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Google DeepMind co-founder and Chief Executive Officer Demis Hassabis speaks during the Mobile World Congress, the telecom industry’s biggest annual gathering, in Barcelona, Spain, Feb. 26, 2024.

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LONDON — Artificial intelligence that can match humans at any task is still some way off — but it’s only a matter of time before it becomes a reality, according to the CEO of Google DeepMind.

Speaking at a briefing in DeepMind’s London offices on Monday, Demis Hassabis said that he thinks artificial general intelligence (AGI) — which is as smart or smarter than humans — will start to emerge in the next five or 10 years.

“I think today’s systems, they’re very passive, but there’s still a lot of things they can’t do. But I think over the next five to 10 years, a lot of those capabilities will start coming to the fore and we’ll start moving towards what we call artificial general intelligence,” Hassabis said.

Hassabis defined AGI as “a system that’s able to exhibit all the complicated capabilities that humans can.”

“We’re not quite there yet. These systems are very impressive at certain things. But there are other things they can’t do yet, and we’ve still got quite a lot of research work to go before that,” Hassabis said.

Hassabis isn’t alone in suggesting that it’ll take a while for AGI to appear. Last year, the CEO of Chinese tech giant Baidu Robin Li said he sees AGI is “more than 10 years away,” pushing back on excitable predictions from some of his peers about this breakthrough taking place in a much shorter timeframe.

Some time to go yet

Hassabis’ forecast pushes the timeline to reach AGI some way back compared to what his industry peers have been sketching out.

Dario Amodei, CEO of AI startup Anthropic, told CNBC at the World Economic Forum in Davos, Switzerland in January that he sees a form of AI that’s “better than almost all humans at almost all tasks” emerging in the “next two or three years.”

Watch CNBC's full interview with Anthropic CEO Dario Amodei

What’s needed to reach AGI?

Hassabis said that the main challenge with achieving artificial general intelligence is getting today’s AI systems to a point of understanding context from the real world.

Big Tech hunts for AGI at any cost

While it’s been possible to develop systems that can break down problems and complete tasks autonomously in the realm of games — such as the complex strategy board game Go — bringing such a technology into the real world is proving harder.

“The question is, how fast can we generalize the planning ideas and agentic kind of behaviors, planning and reasoning, and then generalize that over to working in the real world, on top of things like world models — models that are able to understand the world around us,” Hassabis said.”

“And I think we’ve made good progress with the world models over the last couple of years,” he added. “So now the question is, what’s the best way to combine that with these planning algorithms?”

Hassabis and Thomas Kurian, CEO of Google’s cloud computing division, said that so-called “multi-agent” AI systems are a technological advancement that’s gaining a lot of traction behind the scenes.

Hassabis said lots of work is being done to get to this stage. One example he referred to is DeepMind’s work getting AI agents to figure out how to play the popular strategy game “Starcraft.”

“We’ve done a lot of work on that with things like Starcraft game in the past, where you have a society of agents, or a league of agents, and they could be competing, they could be cooperating,” DeepMind’s chief said.

“When you think about agent to agent communication, that’s what we’re also doing to allow an agent to express itself … What are your skills? What kind of tools do you use?” Kurian said.

“Those are all elements that you need to be able to ask an agent a question, and then once you have that interface, then other agents can communicate with it,” he added.

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Baidu, once China’s generative AI leader, is battling to regain its position

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Baidu, once China’s generative AI leader, is battling to regain its position

Pictured here is the Ernie bot mobile interface, with the Baidu search engine home page in the background.

Future Publishing | Future Publishing | Getty Images

Chinese tech giant Baidu has released two new free-to-use artificial intelligence models as it vies to regain its leading position in the country’s fiercely competitive AI space. 

The Baidu models launched Sunday included the company’s first reasoning-focused model, and come ahead of plans to move toward an open-source strategy. 

However, experts told CNBC that while the release of the models is a positive development for Baidu, they also highlight how it is playing catch up as its Ernie bot — one of China’s earliest versions of a ChatGPT-like chatbot — struggles to gain widespread adoption. 

“The new models make Baidu more competitive since the company has been lagging behind in a reasoning model release,” Lian Jye Su, chief analyst at Omdia, told CNBC.

A reasoning model is a large language model that breaks down tasks into smaller pieces and considers multiple approaches before generating a response. It is designed to process complex problems in a similar way to humans.

Chinese startup DeepSeek upended the global AI race and transformed China’s ecosystem in January when it released its R1 reasoning model, which rivaled American competitors despite costing a fraction of the price.

Baidu has said its new ERNIE X1 reasoning model “delivers performance on par with DeepSeek R1 at only half the price,” and has “stronger understanding, planning, reflection, and evolution capabilities.” CNBC has not been able to independently verify this claim.

According to Wei Sun, principal analyst of artificial intelligence at Counterpoint Research, Baidu’s future competitiveness could hinge on whether its new models deliver on the promised performance and cost advantages. 

“Baidu is clearly in catch-up mode, largely due to its slow innovation pace and underestimating rapid shifts in market dynamics,” Sun said. 

What happened? 

Baidu rolled out its first generative AI platform to the public in 2023, giving China one of its first answers to OpenAI’s popular AI chatbot ChatGPT. 

However, despite initial momentum, Baidu’s Ernie product has since been eclipsed by competitors including startups as well as large-tech companies such as Alibaba and ByteDance.

Experts list a number of reasons for Baidu’s struggles and slow rate of innovation.

“Baidu fell behind when they tried to build proprietary models and compete for funding for AI,” Ray Wang, principal analyst and founder of Constellation Research, told CNBC. He added that the company has also suffered from recent government crackdowns and was distracted by “regulatory nonsense.” 

CFOTO | Future Publishing | Getty Images

Proprietary models keep their source code and underlying architecture confidential, in contrast to models from the likes of DeepSeek, whose source code is made freely available on the open web for possible modification and redistribution.

“Using a closed-source approach means that [Baidu] was training its model from scratch whereas the open-source models were able to leverage certain parts that were communal to developers,” said Kai Wang, a senior equity analyst for Morningstar. 

Baidu, however, said last month that it would make its next-generation AI model Ernie open-source from June 30, according to Reuters.

“Baidu has always been very supportive of its proprietary business model and was vocal against open source, but disruptors like DeepSeek have proven that open source models can be as competitive,” said Omdia’s Su. 

He added that Baidu is “merely following the footstep” of its biggest competitors in China, namely Alibaba, DeepSeek, and Tencent, which have all now released open-source models. 

Baidu’s advantages

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Baidu shares jump 10% following release of new open-source AI models

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Baidu shares jump 10% following release of new open-source AI models

ZHEJIANG, CHINA – MARCH 16 2023: A view of the logo of ERNIE Bot, an AI chatbot service developed by Chinese search engine Baidu, March 16, 2023.

Long Wei | Future Publishing | Getty Images

Shares of Chinese tech giant Baidu were trading up 10.7% in Asia on Tuesday, as investors appeared to react positively to the release of two new AI models over the weekend.  

Baidu released two new artificial intelligence models on Sunday, including the latest version of its foundational “Ernie” model and a new reasoning model that it said rivaled DeepSeek’s R1 model. CNBC is not able to verify these claims.

A reasoning model is a large language model designed to process complex problems in a similar way to humans, breaking prompts down into smaller pieces and considering multiple approaches before generating responses. 

According to Kai Wang, a senior equity analyst for Morningstar, the stock jump is likely a “delayed reaction” to the new models as Baidu vies to regain a leading position in China’s AI space. 

“The stock also hasn’t gotten as much love as the other hyperscalers but still it’s a platform that stands to benefit from greater AI demand since enterprises will need someone to help them with hosting, scaling, and computing power,” he said.

A hyperscaler refers to a major cloud computing company that provides massive data centers for computing storage and demands.

Baidu said on Sunday that its ERNIE X1 reasoning model “delivers performance on par with DeepSeek R1 at only half the price,” and has “stronger understanding, planning, reflection, and evolution capabilities.”

Chinese AI start-up DeepSeek upended the AI industry in January when it released its R1 open-source reasoning model, which rivaled models of American competitors, despite claims it was produced at a fraction of the cost and with far less powerful chips.

DeepSeek quickly overtook Baidu in China’s AI race, despite the company being one of the first in the market to launch a ChatGPT-like chatbot with its Ernie Bot, according to Wei Sun, principal analyst of artificial intelligence at Counterpoint Research, who noted other tech giants like Alibaba and Bytedance have also pulled ahead.

“Baidu’s competitiveness hinges on whether its new models truly deliver on the promised performance and cost advantages,” Sun said, noting, however, that AI pricing, particularly in China’s market, is highly fluid.

Baidu’s latest models, similarly to DeepSeek’s R1, have been released as open-sourced, meaning the source code is freely available on the open web for possible modification and redistribution. 

This represents a change from Baidu’s prior strategy of focusing on proprietary models. 

“By open-sourcing its models, Baidu seeks to once again position its technology as an industry standard, strengthening its influence in the AI community and expand its market share,” said Sun.

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Software startup Rippling sues competitor Deel, claiming a spy carried out ‘corporate espionage’

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Software startup Rippling sues competitor Deel, claiming a spy carried out 'corporate espionage'

Co-founder & CEO of Rippling Parker Conrad speaks onstage during the TechCrunch Disrupt conference in San Francisco on Oct. 20, 2022

Kimberly White | TechCrunc | Getty Images

Human resources software startup Rippling sued competitor Deel in federal district court on Monday, claiming that “Deel cultivated a spy” to orchestrate a trade-secret theft.

The employee met with Deel executives and passed internal Rippling records to a reporter, according to San Francisco-based Rippling’s complaint in the U.S. District Court for California’s Northern District.

Rippling claimed in the filing Deel violated the 1970 Racketeer Influenced and Corrupt Organizations Act and misappropriated trade secrets.

The two startups are among the most world’s most valuable. Investors valued Rippling at $13.5 billion in a funding round announced last year, while Deel told media outlets in 2023 that it was worth $12 billion. Deel ranked No. 28 on CNBC’s 2024 Disruptor 50 list.

“Weeks after Rippling is accused of violating sanctions law in Russia and seeding falsehoods about Deel, Rippling is trying to shift the narrative with these sensationalized claims,” a Deel spokesperson told CNBC in an email. “We deny all legal wrongdoing and look forward to asserting our counterclaims.”

Rippling confirmed its findings earlier this month. The company’s general counsel sent a letter to three Deel executives that referred to a new Slack channel, and the Deel spy quickly looked for it. Rippling subsequently served a court order to the spy at its office in Dublin, Ireland requiring him to preserve information on his mobile phone.

“Deel’s spy lied to the court-appointed solicitor about the location of his phone, and then locked himself in a bathroom — seemingly in order to delete evidence from his phone — all while the independent solicitor repeatedly warned him not to delete materials from his device and that his non-compliance was breaching a court order with penal endorsement,” Rippling said in Monday’s filing. “The spy responded: ‘I’m willing to take that risk.’ He then fled the premises.”

Rippling hired the person whom it calls the Deel spy for a management role in 2023, as the two companies were becoming more competitive, the filing says. Deel had used Rippling’s software, but Rippling opted to not renew Deel’s contract, according to the legal filing.

The spy repeatedly accessed information about Rippling customers, quotes, sales calls, demos and support requests in internal Slack repositories, according to the filing. He found and downloaded Rippling’s guidance on how to go up against Deel for prospective business, too, the filing says.

Then, in February, a reporter at The Information sent an inquiry to Rippling that included Slack messages from inside Rippling, which the startup concluded were collected by the Deel spy, the filing says. Additionally, email records suggest that the spy met with Deel executives in December, Rippling said in the complaint.

“We always prefer to win by building the best products and we don’t turn to the legal system lightly,” Parker Conrad, Rippling’s co-founder and CEO, said in a Monday X post. “But we are taking this extraordinary step to send a clear message that this type of misconduct has no place in our industry.”

This isn’t Conrad’s first legal entanglement over data access. In 2015, ADP dropped a defamation lawsuit that claimed his previous HR startup, Zenefits, had obtained information from clients in order to provide them with payment processing services.

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