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TAIPEI, TAIWAN – 2023/05/29: Nvidia president and CEO Jensen Huang speaks at a keynote presentation while holding the Grace Hopper superchip at COMPUTEX. The COMPUTEX 2023 runs from 30 May to 02 June 2023 and gathers over 1,000 exhibitors from 26 different countries with 3000 booths to display their latest products and to sign orders with foreign buyers. (Photo by Walid Berrazeg/SOPA Images/LightRocket via Getty Images)

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Fresh off Nvidia‘s stellar earnings report and subsequent stock rally, its CEO Jensen Huang is predicting that the world is entering a “new computing era”.

He says anyone can be a programmer, just by speaking to the computer, and the desired functions will come forth.

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No longer will programmers need to write lines of code, only for it to display the dreaded “fail to compile” because of a missing semicolon.

How will this be done? By generative artificial intelligence, Huang said during his keynote speech at the Computex forum in Taiwan on Monday.

At his first public keynote since the pandemic, Huang introduced a new AI supercomputer platform called DGX GH200, aimed at building generative AI models.

Generative AI is a type of artificial intelligence technology that can produce various types of content, including text, imagery, audio and synthetic data.

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“This computer doesn’t care how you program it, it will try to understand what you mean, because it has this incredible large language model capability. And so the programming barrier is incredibly low,” Huang pointed out.

“We have closed the digital divide. Everyone is a programmer. Now, you just have to say something to the computer.”

Nvidia says that generative AI is the “most important computing platform of our generation” as individuals and companies move to create new apps and leverage on generative AI in the process.

Every single computing era, you could do different things that weren’t possible before.

Jensen Huang

CEO, Nvidia

Creative professionals will be able to create images with a simple text prompt, while programmers can accelerate application development and debugging efforts, the company said. Even architects can generate 3D models from 2D floor plans.

“Every single computing era, you could do different things that weren’t possible before,” Huang said, adding that “artificial intelligence certainly qualifies.”

He explained that this computing era is “special in several ways”.

The CEO said generative AI is able to understand information other than just text and numbers. It “can now understand multimodality, which is the reason why this computing revolution can impact every industry,” he added.

Unlike traditional models of computer application development, which require new applications and new hardware to accommodate advances like A.I., Huang said generative A.I. will not only be able to impact new applications, but enhance old ones.

“Every application that exists will be better because of A.I…. It can succeed with old applications. And it’s going to have new applications. The rate of progress, because it’s so easy to use, is the reason why it’s growing so fast.”

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Meta approached Perplexity before massive Scale AI deal

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Meta approached Perplexity before massive Scale AI deal

Meta approached Perplexity before massive Scale AI deal

Meta approached artificial intelligence startup Perplexity AI about a potential takeover bid before ultimately investing $14.3 billion into Scale AI, CNBC confirmed on Friday.

The two companies did not finalize a deal, according to two people familiar with the matter who asked not to be named because of the confidential nature of the negotiations.

One person familiar with the talks said it was “mutually dissolved,” while another person familiar with the matter said Perplexity walked away from a potential deal.

Bloomberg earlier reported the talks between Meta and Perplexity. Perplexity declined to comment. Meta did not immediately respond to CNBC’s request for comment.

Meta’s attempt to purchase Perplexity serves as the latest example of Mark Zuckerberg‘s aggressive push to bolster his company’s AI efforts amid fierce competition from OpenAI and Google parent Alphabet. Zuckerberg has grown agitated that rivals like OpenAI appear to be ahead in both underlying AI models and consumer-facing apps, and he is going to extreme lengths to hire top AI talent, as CNBC has previously reported.

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Meta now has a 49% stake in Scale after its multibillion-dollar investment, though the social media company will not have any voting power. Scale AI’s founder Alexandr Wang, along with a small number of other Scale employees, will join Meta as part of the agreement.

Earlier this year, Meta also tried to acquire Safe Superintelligence, which was reportedly valued at $32 billion in a fundraising round in April, as CNBC reported on Thursday.

Daniel Gross, the CEO of Safe Superintelligence, and former GitHub CEO Nat Friedman are joining Meta’s AI efforts, where they will work on products under Wang. Gross runs a venture capital firm with Friedman called NFDG, their combined initials, and Meta will get a stake in the firm.

OpenAI CEO Sam Altman said on the latest episode of the “Uncapped” podcast, which is hosted by his brother, that Meta had tried to poach OpenAI employees by offering signing bonuses as high as $100 million with even larger annual compensation packages.

“I’ve heard that Meta thinks of us as their biggest competitor,” Altman said on the podcast. “Their current AI efforts have not worked as well as they have hoped and I respect being aggressive and continuing to try new things.”

–CNBC’s Kate Rooney contributed to this report

WATCH: Meta tried to buy Perplexity before Scale AI deal

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Why ether ETF inflows have come roaring back from the dead

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Why ether ETF inflows have come roaring back from the dead

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Ether ETFs have finally come to life this year after some started to fear they may be becoming zombie funds.

Collectively, the funds tracking the price of spot ether are on pace for their sixth consecutive week of inflows and eight positive week in the last nine, according to SoSoValue.

The second largest cryptocurrency has become more attractive to institutions in recent weeks largely due to recent regulatory momentum in the U.S. around stablecoins – many of which run on the Ethereum network – the successful IPO of Circle, the issuer of the second-largest stablecoin; and new leadership at the Ethereum Foundation.

“What we’re seeing is institutional recalibration,” said Ben Kurland, CEO at crypto charting and research platform DYOR. “After the initial ETH ETF approval fizzled without a price pop, smart money started quietly building positions. They’re betting not on price momentum but on positioning ahead of utility unlocks like staking access, options listings, and eventually inflows from retirement platforms.”

The first year of ether ETFs, which launched in July 2024, has been characterized by weak demand. While the funds have had spikes in inflows, they’ve trailed far behind bitcoin ETFs in both inflows and investor attention – amassing about $3.9 billion in net inflows since listing versus bitcoin ETFs’ $36 billion in their first year of trading.

“With increasing acceptance of crypto on Wall Street, especially now as a means for payments and remittances, investors are being drawn to ETH ETFs,” said Chris Rhine, head of liquid active strategies at Galaxy Digital.

Additionally, he added, the CME basis on ether – or the price difference between ether futures and the spot price – is higher than that of bitcoin, giving arbitrageurs an opportunity to profit by going long on ether ETFs while shorting futures (a common trading strategy) and contributing to the uptrend in ether ETF inflows.

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Ether (ETH) 1 month

Despite the uptrend in inflows, the price of ether itself is negative for this month and flat over the past month.

For the year, it’s down 25% as it’s been suffering from an identity crisis fueled by uncertainty about Ethereum’s value proposition, weaker revenue since its last big technical upgrade and increasing competition from Solana. Market volatility driven by geopolitical uncertainty this year has not helped.

In March, Standard Chartered slashed its ether price target by more than half. However, the firm also said the coin could still see a turnaround this year.

Since last week’s big spike in inflows, they’ve “slowed but stayed net positive, suggesting conviction, not hype,” Kurland said. “The market looks like a heart monitor, but the buyers are treating it like a long-term infrastructure bet.”

Don’t miss these cryptocurrency insights from CNBC Pro:

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Chip stocks fall on report U.S. could terminate waivers for Taiwan Semi and others

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Chip stocks fall on report U.S. could terminate waivers for Taiwan Semi and others

A motorcycle is seen near a building of the Taiwan Semiconductor Manufacturing Company (TSMC), which is a Taiwanese multinational semiconductor contract manufacturing and design company, in Hsinchu, Taiwan, on April 16, 2025.

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Semiconductor stocks declined Friday following a report that the U.S. is weighing measures that would terminate waivers allowing some chipmakers to send American technology to China.

Commerce Department official Jeffrey Kessler told Samsung Electronics, SK Hynix and Taiwan Semiconductor this week that he wanted to cancel their waivers, which allow them to send U.S. chipmaking tech to their factories in China, the Wall Street Journal reported, citing people familiar with the matter.

The VanEck Semiconductor ETF declined about 1%. Nvidia, Qualcomm and Marvell Technology fell about 1%, while Taiwan Semiconductor slipped about 2%.

The latest reported move by the Commerce Department comes as the U.S. and China hold an unsteady truce over tariffs and trade, with chip controls a key sticking point.

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The countries agreed to the framework of a second trade agreement in London days ago after relations soured following the initial tariff pause in May.

The U.S. issued several chip export changes after the May pause that rattled relations, with China calling the rules “discriminatory.”

U.S. chipmakers have been hit with curbs over the last few years, limiting the ability to sell advanced artificial intelligence chips to China due to national security concerns.

During its earnings report last month, Nvidia said the recent export restriction on its China-bound H20 chips hindered sales by about $8 billion.

Nvidia CEO Jensen Huang told investors on an earnings call that the $50 billion market in China for AI chips is “effectively closed to U.S. industry.” During a CNBC interview in May, he called getting blocked from China’s AI market a “tremendous loss.”

Read the full WSJ report here.

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