Tech
DeepMind’s David Silver just raised $1.1B to build an AI that learns without human data
Ineffable Intelligence, a British AI lab founded a mere few months ago by former DeepMind researcher David Silver, has raised $1.1 billion in funding at a valuation of $5.1 billion to join the race for novel AI models that could outperform large language models.
According to its newly launched site, Ineffable aims to create a “superlearner” capable of discovering knowledge and skills without relying on human data by leveraging reinforcement learning — a technique in which AI systems learn through trial and error rather than studying human-generated examples. This is Silver’s area of expertise.
A professor at University College London, Silver was until recently leading the reinforcement learning team at Google-owned DeepMind, where he spent more than a decade before leaving to found this new venture.
While at DeepMind, Silver was involved in developing programs that beat professional players at chess and the board game Go games by learning purely from experience, without being fed human strategies or game records — defeating the world’s top computer programs in each game. The most notable of these was AlphaZero. Similarly, Ineffable Intelligence hopes that its superlearner will discover all knowledge from its own experience.
Its superlearner may lack experience, but the company doesn’t lack ambition. “If successful, this will represent a scientific breakthrough of comparable magnitude to Darwin: where his law explained all Life, our law will explain and build all Intelligence,” its site claims (capitals included).
Referring to Ineffable Intelligence as “his life’s work” in a personal note he has since published on the company’s blog, Silver also told Wired that “any money that I make from Ineffable will go to high-impact charities that save as many lives as possible.”
It is unclear how, when or how much the venture will make money, but this clearly hasn’t hindered fundraising.
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According to Wired, the round was led by Sequoia Capital and Lightspeed Venture Partners, with participation from Index Ventures, Google, Nvidia, and others. Among those other investors are the British Business Bank and Sovereign AI, the U.K.’s recently launched sovereign venture fund for AI.
Fast-forwarding to so-called pentacorn status — meaning companies valued at more than $5 billion — Ineffable Intelligence joins the club of AI ventures founded by star researchers whose names have attracted seed rounds so large they have been nicknamed coconut rounds (a tongue-in-cheek escalation of the “seed” round). Just last month, AMI Labs, co-founded by Turing Award winner and former Meta AI scientist Yann LeCun, raised $1.03 billion at a $3.5 billion pre-money valuation.
There might be more companies in this mold. Recursive Superintelligence, cofounded by DeepMind’s former principal scientist Tim Rocktäschel and incorporated in the U.K., reportedly raised $500 million, with enough demand to stretch that amount to $1 billion.
While Recursive also has ties to the U.S., these companies suggest mounting momentum around London as an AI hub. This is partly thanks to DeepMind’s continued presence after its acquisition by Google in 2014. But it is not just DeepMind. Jeff Bezos’ AI lab, Project Prometheus, is reportedly in talks to secure office space close to Google’s AI hub.
This also translates into a powerful network of alumni, with several former DeepMind staffers reportedly set to join Ineffable’s executive team.
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Tech
Planned Amazon data center could become the biggest climate polluter in the U.S.
As part of a planned data center in Pecos County, Texas, Amazon is investing in an on-site power plant that could become the largest source of climate pollution in the United States, according to The New York Times.
The NYT says the plant would burn natural gas and is permitted to release 33 million tons of carbon dioxide per year — more than any other power plant in the U.S.
In a statement, an Amazon spokesperson confirmed that the data center will “be powered by new on-site generation that won’t raise electricity costs for Texas families.” (Data centers face growing political opposition for a number of reasons, including their effect on electricity costs.)
AI has already had a significant impact on Amazon’s carbon emissions, which it reported were up 16% last year — the wrong direction for a company that pledged to eliminate its carbon emissions by 2040. And that could get worse as Amazon and tech companies back the development of huge natural gas plants to support their power-hungry data centers.
The Amazon spokesperson said, “The world looks different now than when we co-founded the climate pledge,” while also claiming, “Our commitment hasn’t changed.”
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Tech
OpenAI acquires presentation startup NextSlide
NextSlide recently announced that it’s joining OpenAI, with the presentation startup’s team members now working on ChatGPT.
The NextSlide website currently displays a note from founder Ahmed Beshry describing the startup’s product as one “that could turn prompts, notes, documents, or research into a polished, editable presentation.”
The ultimate goal, Beshry said, was “to make visual communication more accessible and help more people express their ideas clearly.” So by joining OpenAI, the team will “continue pursuing that same mission: building AI products that help people create, communicate, and turn their ideas into meaningful work.”
The financial terms of the deal were not disclosed. In a note on LinkedIn, Beshry said the announcement is coming “a few months late,” as the acquisition took place “earlier this year.”
Beshry was previously a co-founder at Caper AI, a smart cart/cashier-less checkout startup acquired by Instacart in 2021.
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Tech
X replaces ‘misaligned’ revenue sharing program with Original Content Rewards
X, the social media platform now owned by Elon Musk’s SpaceX, is shaking up how it pays influencers and creators.
In announcing the change, the company said it will be winding down its existing Revenue Sharing program and replacing it with something called Original Content Rewards. X will stop accepting new Revenue Sharing participants, while existing participants will continue earning money through September 7.
Then, starting on September 8, they’ll be able to apply for the new program. Participants will still need to subscribe to one of X’s Premium tiers, and there will be qualifying thresholds for follower count (500 verified followers) and impressions (500,000 Home Timeline impressions from verified users in 90 days), but it sounds like the big change is the emphasis on originality.
What counts as original content? X said it can include original reporting and analysis, photos and videos created by the poster, or memes and graphics they’ve designed themselves. Commentary also counts, but “if your content regularly incorporates material created by others, you’ll need to contribute meaningful original value for it to qualify under our original content guidelines.”
The company also included examples of posts that won’t count as original, such as those just copied over from another account, downloaded from one account and re-uploaded to your own, or reposting content “without meaningful transformation.”
This announcement follows repeated attempts by X to reform the Revenue Sharing program, for example reducing payments to aggregators and “clickbait” accounts in April. But these efforts have also prompted complaints from popular accounts profiting from the current system; Musk even reversed some of those changes (giving a creator’s local audience more weight when calculating payouts) after a backlash.
In a post about the new changes, X’s Allegra Jacchia wrote that the existing program “had reached a point where its incentives were misaligned.”
“Creators should be focused on bringing net new content to the platform instead of maximizing payouts,” she said. “We could have kept adding more rules and exceptions, but ultimately the better decision was to start fresh and build a program designed from day one to reward originality.”
Jacchia added that X be “continue refining the program, improving our models, and raising the bar over time.”
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