Firms and Researchers at Odds over Superhuman AI

Three-quarters of respondents to a survey by the US-based Association for the Advancement of Artificial Intelligence agreed that 'scaling up' LLMs was unlikely to produce artificial general intelligence. Joe Klamar / AFP/File
Three-quarters of respondents to a survey by the US-based Association for the Advancement of Artificial Intelligence agreed that 'scaling up' LLMs was unlikely to produce artificial general intelligence. Joe Klamar / AFP/File
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Firms and Researchers at Odds over Superhuman AI

Three-quarters of respondents to a survey by the US-based Association for the Advancement of Artificial Intelligence agreed that 'scaling up' LLMs was unlikely to produce artificial general intelligence. Joe Klamar / AFP/File
Three-quarters of respondents to a survey by the US-based Association for the Advancement of Artificial Intelligence agreed that 'scaling up' LLMs was unlikely to produce artificial general intelligence. Joe Klamar / AFP/File

Hype is growing from leaders of major AI companies that "strong" computer intelligence will imminently outstrip humans, but many researchers in the field see the claims as marketing spin.

The belief that human-or-better intelligence -- often called "artificial general intelligence" (AGI) -- will emerge from current machine-learning techniques fuels hypotheses for the future ranging from machine-delivered hyperabundance to human extinction, AFP said.

"Systems that start to point to AGI are coming into view," OpenAI chief Sam Altman wrote in a blog post last month. Anthropic's Dario Amodei has said the milestone "could come as early as 2026".

Such predictions help justify the hundreds of billions of dollars being poured into computing hardware and the energy supplies to run it.

Others, though are more skeptical.

Meta's chief AI scientist Yann LeCun told AFP last month that "we are not going to get to human-level AI by just scaling up LLMs" -- the large language models behind current systems like ChatGPT or Claude.

LeCun's view appears backed by a majority of academics in the field.

Over three-quarters of respondents to a recent survey by the US-based Association for the Advancement of Artificial Intelligence (AAAI) agreed that "scaling up current approaches" was unlikely to produce AGI.

'Genie out of the bottle'

Some academics believe that many of the companies' claims, which bosses have at times flanked with warnings about AGI's dangers for mankind, are a strategy to capture attention.

Businesses have "made these big investments, and they have to pay off," said Kristian Kersting, a leading researcher at the Technical University of Darmstadt in Germany and AAAI member.

"They just say, 'this is so dangerous that only I can operate it, in fact I myself am afraid but we've already let the genie out of the bottle, so I'm going to sacrifice myself on your behalf -- but then you're dependent on me'."

Skepticism among academic researchers is not total, with prominent figures like Nobel-winning physicist Geoffrey Hinton or 2018 Turing Prize winner Yoshua Bengio warning about dangers from powerful AI.

"It's a bit like Goethe's 'The Sorcerer's Apprentice', you have something you suddenly can't control any more," Kersting said -- referring to a poem in which a would-be sorcerer loses control of a broom he has enchanted to do his chores.

A similar, more recent thought experiment is the "paperclip maximiser".

This imagined AI would pursue its goal of making paperclips so single-mindedly that it would turn Earth and ultimately all matter in the universe into paperclips or paperclip-making machines -- having first got rid of human beings that it judged might hinder its progress by switching it off.

While not "evil" as such, the maximiser would fall fatally short on what thinkers in the field call "alignment" of AI with human objectives and values.

Kersting said he "can understand" such fears -- while suggesting that "human intelligence, its diversity and quality is so outstanding that it will take a long time, if ever" for computers to match it.

He is far more concerned with near-term harms from already-existing AI, such as discrimination in cases where it interacts with humans.

'Biggest thing ever'

The apparently stark gulf in outlook between academics and AI industry leaders may simply reflect people's attitudes as they pick a career path, suggested Sean O hEigeartaigh, director of the AI: Futures and Responsibility program at Britain's Cambridge University.

"If you are very optimistic about how powerful the present techniques are, you're probably more likely to go and work at one of the companies that's putting a lot of resource into trying to make it happen," he said.

Even if Altman and Amodei may be "quite optimistic" about rapid timescales and AGI emerges much later, "we should be thinking about this and taking it seriously, because it would be the biggest thing that would ever happen," O hEigeartaigh added.

"If it were anything else... a chance that aliens would arrive by 2030 or that there'd be another giant pandemic or something, we'd put some time into planning for it".

The challenge can lie in communicating these ideas to politicians and the public.

Talk of super-AI "does instantly create this sort of immune reaction... it sounds like science fiction," O hEigeartaigh said.



Musk’s Social Media Firm X Bought by His AI Company, Valued at $33 Billion

 xAI and X logos are seen in this illustration taken, March 28, 2025. (Reuters)
xAI and X logos are seen in this illustration taken, March 28, 2025. (Reuters)
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Musk’s Social Media Firm X Bought by His AI Company, Valued at $33 Billion

 xAI and X logos are seen in this illustration taken, March 28, 2025. (Reuters)
xAI and X logos are seen in this illustration taken, March 28, 2025. (Reuters)

Elon Musk's xAI has acquired X in a deal that values the social media platform at $33 billion and allows the value of his artificial intelligence firm to be shared with his co-investors in the company formerly known as Twitter.

The deal could also help xAI's ability to train its chatbot known as Grok.

"xAI and X's futures are intertwined," Musk, who also heads automaker Tesla and SpaceX, wrote in a post on X: "Today, we officially take the step to combine the data, models, compute, distribution and talent."

He said the combination values "xAI at $80 billion and X at $33 billion ($45B less $12B debt)".

Representatives for X and xAI did not immediately respond to requests for comment. Much of the deal's specifics remain unclear, such as how X's leaders would be integrated in the new firm or whether there would be regulatory scrutiny.

Musk, the world's wealthiest man, is also a close ally of US President Donald Trump and heads the Department of Government Efficiency.

D.A. Davidson analyst Gil Luria said the price tag for X of $45 billion when debt was included was not a coincidence. "It is $1 billion higher than the take-private transaction for Twitter in 2022."

An investor in xAI who declined to be identified said they were not surprised by the deal, viewing it as Musk consolidating his leadership and management at his own companies.

Musk did not ask investors for approval but told them that the two companies had been collaborating closely and the deal would drive deeper integration with Grok, the investor said.

OPENAI RIVALRY

Musk's xAI startup was launched less than two years ago and recently raised $10 billion in a funding round that valued the company at $75 billion, according to a media report.

It competes with the likes of Microsoft-backed OpenAI as well as with Chinese startup DeepSeek.

In February, Musk, 53, made a $97.4 billion bid with a consortium for OpenAI, which was rejected and he has sued to prevent the ChatGPT maker from converting from a non-profit to a for-profit business. A judge this month denied Musk's request for a preliminary injunction that would prevent the changeover.

As competition in AI intensifies, xAI has been ramping up its data center capacity to train more advanced models, and its supercomputer cluster in Memphis, Tennessee, called "Colossus," is touted as the largest in the world.

xAI introduced Grok-3, the latest iteration of its chatbot, in February.

The X platform could serve to further distribute xAI products, while also providing a real-time feed of users' musings, screenshots and other data.

After buying Twitter, Musk gutted the company's workforce, prompting advertisers to flee the platform and a rapid decline in revenue. Recently, brands have been returning to X as Musk's influence in the Trump administration grows.

The seven banks that extended $13 billion in loans to Musk to buy X kept the debt on their books for two years until they were able to sell it all at once last month, according to a source familiar with the transactions.

This was made possible after a surge in investor interest for exposure to AI companies along with X's improved operating performance over the previous two quarters, among other factors, according to two people familiar with the matter.

After the merger, investors who bought the debt from the banks will profit, said Espen Robak, founder of Pluris Valuation Advisors, which specializes in illiquid assets. "For sure the debt is worth more now, if not fully paid off."

Separately, a US judge on Friday rejected a bid by Musk to dismiss a lawsuit claiming he had defrauded former Twitter shareholders by waiting too long to disclose his initial investment in the company.