Amazon Delivery Drones Involve a Perilous 10-Foot Drop. Users Are Posting the Apparent Results
It seemed like this might have been a rare week without a “robot doing dumb shit” story—but never fear, because Jeff Bezos’s squadron of airborne delivery drones is here to save the day. Prime Air, Amazon’s drone delivery service, has been rolling out in a number of US cities over the last few months and—surprise!—it looks like they kinda suck compared to their human equivalents. (And that’s really saying something considering those human equivalents’ propensity for running up to your front door, whacking a “Sorry we missed you!” sticker right below the note you left saying “BUZZER DOESN’T WORK—PLEASE CALL THIS NUMBER”, and then driving away.)*
Still, whatever else your local Amazon driver might do, one thing they won’t do is casually drop your precious package onto concrete from 10 feet in the air. Amazon’s drones, however…
Several stories videos have surfaced of late, apparently showing Amazon-branded drones hovering above customers’ driveways/stoops/etc and then just dropping their cargo onto the ground below. In one video, YouTuber Tamara Hancock orders a plastic bottle of blue raspberry syrup—which is apparently a substance one can order—and watches as the drone dumps it unceremoniously on her driveway. She opens the package and, sure enough, the video depicts a smashed and leaking screw top.
Given the unholy racket these things make, you can probably hear them approaching a mile off, so perhaps the best course of action is to just run outside and try to catch your package before it smashes into the ground. This isn’t the seamless service Amazon promised, but then again, it’s not all that different from waiting to hear the delivery driver approaching and then booking it outside to grab your package before he gets a chance to whack the dreaded “Sorry we missed you!” sticker on your door. Plus ça change, etc.
Anyway, it’s not easy to see how this issue might be mitigated. The obvious answer is “hover closer to the ground”, but given delivery robots’ record in failing to detect obstacles in their path, it feels like that strategy would eventually result in a headline like “Florida Grandmother Beheaded by Drone As She Tries to Collect Her Order of Trump Memorabilia.”
All jokes aside, the question of how drones actually avoid doing things like beheading grandmothers is, unsurprisingly, controversial. Last week Chad Butler, a former head of information security at Amazon’s commercial drone program, posted a video about the regulatory regime surrounding drones like the ones Amazon use, which are referred to as “beyond visual line of sight”, or BVLOS, drones. As the name suggests, these are drones that are able to fly autonomously beyond the line of sight of a human operator. Without a human directing them, drones need to be able to ensure they don’t fly into a wall.
Butler explains that there are two competing schools of thought about how to do this. The first requires the use of a system called ADS-B, which maintains a consistent broadcast of the drone’s altitude, heading and air speed, creating a sort of virtual environment that lets every drone know where every other drone is. The second, championed by Amazon, is more like the technology used on ground-based robots—it uses onboard “detect and avoid” systems like camera and radar, which allow drones to “see” what’s around them and navigate themselves around obstacles.
Amazon recently left the Commercial Drone Alliance, which advocates for the first system, and Butler actually endorses his former employer’s stance. He argues that if drones are constantly broadcasting an unencrypted record of their position, and they have no independent on-board methods to verify that position, then it becomes pretty easy for hackers to hijack them by simply spoofing a GPS signal. This scenario certainly sounds credible—and, frankly, kinda frightening. (Reassuringly, Butler says, “This is not a drone problem—it’s a design pattern problem, and I see it everywhere in AI and autonomous system design.” So that’s great.)
Having said that, we’ve seen with ground-based robots that the use of on-board sensors alone is also, um, less than perfect—and if navigating a drone in two dimensions is hard, adding a whole other dimension seems to just increase the difficulty and the chance of things going wrong. And on that note, there does seem to be one straightforward way of avoiding the possibility of a hacked delivery drone delivering a bomb to the White House or something, which is just getting rid of the bloody things. However, capitalism will not abide such good sense, so I guess we’ll just see how this whole thing pans out.
*To be clear, we don’t necessarily blame drivers working to insane schedules for doing this; it is frustrating, though.
#Amazon #Delivery #Drones #Involve #Perilous #10Foot #Drop #Users #Posting #Apparent #ResultsAmazon,Prime Air
It seemed like this might have been a rare week without a “robot doing dumb shit” story—but never fear, because Jeff Bezos’s squadron of airborne delivery drones is here to save the day. Prime Air, Amazon’s drone delivery service, has been rolling out in a number of US cities over the last few months and—surprise!—it looks like they kinda suck compared to their human equivalents. (And that’s really saying something considering those human equivalents’ propensity for running up to your front door, whacking a “Sorry we missed you!” sticker right below the note you left saying “BUZZER DOESN’T WORK—PLEASE CALL THIS NUMBER”, and then driving away.)*
Still, whatever else your local Amazon driver might do, one thing they won’t do is casually drop your precious package onto concrete from 10 feet in the air. Amazon’s drones, however…
Several stories videos have surfaced of late, apparently showing Amazon-branded drones hovering above customers’ driveways/stoops/etc and then just dropping their cargo onto the ground below. In one video, YouTuber Tamara Hancock orders a plastic bottle of blue raspberry syrup—which is apparently a substance one can order—and watches as the drone dumps it unceremoniously on her driveway. She opens the package and, sure enough, the video depicts a smashed and leaking screw top.
Given the unholy racket these things make, you can probably hear them approaching a mile off, so perhaps the best course of action is to just run outside and try to catch your package before it smashes into the ground. This isn’t the seamless service Amazon promised, but then again, it’s not all that different from waiting to hear the delivery driver approaching and then booking it outside to grab your package before he gets a chance to whack the dreaded “Sorry we missed you!” sticker on your door. Plus ça change, etc.
Anyway, it’s not easy to see how this issue might be mitigated. The obvious answer is “hover closer to the ground”, but given delivery robots’ record in failing to detect obstacles in their path, it feels like that strategy would eventually result in a headline like “Florida Grandmother Beheaded by Drone As She Tries to Collect Her Order of Trump Memorabilia.”
All jokes aside, the question of how drones actually avoid doing things like beheading grandmothers is, unsurprisingly, controversial. Last week Chad Butler, a former head of information security at Amazon’s commercial drone program, posted a video about the regulatory regime surrounding drones like the ones Amazon use, which are referred to as “beyond visual line of sight”, or BVLOS, drones. As the name suggests, these are drones that are able to fly autonomously beyond the line of sight of a human operator. Without a human directing them, drones need to be able to ensure they don’t fly into a wall.
Butler explains that there are two competing schools of thought about how to do this. The first requires the use of a system called ADS-B, which maintains a consistent broadcast of the drone’s altitude, heading and air speed, creating a sort of virtual environment that lets every drone know where every other drone is. The second, championed by Amazon, is more like the technology used on ground-based robots—it uses onboard “detect and avoid” systems like camera and radar, which allow drones to “see” what’s around them and navigate themselves around obstacles.
Amazon recently left the Commercial Drone Alliance, which advocates for the first system, and Butler actually endorses his former employer’s stance. He argues that if drones are constantly broadcasting an unencrypted record of their position, and they have no independent on-board methods to verify that position, then it becomes pretty easy for hackers to hijack them by simply spoofing a GPS signal. This scenario certainly sounds credible—and, frankly, kinda frightening. (Reassuringly, Butler says, “This is not a drone problem—it’s a design pattern problem, and I see it everywhere in AI and autonomous system design.” So that’s great.)
Having said that, we’ve seen with ground-based robots that the use of on-board sensors alone is also, um, less than perfect—and if navigating a drone in two dimensions is hard, adding a whole other dimension seems to just increase the difficulty and the chance of things going wrong. And on that note, there does seem to be one straightforward way of avoiding the possibility of a hacked delivery drone delivering a bomb to the White House or something, which is just getting rid of the bloody things. However, capitalism will not abide such good sense, so I guess we’ll just see how this whole thing pans out.
*To be clear, we don’t necessarily blame drivers working to insane schedules for doing this; it is frustrating, though.
![This former notorious red-light district is now one of the world’s top AI hubs | TechCrunch
What every U.K. AI startup wants to know these days is, how can I get office space in King’s Cross?
The area is so hot that a VC firm allegedly recently won a deal by promising a founder office space in the neighborhood. “We stop at nothing to win deals [for] and to support” founders, “including helping them source office space when needed,” the firm told me when asked about the rumor, declining to confirm or deny any details.
The neighborhood’s popularity began back in 2016 when DeepMind — then newly acquired by Google — moved in. Soon after, a flood of AI startups followed, wanting to be around the Google DeepMind magic. Today, they hope to take advantage of the cluster of AI talent there.
This has transformed King’s Cross into one of the world’s top AI hubs, rivaled only by San Francisco and Beijing. Around London, it’s known by the sobriquet “Knowledge Quarter,” as it’s home to names like OpenAI, Meta, Isomorphic Labs, Cusp AI, Wayne, Recursive, and, a little farther down the road, Synthesia and Anthropic. The European Technology Network (ETN) just moved into a glossy new office nearby, while University College London sits around the corner.
Mixed in with the new developments are trendy food spots like Hoppers and BAO. Hop a train from King’s Cross, and founders can be in Cambridge in 45 minutes to source talent or can be in Paris in two hours to strike a deal.
Who would have guessed that a little more than 20 years ago, this was one of the seediest areas in London?
“In the ’80s, crack and heroin made the area a major narcotics market,” Hussein Kanji, an investor at Hoxton Ventures, said, recalling syringes in tree trunks and gangs patrolling the streets. “In 1982, the local church was occupied by the English Collective of Prostitutes for 12 straight days.” Then, in the early 2000s, a real estate developer had a dream and, well, “now it is the AI hotbed of the United Kingdom,” Kanji said. “What a change.” Around 18 months ago, his portfolio company BioCorteX moved from the neighborhood Holborn to the Jellicoe building in King’s Cross, hoping to be near the action. “Lots going on in London right now,” Nik Sharma, co-founder of BioCorteX, told me. “Lots of hyperscalers moving in.” That includes, reportedly, Jeff Bezos’ AI company Prometheus, which is also said to be in talks to move into the Jellicoe.
There are around 3,600 AI startups in London, which, together, have raised around .1 billion out of the .8 billion raised in the city since late July, according to Dealroom. Since the start of June, AI-related startups have leased more than 1 million square feet of office space in London, according to the real estate firm Knight Frank. With that, prime rents in King’s Cross have risen 18% over the past three years, Chris Dunn, a commercial insight associate at the firm, told me. That percentage represents only the largest leases encompassing at least 10,000 square feet, like the ones OpenAI and Prometheus are signing. The shorter deals go for even more, he said, and now the vacancy rate for conventional office space is just 0.9%. “Demand has outstripped supply,” he continued.
Today, one of the big topics of the area is sovereignty. It was a wake-up call for many when Anthropic shut off access to Mythos and Fable this summer, leaving some in the ecosystem to conclude: “We’d better look after ourselves,” Saul Klein, co-founder of the VC firm Phoenix Court, told me.
Phoenix Court is located in the King’s Cross area and has three portfolio companies in the vicinity, including Olix (which just announced a .3 billion valuation), Early Health and CoMind. Robin Klein, co-founder of the firm, said the shutdown of Fable and Mythos access was a “small but sharp reminder that Europe can’t simply rent its AI capabilities and capacity; it needs to build and hold some of its own.” King’s Cross, he said, is where much of this building is actually happening.
“The bigger question,” he continued, “is whether the U.K. builds the infrastructure, compute, energy, capital, to make this self-reliance durable, rather than just hosting outposts of U.S. labs.”
Image Credits:Phoenix Court
Top founders want to stay
Simon Kohl, founder of Latent Labs, has offices in King’s Cross and San Francisco. The London office, at the moment, is growing faster, and he’s more bullish than ever on the ecosystem, he said. “The mood right now feels less like London trying to catch up and more like London becoming one of the default places to start a serious AI company,” he said. Look around and you are likely to see Wayve testing its autonomous cars. Founded in 2017 by co-founder Alex Kendall, the unicorn is one of London’s biggest success stories.
“Ten years ago, building a frontier AI company from London felt like an unusual choice,” Kendall told me. “Now it feels like an obvious one.” Wayve moved into King’s Cross in 2018 looking for a space that could double as a garage — “a rare combination in Central London,” Kendall said. He has watched the ecosystem mature around him — and it’s now evident that a startup can stay in London, raise serious capital, hire world-class AI talent, and remain globally competitive, he said. Down the street from Anthropic’s new 158,000-square-foot office is the AI agent builder Sierra and the AI video platform Synthesia.
Laura Gonzalez Florez, Synthesia’s chief of staff and head of people, says the company moved into its glossy new office building a year ago to accommodate its growing team. They were drawn to the area for the same reason as everyone else: “It’s very close to the airport … very close to where a lot of investors are,” she said.
Image Credits:Synthesia
Around two-thirds of Synthesia’s engineers are remote, Gonzalez Florez said, letting the company tap into an affordable, international, and diverse talent pool and helping it scale faster. “From London, we can hire and work, without any problem, people from anywhere, from Slovenia to Portugal,” she said.
Unsurprisingly, London’s AI boom is also causing a talent war.U.K. AI job postings have skyrocketed in the past few years, per data from PwC. When Anthropic announced it moved into town earlier this year, it listed, for example, a salary range of £260,000 to £630,000 for a machine learning research engineer when the average salary in London for the same role is around £102,000. Some founders in the U.K., like those in Silicon Valley, are being forced to raise more and bigger rounds to keep up.
“The real test is whether more globally significant AI companies are founded, funded, and scaled from the U.K., while continuing to attract the world’s best talent to build them here,” Zain Ali, founder of the King’s Cross-based AI legal firm Centuro, told me. “If that continues to happen, King’s Cross won’t just be an AI hub. It’ll become one of the U.K.’s most important strategic assets.”
When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.#Thisformernotorious #redlight #districtis #nowone #worlds #top #hubs #TechCrunchUK This former notorious red-light district is now one of the world’s top AI hubs | TechCrunch
What every U.K. AI startup wants to know these days is, how can I get office space in King’s Cross?
The area is so hot that a VC firm allegedly recently won a deal by promising a founder office space in the neighborhood. “We stop at nothing to win deals [for] and to support” founders, “including helping them source office space when needed,” the firm told me when asked about the rumor, declining to confirm or deny any details.
The neighborhood’s popularity began back in 2016 when DeepMind — then newly acquired by Google — moved in. Soon after, a flood of AI startups followed, wanting to be around the Google DeepMind magic. Today, they hope to take advantage of the cluster of AI talent there.
This has transformed King’s Cross into one of the world’s top AI hubs, rivaled only by San Francisco and Beijing. Around London, it’s known by the sobriquet “Knowledge Quarter,” as it’s home to names like OpenAI, Meta, Isomorphic Labs, Cusp AI, Wayne, Recursive, and, a little farther down the road, Synthesia and Anthropic. The European Technology Network (ETN) just moved into a glossy new office nearby, while University College London sits around the corner.
Mixed in with the new developments are trendy food spots like Hoppers and BAO. Hop a train from King’s Cross, and founders can be in Cambridge in 45 minutes to source talent or can be in Paris in two hours to strike a deal.
Who would have guessed that a little more than 20 years ago, this was one of the seediest areas in London?
“In the ’80s, crack and heroin made the area a major narcotics market,” Hussein Kanji, an investor at Hoxton Ventures, said, recalling syringes in tree trunks and gangs patrolling the streets. “In 1982, the local church was occupied by the English Collective of Prostitutes for 12 straight days.” Then, in the early 2000s, a real estate developer had a dream and, well, “now it is the AI hotbed of the United Kingdom,” Kanji said. “What a change.” Around 18 months ago, his portfolio company BioCorteX moved from the neighborhood Holborn to the Jellicoe building in King’s Cross, hoping to be near the action. “Lots going on in London right now,” Nik Sharma, co-founder of BioCorteX, told me. “Lots of hyperscalers moving in.” That includes, reportedly, Jeff Bezos’ AI company Prometheus, which is also said to be in talks to move into the Jellicoe.
There are around 3,600 AI startups in London, which, together, have raised around .1 billion out of the .8 billion raised in the city since late July, according to Dealroom. Since the start of June, AI-related startups have leased more than 1 million square feet of office space in London, according to the real estate firm Knight Frank. With that, prime rents in King’s Cross have risen 18% over the past three years, Chris Dunn, a commercial insight associate at the firm, told me. That percentage represents only the largest leases encompassing at least 10,000 square feet, like the ones OpenAI and Prometheus are signing. The shorter deals go for even more, he said, and now the vacancy rate for conventional office space is just 0.9%. “Demand has outstripped supply,” he continued.
Today, one of the big topics of the area is sovereignty. It was a wake-up call for many when Anthropic shut off access to Mythos and Fable this summer, leaving some in the ecosystem to conclude: “We’d better look after ourselves,” Saul Klein, co-founder of the VC firm Phoenix Court, told me.
Phoenix Court is located in the King’s Cross area and has three portfolio companies in the vicinity, including Olix (which just announced a .3 billion valuation), Early Health and CoMind. Robin Klein, co-founder of the firm, said the shutdown of Fable and Mythos access was a “small but sharp reminder that Europe can’t simply rent its AI capabilities and capacity; it needs to build and hold some of its own.” King’s Cross, he said, is where much of this building is actually happening.
“The bigger question,” he continued, “is whether the U.K. builds the infrastructure, compute, energy, capital, to make this self-reliance durable, rather than just hosting outposts of U.S. labs.”
Image Credits:Phoenix Court
Top founders want to stay
Simon Kohl, founder of Latent Labs, has offices in King’s Cross and San Francisco. The London office, at the moment, is growing faster, and he’s more bullish than ever on the ecosystem, he said. “The mood right now feels less like London trying to catch up and more like London becoming one of the default places to start a serious AI company,” he said. Look around and you are likely to see Wayve testing its autonomous cars. Founded in 2017 by co-founder Alex Kendall, the unicorn is one of London’s biggest success stories.
“Ten years ago, building a frontier AI company from London felt like an unusual choice,” Kendall told me. “Now it feels like an obvious one.” Wayve moved into King’s Cross in 2018 looking for a space that could double as a garage — “a rare combination in Central London,” Kendall said. He has watched the ecosystem mature around him — and it’s now evident that a startup can stay in London, raise serious capital, hire world-class AI talent, and remain globally competitive, he said. Down the street from Anthropic’s new 158,000-square-foot office is the AI agent builder Sierra and the AI video platform Synthesia.
Laura Gonzalez Florez, Synthesia’s chief of staff and head of people, says the company moved into its glossy new office building a year ago to accommodate its growing team. They were drawn to the area for the same reason as everyone else: “It’s very close to the airport … very close to where a lot of investors are,” she said.
Image Credits:Synthesia
Around two-thirds of Synthesia’s engineers are remote, Gonzalez Florez said, letting the company tap into an affordable, international, and diverse talent pool and helping it scale faster. “From London, we can hire and work, without any problem, people from anywhere, from Slovenia to Portugal,” she said.
Unsurprisingly, London’s AI boom is also causing a talent war.U.K. AI job postings have skyrocketed in the past few years, per data from PwC. When Anthropic announced it moved into town earlier this year, it listed, for example, a salary range of £260,000 to £630,000 for a machine learning research engineer when the average salary in London for the same role is around £102,000. Some founders in the U.K., like those in Silicon Valley, are being forced to raise more and bigger rounds to keep up.
“The real test is whether more globally significant AI companies are founded, funded, and scaled from the U.K., while continuing to attract the world’s best talent to build them here,” Zain Ali, founder of the King’s Cross-based AI legal firm Centuro, told me. “If that continues to happen, King’s Cross won’t just be an AI hub. It’ll become one of the U.K.’s most important strategic assets.”
When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.#Thisformernotorious #redlight #districtis #nowone #worlds #top #hubs #TechCrunchUK](https://techcrunch.com/wp-content/uploads/2026/08/DM9A2852.jpg?w=680)

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