Abner Li reports via 9to5Google: Since the launch of Health Connect in 2022, Google has been winding down the Google Fit developer APIs. Earlier this week, the company fully detailed how the "Google Fit APIs have been deprecated and will be supported until June 30, 2025." Fitness and exercise apps that previously used Google Fit have until the June 2025 deadline to switch to Health Connect, with Google broadly referring to it as the "Android Health platform."

Google's migration guide for developers lists what they're supposed to switch to on Android phones and Wear OS. However, there is no replacement for the Goals API that lets Google Fit users set "how many steps and heart points they want to aim for each day." Google says it will "share more details about what's next for Android Health" at I/O later this month.

As of this API shutdown announcement, Google has said nothing about the Google Fit apps on Android, Wear OS, and iOS. They still work to track activity and house your full archive. [...] At this point, it's clear that Google Fit is not the future. On the Pixel Watch, Fitbit is the default, while Samsung and other Wear OS manufacturers have their own health tracking solutions. If Google were to announce a deprecation of the Fit app, having it coincide with the June 2025 developer deadline makes sense.

An anonymous reader quotes a report from 404 Media: Pokemon Go players are creating a headache for members of the open source map tool OpenStreetMaps by adding fake beaches where they don't exist in hopes of more easily catching Wigletts, a Pokemon that only spawns on beaches. OpenStreetMaps is a free, open source map tool much like Google or Apple maps, but is maintained by a self-governing community of volunteers where anyone is welcome to contribute. An April 27 thread in the OpenStreetMap community forum first spotted the issue, flagging two users in Italy who began marking beaches in all sorts of locations where they don't actually exist.

The OpenStreetMap user who noticed the fictitious beaches immediately connected the dots: Pokemon Go, the mega popular mobile game where players catch Pokemon and can engage in different activities depending on their geolocation, introduced different "biomes" like beach, city, forest, and mountains. Each of these have a different look, and critically, some specific Pokemon will only spawn at specific biomes. Wiglett, for example, only spawns at beaches. Some video game sites quickly noticed that Pokemon Go's beaches were appearing in real world locations like golf courses, sports fields, and other places that are not real beaches. Pokemon Go uses OpenStreetMap for its map data, and is how the game knows players are near certain points of interest.

The OpenStreetMap user created a filter of OpenStreetMap that surfaced instances where "new mappers" added beaches to the map, revealing a number of clearly fake submissions. [...] It's not clear how often Pokemon Go updates the game with data from OpenStreetMaps, but in theory the people who are manipulating the data would have easier access to the beach biome the next time it does. The OpenStreetMap thread goes on to identify one repeat offender who added dozens of fake beaches. Some are near bodies of water, like lakes, rivers, or docks, and others are landlocked schools, parking lots, and random strips of land. If there was any doubt that some of these changes are being made by Pokemon Go players, the same repeat offender also marked the map with his handle, as well as a poke ball.

An anonymous reader quotes a report from TechCrunch: CoreWeave, the GPU infrastructure provider that began life as a cryptocurrency mining operation, this week raised $1.1 billion in new funding from investors, including Coatue, Fidelity and Altimeter Capital. The round brings its valuation to $19 billion post-money and its total raised to $5 billion in debt and equity -- a remarkable figure for a company that's less than 10 years old. It's not just CoreWeave. Lambda Labs, which also offers an array of cloud-hosted GPU instances, in early April secured a "special purpose financing vehicle" of up to $500 million, months after closing a $320 million Series C round. The nonprofit Voltage Park, backed by crypto billionaire Jed McCaleb, last October announced that it's investing $500 million in GPU-backed data centers. And Together AI, a cloud GPU host that also conducts generative AI research, in March landed $106 million in a Salesforce-led round.

So why all the enthusiasm for -- and cash pouring into -- the alternative cloud space? The answer, as you might expect, is generative AI. As the generative AI boom times continue, so does the demand for the hardware to run and train generative AI models at scale. GPUs, architecturally, are the logical choice for training, fine-tuning and running models because they contain thousands of cores that can work in parallel to perform the linear algebra equations that make up generative models. But installing GPUs is expensive. So most devs and organizations turn to the cloud instead. Incumbents in the cloud computing space -- Amazon Web Services (AWS), Google Cloud and Microsoft Azure -- offer no shortage of GPU and specialty hardware instances optimized for generative AI workloads. But for at least some models and projects, alternative clouds can end up being cheaper -- and delivering better availability.

On CoreWeave, renting an Nvidia A100 40GB -- one popular choice for model training and inferencing -- costs $2.39 per hour, which works out to $1,200 per month. On Azure, the same GPU costs $3.40 per hour, or $2,482 per month; on Google Cloud, it's $3.67 per hour, or $2,682 per month. Given generative AI workloads are usually performed on clusters of GPUs, the cost deltas quickly grow. "Companies like CoreWeave participate in a market we call specialty 'GPU as a service' cloud providers," Sid Nag, VP of cloud services and technologies at Gartner, told TechCrunch. "Given the high demand for GPUs, they offers an alternate to the hyperscalers, where they've taken Nvidia GPUs and provided another route to market and access to those GPUs." Nag points out that even some Big Tech firms have begun to lean on alternative cloud providers as they run up against compute capacity challenges. Microsoft signed a multi-billion-dollar deal with CoreWeave last June to help provide enough power to train OpenAI's generative AI models.

"Nvidia, the furnisher of the bulk of CoreWeave's chips, sees this as a desirable trend, perhaps for leverage reasons; it's said to have given some alternative cloud providers preferential access to its GPUs," reports TechCrunch.

Google is streamlining the process of setting up two-factor authentication (2FA). From a report: Instead of entering your phone number first to enable 2FA, you can now add a "second step method" to your account such as an authenticator app or a hardware security key to get things set up. This should make it safer to turn on 2FA, as it lets you avoid using less secure SMS verification. You can choose to enter a time-based one-time passcode through apps like Google Authenticator, or you can follow the steps to link a hardware security key.

For the first time since it invested more than $10 billion into OpenAI in exchange for the rights to reuse the startup's AI models, Microsoft is training a new, in-house AI model large enough to compete with state-of-the-art models from Google, Anthropic and OpenAI itself. The Information: The new model, internally referred to as MAI-1, is being overseen by Mustafa Suleyman, the ex-Google AI leader who most recently served as CEO of the AI startup Inflection before Microsoft hired the majority of the startup's staff and paid $650 million for the rights to its intellectual property in March. But this is a Microsoft model, not one carried over from Inflection, although it may build on training data and other tech from the startup. It is separate from the Pi models that Inflection previously released, according to two Microsoft employees with knowledge of the effort.

MAI-1 will be far larger than any of the smaller, open source models that Microsoft has previously trained, meaning it will require more computing power and training data and will therefore be more expensive, according to the people. MAI-1 will have roughly 500 billion parameters, or settings that can be adjusted to determine what models learn during training. By comparison, OpenAI's GPT-4 has more than 1 trillion parameters, while smaller open source models released by firms like Meta Platforms and Mistral have 70 billion parameters. That means Microsoft is now pursuing a dual trajectory of sorts in AI, aiming to develop both "small language models" that are inexpensive to build into apps and that could run on mobile devices, alongside larger, state-of-the-art AI models.

In 2016, an online "swarm intelligence" platform generated a correct prediction for the Kentucky Derby — naming all four top finishers, in order. (But the next year their predictions weren't even close, with TechRepublic suggesting 2016's race had an unusual cluster of just a few top racehorses.)

So this year Decrypt.co tried crafting their own system "that can be called up when the next Kentucky Derby draws near. There are a variety of ways to enlist artificial intelligence in horse racing. You could process reams of data based on your own methodology, trust a third-party pre-trained model, or even build a bespoke solution from the ground up. We decided to build a GPT we named HorseGPT to crunch the numbers and make the picks for us...

We carefully curated prompts to instill HorseGPT with expertise in data science specific to horse racing: how weather affects times, the role of jockeys and riding styles, the importance of post positions, and so on. We then fed it a mix of research papers and blogs covering the theoretical aspects of wagering, and layered on practical knowledge: how to read racing forms, what the statistics mean, which factors are most predictive, expert betting strategies, and more. Finally, we gave HorseGPT a wealth of historical Kentucky Derby data, arming it with the raw information needed to put its freshly imparted skills to use.

We unleashed HorseGPT on official racing forms for this year's Derby. We asked HorseGPT to carefully analyze each race's form, identify the top contenders, and recommend wager types and strategies based on deep background knowledge derived from race statistics.
So how did it do? HorseGPT picked two horses to win — both of which failed to do so. (Sierra Leone did finish second — in a rare three-way photo finish. But Fierceness finished... 15th.) It also recommended the same two horses if you were trying to pick the top two finishers in the correct order — a losing bet, since, again, Fierceness finished 15th.

But even worse, HorseGPT recommended betting on Just a Touch to finish in either first or second place. When the race was over, that horse finished dead last. (And when asked to pick the top three finishers in correct order, HorseGPT stuck with its choices for the top two — which finished #2 and #15 — and, again, Just a Touch, who came in last.)

When Google Gemini was asked to pick the winner by The Athletic, it first chose Catching Freedom (who finished 4th). But it then gave an entirely different answer when asked to predict the winner "with an Italian accent."

"The winner of the Kentucky Derby will be... Just a Touch! Si, that's-a right, the underdog! There will be much-a celebrating in the piazzas, thatta-a I guarantee!"
Again, Just a Touch came in last.

Decrypt noticed the same thing. "Interestingly enough, our HorseGPT AI agent and the other out-of-the-box chatbots seemed to agree with each other," the site notes, adding that HorseGPT also seemed to agree "with many expert analysts cited by the official Kentucky Derby website."

But there was one glimmer of insight into the 20-horse race. When asked to choose the top four finishers in order, HorseGPT repeated those same losing picks — which finished #2, #15, and #20. But then it added two more underdogs for fourth place finishers, "based on their potential to outperform expectations under muddy conditions." One of those two horses — Domestic Product — finished in 13th place.

But the other of the two horses was Mystik Dan — who came in first.

Mystik Dan appeared in only one of the six "Top 10 Finishers" lists (created by humans) at the official Kentucky Derby site... in the #10 position.

An anonymous reader quotes a report from CNBC: Late last year, an artificial intelligence engineer at Amazon was wrapping up the work week and getting ready to spend time with some friends visiting from out of town. Then, a Slack message popped up. He suddenly had a deadline to deliver a project by 6 a.m. on Monday. There went the weekend. The AI engineer bailed on his friends, who had traveled from the East Coast to the Seattle area. Instead, he worked day and night to finish the job. But it was all for nothing. The project was ultimately "deprioritized," the engineer told CNBC. He said it was a familiar result. AI specialists, he said, commonly sprint to build new features that are often suddenly shelved in favor of a hectic pivot to another AI project.

The engineer, who requested anonymity out of fear of retaliation, said he had to write thousands of lines of code for new AI features in an environment with zero testing for mistakes. Since code can break if the required tests are postponed, the Amazon engineer recalled periods when team members would have to call one another in the middle of the night to fix aspects of the AI feature's software. AI workers at other Big Tech companies, including Google and Microsoft, told CNBC about the pressure they are similarly under to roll out tools at breakneck speeds due to the internal fear of falling behind the competition in a technology that, according to Nvidia CEO Jensen Huang, is having its "iPhone moment."

samleecole writes: Utah set up an online form for people to accuse other citizens and public establishments of violating the state's recently-enacted transphobic "bathroom bill." The submission form is being flooded with memes and troll comments, and the auditor also left the submissions database open to the public -- without a password, authentication, or any other protections that would keep anyone from viewing other people's submissions.

After 404 Media contacted the auditor's office for comment, they changed the permissions to require authentication. The form link has been posted to Twitter, and people have repeatedly posted screenshots of themselves uploading memes. In the database, those included photos of Barry Wood, characters from Bee Movie, and Shutterstock images of bull testicles. Twitter users have also found a link to the database that the form is connected to, which is hosted on a public Google cloud console bucket that as of Thursday, required no authentication to view. I tested the form, and found that my submission -- a photo of the yelling table cat meme -- appeared instantly in the Google Console bucket. The submission form offers anonymity with the option for the state auditor to contact submitters for more details. I haven't seen names and contact information shared in the database, but comments and image attachments were easily viewable.

Google has asked a U.S. judge not to impose sweeping changes to the Alphabet unit's app store Play that were proposed by "Fortnite" maker Epic Games in the companies' closely-watched antitrust fight. From a report: Google made its filing late on Thursday in San Francisco federal court, where Epic last year persuaded a jury that the tech giant unlawfully stifled competition with its controls over apps downloads on Android devices and payments to developers for in-app transactions. Epic's proposal "would make it nearly impossible for Google to compete," Google's filing said.

The gaming company in March asked U.S. District Judge James Donato in San Francisco to force Google to make it easier for users to download apps from other sources and to allow developers more flexibility in offering and charging for purchases. The Cary, North Carolina-based company also said it should be allowed to bring its Epic Games Store to Android "without delays and barriers." Google agreed in December to pay $700 million to resolve the states' case and, among other reforms, will allow more alternative billing options for in-app purchases.

Google is making its last attempt to fight back against a historic effort by the US Department of Justice to break the tech giant's grip on online search, as the most significant antitrust trial in 25 years comes to a close in Washington. From a report: A federal court in Washington began hearing closing arguments on Thursday after a 10-week trial in which the DoJ accused Alphabet, the parent company of Google, of suppressing search rivals by paying tens of billions annually for anti-competitive agreements with wireless carriers, browser developers and device manufacturers. During the hearing on Thursday, John Schmidtlein, a lawyer from Williams & Connolly representing Google, sought to push back on claims that it had hindered rivals' efforts to gain a foothold in online search, and argued that users had plenty of alternatives.

Unsealed court documents revealed this week that Alphabet paid Apple $20bn in 2022 alone to be the default search engine for its iPhone and Safari browser on its other devices. "Google winning agreements because it has a better product is not a harm to the competitive process, even if it gives it scale to improve its product," Schmidtlein told the court. A lawyer for the government, Kenneth Dintzer, told the court that Google's "anti-competitive conduct harms competition and is self perpetuating." Defaults "are a powerful way to drive searches, otherwise Google wouldn't pay billions of dollars for them," he added.

Amit Mehta, the judge hearing the case, noted that search "today looks a lot different than it didâ 10 to 15 years ago. He pushed back on the DoJ's contention that the quality of search had suffered due to the lack of competition, although he also noted that only two "substantial competitors" had entered the search market in the past decade. "Doesn't that tell us all we need to know in terms of barriers of entry," he asked.

Alphabet paid Apple $20 billion in 2022 for Google to be the default search engine in the Safari browser, according to newly unsealed court documents in the Justice Department's antitrust lawsuit against Google. From a report: The deal between the two tech giants is at the heart of the landmark case, in which antitrust enforcers allege Google has illegally monopolized the market for online search and related advertising. The Justice Department and Google will offer closing arguments in the case Thursday and Friday, with a decision expected later this year.

Google and Apple had hoped to shield the payment amount from public disclosure. At the trial last fall, Apple executives testified that Google paid "billions," without specifying a number. A Google witness later accidentally disclosed that Google pays 36% of the revenue it earns from search ads to Apple. Court documents filed late Tuesday ahead of the closing arguments mark the first public confirmation of the figures by Apple's senior vice president of services, Eddy Cue. Such numbers aren't disclosed by either company in their securities filings. The documents also revealed the importance of the payments to Apple's bottom line. For instance, in 2020, Google's payments to Apple constituted 17.5% of the iPhone maker's operating income.

The Google Phone app is rolling out "Audio Emoji" to some users as part of an incoming update in the beta channel, version 128. As 9to5Google reports, they are "essentially stock sound effects attached to one of six different emoji." The list includes: clapping (applause), laughing, party, crying (trombone), poop, and sting (ba dum tss). From the report: When you, as the caller, select one of these "Audio Emoji," the Google Phone app will play a fun animation while a sound effect plays for a couple of seconds. The sound effect is heard on both ends of the phone call. There does seem to be a limit on how often you can use these sound effects, as there's a bit of a "cooldown" in between that prevents you from playing sounds back to back. That's probably for the best in the case of some of these.

According to CNBC, Google is laying off at least 200 employees from its "Core" teams and moving some roles to India and Mexico. From the report: The Core unit is responsible for building the technical foundation behind the company's flagship products and for protecting users' online safety, according to Google's website. Core teams include key technical units from information technology, its Python developer team, technical infrastructure, security foundation, app platforms, core developers, and various engineering roles. At least 50 of the positions eliminated were in engineering at the company's offices in Sunnyvale, California, filings show. Many Core teams will hire corresponding roles in Mexico and India, according to internal documents viewed by CNBC.

Asim Husain, vice president of Google Developer Ecosystem, announced news of the layoffs to his team in an email last week. He also spoke at a town hall and told employees that this was the biggest planned reduction for his team this year, an internal document shows. "We intend to maintain our current global footprint while also expanding in high-growth global workforce locations so that we can operate closer to our partners and developer communities," Husain wrote in the email. [...] "Announcements of this sort may leave many of you feeling uncertain or frustrated," Husain wrote in the email to developers. He added that his message to developers is that the changes "are in service of our broader goals" as a company. The teams involved in the reorganization have been key to the company's developer tools, an area Google is streamlining as it incorporates more artificial intelligence into the products.

Roblox announced it'll be rolling out virtual billboards with video advertisements that will be displayed in its virtual worlds. Reuters reports: Users will now see billboards featuring content from brands such as e.l.f beauty, Walmart and Warner Bros Discovery, just as they would in real life. That would give advertisers access to Roblox's nearly 72 million daily active users -- half of whom are Gen-Z customers, a population group prized by marketers and businesses.

The company in November began testing the video ads -- that will be served to users who are 13 years and older -- as part of its efforts to reduce reliance on revenue generated from its in-game currency "Robux", which players can use to buy outfits, vehicles and other features inside the company's digital worlds. It charges a fee on all purchases done on its platform, which hosts millions of videogames that are built by its users -- who get a share of any related revenue.

That practice will extend to the ads, with creators of the virtual worlds who opt to show the billboards getting a portion of the revenue Roblox makes from them. Roblox is hoping its large Gen-Z user base will give it an edge in the competitive ad market, where it would have to wrestle for marketing dollars with tech giants such as Google and Meta and smaller players such as Snap.

The US could lose out on valuable AI and tech talent if some of its immigration policies are not modernized, Google says in a letter sent to the Department of Labor. From a report: Google says policies like Schedule A, a list of occupations the government "pre-certified" as not having enough American workers, have to be more flexible and move faster to meet demand in technologies like AI and cybersecurity. The company says the government must update Schedule A to include AI and cybersecurity and do so more regularly.

"There's wide recognition that there is a global shortage of talent in AI, but the fact remains that the US is one of the harder places to bring talent from abroad, and we risk losing out on some of the most highly sought-after people in the world," Karan Bhatia, head of government affairs and public policy at Google, tells The Verge. He noted that the occupations in Schedule A have not been updated in 20 years.

Companies can apply for permanent residencies, colloquially known as green cards, for employees. The Department of Labor requires companies to get a permanent labor certification (PERM) proving there is a shortage of workers in that role. That process may take time, so the government "pre-certified" some jobs through Schedule A. The US Citizenship and Immigration Services lists Schedule A occupations as physical therapists, professional nurses, or "immigrants of exceptional ability in the sciences or arts." While the wait time for a green card isn't reduced, Google says Schedule A cuts down the processing time by about a year.

Microsoft's motivation for investing heavily and partnering with OpenAI came from a sense of falling badly behind Google, according to an internal email released Tuesday as part of the Justice Department's antitrust case against the search giant. Bloomberg: The Windows software maker's chief technology officer, Kevin Scott, was "very, very worried" when he looked at the AI model-training capability gap between Alphabet's efforts and Microsoft's, he wrote in a 2019 message to Chief Executive Officer Satya Nadella and co-founder Bill Gates. The exchange shows how the company's top executives privately acknowledged they lacked the infrastructure and development speed to catch up to the likes of OpenAI and Google's DeepMind.

[...] Scott, who also serves as executive vice president of artificial intelligence at Microsoft, observed that Google's search product had improved on competitive metrics because of the Alphabet company's advancements in AI. The Microsoft executive wrote that he made a mistake by dismissing some of the earlier AI efforts of its competitors. "We are multiple years behind the competition in terms of machine learning scale," Scott said in the email. Significant portions of the message, titled 'Thoughts on OpenAI,' remain redacted. Nadella endorsed Scott's email, forwarding it to Chief Financial Officer Amy Hood and saying it explains "why I want us to do this."

Mishaal Rahman reports via Android Authority: Earlier today, a Senior Staff Software Engineer at Google who, according to their LinkedIn, leads the Android Systems Team and works on Android's Linux kernel fork, submitted a series of patches to AOSP that "remove ACK's support for riscv64." The description of these patches states that "support for risc64 GKI kernels is discontinued."

ACK stands for Android Common Kernel and refers to the downstream branches of the official kernel.org Linux kernels that Google maintains. The ACK is basically Linux plus some "patches of interest to the Android community that haven't been merged into mainline or Long Term Supported (LTS) kernels." There are multiple ACK branches, including android-mainline, which is the primary development branch that is forked into "GKI" kernel branches that correspond to a particular combination of supported Linux kernel and Android OS version. GKI stands for Generic Kernel Image and refers to a kernel that's built from one of these branches. Every certified Android device ships with a kernel based on one of these GKI branches, as Google currently does not certify Android devices that ship with a mainline Linux kernel build.

Since these patches remove RISC-V kernel support, RISC-V kernel build support, and RISC-V emulator support, any companies looking to compile a RISC-V build of Android right now would need to create and maintain their own fork of Linux with the requisite ACK and RISC-V patches. Given that Google currently only certifies Android builds that ship with a GKI kernel built from an ACK branch, that means we likely won't see certified builds of Android on RISC-V hardware anytime soon. Our initial interpretation of these patches was that Google was preparing to kill off RISC-V support in Android since that was the most obvious conclusion. However, a spokesperson for Google told us this: "Android will continue to support RISC-V. Due to the rapid rate of iteration, we are not ready to provide a single supported image for all vendors. This particular series of patches removes RISC-V support from the Android Generic Kernel Image (GKI)." Based on Google's statement, Rahman suggests that "there's still a ton of work that needs to be done before Android is ready for RISC-V."

"Even once it's ready, Google will need to redo the work to add RISC-V support in the kernel anyway. At the very least, Google's decision likely means that we might need to wait even longer than expected to see commercial Android devices running on a RISC-V chip."

theodp writes: Reports of the death of Bill Gates' influence at Microsoft have been greatly exaggerated: "Publicly, [Bill] Gates has been almost entirely out of the picture at Microsoft since 2021, following allegations that he had behaved inappropriately toward female employees. In fact, Business Insider has learned, Gates has been quietly orchestrating much of Microsoft's AI revolution from behind the scenes. Current and former executives say Gates remains intimately involved in the company's operations -- advising on strategy, reviewing products, recruiting high-level executives, and nurturing Microsoft's crucial relationship with Sam Altman, the cofounder and CEO of OpenAI.

In early 2023, when Microsoft debuted a version of its search engine Bing turbocharged by the same technology as ChatGPT, throwing down the gauntlet against competitors like Google, Gates, executives said, was pivotal in setting the plan in motion. While Nadella might be the public face of the company's AI success [...] Gates has been the man behind the curtain."[...] "Today, Gates remains close with Altman, who visits his home a few times a year, and OpenAI seeks his counsel on developments. There's a 'tight coupling' between Gates and OpenAI, a person familiar with the relationship said. 'Sam and Bill are good friends. OpenAI takes his opinion and consult overall seriously.' OpenAI spokesperson Kayla Wood confirmed OpenAI continues to meet with Gates."

Apple has poached dozens of AI experts from Google and has created a secretive European laboratory in Zurich, as the tech giant builds a team to battle rivals in developing new AI models and products. From a report: According to a Financial Times analysis of hundreds of LinkedIn profiles as well as public job postings and research papers, the $2.7tn company has undertaken a hiring spree over recent years to expand its global AI and machine learning team. The iPhone maker has particularly targeted workers from Google, attracting at least 36 specialists from its rival since it poached John Giannandrea to be its top AI executive in 2018.

While the majority of Apple's AI team work from offices in California and Seattle, the tech group has also expanded a significant outpost in Zurich. Professor Luc Van Gool from Swiss university ETH Zurich said Apple's acquisitions of two local AI start-ups -- virtual reality group FaceShift and image recognition company Fashwell -- led Apple to build a research laboratory, known as its "Vision Lab," in the city.

Ahead of its annual I/O developer conference in May, Google has decided to lay off staff across key teams like Flutter, Dart, Python and others. "As we've said, we're responsibly investing in our company's biggest priorities and the significant opportunities ahead," said a Google spokesperson. "To best position us for these opportunities, throughout the second half of 2023 and into 2024, a number of our teams made changes to become more efficient and work better, remove layers, and align their resources to their biggest product priorities. Through this, we're simplifying our structures to give employees more opportunity to work on our most innovative and important advances and our biggest company priorities, while reducing bureaucracy and layers." TechCrunch reports: The company clarified that the layoffs were not company-wide but were reorgs that are part of the normal course of business. Affected employees will be able to apply for other open roles at Google, we're told. [...] Though Google didn't detail headcount, some of the layoffs at Google may have been confirmed in a WARN notice filed on April 24. WARN, or the California Worker Adjustment and Retraining Notification Act, requires employers with more than 100 employees to provide 60-day notice in advance of layoffs. In the filing, Google said it was laying off a total of 50 employees across three locations in Sunnyvale.

On social media, commenters raised concerns with the Python layoffs in particular, given the role that Python tooling plays in AI. But others pointed out that Google didn't eliminate its Python team; it replaced that team with another group based in Munich -- at least according to Python Steering Council member Thomas Wouters in a post on Mastodon last Thursday.