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.
Pau Barrena | Afp | Getty Images
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.”
Other tech leaders see AGI arriving even sooner. Cisco’s Chief Product Officer Jeetu Patel thinks there’s a chance we could see an example of AGI emerge as soon as this year. “There’s three major phases” to AI, Patel told CNBC in an interview at the Mobile World Congress event in Barcelona earlier this month.
“There’s the basic AI that we’re all experience right now. Then there is artificial general intelligence, where the cognitive capabilities meet those of humans. Then there’s what they call superintelligence,” Patel said.
“I think you will see meaningful evidence of AGI being in play in 2025. We’re not talking about years away,” he added. “I think superintelligence is, at best, a few years out.”
Artificial super intelligence, or ASI, is expected to arrive after AGI and surpass human intelligence. However, “no one really knows” when such a breakthrough will happen, Hassabis said Monday.
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.
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.
Nvidia CEO Jensen Huang arrives to attend the opening ceremony of Siliconware Precision Industries Co. (SPIL)’s Tan Ke Plant site in Taichung, Taiwan Jan. 16, 2025.
Ann Wang | Reuters
Nvidia announced new chips for building and deploying artificial intelligence models at its annual GTC conference on Tuesday.
CEO Jensen Huang revealed Blackwell Ultra, a family of chips shipping in the second half of this year, as well as Vera Rubin, the company’s next-generation graphics processing unit, or GPU, that is expected to ship in 2026.
Nvidia’s sales are up more than sixfold since its business was transformed by the release of OpenAI’s ChatGPT in late 2022. That’s because its “big GPUs” have most of the market for developing advanced AI, a process called training.
Software developers and investors are closely watching the company’s new chips to see if they offer enough additional performance and efficiency to convince the company’s biggest end customers — cloud companies including Microsoft, Google and Amazon — to continue spending billions of dollars to build data centers based around Nvidia chips.
“This last year is where almost the entire world got involved. The computational requirement, the scaling law of AI, is more resilient, and in fact, is hyper-accelerated,” Huang said.
Tuesday’s announcements are also a test of Nvidia’s new annual release cadence. The company is striving to announce new chip families on an every-year basis. Before the AI boom, Nvidia released new chip architectures every other year.
The GTC conference in San Jose, California, is also a show of strength for Nvidia.
The event, Nvidia’s second in-person conference since the pandemic, is expected to have 25,000 attendees and hundreds of companies discussing the ways they use the company’s hardware for AI. That includes Waymo, Microsoft and Ford, among others. General Motors also announced that it will use Nvidia’s service for its next-generation vehicles.
The chip architecture after Rubin will be named after physicist Richard Feynman, Nvidia said on Tuesday, continuing its tradition of naming chip families after scientists. Nvidia’s Feynman chips are expected to be available in 2028, according to a slide displayed by Huang.
Nvidia will also showcase its other products and services at the event.
For example, Nvidia announced new laptops and desktops using its chips, including two AI-focused PCs called DGX Spark and DGX Station that will be able to run large AI models such as Llama or DeepSeek. The company also announced updates to its networking parts for tying hundreds or thousands of GPUs together so they work as one, as well as a software package called Dynamo that helps users get the most out of their chips.
Jensen Huang, co-founder and chief executive officer of Nvidia Corp., speaks during the Nvidia GPU Technology Conference (GTC) in San Jose, California, US, on Tuesday, March 18, 2025.
David Paul Morris | Bloomberg | Getty Images
Vera Rubin
Nvidia expects to start shipping systems on its next-generation GPU family in the second half of 2026.
The system has two main components: a CPU, called Vera, and a new GPU design, called Rubin. It’s named after astronomer Vera Rubin.
Vera is Nvidia’s first custom CPU design, the company said, and it’s based on a core design they’ve named Olympus.
Previously when it needed CPUs, Nvidia used an off-the-shelf design from Arm. Companies that have developed custom Arm core designs, such as Qualcomm and Apple, say that they can be more tailored and unlock better performance.
The custom Vera design will be twice as fast as the CPU used in last year’s Grace Blackwell chips, the company said.
When paired with Vera, Rubin can manage 50 petaflops while doing inference, more than double the 20 petaflops for the company’s current Blackwell chips. Rubin can also support as much as 288 gigabytes of fast memory, which is one of the core specs that AI developers watch.
Nvidia is also making a change to what it calls a GPU. Rubin is actually two GPUs, Nvidia said.
The Blackwell GPU, which is currently on the market, is actually two separate chips that were assembled together and made to work as one chip.
Starting with Rubin, Nvidia will say that when it combines two or more dies to make a single chip, it will refer to them as separate GPUs. In the second half of 2027, Nvidia plans to release a “Rubin Next” chip that combines four dies to make a single chip, doubling the speed of Rubin, and it will refer to that as four GPUs.
Nvidia said that will come in a rack called Vera Rubin NVL144. Previous versions of Nvidia’s rack were called NVL72.
Jensen Huang, co-founder and chief executive officer of Nvidia Corp., speaks during the Nvidia GPU Technology Conference (GTC) in San Jose, California, US, on Tuesday, March 18, 2025.
David Paul Morris | Bloomberg | Getty Images
Blackwell Ultra
Nvidia also announced new versions of its Blackwell family of chips that it calls Blackwell Ultra.
That chip will be able to produce more tokens per second, which means that the chip can generate more content in the same amount of time as its predecessor, the company said in a briefing.
Nvidia says that means that cloud providers can use Blackwell Ultra to offer a premium AI service for time-sensitive applications, allowing them to make as much as 50 times the revenue from the new chips as the Hopper generation, which shipped in 2023.
Blackwell Ultra will come in a version with two paired to an Nvidia Arm CPU, called GB300, and a version with just the GPU, called B300. It will also come in versions with eight GPUs in a single server blade and a rack version with 72 Blackwell chips.
The top four cloud companies have deployed three times the number of Blackwell chips as Hopper chips, Nvidia said.
DeepSeek
China’s DeepSeek R1 model may have scared Nvidia investors when it was released in January, but Nvidia has embraced the software. The chipmaker will use the model to benchmark several of its new products.
Many AI observers said that DeepSeek’s model, which reportedly required fewer chips than models made in the U.S., threatened Nvidia’s business.
But Huang said earlier this year that DeepSeek was actually a good sign for Nvidia. That’s because DeepSeek uses a process called “reasoning,” which requires more computing power to provide users better answers.
The new Blackwell Ultra chips are better for reasoning models, Nvidia said.
It’s developed its chips to more efficiently do inference, so when new reasoning models require more computing power at the time of deployment, Nvidia’s chips will be able to handle it.
“In the last 2 to 3 years, a major breakthrough happened, a fundamental advance in artificial intelligence happened. We call it agentic AI,” Huang said. “It can reason about how to answer or how to solve a problem.”
Packages ride on a conveyor belt during Cyber Monday, one of the company’s busiest days at an Amazon fulfillment center on December 2, 2024 in Orlando, Florida.
Miguel J. Rodriguez Carrillo | Getty Images
The Federal Trade Commission is going after an e-commerce company that allegedly took millions of dollars from consumers as part of a “passive income” scheme, which spun up Amazon storefronts on their behalf and promised “insane returns” that were higher than the stock market.
The FTC said Tuesday it filed a lawsuit against the company, called Click Profit; its co-founders Craig Emslie and Patrick McGeoghean; and two other business associates. It also asked a judge to bar the parties from doing business temporarily.
The case is the latest example of the FTC cracking down on e-commerce “automation” services. These companies launch and manage online storefronts on behalf of clients, who pay money for the services and the promise of earning tens of thousands of dollars in “passive income.” The companies often make extravagant claims about potential earnings and the use of artificial intelligence technology to guarantee profits. Despite their assurances, consumers frequently end up losing money.
Click Profit, which also operated under the names FBALaunch, Automation Industries and PortfolioLaunch, promised investors they would “build you a massively profitable e-commerce store from the ground up” by selling products on Amazon, Walmart and TikTok, according to the FTC.
The company charged consumers between $45,000 to $75,000 for the initial investment, plus an additional $10,000 or more to pay for inventory, the FTC alleged in its complaint, which was filed in the U.S. District Court for the Southern District of Florida. Click Profit took up to 35% of any profits from their customers’ stores, the complaint states.
The company claimed the business opportunity was “safe, secure and proven to generate wealth,” according to marketing materials referenced in the FTC’s complaint. They posted screenshots of purportedly successful Amazon storefronts, including one they claimed generated product sales of over $540,000 in one month.
Emslie often appeared in TikTok videos and other online ads to pitch prospective consumers. In one ad, he said that “the stock market, real estate or precious metals will never be able to offer you” the level of security offered through investing in Click Profit, according to the FTC’s complaint. Other TikTok videos show him appearing alongside an image of Warren Buffett while “fanning himself” with wads of cash, per the complaint.
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Click Profit talked up its expertise by claiming it had product sourcing partnerships with legitimate brands, including Nike, Disney, Dell, Colgate and Marvel, the complaint alleges. It also claimed to have spent $5 million to build a “super computer” and other AI technologies to locate the “most profitable products,” claiming the super computer had generated “around $100 million in sales,” per the complaint.
The company even implied that investors’ online store could be bought out by venture capital firms connected with Click Profit “at a 3-6x multiple,” the FTC alleged.
“In reality, the highly touted AI technology and brand partnerships do not exist, and the promised earnings never materialize,” the FTC said in its complaint.
Amazon suspended or terminated about 95% of Click Profit’s stores after they violated Amazon’s seller policies, the FTC alleged. After accounting for Amazon’s fees, more than one-fifth of Click Profit’s stores on the platform earned no money at all, while another third earned less than $2,500 in gross lifetime sales, the FTC stated.
As a result, most consumers were unable to recoup their investments and “some are saddled with burdensome credit card debt and unsold products,” according to the FTC, which also said that Click Profit often refused to refund victims their investments and threatened them with legal action if they posted publicly about their experience.
One unnamed consumer mentioned in the lawsuit invested “his life’s savings” in Click Profit and was later terminated as a client “with nothing to show for his payments,” the complaint states. He posted a negative review online and was allegedly approached by Emslie’s attorney, who threatened to sue the consumer and “take everything he and his wife owned,” per the complaint.
The consumer took the reviews down, then asked Emslie whether he could receive a partial refund, according to the FTC.
“The attorney told the consumer that Emslie had responded, ‘F*** off,'” the FTC alleged.
Representatives for Emslie and Click Profit didn’t immediately respond to a request for comment.
The FTC alleges Click Profit violated the FTC Act, the Consumer Review Fairness Act and the Business Opportunity Rule. It seeks to permanently prohibit Click Profit from doing business, as well as monetary relief for the victims.
Food logistics company GrubMarket said Tuesday that it has raised $50 million in a Series G funding round, valuing the San Francisco-based firm at more than $3.5 billion.
The new round includes Liberty Street Funds, 3Spoke Capital, ROC Venture Group, Portfolia, Pegasus Tech Ventures, Joseph Stone Capital, and other unnamed investors.
“GrubMarket has experienced an incredible acceleration in growth over the last 12 months – our revenues surpassed $2 billion in 2024, and we became the largest private food technology company in the United States, while continuing to maintain a strong and healthy financial bottom line,” founder & CEO Mike Xu said in a statement announcing the funding.
The company, founded in 2014, currently does business with more than 70 countries, serving businesses and consumers in all 50 states plus Canada, and has over 12,000 employees.
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Despite a tough macroeconomic environment fueled by uncertainty surrounding tariffs, much of the company’s growth has come through acquisitions. Companies that GrubMarket acquires use its software suite, which includes sales and online ordering features, inventory management, lot traceability, and automated routing and logistics.
The company says the funding will be used to double down on artificial intelligence.
“As our business model is highly sustainable, this funding round was not a necessity, but rather an opportunity to align our valuation with the scale and strength of our business growth, our AI tech innovations, and the significant value we create for the industry,” Xu said.
The company’s Farm-GPT, an analytics tool powered by generative AI that uses real-time and historical pricing data from USDA and proprietary sources, helps farmers and growers maximize profits and optimize crop selection. It also has a broader GrubAssist suite of AI-powered virtual assistants delivering real-time business insights and analysis.
GrubMarket has been named to CNBC’s annual Disruptor 50 list the past two consecutive years, ranked No. 23 in 2024 and No. 41 in 2023.
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