Llion Jones had a big role at Google, where he worked for almost 12 years. He was one of eight authors of the pivotal Transformers research paper, which is central to the latest in generative artificial intelligence.
However, like all of his co-authors, Jones has now left Google. He’s joining fellow ex-Google researcher David Ha to build a generative AI research lab in Tokyo called Sakana AI. Jones said that while he has no ill will toward Google, he realized that the company’s size was keeping him from doing the kind of work he wanted to pursue.
“It’s just a side effect of big company-itis,” Jones told CNBC in an interview. “I think the bureaucracy had built to the point where I just felt like I couldn’t get anything done.”
Jones, who studied AI in college and has a masters in advanced computer science from the University of Birmingham, is at the center of the action. The 2017 paper he helped write at Google laid out innovations that played into OpenAI’s creation of the viral chatbot ChatGPT. The T stands for Transformers, an architecture behind much of today’s frenetic generative AI activity.
“We’re kind of crazy,” Jones said. “We’re looking at nature-inspired methods to see if we can find a different way of doing things, rather than doing a huge, humongous model.” Sakana isn’t announcing any investors.
Jones became a software engineer at Google’s YouTube in 2012. According to his LinkedIn profile, he started “researching machine intelligence and natural language understanding” at Google in 2015.
Google is one of a number of large tech companies that hired hordes of researchers in recent years, some straight from universities, to construct AI models aimed at enriching their products. Over time, Jones said he encountered questions about why the software was malfunctioning and whose fault it was. He found it all to be a distraction from the research.
“Every day I would be spending my time trying to get access to resources, trying to get access to data,” Jones said.
Now, after many years building products in labs, Google is rushing to incorporate generative AI, including large language models (LLMs), into its search engine, YouTube and other products. The models can summarize information and come up with human-like responses to written questions.
In Jones’ view, Google is focusing “the entire company around this one technology,” and innovation is more challenging “because that’s quite a restrictive framework,” he said.
Ha said he and Jones have spoken with others who want to work on LLMs, but they haven’t finalized their plans.
“I would be surprised if language models were not part of the future,” said Ha, who left Google last year to be head of research at startup Stability AI. He said he doesn’t want Sakana to just be another company with an LLM.
Both Jones and Ha have unflattering things to say about OpenAI, which has brought the concept of generative AI to the mainstream but raised billions of dollars from Microsoft and other investors to do so. Ha described it as “becoming so big and a bit bureaucratic,” no different really than groups within Google.
Jones said he doesn’t think OpenAI is all that innovative. He said that for OpenAI’s two biggest successes, ChatGPT and the DALL-E service for creating images with a few words of text, the startup took research he performed at Google and applied it on a large scale, making refinements along the way but holding off on sharing the developments with the community. While OpenAI has released neither of the technologies under an open-source license, it has published papers on some of the underlying systems.
Representatives from Google and OpenAI didn’t respond to requests for comment.
Ha said Sakana has brought on a part-time researcher from academia, and the company will eventually hire more people. Asked if they’ve added any other Google employees, Ha said, “Not yet.”
Founded in 2022, ElevenLabs is an AI voice generation startup based in London. It competes with the likes of Speechmatics and Hume AI.
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LONDON — ElevenLabs, a London-based startup that specializes in generating synthetic voices through artificial intelligence, has revealed plans to be IPO-ready within five years.
The company told CNBC it is targeting major global expansion as it prepares for an initial public offering.
“We expect to build more hubs in Europe, Asia and South America, and just keep scaling,” Mati Staniszewski, ElevenLabs’ CEO and co-founder, told CNBC in an interview at the firm’s London office.
He identified Paris, Singapore, Brazil and Mexico as potential new locations. London is currently ElevenLabs’ biggest office, followed by New York, Warsaw, San Francisco, Japan, India and Bangalore.
Staniszewski said the eventual aim is to get the company ready for an IPO in the next five years.
“From a commercial standpoint, we would like to be ready for an IPO in that time,” he said. “If the market is right, we would like to create a public company … that’s going to be here for the next generation.”
Undecided on location
Founded in 2022 by Staniszewski and Piotr Dąbkowski, ElevenLabs is an AI voice generation startup that competes with the likes of Speechmatics and Hume AI.
The company divides its business into three main camps: consumer-facing voice assistants, integrations with corporates such as Cisco, and tailor-made applications for specific industries like health care.
Staniszewski said the firm hasn’t yet decided where it could list, but that this decision will largely rest on where most of its users are located at the time.
“If the U.K. is able to start accelerating,” ElevenLabs will consider London as a listing destination, Staniszewski said.
The city has faced criticisms from entrepreneurs and venture capitalists that its stock market is unfavorable toward high-growth tech firms.
Meanwhile, British money transfer firm Wiselast month said it plans to move its primary listing location to the U.S.,
Fundraising plans
ElevenLabs was valued at $3.3 billion following a recent $180 million funding round. The company is backed by the likes of Andreessen Horowitz, Sequoia Capital and ICONIQ Growth, as well as corporate names like Salesforce and Deutsche Telekom.
Staniszewski said his startup was open to raising more money from VCs, but it would depend on whether it sees a valid business need, like scaling further in other markets. “The way we try to raise is very much like, if there’s a bet we want to take, to accelerate that bet [we will] take the money,” he said.
Synopsys logo is seen displayed on a smartphone with the flag of China in the background.
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The U.S. government has rescinded its export restrictions on chip design software to China, U.S.-based Synopsys announced Thursday.
“Synopsys is working to restore access to the recently restricted products in China,” it said in a statement.
The U.S. had reportedly told several chip design software companies, including Synopsys, in May that they were required to obtain licenses before exporting goods, such as software and chemicals for semiconductors, to China.
The U.S. Commerce Department did not immediately respond to a request for comment from CNBC.
The news comes after China signaled last week that they are making progress on a trade truce with the U.S. and confirmed conditional agreements to resume some exchanges of rare earths and advanced technology.
The Datadog stand is being displayed on day one of the AWS Summit Seoul 2024 at the COEX Convention and Exhibition Center in Seoul, South Korea, on May 16, 2024.
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Datadog shares were up 10% in extended trading on Wednesday after S&P Global said the monitoring software provider will replace Juniper Networks in the S&P 500 U.S. stock index.
S&P Global is making the change effective before the beginning of trading on July 9, according to a statement.
Computer server maker Hewlett Packard Enterprise, also a constituent of the index, said earlier on Wednesday that it had completed its acquisition of Juniper, which makes data center networking hardware. HPE disclosed in a filing that it paid $13.4 billion to Juniper shareholders.
Over the weekend, the two companies reached a settlement with the U.S. Justice Department, which had sued in opposition to the deal. As part of the settlement, HPE agreed to divest its global Instant On campus and branch business.
While tech already makes up an outsized portion of the S&P 500, the index has has been continuously lifting its exposure as the industry expands into more areas of society.
Stocks often rally when they’re added to a major index, as fund managers need to rebalance their portfolios to reflect the changes.
New York-based Datadog went public in 2019. The company generated $24.6 million in net income on $761.6 million in revenue in the first quarter of 2025, according to a statement. Competitors include Cisco, which bought Splunk last year, as well as Elastic and cloud infrastructure providers such as Amazon and Microsoft.
Datadog has underperformed the broader tech sector so far this year. The stock was down 5.5% as of Wednesday’s close, while the Nasdaq was up 5.6%. Still, with a market cap of $46.6 billion, Datadog’s valuation is significantly higher than the median for that index.