Meta Platforms CEO Mark Zuckerberg arrives at federal court in San Jose, California, on Dec. 20, 2022.
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Meta is expanding its effort to identify images doctored by artificial intelligence as it seeks to weed out misinformation and deepfakes ahead of upcoming elections around the world.
The company is building tools to identify AI-generated content at scale when it appears on Facebook, Instagram and Threads, it announced Tuesday.
Until now, Meta only labeled AI-generated images developed using its own AI tools. Now, the company says it will seek to apply those labels on content from Google, OpenAI, Microsoft, Adobe, Midjourney and Shutterstock.
The labels will appear in all the languages available on each app. But the shift won’t be immediate.
In the blog post, Nick Clegg, Meta’s president of global affairs, wrote that the company will begin to label AI-generated images originating from external sources “in the coming months” and continue working on the problem “through the next year.”
The added time is needed to work with other AI companies to “align on common technical standards that signal when a piece of content has been created using AI,” Clegg wrote.
Election-related misinformation caused a crisis for Facebook after the 2016 presidential election because of the way foreign actors, largely from Russia, were able to create and spread highly charged and inaccurate content. The platform was repeatedly exploited in the ensuing years, most notably during the Covid pandemic, when people used the platform to spread vast amounts of misinformation. Holocaust deniers and QAnon conspiracy theorists also ran rampant on the site.
Meta is trying to show that it’s prepared for bad actors to use more advanced forms of technology in the 2024 cycle.
While some AI-generated content is easily detected, that’s not always the case. Services that claim to identify AI-generated text, such as essays, have been shown to exhibit bias against non-native English speakers. It’s not much easier for images and videos, though there are often signs.
Meta is looking to minimize uncertainty by working mainly with other AI companies that use invisible watermarks and certain types of metadata in the images created on their platforms. However, there are ways to remove watermarks, a problem that Meta plans to address.
“We’re working hard to develop classifiers that can help us to automatically detect AI-generated content, even if the content lacks invisible markers,” Clegg wrote. “At the same time, we’re looking for ways to make it more difficult to remove or alter invisible watermarks.”
Audio and video can be even harder to monitor than images, because there’s not yet an industry standard for AI companies to add any invisible identifiers.
“We can’t yet detect those signals and label this content from other companies,” Clegg wrote.
Meta will add a way for users to voluntarily disclose when they upload AI-generated video or audio. If they share a deepfake or other form of AI-generated content without disclosing it, the company “may apply penalties,” the post says.
“If we determine that digitally created or altered image, video or audio content creates a particularly high risk of materially deceiving the public on a matter of importance, we may add a more prominent label if appropriate,” Clegg wrote.
Amazon Web Services is set to announce an update to its Graviton4 chip that includes 600 gigabytes per second of network bandwidth, what the company calls the highest offering in the public cloud.
Ali Saidi, a distinguished engineer at AWS, likened the speed to a machine reading 100 music CDs a second.
Graviton4, a central processing unit, or CPU, is one of many chip products that come from Amazon’s Annapurna Labs in Austin, Texas. The chip is a win for the company’s custom strategy and putting it up against traditional semiconductor players like Intel and AMD.
At AWS’s re:Invent 2024 conference last December, the company announced Project Rainier – an AI supercomputer built for startup Anthropic. AWS has put $8 billion into backing Anthropic.
AWS Senior Director for Customer and Project Engineering Gadi Hutt said Amazon is looking to reduce AI training costs and provide an alternative to Nvidia’s expensive graphics processing units, or GPUs.
Anthropic’s Claude Opus 4 AI model is trained on Trainium2 GPUs, according to AWS, and Project Rainier is powered by over half a million of the chips – an order that would have traditionally gone to Nvidia.
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Hutt said that while Nvidia’s Blackwell is a higher-performing chip than Trainium2, the AWS chip offers better cost performance.
“Trainium3 is coming up this year, and it’s doubling the performance of Trainium2, and it’s going to save energy by an additional 50%,” he said.
The demand for these chips is already outpacing supply, according to Rami Sinno, director of engineering at AWS’ Annapurna Labs.
“Our supply is very, very large, but every single service that we build has a customer attached to it,” he said.
With Graviton4’s upgrade on the horizon and Project Rainier’s Trainium chips, Amazon is demonstrating its broader ambition to control the entire AI infrastructure stack, from networking to training to inference.
And as more major AI models like Claude 4 prove they can train successfully on non-Nvidia hardware, the question isn’t whether AWS can compete with the chip giant — it’s how much market share it can take.
The release schedule for the Graviton4 update will be provided by the end of June, according to an AWS spokesperson.
The U.S. banking giant told CNBC on Tuesday that it’s planning to launch a so-called deposit token on Coinbase’s public blockchain Base, which is built on top of the Ethereum network. Each deposit token is meant to serve as a digital representation of a commercial bank deposit.
JPMD will offer clients round-the-clock settlement as well as the ability to pay interest to holders. It is a so-called “permissioned token,” meaning it is only available to JPMorgan’s institutional clients — unlike many stablecoins, which are publicly available.
“We see institutions using JPMD for onchain digital asset settlement solutions as well as for making cross-border business-to-business transactions,” Naveen Mallela, global co-head of Kinexys, J.P. Morgan’s blockchain unit, told CNBC Tuesday.
“Given the fact that deposit tokens would eventually be interest bearing as well, this would provide better fungibility with existing deposit products that institutions currently use,” he added.
Deposit token vs. stablecoin
JPMorgan said the benefit of launching a deposit token over a stablecoin is that it gives institutional clients a way to move money around faster and easier while still having a close connection with traditional banking systems.
A stablecoin is a type of digital token that’s designed to be pegged 1:1 to the value of a fiat currency at all times. The most popular stablecoins are Tether’s USDT and Circle’s USDC. The entire stablecoin market is worth approximately $262 billion, according to data from CoinGecko.
In the U.S., stablecoins remain broadly unregulated — although this is likely to change soon. The Senate is set to vote Tuesday on the GENIUS Act, legislation that would introduce formal regulation for such tokens.
Elsewhere, the European Union regulates stablecoins under its Markets in Crypto-Assets Regulation, or MiCA, while the U.K. has also laid out plans to regulate the crypto industry. Britain’s Financial Conduct Authority is currently consulting on proposals to require stablecoin issuers to ensure their tokens maintain their value against a given asset.
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JPMorgan’s digital asset chief told CNBC that the bank chose Coinbase as its blockchain partner since the crypto exchange is already a long-standing client and a leader in the crypto space.
JPMD has had “preliminary interest from large institutional players who want more native onchain cash solutions from pre-eminent and reputed financial institutions,” Mallela added.
Speculation had been building around JPMorgan’s new crypto offering after a trademark application filed by the bank for “JPMD” was made public Monday.
The trademark outlined a broad range of crypto services under the JPMD name, including trading, exchange, transfer and payment services for digital assets.
Various crypto media outlets had speculated whether the bank was about to launch its own stablecoin. However, JPMorgan says that, while its token may share some similarities with a stablecoin, it’s ultimately a different kind of product.
From left, Cliff Obrecht, Canva’s co-founder and chief operating officer, and George Howes, co-founder and CEO of MagicBrief, pose for a photo at the Cannes Lions festival in Cannes, France, in June 2025.
Canva
Canva has grown into a $32 billion startup through its popular design tools used for easily creating images, marketing material and presentations.
Now the company, with its 12th acquisition, is buying its way into the analytics market.
Canva said on Tuesday that it’s buying MagicBrief, whose technology is used for analyzing ad performance, for an undisclosed sum. With MagicBrief, companies can track spending and engagement on their ads and see what’s working well for competitors.
Around 240 million people use Canva’s products, which compete with offerings from Adobe’s Creative Cloud. The company has been deepening its capabilities in artificial intelligence, incorporating it into photo editing, coding and by incorporating chatbots.
“We feel like, especially with AI, we can really democratize marketing and allow marketers to do a lot more with less,” Cliff Obrecht, Canva’s co-founder and chief operating officer, said in an interview.
Canva, which ranked fifth on CNBC’s latest Disruptor 50 list, has raised over $560 million, and was valued most recently at $32 billion, though that’s a step down from its peak of $40 billion in 2021, when private markets were at their frothiest. Obrecht said the company has $1 billion in the bank.
Canva plans to incorporate MagicBrief into a broader product that it will announce later this year, Obrecht said. In October, Adobe announced the availability of a tool for creating ads with AI and then tracking performance.
Meanwhile, Alphabet, Amazon, Meta and Reddit are all pushing generative AI systems to boost the reach of online ads. Some marketers have used Meta’s offerings to tweak the visual appearance of their ads with hopes of gaining traction with certain audiences, CNBC reported in December.
Founded in 2022, MagicBrief has 14 employees and is based in Canva’s hometown of Sydney, Australia. In 2023, the company announced a $2 million funding round, with investments from Archangel and Blackbird, which was Canva’s first investor. The startup has tens of millions of dollars in annualized revenue, Obrecht said.
Canva, which started up in 2013, has 5,500 employees, with over $3 billion in annualized revenue. It’s one of the companies that venture capitalists are most excited about as an IPO candidate, but Obrecht said there won’t be an offering this year.
The focus, he said, is winning “over the next 10 years,” and not just hitting quarterly numbers.
“We feel that’s very short-sighted, and public markets do gravitate you more to quarter-on-quarter performance,” he said.
— CNBC’s Jonathan Vanian contributed to this report.