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AI Weekly: AI supercomputers and facial recognition to verify taxpayers’ identities



Supercomputers and facial recognition dominated the headlines this week in AI — but not necessarily in equal measure. Meta, the company formerly known as Facebook, announced it’s building a server cluster for AI research that it claims will be among the fastest of its kind. Meanwhile, the IRS quietly implemented a new program with a vendor,, that controversially uses facial recognition technology to verify the identity of taxpayers.

Meta’s new “AI supercomputer” — called AI Research SuperCluster (RSC) — is impressive, to be sure. Work on it began a year and a half ago, with phase one reaching the operational stage within the past few weeks. Currently, RSC features 760 Nvidia GGX A100 systems containing 6,080 connected GPUs as well as custom cooling, power, networking, and cabling systems. Phase two will be completed by 2022, bringing RSC up to 16,000 total GPUs and the capacity to train AI systems “on datasets as large as an exabyte.”

Meta says RSC will be applied to training a range of systems across Meta’s businesses, including content moderation algorithms, augmented reality features, and experiences for the metaverse. But the company hasn’t announced plans to make RSC’s capabilities public, which many experts say highlight the resource inequalities in the AI industry.

“I think it’s important to remember that Meta spends money on big expensive spectacles because money is their strength — they can outspend people and get the big results, the big headlines they want that way,” Mike Cook, an AI researcher at Queen Mary University in London, told VentureBeat via email. “I absolutely hope Meta manages to do something interesting with this and we all get to benefit, but it’s really important that we put this in context — private labs like [Meta’s] redefine progress along these narrow lines that they excel at, so that they can position themselves as leaders.”

Large corporations dominate the list of “AI supercomputers,” unsurprisingly, given the costs involved in building such systems. Microsoft two years ago announced that it created a 10,000-GPU AI supercomputer running on its Azure platform with research lab OpenAI. Nvidia has its own in-house supercomputer, Selene, that it uses for AI research including training natural language and computer vision models.

Os Keyes, an AI ethicist at the University of Washington, characterized the trend as “worrying.” Keyes says that the direction of larger and more expensive AI compute infrastructure wrongly rewards “scale and hegemony,” while locking in “monolithic organizational forms” as the logical or efficient way of doing things.

“It says some interesting things about Meta — about where it’s choosing to focus efforts,” Keyes said. “That Meta’s direction of investment is in algorithmic systems demonstrates exactly how hard they’ve pinned themselves to ‘technosolutionism’ … It’s change driven by what impresses shareholders and what impresses the ‘California ideology,’ and that isn’t change at all.”

Aiden Gomez, the CEO of Cohere, a startup developing large language models for a range of use cases, called RSC a “major accomplishment.” But he stressed that it’s “another piece of evidence that only the largest organizations are able to develop upon and benefit from this technology.” While language models in particular have become more accessible in recent years, thanks to efforts like Hugging Face’s BigScience and EleutherAI, cutting-edge AI systems remain expensive to train and deploy. For example, training language models like Nvidia’s and Microsoft’s Megatron 530B can cost up to millions of dollars — not accounting for storage expenses. Inference — actually running the trained model — is another barrier. One estimate pegs the cost of running GPT-3 on a single Amazon Web Services instance at a minimum of $87,000 per year.

“The big push for us at Cohere is changing this and broadening access to the outputs of powerful supercomputer advances – large language models – through an affordable platform,” Gomez said. “Ultimately, we want to avoid the extremely resource-intensive situation where everyone needs to build their own supercomputer in order to get access to high quality AI.”

Facial recognition for taxes

In other news, the IRS this year announced that it’s contracting with, a Virgnia-based facial recognition company, to verify taxpayers’ identities online. As reported by Gizmodo, users with an account will need to provide a government ID, a selfie, and copies of their bills starting this summer perform certain tasks, like getting a transcript online (but not to e-file taxes).

The IRS pitches the new measures as a way to “protect the security of taxpayers.” But has a problematic history, as evidenced by complaints from residents in the roughly 30 states that contracted with the company for unemployment benefit verification.

In New York, News10NBC detailed accounts of residents struggling to navigate through’s system, including one woman who claimed she’d waited 19 weeks for her benefits. Some have suggested that people of color are more likely to be misidentified by the system — which wouldn’t be surprising or unprecedented. Gender and racial prejudices are a welldocumented phenomenon in facial analysis algorithms, attributable to imbalances in the datasets used to train the algorithms. In a 2020 study, researchers showed that algorithms could even become biased toward facial expressions, like smiling, or different outfits — which might reduce their recognition accuracy.

Worryingly, hasn’t been fully honest about its technology’s capabilities. Contrary to some of’s public statements, the company matches faces against a large database — a practice that privacy advocates fear poses a security risk and could lead to “mission creep” from government agencies.

“This dramatically expands the risk of racial and gender bias on the platform,” Surveillance Technology Oversight Project executive director Albert Fox Cahn told Gizmodo. “More fundamentally, we have to ask why Americans should trust this company with our data if they are not honest about how our data is used. The IRS shouldn’t be giving any company this much power to decide how our biometric data is stored.”

For AI coverage, send news tips to Kyle Wiggers — and be sure to subscribe to the AI Weekly newsletter and bookmark our AI channel, The Machine.

Thanks for reading,

Kyle Wiggers

AI Staff Writer

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Crash Team Rumble gives the bandicoot a competitive multiplayer twist



Activision Blizzard announced Crash Team Rumble today during The Game Awards. The new title will come out in 2023 for PlayStation 5, Xbox Series X/S, PlayStation 4 and Xbox One.

This new Crash Bandicoot game is a four-vs.-four multiplayer affair, with players controlling crash and friends (or foes) in a contest to claim the most Wumpa fruit. Multiplayer spin-offs are not unusual for the series, as Crash has starred in kart racers and the Mario Party-inspired Crash Bash in the past.

Toys For Bob, the studio behind 2020’s Crash Bandicoot 4: It’s About Time, is developing the project. It looks like Activision Blizzard has loosened the developer’s Call of Duty support studio leash.

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Kim Kardashian, Floyd Mayweather Jr. and Fellow Celeb Crypto Promoters Beat Lawsuit



Opinions expressed by Entrepreneur contributors are their own.

Since crypto winter began in the summer of 2022, celebrities have learned some hard lessons about the dangers of shilling new products. Several, including Kim Kardashian and Floyd Mayweather Jr., managed to avoid court-ordered payouts after a California judge dismissed the lawsuit against them, concluding that investors were unaware of the celebs’ promotional efforts.

Taylor Hill | Getty Images

In January, a lawsuit was filed claiming that EthereumMax executives and celebrity promoters took part in a scheme meant to induce investor purchases of EMax tokens — an action that drove up the cryptocurrency‘s price, netting significant profits once the celebs and execs sold their holdings.

Here’s more from CNN:

US District Judge Michael Fitzgerald in Los Angeles said that the investors may amend and refile their proposed class action.

The decision comes as other celebrity promoters face lawsuits from users of the failed cryptocurrency exchange FTX, whose collapse has deepened an ongoing “crypto winter.”

Attorney Sean Masson represented the plaintiffs in the EthereumMax suit. He indicated plans to change investors’ claims by adding “additional facts demonstrating defendants’ wrongdoing and liability.”

CNN also quoted Kim Kardashian’s attorney Michael Rhodes, who had no complaints, saying reps for the celebs were happy with what he termed “the court’s well-reasoned ruling.”

Judge Michael Fitzgerald explained his dismissal by stating that the plaintiffs could not prove any intention to mislead investors. Additionally, investors didn’t say whether they’d seen the promotions, such as Mayweather sporting an EthereumMax logo on his trunks in the ring or Kardashian’s Instagram posts.

The claim was permanently dismissed. According to Judge Fitzgerald, the California statute protects consumers regarding fraud related to real-world products or services — cryptocurrency is considered intangible. However, aggrieved investors may still get their day in court, as they can file suit again once they’ve revised their claims.

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Dune: Awakening is an open world survival MMO



Dune: Awakening made its debut at The Game Awards as an open world survival massively multiplayer online game.

The game from Funcom and Nukklear looks beautiful, full of very detailed imagery of the desert planet Arrakis, also known as Dune. The game asked for beta signups, but we got no other information. Survival is the key word. Dune is a very deadly world, with sandworms and an unforgiving climate.

You can see places in the trailer like the city of Arakeen by day and night, as well as desert biomes and more. It’s not clear when it is coming. With luck, it will be close to the second Dune movie coming in late 2023.

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