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US agriculture industry tests artificial intelligence: 'A lot of potential'

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US agriculture industry tests artificial intelligence: 'A lot of potential'

In the 1930s, there were around 6.8 million farms in the United States. The size averaged at around 155 acres. Over the next several decades, the number of farms rapidly declined to around 1.9 million in 2023. Those farms grew larger, averaging around 464 acres.

As farming has changed over time, experts believe artificial intelligence (AI) can help farmers and producers make food faster and more efficiently.

FARMERS ‘BRUTALIZED’ AS COSTS ‘GO THROUGH THE ROOF’ IN LAST DAYS OF BIDEN’S AMERICA

“I think there’s a lot of potential for both increasing productivity on the crop side, but also for reducing the amount of resources that we use on the productivity side. There’s the data that we can actually collect to increase yields and improve the nutritional quality. But then there’s also the facilitate facilitating of reductions in labor availability,” said Mason Earles, an assistant professor at UC Davis in the departments of Viticulture & Enology and Biological & Agricultural Engineering and researcher at the AI Institute for Next Generation Food Systems or AIFS.

In the 1930s, there were around 6.8 million farms in the United States. In 2023, the number of farms declined to around 1.9 million. (AI Institute For Next Generation Food Systems)

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The most recent data shows 41% of farmers reported labor shortages in 2018. That’s a 27% increase from those reporting shortages in 2014. The trend is expected to continue. The Bureau of Labor Statistics projects a 2% decline in workers through 2033 despite the number of job openings remaining the same.

“We do more with less. It’s not that it has no set way and has totally changed the traditional work, it is empowering, and it is increasing the productivity of existing workers,” said Ilias Tagkopoulos, a computer science professor at UC Davis and the director of AIFS.

AIFS is funded through a grant from the USDA Institute of Food and Agriculture. It is part of USDA’s effort to conduct more research on utilizing Artificial Intelligence in agriculture.

RURAL AMERICANS ARE MAD – AND THEY GAVE DEMOCRATS A RECKONING

“One of the big things that I specifically focus on, and we work at the Institute for Food Systems is trying to say, how can I make an impact in agriculture and food systems across the board? Whether that has to do with production of different types of vegetables, fruits, nuts, other types of meats or other types of foods,” Earles said. “There’s a lot of potential, we think, all the way from going from the research and lab side through startups, through corporate innovation. And we’re here to kind of find a way to facilitate and integrate that along the way.”

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A USDA study shows just 27% of farmers are using emerging technologies like Artificial Intelligence. Investment is expected to grow across the industry from more than $2 billion this year to more than $5 in 2028.

A USDA study shows just 27% of farmers are using emerging technologies like artificial intelligence.  (AI Institute For Next Generation Food Systems)

“What our vision is, is how can we have a healthier society and a more sustainable planet? Our mission is to leverage AI to build that, to help towards that goal,” Tagkopoulos said. “AI is doing two things. One is making businesses more productive. And the second is to accelerate innovation. It accelerates innovation by actually focusing on what matters versus what’s out there.”

Researchers are looking into how AI hardware like sensors or robotics can better gather data in the field.

“One of the powers of AI is that it can process a massive amount of data in a very short amount of time and achieve really high performance in pattern recognition,” Earles said.

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The technology can help farmers decide where to apply fertilizer and when the best opportunities for harvest might be.

AI BEING USED TO RUN WORLD’S FIRST INDOOR VERTICAL BERRY FARM

“There’s great examples out there of being able to process millions of images within the course of every hour to identify where there might be damage due to weeds, presence of weeds or disease or pest, and be able to use various types of either implements to precisely remove those weeds or pests so that the farmer see higher yields. And the consumer sees better fruit, veggies and other products that are coming out of those fields,” Earles said.

One USDA project at the University of Arkansas is looking at using virtual reality to process poultry. Researchers will study whether robots can be used in the field while workers control the devices virtually. While fewer workers are expected to be needed, the cost of the equipment is high.

Researchers are looking into how AI hardware like sensors or robotics can better gather data in the field of farming. (AI Institute For Next Generation Food Systems)

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“The question there is how can you make this technology even more cost-effective and the even more practical, which is always a challenge,” Tagkopoulos said.

Controlled environments or indoor farming also see high upfront costs. But some studies have shown that higher crop yields are possible because of fewer weather-related challenges and the ability to grow year-round.

“We see in the future more data being generated, more tools becoming available, easier, much less expensive in terms of AI tools to be able to give recommendations on when to irrigate, when to farm, where to sell. A lot of more collaboration among farmers because now they understand more that they need to share their data. And it’s not about competition. It’s about everybody winning out of it,” Tagkopoulos said.

Controlled environments have received a lot of funding in the past few years. The USDA recently broke ground on a project at Cornell University to research grapes. The National Grape Improvement Center will help scientists study climate adaptable grape varieties and management strategies for growers.

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“The opportunity to grow fruits and veggies and other types of crops where they may not otherwise be able to grow has huge potential for delivering all sorts of foods, fresh foods and nutritious foods to urban and or other areas,” Earles said. “AI has the real potential to help us understand how to regulate those types of indoor climates so that it can optimize the output.”

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The DJI Romo robovac had security so poor, this man remotely accessed thousands of them

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The DJI Romo robovac had security so poor, this man remotely accessed thousands of them

Sammy Azdoufal claims he wasn’t trying to hack every robot vacuum in the world. He just wanted to remote control his brand-new DJI Romo vacuum with a PS5 gamepad, he tells The Verge, because it sounded fun.

But when his homegrown remote control app started talking to DJI’s servers, it wasn’t just one vacuum cleaner that replied. Roughly 7,000 of them, all around the world, began treating Azdoufal like their boss.

He could remotely control them, and look and listen through their live camera feeds, he tells me, saying he tested that out with a friend. He could watch them map out each room of a house, generating a complete 2D floor plan. He could use any robot’s IP address to find its rough location.

“I found my device was just one in an ocean of devices,” he says.

A map like the one I saw, with robots and packets trickling in.
Image: Gonzague Dambricourt
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On Tuesday, when he showed me his level of access in a live demo, I couldn’t believe my eyes. Ten, hundreds, thousands of robots reporting for duty, each phoning home MQTT data packets every three seconds to say: their serial number, which rooms they’re cleaning, what they’ve seen, how far they’ve traveled, when they’re returning to the charger, and the obstacles they encountered along the way.

I watched each of these robots slowly pop into existence on a map of the world. Nine minutes after we began, Azdoufal’s laptop had already cataloged 6,700 DJI devices across 24 different countries and collected over 100,000 of their messages. If you add the company’s DJI Power portable power stations, which also phone home to these same servers, Azdoufal had access to over 10,000 devices.

Azdoufal says he could remote-control robovacs and view live video over the internet.

Azdoufal says he could remote-control robovacs and view live video over the internet.

When I say I couldn’t believe my eyes at first, I mean that literally. Azdoufal leads AI strategy at a vacation rental home company; when he told me he reverse engineered DJI’s protocols using Claude Code, I had to wonder whether AI was hallucinating these robots. So I asked my colleague Thomas Ricker, who just finished reviewing the DJI Romo, to pass us its serial number.

With nothing more than that 14-digit number, Azdoufal could not only pull up our robot, he could correctly see it was cleaning the living room and had 80 percent battery life remaining. Within minutes, I watched the robot generate and transmit an accurate floor plan of my colleague’s house, with the correct shape and size of each room, just by typing some digits into a laptop located in a different country.

Here are two maps of Thomas’ living space. Above is what we pulled from DJI’s servers without authentication; below is what the owner sees on their own phone.
Screenshots by The Verge

Here’s a fuller floor plan from Gonzague Dambricourt, who tried out a read-only version of Azdoufal’s tool.
Image: Gonzague Dambricourt (X)

Separately, Azdoufal pulled up his own DJI Romo’s live video feed, completely bypassing its security PIN, then walked into his living room and waved to the camera while I watched. He also says he shared a limited read-only version of his app with Gonzague Dambricourt, CTO at an IT consulting firm in France; Dambricourt tells me the app let him remotely watch his own DJI Romo’s camera feed before he even paired it.

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Azdoufal was able to enable all of this without hacking into DJI’s servers, he claims. “I didn’t infringe any rules, I didn’t bypass, I didn’t crack, brute force, whatever.” He says he simply extracted his own DJI Romo’s private token — the key that tells DJI’s servers that you should have access to your own data — and those servers gave him the data of thousands of other people as well. He shows me that he can access DJI’s pre-production server, as well as the live servers for the US, China, and the EU.

DJI has MQTT servers associated with the US, EU, and China. I’m not sure what VG stands for.

DJI has MQTT servers associated with the US, EU, and China. I’m not sure what VG stands for.
Screenshot by Sean Hollister / The Verge

Here’s the good news: On Tuesday, Azdoufal was not able to take our DJI Romo on a joyride through my colleague’s house, see through its camera, or listen through its microphone. DJI had already restricted that form of access after both Azdoufal and I told the company about the vulnerabilities.

And by Wednesday morning, Azdoufal’s scanner no longer had access to any robots, not even his own. It appears that DJI has plugged the gaping hole.

But this incident raises serious questions about DJI’s security and data practices. It will no doubt be used to help retroactively justify fears that led to the Chinese dronemaker getting largely forced out of the US. If Azdoufal could find these robots without even looking for them, will it protect them against people with intent to do harm? If Claude Code can spit out an app that lets you see into someone’s house, what keeps a DJI employee from doing so? And should a robot vacuum cleaner have a microphone? “It’s so weird to have a microphone on a freaking vacuum,” says Azdoufal.

It doesn’t help that when Azdoufal and The Verge contacted DJI about the issue, the company claimed it had fixed the vulnerability when it was actually only partially resolved.

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“DJI can confirm the issue was resolved last week and remediation was already underway prior to public disclosure,” reads part of the original statement provided by DJI spokesperson Daisy Kong. We received that statement on Tuesday morning at 12:28PM ET — about half an hour before Azdoufal showed me thousands of robots, including our review unit, reporting for duty.

Not just robovacs — DJI’s power stations also use this system.

Not just robovacs — DJI’s power stations also use this system.
Screenshot by Sean Hollister / The Verge

To be clear, it’s not surprising that a robot vacuum cleaner with a smartphone app would phone home to the cloud. For better or for worse, users currently expect those apps to work outside of their own homes. Unless you’ve built a tunnel into your own home network, that means relaying the data through cloud servers first.

But people who put a camera into their home expect that data to be protected, both in transit and once it reaches the server. Security professionals should know that — but as soon as Azdoufal connected to DJI’s MQTT servers, everything was visible in cleartext. If DJI has merely cut off one particular way into those servers, that may not be enough to protect them if hackers find another way in.

Unfortunately, DJI is far from the only smart home company that’s let people down on security. Hackers took over Ecovacs robot vacuums to chase pets and yell racist slurs in 2024. In 2025, South Korean government agencies reported that Dreame’s X50 Ultra had a flaw that could let hackers view its camera feed in real time, and that another Ecovacs and a Narwal robovac could let hackers view and steal photos from the devices. (Korea’s own Samsung and LG vacuums received high marks, and a Roborock did fine.)

It’s not just vacuums, of course. I still won’t buy a Wyze camera, despite its new security ideas, because that company tried to sweep a remote access vulnerability under the rug instead of warning its customers. I would find it hard to trust Anker’s Eufy after it lied to us about its security, too. But Anker came clean, and sunlight is a good disinfectant.

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DJI is not being exceptionally transparent about what happened here, but it did answer almost all our questions. In a new statement to The Verge via spokesperson Daisy Kong, the company now admits “a backend permission validation issue” that could have theoretically let hackers see live video from its vacuums, and it admits that it didn’t fully patch that issue until after we confirmed that issues were still present.

Here’s that whole statement:

DJI identified a vulnerability affecting DJI Home through internal review in late January and initiated remediation immediately. The issue was addressed through two updates, with an initial patch deployed on February 8 and a follow-up update completed on February 10. The fix was deployed automatically, and no user action is required.

The vulnerability involved a backend permission validation issue affecting MQTT-based communication between the device and the server. While this issue created a theoretical potential for unauthorized access to live video of ROMO device, our investigation confirms that actual occurrences were extremely rare. Nearly all identified activity was linked to independent security researchers testing their own devices for reporting purposes, with only a handful of potential exceptions.

The first patch addressed this vulnerability but had not been applied universally across all service nodes. The second patch re-enabled and restarted the remaining service nodes. This has now been fully resolved, and there is no evidence of broader impact. This was not a transmission encryption issue. ROMO device-to-server communication was not transmitted in cleartext and has always been encrypted using TLS. Data associated with ROMO devices, such as those in Europe, is stored on U.S.-based AWS cloud infrastructure.

DJI maintains strong standards for data privacy and security and has established processes for identifying and addressing potential vulnerabilities. The company has invested in industry-standard encryption and operates a longstanding bug bounty program. We have reviewed the findings and recommendations shared by the independent security researchers who contacted us through that program as part of our standard post-remediation process. DJI will continue to implement additional security enhancements as part of its ongoing efforts.

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Azdoufal says that even now, DJI hasn’t fixed all the vulnerabilities he’s found. One of them is the ability to view your own DJI Romo video stream without needing its security pin. Another one is so bad I won’t describe it until DJI has more time to fix it. DJI did not immediately promise to do so.

And both Azdoufal and security researcher Kevin Finisterre tell me it’s not enough for the Romo to send encrypted data to a US server, if anyone inside that server can easily read it afterward. “A server being based in the US in no way, shape, or form prevents .cn DJI employees from access,” Finisterre tells me. That seems evident, as Azdoufal lives in Barcelona and was able to see devices in entirely different regions.

“Once you’re an authenticated client on the MQTT broker, if there are no proper topic-level access controls (ACLs), you can subscribe to wildcard topics (e.g., #) and see all messages from all devices in plaintext at the application layer,” says Azdoufal. “TLS does nothing to prevent this — it only protects the pipe, not what’s inside the pipe from other authorized participants.”

When I tell Azdoufal that some may judge him for not giving DJI much time to resolve the issues before going public, he notes that he didn’t hack anything, didn’t expose sensitive data, and isn’t a security professional. He says he was simply livetweeting everything that happened while trying to control his robot with a PS5 gamepad.

“Yes, I don’t follow the rules, but people stick to the bug bounty program for money. I fucking don’t care, I just want this fixed,” he says. “Following the rules to the end would probably make this breach happen for a way longer time, I think.”

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He doesn’t believe that DJI truly discovered these issues by itself back in January, and he’s annoyed the company only ever responded to him robotically in DMs on X, instead of answering his emails.

But he is happy about one thing: He can indeed control his Romo with a PlayStation or Xbox gamepad.

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World’s fastest humanoid robot runs 22 MPH

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World’s fastest humanoid robot runs 22 MPH

NEWYou can now listen to Fox News articles!

A full-size humanoid robot just ran faster than most people will ever sprint. 

Chinese robotics firm MirrorMe Technology has unveiled Bolt, a humanoid robot that reached a top speed of 22 miles per hour during real-world testing. This was not CGI or a computer simulation. The footage, shared by the company on X, shows a real humanoid robot running at full speed inside a controlled testing facility.

That milestone makes Bolt the fastest running humanoid robot of its size ever demonstrated outside computer simulations. For robotics, this is a line-crossing moment.

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WARM-SKINNED AI ROBOT WITH CAMERA EYES IS SERIOUSLY CREEPY

MirrorMe Technology’s humanoid robot Bolt reaches 22 mph during a real-world sprint test inside a controlled facility. (Zhang Xiangyi/China News Service/VCG via Getty Images)

What allows the world’s fastest humanoid robot to run at 22 mph

In the promotional video, the run is shown using a split-screen view. On one side of the screen, Wang Hongtao, the founder of MirrorMe Technology, runs on a treadmill. On the other side, Bolt runs under the same conditions. The comparison makes the difference clear. As the pace increases, Wang struggles to keep up and eventually gives up, while Bolt continues running smoothly, maintaining balance as its stride rate increases.

Bolt takes shorter strides than a human runner but makes up for it with a much faster stride rhythm. That faster rhythm helps the robot stay stable as it accelerates. Engineers say this performance reflects major progress in humanoid locomotion control, dynamic balance and high-performance drive systems. Speed is impressive. Speed with control is the real achievement.

The humanoid robot design choices behind Bolt’s speed

Bolt stands about 5 feet, 7 inches tall and weighs roughly 165 pounds, putting it close to the size and mass of an average adult human. MirrorMe says that similarity is intentional. The company describes this as the ideal humanoid form. 

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Rather than oversized limbs or exaggerated mechanics, Bolt relies on newly designed joints paired with a fully optimized power system. The goal is to replicate natural human motion while staying stable at extreme speeds. That combination is what sets Bolt apart.

HUMANOID ROBOTS ARE GETTING SMALLER, SAFER AND CLOSER

MirrorMe says Bolt’s 22 mph run highlights stability and control, not just raw speed. ( Cui Jun/Beijing Youth Daily/VCG via Getty Images)

Why Bolt’s sprint reflects years of robotics development

Bolt did not appear overnight. MirrorMe has focused on robotic speed as a long-term priority since 2016. Last year, its Black Panther II robot stunned viewers by sprinting 328 feet in 13.17 seconds during a live television broadcast in China. Reports suggested the performance exceeded comparable tests involving Boston Dynamics machines. 

In 2025, the company also set a record with a four-legged robot that surpassed 22 mph, reinforcing its focus on acceleration, agility and sustained high-speed motion. China’s interest in robotic athletics continues to grow. Beijing even hosted the first World Humanoid Robot Games, where humanoid robots competed in sprint races on a track.

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Why MirrorMe says speed is not the end goal

Running at 22 mph grabs attention, but MirrorMe says speed alone is not the point. The engineers behind Bolt care more about what happens at that speed. Balance, reaction time and control matter more than a headline number. Those skills are what let a humanoid robot move like a trained runner instead of a machine on the verge of tipping over.

That is where the athlete angle comes in. MirrorMe envisions Bolt as a training partner that can run alongside elite athletes, hold a steady pace and push limits without getting tired. By matching and slightly exceeding human performance, the robot could help runners fine-tune form, pacing and endurance while collecting precise motion data. In that context, the sprint is not a stunt. It shows how humanoid robots could move beyond demos and into real training and performance settings.

What this means to you

Humanoid robots that can run at highway speeds are no longer something you only see in demos or concept videos. As these machines get faster and more stable, they start to fit into real-world roles. That includes athletic training, emergency response and physically demanding jobs where speed and endurance make a real difference. At the same time, faster robots bring real concerns. Safety, oversight and clear rules matter even more when machines can move this quickly around people. When robots run this fast, the limits need to be clear.

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HUMANOID ROBOT MAKES ARCHITECTURAL HISTORY BY DESIGNING A BUILDING

Engineers say Bolt’s high-speed sprint reflects advances in locomotion control, balance and drive systems. (Photo by Kevin Frayer/Getty Images)

Kurt’s key takeaways

Bolt running at 22 mph is eye-catching, but the speed is not the main takeaway. What matters is what it shows. Robots are starting to move more like people. They can run, adjust and stay upright at speeds that used to knock machines over. That opens the door to real uses, but it also raises real questions. How fast is too fast around people? Who sets the rules? And who is responsible when something goes wrong? The technology is moving quickly. The conversation around it needs to move just as fast.

If humanoid robots can soon outrun and outtrain humans, where should limits be set on how and where they are allowed to operate? Let us know by writing to us at Cyberguy.com.

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4chan’s creator says ‘Epstein had nothing to do’ with creating infamous far-right board /pol/

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4chan’s creator says ‘Epstein had nothing to do’ with creating infamous far-right board /pol/

Epstein had nothing to do with the reintroduction of a politics board to 4chan, nor anything else related to the site. The decision to add the board was made weeks beforehand, and the board was added almost 24 hours prior to a first, chance encounter at a social event. His assistant reached out to me afterward, and I met with him one time for an unmemorable lunch meeting. This happened at a time when I was meeting hundreds of people a month while speaking and networking at tech events.

I did not meet him again nor maintain contact. I regret having ever encountered him at all, and have deep sympathy for all of his victims.

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