking about this particular problem all day long, it might be, you know, like, why is this such a big deal? And the reason why it's a really big deal is because sometimes sort of say, well just give the agent an, an account on the system and it just treats, treat it like every other type of user on the system.The [00:07:00] problem is, is that I as Aaron don't really have any responsibility over anybody else's box account in our organization. I can't see the box account of any other employee that I work with. I am not liable for anything that they do. And they have, I have, I have, you know, strict privacy requirements on everything that they're able to, you know, that, that, that they work on.Agents don't have that, you know, don't have those properties. The person who creates the agent probably is gonna, for the foreseeable future, take on a lot of the liability of what that agent does. That agent doesn't deserve any privacy because, because it's, you know, it can't fully be autonomously operated and it doesn't have any legal, you know, kind of, you know, responsibility.So thus you can't just be like, oh, well I'll just create a bunch of accounts and then I'll, I'll kind of work with that agent and I'll talk to it occasionally. Like you need oversight of that. And so then the question is, how do you have a world where the agent, sometimes you have oversight of, but what if that agent goes and works with other people?That person over there is collaborating with the agent on something you shouldn't have [00:08:00] access to what they're doing. So we have all of these new boundaries that we're gonna have to figure out of, of, you know, it's really, really easy. So far we've been in, in easy mode. We've hit the easy button with ai, which is the agent just is you.And when you're in quad code and you're in cursor, and you're in Codex, you're just, the agent is you. You're offing into your services. It can do everything you can do. That's the easy mode. The hard mode is agents are kind of running on their own. People check in with them occasionally, they're doing things autonomously.How do you give them access to resources in the enterprise and not dramatically increased the security risk and the risk that you might expose the wrong thing to somebody. These are all the new problems that we have to get solved. I like the identity layer and, and identity vendors as being a solution to that, but we'll, we'll need some opinions as well because so many of the use cases are these collaborative file system use cases, which is how do I give it an agent, a subset of my data?Give it its own workspace as well. ‘cause it's gonna need to store off its own information that would be relevant for it. And how do I have the right oversight into that? [00:09:00]Jeff Huber: One thing, which, um, I think is kind interesting, think about is that you know, how humans work, right? Like I may not also just like give you access to the whole file.I might like sit next to you and like scroll to this like one part of the file and just show you that like one part and like, you know,swyx: partial file access.Jeff Huber: I'm just saying I think like our, like RA does seem to be dead, right? Like you wanna say something is dead uhhuh probably RA is dead. And uh, like the auth story to me seems like incredibly unsolved and unaddressed by like the existing state of like AI vendors.ButAaron Levie: yeah, I think, um, we're, I mean you're taking obviously really to level limit that we probably need to solve for. Yeah. And we built an access control system that was, was kind of like, you know, its own little world for, for a long time. And um, and the idea was this, it's a many to many collaboration system where I can give you any part of the file system.And it's a waterfall model. So if I give you higher up in the, in the, in the system, you get everything below. And that, that kind of created immense flexibility because I can kind of point you to any layer in the, in the tree, but then you're gonna get access to everything kind of below it. And that [00:10:00] mostly is, is working in this, in this world.But you do have to manage this issue, which is how do I create an agent that has access to some of my stuff and somebody else's stuff as well. Mm-hmm. And which parts do I get to look at as the creator of the agent? And, and these are just brand new problems? Yeah. Crazy. And humans, when there was a human there that was really easy to do.Like, like if the three of us were all sharing, there'd be a Venn diagram where we'd have an overlapping set of things we've shared, but then we'd have our own ways that we shared with each other. In an agent world, somebody needs to take responsibility for what that agent has access to and what they're working on.These are like the, some of the most probably, you know, boring problems for 98% of people on, on the internet, but they will be the problems that are the difference between can you actually have autonomous agents in an enterprise contextswyx: Yeah.Aaron Levie: That are not leaking your data constantly.swyx: No. Like, I mean, you know, I run a very, very small company for my conference and like we already have data sensitivity issues.Yes. And some of my team members cannot see Yes. Uh, the others and like, I can't imagine what it's like to run a Fortune 500 and like, you have to [00:11:00] worry about this. I'm just kinda curious, like you, you talked to a lot like, like 70, 80% of your cus uh, of the Fortune 500, your customers.Aaron Levie: Yep. 67%. Just so we're being verySEswyx: precise.So Yeah. I'm notAaron Levie: Okay. Okay.swyx: Something I'm rounding up. Yes. Round up. I'm projecting to, forAaron Levie: the government.swyx: I'm projecting to the end of the year.Aaron Levie: Okay.swyx: There you go.Aaron Levie: You do make it sound like, like we, we, well we've gotta be on this. Like we're, we're taking way too long to get to 80%. Well,swyx: no, I mean, so like. How are they approaching it?Right? Because you're, you don't have a, you don't have a final answer yet.Why Coding Agents Took Off FirstAaron Levie: Well, okay, so, so this is actually, this is the stark reality that like, unfortunately is the kinda like pouring the water on the party a little bit.swyx: Yes.Aaron Levie: We all in Silicon Valley are like, have the absolute best conditions possible for AI ever.And I think we all saw the dke, you know, kind of Dario podcast and this idea of AI coding. Why is that taken off? And, and we're not yet fully seeing it everywhere else. Well, look, if you just like enumerated the list of properties that AI coding has and then compared it to other [00:12:00] knowledge work, let's just, let's just go through a few of them.Generally speaking, you bring on a new engineer, they have access to a large swath of the code base. Like, there's like very, like you, just, like new engineer comes on, they can just go and find the, the, the stuff that they, they need to work with. It's a fully text in text out. Medium. It's only, it's just gonna be text at the end of the day.So it's like really great from a, from just a, uh, you know, kinda what the agent can work with. Obviously the models are super trained on that dataset. The labs themselves have a really strong, kind of self-reinforcing positive flywheel of why they need to do, you know, agent coding deeply. So then you get just better tooling, better services.The actual developers of the AI are daily users of the, of the thing that they're we're working on versus like the, you know, probably there's only like seven Claude Cowork legal plugin users at Anthropic any given day, but there's like a couple thousand Claude code and you know, users every single day.So just like, think about which one are they getting more feedback on. All day long. So you just go through this list. You have a, you know, everybody who's a [00:13:00] developer by definition is technical so they can go install the latest thing. We're all generally online, or at least, you know, kinda the weird ones are, and we're all talking to each other, sharing best practices, like that's like already eight differences.Versus the rest of the economy. Every other part of the economy has like, like six to seven headwinds relative to that list. You go into a company, you're a banker in financial services, you have access to like a, a tiny little subset of the total data that's gonna be relevant to do your job. And you're have to start to go and talk to a bunch of people to get the right data to do your job because Sally didn't add you to that deal room, you know, folder.And that that, you know, the information is actually in a completely different organization that you now have to go in and, and sort of run into. And it's like you have this endless list of access controls and security. As, as you talked about, you have a medium, which is not, it's not just text, right? You have, you have a zoom call that, that you're getting all of the requirements from the customer.You have a lot of in-person conversations and you're doing in-person sales and like how do you ever [00:14:00] digitize all of that information? Um, you know, I think a lot of people got upset with this idea that the code base has all the context, um, that I don't know if you follow, you know, did you follow some of that conversation that that went viral?Is like, you know, it's not that simple that, that the code base doesn't have all the knowledge, but like it's a lot, you're a lot better off than you are with other areas of knowledge work. Like you, we like, we like have documentation practices, you write specifications. Those things don't exist for like 80% of work that happens in the enterprise.That's the divide that we have, which is, which is AI coding has, has just fully, you know, where we've reached escape velocity of how powerful this stuff is, and then we're gonna have to find a way to bring that same energy and momentum, but to all these other areas of knowledge work. Where the tools aren't there, the data's not set up to be there.The access controls don't make it that easy. The context engineering is an incredibly hard problem because again, you have access control challenges, you have different data formats. You have end users that are gonna need to kind of be kind of trained through this as opposed to their adopting [00:15:00] these tools in their free time.That's where the Fortune 500 is. And so we, I think, you know, have to be prepared as an industry where we are gonna be on a multi-year march to, to be able to bring agents to the enterprise for these workflows. And I think probably the, the thing that we've learned most in coding that, that the rest of the world is not yet, I think ready for, I mean, we're, they'll, they'll have to be ready for it because it's just gonna inevitably happen is I think in coding.What, what's interesting is if you think about the practice of coding today versus two years ago. It's probably the most changed workflow in maybe the history of time from the amount of time it's changed, right? Yeah. Like, like has any, has any workflow in the entire economy changed that quickly in terms of the amount of change?I just, you know, at least in any knowledge worker workflow, there's like very rarely been an event where one piece of technology and work practice has so fundamentally, you know, changed, changed what you do. Like you don't write code, you talk to an agent and it goes and [00:16:00] does it for you, and you may be at best review it.And even that's even probably like, like largely not even what you're doing. What's happening is we are changing our work to make the agents effective. In that model, the agent didn't really adapt to how we work. We basically adapted to how the agent works. Mm-hmm. All of the economy has to go through that exact same evolution.The rest of the economy is gonna have to update its workflows to make agents effective. And to give agents the context that they need and to actually figure out what kind of prompting works and to figure out how do you ensure that the agent has the right access to information to be able to execute on its work.I, you know, this is not the panacea that people were hoping for, of the agent drops in, just automates your life. Like you have to basically re-engineer your workflow to get the most out of agents and, uh, and that, that's just gonna take, you know, multiple years across the economy. Right now it's a huge asset and an advantage for the teams that do it early and that are kinda wired into doing this.‘cause [00:17:00] you'll see compounding returns, but that's just gonna take a while for most companies to actually go and get this deployed.swyx: I love, I love pushing back. I think that. That is what a lot of technology consultants love to hear this sort of thing, right? Yeah, yeah, yeah. First to, to embrace the ai. Yes. To get to the promised land, you must pay me so much money to a hundred percent to adopt the prescribed way of, uh, conforming to the agents.Yes. And I worry that you will be eclipsed by someone else who says, no, come as you are.Aaron Levie: Yeah.swyx: And we'll meet you where you are.Aaron Levie: And, and, and and what was the thing that went viral a week ago? OpenAI probably, uh, is hiring F Dees. Yeah. Uh, to go into the enterprise. Yeah. Yeah. And then philanthropic is embedded at Goldman Sachs.Yeah. So if the labs are having to do this, if, if the labs have decided that they need to hire FDE and professional services, then I think that's a pretty clear indication that this, there's no easy mode of workflow transformation. Yeah. Yeah. So, so to your point, I think actually this is a market opportunity for, you know, new professional services and consulting [00:18:00] firms that are like Agent Build and they, and they kind of, you know, go into organizations and they figure out how to re-engineer your workflows to make them more agent ready and get your data into the right format and, you know, reconstruct your business process.So you're, you're not doing most of the work. You're telling agents how to do the work and then you're reviewing it. But I haven't seen the thing that can just drop in and, and kinda let you not go through those changes.swyx: I don't know how that kind of sales pitch goes over. Yeah. You know, you're, you're saying things like, well, in my sort of nice beautiful walled garden, here's, there's, uh, because here's this, here's this beautiful box account that has everything.Yes. And I'm like, well, most, most real life is extremely messy. Sure. And like, poorly named and there duplicate this outdated s**tAaron Levie: a hundred percent. And so No, no, a hundred percent. And so this is actually No. So, so this is, I mean, we agree that, that getting to the beautiful garden is gonna be tough.swyx: Yeah.Aaron Levie: There's also the other end of the spectrum where I, I just like, it's a technical impossibility to solve. The agent is, is truly cannot get enough context to make the right decision in, in the, in the incredibly messy land. Like there's [00:19:00] no a GI that will solve that. So, so we're gonna have to kind of land in somewhere in between, which is like we all collectively get better at.Documentation practices and, and having authoritative relatively up-to-date information and putting it in the right place like agents will, will certainly cause us to be much better organized around how we work with our information, simply because the severity of the agent pulling the wrong data will be too high and the productivity gain of that you'll miss out on by not doing this will be too high as well, that you, that your competition will just do it and they'll just have higher velocity.So, uh, and, and we, we see this a lot firsthand. So we, we build a series of agents internally that they can kind of have access to your full box account and go off and you give it a task and it can go find whatever information you're looking for and work with. And, you know, thank God for the model progress, but like, if, if you gave that task to an agent.Nine months ago, you're just gonna get lots of bogus answers because it's gonna, it's gonna say, Hey, here's, here are fi [00:20:00] five, you know, documents that all kind of smell like the right thing. And I'm gonna, but I, but you're, you're putting me on the clock. ‘cause my assistant prompt says like, you know, be pretty smart, but also try and respond to the user and it's gonna respond.And it's like, ah, it got the wrong document. And then you do that once or twice as a knowledge worker and you're just neverswyx: again,Aaron Levie: never again. You're just like done with the system.swyx: Yeah. It doesn't work.Aaron Levie: It doesn't work. And so, you know, Opus four six and Gemini three one Pro and you know, whatever the latest five 3G BT will be, like, those things are getting better and better and it's using better judgment.And this sort of like the, all of these updates to the agentic tool and search systems are, are, we're seeing, we're seeing very real progress where the agent. Kind of can, can almost smell some things a little bit fishy when it's getting, you know, we, we have this process where we, we have it go fan out, do a bunch of searches, pull up a bunch of data, and then it has to sort of do its own ranking of, you know, what are the right documents that, that it should be working with.And again, like, you know, the intelligence level of a model six months ago, [00:21:00] it'd be just throwing a dart at like, I'm just, I'm gonna grab these seven files and I, I pray, I hope that that's the right answer. And something like an opus first four five, and now four six is like, oh, it's like, no, that one doesn't seem right relative to this question because I'm seeing some signal that is making that, you know, that's contradicting the document where it would normally be in the tree and who should have access.Like it's doing all of that kind of work for you. But like, it still doesn't work if you just have a total wasteland of data. Like, it's just not, it's just not possible. Partly ‘cause a human wouldn't even be able to do it. So basically if a, if a really, really smart human. Could not do that task in five or 10 minutes for a search retrieval type task.Look, you know, your agent's not gonna be able to do it any better. You see this all day long. SoContext Engineering and Search Limitsswyx: this touches on a thing that just passionate about it was just context engineering. I, I'm just gonna let you ramble or riff on, on context engineering. If, if, if there's anything like he, he did really good work on context fraud, which has really taken over as like the term that people use and the referenceAaron Levie: a hundred percent.We, we all we think about is, is the context rob problem. [00:22:00]Jeff Huber: Yeah, there's certainly a lot of like ranking considerations. Gentech surgery think is incredibly promising. Um, yeah, I was trying to generate a question though. I think I have a question right now. Swyx.Aaron Levie: Yeah, no, but like, like I think there was this moment, um, you know, like, I don't know, two years ago before, before we knew like where the, the gotchas were gonna be in ai and I think someone was like, was like, well, infinite context windows will just solve all of these problems and ‘cause you'll just, you'll just give the context window like all the data and.It's just like, okay, I mean, maybe in 2035, like this is a viable solution. First of all, it, it would just, it would just simply cost too much. Like we just can't give the model like the 5,000 documents that might be relevant and it's gonna read them all. And I've seen enough to, to start believing in crazy stuff.So like, I'm willing to just say, sure. Like in, in 10 years from now,swyx: never say, never, never.Aaron Levie: In, in 10 years from now, we'll have infinite context windows at, at a thousandth of the price of today. Like, let's just like believe that that's possible, but Right. We're in reality today. So today we have a context engineering [00:23:00] problem, which is, I got, I got, you know, 200,000 tokens that I can work with, or prob, I don't even know what the latest graph is before, like massive degradation.16. Okay. I have 60,000 tokens that I get to work with where I'm gonna get accurate information. That's not a lot of tokens for a corpus of 10 million documents that a knowledge worker might have across all of the teams and all the projects and all the people they work with. I have, I have 10 million documents.Which, you know, maybe is times five pages per document or something like that. I'm at 50 million pages of information and I have 60,000 tokens. Like, holy s**t. Yeah. This is like, how do I bridge the 50 million pages of information with, you know, the couple hundred that I get to work with in that, in that token window.Yeah. This is like, this is like such an interesting problem and that's why actually so much work is actually like, just like search systems and the databases and that layer has to just get so locked in, but models getting better and importantly [00:24:00] knowing when they've done a search, they found the wrong thing, they go back, they check their work, they, they find a way to balance sort of appeasing the user versus double checking.We have this one, we have this one test case where we ask the agent to go find. 10 pieces of information.swyx: Is this the complex work eval?Aaron Levie: Uh, this is actually not in the eval. This is, this is sort of just like we have a bunch of different, we have a bunch of internal benchmark kind of scenarios. Every time we, we update our agent, we have one, which is, I ask it to find all of our office addresses, and I give it the list of 10 offices that we have.And there's not one document that has this, maybe there should be, that would be a great example of the kind of thing that like maybe over time companies start to, you know, have these sort of like, what are the canonical, you know, kind of key areas of knowledge that we need to have. We don't seem to have this one document that says, here are all of our offices.We have a bunch of documents that have like, here's the New York office and whatever. So you task this agent and you, you get, you say, I need the addresses for these 10 offices. Okay. And by the way, if you do this on any, you know, [00:25:00] public chat model, the same outcome is gonna happen. But for a different kind of query, you give it, you say, I need these 10 addresses.How many times should the agent go and do its search before it decides whether or not, there's just no answer to this question. Often, and especially the, the, let's say lower tier models, it'll come back and it'll give you six of the 10 addresses. And it'll, and I'll just say I couldn't find the otherswyx: four.It, it doesn't know what It doesn't know. ItAaron Levie: doesn't know what It doesn't know. Yeah. So the model is just like, like when should it stop? When should it stop doing? Like should it, should it do that task for literally an hour and just keep cranking through? Maybe I actually made up an office location and it doesn't know that I made it up and I didn't even know that I made it up.Like, should it just keep, re should it read every single file in your entire box account until it, until it should exhaust every single piece of information.swyx: Expensive.Aaron Levie: These are the new problems that we have. So, you know, something like, let's say a new opus model is sort of like, okay, I'm gonna try these types of queries.I didn't get exactly what I wanted. I'm gonna try again. I'm gonna, at [00:26:00] some point I'm gonna stop searching. ‘cause I've determined that that no amount of searching is gonna solve this problem. I'm just not able to do it. And that judgment is like a really new thing that the model needs to be able to have.It's like, when should it give up on a task? ‘cause, ‘cause you just don't, it's a can't find the thing. That's the real world of knowledge, work problems. And this is the stuff that the coding agents don't have to deal with. Because they, it just doesn't like, like you're not usually asking it about, you're, you're always creating net new information coming right outta the model for the most part.Obviously it has to know about your code base and your specs and your documentation, but, but when you deploy an agent on all of your data that now you have all of these new problems that you're dealing withJeff Huber: our, uh, follow follow-up research to context ride is actually on a genetic search. Ah. Um, and we've like right, sort of stress tested like frontier models and their ability to search.Um, and they're not actually that good at searching. Right. Uh, so you're sort of highlighting this like explore, exploit.swyx: You're just say, Debbie, Donna say everything doesn't work. Like,Aaron Levie: well,Jeff Huber: somebody has to be,Aaron Levie: um, can I just throw out one more thing? Yeah. That is different from coding and, and the rest [00:27:00] of the knowledge work that I, I failed to mention.So one other kind of key point is, is that, you know, at the end of the day. Whether you believe we're in a slop apocalypse or, or whatever. At the end of the day, if you, if you build a working product at the end of, if you, if you've built a working solution that is ultimately what the customer is paying for, like whether I have a lot of slop, a little slop or whatever, I'm sure there's lots of code bases we could go into in enterprise software companies where it's like just crazy slop that humans did over a 20 year period, but the end customer just gets this little interface.They can, they can type into it, it does its thing. Knowledge work, uh, doesn't have that property. If I have an AI model, go generate a contract and I generate a contract 20 times and, you know, all 20 times it's just 3% different and like that I, that, that kind of lop introduces all new kinds of risk for my organization that the code version of that LOP didn't, didn't introduce.These are, and so like, so how do you constrain these models to just the part that you want [00:28:00] them to work on and just do the thing that you want them to do? And, and, you know, in engineering, we don't, you can't be disbarred as an engineer, but you could be disbarred as a lawyer. Like you can do the wrong medical thing In healthcare, you, there's no, there's no equivalent to that of engineering.Like, doswyx: you want there to be, because I've considered softwareJeff Huber: engineer. What's that? Civil engineering there is, right? NotAaron Levie: software civil engineer. Sure. Oh yeah, for sure. But like in any of our companies, you like, you know, you'll be forgiven if you took down the site and, and we, we will do a rollback and you'll, you'll be in a meeting, but you have not been disbarred as an engineer.We don't, we don't change your, you know, your computer science, uh, blameJeff Huber: degree, this postmortem.Aaron Levie: Yeah, exactly. Exactly. So, so, uh, now maybe we collectively as an industry need to figure out like, what are you liable for? Not legally, but like in a, in a management sense, uh, of these agents. All sorts of interesting problems that, that, that, uh, that have to come out.But in knowledge work, that's the real hostile environments that we're operating in. Hmm.swyx: I do think like, uh, a lot of the last year's, 2025 story was the rise of coding agents and I think [00:29:00] 2026 story is definitely knowledge work agents. Yes. A hundredAaron Levie: percent.swyx: Right. Like that would, and I think open claw core work are just the beginning.Yes. Like it's, the next one's gonna just gonna be absolute craziness.Aaron Levie: It it is. And, and, uh, and it's gonna be, I mean, again, like this is gonna be this, this wave where we, we are gonna try and bring as many of the practices from coding because that, that will clearly be the forefront, which is tell an agent to go do something and has an access to a set of resources.You need to be responsible for reviewing it at the end of the process. That to me is the, is the kind of template that I just think goes across knowledge, work and odd. Cowork is a great example. Open Closet's a great example. You can kind of, sort of see what Codex could become over time. These are some, some really interesting kind of platforms that are emerging.swyx: Okay. Um, I wanted to, we touched on evals a little bit. You had, you had the report that you're gonna go bring up and then I was gonna go into like, uh, boxes, evals, but uh, go ahead. Talk about your genetic search thing.Jeff Huber: Yeah. Mostly I think kinda a few of the insights. It's like number one frontier model is not good at search.Humans have this [00:30:00] natural explore, exploit trade off where we kinda understand like when to stop doing something. Also, humans are pretty good at like forgetting actually, and like pruning their own context, whereas agents are not, and actually an agent in their kind of context history, if they knew something was bad and they even, you could see in the trace the reason you trace, Hey, that probably wasn't a good idea.If it's still in the trace, still in the context, they'll still do it again. Uhhuh. Uh, and so like, I think pruning is also gonna be like, really, it's already becoming a thing, right? But like, letting self prune the con windowsswyx: be a big deal. Yeah. So, so don't leave the mistake. Don't leave the mistake in there.Cut out the mistake but tell it that you made a mistake in the past and so it doesn't repeat it.Jeff Huber: Yeah. But like cut it out so it doesn't get like distracted by it again. ‘cause really, you know, what is so, so it will repeat its mistake just because it's been, it's inswyx: theJeff Huber: context. It'sAaron Levie: in the context so much.That's a few shot example. Even if it, yeah.Jeff Huber: It's like oh thisAaron Levie: is a great thing to go try even ifJeff Huber: it didn't work.Aaron Levie: Yeah,Jeff Huber: exactly.Aaron Levie: SoJeff Huber: there's like a bunch of stuff there. JustAaron Levie: Groundhogs Day inside these models. Yeah. I'm gonna go keep doing the same wrongJeff Huber: thing. Covering sense. I feel like, you know, some creator analogy you're trying like fit a manifold in latent space, which kind is doing break program synthesis, which is kinda one we think about we're doing right.Like, you know, certain [00:31:00] facts might be like sort of overly pitting it. There are certain, you know, sec sectors of latent space and so like plug clean space. Yeah. And, uh, andswyx: so we have a bell, our editor as a bell every time you say that. SoJeff Huber: you have, you have to like remove those, likeswyx: you shoulda a gong like TPN or something.IfJeff Huber: we gong, you either remove those links to like kinda give it the freedom, kind of do what you need to do. So, but yeah. We'll, we'll release more soon. That'sAaron Levie: awesome.Jeff Huber: That'll, that'll be cool.swyx: We're a cerebral podcast that people listen to us and, and sort of think really deep. So yeah, we try to keep it subtle.Okay. We try to keep it.Aaron Levie: Okay, fine.Inside Agent Evalsswyx: Um, you, you guys do, you guys do have EVs, you talked about your, your office thing, but, uh, you've been also promoting APEX agents and complex work. Uh, yeah, whatever you, wherever you wanna take this just Yeah. How youAaron Levie: Apex is, is obviously me, core's, uh, uh, kind of, um, agent eval.We, we supported that by sort of. Opening up some data for them around how we kind of see these, um, data workspaces in, in the, you know, kind of regular economy. So how do lawyers have a workspace? How do investment bankers have a workspace? What kind of data goes into those? And so we, [00:32:00] we partner with them on their, their apex eval.Our own, um, eval is, it's actually relatively straightforward. We have a, a set of, of documents in a, in a range of industries. We give the agent previously did this as a one shot test of just purely the model. And then we just realized we, we need to, based on where everything's going, it's just gotta be more agentic.So now it's a bit more of a test of both our harness and the model. And we have a rubric of a set of things that has to get right and we score it. Um, and you're just seeing, you know, these incredible jumps in almost every single model in its own family of, you know, opus four, um, you know, sonnet four six versus sonnet four five.swyx: Yeah. We have this up on screen.Aaron Levie: Okay, cool. So some, you're seeing it somewhere like. I, I forget the to, it was like 15 point jump, I think on the main, on the overall,swyx: yes.Aaron Levie: And it's just like, you know, these incredible leaps that, that are starting to happen. Um,swyx: and OP doesn't know any, like any, it's completely held out from op.Aaron Levie: This is not in any, there's no public data which has, you know, Ben benefits and this is just a private eval that we [00:33:00] do, and then we just happen to show it to, to the world. Hmm. So you can't, you can't train against it. And I think it's just as representative of. It's obviously reasoning capabilities, what it's doing at, at, you know, kind of test time, compute capabilities, thinking levels, all like the context rot issues.So many interesting, you know, kind of, uh, uh, capabilities that are, that are now improvingswyx: one sector that you have. That's interesting.Industries and Datasetsswyx: Uh, people are roughly familiar with healthcare and legal, but you have public sector in there.Aaron Levie: Yeah.swyx: Uh, what's that? Like, what, what, what is that?Aaron Levie: Yeah, and, and we actually test against, I dunno, maybe 10 industries.We, we end up usually just cutting a few that we think have interesting gains. All extras, won a lot of like government type documents. Um,swyx: what is that? What is it? Government type documents?Aaron Levie: Government filings. Like a taxswyx: return, likeAaron Levie: a probably not tax returns. It would be more of what would go the government be using, uh, as data.So, okay. Um, so think about research that, that type of, of, of data sets. And then we have financial services for things like data rooms and what would be in an investment prospectus. Uhhuh,swyx: that one you can dog food.Aaron Levie: Yeah, exactly. Exactly. Yes. Yes. [00:34:00] So, uh, so we, we run the models, um, in now, you know, more of an agent mode, but, but still with, with kinda limited capacity and just try and see like on a, like, for like basis, what are the improvements?And, and again, we just continue to be blown away by. How, how good these models are getting.swyx: Yeah, I mean, I think every serious AI company needs something like that where like, well, this is the work we do. Here's our company eval. Yeah. And if you don't have it, well, you're not a serious AI company.Aaron Levie: There's two dimensions, right?So there's, there's like, how are the models improving? And so which models should you either recommend a customer use, which one should you adopt? But then every single day, we're making changes to our agents. And you need to knowswyx: if you regressed,Aaron Levie: if you know. Yeah. You know, I've been fully convinced that the whole agent observability and eval space is gonna be a massive space.Um, super excited for what Braintrust is doing, excited for, you know, Lang Smith, all the things. And I think what you're going to, I mean, this is like every enter like literally every enterprise right now. It's like the AI companies are the customers of these tools. Every enterprise will have this. Yeah, you'll just [00:35:00] have to have an eval.Of all of your work and like, we'll, you'll have an eval of your RFP generation, you'll have an eval of your sales material creation. You'll have an eval of your, uh, invoice processing. And, and as you, you know, buy or use new agentic systems, you are gonna need to know like, what's the quality of your, of your pipeline.swyx: Yeah.Aaron Levie: Um, so huge, huge market with agent evals.swyx: Yeah.Building the Agent Teamswyx: And, and you know, I'm gonna shout out your, your team a bit, uh, your CTO, Ben, uh, did a great talk with us last year. Awesome. And he's gonna come back again. Oh, cool. For World's Fair.Aaron Levie: Yep.swyx: Just talk about your team, like brag a little bit. I think I, I think people take these eval numbers in pretty charts for granted, but No, there, I mean, there's, there's lots of really smart people at work during all this.Aaron Levie: Biggest shout out, uh, is we have a, we have a couple folks at Dya, uh, Sidarth, uh, that, that kind of run this. They're like a, you know, kind of tag tag team duo on our evals, Ben, our CTO, heavily involved Yasha, head of ai, uh, you know, a bunch of folks. And, um, evals is one part of the story. And then just like the full, you know, kind of AI.An agent team [00:36:00] is, uh, is a, is a pretty, you know, is core to this whole effort. So there's probably, I don't know, like maybe a few dozen people that are like the epicenter. And then you just have like layers and layers of, of kind of concentric circles of okay, then there's a search team that supports them and an infrastructure team that supports them.And it's starting to ripple through the entire company. But there's that kind of core agent team, um, that's a pretty, pretty close, uh, close knit group.swyx: The search team is separate from the infra team.Aaron Levie: I mean, we have like every, every layer of the stack we have to kind of do, except for just pure public cloud.Um, but um, you know, we, we store, I don't even know what our public numbers are in, you know, but like, you can just think about it as like a lot of data is, is stored in box. And so we have, and you have every layer of the, of the stack of, you know, how do you manage the data, the file system, the metadata system, the search system, just all of those components.And then they all are having to understand that now you've got this new customer. Which is the agent, and they've been building for two types of customers in the past. They've been building for users and they've been building for like applications. [00:37:00] And now you've got this new agent user, and it comes in with a difference of it, of property sometimes, like, hey, maybe sometimes we should do embeddings, an embedding based, you know, kind of search versus, you know, your, your typical semantic search.Like, it's just like you have to build the, the capabilities to support all of this. And we're testing stuff, throwing things away, something doesn't work and, and not relevant. It's like just, you know, total chaos. But all of those teams are supporting the agent team that is kind of coming up with its requirements of what, what do we need?swyx: Yeah. No, uh, we just came from, uh, fireside chat where you did, and you, you talked about how you're doing this. It's, it's kind of like an internal startup. Yeah. Within the broader company. The broader company's like 3000 people. Yeah. But you know, there's, there's a, this is a core team of like, well, here's the innovation center.Aaron Levie: Yeah.swyx: And like that every company kind of is run this way.Aaron Levie: Yeah. I wanna be sensitive. I don't call it the innovation center. Yeah. Only because I think everybody has to do innovation. Um, there, there's a part of the, the, the company that is, is sort of do or die for the agent wave.swyx: Yeah.Aaron Levie: And it only happens to be more of my focus simply because it's existential that [00:38:00] we get it right.swyx: Yeah.Aaron Levie: All of the supporting systems are necessary. All of the surrounding adjacent capabilities are necessary. Like the only reason we get to be a platform where you'd run an agent is because we have a security feature or a compliance feature, or a governance feature that, that some team is working on.But that's not gonna be the make or break of, of whether we get agents right. Like that already exists and we need to keep innovating there. I don't know what the right, exact precise number is, but it's not a thousand people and it's not 10 people. There's a number of people that are like the, the kind of like, you know, startup within the company that are the make or break on everything related to AI agents, you know, leveraging our platform and letting you work with your data.And that's where I spend a lot of my time, and Ben and Yosh and Diego and Teri, you know, these are just, you know, people that, that, you know, kind of across the team. Are working.swyx: Yeah. Amazing.Read Write Agent WorkflowsJeff Huber: How do you, how do you think about, I mean, you talked a lot about like kinda read workflows over your box data. Yep.Right. You know, gen search questions, queries, et cetera. But like, what about like, write or like authoring workflows?Aaron Levie: Yes. I've [00:39:00] already probably revealed too much actually now that I think about it. So, um, I've talked about whatever,Jeff Huber: whatever you can.Aaron Levie: Okay. It's just us. It's just us. Yeah. Okay. Of course, of course.So I, I guess I would just, uh, I'll make it a little bit conceptual, uh, because again, I've already, I've already said things that are not even ga but, but we've, we've kinda like danced around it publicly, so I, yeah, yeah. Okay. Just like, hopefully nobody watches this, um, episode. No.swyx: It's tidbits for the Heidi engaged to go figure out like what exactly, um, you know, is, is your sort of line of thinking.Sure. They can connect the dots.Aaron Levie: Yeah. So, so I would say that, that, uh, we, you know, as a, as a place where you have your enterprise content, there's a use case where I want to, you know, have an agent read that data and answer questions for me. And then there's a use case where I want the agent to create something.And use the file system to create something or store off data that it's working on, or be able to have, you know, various files that it's writing to about the work it's doing. So we do see it as a total read write. The harder problem has so far been the read only because, because again, you have that kind of like 10 [00:40:00] million to one ratio problem, whereas rights are a lot of, that's just gonna come from the model and, and we just like, we'll just put it in the file system and kinda use it.So it's a little bit of a technically easier problem, but the only part that's like, not necessarily technically hard, it is just like it's not yet perfected in the state of the ecosystem is, you know, building a beautiful PowerPoint presentation. It's still a hard problem for these models. Like, like we still, you know, like, like these formats are just, we're not built for.They'reswyx: working on it.Aaron Levie: They're, they're working on it. Everybody's working on it.swyx: Every launch is like, well, we do PowerPoint now.Aaron Levie: We're getting, yeah, getting a lot, getting a lot of better each time. But then you'll do this thing where you'll ask the update one slide and all of a sudden, like the fonts will be just like a little bit different, you know, on two of the slides, or it moved, you know, some shape over to the left a little bit.And again, these are the kind of things that, like in code, obviously you could really care about if you really care about, you know, how beautiful is the code, but at the end, user doesn't notice all those problems and file creation, the end user instantly sees it. You're [00:41:00] like, ah, like paragraph three, like, you literally just changed the font on me.Like it's a totally different font and like midway through the document. Mm-hmm. Those are the kind of things that you run into a lot of in the, in the content creation side. So, mm-hmm. We are gonna have native agents. That do all of those things, they'll be powered by the leading kind of models and labs.But the thing that I think is, is probably gonna be a much bigger idea over time is any agent on any system, again, using Box as a file system for its work, and in that kind of scenario, we don't necessarily care what it's putting in the file system. It could put its memory files, it could put its, you know, specification, you know, documents.It could put, you know, whatever its markdown files are, or it could, you know, generate PDFs. It's just like, it's a workspace that is, is sort of sandboxed off for its work. People can collaborate into it, it can share with other people. And, and so we, we were thinking a lot about what's the right, you know, kind of way to, to deliver that at scale.Docs Graphs and Founder Modeswyx: I wanted to come into sort of the sort of AI transformation or AI sort of, uh, operations things. [00:42:00] Um, one of the tweets that you, that you wanted to talk about, this is just me going through your tweets, by the way. Oh, okay. I mean, like, this is, you readAaron Levie: one by one,swyx: you're the, you're the easiest guest to prep for because you, you already have like, this is the, this is what I'm interested in.I'm like, okay, well, areAaron Levie: we gonna get to like, like February, January or something? Where are we in the, in the timelines? How far back are we going?swyx: Can you, can you describe boxes? A set of skills? Right? Like that, that's like, that's like one of the extremes of like, well if you, you just turn everything into a markdown file.Yeah. Then your agent can run your company. Uh, like you just have to write, find the right sequence of words toAaron Levie: Yes.swyx: To do it.Aaron Levie: Sorry, isthatswyx: the question? So I think the question is like, what if we documented everything? Yes. The way that you exactly said like,Aaron Levie: yes.swyx: Um, let's get all the Fortune five hundreds, uh, prepared for agents.Yes. And like, you know, everything's in golden and, and nicely filed away and everything. Yes. What's missing? Like, what's left, right? LikeAaron Levie: Yeah.swyx: You've, you've run your company for a decade. LikeAaron Levie: Yeah. I think the challenge is that, that that information changes a week later. And because something happened in the market for that [00:43:00] customer, or us as a company that now has to go get updated, and so these systems are living and breathing and they have to experience reality and updates to reality, which right now is probably gonna be humans, you know, kinda giving those, giving them the updates.And, you know, there is this piece about context graphs as as, uh, that kinda went very viral. Yeah. And I, I, I was like a, i, I, I thought it was super provocative. I agreed with many parts of it. I disagree with a few parts around. You know, it's not gonna be as easy as as just if we just had the agent traces, then we can finally do that work because there's just like, there's so much more other stuff that that's happening that, that we haven't been able to capture and digitize.And I think they actually represented that in the piece to be clear. But like there's just a lot of work, you know, that that has to, you just can't have only skills files, you know, for your company because it's just gonna be like, there's gonna be a lot of other stuff that happens. Yeah. Change over time.Yeah. Most companies are practically apprenticeships.swyx: Most companies are practically apprenticeships. LikeJeff Huber: every new employee who joins the team, [00:44:00] like you span one to three months. Like ramping them up.Aaron Levie: Yes. AllJeff Huber: that tat knowledgeAaron Levie: isJeff Huber: not written down.Aaron Levie: Yes.Jeff Huber: But like, it would have to be if you wanted to like give it to an Asian.Right. And so like that seems to me like to beAaron Levie: one is I think you're gonna see again a premium on companies that can document this. Mm-hmm. Much. There'll be a huge premium on that because, because you know, can you shorten that three month ramp cycle to a two week ramp cycle? That's an instant productivity gain.Can you re dramatically reduce rework in the organization because you've documented where all the stuff is and where the answers are. Can you make your average employee as good as your 90th percentile employee because you've captured the knowledge that's sort of in the heads of, of those top employees and make that available.So like you can see some very clear productivity benefits. Mm-hmm. If you had a company culture of making sure you know your information was captured, digitized, put in a format that was agent ready and then made available to agents to work with, and then you just, again, have this reality of like add a 10,000 person [00:45:00] company.Mapping that to the, you know, access structure of the company is just a hard problem. Is like, is like, yeah, well, you just, not every piece of information that's digitized can be shared to everybody. And so now you have to organize that in a way that actually works. There was a pretty good piece, um, this, this, uh, this piece called your company as a file is a file system.I, did you see that one?swyx: Nope.Aaron Levie: Uh, yes. You saw it. Yeah. And, and, uh, I actually be curious your thoughts on it. Um, like, like an interesting kind of like, we, we agree with it because, because that's how we see the world and, uh,swyx: okay. We, we have it up on screen. Oh,Aaron Levie: okay. Yeah. But, but it's all about basically like, you know, we've already, we, we, we already organized in this kind of like, you know, permission structure way.Uh, and, and these are the kind of, you know, natural ways that, that agents can now work with data. So it's kind of like this, this, you know, kind of interesting metaphor, but I do think companies will have to start to think about how they start to digitize more, more of that data. What was your take?Jeff Huber: Yeah, I mean, like the company's probably like an acid compliant file system.Aaron Levie: Uh,Jeff Huber: yeah. Which I'm guessing boxes, right? So, yeah. Yes.swyx: Yeah. [00:46:00]Jeff Huber: Which you have a great piece on, but,swyx: uh, yeah. Well, uh, I, I, my, my, my direction is a little bit like, I wanna rewind a little bit to the graph word you said that there, that's a magic trigger word for us. I always ask what's your take on knowledge graphs?Yeah. Uh, ‘cause every, especially at every data database person, I just wanna see what they think. There's been knowledge graphs, hype cycles, and you've seen it all. So.Aaron Levie: Hmm. I actually am not the expert in knowledge graphs, so, so that you might need toswyx: research, you don't need to be an expert. Yeah. I think it's just like, well, how, how seriously do people take it?Yeah. Like, is is, is there a lot of potential in the, in the HOVI?Aaron Levie: Uh, well, can I, can I, uh, understand first if it's, um, is this a loaded question in the sense of are you super pro, super con, super anti medium? Iswyx: see pro, I see pros and cons. Okay. Uh, but I, I think your opinion should be independent of mine.Aaron Levie: Yeah. No, no, totally. Yeah. I just want to see what I'm stepping into.swyx: No, I know. It's a, and it's a huge trigger word for a lot of people out Yeah. In our audience. And they're, they're trying to figure out why is that? Because whyAaron Levie: is this such aswyx: hot item for them? Because a lot of people get graph religion.And they're like, everything's a graph. Of course you have to represent it as a graph. Well, [00:47:00] how do you solve your knowledge? Um, changing over time? Well, it's a graph.Aaron Levie: Yeah.swyx: And, and I think there, there's that line of work and then there's, there's a lot of people who are like, well, you don't need it. And both are right.Aaron Levie: Yeah. And what do the people who say you don't need it, what are theyswyx: arguing for Mark down files. Oh, sure, sure. Simplicity.Aaron Levie: Yeah.swyx: Versus it's, it's structure versus less structure. Right. That's, that's all what it is. I do.Aaron Levie: I think the tricky thing is, um, is, is again, when this gets met with real humans, they're just going to their computer.They're just working with some people on Slack or teams. They're just sharing some data through a collaborative file system and Google Docs or Box or whatever. I certainly like the vision of most, most knowledge graph, you know, kind of futuristic kind of ways of thinking about it. Uh, it's just like, you know, it's 2026.We haven't seen it yet. Kind of play out as as, I mean, I remember. Do you remember the, um, in like, actually I don't, I don't even know how old you guys are, but I'll for, for to show my age. I remember 17 years ago, everybody thought enterprises would just run on [00:48:00] Wikis. Yeah. And, uh, confluence and, and not even, I mean, confluence actually took off for engineering for sure.Like unquestionably. But like, this was like everything would be in the w. And I think based on our, uh, our, uh, general style of, of, of what we were building, like we were just like, I don't know, people just like wanna workspace. They're gonna collaborate with other people.swyx: Exactly. Yeah. So you were, you were anti-knowledge graph.Aaron Levie: Not anti, not anti. Soswyx: not nonAaron Levie: I'm not, I'm not anti. ‘cause I think, I think your search system, I just think these are two systems that probably, but like, I'm, I'm not in any religious war. I don't want to be in anybody's YouTube comments on this. There's not a fight for me.swyx: We, we love YouTube comments. We're, we're, we're get into comments.Aaron Levie: Okay. Uh, but like, but I, I, it's mostly just a virtue of what we built. Yeah. And we just continued down that path. Yeah.swyx: Yeah.Aaron Levie: And, um, and that, that was what we pursued. But I'm not, this is not a, you know, kind of, this is not a, uh, it'sswyx: not existential for you. Great.Aaron Levie: We're happy to plug into somebody else's graph.We're happy to feed data into it. We're happy for [00:49:00] agents to, to talk to multiple systems. Not, not our fight.swyx: Yeah.Aaron Levie: But I need your answer. Yeah. Graphs or nerd Snipes is very effective nerd.swyx: See this is, this is one, one opinion and then I've,Jeff Huber: and I think that the actual graph structure is emergent in the mind of the agent.Ah, in the same way it is in the mind of the human. And that's a more powerful graph ‘cause it actually involved over time.swyx: So don't tell me how to graph. I'll, I'll figure it out myself. Exactly. Okay. All right. AndJeff Huber: what's yours?swyx: I like the, the Wiki approach. Uh, my, I'm actually

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News and Updates: Pew Research on Teen AI Usage: A Pew study reveals 54% of U.S. teens use AI for schoolwork. While many use it for research, others admit to frequent chatbot-assisted cheating. Waymo Using Gig Workers: Waymo is paying gig workers $20–$24 to manually close robotaxi doors. The driverless Jaguars cannot move if passengers leave doors ajar after exiting. Waymo Clarifies Human Assistance: Waymo defended its use of overseas assistants to "guide" vehicles in complex traffic, stressing that humans provide environmental context but do not remotely drive. Tesla Suing To Use “AutoPilot and FSD”: Tesla is suing the California DMV, claiming the ban on "Autopilot" marketing violates the First Amendment and ignores the company's clear driver supervision warnings.

Waymo's school bus trouble gets investigated by the NTSB. Was it the fault of remote assistance, the Waymo driver or everyone else? Maybe Waymo's PR team will take a break - they deserve it - and Waymo will give an honest account of it's shortcomings. In Austin Waymo fails at a U-turn and makes a cop move their car. Destination charges are getting out of hand, China is beating the US at AV safety rules, Arkansas has dangerous PIT maneuvers, recalls and more.Support the show!https://www.msn.com/en-us/money/companies/ntsb-says-waymo-robotaxis-illegally-passed-stopped-school-buses-in-new-incidents/ar-AA1XsFvUhttps://www.autoevolution.com/news/waymo-robotaxi-blocks-first-responders-in-austin-mass-shooting-raising-fresh-questions-about-safety-266511.htmlhttps://www.kxan.com/news/austin-mass-shooting/video-waymo-seen-blocking-first-responders-during-west-sixth-shooting/https://www.consumerreports.org/cars/buying-a-car/most-and-least-expensive-car-destination-charges-a1173758325/https://www.staradvertiser.com/2026/02/24/breaking-news/carmakers-push-toward-eyes-off-driving-despite-safety-liability-questions/https://www.arkansasonline.com/news/2026/feb/27/arkansas-state-trooper-used-pit-maneuver-on-car/https://www.jalopnik.com/2111787/denmark-red-streetlights-doing-more-than-saving-energy/https://static.nhtsa.gov/odi/rcl/2026/RCLRPT-26V104-9142.pdfhttps://static.nhtsa.gov/odi/rcl/2026/RCLRPT-26V105-1574.pdfhttps://static.nhtsa.gov/odi/rcl/2026/RCLRPT-26V106-8604.pdf

每周新书听友群微信号：yinmingshu002。音频文字发布在公众号“北京读天下”。Zipline创始人兼CEO Keller Rinaudo Cliffton认为，从历史经验来看，硬件服务商业化通常会对人类社会产生重大影响。同样是硬件产品，不同产品的开发过程也有各自的特点。手机、无人机、工业机器人这些硬件产品是在商业环境中开发并取得成功的，无人驾驶却不是这样。无人驾驶能够取得技术突破，给人印象最深的不是理论研究，也不是商业竞争，而是技术攻关的组织工作。在无人驾驶技术研发过程中，存在着一个强大的主导力量，DARPA。2021年美国国防授权法案中有两项非常具体的技术规定。到2010年，1/3美军纵深打击飞机应当是无人驾驶和远程控制的。到2015年，1/3的地面作战车辆应当是无人驾驶的。前一项要求比较容易，DARPA开发的捕食者察打一体无人机1995年已经开始执行作战任务。第二项则要难得多，立法人员并不了解无人驾驶车辆的技术难度。地面无人车辆已经有，但只限于特定功能车辆，不具备通用能力。然而国会的要求是无人驾驶车辆要达到每小时20~30英里，这样的技术当时并不存在。

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. 

We have the latest details on all the happenings of the Iran war, recapping a great night of primaries in Texas, and Jen has another reason to hate the Waymo automatic cars. We have the details on all of those stories and so much more on this Wednesday!See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

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

On today's MJ Morning Show:MJ was off Friday & MondayMorons in the newsFester lost his jury summons... we took calls from listeners who have missed/forgotten their jury dutyTampa International Airport has banned pajamas... It's joke, people!Inside airports' lost & found show on HuluPeople are worried about MJ and Michelle after taking time offMJ's elbow painJackie the eagle has eggsGas prices spikedHoneymooning couple from Brandon had to flee Abu DhabiPhony story alert! Outback waitress did not return a tipA McDonald's drive-thru worker was hit in the face by a FrappéMcDonald's CEO taste-tests the new Big Arch in a cringe-worthy videoGuy at a Bass Pro Shop does the WRONG thing at the gun counterSisters arrested for throwing a chihuahua from a moving carChild drinks meth from a sippy cupDo not believe sob stories in a parking lot Guy scanned taco seasoning packets to steal collectible cards Waymo blocked an ambulance from getting to an emergencyJustin Timberlake is trying to block the bodycam video of his DUI arrestDiddy getting a slightly earlier releaseHulk Hogan estate facing a $10 million claimDeath aboard Deadliest Catch shipNew evidence in Kiefer Sutherland assault caseLindsay Lohan is safe in DubaiQuentin Tarantino also is reportedly safe, contrary to rumorsSocial media is wondering what's going on with Jim CarreyCollege basketball player mysteriously dropped from rosterSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

We're talking about the politics of Waymo in DC, the state of the Potomac after the spill, and allegations about workers getting stiffed at what was supposed to be a groundbreaking gay bar. Plus, in a members-only fourth segment, we'll talk about George Washington University selling a Virginia campus — and what it might mean for downtown DC. Want some more DC news? Then make sure to sign up for our morning newsletter Hey DC. You can text us or leave a voicemail at: (202) 642-2654. You can also become a member, with ad-free listening, for as little as $10 a month.  Learn more about the sponsors of this March 3rd episode: National Museum of the American Indian  Awesome Con Interested in advertising with City Cast? Find more info HERE

After discussing the horrendous shooting on 6th street in Austin, the gang reviews the footage of a self-driving Waymo car holding up traffic and preventing first responders from getting where they needed to be. 

More responses arrive to NHTSA's request for comments on Global AV Regulation. Waymo validation of business model. Why are American passenger trains slow and the future of long haul. Join Princeton's Alain Kornhauser and co-host Fred Fishkin for episode 408 of Smart Driving Cars and remember to subscribe! And catch us on The Transportation Channel.

As we emerge from our winter cocoons, there's a whole city's worth of activities awaiting us for March and the glorious arrival of spring. Host Marie Cecile Anderson is joined by producer Daniel Sumstine and executive producer Whitney Pastorek to talk about everything they're excited to eat, hear, and do this month. From St. Patrick's Day to March Madness, we've got you covered. If you're looking for even MORE options, we've featured some great activities and important news stories across the city in recent episodes, like the imminent launch of Waymo and how some local organizers say the city has to change before the next disaster hits. Catch up at nashville.citycast.fm/podcasts. Get more from City Cast Nashville when you become a City Cast Nashville Neighbor. You'll enjoy perks like ad-free listening, invitations to members only events and more. Join now at membership.citycast.fm/nashville Want some more City Cast Nashville news? Then make sure to sign up for our City Cast Nashville newsletter.  Follow us @citycastnashville You can also text us or leave a voicemail at: 615-200-6392 Interested in advertising with City Cast? Find more info HERE.

Investor lessons from working at three billion-dollar companies and mentoring 200+ founders.

We would love to hear your feedback!We trade late-night rideshare stories with real safety lessons, then dig into Uber's background check controversy, the pace of misconduct reports, and what policy changes could actually protect people. We also explore Uber's EV charging push, a new trash-day gig app, Life360's family integration, Waymo's assertive maneuvers, and DoorDash's retail surge.• fast-driving Uber and Lyft rides, phone mount risks, rating and reporting choices• lifetime bans for sexual offenses and violent felonies, extended lookbacks for others• Uber's $100m EV charging network, DC fast charging economics, hybrid advantage• Crew Home app for short-term rental trash routes, route density, and payout clarity• Life360 and Uber linking for teen rides and real-time location• dashcam value, boundaries when riders leave kids or push unsafe requests• Waymo lane aggression and how autonomy should yield• DoorDash growth in flowers, retail partners, and on-demand convenienceThank you, guys, for supporting the show. If you would like to support the show, 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

Segment 1: Ilyce Glink, owner of Think Glink Media, joins John Williams to talk about the accumulated wealth of the Silent Generation, how the market is reacting to the U.S. attack on Iran, and what’s likely to happen with oil prices. Segment 2: Jim Dallke, Director of Communications, TechNexus Venture Collaborative, tells John about Chicago startup SpotHero being officially […]

DHS shutdown forces missed paychecks as immigration standoff deepensIran latest - US and Israel launch military operations against Iran Domestic reaction to Iran operations - what are lawmakers saying? Waymo to bring driverless cars to Chicago, eyes Midwest expansionPresident Trump news of the day 

New Book: Climate Capital — Investing in the Tools for a Regenerative Future | An Interview with Tom Chi | An Analog Brain In A Digital Age With Marco Ciappelli What if the economy isn't broken — just badly designed? Tom Chi, Google X founding member, inventor of 77 patents, and venture capitalist at At One Ventures, joined me on An Analog Brain In A Digital Age to discuss his new book Climate Capital: Investing in the Tools for a Regenerative Future. From the streets of Florence to the strip malls of Silicon Valley, from the mechanics of attention capture to the physics of ecological economics, this conversation goes far beyond climate. It's about how we design the systems we live inside — and whether we have the will to redesign them before it's too late.

It's EV News Briefly for Saturday 28 February 2026, everything you need to know in less than 5 minutes if you haven't got time for the full show.Patreon supporters fund this show, get the episodes ad free, as soon as they're ready and are part of the EV News Daily Community. You can be like them by clicking here: https://www.patreon.com/EVNewsDailyRENAULT 5 E-TECH WINS 2026 UK CAR OF YEAR https://evne.ws/3OAv77q POLESTAR ADDS LIVE LANE GUIDANCE TO DRIVER DISPLAY https://evne.ws/4bcjzQm WAYMO LAUNCHES ROBOTAXIS IN FOUR NEW US CITIES https://evne.ws/4cieaIK EU “BUY EUROPEAN” DRAFT PUTS GERMAN EV AID AT RISK https://evne.ws/4aGfqEk CHANGAN DEEPAL S05 UK SALES START MARCH 1 https://evne.ws/4l2iv55 ACCIONA TO BUILD 4MW EV HUB INSIDE M-30 https://evne.ws/4bdCJp1 SCANIA ENGINEER TAKES ELECTRIC TRUCK THROUGH 21 COUNTRIES https://evne.ws/4aG1DO7 FACTORIAL TAPS KOREAN PARTNER TO SCALE SOLID-STATE CELLS https://evne.ws/3N2jhCx

Can you help me make more podcasts? Consider supporting me on Patreon as the service is 100% funded by you: https://EVne.ws/patreon You can read all the latest news on the blog here: https://EVne.ws/blog Subscribe for free and listen to the podcast on audio platforms:➤ Apple: https://EVne.ws/apple➤ YouTube Music: https://EVne.ws/youtubemusic➤ Spotify: https://EVne.ws/spotify➤ TuneIn: https://EVne.ws/tunein➤ iHeart: https://EVne.ws/iheart RENAULT 5 E-TECH WINS 2026 UK CAR OF YEAR https://evne.ws/3OAv77q POLESTAR ADDS LIVE LANE GUIDANCE TO DRIVER DISPLAY https://evne.ws/4bcjzQm WAYMO LAUNCHES ROBOTAXIS IN FOUR NEW US CITIES https://evne.ws/4cieaIK EU “BUY EUROPEAN” DRAFT PUTS GERMAN EV AID AT RISK https://evne.ws/4aGfqEk CHANGAN DEEPAL S05 UK SALES START MARCH 1 https://evne.ws/4l2iv55 ACCIONA TO BUILD 4MW EV HUB INSIDE M-30 https://evne.ws/4bdCJp1 SCANIA ENGINEER TAKES ELECTRIC TRUCK THROUGH 21 COUNTRIES https://evne.ws/4aG1DO7 FACTORIAL TAPS KOREAN PARTNER TO SCALE SOLID-STATE CELLS https://evne.ws/3N2jhCx

This week on Autonomy Markets, Grayson Brulte and Walter Piecyk discuss Uber's new Autonomous Vehicle Solutions initiative, Waymo's growing markets, and the growth of Physical AI powered by NVIDIA.As Uber's stock languishes in the low seventies due to investor overhang about the future of autonomy, the company announced Uber Autonomous Solutions, a new initiative to support the growth of autonomous vehicles on the Uber platform.Grayson and Walt break down the initiative point by point, examining Uber's strategy of providing training data, enriched mapping, venue management, and autonomous vehicle insurance. While Grayson views much of the in-car experience pitch as buzzword Alley, Walt argues that AV mission control and fleet management are the true meat of Uber's strategy, aiming to provide the critical API for a fragmented market. This sparks a spirited debate on whether Uber is maintaining its asset-light identity or quietly creeping into asset-heavy operations by owning and operating robotaxi assets.The conversation then shifts to the geopolitical risks of Uber's international partnerships, as the company recently hosted analysts in Abu Dhabi to meet with Chinese autonomous partners WeRide and Baidu. Grayson warns of the tremendous blowback and political risk this carries back home, especially given the current US administration's active stance on social media regarding foreign technology.Walt and Grayson also discuss a recent broker report, shared by Uber CFO Balaji Krishnamurthy on X, that analyzed just 34 trips in Austin and claimed there is no cost advantage to autonomy. They call the sample size too small and the conclusions baffling given the obvious long-term benefits of removing human drivers.Contrasting Uber's narrative tour, Waymo is aggressively scaling and growing revenue. This week, Waymo announced they have crossed 1 million fully autonomous freeway miles, expanded into Chicago and Charlotte, and opened up Dallas, Houston, San Antonio, and Orlando to early riders.Notably, Uber was absent from these new market announcements, leading Grayson to point out the potentially waning relationship between the two companies. Furthermore, he put on his inspector hat to uncover signs of Waymo's grand ambitions in the EU, citing meetings with the European Commission and job postings for EU regulatory counsel.As Waymo scales, the capital markets are flowing for autonomy investments, highlighted by Wayve securing a $1.2 billion check at an $8.6 billion valuation. The round includes investments from SoftBank, NVIDIA, Stellantis, and Nissan, with Uber committing to own and operate the Wayve fleet in 10 upcoming markets, starting with London.Then there is the growth of physical AI, which NVIDIA announced contributed $6 billion in earnings last quarter, with CFO Colette Kress signaling that robotaxis and humanoids are poised to be major growth markets over the next decade.Episode Chapters00:00 Uber's Identity Crisis 1:33 Breaking Down Uber Autonomous Solutions20:43 Uber's Abu Dhabi Analyst Day & Chinese Tech Risks 35:37 Waymo Announces Chicago & Charlotte as New Markets 40:55 Uber and Waymo's Waning Relationship 42:03 Waymo Surpasses 1 Million Fully Autonomous Freeway Miles43:56 Waymo Eyes the EU Expansion 46:32 Wayve's $1.2B Funding Round50:39 NVIDIA, Physical AI, & Humanoids 53:04 Next WeekRecorded on Friday, February 27, 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.

Episode 789: Neal and Ann dive into why Netflix has walked away from acquiring Warner Bros. Discovery after Paramount makes another counter offer. Then, Jack Dorsey's Block cuts nearly half of his staff due to AI, and he thinks companies will ultimately do the same. Meanwhile, more and more Americans are packing up their bags and moving away. Also, Waymo expands into more cities. Papa John's closes hundreds of stores. And Doritos launches protein chips.  Subscribe to Morning Brew Daily for more of the news you need to start your day. Share the show with a friend, and leave us a review on your favorite podcast app. Listen to Morning Brew Daily Here:⁠ ⁠⁠https://www.swap.fm/l/mbd-note⁠⁠⁠  Watch Morning Brew Daily Here:⁠ ⁠⁠https://www.youtube.com/@MorningBrewDailyShow⁠ ​For more of Ann, check out Brew Markets here: swap.fm/l/brewmarketsshow Learn more about your ad choices. Visit megaphone.fm/adchoices

Why are fewer than half of the county judicial races in this year's primary elections uncontested? Where are Rev. Jackson's homegoing services being held in Chicago? What's going on with that fleet of Waymo cars parked in a downtown parking garage? We're answering these questions and more with freelance writer Natalie Christian-Frazier and Block Club Chicago's Jamie Nesbitt Golden. Plus, we are showing love to Kennedy-King's iconic radio station, North Lawndale's Peace Runners 773, and Englewood's Girl Scout troop. 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 Feb. 27 episode: Steppenwolf Theatre Griffin MSI Access Contemporary Music – Use promo code PIANO for 20% off South By Southwest – Unlock a 10% discount on your Innovation Badge when you use code citycast10 Become a member of City Cast Chicago. Interested in advertising with City Cast? Find more info HERE

In this month's edition of The Bay's monthly news roundup we discuss the effect of the booming AI industry on San Francisco's rental market, Rep. Jared Huffman's visit to his “radically redrawn” district since the passage of Prop. 50, and the revelation that Waymo employs remote workers in the Philippines.  Links:  AI is pushing S.F. rents higher and higher. Here's how tenants are dealing (Mission Local) In his radically redrawn new district, a Marin congressman gets thrown to the wolves (San Francisco Chronicle) Here's How Many Remote Operators Waymo Has Per Self-Driving Taxi (Futurism) Learn more about your ad choices. Visit megaphone.fm/adchoices

In the Electrek Podcast, we discuss the most popular news in the world of sustainable transport and energy. In this week's episode, we discuss Tesla's Cybercab being dead on arrival, Donut Lab's miracle battery, Waymo expanding, and more. The show is live every Friday at 4 p.m. ET on Electrek's YouTube channel. As a reminder, we'll have an accompanying post, like this one, on the site with an embedded link to the live stream. Head to the YouTube channel to get your questions and comments in. After the show ends at around 5 p.m. ET, the video will be archived on YouTube and the audio on all your favorite podcast apps: Apple Podcasts Spotify Overcast Pocket Casts Castro RSS We now have a Patreon if you want to help us avoid more ads and invest more in our content. We have some awesome gifts for our Patreons and more coming. Here are a few of the articles that we will discuss during the podcast: Elon Musk threatens to halt Tesla Giga Berlin expansion over union vote Tesla Cybercab program manager exits ahead of launch Tesla adds 64 Megacharger locations to map, revealing Semi truck charging routes Used Tesla prices rise 4.3% while rest of EV market drops after tax credit ends Donut Lab's ‘miracle' solid-state battery confirms 0-80% charge in 4.5 min — but there's a catch BYD to unveil 1,500kW EV charger that can add 2km of range in 1 second Lucid (LCID) announces ‘step-change' in Q4 as it aims to build 25,000 to 27,000 EVs in 2026 Waymo adds 4 more cities to its robotaxi service, now 10 total (Tesla: still 0) Here's the live stream for today's episode starting at 4:00 p.m. ET (or the video after 5 p.m. ET: https://www.youtube.com/live/8u-7fZpN36M

President Trump invokes the stabbing death of Iryna Zarutska during his State of the Union, incorrectly saying the man accused of killing her is an undocumented immigrant. Four people are taken into ICE custody outside the Mecklenburg County Courthouse, self-driving Waymo taxis may soon be on Charlotte streets, and the impact of the recent winter storm continues as power bills come due.

Feb. 27, 2026- State Senate Transportation Committee Chair Jeremy Cooney, a Rochester-area Democrat, laments the governor abandoning an expansion of for-hire autonomous vehicles and calls for a new car registration fee to fund public transit.

Mack Liederman, Block Club Chicago reporter, joins Jon Hansen, in for Lisa Dent, to talk about Waymo cars coming to Chicago. As Waymo makes an attempt to break into the Chicago market, they are having humans drive the Waymo vehicles to map and collect data on Chicago streets. Before Waymo can move to fully self-driving, […]

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.

Jim talks with cognitive scientist and AI researcher Joscha Bach about the computational and representational foundations of consciousness, mind, and reality. They discuss the phenomenology of waking up and coalescing into a self, language as a representational architecture and natural language as "a genre of music," the brain as a game engine constructing a simulated world, the "feeling of realness" as a hallucination, "to be real means to be implemented" as a criterion for reality, money as an AI and a mechanism for reward allocation, the need for multi-dimensional organizational signaling beyond money, the apparent reversibility of the universe as an emergent observational artifact, the block universe and its incompatibility with stacked emergence, causality as a model property and retrocausality at the level of agents, computation vs. the simulation hypothesis, the brain's object engine and the perceptual choice to see textures vs. named objects, aphantasia and metacognition about perception, why only simulations can be conscious, Christof Koch's shift from physicalism to panpsychism and the unreliability of revelatory mental states, consciousness as second-order perception distinct from selfhood, panpsychism's resurgence and its failure to formalize "the consciousness of a particle," consciousness as happening at neuronal communication speeds, intelligence vs. consciousness as relatively orthogonal dimensions, the Waymo as highly intelligent but not conscious, François Chollet's argument that deploying skills is not itself intelligent, consciousness as a consensus algorithm analogous to blockchain, whether a bacterium or a cat needs a self-model to achieve coherence, emotion and motivation as core to cognition in MicroPsi, Karl Friston's free energy principle and its limits at higher emergent levels, humans as "multicellular at the next level" forming transcendental agents, the global optimum of collectively enacted agency as "God" as the ultimate source of meaning, and much more. Episode Transcript California Institute for Machine Consciousness (CIMC) Principles of Synthetic Intelligence, by Joscha Bach JRS EP 72 - Joscha Bach on Minds, Machines & Magic JRS EP 87: Joscha Bach on Theories of Consciousness - JRS EP Currents 83: Joscha Bach on Synthetic Intelligence Joscha Bach is a cognitive scientist and AI researcher, and the founder of the California Institute for Machine Consciousness. In the past, he researched and taught at Humboldt University of Berlin, the Institute of Cognitive Science in Osnabrück, MIT Media Lab, the Harvard Program for Evolutionary Dynamics and Intel Labs. He has helped build several startups and created the cognitive architecture MicroPsi, which studies the relationship between emotion, motivation and cognition. He currently lives in the Bay area in California.

Waymo driverless taxis have arrived in Orlando, Discord postpones age verification rollout, Rare 'planet parade' will happen on Saturday evening and plenty more science and technology news in this week's 'Tech It Out'

Waymo driverless taxis have arrived in Orlando, Discord postpones age verification rollout, Rare 'planet parade' will happen on Saturday evening and plenty more science and technology news in this week's 'Tech It Out'See omnystudio.com/listener for privacy information.

Seth and Sean assess who the moron is among the pundits who were pushing Stroud trade smoke, dive into some annoying Rockets questions that keep resurfacing, and discuss Waymo being in Houston and things they never thought they'd do that they now see all the time.

Seth and Sean react to Nick Caserio calling the idea of trading CJ Stroud "moronic," giving an update on Joe Mixon of sorts, if extensions for Stroud or Anderson are incoming, what matters at the Combine, go through the day's Headlines, react to the top audio coming from the NFL Combine, discuss the Jets planning to franchise tag Breece Hall, if the Texans might want to try to trade for him, see what Mel Kiper Jr. has the Texans doing in the Mock Draft Injection, assess who the moron is among the pundits who were pushing Stroud trade smoke, dive into some annoying Rockets questions that keep resurfacing, discuss Waymo being in Houston and things they never thought they'd do that they now see all the time, talk about Nick Caserio hammering home that CJ Stroud is their QB on Texans All Access, look at ways to improve offensive line and running back personnel overall, Sean lays out a big reason he's a fan of Ben Johnson now, and they see what the ITL question of the day is with Reggie and Lopez.

Pouring one out for WGN, Waymo coming to Chicago, Head 2 Headlines, and more! Chicago’s best morning radio show now has a podcast! Don’t forget to rate, review, and subscribe wherever you listen to podcasts and remember that the conversation always lives on the Q101 Facebook page. Brian & Kenzie are live every morning from 6a-10a on Q101. Subscribe to our channel HERE: https://www.youtube.com/@Q101 Like Q101 on Facebook HERE: https://www.facebook.com/q101chicago Follow Q101 on Twitter HERE: https://twitter.com/Q101Chicago Follow Q101 on Instagram HERE: https://www.instagram.com/q101chicago/?hl=en Follow Q101 on TikTok HERE: https://www.tiktok.com/@q101chicago?lang=enSee omnystudio.com/listener for privacy information.

Waymo is now ridable in Dallas. The robotaxi rideshare service launched to certain riders in Dallas. The company says certain riders who have already downloaded the app will be invited to start taking rides today. In other news, Southwest Airlines and American Airlines resumed flights to parts of Mexico on Tuesday, following two days of cancellations in connection with civil unrest sparked by the killing of a powerful cartel leader in Mexico; the Texas attorney general sued Aid Access over mail-order abortion pills, his office announced Tuesday. The suit is the second to be announced in the past month targeting an organization for allegedly mailing abortion medication into Texas; and Texas Health Resources is planning to build a hospital in McKinney, with the medical campus slated to open in 2028. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Did the Olympics just restore our faith in humanity? Even though America is still the bad guy? Even though penis injections? And even if we think A.I. might just be 60 Filipino guys? Plus: Greased Lightnin', flop sweat, deposition water bottles, the Waymo of cash registers, the ephemera of pickup basketball... and other dick-related news.Further content:• "I Hacked ChatGPT and Google's AI — and It Only Took 20 minutes" (Thomas Germain)• Previously on PTFO: We Expose a Crotch Conspiracy Rocking the Olympics• Subscribe to "Casuals with Katie Nolan"• Listen to "Sorry for Your Loss" by Michael Cruz Kayne Hosted on Acast. See acast.com/privacy for more information.

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