A lawsuit is alleging Amazon was so desperate to keep up with the competition in generative AI it was willing to breach its own copyright rules. From a report: The allegation emerges from a complaint accusing the tech and retail mega-corp of demoting, and then dismissing, a former high-flying AI scientist after it discovered she was pregnant. The lawsuit was filed last week in a Los Angeles state court by Dr Viviane Ghaderi, an AI researcher who says she worked successfully in Amazon's Alexa and LLM teams, and achieved a string of promotions, but claims she was later suddenly demoted and fired following her return to work after giving birth. She is alleging discrimination, retaliation, harassment and wrongful termination, among other claims.

An anonymous reader shares a report: For years, people who have found Google search frustrating have been adding "Reddit" to the end of their search queries. This practice is so common that Google even acknowledged the phenomenon in a post announcing that it will be scraping Reddit posts to train its AI. And so, naturally, there are now services that will poison Reddit threads with AI-generated posts designed to promote products.

A service called ReplyGuy advertises itself as "the AI that plugs your product on Reddit" and which automatically "mentions your product in conversations naturally." Examples on the site show two different Redditors being controlled by AI posting plugs for a text-to-voice product called "AnySpeech" and a bot writing a long comment about a debt consolidation program called Debt Freedom Now. A video demo shows a dashboard where a user adds the name of their company and URL they want to direct users to. It then auto-suggests keywords that "help the bot know what types of subreddits and tweets to look for and when to respond."

Moments later, the dashboard shows how Reply Guy is "already in the responses" of the comments section of different Reddit posts. "Many of our responses will get lots of upvotes and will be well-liked." The creator of the company, Alexander Belogubov, has also posted screenshots of other bot-controlled accounts responding all over Reddit. Begolubov has another startup called "Stealth Marketing" that also seeks to manipulate the platform by promising to "turn Reddit into a steady stream of customers for your startup."

prisoninmate writes: Fedora Linux 40 distribution has been officially released -- powered by the latest Linux 6.8 kernel series, and featuring the GNOME 46 and KDE Plasma 6 desktop environments, reports 9to5Linux:

"Powered by the latest and greatest Linux 6.8 kernel series, the Fedora Linux 40 release ships with the GNOME 46 desktop environment for the flagship Fedora Workstation edition and the KDE Plasma 6 desktop environment for the Fedora KDE Spin, which defaults to the Wayland session as the X11 session was completely removed."

"Fedora Linux 40 also includes some interesting package management changes, such as dropping Delta RPMs and disabling support in the default configuration of DNF / DNF5. It also changes the DNF behavior to no longer download filelists by default. However, this release doesn't ship with the long-awaited DNF5 package manager. For AMD GPUs, Fedora Linux 40 ships with AMD ROCm 6.0 as the latest release of AMD's software optimized for AI and HPC workload performance, which enables support for the newest flagship AMD Instinct MI300A and MI300X datacenter GPUs."

Microsoft has launched Phi-3 Mini, a lightweight AI model with 3.8 billion parameters, as part of its plan to release three small models. Phi-3 Mini, trained on a smaller data set compared to large language models, is available on Azure, Hugging Face, and Ollama. Microsoft claims Phi-3 Mini performs as well as models 10 times its size, offering capabilities similar to GPT-3.5 in a smaller form factor. Smaller AI models are more cost-effective and perform better on personal devices.

According to French business magazine Challenges, Apple has acquired Datakalab -- a Paris-based startup specializing in artificial intelligence compression and computer vision technology. 9to5Mac reports: Datakalab described itself as "experts in low power, runtime efficient, and deep learning algorithms" that work on device. On its LinkedIn page, Datakalab highlights "industry leading compression and adaptation to deploy embedded computer vision that is fast, cost-effective and precise." Prior to the Apple acquisition had between 10 and 20 employees.

From Datakalab's now-defunct website: "Datakalab is a French technology company that develops computer image analysis algorithms to measure flows in public space. The images are instantly transformed into anonymized statistical data processed locally in 100ms. Datakalab does not store any images or personal data and only keeps statistical data. Datakalab products are built according to the principle of 'Privacy by Design.'"

While neither Apple nor DatakaLab have acknowledged the acquisition, Challenges says that the deal was reported to the European Commission this month. The report says that Datakalab's two founders did not join Apple, but multiple other employees did make the jump. Datakalab also held multiple patents related to AI compression and vision technology. The acquisition makes perfect sense given Apple's rumored ambitions to run its upcoming AI-related features in iOS 18 "entirely on device."

An anonymous reader shares a report: To accommodate tech companies' pivots to artificial intelligence, tech companies are increasingly investing in ways to power AI's immense electricity needs. Most recently, OpenAI CEO Sam Altman invested in Exowatt, a company using solar power to feed data centers, according to the Wall Street Journal. That's on the heals of OpenAI partner, Microsoft, working on getting approval for nuclear energy to help power its AI operations. Last year Amazon, which is a major investor in AI company Anthropic, said it invested in more than 100 renewable energy projects, making it the "world's largest corporate purchaser of renewable energy for the fourth year in a row."

Long-time Slashdot reader tippen shared this report from the Register: AI agents, which combine large language models with automation software, can successfully exploit real world security vulnerabilities by reading security advisories, academics have claimed.

In a newly released paper, four University of Illinois Urbana-Champaign (UIUC) computer scientists — Richard Fang, Rohan Bindu, Akul Gupta, and Daniel Kang — report that OpenAI's GPT-4 large language model (LLM) can autonomously exploit vulnerabilities in real-world systems if given a CVE advisory describing the flaw. "To show this, we collected a dataset of 15 one-day vulnerabilities that include ones categorized as critical severity in the CVE description," the US-based authors explain in their paper. "When given the CVE description, GPT-4 is capable of exploiting 87 percent of these vulnerabilities compared to 0 percent for every other model we test (GPT-3.5, open-source LLMs) and open-source vulnerability scanners (ZAP and Metasploit)...."

The researchers' work builds upon prior findings that LLMs can be used to automate attacks on websites in a sandboxed environment. GPT-4, said Daniel Kang, assistant professor at UIUC, in an email to The Register, "can actually autonomously carry out the steps to perform certain exploits that open-source vulnerability scanners cannot find (at the time of writing)."
The researchers wrote that "Our vulnerabilities span website vulnerabilities, container vulnerabilities, and vulnerable Python packages. Over half are categorized as 'high' or 'critical' severity by the CVE description...."

"Kang and his colleagues computed the cost to conduct a successful LLM agent attack and came up with a figure of $8.80 per exploit"

Remember when Apple filed a lawsuit against chip startup Rivos (saying that in one year Rivos hired more than 40 former Apple employees to work on competing system-on-a-chip technology)? Apple settled that suit in February.

And now Tuesday Rivos announced that it raised $250 million, according to Reuters, "in a funding round that will enable it to manufacture its first server chip geared for artificial intelligence," combining a CPU with an AI-accelerating component optimized for LLMs and data analytics. Nvidia gobbled up more than 80% market share of AI chips in 2023. But a host of startups and chip giants have started to launch competing products, such as Intel's Gaudi 3 and Meta's inference chip — both unveiled last week. Rivos is tight-lipped about the specifics of the product, but has disclosed that its plans include designing chips based on the RISC-V architecture, which is an open source alternative to the architectures made by Arm, Intel, and Advanced Micro Devices.. [U]sing the open source alternative means Rivos does not have to pay a license fee to Arm. "RISC-V doesn't have a (large) software ecosystem, so I decided to form a company and then build software-defined hardware — just like what CUDA did with Nvidia," said Lip-Bu Tan, founding managing partner at Walden Catalyst, one of Rivos' investors.
Meanwhile, there's a rumor that Allen Wu, former chief executive of Arm China, has founded a new company that will develop chips based on RISC-V. Tom's Hardware writes: Under the leadership of the controversial Allen Wu, Zhongzhi Chip is reportedly attracting a notable influx of talent, including numerous former employees of Arm, indicating the new company's serious ambitions in the chip sector... [T]he company's operational focus remains partially unclear, with speculation around whether it will primarily engage in its own R&D initiatives or represent Tenstorrent in China as its agent... which develops HPC CPUs and AI processors based on the RISC-V ISA... Based on the source report, Zhongzhi Chip is leveraging its connections and forming alliances with several other leading global RISC-V chip developers.

Earlier this week, Netflix found itself embroiled in an AI scandal when Futurism spotted AI-generated images used in the Netflix documentary What Jennifer Did.. The movie's credits do not mention any uses of AI, causing critics to call out the filmmakers for "potentially embellishing a movie that's supposed to be based on real-life events," reports Ars Technica. An executive producer of the Netflix hit acknowledged that some of the photos were edited to protect the identity of the source but remained vague about whether AI was used in the process. From the report: What Jennifer Did shot to the top spot in Netflix's global top 10 when it debuted in early April, attracting swarms of true crime fans who wanted to know more about why Pan paid hitmen $10,000 to murder her parents. But quickly the documentary became a source of controversy, as fans started noticing glaring flaws in images used in the movie, from weirdly mismatched earrings to her nose appearing to lack nostrils, the Daily Mail reported, in a post showing a plethora of examples of images from the film. [...]

Jeremy Grimaldi -- who is also the crime reporter who wrote a book on the case and provided the documentary with research and police footage -- told the Toronto Star that the images were not AI-generated. Grimaldi confirmed that all images of Pan used in the movie were real photos. He said that some of the images were edited, though, not to blur the lines between truth and fiction, but to protect the identity of the source of the images. "Any filmmaker will use different tools, like Photoshop, in films," Grimaldi told The Star. "The photos of Jennifer are real photos of her. The foreground is exactly her. The background has been anonymized to protect the source." While Grimaldi's comments provide some assurance that the photos are edited versions of real photos of Pan, they are also vague enough to obscure whether AI was among the "different tools" used to edit the photos.

Linus Torvalds, discussing the AI hype, in a conversation with Dirk Hohndel, Verizon's Head of the Open Source Program Office: Torvalds snarked, "It's hilarious to watch. Maybe I'll be replaced by an AI model!" As for Hohndel, he thinks most AI today is "autocorrect on steroids." Torvalds summed up his attitude as, "Let's wait 10 years and see where it actually goes before we make all these crazy announcements."

That's not to say the two men don't think AI will be helpful in the future. Indeed, Torvalds noted one good side effect already: "NVIDIA has gotten better at talking to Linux kernel developers and working with Linux memory management," because of its need for Linux to run AI's large language models (LLMs) efficiently.

Torvalds is also "looking forward to the tools actually to find bugs. We have a lot of tools, and we use them religiously, but making the tools smarter is not a bad thing. Using smarter tools is just the next inevitable step. We have tools that do kernel rewriting, with very complicated scripts, and pattern recognition. AI can be a huge help here because some of these tools are very hard to use because you have to specify things at a low enough level." Just be careful, Torvalds warns of "AI BS." Hohndel quickly quipped, "He meant beautiful science. You know, "Beautiful science in, beautiful science out."

Microsoft Research Asia earlier this week unveiled VASA-1, an AI model that can create a synchronized animated video of a person talking or singing from a single photo and an existing audio track. ArsTechnica: In the future, it could power virtual avatars that render locally and don't require video feeds -- or allow anyone with similar tools to take a photo of a person found online and make them appear to say whatever they want. "It paves the way for real-time engagements with lifelike avatars that emulate human conversational behaviors," reads the abstract of the accompanying research paper titled, "VASA-1: Lifelike Audio-Driven Talking Faces Generated in Real Time." It's the work of Sicheng Xu, Guojun Chen, Yu-Xiao Guo, Jiaolong Yang, Chong Li, Zhenyu Zang, Yizhong Zhang, Xin Tong, and Baining Guo.

The VASA framework (short for "Visual Affective Skills Animator") uses machine learning to analyze a static image along with a speech audio clip. It is then able to generate a realistic video with precise facial expressions, head movements, and lip-syncing to the audio. It does not clone or simulate voices (like other Microsoft research) but relies on an existing audio input that could be specially recorded or spoken for a particular purpose.

An anonymous reader shares a report: Today Meta unleashed its ChatGPT competitor, Meta AI, across its apps and as a standalone. The company boasts that it is running on its latest, greatest AI model, Llama 3, which was trained on "data of the highest quality"! A dataset seven times larger than Llama2! And includes 4 times more code! What is that training data? There the company is less loquacious.

Meta said the 15 trillion tokens on which its trained came from "publicly available sources." Which sources? Meta told The Verge that it didn't include Meta user data, but didn't give much more in the way of specifics. It did mention that it includes AI-generated data, or synthetic data: "we used Llama 2 to generate the training data for the text-quality classifiers that are powering Llama 3." There are plenty of known issues with synthetic or AI-created data, foremost of which is that it can exacerbate existing issues with AI, because it's liable to spit out a more concentrated version of any garbage it is ingesting.

Google, once known for its unconventional approach to business, has taken a decisive step towards becoming a more traditional company by firing 28 employees who participated in protests against a $1.2 billion contract with the Israeli government. The move comes after sit-in demonstrations on Tuesday at Google offices in Silicon Valley and New York City, where employees opposed the company's support for Project Nimbus, a cloud computing contract they argue harms Palestinians in Gaza. Nine employees were arrested during the protests.

In a note to employees, CEO Sundar Pichai said, "We have a culture of vibrant, open discussion... But ultimately we are a workplace and our policies and expectations are clear: this is a business, and not a place to act in a way that disrupts coworkers or makes them feel unsafe, to attempt to use the company as a personal platform, or to fight over disruptive issues or debate politics."

Google also says that the Project Nimbus contract is "not directed at highly sensitive, classified, or military workloads relevant to weapons or intelligence services."

Axios adds: Google prided itself from its early days on creating a university-like atmosphere for the elite engineers it hired. Dissent was encouraged in the belief that open discourse fostered innovation. "A lot of Google is organized around the fact that people still think they're in college when they work here," then-CEO Eric Schmidt told "In the Plex" author Steven Levy in the 2000s.

What worked for an organization with a few thousand employees is harder to maintain among nearly 200,000 workers. Generational shifts in political and social expectations also mean that Google's leadership and its rank-and-file aren't always aligned.

An anonymous reader quotes a report from Business Insider: If you think you've been seeing an awful lot more Reddit results lately when you search on Google, you're not imagining things. The internet is in upheaval, and for website owners the rules of "winning" Google Search have never been murkier. Google's generative AI search engine is coming from one direction. It's creeping closer to mainstream deployment and bringing an existential crisis for SEOs and website makers everywhere. Coming from the other direction is an influx of posts from Reddit, Quora, and other internet forums that have climbed up through the traditional set of Google links. Data analysis from Semrush, which predicts traffic based on search ranking, shows that traffic to Reddit has climbed at an impressive clip since August. Semrush estimated that Reddit had over 132 million visitors in August 2023. At the time of publishing, it was projected to have over 346 million visitors in April 2024.

None of this is accidental. For years, Google has been watching users tack on "Reddit" to the end of search queries and finally decided to do something about it. Google started dropping hints in 2022 when it promised to do a better job of promoting sites that weren't just chasing the top of search but were more helpful and human. Last August, Google rolled out a big update to Search that seemed to kick this into action. Reddit, Quora, and other forum sites started getting more visibility in Google, both within the traditional links and within a new "discussions and forums" section, which you may have spotted if you're US-based. The timing of this Reddit bump has led to some conspiracy theories. In February, Google and Reddit announced a blockbuster deal that would let Google train its AI models on Reddit content. Google said the deal, reportedly worth $60 million, would "facilitate more content-forward displays of Reddit information," leading to some speculation that Google promised Reddit better visibility in exchange for the valuable training data. A few weeks later, Reddit also went public.

Steve Paine, marketing manager at Sistrix, called the rise of Reddit "unprecedented." "There hasn't been a website that's grown so much search visibility so quickly in the US in at least the last five years," he told Business Insider. Right now, Reddit ranks high for product searches. Reddit's main competitors are Wikipedia, YouTube, and Fandom, Paine said, and it also competes in "high-value commercial searches," putting it up against Amazon. The "real competitors," he said, are the subreddits that compete with brands on the web. A Google spokesperson told Business Insider that the company is essentially just giving users what they want: "Our research has shown that people often want to learn from others' experiences with a topic, so we've continued to make it easier to find helpful perspectives on Search when it's relevant to a query. Our systems surface content from hundreds of forums and other communities across the web, and we conduct rigorous testing to ensure results are helpful and high quality."

WhatsApp users in the U.S. will soon see support for real-time AI image generation. The Verge reports: As soon as you start typing a text-to-image prompt in a chat with Meta AI, you'll see how the image changes as you add more detail about what you want to create. In the example shared by Meta, a user types in the prompt, "Imagine a soccer game on mars." The generated image quickly changes from a typical soccer player to showing an entire soccer field on a Martian landscape. If you have access to the beta, you can try out the feature for yourself by opening a chat with Meta AI and then start a prompt with the word "Imagine."

Additionally, Meta says its Meta Llama 3 model can now produce "sharper and higher quality" images and is better at showing text. You can also ask Meta AI to animate any images you provide, allowing you to turn them into a GIF to share with friends. Along with availability on WhatsApp, real-time image generation is also available to US users through Meta AI for the web. Further reading: Meta Releases Llama 3 AI Models, Claiming Top Performance

The U.S. Copyright Office has granted a copyright registration to Elisa Shupe, a retired U.S. Army veteran, for her novel "AI Machinations: Tangled Webs and Typed Words," which extensively used OpenAI's ChatGPT in its creation. The registration is among the first for creative works incorporating AI-generated text, but with a significant caveat - Shupe is considered the author of the "selection, coordination, and arrangement" of the AI-generated content, not the text itself.

Shupe, who writes under the pen name Ellen Rae, initially filed for copyright in October 2022, seeking an Americans with Disabilities Act (ADA) exemption due to her cognitive impairments. The Copyright Office rejected her application but later granted the limited copyright after Shupe appealed. The decision, as Wired points out, highlights the agency's struggle to define authorship in the age of AI and the nuances of copyright protection for AI-assisted works.

Meta debuted a new version of its powerful Llama AI model, its latest effort to keep pace with similar technology from companies like OpenAI, X and Google. The company describes Llama 3 8B and Llama 3 70B, containing 8 billion and 70 billion parameters respectively, as a "major leap" in performance compared to their predecessors.

Meta claims that the Llama 3 models, trained on custom-built 24,000 GPU clusters, are among the best-performing generative AI models available for their respective parameter counts. The company supports this claim by citing the models' scores on popular AI benchmarks such as MMLU, ARC, and DROP, which attempt to measure knowledge, skill acquisition, and reasoning abilities. Despite the ongoing debate about the usefulness and validity of these benchmarks, they remain one of the few standardized methods for evaluating AI models. Llama 3 8B outperforms other open-source models like Mistral's Mistral 7B and Google's Gemma 7B on at least nine benchmarks, showcasing its potential in various domains such as biology, physics, chemistry, mathematics, and commonsense reasoning.

TechCrunch adds: Now, Mistral 7B and Gemma 7B aren't exactly on the bleeding edge (Mistral 7B was released last September), and in a few of benchmarks Meta cites, Llama 3 8B scores only a few percentage points higher than either. But Meta also makes the claim that the larger-parameter-count Llama 3 model, Llama 3 70B, is competitive with flagship generative AI models including Gemini 1.5 Pro, the latest in Google's Gemini series.

Google CEO Sundar Pichai announced substantial internal reorganizations on Thursday, including the creation of a new team called "Platforms and Devices" that will oversee all of Google's Pixel products, all of Android, Chrome, ChromeOS, Photos, and more. From a report: The team will be run by Rick Osterloh, who was previously the SVP of devices and services, overseeing all of Google's hardware efforts. Hiroshi Lockheimer, the longtime head of Android, Chrome, and ChromeOS, will be taking on other projects inside of Google and Alphabet. This is a huge change for Google, and it likely won't be the last one. There's only one reason for all of it, Osterloh says: AI. "This is not a secret, right?" he says.

Consolidating teams "helps us to be able to do full-stack innovation when that's necessary," Osterloh says. He uses the example of the Pixel camera: "You had to have deep knowledge of the hardware systems, from the sensors to the ISPs, to all layers of the software stack. And, at the time, all the early HDR and ML models that were doing camera processing... and I think that hardware / software / AI integration really showed how AI could totally transform a user experience. That was important. And it's even more true today."

The US Air Force is putting AI in the pilot's seat. In an update on Thursday, the Defense Advanced Research Projects Agency (DARPA) revealed that an AI-controlled jet successfully faced a human pilot during an in-air dogfight test carried out last year. From a report: DARPA began experimenting with AI applications in December 2022 as part of its Air Combat Evolution (ACE) program. It worked to develop an AI system capable of autonomously flying a fighter jet, while also adhering to the Air Force's safety protocols. After carrying out dogfighting simulations using the AI pilot, DARPA put its work to the test by installing the AI system inside its experimental X-62A aircraft. That allowed it to get the AI-controlled craft into the air at the Edwards Air Force Base in California, where it says it carried out its first successful dogfight test against a human in September 2023.

Jess Weatherbed reports via The Verge: It's alive! A day after announcing it was retiring Atlas, its hydraulic robot, Boston Dynamics has introduced a new, all-electric version of its humanoid machine. The next-generation Atlas robot is designed to offer a far greater range of movement than its predecessor. Boston Dynamics wanted the new version to show that Atlas can keep a humanoid form without limiting "how a bipedal robot can move." The new version has been redesigned with swiveling joints that the company claims make it "uniquely capable of tackling dull, dirty, and dangerous tasks."

The teaser showcasing the new robot's capabilities is as unnerving as it is theatrical. The video starts with Atlas lying in a cadaver-like fashion on the floor before it swiftly folds its legs backward over its body and rises to a standing position in a manner befitting some kind of Cronenberg body-horror flick. Its curved, illuminated head does add some Pixar lamp-like charm, but the way Atlas then spins at the waist and marches toward the camera really feels rather jarring. The design itself is also a little more humanoid. Similar to bipedal robots like Tesla's Optimus, the new Atlas now has longer limbs, a straighter back, and a distinct "head" that can swivel around as needed. There are no cables in sight, and its "face" includes a built-in ring light. It is a marked improvement on its predecessor and now features a bunch of Boston Dynamics' new AI and machine learning tools. [...] Boston Dynamics said the new Atlas will be tested with a small group of customers "over the next few years," starting with Hyundai.