Biz & IT

microsoft’s-vasa-1-can-deepfake-a-person-with-one-photo-and-one-audio-track

Microsoft’s VASA-1 can deepfake a person with one photo and one audio track

AI, AI ethics, AI safety, Biz & IT, Deepfakes, image synthesis, machine learning, microsoft, VASA-1, video synthesis / /

pics and it didn’t happen —

YouTube videos of 6K celebrities helped train AI model to animate photos in real time.

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A sample image from Microsoft for

Enlarge / A sample image from Microsoft for “VASA-1: Lifelike Audio-Driven Talking Faces Generated in Real Time.”

On Tuesday, Microsoft Research Asia 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. 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.

Microsoft claims the model significantly outperforms previous speech animation methods in terms of realism, expressiveness, and efficiency. To our eyes, it does seem like an improvement over single-image animating models that have come before.

AI research efforts to animate a single photo of a person or character extend back at least a few years, but more recently, researchers have been working on automatically synchronizing a generated video to an audio track. In February, an AI model called EMO: Emote Portrait Alive from Alibaba’s Institute for Intelligent Computing research group made waves with a similar approach to VASA-1 that can automatically sync an animated photo to a provided audio track (they call it “Audio2Video”).

Trained on YouTube clips

Microsoft Researchers trained VASA-1 on the VoxCeleb2 dataset created in 2018 by three researchers from the University of Oxford. That dataset contains “over 1 million utterances for 6,112 celebrities,” according to the VoxCeleb2 website, extracted from videos uploaded to YouTube. VASA-1 can reportedly generate videos of 512×512 pixel resolution at up to 40 frames per second with minimal latency, which means it could potentially be used for realtime applications like video conferencing.

To show off the model, Microsoft created a VASA-1 research page featuring many sample videos of the tool in action, including people singing and speaking in sync with pre-recorded audio tracks. They show how the model can be controlled to express different moods or change its eye gaze. The examples also include some more fanciful generations, such as Mona Lisa rapping to an audio track of Anne Hathaway performing a “Paparazzi” song on Conan O’Brien.

The researchers say that, for privacy reasons, each example photo on their page was AI-generated by StyleGAN2 or DALL-E 3 (aside from the Mona Lisa). But it’s obvious that the technique could equally apply to photos of real people as well, although it’s likely that it will work better if a person appears similar to a celebrity present in the training dataset. Still, the researchers say that deepfaking real humans is not their intention.

“We are exploring visual affective skill generation for virtual, interactive charactors [sic], NOT impersonating any person in the real world. This is only a research demonstration and there’s no product or API release plan,” reads the site.

While the Microsoft researchers tout potential positive applications like enhancing educational equity, improving accessibility, and providing therapeutic companionship, the technology could also easily be misused. For example, it could allow people to fake video chats, make real people appear to say things they never actually said (especially when paired with a cloned voice track), or allow harassment from a single social media photo.

Right now, the generated video still looks imperfect in some ways, but it could be fairly convincing for some people if they did not know to expect an AI-generated animation. The researchers say they are aware of this, which is why they are not openly releasing the code that powers the model.

“We are opposed to any behavior to create misleading or harmful contents of real persons, and are interested in applying our technique for advancing forgery detection,” write the researchers. “Currently, the videos generated by this method still contain identifiable artifacts, and the numerical analysis shows that there’s still a gap to achieve the authenticity of real videos.”

VASA-1 is only a research demonstration, but Microsoft is far from the only group developing similar technology. If the recent history of generative AI is any guide, it’s potentially only a matter of time before similar technology becomes open source and freely available—and they will very likely continue to improve in realism over time.

Microsoft’s VASA-1 can deepfake a person with one photo and one audio track Read More »

llms-keep-leaping-with-llama-3,-meta’s-newest-open-weights-ai-model

LLMs keep leaping with Llama 3, Meta’s newest open-weights AI model

AI, AI assistants, Biz & IT, chatgpt, chatgtp, copilot, Google Gemini, LLaMA, Llama 2, Llama 3, machine learning, Meta, Meta AI Assistant, microsoft, Microsoft Copilot, Open Source, open weights, openai / /

computer-powered word generator —

Zuckerberg says new AI model “was still learning” when Meta stopped training.

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A group of pink llamas on a pixelated background.

On Thursday, Meta unveiled early versions of its Llama 3 open-weights AI model that can be used to power text composition, code generation, or chatbots. It also announced that its Meta AI Assistant is now available on a website and is going to be integrated into its major social media apps, intensifying the company’s efforts to position its products against other AI assistants like OpenAI’s ChatGPT, Microsoft’s Copilot, and Google’s Gemini.

Like its predecessor, Llama 2, Llama 3 is notable for being a freely available, open-weights large language model (LLM) provided by a major AI company. Llama 3 technically does not quality as “open source” because that term has a specific meaning in software (as we have mentioned in other coverage), and the industry has not yet settled on terminology for AI model releases that ship either code or weights with restrictions (you can read Llama 3’s license here) or that ship without providing training data. We typically call these releases “open weights” instead.

At the moment, Llama 3 is available in two parameter sizes: 8 billion (8B) and 70 billion (70B), both of which are available as free downloads through Meta’s website with a sign-up. Llama 3 comes in two versions: pre-trained (basically the raw, next-token-prediction model) and instruction-tuned (fine-tuned to follow user instructions). Each has a 8,192 token context limit.

A screenshot of the Meta AI Assistant website on April 18, 2024.

Enlarge / A screenshot of the Meta AI Assistant website on April 18, 2024.

Benj Edwards

Meta trained both models on two custom-built, 24,000-GPU clusters. In a podcast interview with Dwarkesh Patel, Meta CEO Mark Zuckerberg said that the company trained the 70B model with around 15 trillion tokens of data. Throughout the process, the model never reached “saturation” (that is, it never hit a wall in terms of capability increases). Eventually, Meta pulled the plug and moved on to training other models.

“I guess our prediction going in was that it was going to asymptote more, but even by the end it was still leaning. We probably could have fed it more tokens, and it would have gotten somewhat better,” Zuckerberg said on the podcast.

Meta also announced that it is currently training a 400B parameter version of Llama 3, which some experts like Nvidia’s Jim Fan think may perform in the same league as GPT-4 Turbo, Claude 3 Opus, and Gemini Ultra on benchmarks like MMLU, GPQA, HumanEval, and MATH.

Speaking of benchmarks, we have devoted many words in the past to explaining how frustratingly imprecise benchmarks can be when applied to large language models due to issues like training contamination (that is, including benchmark test questions in the training dataset), cherry-picking on the part of vendors, and an inability to capture AI’s general usefulness in an interactive session with chat-tuned models.

But, as expected, Meta provided some benchmarks for Llama 3 that list results from MMLU (undergraduate level knowledge), GSM-8K (grade-school math), HumanEval (coding), GPQA (graduate-level questions), and MATH (math word problems). These show the 8B model performing well compared to open-weights models like Google’s Gemma 7B and Mistral 7B Instruct, and the 70B model also held its own against Gemini Pro 1.5 and Claude 3 Sonnet.

A chart of instruction-tuned Llama 3 8B and 70B benchmarks provided by Meta.

Enlarge / A chart of instruction-tuned Llama 3 8B and 70B benchmarks provided by Meta.

Meta says that the Llama 3 model has been enhanced with capabilities to understand coding (like Llama 2) and, for the first time, has been trained with both images and text—though it currently outputs only text. According to Reuters, Meta Chief Product Officer Chris Cox noted in an interview that more complex processing abilities (like executing multi-step plans) are expected in future updates to Llama 3, which will also support multimodal outputs—that is, both text and images.

Meta plans to host the Llama 3 models on a range of cloud platforms, making them accessible through AWS, Databricks, Google Cloud, and other major providers.

Also on Thursday, Meta announced that Llama 3 will become the new basis of the Meta AI virtual assistant, which the company first announced in September. The assistant will appear prominently in search features for Facebook, Instagram, WhatsApp, Messenger, and the aforementioned dedicated website that features a design similar to ChatGPT, including the ability to generate images in the same interface. The company also announced a partnership with Google to integrate real-time search results into the Meta AI assistant, adding to an existing partnership with Microsoft’s Bing.

LLMs keep leaping with Llama 3, Meta’s newest open-weights AI model Read More »

kremlin-backed-actors-spread-disinformation-ahead-of-us-elections

Kremlin-backed actors spread disinformation ahead of US elections

Biz & IT, disinformation, election influence, election interferance, elections, Security / /

MANUFACTURING DIVISION —

To a lesser extent, China and Iran also peddle disinfo in hopes of influencing voters.

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Kremlin-backed actors spread disinformation ahead of US elections

Kremlin-backed actors have stepped up efforts to interfere with the US presidential election by planting disinformation and false narratives on social media and fake news sites, analysts with Microsoft reported Wednesday.

The analysts have identified several unique influence-peddling groups affiliated with the Russian government seeking to influence the election outcome, with the objective in large part to reduce US support of Ukraine and sow domestic infighting. These groups have so far been less active during the current election cycle than they were during previous ones, likely because of a less contested primary season.

Stoking divisions

Over the past 45 days, the groups have seeded a growing number of social media posts and fake news articles that attempt to foment opposition to US support of Ukraine and stoke divisions over hot-button issues such as election fraud. The influence campaigns also promote questions about President Biden’s mental health and corrupt judges. In all, Microsoft has tracked scores of such operations in recent weeks.

In a report published Wednesday, the Microsoft analysts wrote:

The deteriorated geopolitical relationship between the United States and Russia leaves the Kremlin with little to lose and much to gain by targeting the US 2024 presidential election. In doing so, Kremlin-backed actors attempt to influence American policy regarding the war in Ukraine, reduce social and political support to NATO, and ensnare the United States in domestic infighting to distract from the world stage. Russia’s efforts thus far in 2024 are not novel, but rather a continuation of a decade-long strategy to “win through the force of politics, rather than the politics of force,” or active measures. Messaging regarding Ukraine—via traditional media and social media—picked up steam over the last two months with a mix of covert and overt campaigns from at least 70 Russia-affiliated activity sets we track.

The most prolific of the influence-peddling groups, Microsoft said, is tied to the Russian Presidential Administration, which according to the Marshal Center think tank, is a secretive institution that acts as the main gatekeeper for President Vladimir Putin. The affiliation highlights the “the increasingly centralized nature of Russian influence campaigns,” a departure from campaigns in previous years that primarily relied on intelligence services and a group known as the Internet Research Agency.

“Each Russian actor has shown the capability and willingness to target English-speaking—and in some cases Spanish-speaking—audiences in the US, pushing social and political disinformation meant to portray Ukrainian President Volodymyr Zelensky as unethical and incompetent, Ukraine as a puppet or failed state, and any American aid to Ukraine as directly supporting a corrupt and conspiratorial regime,” the analysts wrote.

An example is Storm-1516, the name Microsoft uses to track a group seeding anti-Ukraine narratives through US Internet and media sources. Content, published in English, Russian, French, Arabic, and Finnish, frequently originates through disinformation seeded by a purported whistleblower or citizen journalist over a purpose-built video channel and then picked up by a network of Storm-1516-controlled websites posing as independent news sources. These fake news sites reside in the Middle East and Africa as well as in the US, with DC Weekly, Miami Chronicle, and the Intel Drop among them.

Eventually, once the disinformation has circulated in subsequent days, US audiences begin amplifying it, in many cases without being aware of the original source. The following graphic illustrates the flow.

Storm-1516 process for laundering anti-Ukraine disinformation.

Enlarge / Storm-1516 process for laundering anti-Ukraine disinformation.

Microsoft

Wednesday’s report also referred to another group tracked as Storm-1099, which is best known for a campaign called Doppelganger. According to the disinformation research group Disinfo Research Lab, the campaign has targeted multiple countries since 2022 with content designed to undermine support for Ukraine and sow divisions among audiences. Two US outlets tied to Storm-1099 are Election Watch and 50 States of Lie, Microsoft said. The image below shows content recently published by the outlets:

Storm-1099 sites.

Enlarge / Storm-1099 sites.

Microsoft

Wednesday’s report also touched on two other Kremlin-tied operations. One attempts to revive a campaign perpetuated by NABU Leaks, a website that published content alleging then-Vice President Joe Biden colluded with former Ukrainian leader Petro Poroshenko, according to Reuters. In January, Andrei Derkoch—the ex-Ukrainian Parliamentarian and US-sanctioned Russian agent responsible for NABU Leaks—reemerged on social media for the first time in two years. In an interview, Derkoch propagated both old and new claims about Biden and other US political figures.

The other operation follows a playbook known as hack and leak, in which operatives obtain private information through hacking and leak it to news outlets.

Kremlin-backed actors spread disinformation ahead of US elections Read More »

broadcom-says-“many”-vmware-perpetual-licenses-got-support-extensions

Broadcom says “many” VMware perpetual licenses got support extensions

antitrust, Biz & IT, Broadcom, Europe, European Commission, vmware / /

Conveniently timed blog post —

Broadcom reportedly accused of changing VMware licensing and support conditions.

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The logo of American cloud computing and virtualization technology company VMware is seen at the Mobile World Congress (MWC), the telecom industry's biggest annual gathering, in Barcelona on March 2, 2023.

Broadcom CEO Hock Tan this week publicized some concessions aimed at helping customers and partners ease into VMware’s recent business model changes. Tan reiterated that the controversial changes, like the end of perpetual licensing, aren’t going away. But amid questioning from antitrust officials in the European Union (EU), Tan announced that the company has already given support extensions for some VMware perpetual license holders.

Broadcom closed its $69 billion VMware acquisition in November. One of its first moves was ending VMware perpetual license sales in favor of subscriptions. Since December, Broadcom also hasn’t sold Support and Subscription renewals for VMware perpetual licenses.

In a blog post on Monday, Tan admitted that this shift requires “a change in the timing of customers’ expenditures and the balance of those expenditures between capital and operating spending.” As a result, Broadcom has “given support extensions to many customers who came up for renewal while these changes were rolling out.” Tan didn’t specify how Broadcom determined who is eligible for an extension or for how long. However, the executive’s blog is the first time Broadcom has announced such extensions and opens the door to more extension requests.

Tan also announced free access to zero-day security patches for supported versions of vSphere to “ensure that customers whose maintenance and support contracts have expired and choose to not continue on one of our subscription offerings are able to use perpetual licenses in a safe and secure fashion.” Tan said other VMware offerings would also receive this concession but didn’t say which or when.

Antitrust concerns in the EU

The news follows Broadcom being questioned by EU antitrust regulators. In late March, MLex said that a European Commission spokesperson had contacted Broadcom for questioning because the commission “received information suggesting that Broadcom is changing the conditions of VMware’s software licensing and support.” Reuters confirmed the news on Monday, the same day Tan posted his blog. Tan didn’t specify if his blog post was related to the EU probing. Broadcom moving VMware to a subscription model was one of the allegations that led to EU officials’ probe, MLex said last month. It’s unclear what, if anything, will follow the questioning.

Tan said this week that VMware’s plan to move to a subscription model started in 2018 (he previously said the plans started to “accelerate in 2019”) before Broadcom’s acquisition. He has argued that the transition ultimately occurred later than most competitors.

The Commission previously approved Broadcom’s VMware purchase in July after a separate antitrust investigation.

However, various European trade groups, including Beltug, a Belgian CIO trade group, and the CIO Platform Nederland association for CIOs and CDOs, wrote a letter (PDF) to the European Commission on March 28, requesting that the Commission “take appropriate action” against Broadcom, which it accused of implementing VMware business practices that resulted in “steeply increased prices,” “non-fulfillment of previous contractual agreements,” and Broadcom “refusing to maintain security conditions for perpetual licenses.”

Partner worries

VMware channel partners and customers have also criticized Broadcom’s VMware for seemingly having less interest in doing business with smaller businesses. The company previously announced that it is killing the VMware Cloud Services Provider (CSP) partner program. The Palo Alto-headquartered firm originally said that CSPs may be invited to the Broadcom Expert Advantage Partner Program. However, reported minimum core requirements seemed to outprice small firms; in February, some small managed service providers claimed that the price of doing VMware business would increase tenfold under the new structure.

Small CSPs will be able to white-label offerings from larger CSPs that qualified for Broadcom’s Premier or Pinnacle partner program tiers as of April 30, when VMware’s CSP partner program shutters. But in the meantime, Broadcom “will continue existing operations” small CSPs “under modified monthly billing arrangements until the white-label offers are available,” Tan said, adding that the move is about ensuring that “there is continuity of service for this smaller partner group.”

However, some channel partners accessing VMware offerings through larger partners remain worried about the future. CRN spoke with an anonymous channel partner selling VMware through Hewlett Packard Enterprise (HPE), which said that more than half of its VMware customers “have reached out to say they are concerned and they want to be aware of alternatives.”

Another unnamed HPE partner told CRN that Broadcom’s perceived prioritization of “the “bigger, more profitable customers, is sensible but “leaves a lot of people in the lurch.”

Broadcom didn’t respond to Ars’ request for comment.

Broadcom says “many” VMware perpetual licenses got support extensions Read More »

linus-torvalds-reiterates-his-tabs-versus-spaces-stance-with-a-kernel-trap

Linus Torvalds reiterates his tabs-versus-spaces stance with a kernel trap

Biz & IT, coding style, Linus Torvalds, Linux, Linux kernel, linux kernel mailing list, tab vs space, tabs versus spaces, Tech / /

Tabs Versus Space 2024: The Sabotage —

One does not simply suggest changing a kernel line to help out a parsing tool.

– Updated

Tab soda displayed on a grocery shelf

Enlarge / Cans of Tab diet soda on display in 2011. Tab was discontinued in 2020. There has never been a soda named “Spaces” that had a cult following.

Getty Images

Anybody can contribute to the Linux kernel, but any person’s commit suggestion can become the subject of the kernel’s master and namesake, Linus Torvalds. Torvalds is famously not overly committed to niceness, though he has been working on it since 2018. You can see glimpses of this newer, less curse-laden approach in how Torvalds recently addressed a commit with which he vehemently disagreed. It involves tabs.

The commit last week changed exactly one thing on one line, replacing a tab character with a space: “It helps Kconfig parsers to read file without error.” Torvalds responded with a commit of his own, as spotted by The Register, which would “add some hidden tabs on purpose.” Trying to smooth over a tabs-versus-spaces matter seemed to awaken Torvalds to the need to have tab-detecting failures be “more obvious.” Torvalds would have added more, he wrote, but didn’t “want to make things uglier than necessary. But it *mightbe necessary if it turns out we see more of this kind of silly tooling.”

If you’ve read this far and don’t understand what’s happening, please allow me, a failed CS minor, to offer a quick explanation: Tabs Versus Spaces will never be truly resolved, codified, or set right by standards, and the energy spent on the issue over time could, if harnessed, likely power one or more small nations. Still, the Linux kernel has its own coding style, and it directly cites “K&R,” or Kernighan & Ritchie, the authors of the coding bible The C Programming Language, which is a tabs book. If you are submitting kernel code, it had better use tabs (eight-character tabs, ideally, though that is tied in part to teletype and line-printer history).

By attempting to smooth over one tiny part of the kernel so that a parsing tool could see a space character as a delineating whitespace, Prasad Pandit inadvertently spurred a robust rebuttal:

It wasn’t clear what tool it was, but let’s make sure it gets fixed. Because if you can’t parse tabs as whitespace, you should not be parsing the kernel Kconfig files.

In fact, let’s make such breakage more obvious than some esoteric ftrace record size option. If you can’t parse tabs, you can’t have page sizes.

Yes, tab-vs-space confusion is sadly a traditional Unix thing, and ‘make’ is famous for being broken in this regard. But no, that does not mean that it’s ok.

Torvalds’ hidden tabs appear in the fourth release candidate for Linux kernel 6.9, which Torvlads wrote had “nothing particularly unusual going on” the week of its release.

Disclosure: The author is a tab person insofar as he has any idea what he’s doing.

This post was updated at 6: 33 pm Eastern to fix some line-break issues in the Torvalds blockquote. The irony was duly noted. A better link regarding the Tabs Vs. Spaces debate was also swapped in.

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attackers-are-pummeling-networks-around-the-world-with-millions-of-login-attempts

Attackers are pummeling networks around the world with millions of login attempts

Biz & IT, credential compromise, Security, SSH, Talos, vpns / /

UNDER SIEGE —

Attacks coming from nearly 4,000 IP addresses take aim at VPNs, SSH and web apps.

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Attackers are pummeling networks around the world with millions of login attempts

Matejmo | Getty Images

Cisco’s Talos security team is warning of a large-scale credential compromise campaign that’s indiscriminately assailing networks with login attempts aimed at gaining unauthorized access to VPN, SSH, and web application accounts.

The login attempts use both generic usernames and valid usernames targeted at specific organizations. Cisco included a list of more than 2,000 usernames and almost 100 passwords used in the attacks, along with nearly 4,000 IP addresses sending the login traffic. The IP addresses appear to originate from TOR exit nodes and other anonymizing tunnels and proxies. The attacks appear to be indiscriminate and opportunistic rather than aimed at a particular region or industry.

“Depending on the target environment, successful attacks of this type may lead to unauthorized network access, account lockouts, or denial-of-service conditions,” Talos researchers wrote Tuesday. “The traffic related to these attacks has increased with time and is likely to continue to rise.”

The attacks began no later than March 18.

Tuesday’s advisory comes three weeks after Cisco warned of a similar attack campaign. Cisco described that one as a password spray directed at remote access VPNs from Cisco and third-party providers connected to Cisco firewalls. This campaign appeared to be related to reconnaissance efforts, the company said.

The attacks included hundreds of thousands or millions of rejected authentication attempts. Cisco went on to say that users can intermittently receive an error message that states, “Unable to complete connection. Cisco Secure Desktop not installed on the client.” Login attempts resulting in the error fail to complete the VPN connection process. The report also reported “symptoms of hostscan token allocation failures.”

A Cisco representative said company researchers currently don’t have evidence to conclusively link the activity in both instances to the same threat actor but that there are technical overlaps in the way the attacks were carried out, as well as the infrastructure that was used.

Talos said Tuesday that services targeted in the campaign include, but aren’t limited to:

  • Cisco Secure Firewall VPN
  • Checkpoint VPN
  • Fortinet VPN
  • SonicWall VPN
  • RD Web Services
  • Mikrotik
  • Draytek
  • Ubiquiti.

Anonymization IPs appeared to belong to services, including:

  • TOR
  • VPN Gate
  • IPIDEA Proxy
  • BigMama Proxy
  • Space Proxies
  • Nexus Proxy
  • Proxy Rack.

Cisco has already added the list of IP addresses mentioned earlier to a block list for its VPN offerings. Organizations can add the addresses to block lists for any third-party VPNs they’re using. A full list of indications of compromise is here.

Cisco has also provided a list of recommendations for preventing the attacks from succeeding. The guidance includes:

  • Enabling detailed logging, ideally to a remote syslog server so that admins can recognize and correlate attacks across various network endpoints
  • Securing default remote access accounts by sinkholing them unless they use the DefaultRAGroup and DefaultWEBVPNGroup profiles
  • Blocking connection attempts from known malicious sources
  • Implement interface-level and control plane access control lists to filter out unauthorized public IP addresses and prevent them from initiating remote VPN sessions.
  • Use the shun command.

Additionally, remote access VPNs should use certificate-based authentication. Cisco lists further steps for hardening VPNs here.

Attackers are pummeling networks around the world with millions of login attempts Read More »

alleged-cryptojacking-scheme-consumed-$3.5m-of-stolen-computing-to-make-just-$1m

Alleged cryptojacking scheme consumed $3.5M of stolen computing to make just $1M

AWS, azure, Biz & IT, Cloud Computing, cryptojacking, Security / /

SHOCKING CRYPTOCURRENCY SCAM —

Indictment says man tricked cloud providers into giving him services he never paid for.

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Alleged cryptojacking scheme consumed $3.5M of stolen computing to make just $1M

Getty Images

Federal prosecutors indicted a Nebraska man on charges he perpetrated a cryptojacking scheme that defrauded two cloud providers—one based in Seattle and the other in Redmond, Washington—out of $3.5 million.

The indictment, filed in US District Court for the Eastern District of New York and unsealed on Monday, charges Charles O. Parks III—45 of Omaha, Nebraska—with wire fraud, money laundering, and engaging in unlawful monetary transactions in connection with the scheme. Parks has yet to enter a plea and is scheduled to make an initial appearance in federal court in Omaha on Tuesday. Parks was arrested last Friday.

Prosecutors allege that Parks defrauded “two well-known providers of cloud computing services” of more than $3.5 million in computing resources to mine cryptocurrency. The indictment says the activity was in furtherance of a cryptojacking scheme, a term for crimes that generate digital coin through the acquisition of computing resources and electricity of others through fraud, hacking, or other illegal means.

Details laid out in the indictment underscore the failed economics involved in the mining of most cryptocurrencies. The $3.5 million of computing resources yielded roughly $1 million worth of cryptocurrency. In the process, massive amounts of energy were consumed.

Parks’ scheme allegedly used a variety of personal and business identities to register “numerous accounts” with the two cloud providers and in the process acquiring vast amounts of computing processing power and storage that he never paid for. Prosecutors said he tricked the providers into allotting him elevated levels of services and deferred billing accommodations and deflected the providers’ inquiries regarding questionable data usage in unpaid bills. He allegedly then used those resources to mine Ether, Litecoin, and Monero digital currencies.

The defendant then allegedly laundered the proceeds through cryptocurrency exchanges, an NFT marketplace, an online payment provider, and traditional bank accounts in an attempt to disguise the illegal scheme. Once proceeds had been converted to dollars, Parks allegedly bought a Mercedes-Benz, jewelry, first-class hotel and travel accommodations, and other luxury goods and services.

From January to August 2021, prosecutors allege, Parks created five accounts with the Seattle-based “on-demand cloud computing platform” using different names, email addresses, and corporate affiliations. He then allegedly “tricked and defrauded” employees of the platform into providing elevated levels of service, deferring billing payments, and failing to discover the activity.

During this time, Parks repeatedly requested that the provider “provide him access to powerful and expensive instances that included graphics processing units used for cryptocurrency mining and launched tens of thousands of these instances to mine cryptocurrency, employing mining software applications to facilitate the mining of tokens including ETH, LTC and XMR in various mining pools, and employing tools that allowed him to maximize cloud computing power and monitor which instances were actively mining on each mining pool,” prosecutors wrote in the indictment.

Within a day of having one account suspended for nonpayment and fraudulent activity, Parks allegedly used a new account with the provider. In all, Parks allegedly consumed more than $2.5 million of the Seattle-based provider’s services.

The prosecutors went on to allege that Parks used similar tactics to defraud the Redmond provider of more than $969,000 in cloud computing and related services.

Prosecutors didn’t say precisely how Parks was able to trick the providers into giving him elevated services, deferring unpaid payments, or failing to discover the allegedly fraudulent behavior. They also didn’t identify either of the cloud providers by name. Based on the details, however, they are almost certainly Amazon Web Services and Microsoft Azure. Representatives from both providers didn’t immediately return emails seeking confirmation.

If convicted on all charges, Parks faces as much as 30 years in prison.

Alleged cryptojacking scheme consumed $3.5M of stolen computing to make just $1M Read More »

framework’s-software-and-firmware-have-been-a-mess,-but-it’s-working-on-them

Framework’s software and firmware have been a mess, but it’s working on them

AMD, BIOS, Biz & IT, Features, framework laptop, framework laptop 13, framework laptop 16, intel, Security, Tech / /
The Framework Laptop 13.

Enlarge / The Framework Laptop 13.

Andrew Cunningham

Since Framework showed off its first prototypes in February 2021, we’ve generally been fans of the company’s modular, repairable, upgradeable laptops.

Not that the company’s hardware releases to date have been perfect—each Framework Laptop 13 model has had quirks and flaws that range from minor to quite significant, and the Laptop 16’s upsides struggle to balance its downsides. But the hardware mostly does a good job of functioning as a regular laptop while being much more tinkerer-friendly than your typical MacBook, XPS, or ThinkPad.

But even as it builds new upgrades for its systems, expands sales of refurbished and B-stock hardware as budget options, and promotes the re-use of its products via external enclosures, Framework has struggled with the other side of computing longevity and sustainability: providing up-to-date software.

Driver bundles remain un-updated for years after their initial release. BIOS updates go through long and confusing beta processes, keeping users from getting feature improvements, bug fixes, and security updates. In its community support forums, Framework employees, including founder and CEO Nirav Patel, have acknowledged these issues and promised fixes but have remained inconsistent and vague about actual timelines.

But according to Patel, the company is working on fixing these issues, and it has taken some steps to address them. We spoke to him about the causes of and the solutions to these issues, and the company’s approach to the software side of its efforts to promote repairability and upgradeability.

Promises made

Here’s a case in point: the 12th-generation Intel version of the Framework Laptop 13, which prompted me to start monitoring Framework’s software and firmware updates in the first place.

In November 2022, Patel announced that this model, then the latest version, was getting a nice, free-of-charge spec bump. All four of the laptop’s recessed USB-C ports would now become full-speed Thunderbolt ports. This wasn’t a dramatic functional change, especially for people who were mostly using those ports for basic Framework expansion modules like USB-A or HDMI, but the upgrade opened the door to high-speed external accessories, and all it would need was a BIOS update.

The recessed USB-C ports in the 12th-gen Intel version of the Framework Laptop 13 can be upgraded to fully certified Thunderbolt ports, but only if you're willing to install one in a long series of still-in-testing beta BIOSes.

Enlarge / The recessed USB-C ports in the 12th-gen Intel version of the Framework Laptop 13 can be upgraded to fully certified Thunderbolt ports, but only if you’re willing to install one in a long series of still-in-testing beta BIOSes.

Andrew Cunningham

A final version of this BIOS update finally showed up this week, nearly a year and a half later. Up until last week, Framework’s support page for that 12th-gen Intel laptop still said that there was “no new BIOS available” for a laptop that began shipping in the summer of 2022. This factory-installed BIOS, version 3.04, also didn’t include fixes for the LogoFAIL UEFI security vulnerability or any other firmware-based security patches that have cropped up in the last year and a half.

And it’s not just that the updates don’t come out in a timely way; the company has been bad about estimating when they might come out. That old12th-gen Framework BIOS also didn’t support the 61 WHr battery that the company released in early 2023 alongside the 13th-gen Intel refresh. Framework originally told me that BIOS update would be out in May of 2023. A battery-supporting update for the 11th-gen Intel version was also promised in May 2023; it came out this past January.

Framework has been trying, but it keeps running into issues. A beta 3.06 BIOS update with the promised improvements for the 12th-gen Intel Framework Laptop was posted back in December of 2022, but a final version was never released. The newer 3.08 BIOS beta entered testing in January 2024 but still gave users some problems. Users would go for weeks or months without any communication from anyone at Framework.

The result is multiple long forum threads of frustrated users asking for updates, interspersed with not-untrue but unsatisfying responses from Framework employees (some version of “we’re a small company” is one of the most common).

Framework’s software and firmware have been a mess, but it’s working on them Read More »

change-healthcare-faces-another-ransomware-threat—and-it-looks-credible

Change Healthcare faces another ransomware threat—and it looks credible

Biz & IT, Security / /
Medical Data Breach text write on keyboard isolated on laptop background

For months, Change Healthcare has faced an immensely messy ransomware debacle that has left hundreds of pharmacies and medical practices across the United States unable to process claims. Now, thanks to an apparent dispute within the ransomware criminal ecosystem, it may have just become far messier still.

In March, the ransomware group AlphV, which had claimed credit for encrypting Change Healthcare’s network and threatened to leak reams of the company’s sensitive health care data, received a $22 million payment—evidence, publicly captured on bitcoin’s blockchain, that Change Healthcare had very likely caved to its tormentors’ ransom demand, though the company has yet to confirm that it paid. But in a new definition of a worst-case ransomware, a different ransomware group claims to be holding Change Healthcare’s stolen data and is demanding a payment of their own.

Since Monday, RansomHub, a relatively new ransomware group, has posted to its dark-web site that it has 4 terabytes of Change Healthcare’s stolen data, which it threatened to sell to the “highest bidder” if Change Healthcare didn’t pay an unspecified ransom. RansomHub tells WIRED it is not affiliated with AlphV and “can’t say” how much it’s demanding as a ransom payment.

RansomHub initially declined to publish or provide WIRED any sample data from that stolen trove to prove its claim. But on Friday, a representative for the group sent WIRED several screenshots of what appeared to be patient records and a data-sharing contract for United Healthcare, which owns Change Healthcare, and Emdeon, which acquired Change Healthcare in 2014 and later took its name.

While WIRED could not fully confirm RansomHub’s claims, the samples suggest that this second extortion attempt against Change Healthcare may be more than an empty threat. “For anyone doubting that we have the data, and to anyone speculating the criticality and the sensitivity of the data, the images should be enough to show the magnitude and importance of the situation and clear the unrealistic and childish theories,” the RansomHub contact tells WIRED in an email.

Change Healthcare didn’t immediately respond to WIRED’s request for comment on RansomHub’s extortion demand.

Brett Callow, a ransomware analyst with security firm Emsisoft, says he believes AlphV did not originally publish any data from the incident, and the origin of RansomHub’s data is unclear. “I obviously don’t know whether the data is real—it could have been pulled from elsewhere—but nor do I see anything that indicates it may not be authentic,” he says of the data shared by RansomHub.

Jon DiMaggio, chief security strategist at threat intelligence firm Analyst1, says he believes RansomHub is “telling the truth and does have Change HealthCare’s data,” after reviewing the information sent to WIRED. While RansomHub is a new ransomware threat actor, DiMaggio says, they are quickly “gaining momentum.”

If RansomHub’s claims are real, it will mean that Change Healthcare’s already catastrophic ransomware ordeal has become a kind of cautionary tale about the dangers of trusting ransomware groups to follow through on their promises, even after a ransom is paid. In March, someone who goes by the name “notchy” posted to a Russian cybercriminal forum that AlphV had pocketed that $22 million payment and disappeared without sharing a commission with the “affiliate” hackers who typically partner with ransomware groups and often penetrate victims’ networks on their behalf.

Change Healthcare faces another ransomware threat—and it looks credible Read More »

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“Highly capable” hackers root corporate networks by exploiting firewall 0-day

Biz & IT, exploits, Palo Alto Networks, pan-os, Security, vulnerabilities, zerodays / /
The word ZERO-DAY is hidden amidst a screen filled with ones and zeroes.

Highly capable hackers are rooting multiple corporate networks by exploiting a maximum-severity zero-day vulnerability in a firewall product from Palo Alto Networks, researchers said Friday.

The vulnerability, which has been under active exploitation for at least two weeks now, allows the hackers with no authentication to execute malicious code with root privileges, the highest possible level of system access, researchers said. The extent of the compromise, along with the ease of exploitation, has earned the CVE-2024-3400 vulnerability the maximum severity rating of 10.0. The ongoing attacks are the latest in a rash of attacks aimed at firewalls, VPNs, and file-transfer appliances, which are popular targets because of their wealth of vulnerabilities and direct pipeline into the most sensitive parts of a network.

“Highly capable” UTA0218 likely to be joined by others

The zero-day is present in PAN-OS 10.2, PAN-OS 11.0, and/or PAN-OS 11.1 firewalls when they are configured to use both the GlobalProtect gateway and device telemetry. Palo Alto Networks has yet to patch the vulnerability but is urging affected customers to follow the workaround and mitigation guidance provided here. The advice includes enabling Threat ID 95187 for those with subscriptions to the company’s Threat Prevention service and ensuring vulnerability protection has been applied to their GlobalProtect interface. When that’s not possible, customers should temporarily disable telemetry until a patch is available.

Volexity, the security firm that discovered the zero-day attacks, said that it’s currently unable to tie the attackers to any previously known groups. However, based on the resources required and the organizations targeted, they are “highly capable” and likely backed by a nation-state. So far, only a single threat group—which Volexity tracks as UTA0218—is known to be leveraging the vulnerability in limited attacks. The company warned that as new groups learn of the vulnerability, CVE-2024-3400, is likely to come under mass exploitation, just as recent zero-days affecting products from the likes of Ivanti, Atlassian, Citrix, and Progress have in recent months.

“As with previous public disclosures of vulnerabilities in these kinds of devices, Volexity assesses that it is likely a spike in exploitation will be observed over the next few days by UTA0218 and potentially other threat actors who may develop exploits for this vulnerability,” company researchers wrote Friday. “This spike in activity will be driven by the urgency of this window of access closing due to mitigations and patches being deployed. It is therefore imperative that organizations act quickly to deploy recommended mitigations and perform compromise reviews of their devices to check whether further internal investigation of their networks is required.”

The earliest attacks Volexity has seen took place on March 26 in what company researchers suspect was UTA0218 testing the vulnerability by placing zero-byte files on firewall devices to validate exploitability. On April 7, the researchers observed the group trying unsuccessfully to install a backdoor on a customer’s firewall. Three days later, the group’s attacks were successfully deploying malicious payloads. Since then, the threat group has deployed custom, never-before-seen post-exploitation malware. The backdoor, which is written in the Python language, allows the attackers to use specially crafted network requests to execute additional commands on hacked devices.

“Highly capable” hackers root corporate networks by exploiting firewall 0-day Read More »

words-are-flowing-out-like-endless-rain:-recapping-a-busy-week-of-llm-news

Words are flowing out like endless rain: Recapping a busy week of LLM news

AI, Anthropic, Biz & IT, Chatbot Arena, chatgpt, chatgtp, Claude 3, Claude 3 Opus, Claude 3 Sonnet, Gemini, Gemini 1.5, Google Gemini, GPT-4, GPT-4-turbo, large language models, machine learning, Meta, Mistral, Mixtral, Mixtral 8x22B, openai, RECAP, Simon Willison, whirlwind / /

many things frequently —

Gemini 1.5 Pro launch, new version of GPT-4 Turbo, new Mistral model, and more.

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An image of a boy amazed by flying letters.

Enlarge / An image of a boy amazed by flying letters.

Some weeks in AI news are eerily quiet, but during others, getting a grip on the week’s events feels like trying to hold back the tide. This week has seen three notable large language model (LLM) releases: Google Gemini Pro 1.5 hit general availability with a free tier, OpenAI shipped a new version of GPT-4 Turbo, and Mistral released a new openly licensed LLM, Mixtral 8x22B. All three of those launches happened within 24 hours starting on Tuesday.

With the help of software engineer and independent AI researcher Simon Willison (who also wrote about this week’s hectic LLM launches on his own blog), we’ll briefly cover each of the three major events in roughly chronological order, then dig into some additional AI happenings this week.

Gemini Pro 1.5 general release

On Tuesday morning Pacific time, Google announced that its Gemini 1.5 Pro model (which we first covered in February) is now available in 180-plus countries, excluding Europe, via the Gemini API in a public preview. This is Google’s most powerful public LLM so far, and it’s available in a free tier that permits up to 50 requests a day.

It supports up to 1 million tokens of input context. As Willison notes in his blog, Gemini 1.5 Pro’s API price at $7/million input tokens and $21/million output tokens costs a little less than GPT-4 Turbo (priced at $10/million in and $30/million out) and more than Claude 3 Sonnet (Anthropic’s mid-tier LLM, priced at $3/million in and $15/million out).

Notably, Gemini 1.5 Pro includes native audio (speech) input processing that allows users to upload audio or video prompts, a new File API for handling files, the ability to add custom system instructions (system prompts) for guiding model responses, and a JSON mode for structured data extraction.

“Majorly Improved” GPT-4 Turbo launch

A GPT-4 Turbo performance chart provided by OpenAI.

Enlarge / A GPT-4 Turbo performance chart provided by OpenAI.

Just a bit later than Google’s 1.5 Pro launch on Tuesday, OpenAI announced that it was rolling out a “majorly improved” version of GPT-4 Turbo (a model family originally launched in November) called “gpt-4-turbo-2024-04-09.” It integrates multimodal GPT-4 Vision processing (recognizing the contents of images) directly into the model, and it initially launched through API access only.

Then on Thursday, OpenAI announced that the new GPT-4 Turbo model had just become available for paid ChatGPT users. OpenAI said that the new model improves “capabilities in writing, math, logical reasoning, and coding” and shared a chart that is not particularly useful in judging capabilities (that they later updated). The company also provided an example of an alleged improvement, saying that when writing with ChatGPT, the AI assistant will use “more direct, less verbose, and use more conversational language.”

The vague nature of OpenAI’s GPT-4 Turbo announcements attracted some confusion and criticism online. On X, Willison wrote, “Who will be the first LLM provider to publish genuinely useful release notes?” In some ways, this is a case of “AI vibes” again, as we discussed in our lament about the poor state of LLM benchmarks during the debut of Claude 3. “I’ve not actually spotted any definite differences in quality [related to GPT-4 Turbo],” Willison told us directly in an interview.

The update also expanded GPT-4’s knowledge cutoff to April 2024, although some people are reporting it achieves this through stealth web searches in the background, and others on social media have reported issues with date-related confabulations.

Mistral’s mysterious Mixtral 8x22B release

An illustration of a robot holding a French flag, figuratively reflecting the rise of AI in France due to Mistral. It's hard to draw a picture of an LLM, so a robot will have to do.

Enlarge / An illustration of a robot holding a French flag, figuratively reflecting the rise of AI in France due to Mistral. It’s hard to draw a picture of an LLM, so a robot will have to do.

Not to be outdone, on Tuesday night, French AI company Mistral launched its latest openly licensed model, Mixtral 8x22B, by tweeting a torrent link devoid of any documentation or commentary, much like it has done with previous releases.

The new mixture-of-experts (MoE) release weighs in with a larger parameter count than its previously most-capable open model, Mixtral 8x7B, which we covered in December. It’s rumored to potentially be as capable as GPT-4 (In what way, you ask? Vibes). But that has yet to be seen.

“The evals are still rolling in, but the biggest open question right now is how well Mixtral 8x22B shapes up,” Willison told Ars. “If it’s in the same quality class as GPT-4 and Claude 3 Opus, then we will finally have an openly licensed model that’s not significantly behind the best proprietary ones.”

This release has Willison most excited, saying, “If that thing really is GPT-4 class, it’s wild, because you can run that on a (very expensive) laptop. I think you need 128GB of MacBook RAM for it, twice what I have.”

The new Mixtral is not listed on Chatbot Arena yet, Willison noted, because Mistral has not released a fine-tuned model for chatting yet. It’s still a raw, predict-the-next token LLM. “There’s at least one community instruction tuned version floating around now though,” says Willison.

Chatbot Arena Leaderboard shake-ups

A Chatbot Arena Leaderboard screenshot taken on April 12, 2024.

Enlarge / A Chatbot Arena Leaderboard screenshot taken on April 12, 2024.

Benj Edwards

This week’s LLM news isn’t limited to just the big names in the field. There have also been rumblings on social media about the rising performance of open source models like Cohere’s Command R+, which reached position 6 on the LMSYS Chatbot Arena Leaderboard—the highest-ever ranking for an open-weights model.

And for even more Chatbot Arena action, apparently the new version of GPT-4 Turbo is proving competitive with Claude 3 Opus. The two are still in a statistical tie, but GPT-4 Turbo recently pulled ahead numerically. (In March, we reported when Claude 3 first numerically pulled ahead of GPT-4 Turbo, which was then the first time another AI model had surpassed a GPT-4 family model member on the leaderboard.)

Regarding this fierce competition among LLMs—of which most of the muggle world is unaware and will likely never be—Willison told Ars, “The past two months have been a whirlwind—we finally have not just one but several models that are competitive with GPT-4.” We’ll see if OpenAI’s rumored release of GPT-5 later this year will restore the company’s technological lead, we note, which once seemed insurmountable. But for now, Willison says, “OpenAI are no longer the undisputed leaders in LLMs.”

Words are flowing out like endless rain: Recapping a busy week of LLM news Read More »

intel’s-“gaudi-3”-ai-accelerator-chip-may-give-nvidia’s-h100-a-run-for-its-money

Intel’s “Gaudi 3” AI accelerator chip may give Nvidia’s H100 a run for its money

AI, AI chips, B200, Biz & IT, Blackwell, chatgpt, chatgtp, Gaudi 3, H100, H200, intel, Intel Gaudi, machine learning, NVIDIA, Nvidia Blackwell, openai / /

Adventures in Matrix Multiplication —

Intel claims 50% more speed when running AI language models vs. the market leader.

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An Intel handout photo of the Gaudi 3 AI accelerator.

Enlarge / An Intel handout photo of the Gaudi 3 AI accelerator.

On Tuesday, Intel revealed a new AI accelerator chip called Gaudi 3 at its Vision 2024 event in Phoenix. With strong claimed performance while running large language models (like those that power ChatGPT), the company has positioned Gaudi 3 as an alternative to Nvidia’s H100, a popular data center GPU that has been subject to shortages, though apparently that is easing somewhat.

Compared to Nvidia’s H100 chip, Intel projects a 50 percent faster training time on Gaudi 3 for both OpenAI’s GPT-3 175B LLM and the 7-billion parameter version of Meta’s Llama 2. In terms of inference (running the trained model to get outputs), Intel claims that its new AI chip delivers 50 percent faster performance than H100 for Llama 2 and Falcon 180B, which are both relatively popular open-weights models.

Intel is targeting the H100 because of its high market share, but the chip isn’t Nvidia’s most powerful AI accelerator chip in the pipeline. Announcements of the H200 and the Blackwell B200 have since surpassed the H100 on paper, but neither of those chips is out yet (the H200 is expected in the second quarter of 2024—basically any day now).

Meanwhile, the aforementioned H100 supply issues have been a major headache for tech companies and AI researchers who have to fight for access to any chips that can train AI models. This has led several tech companies like Microsoft, Meta, and OpenAI (rumor has it) to seek their own AI-accelerator chip designs, although that custom silicon is typically manufactured by either Intel or TSMC. Google has its own line of tensor processing units (TPUs) that it has been using internally since 2015.

Given those issues, Intel’s Gaudi 3 may be a potentially attractive alternative to the H100 if Intel can hit an ideal price (which Intel has not provided, but an H100 reportedly costs around $30,000–$40,000) and maintain adequate production. AMD also manufactures a competitive range of AI chips, such as the AMD Instinct MI300 Series, that sell for around $10,000–$15,000.

Gaudi 3 performance

An Intel handout featuring specifications of the Gaudi 3 AI accelerator.

Enlarge / An Intel handout featuring specifications of the Gaudi 3 AI accelerator.

Intel says the new chip builds upon the architecture of its predecessor, Gaudi 2, by featuring two identical silicon dies connected by a high-bandwidth connection. Each die contains a central cache memory of 48 megabytes, surrounded by four matrix multiplication engines and 32 programmable tensor processor cores, bringing the total cores to 64.

The chipmaking giant claims that Gaudi 3 delivers double the AI compute performance of Gaudi 2 using 8-bit floating-point infrastructure, which has become crucial for training transformer models. The chip also offers a fourfold boost for computations using the BFloat 16-number format. Gaudi 3 also features 128GB of the less expensive HBMe2 memory capacity (which may contribute to price competitiveness) and features 3.7TB of memory bandwidth.

Since data centers are well-known to be power hungry, Intel emphasizes the power efficiency of Gaudi 3, claiming 40 percent greater inference power-efficiency across Llama 7B and 70B parameters, and Falcon 180B parameter models compared to Nvidia’s H100. Eitan Medina, chief operating officer of Intel’s Habana Labs, attributes this advantage to Gaudi’s large-matrix math engines, which he claims require significantly less memory bandwidth compared to other architectures.

Gaudi vs. Blackwell

An Intel handout photo of the Gaudi 3 AI accelerator.

Enlarge / An Intel handout photo of the Gaudi 3 AI accelerator.

Last month, we covered the splashy launch of Nvidia’s Blackwell architecture, including the B200 GPU, which Nvidia claims will be the world’s most powerful AI chip. It seems natural, then, to compare what we know about Nvidia’s highest-performing AI chip to the best of what Intel can currently produce.

For starters, Gaudi 3 is being manufactured using TSMC’s N5 process technology, according to IEEE Spectrum, narrowing the gap between Intel and Nvidia in terms of semiconductor fabrication technology. The upcoming Nvidia Blackwell chip will use a custom N4P process, which reportedly offers modest performance and efficiency improvements over N5.

Gaudi 3’s use of HBM2e memory (as we mentioned above) is notable compared to the more expensive HBM3 or HBM3e used in competing chips, offering a balance of performance and cost-efficiency. This choice seems to emphasize Intel’s strategy to compete not only on performance but also on price.

As far as raw performance comparisons between Gaudi 3 and the B200, that can’t be known until the chips have been released and benchmarked by a third party.

As the race to power the tech industry’s thirst for AI computation heats up, IEEE Spectrum notes that the next generation of Intel’s Gaudi chip, code-named Falcon Shores, remains a point of interest. It also remains to be seen whether Intel will continue to rely on TSMC’s technology or leverage its own foundry business and upcoming nanosheet transistor technology to gain a competitive edge in the AI accelerator market.

Intel’s “Gaudi 3” AI accelerator chip may give Nvidia’s H100 a run for its money Read More »