Anthropic is expanding Claude's app integrations beyond work tools, adding personal-service connectors like Spotify, Uber, AllTrails, TripAdvisor, Instacart, and TurboTax. The Verge reports: Some of these apps, such as Spotify, already have similar connectors in OpenAI's ChatGPT. Once an app is connected, Claude will suggest relevant connected apps directly in your conversations, like using AllTrails for hike recommendations. Anthropic notes in its blog post announcing the new connectors that, "Your data from [connected apps] isn't used to train our models, and the app doesn't see your other conversations with Claude. You can also disconnect it at any time."

Additionally, Anthropic says "there are no paid placements or sponsored answers in conversations with Claude." When multiple apps seem relevant, Claude will show results from both "ranked by what's most useful." Claude will also ask users to verify before taking actions like making a purchase or reservation using a connected app.

An anonymous reader quotes a report from the Guardian: [Five skilled workers aged 50 and older spoke] to the Guardian about how, after struggling to find work in their fields, they have turned to an emerging and growing category of work: using their expertise to train artificial intelligence models. Known as data annotation, the work involves labeling and evaluating the information used to train AI models like Open AI's ChatGPT or Google's Gemini. A doctor, for example, might review how an AI model answers medical questions to flag incorrect or unsafe responses and suggest better ones, helping the system learn how to generate more accurate and reliable responses. The ultimate goal of training is to level up AI models until they're capable of doing a job as well as a human could -- meaning they could someday replace some of these human workers.

The companies behind AI training, such as Mercor, GlobalLogic, TEKsystems, micro1 and Alignerr, operate large contractor networks staffed by people like Ciriello. Their clients include tech giants like OpenAI, Google and Meta, academic researchers and industries including healthcare and finance. For experienced professionals, AI training contracts can be a side hustle -- or a temporary fallback following a layoff -- where top experts can, in some cases, earn over $180 an hour. But that's on the high end. For some older workers [...], it represents another thing entirely: a last refuge in a brutal job market that is harder to stay in, or re-enter, the older they get. For many of them, whether or not they're training their AI replacements in their professions is besides the point. They need the work now.

[...] "There's just a lot of desperation out there," Johnson said. As opportunities narrow, many turn to what Joanna Lahey, a professor at Texas A&M University who studies age discrimination and labor outcomes, calls "bridge jobs" -- lower-paying, less demanding roles that help workers stay financially afloat as they approach retirement. Historically, that meant taking temp assignments, retail and fast-food work and gig roles like Uber and food delivery. Now, for skilled workers -- engineers, lawyers, nurses or designers, for example -- using their expertise for AI data training is becoming the new bridge job. "[AI] training work may be better in some ways than those earlier alternatives," Lahey told the Guardian.

AI training can offer flexibility, quick income and intellectual engagement. But it's often a clear step down. Professionals in fields such as software development, medicine or finance typically earn six-figure salaries that come with benefits and paid leave, according to the US Bureau of Labor Statistics. According to online job postings, AI training gigs start at $20 an hour, with pay increasing to between $30 and $40 an hour. In some cases, AI trainers with coveted subject matter expertise can earn over $100 an hour. AI training is contract-based, though, meaning the pay and hours are unstable, and it often doesn't come with benefits.

Uber is aggressively partnering with multiple robotaxi companies to avoid a future dominated by Waymo or Tesla. The ride-hailing giant has struck deals with at least a dozen autonomous vehicle players in recent years. Just last week, it announced a $1.25 billion partnership with Rivian, with plans to deploy up to 50,000 driverless vehicles over the next decade. Business Insider reports: Uber announced three new robotaxi partnerships in the past few weeks with Zoox, Wayve-Nissan, and Rivian. In less than half a decade, the company has secured at least a dozen deals, including with WeRide, AVride, May Mobility, Momenta, Pony.AI, Wayve, Baidu's Apollo Go, Motional, and Lucid-Nuro. Still, less than a half-dozen of Uber's partners have deployed fully driverless, paid robotaxi operations, and only one, Waymo, operates in the US. Uber has a joint deployment with Waymo in Atlanta, Austin, and Phoenix, but in other cities, Waymo is a competitor.

Uber's partnership spree is less about seeking the singular, dominant player of autonomous driving. Instead, analysts told Business Insider that Uber is ensuring multiple vendors can participate in the expensive business of robotaxis -- fending off the real risk of a Waymo or Tesla scaling on its own -- and giving itself a stake in the robotaxi economy by being the aggregator of choice. "The more diversified the supplier base, the better for the network in the middle, which is Uber," Mark Mahaney, an Uber analyst for Evercore ISI, told Business Insider.

Uber co-founder Travis Kalanick launched a new venture that "will focus on creating 'gainfully employed robots' for the food, mining and transport industries," Bloomberg reports.

"I left Uber in 2017 heartbroken," writes Kalanick on the new company's web site. Kalanick resigned under pressure in 2017, and complains he was "torn away from an idea and a movement that I had poured my life into... I bled, but I did not perish. I got back up and fought my way back into the arena, back to my calling. Back to building. Digitizing the Physical World is my life's work... " Kalanick is remaking his real estate company, City Storage Systems, which owns ghost-kitchen operator CloudKitchens, and renaming it Atoms, according to a manifesto posted on the new company's website. [Bloomberg notes that the company's food robotics division "makes a food assembly machine called Bowl Builder, according to its website."] In addition to its work on food, Los Angeles-based Atoms is expanding into robotics technology for mining and automotive transport. Kalanick said on the livestreamed tech talk show TBPN Friday that Atoms has effectively been in stealth for eight years and has "thousands" of employees....

Kalanick wrote on the Atoms website that the company will make "specialized robots with productive jobs that bring abundance to their owners and society at large." That will include "infrastructure for better food," he wrote, as well as "more productive mines to power Earth's industries" in addition to "wheelbase for robots" in transportation. "The industrial thing is probably our main jam," he said on TBPN. "Once you crack movement in the physical world, there are lots of people who want access to that..." Kalanick also said he was the biggest investor in Pronto, a self-driving trucking startup that currently focuses on closed sites like mines.

AI services may not stay cheap for long, as companies like OpenAI and Anthropic are currently subsidizing usage to rapidly grow market share. As these companies move toward profitability and potential IPOs, Axios reports that investors will likely push them to increase prices and improve margins. An anonymous reader shares an excerpt from the report: Flashback: Silicon Valley has seen this movie before. The so-called "millennial lifestyle subsidy" meant VC money helped underwrite cheap Uber rides and DoorDash deliveries. Before that, Amazon built its base with low prices, free shipping and, for years, no sales tax in most states. Eventually, all of these companies had to charge enough to cover costs -- and make a profit.

Follow the money: The current iteration of AI subsidies won't last forever. Both OpenAI and Anthropic are widely expected to go public. Public investors will demand earnings growth and expanding margins. Even as chips get more efficient, total spending keeps rising. Labs need more capacity, more upgrades and more supply to meet demand.

The bottom line: The costs of AI will keep going down. But total spend from customers will need to keep going up if AI companies are going to become profitable and investors are ever going to get returns on their massive investments.

At Mobile World Congress, Cristiano Amon of Qualcomm argued that the coming 6G networks will power an AI-driven "agent economy," where devices and AI assistants constantly communicate across the network. "AI will fundamentally change our mobile experiences," Qualcomm chief executive, Cristiano Amon says. "It's going to change how we think about our smartphones. Think about our personal computing. Think about and interact with a car. The car is now a computing surface. If you actually believe in the AI revolution, 6G will be required. Resistance is futile." The company says early consumer testing could begin around the 2028 Los Angeles Olympics, with broader rollouts expected by 2029. Fortune's Kamal Ahmed reports: Akash Palkhiwala is Qualcomm's chief financial officer and chief operating officer. I spent some time with him at the company's stand, as his leading engineers took me through a 6G future where individuals will have real-time information delivered to them via their glasses. Palkhiwala compliments me on my watch, which only does one thing. It tells me the time. "6G is going to be the first time that connectivity and AI come together in the network. What we're building is the first AI-native wireless network that's ever been built," he explains.

"The traffic that we expect on 6G is way different than what we had before," says Palkhiwala. "Before, it was all about consumer traffic. We expect 6G to be driven by [AI] agent traffic. Think about all these use cases where there are AI agents sitting on various devices -- your glasses, your watch, your phone, your PC. These agents are going to be talking back and forth across the network to other agents and services. "The traffic completely changes. 6G is being built with this idea that the traffic that goes on the network is not just going to be consumer voice calls or downloading videos, we're going to have agents talking to each other, so the reliability of the network becomes very important."

On-device capabilities (the ability of your phone to process far more data); edge computing (locally sourced IT technology rather than distant data centers); more efficient use of available bandwidth (AI-enabled load control); and greater cloud access will all come together to produce a new wireless network. [...] "Today we are in the application economy," he notes. "On the phone, you want to make a travel reservation, you go to one application. You want to order an Uber, you go to a second application. You want to order food, you go to a third application, movie tickets, etc. The user has to go through that effort. In the future, you think of the app economy moving over to an agent economy, where there's one agent I'm interacting with, and I can ask that agent to book me a movie ticket or a plane ticket, to order food for me, get an Uber for me. It knows everything about me."

An anonymous reader shares a report: Some Uber employees have built an AI clone of CEO Dara Khosrowshahi -- internally dubbed "Dara AI" -- and have been using it to rehearse and fine-tune presentations before delivering them to the actual Khosrowshahi, he revealed on a recent podcast.

Khosrowshahi said a team member told him that some teams "make the presentation to the Dara AI as a prep for making a presentation to me," and that the bot helps them adjust their slides and sharpen their delivery. Asked by the podcast host whether employees might eventually show Dara AI to the board, Khosrowshahi laughed but noted that AI models still can't process and act on new information the way executives do. "When the models can learn in real-time, that is the point at which I'm going to think that, yeah, we are all replaceable," he said.

An anonymous reader shares a report: Uber is one step closer to going airborne. On Wednesday, the company previewed its air taxi booking service ahead of an expected launch in Dubai later this year. The inaugural Uber Air program will let travelers book Joby Aviation's electric air taxis through a familiar process in the Uber app.

The experience of booking an air taxi will be much like reserving a four-wheeled Uber. In the app, after entering your destination, Uber Air will appear as an option for eligible routes. The Uber app will book a flight and an Uber Black to pick you up and drop you off at a Joby "vertiport." Joby's air taxis, built exclusively for city travel, can accommodate up to four passengers and luggage. (Uber says size and weight guidelines will be announced closer to launch.) The interior is about the size of an SUV and has "comfortable seating" with panoramic windows. They can travel up to 200 mph and have a range of up to 100 miles. Four battery packs and a triple-redundant flight computer are onboard for safety purposes.

Uber plans to invest $100 million in EV charging infrastructure to support current and future robotaxi fleets in cities like Los Angeles, the Bay Area, and Dallas, "eventually partner[ing] with multiple robotaxi companies on actual robotaxi deployment -- WeRide, Waabi, Lucid, Nuro, May Mobility, Momenta, and Waymo of course," reports CleanTechnica. From the report: "Cities can only unlock the full promise of autonomy and electrification if the right charging infrastructure is built for scale. That infrastructure needs to work for today's drivers and the fleets of the future," said Uber's global head of mobility, Pradeep Parameswaran. In addition to building some infrastructure itself, the company is making "utilization guarantee agreements" with EVgo for various major US cities as well as Electra, Hubber, and Ionity in Europe.

On Uber's latest shareholder call, CEO Dara Khosrowshahi said that the company would make "targeted growth-oriented investments aligned with the 6 strategic areas of focus." That includes self-driving vehicles/robotaxis. "With the benefit of learning from multiple AV deployments around the world, we're more convinced than ever that AVs will unlock a multitrillion-dollar opportunity for Uber. AVs amplify the fundamental strengths of our platform, global scale, deep demand density, sophisticated marketplace technology, and decades of on-the-ground experience matching riders, drivers, and vehicles, all in real time," Khosrowshahi added.

An anonymous reader quotes a report from Gothamist: City regulators on Tuesday accused Uber and DoorDash of deliberately altering their app interfaces to discourage customers from tipping food delivery workers, a move that has cost the employees more than $550 million over the last two years. A report (PDF) published by the Department of Consumer and Worker Protection argues that food delivery app giants retaliated against minimum wage rules for delivery drivers that took effect in December 2023 by implementing "design tricks" that obscure opportunities to offer a tip in their mobile apps.

DoorDash explicitly blames the new wage rules for removing the simpler tipping option. "In response to regulations in New York City, you will now only be able to add a tip for your Dasher after they have been assigned," a message on the app's checkout page states. Other food delivery apps like GrubHub allow customers the option to add a tip before checking out. The average tip for DoorDash and Uber Eats drivers in the city fell from $2.17 to 76 cents per delivery after the companies made the changes to their apps, the report found. Both companies also issue messages to customers in the city telling them the prices for their orders were "set by an algorithm using your personal data." Further reading: Uber and DoorDash Try To Halt NYC Law That Encourages Tipping

An anonymous reader quotes a report from the New York Times: On Monday, [Jensen Huang, the chief executive of the chip-making giant Nvidia] said the company would begin shipping a new A.I. chip later this year, one that can do more computing with less power than previous generations of chips could. Known as the Vera Rubin, the chip has been in development for three years and is designed to fulfill A.I. requests more quickly and cheaply than its predecessors. Mr. Huang, who spoke during CES, an annual tech conference in Las Vegas, also discussed Nvidia's surprisingly ambitious work around autonomous vehicles. This year, Mercedes-Benz will begin shipping cars equipped with Nvidia self-driving technology comparable to Tesla's Autopilot.

Nvidia's new Rubin chips are being manufactured and will be shipped to customers, including Microsoft and Amazon, in the second half of the year, fulfilling a promise Mr. Huang made last March when he first described the chip at the company's annual conference in San Jose, Calif. Companies will be able to train A.I. models with one-quarter as many Rubin chips as its predecessor, the Blackwell. It can provide information for chatbots and other A.I. products for one-tenth of the cost. They will also be able to install the chips in data centers more quickly, courtesy of redesigned supercomputers that feature fewer cables. If the new chips live up to their promise, they could allow companies to develop A.I. at a lower cost and at least begin to respond to the soaring electrical demands of data centers being built around the world.

[...] On Monday, he said Nvidia had developed new A.I. software that would allow customers like Uber and Lucid to develop cars that navigate roads autonomously. It will share the system, called Alpamayo, to spread its influence and the appeal of Nvidia's chip technology. Since 2020, Nvidia has been working with Mercedes to develop a class of self-driving cars. They will begin shipping an early example of their collaboration when Mercedes CLA cars become available in the first half of the year in Europe and the United States. Mr. Huang said the company started working on self-driving technology eight years ago. It has more than a thousand people working on the project. "Our vision is that someday, every single car, every single truck, will be autonomous," Mr. Huang said. The Rubin chips are named for the astronomer Vera Rubin, a pioneering astronomer who helped find powerful evidence of dark matter.

A viral Reddit "whistleblower" post accusing a major food delivery app of systemic exploitation is "most likely AI-generated," reports the Verge. From the report: The original post by user Trowaway_whistleblow alleged that an unnamed food delivery company regularly delays customer orders, calls couriers "human assets," and exploits their "desperation" for cash, among other indefensible actions. Nearly 90,000 upvotes and four days later, it's become increasingly clear that the post's text is probably AI-generated. Considering the delivery app industry track record of exploitation of its drivers, it's easy to see why so many people believed this was the real thing.

The Verge put the original 586-word Reddit post through several free online AI detectors, in addition to Gemini, ChatGPT, and Claude. The results were mixed: Copyleaks, GPTZero, Pangram, Gemini, and Claude all pegged it as likely AI-generated, but ZeroGPT and QuillBot both reported it as human-written. ChatGPT played it down the middle. Reached by The Verge on Signal, Trowaway_whistleblow provided an image of an Uber Eats employee badge. That image was generated or edited with Google AI, according to Gemini. The image shows an Uber Eats logo above two black boxes, presumably covering an employee name and photo, and the words "senior software engineer." It's odd that an engineer's badge would have the Uber Eats logo, and not the Uber logo, according to Gemini. That, in addition to slightly misaligned words and warped coloration at the edge of the green border, are reasons Gemini thinks it's inauthentic. (Uber later confirmed that Uber Eats-branded employee badges do not exist.) "Not only are the claims fake, but they're also dead wrong," Uber spokesperson Noah Edwardsen told The Verge. Uber Eats' Andrew Macdonald wrote on X, "This post is definitively not about us. I suspect it is completely made up. Don't trust everything you read on the internet."

DoorDash CEO Tony Xu also denied the redditor's "appalling" allegations. "This is not DoorDash, and I would fire anyone who promoted or tolerated the kind of culture described in this Reddit post," Xu said in a post on X.

The global push to put autonomous taxis on public roads is accelerating as ride-hailing companies and technology firms advance from pilot programs toward limited commercial rollouts in cities across China, the United States, Europe and the Middle East.

WeRide and Uber launched Level 4 fully driverless robotaxi operations in Abu Dhabi in November and began offering robotaxi passenger rides on Uber's platform in Dubai the following month. Amazon's Zoox started offering free rides to select early users in parts of San Francisco in November after launching its autonomous ride-hailing service on the Las Vegas Strip in September. Alphabet's Waymo now operates services in Phoenix, San Francisco, and Los Angeles -- the latter two having launched in June and November 2024 respectively.

Baidu's Apollo Go has been operating without safety drivers in Chongqing and Wuhan since securing permits in August 2022 and has since expanded to Shenzhen and Beijing. Pony.ai launched paid robotaxi services in Guangzhou in February and Shanghai in August. Tesla began a limited paid robotaxi rollout in Austin, Texas in June using Model Y SUVs, though the vehicles still require a safety monitor onboard. The expansion will continue in 2026: Waymo plans to launch an autonomous ride-hailing service in London, and Momenta is preparing a luxury robotaxi service in Abu Dhabi through a partnership with Mercedes-Benz and UAE taxi operator Lumo.

Uber and Lyft plan to trial robotaxis in London starting in 2026 using autonomous vehicles from Baidu, as the UK fast-tracks approvals for self-driving cars on public roads. CNBC reports: Lyft's testing of Baidu's initial fleet of dozens of vehicles will begin in 2026, pending regulatory approval, "with plans to scale to hundreds from there," Lyft CEO David Risher said in a post on social media platform X on Monday. Meanwhile, Uber said that its first pilot is expected to start in the first half of 2026. "We're excited to accelerate Britain's leadership in the future of mobility, bringing another safe and reliable travel option to Londoners next year," the company added.

The moves add to Baidu's growing global footprint, which it says includes 22 cities and more than 250,000 weekly trips, as it races against other Chinese players like WeRide and Western giants like Alphabet's Waymo. The UK, in particular, has seen a wave of interest from driverless taxi companies, following the government's announcement in June that it would accelerate its plans to allow autonomous vehicle tech on public roads. The government now aims to begin permitting robotaxis to operate in small-scale pilots starting in spring 2026, with Baidu likely aiming to be among the first. The city of London has also established a "Vision Zero" goal to eliminate all serious injuries and deaths in its transportation systems by 2041, with autonomous driving technology expected to play a large role.

An anonymous reader shared this report from CNBC: The Trump administration on Monday unveiled a new initiative dubbed the "U.S. Tech Force," comprising about 1,000 engineers and other specialists who will work on artificial intelligence infrastructure and other technology projects throughout the federal government.

Participants will commit to a two-year employment program working with teams that report directly to agency leaders in "collaboration with leading technology companies," according to an official government website. ["...and work closely with senior managers from companies partnering with the Tech Force."] Those "private sector partners" include Amazon Web Services, Apple, Google Public Sector, Dell Technologies, Microsoft, Nvidia, OpenAI, Oracle, Palantir, Salesforce and numerous others [including AMD, IBM, Coinbase, Robinhood, Uber, xAI, and Zoom], the website says.

The Tech Force shows the Trump administration increasing its focus on developing America's AI infrastructure as it competes with China for dominance in the rapidly growing industry... The engineering corps will be working on "high-impact technology initiatives including AI implementation, application development, data modernization, and digital service delivery across federal agencies," the site says.
"Answer the call," says the new web site at TechForce.gov.

"Upon completing the program, engineers can seek employment with the partnering private-sector companies for potential full-time roles — demonstrating the value of combining civil service with technical expertise." [And those private sector companies can also nominate employees to participate.] "Annual salaries are expected to be in the approximate range of $150,000 to $200,000."

In 2023 Slashdot covered a battery-swapping startup that promised to give EVs a full charge in about the same time it takes to fill a tank of gas.

They just filed for bankruptcy, reports Inc: Ample was founded in 2014 with a goal of "solving slow charging times and infrastructure incompatibility" for commercial EV fleets such as those in logistics, ride-hailing, and delivery, the filing states. To-date, Ample has raised more than $330 million across five rounds of funding to finance research and development and deployment. Rather than tackling fast charging, its strategy involved developing "fully autonomous modular battery swapping," capable of delivering a fully charged battery in just five minutes. The technology requires purpose-built "Ample stations" that look a little like carwashes. A car is guided into the bay and elevated on a platform. A robot then identifies the location of a car's battery module, removes it, and replaces it with a charged module, Canary Media reported.

The company also boasts partnerships with Uber, Mitsubishi, and Stellantis, and notes it has deployed its technology — or is pursuing deployment — in San Francisco, Madrid and Tokyo. Even so, it ran up against funding issues. In its filing, Ample attributed its bankruptcy to macroeconomic and industry headwinds, such as "severe supply chain disruptions," "contraction in both public and private investment in renewable energy" and the "reduction, delay, or redirection of government incentives intended to accelerate EV adoption." The filing notes that regulatory and permitting delays slowed its launch in international markets, after which access to capital foiled its scaling efforts. The company eliminated all but two full-time, non-executive employees after formerly employing about 200...

Electrek noted that Ample is the second battery swapping startup to go bankrupt after California-based Better Place in collapsed in 2013 amid financial issues related to how capital intensive it was to build infrastructure, Reuters reported. And Tesla briefly pursued the concept, building a station in California, before ditching the idea altogether.
Ample "claimed to have designed autonomous battery swapping stations that would be rapidly deployable, cheap to build, and could adapt to any EV design with a modular battery which would be easy for manufacturers to use," notes Electrek's article: Where this bankruptcy leaves Ample's technology is unclear. Another company could snap it up and try to do something with it, if they find that the technology is real and useful. Ample had gotten investments and partnerships with Shell, Mitsubishi and Stellantis, for example, so the company wasn't alone in touting its tech. Or, it could just disappear, as other EV battery swapping plans have before...

That's not to say that nobody has been successful at at implementing battery swap, though. NIO seems to be successful with its battery swapping tech in China, though the company did miss its 2025 scaling goals by a longshot. But as of yet, this is the only notable example of a successful battery swap initiative, and it was done by an automaker itself, rather than a startup claiming to work for every automaker.
Electrek's writer is "just not bullish on battery swapping as a solution in general. Currently, the fastest-charging vehicles can charge from 10-80% in about 18 minutes. While that's longer than 5 minutes, it's not really a terrible amount of time to spend during most stops."

Plus, if cars come and go in 5 minutes instead of 18 minutes, "then you're going to have more than triple the throughput at peak utilization." And Ample's prices would be about the same as normal EV quick-charging prices...

Uber is hiring more engineers rather than fewer because AI tools have made them "superhumans," CEO Dara Khosrowshahi said, pushing back against the industry trend of using productivity gains to justify headcount cuts. Speaking on the "On with Kara Swisher" podcast, Khosrowshahi noted that other tech executives see AI making engineers 20% to 30% more productive and conclude they need 20% to 30% fewer engineers. His view: every engineer has become more valuable. Between 80% and 90% of Uber's developers now use AI tools, according to Khosrowshahi.

The company no longer keeps scores of engineers on call to diagnose issues because AI agents are constantly monitoring systems, he said. The latest AI models are producing "hundreds of millions of dollars of benefit" for Uber, he said, describing the company as an "applied AI" business that harnesses the technology for pricing, payments, matching, routing, identification and customer complaints.

An anonymous reader quotes a report from the New York Times: Two of the largest food-delivery app companies have made a last-ditch effort to overturn tipping laws in New York City that go into effect in January just as its next mayor, who has been highly critical of the companies and the app industry, takes office. Tips to delivery workers have plummeted since some food-delivery apps switched to showing the tipping option only after a purchase had been completed; that change came after New York City established the country's first minimum pay-rate for the workers in 2023. The new laws will require the apps to suggest a minimum tip of 10 percent at checkout, though customers can contribute more or less, or nothing at all.

Two of the app companies, DoorDash and Uber, filed a joint federal lawsuit in the Southern District of New York late last week targeting the City Council legislation, arguing that the new rules violated the First Amendment by requiring them to "speak a government-mandated message" and exceeded the Council's authority. Although tipping will be optional under the law, the companies wrote in the suit that a "mandated pre-delivery 10 percent tip suggestion" would cause customers to use the app less because they were suffering from "tipping fatigue." "Lessened engagement would result in fewer orders," the suit said.

Uber has discontinued its monthly electric vehicle bonuses for drivers in the United States and Canada, marking the latest in a series of rollbacks from a company that once pledged to pour $800 million into helping its drivers transition away from gasoline-powered cars. The ride-hailing giant had previously eliminated its $1-per-ride EV perk last year, replacing it with monthly bonuses that required drivers to complete 200 rides. Those monthly payments are now gone too.

The company is far behind its self-imposed climate targets. Uber had pledged to reach 100% EVs in London by 2025 and across North America and Europe by 2030. Current figures paint a different picture: roughly 40% of miles in London come from EVs, while Europe sits at about 15% and North America at just 9%. The company's emissions have nearly doubled over the past three years and now exceed Denmark's total carbon footprint. Uber executives acknowledged to Bloomberg that they will likely miss their green targets. The company has doled out $539 million of its $800 million pledge through the end of 2024. Meanwhile, Uber's operating profits are set to double this year, and the company recently committed $20 billion to stock buybacks.

New York has become the first state in the nation to enact a law requiring retailers to disclose when AI and personal data are being used to set individualized prices [non-paywalled source] -- a measure that lawyers say will make algorithmic pricing "the next big battleground in A.I. regulation."

The law, enacted through the state budget, requires online retailers using personalized pricing to post a specific notice: "THIS PRICE WAS SET BY AN ALGORITHM USING YOUR PERSONAL DATA." The National Retail Federation sued to block enforcement on First Amendment grounds, arguing the required disclosure was "misleading and ominous," but federal judge Jed S. Rakoff allowed the law to proceed last month.

Uber has started displaying the notice to New York users. Spokesman Ryan Thornton called the law "poorly drafted and ambiguous" but maintained the company only considers geographic factors and demand in setting prices. At least 10 states have bills pending that would require similar disclosures or ban personalized pricing outright. California and federal lawmakers are considering complete bans.