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David Silver, leader of the reinforcement learning research group at DeepMind, being awarded an honorary “ninth dan” professional ranking for AlphaGo.
JUNG YEON-JE | AFP | Getty Images

Computer scientists are questioning whether DeepMind, the Alphabet-owned U.K. firm that’s widely regarded as one of the world’s premier AI labs, will ever be able to make machines with the kind of “general” intelligence seen in humans and animals.

In its quest for artificial general intelligence, which is sometimes called human-level AI, DeepMind is focusing a chunk of its efforts on an approach called “reinforcement learning.”

This involves programming an AI to take certain actions in order to maximize its chance of earning a reward in a certain situation. In other words, the algorithm “learns” to complete a task by seeking out these preprogrammed rewards. The technique has been successfully used to train AI models how to play (and excel at) games like Go and chess. But they remain relatively dumb, or “narrow.” DeepMind’s famous AlphaGo AI can’t draw a stickman or tell the difference between a cat and a rabbit, for example, while a seven-year-old can.

Despite this, DeepMind, which was acquired by Google in 2014 for around $600 million, believes that AI systems underpinned by reinforcement learning could theoretically grow and learn so much that they break the theoretical barrier to AGI without any new technological developments.

Researchers at the company, which has grown to around 1,000 people under Alphabet’s ownership, argued in a paper submitted to the peer-reviewed Artificial Intelligence journal last month that “Reward is enough” to reach general AI. The paper was first reported by VentureBeat last week.

In the paper, the researchers claim that if you keep “rewarding” an algorithm each time it does something you want it to, which is the essence of reinforcement learning, then it will eventually start to show signs of general intelligence.

“Reward is enough to drive behavior that exhibits abilities studied in natural and artificial intelligence, including knowledge, learning, perception, social intelligence, language, generalization and imitation,” the authors write.

“We suggest that agents that learn through trial and error experience to maximize reward could learn behavior that exhibits most if not all of these abilities, and therefore that powerful reinforcement learning agents could constitute a solution to artificial general intelligence.”

Not everyone is convinced, however.

Samim Winiger, an AI researcher in Berlin, told CNBC that DeepMind’s “reward is enough” view is a “somewhat fringe philosophical position, misleadingly presented as hard science.”

He said the path to general AI is complex and that the scientific community is aware that there are countless challenges and known unknowns that “rightfully instill a sense of humility” in most researchers in the field and prevent them from making “grandiose, totalitarian statements” such as “RL is the final answer, all you need is reward.”

DeepMind told CNBC that while reinforcement learning has been behind some of its most well-known research breakthroughs, the AI technique accounts for only a fraction of the overall research it carries out. The company said it thinks it’s important to understand things at a more fundamental level, which is why it pursues other areas such as “symbolic AI” and “population-based training.”

“In somewhat typical DeepMind fashion, they chose to make bold statements that grabs attention at all costs, over a more nuanced approach,” said Winiger. “This is more akin to politics than science.”

Stephen Merity, an independent AI researcher, told CNBC that there’s “a difference between theory and practice.” He also noted that “a stack of dynamite is likely enough to get one to the moon, but it’s not really practical.”

Ultimately, there’s no proof either way to say whether reinforcement learning will ever lead to AGI.

Rodolfo Rosini, a tech investor and entrepreneur with a focus on AI, told CNBC: “The truth is nobody knows and that DeepMind’s main product continues to be PR and not technical innovation or products.”

Entrepreneur William Tunstall-Pedoe, who sold his Siri-like app Evi to Amazon, told CNBC that even if the researchers are correct “that doesn’t mean we will get there soon, nor does it mean that there isn’t a better, faster way to get there.”

DeepMind’s “Reward is enough” paper was co-authored by DeepMind heavyweights Richard Sutton and David Silver, who met DeepMind CEO Demis Hassabis at the University of Cambridge in the 1990s.

“The key problem with the thesis put forth by ‘Reward is enough’ is not that it is wrong, but rather that it cannot be wrong, and thus fails to satisfy Karl Popper’s famous criterion that all scientific hypotheses be falsifiable,” said a senior AI researcher at a large U.S. tech firm, who wished to remain anonymous due to the sensitive nature of the discussion.

“Because Silver et al. are speaking in generalities, and the notion of reward is suitably underspecified, you can always either cherry pick cases where the hypothesis is satisfied, or the notion of reward can be shifted such that it is satisfied,” the source added.

“As such, the unfortunate verdict here is not that these prominent members of our research community have erred in any way, but rather that what is written is trivial. What is learned from this paper, in the end? In the absence of practical, actionable consequences from recognizing the unalienable truth of this hypothesis, was this paper enough?”

What is AGI?

While AGI is often referred to as the holy grail of the AI community, there’s no consensus on what AGI actually is. One definition is it’s the ability of an intelligent agent to understand or learn any intellectual task that a human being can.

But not everyone agrees with that and some question whether AGI will ever exist. Others are terrified about its potential impacts and whether AGI would build its own, even more powerful, forms of AI, or so-called superintelligences.

Ian Hogarth, an entrepreneur turned angel investor, told CNBC that he hopes reinforcement learning isn’t enough to reach AGI. “The more that existing techniques can scale up to reach AGI, the less time we have to prepare AI safety efforts and the lower the chance that things go well for our species,” he said.

Winiger argues that we’re no closer to AGI today than we were several decades ago. “The only thing that has fundamentally changed since the 1950/60s, is that science-fiction is now a valid tool for giant corporations to confuse and mislead the public, journalists and shareholders,” he said.

Fueled with hundreds of millions of dollars from Alphabet every year, DeepMind is competing with the likes of Facebook and OpenAI to hire the brightest people in the field as it looks to develop AGI. “This invention could help society find answers to some of the world’s most pressing and fundamental scientific challenges,” DeepMind writes on its website.

DeepMind COO Lila Ibrahim said on Monday that trying to “figure out how to operationalize the vision” has been the biggest challenge since she joined the company in April 2018.

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Disney making $1 billion investment in OpenAI, will allow characters on Sora AI video generator

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Disney making  billion investment in OpenAI, will allow characters on Sora AI video generator

Disney and OpenAI reach three-year licensing agreement

The Walt Disney Company on Thursday announced it will make a $1 billion equity investment in OpenAI and will allow users to make videos with its copyrighted characters on its Sora app.

OpenAI launched Sora in September, and it allows users to create short videos by simply typing in a prompt.

As part of the startup’s new three-year licensing agreement with Disney, Sora users will be able make content with more than 200 characters across Disney, Marvel, Pixar and Star Wars starting next year.

“The rapid advancement of artificial intelligence marks an important moment for our industry, and through this collaboration with OpenAI we will thoughtfully and responsibly extend the reach of our storytelling through generative AI, while respecting and protecting creators and their works,” Disney CEO Bob Iger said in a statement.

Tune in at 10:30 a.m. ET as Disney CEO Bob Iger and OpenAI CEO Sam Altman joins CNBC TV to discuss the media giant’s investment. Watch in real time on CNBC+ or the CNBC Pro stream.

As part of the agreement, Disney said it will receive warrants to purchase additional equity and will become a major OpenAI customer.

Disney is deploying OpenAI’s chatbot ChatGPT to its employees and will work with its technology to build new tools and experiences, according to a release.

When Sora launched this fall, the app rocketed to the top of Apple’s App Store and generated a storm of controversy as users flooded the platform with videos of popular brands and characters.

The Motion Picture Association said in October that OpenAI needed to take “immediate and decisive action” to prevent copyright infringement on Sora.

OpenAI CEO Sam Altman said more “granular control” over character generation was coming, according to a blog post following the launch.

As AI startups have rapidly changed the way that people can interact with content online, media companies, including Disney, have kicked off a series of fresh legal battles to try and protect their intellectual property.

Disney sent a cease and desist letter to Google late on Wednesday alleging the company infringed its copyrights on a “massive scale.” In the letter, which was viewed by CNBC, Disney said Google has been using its copyrighted works to train models and distributing copies of its protected content without authorization.

Universal and Disney have sued the AI image creator Midjourney, alleging that the company improperly used and distributed AI-generated characters from their movies. Disney also sent a cease and desist letter to Character.AI in September, warning the startup to stop using its copyrighted characters without authorization.

Disney’s deal with OpenAI suggests the company isn’t ruling out AI platforms entirely.

Read more CNBC tech news

The companies said they have affirmed a commitment to the use of AI that “protects user safety and the rights of creators” and “respects the creative industries,” according to the release.

OpenAI has also agreed to maintain “robust controls” to prevent illegal or harmful content from being generated on its platforms.

Some of the characters available through the deal include Mickey Mouse, Ariel, Cinderella, Iron Man and Darth Vader. Disney and OpenAI said the agreement does not include any talent likeness or voices.

Users will also be able to draw from the same intellectual property while using ChatGPT Images, where they can use natural language prompts to create images. 

“Disney is the global gold standard for storytelling, and we’re excited to partner to allow Sora and ChatGPT Images to expand the way people create and experience great content,” Altman said in a statement.

Curated selections of Sora videos will also be available to watch on Disney’s streaming platform Disney+.

WATCH: We tested OpenAI’s Sora 2 AI-video app to find out why Hollywood is worried

We tested OpenAI’s Sora 2 AI-video app to find out why Hollywood is worried

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Goldman Sachs leads investment in software delivery startup Harness at $5.5 billion valuation

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Goldman Sachs leads investment in software delivery startup Harness at .5 billion valuation

Jyoti Bansal, co-founder and CEO of Harness, speaks at the company’s Unscripted conference in London on Sept. 25, 2025.

Harness

Almost nine years ago, Jyoti Bansal sold AppDynamics to Cisco for $3.7 billion just as the software startup was set to go public.

Bansal’s latest venture, Harness, is now worth substantially more than that, after raking in $200 million in fresh capital at a $5.5 billion valuation in a funding round led by Goldman Sachs.

Harness’ technology helps companies manage and monitor code that’s produced with the help of artificial intelligence, making sure it doesn’t break, create security vulnerabilities or trigger cost overruns. It’s a compliment to the so-called vibe coding trend that’s taken off with the boom in generative AI.

In recent months, venture capitalists have poured money into startups such as Cursor, Lovable and most recently Kilo Code that sell subscriptions for tools for directing AI models to write and update software. Harness’ software draws on models from Anthropic and OpenAI.

Earlier this year, Bansal bolstered Harness’ cybersecurity chops by merging the startup with Traceable, another company he co-founded. The combined company, based in San Francisco, has a total of about 1,300 employees.

Harness is on track to exceed its goal of more than $250 million in annualized revenue, growing more than 50% year over year, Bansal said. That makes it larger than AppDynamics at the time it was acquired by Cisco.

Bansal is aiming for a different outcome this time.

“I’m a believer that at the right market timing, we want to operate as a public company, so we can build for the long term,” Bansal said.

In addition to the funding round, Harness is also planning a $40 million tender offer to provide some liquidity to long-standing employees.

WATCH: ‘Vibe-coding’s’ evil twin? How AI ‘vibe-hacking’ is upending cyber security

'Vibe-coding's' evil twin? How AI 'vibe-hacking' is upending cyber security

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Esusu, platform for renters to build credit scores, valued at $1.2 billion in new funding round

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Esusu, platform for renters to build credit scores, valued at .2 billion in new funding round

Esusu is helping renters build credit and move closer to home ownership

Esusu, a fintech platform that helps renters build credit scores, has raised $50 million in a Series C funding round at a $1.2 billion valuation.

Renters have remained largely excluded from the traditional credit system, with an estimated $1.4 trillion paid to landlords every year in the U.S., but only 20% of those landlords choosing to report the rent paid. As a result, millions of reliable renters remain in a category referred to as the “credit invisible.”

“110 million people in America rent … and less than 10% of that data shows up on their credit score,” said Esusu co-founder and CEO Wemimo Abbey in an interview on CNBC’s “Worldwide Exchange” on Thursday. “When people pay rent, we make sure it shows up in their credit score,” he said.

While on-time mortgage payments are known to increase one’s credit score, many renters don’t have any history of credit. Esusu reports on time rent payments to credit bureaus so renters can build their scores. Over 50 million Americans lack a credit history with the three major credit bureaus: Experian, Equifax and TransUnion.

The company says $30 billion in mortgages has already been accessed by renters who use its system.

“Esusu is fundamentally reshaping how the financial system can work for everyone,” Sean Mendy, partner at Westbound Equity Partners and a lead investor in the deal, said in a statement. “When people are given the tools to rise, they do.”

Esusu was ranked No. 49 on CNBC’s 2025 Disruptor 50 list.

Esusu partners with 65% of the largest commercial real estate owners and property managers in the U.S., as well as with banks. Since its launch in 2016, its platform has grown to support more than five million rental units nationwide, reaching about 12 million renters and processing nearly $100 billion in annual lease volume. Landlords that use its technology include Bell Partners, BH Management, Blackstone, Cortland, Invitation Homes, Jonathan Rose Companies, Kayne Anderson, Morgan Properties, Nuveen Real Estate, Pretium, Related Companies, TruAmerica, and WinnCompanies.

The fintech company plans to use the new funding to expand three initiatives. It will broaden distribution of its rent reporting API through what it calls “rent reporting as a service.” Among recent partners for this initiative, Esusu technology now reaches 228 million monthly active users through real estate platform Zillow. The company also plans to launch Esusu Pay in 2026, which will allow renters to split monthly rent into installments.

Esusu will also focus on the opportunity to make rental data a more prominent feature in mortgage underwriting. The Federal Housing Finance Agency has formalized the inclusion of rental data in mortgage underwriting, which will required verified rental and identity data. Esusu acquired identity verification firm Celeri early this year. Esusu already has partnerships with Fannie Mae and Freddie Mac to increase the number of units nationally that report rent as part of credit.

Esusu founders Abbey and Samir Goel grew up watching their families struggle financially as immigrants from Lagos, Nigeria, and New Delhi, India, respectively, which was a founding motivation for Esusu. “When we came here, we didn’t have a credit score. We went to one of the biggest financial institutions to borrow money; we were turned away and had to go borrow from a predatory lender who wanted to lend at over 400% interest rate,” Abbey told CNBC in a June 2025 interview. “My mother sold my dad’s wedding ring. We borrowed money from church members and that’s how we got started.”

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