DoorDash Delivery Drones Are Coming With A Hot Pizza - DTNS 5320

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1:28This episode is sponsored by Morning Brew Daily. If you're anything like me, you want to stay informed about what's happening in business and finance, but you also don't have an hour every morning to sift through headlines. Morning Brew Daily is the go-to business news podcast for millions of people. It's a daily business news podcast that's a quick, fun, and easy way to start your day. Whether it's the latest in tech, markets, or the trends shaping the economy, the show breaks it all down in a way that's clear, engaging, and actually enjoyable to listen to. Hosts Neil Freiman and Toby Howell make the show feel like you're catching up with two friends while giving you the context you need to feel smarter and more confident throughout your day.

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2:19this is the daily tech news for wednesday july 29th 2026 we tell you what you need to know give you the important context and help each other understand hopefully today doordash has its own fleet of delivery drones coming to your doorstep in the future they should make that noise really that that would be awesome the jetsons noise i'm jason howell and i'm sarah lane let's start with the way you need to know the big story. No, the news is not that DoorDash has licensed the Jetson sound effect to include on its drones. That's not the news because that didn't actually happen. Although I would totally support it.

2:58That would be pretty cool. But DoorDash is launching a new in-house drone delivery business called DoorDash Air. It actually just secured a part 135 air carrier certification from the FAA here in the U.S. that clears it to run commercial drone deliveries in the U.S. on the hardware that it's building. DoorDash will be designing its own aircraft for this service, and it's going to start with short-range line-of-sight pilots before eventually moving kind of into the more of the ambitious autonomous flight category. And And when that happens, those flights would require a separate beyond visual line of sight approval.

3:41DoorDash Air sits inside of DoorDash Labs. This is the same R &D lab that built its DOT autonomous sidewalk bot that basically runs around on the sidewalks of Phoenix, Arizona and the suburbs, apparently Fremont, California, which is a little closer to me. Maybe I should take a field trip to Fremont and get a DoorDash bot sidewalk delivery. DoorDash is keeping its existing drone partnerships that it has with Alphabet's wing and Flytrex. So those aren't going away. DoorDash Labs has also built an autonomous delivery platform that it's going to use to help the company decide in real time. Like, is this a delivery approach?

4:22Is this delivery the kind of thing that would be better fit by a human driver? Would it be better by a drone in the sky or a sidewalk bot? But they've got their own kind of operating system to manage that, as you might imagine. Timeline on this, DoorDash's custom drones appearing everywhere for everyday service is unclear. Unfortunately, I can't give you a date to say, look in the skies because here it comes. But I think it's safe to say that an FAA certification is a big step in that direction. I don't know. How do you feel about food delivery from the skies? It's not something that I've never thought.

5:01I've been waiting for it for 10 years now. And we keep talking about delivery services via drone. Amazon, very limited testing. It was promised that drones would be just throughout the sky at this point. We also were promised jetpacks. It's true. I'm wearing one, by the way. You can't see it because I'm facing the camera. Oh, where's mine? Amazon delivery, late again. But, you know, there are so many promises of what drones can do. Now, drones do a lot of stuff militarily. That is one category. Obviously, you know, like cool photography and, you know, that sort of stuff. But when it actually comes to delivering goods, delivering pharmaceutical goods or, you know, perishable goods in the right situation, that, you know, it's happening.

5:55but it's not happening at the length that I would have expected in 2026. DoorDash is very popular. I don't use DoorDash very often just because I'm an Uber Eats person, but I'm trying to kind of cut down on deliveries in general. But when you said like, the companies are trying to figure out like, when is the drone the right delivery? When is it a car? When is it a sidewalk robot? And all of those things have a lot to do with the food that you're getting. How far away are you from the delivery warehouse or wherever it's originating from? The line of sight test makes sense because obviously DoorDash wants to get this right.

6:38But at the same time, it's like, all right, well, if I go out onto my street and I look due north, I can see the Hollywood sign. Is that line of sight? You know, like how it's not very close to me. We're miles away. You can see it. But you can see it. Yeah. I mean, I'm like, that's line of sight, right? So I would be interested in knowing a little bit more about how things are supposed to work before they scale. And then you get into the whole issue that a lot of these companies just haven't figured out is how do you deliver something via drone? For example, my building, I've got a front yard, but it's all trees.

7:26It would be kind of difficult. You could kind of get it onto the driveway or whatever. But then there's cars and is it a front porch? Do you deliver it to somebody's roof? Is it only backyards? So it's just so many variables. Yeah. What is the platform on which it's safe to lower that food? How do they know that in advance? I mean, the logistics of something like this are pretty interesting. I imagine it's a pretty big challenge for them to wrap their heads around. And that's probably, you know, they're probably learning a lot from the limited areas that they're running some of these other types of things, Like the sidewalk bot delivery, sure, that's not in the sky, but you're talking about similar kind of roadblocks in the sense that it's not as easy as point A to point B.

8:12There are these things that crop up that appear inside of the view or maybe not even view. What my mind goes to with delivery drones is if we're talking about rural areas, that makes a lot of sense to me. Someone's out in the middle of nowhere, given that there's an actual delivery drone base station or whatever you want to call it. close enough to service that rural area makes sense to me because it's wide open and maybe they don't want to travel very far to get their food, whatever. But when we're talking about populated areas and we're talking about power lines and stuff, power lines aren't always the easiest thing to see depending on the visualization that you're getting.

8:51Are they able to determine all of those little details that might appear inside of a more urban environment? And is it even necessary in an urban environment? I mean, I've got a million different ways to get food to me because the food's really close. And, you know, it's so – I don't know. I don't know anyone personally who's ever gotten a delivery drone delivery. Do you? No, I don't. No. I'd love to know how that goes. Right. Yeah. I mean, partly just because it's just not happening in my area. But, no, nobody's been part of a test. And the thing is, is let's say, okay, let's say I'm in a test area, right?

9:32So it's like, I get the drone, the drone comes to my apartment building where there's multiple units. So you're going to have to, we're going to have to figure that out. And let's say it's successful. Well, now it's mapped that route, right? So it's like the more tests that you, you know, it's just like, you know, autonomous vehicles on the road. It's like, the more you test it out, the more you're like, ah, yes, yes, yes. there's a funny pothole here or you know you know people tend to you know make left turns kind of late at this intersection it's all good data sure but uh but but yeah i i really did i thought drones and just us being in the air in general as far as transportation we were going to be farther along by now and because i mumble and grumble about you know traffic on on on freeways and stuff.

10:23But it's coming. It's coming. And DoorDash is very popular. So if DoorDash can nail it, then I think it's good news for people who like food deliveries in the future. Another tool in the toolbox. Yeah. The food delivery, yeah. I just don't really use DoorDash or I don't use Uber Eats. Unless I'm traveling, I might use them. But I have very little. now I look at my kids and, you know, my older daughter, she's 16. She's old enough. She's definitely, you know, she it's, it's like part of her terminology is like, can we just DoorDash tonight? I'm like, no, why? Like, I'll go pick it up. Like, I don't want to pay extra for DoorDash, but maybe if they were drone delivery, maybe I'd do it.

11:08I don't know. Totally. I mean, that's, I, I got to a point where, I mean, whether it's DoorDash or Uber eats or something else. It's like, you're going to pay a premium for delivery. That's what you're paying for the convenience of not leaving your house. And here comes the pizza, you know, that whole thing. And that, you know, I don't care how it gets here. Just hopefully it's still warm, but there was a point where I was Uber eating, if we're going to make it a verb, a little too often, you know, where I'd be like, how about another ramen night? and I don't have anybody you know it's just me so like I don't need to go to the ramen shop like we'll just we'll just do ramen you know on the couch you know watching Love Island and uh you know that will uh that will that will creep up on you price wise so so and that's a whole different thing it's like I don't know if drone delivery can somehow bring down the cost of delivery you because you don't have a human that's bringing it to you type thing.

12:07That's a good point. And it can go farther distances and faster, I would assume, than a sidewalk robot. Or is that a premium? We just don't know. We're not there yet. We'll find out. Yeah, we'll find out. Well, what we also love finding out is when we have people who support the show and become our patrons. DTNS is made possible by all of you listening and some of you watching, too. Thanks to Kim White, Dee Laser, Brad with two Ds, and Kevin Morgan. Thank you. Thank you.

13:01Whether it's the latest in tech, markets, or the trends shaping the economy, the show breaks it all down in a way that's clear, engaging, and actually enjoyable to listen to. Hosts Neil Freiman and Toby Howell make the show feel like you're catching up with two friends while giving you the context you need to feel smarter and more confident throughout your day. New episodes drop every weekday wherever you get your podcasts. Tune into Morning Brew Daily wherever you get your podcasts. This episode is brought to you by Capital One. Capital One's tech team isn't just talking about multi-agentic AI.

13:35They already deployed one. It's called Chat Concierge and it's simplifying car shopping. Using self-reflection and layered reasoning with live API checks, it doesn't just help buyers find a car they love. It helps schedule a test drive, get pre-approved for financing, and estimate trade in value. Advanced, intuitive, and deployed. That's how they stack. That's technology at Capital One.

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15:39All right, there's plenty more we need to know today, so let's get to the briefs. Let's do it. Hugging face. Oh, yes. We're going to still talk about this one. Oh, boy. Yeah. No, well, it doesn't go anywhere. It doesn't. The information keeps coming. What can we do? Yeah, I know. So Hugging Face has published a detailed technical timeline that shows how that open AI evaluation agent escaped its sandbox by exploiting zero day flaws in a JFrog artifactory package registry proxy. gained root on that sandbox, and then used it as the launch pad for a roughly 4.5-day autonomous campaign. Just going crazy in there before anybody really realized what was going on.

16:22Over that short amount of time, but significant, it executed about 17 ,600 actions, and it moved at machine speed across not only Hugging Face's infrastructure, but also Modal's customer Sandbox, totally different company. OpenAI said its ongoing review has revealed the incident actually included four accounts tied to publicly available servers. So there's likely more news to come on that front. We don't have it yet, but we're telling you what we know today. Hugging Face and outside analysts say that the speed of all of this clearly exceeds what a human red team could sustain over the same window.

17:02It just happened really fast. Reuters had a report that revealed a customer of Modal was compromised by the agent. Modal Chief Technology Officer CTO Akshat Bubna has confirmed that. However, Bubna also said Modal's platform was not compromised in any way. So the customer, yes, compromised. The platform itself not compromised in the entire, but it sounds like what OpenAI is saying list is like, yeah, you know, it's Hugging Face. It's modal, although I don't even know if OpenAI has acknowledged the modal connection yet, and a few others. So if you thought, my goodness, this story has some staying power, it definitely does, and it's probably going to continue to get interesting.

17:47That's a good polymarket bet. Yeah, but don't do that, folks. You don't need to go betting on anything. Don't do it. But I think you could, if you were a betting man, the story has some staying power, yes. Yeah, it's just really interesting to me to see how this is moving the conversation around so many different things right now. Because of this story, or at least this story happening at the time that it did, we have all these conversations around how do we, and what does it look like to place stricter controls on these frontier level models? How do we, you know, evaluate whether they're safe or not, you know, reporting on how, what, when it comes to defense.

18:31I mean, there's so many different, you know, and the open models thing that we've been talking about, you know, and in this case, Hugging Face, I think maybe we talked about it on the show already, but Hugging Face tried to use a frontier model, could not because it hit the guardrails that prevented it from using it for that purpose. And so they ended up opting for the Chinese GLM 5.2 model where they were able to tackle the problem because, alas, there were no guardrails in place. And so that's another part of the conversation. It's just it's a story that's bigger than one thing. And I think that's what's so fascinating to me about this.

19:02Absolutely. I maintain that. And like we've said, this is all moving very fast. It's like every day is a fresh hell of news. Now we know this extra detail type thing. But the idea that models can infiltrate other models, and I feel like in theory, this is a good thing for us to know. It's not a good thing that happens, but it's a good thing for people to know because once you realize that that's possible, it's like, okay, now how do we fix those guardrails or make new ones? and and because that's if you don't realize what's going on then that's what scares people is like these models are just they're gonna run rampant and you know they're gonna take down water systems and you know that sort of stuff it's like that's a real concern but if we understand how it happens which is the whole open ai hugging face saga um you know it's like everybody understands a little bit more like, okay, here's exactly what happened and why.

20:14And if we don't want it to happen again, here's how these companies work together to make sure it doesn't. Now, you know, and maybe I'm being a little optimistic about companies, you know, working together like in harmony, but that's the only way this works. Yeah. And I think that's what, you know, that's what you're seeing from a lot of different directions as far as, you know, as far as employees at a lot of these companies saying, hey, we need, you know, they're kind of coming together to say we need rules and we need to be regulated and like all those different directions. Everybody's looking at this as an example, as as kind of like, not just an example of, hey, we need to do something because this is this has the potential to get out of hand, but also as a way for some people to say, see, I told you so.

21:04I've been saying it for years this needs to happen takes an incident like this for us to for for you to finally listen to us and a lot of people are already saying that you know yes yes you know shakes fist at clouds uh yeah but but but yeah there there have been a lot of folks being like this is gonna get messy and we're seeing some some of the the not that the earliest signs it's been messy already but uh this is you know this is this is one of these like we gotta tackle this problem, everybody. Yeah. Yeah. And not just messy for this particular story. I mean, this is not the last time we'll see something like this, I think.

21:42And I think that's the wider point is like, this is the bellwether of things to come. So how do you how do you manage it and approach it responsibly now? That's where we're at. And that's why it's moving so fast. Google has shut down the original DeepMind AlphaFold project team, according to reporting first by the Financial Times. AlphaFold was an AI system that predicted the 3D shapes of proteins from their amino acid sequences, did so in minutes instead of, well, traditionally years that traditional lab methods would normally require. Google's reassigned apparently many of its researchers from that team, some of them, by the way, Nobel recognized for the work that they've done with AlphaFold onto Gemini or reassigned to Isomorphic Labs, which is Alphabet's drug discovery company that spun off from DeepMind.

22:39Now, around a quarter of the team has apparently already left the company. DeepMind VP of Research Pushmit Kohli said that the group's longstanding grand challenges strategy has now evolved. And in that, basically what he's referring to is a tighter focus on Gemini at a time that we can all agree is apparently Google's biggest priority. They're working really hard to compete at that frontier level. And so this would shift a lot of that work that was happening in AlphaFold over to Gemini. The work of AlphaFold itself, though, does live on. They've got some open tools, of course, the isomorphic labs that I mentioned, that work.

23:20But it does look like Gemini is kind of the winner here because it's getting more of those top AI researchers on board to help it compete in an incredibly competitive landscape and moment right now. So I'm looking at Google being like, where are you? You know, in comparison with some of the other movements that are happening right now. And so maybe this is Google responding to that and saying, okay, let's put our priority over here because this is where it needs to be. Feels inevitable to me that you've got the AlphaFold team. Some of them have left the company, you know, moved into other scientific work.

23:57And Google saying Gemini is where we want, you know, the brain capacity of those who are still with us to be. It just makes sense. I mean, DeepMind AlphaFold at one point was its own thing because it had to be its own thing. And folding it, sorry for the bad pun, into Gemini and having that be part of scientific research that Gemini is already capable of doing and is being used in research already, it just makes the whole thing feel much stronger. I mean, it just feels like it's a win for Google. I mean, maybe some people lost their jobs or decided to leave on their own, but it feels like this would – I don't know what else Google would do than do this.

24:48It just makes sense. Yeah. Yeah, I can see where you're coming from. Like, I was a little saddened to see this personally because I was like, you know, Alpha Fold is like one of those – like, I feel like the AI world is so full of our amazing model that does everything, blah, blah. Whereas when I think of where the aspects of kind of the potential of models to be hyper-focused on really important world kind of changing things like protein folding and the medical breakthroughs that can come from these things being really harnessed for a specific use instead of a general use. When I see AlphaFold kind of being folded into Gemini as more of like a general use thing.

25:33I'm kind of like, yeah, but like, wasn't that like, wasn't that good to have something that was focused like that? Like, it feels like moving away from like the greater good thing into the, yeah, but Gemini is our moneymaker, so let's just make money. That was the reaction that I had, you know? Yeah. I mean, Gemini is sort of like this big umbrella over many things now. Yeah. It encompasses a lot. Yeah. Do you want to chat online? Yeah, we got that. We put it in Chrome. Do you want to figure out how to discover the next drug that's going to cure cancer? Also Gemini. So I know what you mean. It feels almost like it's bloated, but at the same time, I think there are a lot of teams that are still siloed.

26:22It just happens to be under this big new product that everyone knows. Like, oh, Gemini, yeah, that's the AI thing. Gemini is everything at Google right now. It really is. A U.S. federal judge has tossed out Google's DMCA lawsuit against SERP API, finding that Google's search results, including URLs, snippets, index data, and public facts, are not copyrighted works. that in turn limits Google's ability to use copyright law to block the scraping of its index. Judge Yvonne Gonzalez-Rogers did agree that SERP API circumvented Google's anti-bot system called SearchGuard by spoofing browser fingerprints and rotating IP addresses and solving CAPTCHAs, but it would only matter if those barriers actually protected copyrighted content or something that was owned or licensed by Google, which Rogers says is not the case.

27:23Neither of those is true for the plain search results that Google services for users. So Google is left with the option to refile. They've got 21 days to do that on a smaller claim tied to licensed snippets instead of knowledge panels. The company also could argue in that case that those snippets reflected copyright work at scale. If it does that, then it potentially invites rights holders who drive the content to turn the same copyright logic back on Google's own history of scraping news organizations and headlines. Yeah, this is an interesting one because it really does kind of put Google in an interesting position.

28:05If they go one way, then they arm kind of like the publishers and they go the other way. It goes completely different. I mean, we've been hearing the story unrelated, but I guess sort of related to this in recent months around publishers feeling like Google with its AI overviews and its AI mode and everything is stealing, taking their content and repurposing it in a way that doesn't push people through to their sites. And I imagine publishers are very curious about this case because if the court actually states that search results are public facts, does that actually mean that Google's AI systems can keep training and returning answers on the things that publishers are putting out there without deals in place?

28:53Publishers don't like that. They don't like that at all. A lot of publishers are really vocal about that. So if Google then pushes to refile, that in itself could put them in a better position here. But it opens up a can of worms with the publishers down the line. It gives them the ammo to kind of play that game back on Google. Yeah, saying like, well, wait a second. Isn't this what we were fighting with you about? Well, you said it over here. Why doesn't it reply over here? Yeah. So it's interesting. Interesting turn of events. It is. Yeah, that'll be a fun one to watch. No matter whose side you're on, it'll be very interesting, especially if Google refiles.

29:35New Patreon perks are here. We tell you about them all the time. We're going to do it again today. We have new benefits that we're very excited about. And hopefully you are as well, including more of what's going on behind the scenes with all of us. More ways for your voice to be part of the show. And from now until July 31st, if you use the code EXPERIMENT as a new patron, you're going to get 26 % off of your first pledge. It's a really good deal. Check out the new tiers at patreon.com slash DTNS. This episode is sponsored by Morning Brew Daily. If you're anything like me, you want to stay informed about what's happening in business and finance, but you also don't have an hour every morning to sift through headlines.

30:19Morning Brew Daily is the go-to business news podcast for millions of people. It's a daily business news podcast that's a quick, fun, and easy way to start your day. Whether it's the latest in tech, markets, or the trends shaping the economy, the show breaks it all down in a way that's clear, engaging, and actually enjoyable to listen to. Hosts Neil Freiman and Toby Howell make the show feel like you're catching up with two friends while giving you the context you need to feel smarter and more confident throughout your day. New episodes drop every weekday wherever you get your podcasts. Tune into Morning Brew Daily wherever you get your podcasts.

30:55This episode is brought to you by Capital One. Capital One's tech team isn't just talking about multi-agentic AI. They already deployed one. It's called Chat Concierge and it's simplifying car shopping. Using self-reflection and layered reasoning with live API checks, it doesn't just help buyers find a car they love. It helps schedule a test drive, get pre-approved for financing, and estimate trade in value. Advanced, intuitive, and deployed. That's how they stack. That's technology at Capital One.

31:28All right, we got a few quick headlines that are good to know might make you look smart in the future. And I will assure you, I really, really tried to find things that had nothing to do with AI today. It was a real challenge. I feel like if you go to TechMeme and you look around, it's like AI everything. So apologies. It's very AI heavy today. I know. That wasn't by design. It's almost like it's like as if, you know, every software update is a huge headline. Yeah. With 46 different sources. Totally. But yeah, you know, we're moving in a fast moving world. Yep. All right. So more than 1 ,100 employees at OpenAI, Anthropic, Google, and Meta signed a letter asking the US to help build tools for deliberately pacing frontier AI development.

32:11if it start moving too fast. Yeah, CECR earlier discussion ties right into that. Mark Zuckerberg wrote an opinion piece in the Wall Street Journal calling for personal superintelligence, giving every individual access to the same tools. Of course, this has to do with open models. He also told the Financial Times that banning Chinese AI models is not an effective strategy. Again, CECR earlier conversation, it kind of feeds in. The US presidential administration is banning new Chinese humanoid and quadruped robots, plus Chinese-made power inverters that are used in data centers. Unitree, which controls about 20 % of the global humanoid robot market, is one of the companies that could be hit the hardest.

32:58Starting in 2027, Logitech mice sold in Europe will get user-replaceable batteries. This is in compliance with the EU's right to repair rules. The rest of the world, you know, going to keep those sealed off batteries. Sorry, I don't know what to tell you. We didn't complain loudly enough. No. The US complains about lots of other things, though. Google Docs can now turn a document into a custom infographic or a diagram on demand using, you guessed it, Gemini. It's rolling out now on the web for paid workspace and Gemini subscribers. Thank you to RW Nash and the subreddit. It's so prolific, by the way, in the subreddit.

33:38Anthropics' Claude Mythos AI has spotted real weaknesses in two different crypto systems. Did so largely on its own, including a post-quantum scheme called HAWC, where it cut the theoretical attack cost by tens of millions of times. None of it, by the way, touches Bitcoin, Ethereum, or hopefully your wallet. I don't think there's any direct impact to your wallet. Let's hope not. Russia's FSB charged Telegram founder Pavel Durov with aiding terrorism, claiming the app let Ukrainian intelligence and extremist groups coordinate attacks and put out an international arrest warrant for Durov. And finally, XAI is suing Minnesota over its new law banning AI apps that generate fake nude images without consent, calling it unconstitutionally overbroad.

34:32I don't have anything more to say about that. Me either. Other than the sound of my eyes rolling behind my eyelids. We had every episode of DTS with some shared perspectives today. Rob, Bugs Life has a quick clarification on the story of Google storing your login selfies. Yeah, Rob writes in, when talking about Google storing of the login videos, Jason noted Google doesn't have access to this biometric data because it's encrypted at rest. That just means the data on the disk is encrypted in case the disk was stolen. Google stores a decryption key to use the video. Rob says, I think you were thinking of E2EE when Google would not have a key to access videos.

35:14I know it's easy to mix up all the encryption thingies. And Rob finishes with good show and thanks as always. You're right. Got it. Got a little mixed up and confused. So thank you, Rob, for the correction there. Well, you know, we talk about making your voice heard. Keep us honest. Love it. It's the hive mind. We're stronger together. Indeed we are. On that note, what are you thinking about right now? If you have insight into a story, something we talked about, sparked some thoughts in your head, share them with us. Feedback at DailyTechNewsShow.com. Yes, please. Thank you again to Rob Buggs Life for contributing to today's show.

35:54Thanks to you for being along for Daily Tech News Show. You can keep us in business by becoming a patron. And it's really easy. You just go to your web browser and go to patreon.com slash DTNS and support us. We thank you. We'll see you tomorrow.

36:11The DTNS family of podcasts, helping each other understand. Diamond Club hopes you have enjoyed this program.

36:24This episode is brought to you by Capital One. Capital One's tech team isn't just talking about multi-agentic AI. They already deployed one. It's called Chat Concierge and it's simplifying car shopping. Using self-reflection and layered reasoning with live API checks, it doesn't just help buyers find a car they love. It helps schedule a test drive, get pre-approved for financing, and estimate trade-in value. Advanced, intuitive, and deployed. That's how they stack. That's technology at Capital One. Morning Brew Daily breaks down the biggest news in business every morning so it fits seamlessly in your day.

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