'Enormously Risky': How NFTs Lost their Luster

Enthusiasts promote NFTs as a user-friendly entry into the crypto space Justin TALLIS AFP/File
Enthusiasts promote NFTs as a user-friendly entry into the crypto space Justin TALLIS AFP/File
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'Enormously Risky': How NFTs Lost their Luster

Enthusiasts promote NFTs as a user-friendly entry into the crypto space Justin TALLIS AFP/File
Enthusiasts promote NFTs as a user-friendly entry into the crypto space Justin TALLIS AFP/File

A slew of celebrity endorsements helped inflate a multi-billion dollar bubble around digital tokens over the past year, but cryptocurrencies are crashing and some fear NFTs could be next.

NFTs are tokens linked to digital images, "collectable" items, avatars in games or property and objects in the burgeoning virtual world of the metaverse.

The likes of Paris Hilton, Gwyneth Paltrow and Serena Williams have boasted about owning NFTs and many under-30s have been enticed to gamble for the chance of making a quick profit, AFP said.

But the whole sector is suffering a rout at the moment with all the major cryptocurrencies slumping in value, and the signs for NFTs are mixed at best.

The number of NFTs traded in the first quarter of this year slumped by almost 50 percent compared to the previous quarter, according to analysis firm Non-Fungible.

They reckoned the market was digesting the vast amount of NFTs created last year, with the resale market just getting off the ground.

Monitoring firm CryptoSlam reported a dramatic tail-off in May, with just $31 million spent on art and collectibles in the week to May 15, the lowest figure all year.

A symbol of the struggle is the forlorn attempt to re-sell an NFT of Twitter founder Jack Dorsey's first tweet.

Dorsey managed to sell the NFT for almost $3 million last year but the new owner cannot find anyone willing to pay more than $20,000.

The year of scams
Molly White, a prominent critic of the crypto sphere, told AFP there were many possible reasons for the downturn.

"It could be a general decrease in hype, it could be fear of scams after so many high-profile ones, or it could be people tightening their belts," she said.

The reputation of the industry has been hammered for much of the year.

The main exchange, OpenSea, admitted in January that more than 80 percent of the NFTs created with its free tool were fraudulent -- many of them copies of other NFTs or famous artworks reproduced without permission.

"There's a bit of everything on OpenSea," said Olivier Lerner, co-author of the book "NFT Mine d'Or" (NFT Gold Mine).

"It's a huge site and it's not curated, so you really have no idea what you're buying."

LooksRare, an NFT exchange that overtook OpenSea for volume of sales this year, got into similar problems as its rival.

As many as 95 percent of the transactions on its platform were found to be fake, according to CryptoSlam.

Users were selling NFTs to themselves because LooksRare was offering tokens with every transaction -- no matter what you were buying.

And the amounts lost to scams this year have been eye-watering.

The owners of Axie Infinity, a game played by millions in the Philippines and elsewhere and a key driver of the NFT market, managed to lose more than $500 million in a single swindle.

'Like the lottery'
"As soon as you have a new technology, you immediately have fraudsters circling," lawyer Eric Barbry told AFP.

He pointed out that the NFT market had no dedicated regulation so law enforcement agencies are left to cobble together a response using existing frameworks.

Molly White said strong regulation could help eliminate the extreme speculation but that could, in turn, rob NFTs of their major appeal -- that they can bring quick profits.

"I think less hype would be a good thing -- in its current form, NFT trading is enormously risky and probably unwise for the average person," she said.

NFTs are often likened to the traditional art market because they have no inherent utility and their prices fluctuated wildly depending on trends and hype.

But Olivier Lerner suggested a different comparison.

"It's like the lottery," he said of those seeking big profits from NFTs. "You play, but you never win."



Nations Building Their Own AI Models Add to Nvidia's Growing Chip Demand

FILE PHOTO: AI (Artificial Intelligence) letters and robot hand miniature in this illustration, taken June 23, 2023. REUTERS/Dado Ruvic/Illustration/File Photo
FILE PHOTO: AI (Artificial Intelligence) letters and robot hand miniature in this illustration, taken June 23, 2023. REUTERS/Dado Ruvic/Illustration/File Photo
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Nations Building Their Own AI Models Add to Nvidia's Growing Chip Demand

FILE PHOTO: AI (Artificial Intelligence) letters and robot hand miniature in this illustration, taken June 23, 2023. REUTERS/Dado Ruvic/Illustration/File Photo
FILE PHOTO: AI (Artificial Intelligence) letters and robot hand miniature in this illustration, taken June 23, 2023. REUTERS/Dado Ruvic/Illustration/File Photo

Nations building artificial intelligence models in their own languages are turning to Nvidia's chips, adding to already booming demand as generative AI takes center stage for businesses and governments, a senior executive said on Wednesday.
Nvidia's third-quarter forecast for rising sales of its chips that power AI technology such as OpenAI's ChatGPT failed to meet investors' towering expectations. But the company described new customers coming from around the world, including governments that are now seeking their own AI models and the hardware to support them, Reuters said.
Countries adopting their own AI applications and models will contribute about low double-digit billions to Nvidia's revenue in the financial year ending in January 2025, Chief Financial Officer Colette Kress said on a call with analysts after Nvidia's earnings report.
That's up from an earlier forecast of such sales contributing high single-digit billions to total revenue. Nvidia forecast about $32.5 billion in total revenue in the third quarter ending in October.
"Countries around the world (desire) to have their own generative AI that would be able to incorporate their own language, incorporate their own culture, incorporate their own data in that country," Kress said, describing AI expertise and infrastructure as "national imperatives."
She offered the example of Japan's National Institute of Advanced Industrial Science and Technology, which is building an AI supercomputer featuring thousands of Nvidia H200 graphics processors.
Governments are also turning to AI as a measure to strengthen national security.
"AI models are trained on data and for political entities -particularly nations - their data are secret and their models need to be customized to their unique political, economic, cultural, and scientific needs," said IDC computing semiconductors analyst Shane Rau.
"Therefore, they need to have their own AI models and a custom underlying arrangement of hardware and software."
Washington tightened its controls on exports of cutting-edge chips to China in 2023 as it sought to prevent breakthroughs in AI that would aid China's military, hampering Nvidia's sales in the region.
Businesses have been working to tap into government pushes to build AI platforms in regional languages.
IBM said in May that Saudi Arabia's Data and Artificial Intelligence Authority would train its "ALLaM" Arabic language model using the company's AI platform Watsonx.
Nations that want to create their own AI models can drive growth opportunities for Nvidia's GPUs, on top of the significant investments in the company's hardware from large cloud providers like Microsoft, said Bob O'Donnell, chief analyst at TECHnalysis Research.