More and more companies are choosing to deploy AI-powered chatbots to deal with basic customer service inquiries. At the ongoing Google Cloud Next conference in Las Vegas, the company has revealed the Gemini-powered chatbots its partners are working on, some of which you could end up interacting with. Best Buy, for instance, is using Google's technology to build virtual assistants that can help you troubleshoot product issues and reschedule order deliveries. IHG Hotels & Resorts is working on another that can help you plan a vacation in its mobile app, while Mercedes Benz is using Gemini to improve its own smart sales assistant. 

Security company ADT is also building an agent that can help you set up your home security system. And if you happen to be a radiologist, you may end up interacting with Bayer's Gemini-powered apps for diagnosis assistance. Meanwhile, other partners are using Gemini to create experiences that aren't quite customer-facing: Cintas, Discover and Verizon are using generative AI capabilities in different ways to help their customer service personnel find information more quickly and easily. 

Google has launched the Vertex AI Agency Builder, as well, which it says will help developers "easily build and deploy enterprise-ready gen AI experiences" like OpenAI's GPTs and Microsoft's Copilot Studio. The Builder will provide developers with a set of tools they can use for their projects, including a no-code console that can understand natural language and build AI agents based on Gemini in minutes. Vertex AI has more advanced tools for more complex projects, of course, but their common goal is to simplify the creation and maintenance of personalized AI chatbots and experiences. 

At the same event, Google also announced its new AI-powered video generator for Workspace, as well as its first ARM-based CPU specifically made for data centers. By launching the latter, it's taking on Amazon, which has been using its Graviton processor to power its cloud network over the past few years. 

Apple is still on the hunt for the next revolutionary product to help it remain dominant in the market and to serve as new sources of revenue after abandoning its plans to develop an electric vehicle of its own. According to Bloomberg's Mark Gurman, one of the areas the company is exploring is personal robotics. It reportedly started looking into robots and electric vehicles at the same time, with the hopes of developing a machine that doesn't need human intervention. 

While Apple's robotics projects are still in the very early stages, Bloomberg said it had already started working on a mobile robot that can follow users around their home and had already developed a table-top device that uses a robot to move a screen around. The idea behind the latter is to have a machine that can mimic head movements and can lock on to a single person in a group, presumably for a better video call experience. Since these robots are supposed to be able to move on their own, the company is also looking into the use of algorithms for navigation. Based on the report, Apple's home devices group is in charge of their development, and at least one engineer who worked on its scrapped EV initiative has joined the team. 

Robots, however, aren't like phones in the sense that people these days need them in their lives. Apple is apparently worried about whether people would pay "top dollar" for the robots it has in mind, and executives still can't get to an agreement on whether the company should keep working on these projects. Gurman previously reported that Apple may have sold its EV for $100,000 — if that's true, it had a bigger potential to grow the company's revenue. But the Apple Car is now out of the picture, and the company is reportedly putting all of its focus on the Vision Pro and new products for the home, which also includes a home hub device with a display that resembles an iPad. Of course, Apple could still scrap these projects, and it could find other classes of products to invest in if it discovers that they could bring in bigger money in the future. 

The dream of quantum computing has always been exciting: What if we could build a machine working at the quantum level that could tackle complex calculations exponentially faster than a computer limited by classical physics? But despite seeing IBM, Google and others announce iterative quantum computing hardware, they're still not being used for any practical purposes. That might change with today's announcement from Microsoft and Quantinuum, who say they've developed the most error-free quantum computing system yet.

While classical computers and electronics rely on binary bits as their basic unit of information (they can be either on or off), quantum computers work with qubits, which can exist in a superposition of two states at the same time. The trouble with qubits is that they're prone to error, which is the main reason today's quantum computers (known as Noisy Intermediate Scale Quantum [NISQ] computers) are just used for research and experimentation.

Microsoft's solution was to group physical qubits into virtual qubits, which allows it to apply error diagnostics and correction without destroying them, and run it all over Quantinuum's hardware. The result was an error rate that was 800 times better than relying on physical qubits alone. Microsoft claims it was able to run more than 14,000 experiments without any errors.

According to Jason Zander, EVP of Microsoft's Strategic Missions and Technologies division, this achievement could finally bring us to "Level 2 Resilient" quantum computing, which would be reliable enough for practical applications.

"The task at hand for the entire quantum ecosystem is to increase the fidelity of qubits and enable fault-tolerant quantum computing so that we can use a quantum machine to unlock solutions to previously intractable problems," Zander, wrote in a blog post today. "In short, we need to transition to reliable logical qubits — created by combining multiple physical qubits together into logical ones to protect against noise and sustain a long (i.e., resilient) computation. ... By having high-quality hardware components and breakthrough error-handling capabilities designed for that machine, we can get better results than any individual component could give us."

Microsoft

Researchers will be able to get a taste of Microsoft's reliable quantum computing via Azure Quantum Elements in the next few months, where it will be available as a private preview. The goal is to push even further to Level 3 quantum supercomputing, which will theoretically be able to tackle incredibly complex issues like climate change and exotic drug research. It's unclear how long it'll take to actually reach that point, but for now, at least we're moving one step closer towards practical quantum computing.

Instagram is working on a feature that would recommend Reels to you and a friend based on videos you've shared with each other and your individual interests. Reverse engineer Alessandro Paluzzi unearthed the feature, which is called Blend. Instagram confirmed to TechCrunch that it's testing Blend internally and it hasn't started trialing it publicly. It may be the case that Blend never sees the light of day, though it's always intriguing to find out about the ideas Instagram is toying with.

The platform hasn't revealed more details about how Blend will work, though the idea seems to be that Instagram users and one of their besties will discover new Reels together instead of one of them finding a video they like and DMing it to the other. It would make sense for Blend to have an indicator that the other person has already seen a particular Reel so that the two people who have access to the feed can start chatting about it. 

TikTok doesn't have a feature along these lines, as TechCrunch notes, so Blend could give Instagram an advantage when it comes to folks who like to check out short-form videos together. As with many of the other features platforms of this ilk introduce, Blend fundamentally seems to be about increasing engagement.

Gig work predates the internet. Besides traditional forms of self-employment, like plumbing, offers for ad-hoc services have long been found in the Yellow Pages and newspaper classified ads, and later Craigslist and Backpage which supplanted them. Low-cost broadband internet allowed for the proliferation of computer-based gig platforms like Mechanical Turk, Fiverr and Elance, which offered just about anyone some extra pocket change. But once smartphones took off, everywhere could be an office, and everything could be a gig — and thus the gig economy was born.

Maybe it was a confluence of technological advancement and broad financial anxiety from the 2008 recession, but prospects were bad, people needed money and many had no freedom to be picky about how. This was the same era in which the phrase "the sharing economy" proliferated — at once sold as an antidote to overconsumption, but that freedom from ownership belied the more worrying commoditization of any skill or asset. Of all the companies to take advantage of this climate, none went further or have held on harder than Uber.

Uber became infamous for railroading its way into new markets without getting approval from regulators. It cemented its reputation as a corporate ne'er-do-well through a byzantine scandal to avoid regulatory scrutiny, several smaller ones over user privacy and minimally-beneficial surcharges as well as, in its infancy, an internal reputation for sexual harassment and discrimination. Early on, the company used its deep reserves of venture capital to subsidize its own rides, eating away at the traditional cab industry in a given market, only to eventually increase prices and try to minimize driver pay once it reached a dominant position. Those same reserves were spent aggressively recruiting drivers with signup bonuses and convincing them they could be their own boss.

Self-employment has a whiff of something liberatory, but Uber effectively turned a traditionally employee-based industry into one that was contractor-based. This meant that one of the first casualties of the ride-sharing boom were taxi medallions. For decades, cab drivers in many locales effectively saw these licenses as retirement plans, as they'd be able to sell them on to newcomers when it was time to hang up their flat cap. But in large part due to the influx of ride-sharing services, the value of medallions has plummeted over the last decade or so — in New York, for instance, the value of a medallion dropped from around $1 million in 2014 to $100,000 in 2021. That's in tandem with a drop in earnings, leaving many struggling to pay off enormous loans they took out to buy a medallion.

Some jurisdictions have sought to offset that collapse in medallion value. Quebec pledged $250 million CAD in 2018 to compensate cab drivers. Other regulators, particularly in Australia, applied a per-ride fee to ride-sharing services as part of efforts to replace taxi licenses and compensate medallion holders. In each of those cases, taxpayers and riders, not rideshare companies, bore the brunt of the impact on medallion holders.

At first it was just cab drivers that were hurting, but over the years, compensation for this new class of non-employee app drivers dried up too. In 2017, Uber paid $20 million to settle allegations from the Federal Trade Commission that it used false promises about potential earnings to entice drivers to join its platform. Late last year, Uber and Lyft agreed to pay $328 million to New York drivers after the state conducted a wage theft investigation. The settlement also guaranteed a minimum hourly rate for drivers outside of New York City, where drivers were already subject to minimum rates under Taxi & Limousine Commission rules.

Many rideshare drivers have also sought recognition as employees rather than contractors, so they can have a consistent hourly wage, overtime pay and benefits — efforts that the likes of Uber and rival Lyft have been fighting against. In January, the Department of Labor issued a final rule that aims to make it more difficult for gig economy companies to classify workers as independent contractors rather than employees. The EU is also weighing a provisional deal to reclassify millions of app workers as employees.

Of course, the partial erosion of an entire industry's labor market wasn't always the end goal. At one point, Uber wanted to zero out labor costs by getting rid of drivers entirely. It planned to do so by rolling out a fleet of self-driving vehicles and flying taxis.

"The reason Uber could be expensive is because you're not just paying for the car — you're paying for the other dude in the car," former CEO Travis Kalanick said in 2014, a day after Uber suggested drivers could make $90,000 per year on the platform. "When there's no other dude in the car, the cost of taking an Uber anywhere becomes cheaper than owning a vehicle. So the magic there is, you basically bring the cost below the cost of ownership for everybody, and then car ownership goes away."

Uber's grand automation plans didn't work out as intended, however. The company, under current CEO Dara Khosrowshahi, sold its self-driving car and flying taxi units in late 2020.

Uber's success had second-order effects too: despite a business model best described as "set money on fire until (fingers crossed!) a monopoly is established" a whole slew of startups were born, taking their cues from Uber or explicitly pitching themselves as "Uber for X." Sure, you might find a place to stay on Airbnb or Vrbo that's nicer and less expensive than a hotel room. But studies have shown that such companies have harmed the affordability and availability of housing in some markets, as many landlords and real-estate developers opt for more profitable short-term rentals instead of offering units for long-term rentals or sale. Airbnb has faced plenty of other issues over the years, from a string of lawsuits to a mass shooting at a rental home.

Increasingly, this is becoming the blueprint. Goods and services are exchanged by third parties, facilitated by a semi-automated platform rather than a human being. The platform's algorithm creates the thinnest veneer between choice and control for the workers who perform identical labor to the industry that platform came to replace, but that veneer allows the platform to avoid traditionally pesky things like legal liability and labor laws. Meanwhile, customers with fewer alternative options find themselves held captive by these once-cheap platforms that are now coming to collect their dues. Dazzled by the promise of innovation, regulators rolled over or signed a deal with the devil. It's everyone else who's paying the cost.

To celebrate Engadget's 20th anniversary, we're taking a look back at the products and services that have changed the industry since March 2, 2004.

Snapchat has a new AI-powered perk for subscribers: Bitmoji versions of your pet. The feature, which is unfortunately not called “petmoji,” allows users to snap a photo of their four-legged friend to create a cartoon-like avatar to accompany their Bitmoji in the Snap Map.

Based on screenshots shared by the company, it seems users will be able to choose from a few different variations of the AI-generated images after sharing a photo of their pet. That’s considerably less customization than what you can do with your own human-inspired Bitmoji,though it should allow users to create something that looks similar to their IRL pet. (No word on if Snap could one day introduce branded pet accessories for animal avatars like they do for human Bitmoji.)

The addition is also the latest example of how Snap has embraced AI features in its subscription offering. Since debuting Snapchat+ in 2022, the company has used the premium service to experiment with generative AI features, including its MyAI assistant as well as camera-powered features like Dreams and AI-generated snaps. Snapchat+ has more than 7 million subscribers, the company announced in December.

Elsewhere, Snap added some updates for non-subscribers, too. The app is adding a new template feature to make it easier to edit clips, and new swipe-based gestures to send and edit snaps more quickly. Snapchat will also support longer video uploads for Stories and Spotlight. In-app captures can now be three minutes long, while the app will support uploads of up to five minutes.

Amazon just launched an app that lets people sign up for its palm recognition service without having to head to an in-store kiosk. The Amazon One app uses a smartphone’s camera to take a photo of a palm print to set up an account. Once signed up, you can pay for stuff by using just your hand, ending the tyranny of having to carry a smartphone, cash or a burdensome plastic card.

The tech uses generative AI to analyze a palm's vein structure, turning the data into a “unique numerical, vector representation” which is recognized by scanning machines at retail locations. You’ll have to add a payment method within the app to get started and upload a photo of your ID for the purpose of age verification.

The app launches today for iOS and Android. Previously, you’d have to go to a physical location to sign up for Amazon One. Beyond payments, the tech is also used as an age verification tool and as a way to enter concerts and sporting events without having to bring along a ticket.

Once you hand over your palm-print to the completely benevolent Amazon corporation, you’ll have unfettered access to each and every Whole Foods grocery store throughout the country. Amazon, after all, owns Whole Foods. Amazon One payments are also accepted at some Panera Bread locations, in addition to certain airports, stadiums and convenience stores.

There are obvious privacy concerns here, as passwords can change but palms cannot. Amazon says that all uploaded palm images are “encrypted and sent to a secure Amazon One domain” in the Amazon Web Service cloud. The company also says the app “includes additional layers of spoof detection,” noting that it’s not possible to save or download palm images to the phone itself.

Google just announced that it’s expanding its recently-launched Circle to Search tool to include language translation, as part of an update to various core services. Circle to Search, as the name suggests, already lets some Android users research stuff by drawing a circle around an object.

The forthcoming language translation component won’t even require a drawn circle. Google says people will just have to long press the home button or the navigation bar and look for the translate icon. It’ll do the rest. The company showed the tech quickly translating an entire menu with one long press. Google Translate can already do this, though in a slightly different way, but this update means users won’t have to pop out of one app and into another just to check on something.

The translation tool begins rolling out in the “coming weeks”, though only to Android devices that can run Circle to Search. This list currently includes Pixel 7 devices, Pixel 8 devices and the Samsung Galaxy S24 series, though Google says it's coming to more phones and tablets this week, including some foldables.

Google Maps is also getting a refresh, with an emphasis on AI. When you pull up a place on Maps, like a restaurant, artificial intelligence will display a summary that describes unique points of interest and “what people love” about the business. The AI will also analyze photos of food and identify what the dish is called, in addition to the cost and whether it's vegetarian or vegan. The company hopes this will make it easier to make reservations and book trips.

Google

On the non-AI side of things, Maps is getting an updated lists feature in select cities throughout the US and Canada. This will aggregate lists of must-visit destinations pulled from members of the community and local publishers. There will be tools to customize these lists as you see fit.

These will be joined by lists created by Google and its algorithm, including a weekly trending list to discover the “latest hot spots” and something called Gems that chronicles under-the-radar spots. All of these Maps updates are coming to both Android and iOS devices later this month.

China has introduced guidelines that bar the the use of US processors from AMD and Intel in government computers and servers, The Financial Times has reported. The new rules also block Microsoft Windows and foreign database products in favor of domestic solutions, marking the latest move in a long-running tech trade war between the two countries.

Government agencies must now use "safe and reliable" domestic replacements for AMD and Intel chips. The list includes 18 approved processors, including chips from Huawei and the state-backed company Phytium — both of which are banned in the US. 

The new rules — introduced in December and quietly implemented recently — could have a significant impact on Intel and AMD. China accounted for 27 percent of Intel's $54 billion in sales last year and 15 percent of AMD's revenue of $23 billion, according to the FT. It's not clear how many chips are used in government versus the private sector, however. 

The moves are China's most aggressive yet to restrict the use of US-built technology. Last year, Beijing prohibited domestic firms from using Micron chips in critical infrastructure. Meanwhile, the US has banned a wide range of Chinese companies ranging from chip manufacturers to aerospace firms. The Biden administration has also blocked US companies like NVIDIA from selling AI and other chips to China. 

The US, Japan and the Netherlands have dominated the manufacturing of cutting-edge processors, and those nations recently agreed to tighten export controls on lithography machines from ASL, Nikon and Tokyo Electron. However, Chinese companies, including Baidu, Huawei, Xiaomi and Oppo have already started designing their own semiconductors to prepare for a future wherein they could longer import chips from the US and other countries.

The UK's Competition and Markets Authority (CMA) is concerned that the merger Three and Vodafone announced last year could lead to "substantial lessening of competition" and might conduct an in-depth investigation into the deal. Three years after Virgin Media's merger with O2, Three and Vodafone revealed their intention to enter a joint venture agreement that would knock off a standalone mobile network from consumers' choices in the region. go

Apparently, CMA regulators launched a preliminary investigation into their proposed deal back in January and had identified potential issues that could come with combining two of the four remaining mobile network operators in the UK. Those issues include the possibility of the merger leading to higher prices and lower quality of service, since competition typically helps keep prices low and compels operators to make investments meant to improve their network quality. In addition, the CMA is worried that having fewer networks could affect mobile virtual network operators' ability to negotiate for the best deals possible for their customers.

When the two companies announced the merger in 2023, they said that together, they will "have the scale needed to deliver a best-in-class 5G network" and open up "new opportunities for businesses across the length and breadth of the UK." But CMA regulators say their claims "need more detailed assessment." They've now given the companies five working days to respond to their concerns with "meaningful solutions," otherwise they'll proceed towards conducting a more in-depth investigation. 

In 2015, Three also made an attempt to purchase O2 for £10.25 billion ($12.9 billion), but the CMA and the European Commission blocked the purchase after concluding that it would reduce competition and lead to higher prices. The CMA approved the joint agreement between O2 and Virgin Media, a landline, cable and broadband operator, however, after it found those very same concerns to be unfounded.