An anonymous reader quotes a report from TechCrunch: It's only been a day since ChatGPT's new AI image generator went live, and social media feeds are already flooded with AI-generated memes in the style of Studio Ghibli, the cult-favorite Japanese animation studio behind blockbuster films such as "My Neighbor Totoro" and "Spirited Away." In the last 24 hours, we've seen AI-generated images representing Studio Ghibli versions of Elon Musk, "The Lord of the Rings", and President Donald Trump. OpenAI CEO Sam Altman even seems to have made his new profile picture a Studio Ghibli-style image, presumably made with GPT-4o's native image generator. Users seem to be uploading existing images and pictures into ChatGPT and asking the chatbot to re-create it in new styles.

OpenAI's latest update comes on the heels of Google's release of a similar AI image feature in its Gemini Flash model, which also sparked a viral moment earlier in March when people used it to remove watermarks from images. OpenAI's and Google's latest tools make it easier than ever to re-create the styles of copyrighted works -- simply by typing a text prompt. Together, these new AI image features seem to reignite concerns at the core of several lawsuits against generative AI model developers. If these companies are training on copyrighted works, are they violating copyright law?

According to Evan Brown, an intellectual property lawyer at the law firm Neal & McDevitt, products like GPT-4o's native image generator operate in a legal gray area today. Style is not explicitly protected by copyright, according to Brown, meaning OpenAI does not appear to be breaking the law simply by generating images that look like Studio Ghibli movies. However, Brown says it's plausible that OpenAI achieved this likeness by training its model on millions of frames from Ghibli's films. Even if that was the case, several courts are still deciding whether training AI models on copyrighted works falls under fair use protections. "I think this raises the same question that we've been asking ourselves for a couple years now," said Brown in an interview. "What are the copyright infringement implications of going out, crawling the web, and copying into these databases?"

An anonymous reader quotes a report from Android Authority: No matter the manufacturer, every Android phone has one thing in common: its software base. Manufacturers can heavily customize the look and feel of the Android OS they ship on their Android devices, but under the hood, the core system functionality is derived from the same open-source foundation: the Android Open Source Project. After over 16 years, Google is making big changes to how it develops the open source version of Android in an effort to streamline its development. [...] Beginning next week, all Android development will occur within Google's internal branches, and the source code for changes will only be released when Google publishes a new branch containing those changes. As this is already the practice for most Android component changes, Google is simply consolidating its development efforts into a single branch.

This change will have minimal impact on regular users. While it streamlines Android OS development for Google, potentially affecting the speed of new version development and bug reduction, the overall effect will likely be imperceptible. Therefore, don't expect this change to accelerate OS updates for your phone. This change will also have minimal impact on most developers. App developers are unaffected, as it pertains only to platform development. Platform developers, including those who build custom ROMs, will largely also see little change, since they typically base their work on specific tags or release branches, not the main AOSP branch. Similarly, companies that release forked AOSP products rarely use the main AOSP branch due to its inherent instability.

External developers who enjoy reading or contributing to AOSP will likely be dismayed by this news, as it reduces their insight into Google's development efforts. Without a GMS license, contributing to Android OS development becomes more challenging, as the available code will consistently lag behind by weeks or months. This news will also make it more challenging for some developers to keep up with new Android platform changes, as they'll no longer be able to track changes in AOSP. For reporters, this change means less access to potentially revealing information, as AOSP patches often provide insights into Google's development plans. [...] Google will share more details about this change when it announces it later this week. If you're interested in learning more, be sure to keep an eye out for the announcement and new documentation on source.android.com. Android Authority's Mishaal Rahman says Google is "committed to publishing Android's source code, so this change doesn't mean that Android is becoming closed-source."

"What will change is the frequency of public source code releases for specific Android components," says Rahman. "Some components like the build system, update engine, Bluetooth stack, Virtualization framework, and SELinux configuration are currently AOSP-first, meaning they're developed fully in public. Most Android components like the core OS framework are primarily developed internally, although some features, such as the unlocked-only storage area API, are still developed within AOSP."

Microsoft has walked away from new data center projects in the US and Europe that would have amounted to a capacity of about 2 gigawatts of electricity, according to TD Cowen analysts, who attributed the pullback to an oversupply of the clusters of computers that power artificial intelligence. From a report: The analysts, who rattled investors with a February note highlighting leases Microsoft had abandoned in the US, said the latest move also reflected the company's choice to forgo some new business from ChatGPT maker OpenAI, which it has backed with some $13 billion. Microsoft and the startup earlier this year said they had altered their multiyear agreement, letting OpenAI use cloud-computing services from other companies, provided Microsoft didn't want the business itself.

Microsoft's retrenchment in the last six months included lease cancellations and deferrals, the TD Cowen analysts said in their latest research note, dated Wednesday. Alphabet's Google had stepped in to grab some leases Microsoft abandoned in Europe, the analysts wrote, while Meta Platforms had scooped up some of the freed capacity in Europe.

A U.S. appeals court has ruled that Apple cannot participate in Google's upcoming antitrust trial, potentially jeopardizing a $20 billion annual deal between the tech giants. The DC Circuit Court of Appeals affirmed that Apple waited too long to join the proceedings, filing its request 33 days after the government proposed remedies in the case Google lost last August.

"The delay seems difficult to justify," the judges ruled. While Apple can still submit written testimony and file friend-of-court briefs, it cannot present evidence or cross-examine witnesses as it had sought. At stake is Google's practice of paying Apple approximately $20 billion annually to remain the default search engine in Safari browsers across Apple devices. The government's proposed remedies would make such arrangements impermissible.

wiredmikey shares a report from SecurityWeek: Google late Tuesday rushed out a patch for a sandbox escape vulnerability in its flagship Chrome browser after researchers at Kaspersky caught a professional hacking operation launching drive-by download exploits. The vulnerability, tracked as CVE-2025-2783, was chained with a second exploit for remote code execution in what appears to be a nation-state sponsored cyberespionage campaign [dubbed Operation ForumTroll] targeting organizations in Russia.

Kaspersky said it detected a series of infections triggered by phishing emails in the middle of March and traced the incidents to a zero-day that fired when victims simply clicked on a booby-trapped website from a Chrome browser. The Russian anti-malware vendor said victims merely had to click on a personalized, short-lived link, and their systems were compromised when the malicious website was opened in Chrome. Kaspersky said its exploit detection tools picked up on the zero-day, and after reverse-engineering the code, the team reported the bug to Google and coordinated the fix released on Tuesday.

Google DeepMind has launched Gemini 2.5, a new family of AI models designed to "think" before responding to queries. The initial release, Gemini 2.5 Pro Experimental, tops the LMArena leaderboard by what Google claims is a "significant margin" and demonstrates enhanced reasoning capabilities across technical tasks. The model achieved 18.8% on Humanity's Last Exam without tools, outperforming most competing flagship models. In mathematics, it scored 86.7% on AIME 2025 and 92.0% on AIME 2024 in single attempts, while reaching 84.0% on GPQA's diamond benchmark for scientific reasoning.

For developers, Gemini 2.5 Pro demonstrates improved coding abilities with 63.8% on SWE-Bench Verified using a custom agent setup, though this falls short of Anthropic's Claude 3.7 Sonnet score of 70.3%. On Aider Polyglot for code editing, it scores 68.6%, which Google claims surpasses competing models. The reasoning approach builds on Google's previous experiments with reinforcement learning and chain-of-thought prompting. These techniques allow the model to analyze information, incorporate context, and draw conclusions before delivering responses. Gemini 2.5 Pro ships with a 1 million token context window (approximately 750,000 words). The model is available immediately in Google AI Studio and for Gemini Advanced subscribers, with Vertex AI integration planned in the coming weeks.

An anonymous reader shares a report: Sometime earlier this month, Apple updated a section of its website that discloses how it collects and uses imagery for Apple Maps' Look Around feature, which is similar to Google Maps' Street View, as spotted by 9to5Mac. A newly added paragraph reveals that, beginning in March 2025, Apple will be using imagery and data collected during Look Around surveys to "train models powering Apple products and services, including models related to image recognition, creation, and enhancement."

Apple collects images and 3D data to enhance and improve Apple Maps using vehicles and backpacks (for pedestrian-only areas) equipped with cameras, sensors, and other equipment including iPhones and iPads. The company says that as part of its commitment to privacy, any images it captures that are published in the Look Around feature have faces and license plates blurred. Apple also says it will only use imagery with those details blurred out for training models. It does accept requests for those wanting their houses to also be blurred, but by default they are not.

An anonymous reader quotes a report from ZDNet: There are many stories of how artificial intelligence came to take over the world, but one of the most important developments is the emergence in 2012 of AlexNet, a neural network that, for the first time, demonstrated a huge jump in a computer's ability to recognize images. Thursday, the Computer History Museum (CHM), in collaboration with Google, released for the first time the AlexNet source code written by University of Toronto graduate student Alex Krizhevsky, placing it on GitHub for all to peruse and download.

"CHM is proud to present the source code to the 2012 version of Alex Krizhevsky, Ilya Sutskever, and Geoffery Hinton's AlexNet, which transformed the field of artificial intelligence," write the Museum organizers in the readme file on GitHub. Krizhevsky's creation would lead to a flood of innovation in the ensuing years, and tons of capital, based on proof that with sufficient data and computing, neural networks could achieve breakthroughs previously viewed as mainly theoretical. The Computer History Museum's software historian, Hansen Hsu, published an essay describing how he spent five years negotiating with Google to release the code.

An anonymous reader quotes a report from Bloomberg: Jack Ma-backed Ant Group used Chinese-made semiconductors to develop techniques for training AI models that would cut costs by 20%, according to people familiar with the matter. Ant used domestic chips, including from affiliate Alibaba and Huawei, to train models using the so-called Mixture of Experts machine learning approach, the people said. It got results similar to those from Nvidia chips like the H800, they said, asking not to be named as the information isn't public. Hangzhou-based Ant is still using Nvidia for AI development but is now relying mostly on alternatives including from Advanced Micro Devices and Chinese chips for its latest models, one of the people said.

The models mark Ant's entry into a race between Chinese and US companies that's accelerated since DeepSeek demonstrated how capable models can be trained for far less than the billions invested by OpenAI and Alphabet Inc.'s Google. It underscores how Chinese companies are trying to use local alternatives to the most advanced Nvidia semiconductors. While not the most advanced, the H800 is a relatively powerful processor and currently barred by the US from China. The company published a research paper this month that claimed its models at times outperformed Meta Platforms Inc. in certain benchmarks, which Bloomberg News hasn't independently verified. But if they work as advertised, Ant's platforms could mark another step forward for Chinese artificial intelligence development by slashing the cost of inferencing or supporting AI services.

Google has confirmed that a technical issue has permanently deleted location history data for numerous users of its Maps application, with no recovery possible for most affected customers. The problem emerged after Google transitioned its Timeline feature from cloud to on-device storage in 2024 to enhance privacy protections. Users began reporting missing historical location data on support forums and social media platforms in recent weeks. "This is the result of a technical issue and not user error or an intentional change," said a Google spokesperson. Only users who manually enabled encrypted cloud backups before the incident can recover their data, according to Google. The company began shifting location storage policies in 2023, initially stopping collection of sensitive location data including visits to abortion clinics and domestic violence shelters.

"Italy is using its Piracy Shield law to go after Google," reports Ars Technica, "with a court ordering the Internet giant to immediately begin poisoning its public DNS servers" to prevent people from reaching pirate streams of football games.

"Italy's communication regulator praises the ruling and hopes to continue sticking it to international tech firms." Spotted by TorrentFreak, AGCOM Commissioner Massimiliano Capitanio took to LinkedIn to celebrate the ruling, as well as the existence of the Italian Piracy Shield. "The Judge confirmed the value of AGCOM's investigations, once again giving legitimacy to a system for the protection of copyright that is unique in the world," said Capitanio. Capitanio went on to complain that Google has routinely ignored AGCOM's listing of pirate sites, which are supposed to be blocked in 30 minutes or less under the law. He noted the violation was so clear-cut that the order was issued without giving Google a chance to respond, known as inaudita altera parte in Italian courts.

Founded in 1979, the Association for the Advancement of AI is an international scientific society. Recently 25 of its AI researchers surveyed 475 respondents in the AAAI community about "the trajectory of AI research" — and their results were surprising.

Futurism calls the results "a resounding rebuff to the tech industry's long-preferred method of achieving AI gains" — namely, adding more hardware: You can only throw so much money at a problem. This, more or less, is the line being taken by AI researchers in a recent survey. Asked whether "scaling up" current AI approaches could lead to achieving artificial general intelligence (AGI), or a general purpose AI that matches or surpasses human cognition, an overwhelming 76 percent of respondents said it was "unlikely" or "very unlikely" to succeed...

"The vast investments in scaling, unaccompanied by any comparable efforts to understand what was going on, always seemed to me to be misplaced," Stuart Russel, a computer scientist at UC Berkeley who helped organize the report, told New Scientist. "I think that, about a year ago, it started to become obvious to everyone that the benefits of scaling in the conventional sense had plateaued...." In November last year, reports indicated that OpenAI researchers discovered that the upcoming version of its GPT large language model displayed significantly less improvement, and in some cases, no improvements at all than previous versions did over their predecessors. In December, Google CEO Sundar Pichai went on the record as saying that easy AI gains were "over" — but confidently asserted that there was no reason the industry couldn't "just keep scaling up."

Cheaper, more efficient approaches are being explored. OpenAI has used a method known as test-time compute with its latest models, in which the AI spends more time to "think" before selecting the most promising solution. That achieved a performance boost that would've otherwise taken mountains of scaling to replicate, researchers claimed. But this approach is "unlikely to be a silver bullet," Arvind Narayanan, a computer scientist at Princeton University, told New Scientist.

Google has filed a lawsuit against alleged scammers who created and sold fake business profiles on Google Maps, the company said. The legal action follows an investigation that uncovered and eliminated more than 10,000 illegitimate listings.

The investigation began after a Texas business reported an unlicensed locksmith impersonating them on the platform. Google discovered the scams primarily targeted "duress verticals" -- services needed in urgent situations like locksmiths and towing companies. "Once we're alerted to the actual fraud, we take extreme efforts to identify similar fraudulent listings," said Halimah DeLaine Prado, Google's general counsel.

The scammers used tactics including bait-and-switch schemes and intercepting calls to legitimate businesses through "lead generation services." They also sold fraudulent positive reviews to suppress negative feedback.

European Central Bank Chief Economist Philip Lane warned that Europe must develop a digital euro to counter growing American influence over the continent's financial system [alternative source] amid escalating geopolitical tensions. Lane specifically cited Europe's "current dependence on US payment-card providers Visa and Mastercard, as well as technology companies including PayPal, Apple and Google" as a vulnerability requiring urgent action.

His comments come as President Donald Trump's administration promotes dollar-backed stablecoins worldwide as part of a broader cryptocurrency strategy, alarming European officials. ECB Governing Council member Francois Villeroy de Galhau recently cautioned that "the US risks bringing about the next financial emergency through its support of cryptocurrencies."

"The digital euro is not just about adapting to the digital age. It is about ensuring Europe controls its monetary and financial destiny," Lane told a conference in Ireland, noting that a digital currency would "limit the likelihood of foreign-currency stablecoins gaining a foothold" in Europe.

Google is introducing an AI-powered update to Gmail search that prioritizes "most relevant" results based on recency, frequent contacts, and most-clicked emails. The feature aims to help users more efficiently locate specific messages in crowded inboxes. The update is rolling out globally to personal Google accounts, with business accounts to follow at an unspecified date. Users will have the option to toggle between the new AI-powered "most relevant" search and the traditional reverse chronological "most recent" view.

Over the past two decades, school districts have spent billions equipping classrooms with laptops, yet students have fallen further behind on essential skills, Michael Bloomberg argues. With about 90% of schools now providing these devices, test scores hover near historic lows -- only 28% of eighth graders proficient in math and 30% in reading.

Bloomberg notes technology's classroom push came from technologists and government officials who envisioned tailored curricula. Computer manufacturers, despite good intentions, had financial interests and profited substantially. The Google executive who questioned why children should learn equations when they could Google answers might now ask why they should write essays when chatbots can do it for them.

Studies confirm traditional methods -- reading and writing on paper -- remain superior to screen-based approaches. Devices distract students, with research showing up to 20 minutes needed to refocus after nonacademic activities. As some districts ban smartphones during school hours, Bloomberg suggests reconsidering classroom computer policies, recommending locked carts for more purposeful use and greater transparency for parents about screen time. Technology's promise has failed while imposing significant costs on children and taxpayers, he writes. Bloomberg calls for a return to books and pens over laptops and tablets.

SourceHut, an open-source-friendly git-hosting service, says web crawlers for AI companies are slowing down services through their excessive demands for data. From a report: "SourceHut continues to face disruptions due to aggressive LLM crawlers," the biz reported Monday on its status page. "We are continuously working to deploy mitigations. We have deployed a number of mitigations which are keeping the problem contained for now. However, some of our mitigations may impact end-users."

SourceHut said it had deployed Nepenthes, a tar pit to catch web crawlers that scrape data primarily for training large language models, and noted that doing so might degrade access to some web pages for users. "We have unilaterally blocked several cloud providers, including GCP [Google Cloud] and [Microsoft] Azure, for the high volumes of bot traffic originating from their networks," the biz said, advising administrators of services that integrate with SourceHut to get in touch to arrange an exception to the blocking.

The rumors were right: Google parent Alphabet has agreed to buy cyber security start-up Wiz for $32 billion, the biggest acquisition in the search group's history. From the report: Alphabet held talks over a $23 billion acquisition of Wiz last year, although the negotiations collapsed after some of the cyber security company's directors and investors became worried about antitrust hurdles.

The deal, which will rank as the biggest deal of the year so far, was announced on Tuesday morning. It will probably still face scrutiny from the Federal Trade Commission under President Donald Trump, whose new chair Andrew Ferguson has maintained guidelines giving the agency the ability to block large deals used by his predecessor Lina Khan.

An anonymous reader quotes a report from Variety: More than 400 Hollywood creative leaders signed an open letter to the Trump White House's Office of Science and Technology Policy, urging the administration to not roll back copyright protections at the behest of AI companies. The filmmakers, writers, actors, musicians and others -- which included Ben Stiller, Mark Ruffalo, Cynthia Erivo, Cate Blanchett, Cord Jefferson, Paul McCartney, Ron Howard and Taika Waititi -- were submitting comments for the Trump administration's U.S. AI Action Plan. The letter specifically was penned in response to recent submissions to the Office of Science and Technology Policy from OpenAI and Google, which asserted that U.S. copyright law allows (or should allow) allow AI companies to train their system on copyrighted works without obtaining permission from (or compensating) rights holders.

"We firmly believe that America's global AI leadership must not come at the expense of our essential creative industries," the letter says in part. The letter claims that "AI companies are asking to undermine this economic and cultural strength by weakening copyright protections for the films, television series, artworks, writing, music and voices used to train AI models at the core of multibillion-dollar corporate valuations." [...] The letter says Google and OpenAI "are arguing for a special government exemption so they can freely exploit America's creative and knowledge industries, despite their substantial revenues and available funds. There is no reason to weaken or eliminate the copyright protections that have helped America flourish." You can read the full statement and list of signatories here.

The letter was issued in response to recent submissions from OpenAI (PDF) and Google (PDF) claiming that U.S. law allows, or should allow, AI companies to train their programs on copyrighted works under the fair use legal doctrine.

According to The Verge, legacy G Suite accounts will soon lose their individual storage allotment perks and be transitioned to pooled storage, which will be "shared across all users within your organization." The changes will come into effect starting May 1st. From the report: G Suite was rebranded as Workspace in 2020. G Suite legacy free edition, which Google stopped offering in 2012, provides each user with 15GB of free allocated storage and was offered for personal use -- making it ideal for families or groups that need to share a collective domain. Existing users have been permitted to access Workspace services at no additional charge, but Google says it's now making this change because pooled storage provides a "simpler and more flexible way to manage storage." "Google Workspace customers have had the benefit of pooled storage for years, and now we're rolling it out to users with this legacy offering," Google spokesperson Jenny Thomson told The Verge.

No action is required for the switch according to Google, and users cannot opt out of the pooled storage transition. The total amount of storage allocated to the entire G Suite account won't be reduced, but if more storage is required then it can be purchased "at a discount" starting at increments of 100GB, which typically costs $15. Google hasn't specified how large this discount will be. Storage limitations can still be set for each user within the G Suite account after the transition to prevent the collective storage pool from being hogged by individual users. These limits will have to be manually assigned by an account admin, however.