Google's Android Earthquake Alerts System, initially launched in 2020, is now available in all 50 U.S. states and 6 territories. Droid Life reports: For users in California, Oregon and Washington, users will continue to have their alerts powered by the ShakeAlert system, utilizing traditional seismometers to detect earthquakes. For all out states and supported territories, "this expansion uses the built-in accelerometers in Android phones to bring another layer of preparedness and potentially life-saving information to people across every state," the company explained in a blog post.

Using the accelerometer to sense vibrations and an apparent earthquake, the system quickly analyzes the crowdsourced data to determine if an earthquake is occurring. Google says it has been working with many experts to continue the system's improvement. Depending on the severity of the earthquake, you'll get two types of notifications. A little pop up on your screen if it's pretty weak with light shaking or a complete screen takeover for moderate to extreme shaking. These are called Take Action alerts, complete with the classic drop, cover, and hold instructions.

An anonymous reader quotes a report from Ars Technica: Last month, Google's GameNGen AI model showed that generalized image diffusion techniques can be used to generate a passable, playable version of Doom. Now, researchers are using some similar techniques with a model called MarioVGG to see if an AI model can generate plausible video of Super Mario Bros. in response to user inputs. The results of the MarioVGG model -- available as a pre-print paper (PDF) published by the crypto-adjacent AI company Virtuals Protocol -- still display a lot of apparent glitches, and it's too slow for anything approaching real-time gameplay at the moment. But the results show how even a limited model can infer some impressive physics and gameplay dynamics just from studying a bit of video and input data. The researchers hope this represents a first step toward "producing and demonstrating a reliable and controllable video game generator," or possibly even "replacing game development and game engines completely using video generation models" in the future.

After an initial euphoric rush to the cloud, admins are questioning the value and promise of the tech giant's services. The Register: According to a report published by UK cloud outfit Civo, more than a third of organizations surveyed reckoned that their move to the cloud had failed to live up to promises of cost-effectiveness. Over half reported a rise in their cloud bill. Although the survey, unsurprisingly, paints Civo in a flattering light, some of its figures may make uncomfortable reading for customers sold on the promises from hyperscalers. Like-for-like comparisons for a simple three-node cluster with 200 GB of persistent storage and a 5 TB data transfer showed prices going from $1,278.58 in 2022 to $1,458.68 in 2024 on Microsoft Azure.

For Google, the price went from $1,107.61 to $1,250.35. According to Civo's figures, the cost at AWS increased from $1,142.46 to $1,234.59. "The Kubernetes prices were taken from the hyperscalers' very own pricing calculators," a Civo spokesperson told The Register. In the IT world, there is an expectation that bang for buck increases as time goes by, but in this example, prices are rising faster than the rate of inflation, and what customers receive for their money remains unchanged.

Firefox 130 introduces several enhancements, including improved local translation handling, better Android page load performance, and the WebCodecs API for low-level audio/video processing on desktop platforms. Notably, it also supports third-party AI chatbots like ChatGPT and Google Gemini via the new Firefox Labs feature. Phoronix reports: The WebCodecs API is particularly useful for web-based apps like video/audio editors and video conferencing that may want control over individual frames of a video stream or audio chunks. For any web software interested in that low-level audio/video encode/decode handling there is now WebCodecs API working on the Firefox desktop builds. As for the third-party AI chatbots, here's what Mozilla's Ian Carmichael said back in June: "If you want to use AI, we think you should have the freedom to use (or not use) the tools that best suit your needs. Instead of juggling between tabs or apps for assistance, those who opt-in will have the option to access their preferred AI service from the Firefox sidebar to summarize information, simplify language, or test their knowledge, all without leaving their current web page."

You can learn more about Firefox 130 via developer.mozilla.org. Binaries for Linux can be found at Mozilla.org.

Intel's slumping share price could cost it a spot in the Dow Jones Industrial Average. Reuters reports: Analysts and investors said Intel was likely to be removed from the Dow, pointing to a near 60% decline in the company's shares this year that has made it the worst performer on the index and left it with the lowest stock price on the price-weighted Dow. The chipmaker's shares slid about 7% on Tuesday amid a broader market selloff, with the Philadelphia SE Semiconductor index (.SOX) down nearly 6%, following reports of lower chip sales globally in July.

A removal from the index will hurt Intel's already bruised reputation. The company has missed out on the artificial intelligence boom after passing on an OpenAI investment and losses are mounting at the contract manufacturing unit that the chipmaker has been building out in hopes of challenging TSMC. To fund a turnaround, Intel suspended dividend and announced layoffs affecting 15% of its workforce during its earnings report last month. But some analysts and a former board member believe the moves might be too little, too late for the chipmaker.

Google has released Android 15 for developers, with support for Pixel phones expected in the coming weeks. The update will roll out to compatible devices from Samsung, Motorola, OnePlus, and other manufacturers in the following months.

Key features of Android 15 include single-tap passkeys, theft detection, improved multitasking for large-screen devices, and app access limitations. The update also enhances TalkBack, Android's screen reader, with Gemini AI integration for audio descriptions of images. Google is expanding its Circle to Search feature with song identification capabilities and extending earthquake alerts to all U.S. states and six territories. The alerts use data from Android devices' accelerometers to detect potential seismic activity, complementing traditional seismometer readings in states with access to the USGS ShakeAlert system.

Efforts to add Rust code to the Linux kernel has suffered a setback as one of the maintainers of the Rust for Linux project has stepped down -- citing frustration with "nontechnical nonsense," according to The Register: Wedson Almeida Filho, a software engineer at Microsoft who has overseen the Rust for Linux project, announced his resignation in a message to the Linux kernel development mailing list. "I am retiring from the project," Filho declared. "After almost four years, I find myself lacking the energy and enthusiasm I once had to respond to some of the nontechnical nonsense, so it's best to leave it up to those who still have it in them."

[...] Memory safety bugs are regularly cited as the major source of serious software vulnerabilities by organizations overseeing large projects written in C and C++. So in recent years there's been a concerted push from large developers like Microsoft and Google, as well as from government entities like the US Cybersecurity and Infrastructure Security Agency, to use memory-safe programming languages -- among them Rust. Discussions about adding Rust to Linux date back to 2020 and were realized in late 2022 with the release of Linux 6.1. "I truly believe the future of kernels is with memory-safe languages," Filho's note continued. "I am no visionary but if Linux doesn't internalize this, I'm afraid some other kernel will do to it what it did to Unix."

Google executive James Manyika has warned that AI's impact on productivity is not guaranteed [Editor's note: the link may be paywalled], despite predictions of trillion-dollar economic potential. From the report: "Right now, everyone from my old colleagues at McKinsey Global Institute to Goldman Sachs are putting out these extraordinary economic potential numbers -- in the trillions -- [but] it's going to take a whole bunch of actions, innovations, investments, even enabling policy ...The productivity gains are not guaranteed. They're going to take a lot of work." In 1987 economist Robert Solow remarked that the computer age was visible everywhere except in the productivity statistics. "We could have a version of that -- where we see this technology everywhere, on our phones, in all these chatbots, but it's done nothing to transform the economy in that real fundamental way."

The use of generative AI to draft software code is not enough. "In the US, the tech sector is about 4 per cent of the labour force. Even if the entire tech sector adopted it 100 per cent, it doesn't matter from a labour productivity standpoint." Instead the answer lies with "very large sectors" such as healthcare and retail. Former British prime minister Sir Tony Blair has said that people "will have an AI nurse, probably an AI doctor, just as you'll have an AI tutor." Manyika is less dramatic: "In most of those cases, those professions will be assisted by AI. I don't think any of those occupations are going to be replaced by AI, not in any conceivable future."

Casey Newton, former senior editor at the Verge, weighs in on Platformer about the arrest of Telegram CEO Pavel Durov.

"Fending off onerous speech regulations and overzealous prosecutors requires that platform builders act responsibly. Telegram never even pretended to." Officially, Telegram's terms of service prohibit users from posting illegal pornographic content or promotions of violence on public channels. But as the Stanford Internet Observatory noted last year in an analysis of how CSAM spreads online, these terms implicitly permit users who share CSAM in private channels as much as they want to. "There's illegal content on Telegram. How do I take it down?" asks a question on Telegram's FAQ page. The company declares that it will not intervene in any circumstances: "All Telegram chats and group chats are private amongst their participants," it states. "We do not process any requests related to them...."

Telegram can look at the contents of private messages, making it vulnerable to law enforcement requests for that data. Anticipating these requests, Telegram created a kind of jurisdictional obstacle course for law enforcement that (it says) none of them have successfully navigated so far. From the FAQ again:

To protect the data that is not covered by end-to-end encryption, Telegram uses a distributed infrastructure. Cloud chat data is stored in multiple data centers around the globe that are controlled by different legal entities spread across different jurisdictions. The relevant decryption keys are split into parts and are never kept in the same place as the data they protect. As a result, several court orders from different jurisdictions are required to force us to give up any data. [...] To this day, we have disclosed 0 bytes of user data to third parties, including governments.

As a result, investigation after investigation finds that Telegram is a significant vector for the spread of CSAM.... The company's refusal to answer almost any law enforcement request, no matter how dire, has enabled some truly vile behavior. "Telegram is another level," Brian Fishman, Meta's former anti-terrorism chief, wrote in a post on Threads. "It has been the key hub for ISIS for a decade. It tolerates CSAM. Its ignored reasonable [law enforcement] engagement for YEARS. It's not 'light' content moderation; it's a different approach entirely.
The article asks whether France's action "will embolden countries around the world to prosecute platform CEOs criminally for failing to turn over user data." On the other hand, Telegram really does seem to be actively enabling a staggering amount of abuse. And while it's disturbing to see state power used indiscriminately to snoop on private conversations, it's equally disturbing to see a private company declare itself to be above the law.

Given its behavior, a legal intervention into Telegram's business practices was inevitable. But the end of private conversation, and end-to-end encryption, need not be.

"Dirk Hohndel, a Linux kernel developer and long-time open source leader, wanted his audience at KubeCon + CloudNativeCon + Open Source Summit China 2024 Summit China to know he's not a Valkey developer," writes Steven J. Vaughan-Nichols. "He's a Valkey user and fan." [Hohndel] opened his speech by recalling how the open source, high-performance key/value datastore Valkey had been forked from Redis... Hohndel emphasized that "forks are good. Forks are one of the key things that open source licenses are for. So, if the maintainer starts doing things you don't like, you can fork the code under the same license and do better..." In this case, though, Redis had done a "bait-and-switch" with the Redis code, Hohndale argued. This was because they had made an all-too-common business failure: They hadn't realized that "open source is not a business model...."

While the licensing change is what prompted the fork, Hohndel sees leadership and technical reasons why the Valkey fork is likely to succeed. First, two-thirds of the formerly top Redis maintainers and developers have switched to Valkey. In addition, AWS, Google Cloud, and Oracle, under the Linux Foundation's auspices, all support Valkey. When both the technical and money people agree, good things can happen.

The other reason is that Valkey already looks like it will be the better technical choice. That's because the recently announced Valkey 8.0, which builds upon the last open source version of Redis, 7.2.4, introduces serious speed improvements and new features that Redis users have wanted for some time. As [AWS principal engineer Madelyn] Olson said at Open Source Summit North America earlier this year, "Redis really didn't want to break anything." Valkey wants to move a bit faster. How much faster? A lot. Valkey 8.0 overhauls Redis's single-threaded event loop threading model with a more sophisticated multithreaded approach to I/O operations. Hohndel reported that on his small Valkey-powered aircraft tracking system, "I see roughly a threefold improvement in performance, and I stream a lot of data, 60 million data points a day."
The article notes that Valkey is already being supported by major Linux distros including AlmaLinux, Fedora, and Alpine.

CSO Online reports that North Korea "is actively infiltrating Western companies using skilled IT workers who use fake identities to pose as remote workers with foreign companies, typically but not exclusively in the U.S."

Slashdot reader snydeq shares their report, which urges information security officers "to carry out tighter vetting of new hires to ward off potential 'moles' — who are increasingly finding their way onto company payrolls and into their IT systems." The schemes are part of illicit revenue generation efforts by the North Korean regime, which faces financial sanctions over its nuclear weapons program, as well as a component of the country's cyberespionage activities.

The U.S. Treasury department first warned about the tactic in 2022. Thosands of highly skilled IT workers are taking advantage of the demand for software developers to obtain freelance contracts from clients around the world, including in North America, Europe, and East Asia. "Although DPRK [North Korean] IT workers normally engage in IT work distinct from malicious cyber activity, they have used the privileged access gained as contractors to enable the DPRK's malicious cyber intrusions," the Treasury department warned... North Korean IT workers present themselves as South Korean, Chinese, Japanese, or Eastern European, and as U.S.-based teleworkers. In some cases, DPRK IT workers further obfuscate their identities by creating arrangements with third-party subcontractors.

Christina Chapman, a resident of Arizona, faces fraud charges over an elaborate scheme that allegedly allowed North Korean IT workers to pose as U.S. citizens and residents using stolen identities to obtain jobs at more than 300 U.S. companies. U.S. payment platforms and online job site accounts were abused to secure jobs at more than 300 companies, including a major TV network, a car manufacturer, a Silicon Valley technology firm, and an aerospace company... According to a U.S. Department of Justice indictment, unsealed in May 2024, Chapman ran a "laptop farm," hosting the overseas IT workers' computers inside her home so it appeared that the computers were located in the U.S. The 49-year-old received and forged payroll checks, and she laundered direct debit payments for salaries through bank accounts under her control. Many of the overseas workers in her cell were from North Korea, according to prosecutors. An estimated $6.8 million were paid for the work, much of which was falsely reported to tax authorities under the name of 60 real U.S. citizens whose identities were either stolen or borrowed...

Ukrainian national Oleksandr Didenko, 27, of Kyiv, was separately charged over a years-long scheme to create fake accounts at U.S. IT job search platforms and with U.S.-based money service transmitters. "Didenko sold the accounts to overseas IT workers, some of whom he believed were North Korean, and the overseas IT workers used the false identities to apply for jobs with unsuspecting companies," according to the U.S. Department of Justice. Didenko, who was arrested in Poland in May, faces U.S. extradition proceedings...

How this type of malfeasance plays out from the perspective of a targeted firm was revealed by security awareness vendor KnowBe4's candid admission in July that it unknowingly hired a North Korean IT spy... A growing and substantial body of evidence suggests KnowBe4 is but one of many organizations targeted by illicit North Korean IT workers. Last November security vendor Palo Alto reported that North Korean threat actors are actively seeking employment with organizations based in the U.S. and other parts of the world...

Mandiant, the Google-owned threat intel firm, reported last year that "thousands of highly skilled IT workers from North Korea" are hunting work. More recently, CrowdStrike reported that a North Korean group it dubbed "Famous Chollima" infiltrated more than 100 companies with imposter IT pros.
The article notes the infiltrators use chatbots to tailor the perfect resume "and further leverage AI-created deepfakes to pose as real people." And the article includes this quote from a former intelligence analyst for the U.S. Air Force turned cybersecurity strategist at Sysdig. "In some cases, they may try to get jobs at tech companies in order to steal their intellectual property before using it to create their own knock-off technologies."

The article closes with its suggested "countermeasures," including live video-chats with prospective remote-work applicants — and confirming an applicant's home address.

The Google Play Store is now rolling out support for downloading up to three Android app updates simultaneously, addressing a long-standing limitation where apps could only be downloaded one at a time. 9to5Google reports: We're seeing simultaneous app update downloads working in the Google Play Store today across multiple devices, and a few of our readers are seeing the same behavior this week as well. It's unclear if this is a server-side change on Google's part or an update to the Play Store itself, but the functionality is much appreciated. As far as we can tell, you can download up to three app updates at once through the Play Store. The apps will start to download, with only anything beyond three showing the "Pending" status that we're all so used to seeing in the Play Store. This matches the App Store on iOS which can also download up to three apps at once. The same limit of three also now applies to new app installs, which was previously limited to two at a time.

A new AI model being developed by Google could make diagnosing tuberculosis and other respiratory ailments as easy as recording a voice note. From a report: Google is training one of its foundational AI models to listen for signs of disease using sound signals, like coughing, sneezing, and sniffling. This tech, which would work using people's smartphone microphones, could revolutionize diagnoses for communities where advanced diagnostic tools are difficult to come by.

The tech giant is collaborating with Indian respiratory health care AI startup, Salcit Technologies. The tech, which was introduced earlier this year as Health Acoustic Representations, or HeAR, is what's known as a bioacoustic foundation model. HeAR was then trained on 300 million pieces of audio data, including 100 million cough sounds, to learn to pick out patterns in the sounds. Salcit is then using this AI model, in combination with its own product Swaasa, which uses AI to analyze cough sounds and assess lung health, to help research and improve early detection of TB based solely on cough sounds.

A recent indictment (PDF) of an Alaska man stands out due to the sophisticated use of multiple encrypted communication tools, privacy-focused apps, and dark web technology. "I've never seen anyone who, when arrested, had three Samsung Galaxy phones filled with 'tens of thousands of videos and images' depicting CSAM, all of it hidden behind a secrecy-focused, password-protected app called 'Calculator Photo Vault,'" writes Ars Technica's Nate Anderson. "Nor have I seen anyone arrested for CSAM having used all of the following: [Potato Chat, Enigma, nandbox, Telegram, TOR, Mega NZ, and web-based generative AI tools/chatbots]." An anonymous reader shares the report: According to the government, Seth Herrera not only used all of these tools to store and download CSAM, but he also created his own -- and in two disturbing varieties. First, he allegedly recorded nude minor children himself and later "zoomed in on and enhanced those images using AI-powered technology." Secondly, he took this imagery he had created and then "turned to AI chatbots to ensure these minor victims would be depicted as if they had engaged in the type of sexual contact he wanted to see." In other words, he created fake AI CSAM -- but using imagery of real kids.

The material was allegedly stored behind password protection on his phone(s) but also on Mega and on Telegram, where Herrera is said to have "created his own public Telegram group to store his CSAM." He also joined "multiple CSAM-related Enigma groups" and frequented dark websites with taglines like "The Only Child Porn Site you need!" Despite all the precautions, Herrera's home was searched and his phones were seized by Homeland Security Investigations; he was eventually arrested on August 23. In a court filing that day, a government attorney noted that Herrera "was arrested this morning with another smartphone -- the same make and model as one of his previously seized devices."

The government is cagey about how, exactly, this criminal activity was unearthed, noting only that Herrera "tried to access a link containing apparent CSAM." Presumably, this "apparent" CSAM was a government honeypot file or web-based redirect that logged the IP address and any other relevant information of anyone who clicked on it. In the end, given that fatal click, none of the "I'll hide it behind an encrypted app that looks like a calculator!" technical sophistication accomplished much. Forensic reviews of Herrera's three phones now form the primary basis for the charges against him, and Herrera himself allegedly "admitted to seeing CSAM online for the past year and a half" in an interview with the feds.

Google says it has evidence that Russian government hackers are using exploits that are "identical or strikingly similar" to those previously made by spyware makers Intellexa and NSO Group. From a report: In a blog post on Thursday, Google said it is not sure how the Russian government acquired the exploits, but said this is an example of how exploits developed by spyware makers can end up in the hands of "dangerous threat actors." In this case, Google says the threat actors are APT29, a group of hackers widely attributed to Russia's Foreign Intelligence Service, or the SVR. APT29 is a highly capable group of hackers, known for its long-running and persistent campaigns aimed at conducting espionage and data theft against a range of targets, including tech giants Microsoft and SolarWinds, as well as foreign governments.

Google said it found the hidden exploit code embedded on Mongolian government websites between November 2023 and July 2024. During this time, anyone who visited these sites using an iPhone or Android device could have had their phone hacked and data stolen, including passwords, in what is known as a "watering hole" attack. The exploits took advantage of vulnerabilities in the iPhone's Safari browser and Google Chrome on Android that had already been fixed at the time of the suspected Russian campaign. Still, those exploits nevertheless could be effective in compromising unpatched devices.

Yelp has filed an antitrust lawsuit against Google, accusing the search giant of maintaining its local search monopoly by preferencing its own services over competitors, harming competition and reducing quality. "Yelp claims that the way Google directs users toward its own local search vertical from its general search engine results page should be considered illegal tying of separate products to keep rivals from reaching scale," adds The Verge. From the report: Yelp wants the court to order Google to stop the allegedly anticompetitive conduct and to pay it damages. It demanded a jury trial and filed the suit in the Northern District of California, where a different jury found that Google had an illegal monopoly through its app store in its fight against Epic Games.

The company was emboldened to bring its own lawsuit against Google after the DOJ's win in its antitrust case about the company's allegedly exclusionary practices around the distribution of search services. Yelp CEO Jeremy Stoppelman told The New York Times that following that decision, "the winds on antitrust have shifted dramatically." Previously, he told the Times, he'd hesitated to bring a suit because of the resources it would require and because he saw it as the government's job to enforce the antitrust laws. "Yelp's claims are not new," Google spokesperson Peter Schottenfels said in a statement. "Similar claims were thrown out years ago by the FTC, and recently by the judge in the DOJ's case. On the other aspects of the decision to which Yelp refers, we are appealing. Google will vigorously defend against Yelp's meritless claims."

Google announced that it will reintroduce AI image generation capabilities through its Gemini tool, with early access to the new Imagen 3 generator available for select users in the coming days. The company pulled the feature shortly after it launched in February when users discovered historical inaccuracies and questionable responses. CNBC reports: "We've worked to make technical improvements to the product, as well as improved evaluation sets, red-teaming exercises and clear product principles," [wrote Dave Citron, a senior director of product on Gemini, in a blog post]. Red-teaming refers to a practice companies use to test products for vulnerabilities.

Citron said Imagen 3 doesn't support photorealistic identifiable individuals, depictions of minors or excessively gory, violent or sexual scenes. "Of course, as with any generative AI tool, not every image Gemini creates will be perfect, but we'll continue to listen to feedback from early users as we keep improving," Citron wrote. "We'll gradually roll this out, aiming to bring it to more users and languages soon."

An anonymous reader quotes a report from Ars Technica: The Open Source Initiative (OSI) recently unveiled its latest draft definition for "open source AI," aiming to clarify the ambiguous use of the term in the fast-moving field. The move comes as some companies like Meta release trained AI language model weights and code with usage restrictions while using the "open source" label. This has sparked intense debates among free-software advocates about what truly constitutes "open source" in the context of AI. For instance, Meta's Llama 3 model, while freely available, doesn't meet the traditional open source criteria as defined by the OSI for software because it imposes license restrictions on usage due to company size or what type of content is produced with the model. The AI image generator Flux is another "open" model that is not truly open source. Because of this type of ambiguity, we've typically described AI models that include code or weights with restrictions or lack accompanying training data with alternative terms like "open-weights" or "source-available."

To address the issue formally, the OSI -- which is well-known for its advocacy for open software standards -- has assembled a group of about 70 participants, including researchers, lawyers, policymakers, and activists. Representatives from major tech companies like Meta, Google, and Amazon also joined the effort. The group's current draft (version 0.0.9) definition of open source AI emphasizes "four fundamental freedoms" reminiscent of those defining free software: giving users of the AI system permission to use it for any purpose without permission, study how it works, modify it for any purpose, and share with or without modifications. [...] OSI's project timeline indicates that a stable version of the "open source AI" definition is expected to be announced in October at the All Things Open 2024 event in Raleigh, North Carolina.

Dozens of former AI researchers from Google who struck out on their own are learning that startups are tricky. The Information: The latest example is French AI agent developer H, which lost three of its five cofounders (four of whom are ex-Googlers) just months after announcing they had raised $220 million from investors in a "seed" round, as our colleagues reported Friday. The founders had "operational and business disagreements," one of them told us.

The drama at H follows the quasi-acquisitions of Inflection, Adept and Character, which were each less than three years old and founded mostly by ex-Google AI researchers. Reka, another AI developer in this category, was in talks to be acquired by Snowflake earlier this year. Those talks, which could have valued the company at $1 billion, fell apart in May. AI image developer Ideogram, also cofounded by four ex-Googlers, has spoken with at least one later-stage tech startup about potential sale opportunities, though the talks didn't seem to go anywhere, according to someone involved in the discussions.

Cohere, whose CEO co-authored a seminal Google research paper about transformers with Noam Shazeer, the ex-CEO of Character, has also faced growing questions about its relatively meager revenue compared to its rivals. For now, though, it has a lot of money in the bank. Has someone put a curse on startups founded by ex-Google AI researchers?

An anonymous reader shares a report: OpenAI lacks advanced security and customer support. It's just a research company, not an established cloud provider. The ChatGPT-maker is not focused enough on corporate customers. These are just some of the talking points Amazon Web Services' salespeople are told to follow when dealing with customers using, or close to buying, OpenAI's products, according to internal sales guidelines obtained by Business Insider. Other talking points from the documents include OpenAI's lack of access to third-party AI models and weak enterprise-level contracts. AWS salespeople should dispel the hype around AI chatbots like ChatGPT, and steer the conversation toward AWS's strength of running the cloud infrastructure behind popular AI services, the guidelines added.

[...] The effort to criticize OpenAI is also unusual for Amazon, which often says it's so customer-obsessed that it pays little attention to competitors. This is the latest sign that suggests Amazon knows it has work to do to catch up in the AI race. OpenAI, Microsoft, and Google have taken an early lead and could become the main platforms where developers build new AI products and tools. Though Amazon created a new AGI team last year, the company's existing AI models are considered less powerful than those made by its biggest competitors. Instead, Amazon has prioritized selling AI tools like Bedrock, which gives customers access to third-party AI models. AWS also offers cloud access to in-house AI chips that compete with Nvidia GPUs, with mixed results so far.