Technology
Amazon shelves Blue Jay warehouse robot
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Amazon made a lot of noise in October when it unveiled Blue Jay, a multi-armed warehouse robot built to speed up same-day deliveries. Just months later, the company quietly ended the program.
The robot’s core technology will live on in other projects. Still, Blue Jay itself is done.
That sudden shift raises an important question. If one of the world’s most advanced logistics companies cannot make a high-profile robot work at scale, what does that say about the future of artificial intelligence (AI) in the real world?
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Blue Jay was designed as a ceiling-mounted robot that could sort and handle multiple packages at once to speed up same-day delivery. (Amazon)
What Blue Jay was supposed to do
Blue Jay was not a simple conveyor belt upgrade. It was a ceiling-mounted system designed to recognize and sort multiple packages at once. Using AI-powered perception models, the robot could:
- Identify packages in motion
- Coordinate several arms at the same time
- Manipulate items with speed and precision
Amazon said it developed the system in under a year. That pace alone was impressive. The goal was clear: move more packages faster while reducing strain on workers in same-day fulfillment centers. On paper, that sounds like a win for everyone.
Why Blue Jay ran into trouble
Despite the hype, Blue Jay faced steep engineering and cost challenges. First, the robot was mounted to the ceiling. That design required complex installation and tight integration into Amazon’s Local Vending Machine warehouses. Those facilities operate as massive, single structures with automation baked into the building itself.
There was little room to reconfigure hardware once installed. That rigidity likely became a liability. In software, AI can pivot overnight with a code update. In the physical world, changing course means retooling steel beams, motors and entire layouts. That takes time and serious money. Several employees who worked on Blue Jay have already moved to other robotics projects.
The company reportedly continues to experiment and improve its warehouse systems. The technology behind Blue Jay will, in fact, inform future designs. In other words, the robot failed. The ideas did not.
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Engineering complexity and high installation costs limited how easily Blue Jay could scale inside Amazon’s tightly integrated warehouse system. (Amazon)
From LVM to Orbital: A strategic shift
Amazon’s next move centers on a new warehouse architecture called Orbital. Unlike the older Local Vending Machine model, Orbital is modular. It can be built from smaller units and deployed faster in different layouts.
That flexibility matters. Retail is fragmenting. Customers expect same-day delivery from urban hubs, local stores and even grocery locations. Orbital could allow Amazon to place micro-fulfillment centers behind retail stores, including Whole Foods locations. That would help it compete more directly with Walmart, which already has a strong grocery footprint.
Alongside Orbital, Amazon is developing a new robotics system called Flex Cell. Unlike Blue Jay’s ceiling mount, Flex Cell is expected to sit on the floor.
That small design change signals something bigger. Amazon appears to be moving from massive centralized automation to smaller, adaptable systems built for the unpredictable realities of local retail.
What this means for your deliveries
If you order from Amazon regularly, you might wonder whether this affects you. In the short term, probably not. Your packages will still show up. Same-day and next-day delivery remain core priorities. However, the long-term story is more interesting. Amazon’s robotics strategy shapes how fast your order arrives, how much you pay and how local warehouses operate in your community.
If Orbital works, you could see:
- Faster delivery from smaller neighborhood hubs
- Better handling of chilled and perishable items
- More automation in retail backrooms
If it struggles, same-day expansion could slow or become more expensive. That tension reflects a broader truth about AI. Writing code is one thing. Teaching a robot to lift boxes in a real warehouse without breaking down is another.
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After only a few months, Amazon discontinued the Blue Jay program while continuing to reuse parts of its underlying robotics technology. (Amazon)
The gap between AI hype and hardware reality
Blue Jay highlights a growing divide in the tech world. AI in software is moving at lightning speed. Chatbots, image tools and predictive systems evolve weekly.
Hardware is different. Robots must deal with gravity, friction, heat and unpredictable human environments. Every mistake has a physical cost.
Amazon’s course correction shows that even tech giants hit limits when translating AI breakthroughs into moving metal. That does not mean automation is slowing down. It means the path is bumpier than the headlines suggest.
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Kurt’s key takeaways
Amazon shelving Blue Jay is not a retreat from robotics. It is a recalibration. The company is betting that modular, flexible systems will win over massive, tightly integrated machines. That shift could define the next era of e-commerce logistics. For you, the promise remains the same: faster delivery, better availability and more local convenience. But behind that promise is a complicated dance between AI ambition and real-world constraints.
If even Amazon struggles to make advanced robots work at scale, how much of the AI revolution is still more vision than reality? Let us know by writing to us at Cyberguy.com
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Technology
Valve is so behind on Steam Controller orders that some won’t ship until 2027
Valve has some good news and bad news about Steam Controllers. The good news: if you make a reservation for a Steam Controller, the company will now show you one of three estimates of when you’ll be able to actually order your gamepad: by September 2026, by December 2026, or sometime in 2027. The bad news: any reservations made today “indicate a 2027 date for shipping,” Valve says.
“We have no plans to stop making Steam Controller,” according to Valve. “But as we look at the current demand compared to how many we know we can make by the end of the year, we want to manage expectations as much as we can with regards to when folks can expect to receive their order.”
Valve’s very good new Steam Controller went on sale in early May, and the initial rush led some people to run into frustrating problems with trying to check out ahead of the controllers eventually going out of stock. A few days later, the company announced that it would be implementing a reservations queue for interested buyers so they could get on a waitlist. If you’re on the waitlist, when you get notified that a Steam Controller is ready for you to buy, you have 72 hours to actually make the order.
“When we launched Steam Controller last month, we quickly saw that initial demand exceeded our expectations,” Valve says. “Switching to a reservation queue has (hopefully) cut down on the headaches on the customer side, and for us it’s also been helpful as we plan ahead and try to get as many out as quickly as we are able.”
All three of Valve’s big hardware products were delayed from a planned early 2026 launch because of the component crisis, Valve still hasn’t announced when the Steam Machine PC or Steam Frame VR headset might go on sale. However, just yesterday, Valve officially launched its big SteamOS 3.8 update with support for the Steam Machine. It’s also been importing a lot of hardware into the US as of late.
Technology
McDonald’s AI drive-thru may take your next order
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The next time you pull up to a McDonald’s drive-thru, the voice taking your order may not be human. McDonald’s is testing a new AI-powered system called ArchIQ at five U.S. locations. The company has not said where those restaurants are located. The voice assistant, nicknamed Archy, can take drive-thru orders and has shown it can handle both English and Spanish.
For anyone who has repeated “no pickles” into a speaker box more than once, this could sound helpful. However, if you remember McDonald’s last AI drive-thru experiment, you may also wonder whether your burger order could somehow turn into a bag full of surprise McNuggets.
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WOULD YOU EAT AT A RESTAURANT RUN BY AI?
McDonald’s is testing an AI drive-thru system called ArchIQ at five U.S. restaurants. (Kurt “CyberGuy” Knutsson)
What is McDonald’s AI drive-thru?
ArchIQ is McDonald’s new AI system for restaurants. It can take drive-thru orders and also help with operations behind the scenes.
In a post on X, McFranchisee, an anonymous McDonald’s franchisee account, said the system is currently in five test stores and has processed more than one million transactions. The account also said about 90% of orders were completed without a human stepping in. That number sounds promising. Still, McDonald’s has not confirmed a nationwide launch date. For now, this remains a limited test.
The system also appears to connect with a bigger McDonald’s plan called “McDonald’s > NEXT.” CEO Chris Kempczinski described the strategy as a way to bring in more customers and improve restaurant productivity. The plan also includes menu changes, restaurant redesigns, technology upgrades and more focus on hospitality.
Why McDonald’s is testing AI ordering
Drive-thrus can get chaotic fast. Someone changes an order after the total appears. A child calls out from the back seat. Road noise makes the speaker hard to hear. Then the driver remembers the extra sauce after everything has already gone through. That is the type of pressure McDonald’s wants AI to handle.
If ArchIQ works well, it could help restaurants move cars through the line faster. It may also reduce mistakes during busy hours. Workers could then focus more on preparing food, handling payments and helping customers who need a real person.
ArchIQ also appears to have a management role. In the same X post, McFranchisee described Archy as a tool that could alert managers to bottlenecks or other issues before they slow down operations.
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The AI assistant, nicknamed Archy, can take drive-thru orders and may also help managers spot restaurant slowdowns. (McFranchisee)
McDonald’s tried AI drive-thru ordering before
This new test follows McDonald’s earlier AI drive-thru experiment with IBM. That program involved more than 100 restaurants. McDonald’s ended the test in 2024 after customers complained about order accuracy. Some mistakes also went viral, creating an embarrassing moment for McDonald’s and raising questions about whether the technology was ready for the drive-thru. Customers reported wrong items, strange quantities and other order mix-ups. That history is why this new test will get extra attention.
This time, McDonald’s is working with Google technology. McFranchisee also claimed every McDonald’s in the U.S. is getting Google Edge Cloud hardware in anticipation of the rollout. McDonald’s seems to believe the newer system can perform better than the last one. The real test will come when regular customers use it during real drive-thru rushes.
How McDonald’s AI drive-thru could help customers
If McDonald’s gets this right, the most obvious benefit is speed. An AI ordering system does not get tired during a long shift. It may also help more customers order in the language they prefer. That could make a busy drive-thru feel less frustrating, especially during breakfast or late-night hours.
The system may also ask clearer follow-up questions and catch missing details before the order reaches the kitchen. That would be a win for customers who want to get in, get their food and get on with the day.
The biggest problem with AI drive-thru orders
The biggest concern is accuracy. AI can still misunderstand people. That gets frustrating fast when you are trying to grab lunch between errands or get your kids fed from the back seat. A wrong order wastes time. It also puts workers in the position of fixing a mistake the machine made.
There is also the customer service side. Some people like hearing a real person at the speaker. Others may find an AI voice cold or annoying, especially if the system gets confused.
Then there is the privacy question. If an AI system takes your order, customers may wonder what gets collected, how long it is kept and who can access it. McDonald’s has not publicly explained those specifics for this current ArchIQ test.
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A drive-thru menu board stands outside a McDonald’s restaurant in Hercules, Calif., on Oct. 23, 2024, amid an E. coli outbreak linked to onions in Quarter Pounder sandwiches that has sickened dozens and killed one person across the U.S. (David Paul Morris/Bloomberg via Getty Images)
How to avoid AI drive-thru mistakes
Before you leave the drive-thru, take a moment to check the order screen. Make sure the items match what you said. Listen when the system repeats your order. Keep your receipt until you confirm the food is right.
Also, avoid sharing extra personal details at the speaker box. Your order should only require your food choices and payment.
If the AI gets confused, ask for a crew member. You do not need to keep going back and forth with a machine over fries.
What this means for you
For now, you probably will not notice a change at your local McDonald’s. The ArchIQ test appears limited to five U.S. restaurants, and the company has not said when it could expand.
Still, this gives customers a preview of where fast food may be heading. AI could soon play a bigger role in how restaurants take orders and manage the kitchen. That may speed up the line, though it could also make the experience feel less personal.
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Kurt’s key takeaways
McDonald’s clearly wants AI to play a bigger role in its restaurants. From a business point of view, the idea makes sense. Shorter drive-thru lines could help franchisees and customers. Better restaurant data could also help managers fix problems faster. But I still want the human backup. Food orders can be messy because people are messy. We change our minds. We talk over each other. We forget the extra ketchup until the last second. AI may handle much of that one day. For now, I would treat it like any busy drive-thru interaction. Speak clearly. Check the order. Do not pull away until you know your food is right.
Would you trust an AI voice to take your McDonald’s order, or do you still want a real person on the other end of the speaker? Let us know by writing to us at Cyberguy.com
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Technology
Midjourney goes from generating cat images to full-body ultrasound scans
Midjourney CEO David Holz just showed off the company’s first hardware product and plans to build a San Francisco spa, which he admitted is a bit different from the “cat pictures” produced by its AI image generator. Dubbed The Midjourney Scanner, it’s an ultrasound-based full-body scanner that uses a ring of sensors to capture vertical slices of the inside of your body, looking at the composition of your muscle, fat, bone, and organs to start. Holz said ideally, you could do this once a year or every single day, as it “aims for image quality comparable to MRI in many ways.”
He mentioned that one way he’d like to use it would be to see how his body changes in response to diet and workout changes, saying, “I’m not the most measured man on Earth yet, you know, but maybe I want to have that daily [measurable information].” A set of job listings advertises the company’s goal as trying to “build and launch the world’s first full-body ultrasound CT scanner, ultimately bringing safe, fast, and high fidelity preventative scanning to billions via a magical spa experience.”
The Midjourney Scanner was developed in a partnership with ultrasound tech company Butterfly Network, which said it uses “40 Butterfly Ultrasound-on-Chip imaging modules per system.”
The scanning process starts with stepping onto a platform that drops down into the water on rails through a ring of thousands of transducers that create ultrasonic waves. It then records the ripples passing through your body to analyze them and create detailed 3D images. The scan takes about 60 seconds. Holz said about a dozen people have been scanned so far.
It starts by stepping into a shallow pool of golden light. You then begin to descend into the water. Your body passes through a ring of underwater sensors, each acting like a dolphin, using its echolocation. The sensors send ultrasonic sound waves through your body from every angle. With enough waves, and enough angles, we form an image of what’s happening inside your body.
It combines those sensors with two petaflops of processing power. But after watching the livestreamed reveal, I’m still unclear on what Midjourney’s AI image generation tech exactly has to do with the Midjourney Medical effort, beyond an alternative business for otherwise-unused AI compute.
Holz hopes to put 10 of the scanners into a Midjourney Spa location in San Francisco’s Union Square that will open before the end of 2027 and offered to scan the hands of attendees at its launch event. The Midjourney Spa will have a gym, saunas, and cold plunges to go along with the hot tub–equipped scanning rooms where visitors will get into the water to be scanned.
He did mention that various medical applications would require FDA clearances, but for now, Midjourney Medical says it’s working on “body composition maps” that don’t require the same level of clearance as diagnostic imaging. It also says the “library of scans” users create can be shared with doctors, AI health tools, or others, and that, “We take data privacy seriously — more details on our data policies will come as we get closer to launch.”
Holz suggested that eventually these scans could become better than an MRI, without radiation, powerful magnets, or other complicating factors, to get a look at what’s going on inside people’s bodies “real fast.” In response to a question, he imagined a future where the FDA had a class of devices to look at “weird” things and allowed people to “just try to get as much data as we can.”
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