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.



Google Says to Build New Subsea Cables from India in AI Push

A logo of Google is on display at Bharat Mandapam, one of the venues for AI Impact Summit, in New Delhi, India, February 17, 2026. REUTERS/Bhawika Chhabra
A logo of Google is on display at Bharat Mandapam, one of the venues for AI Impact Summit, in New Delhi, India, February 17, 2026. REUTERS/Bhawika Chhabra
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Google Says to Build New Subsea Cables from India in AI Push

A logo of Google is on display at Bharat Mandapam, one of the venues for AI Impact Summit, in New Delhi, India, February 17, 2026. REUTERS/Bhawika Chhabra
A logo of Google is on display at Bharat Mandapam, one of the venues for AI Impact Summit, in New Delhi, India, February 17, 2026. REUTERS/Bhawika Chhabra

Google announced Wednesday it would build new subsea cables from India and other locations as part of its existing $15 billion investment in the South Asian nation, which is hosting a major artificial intelligence summit this week.

The US tech giant said it would build "three subsea paths connecting India to Singapore, South Africa, and Australia; and four strategic fiber-optic routes that bolster network resilience and capacity between the United States, India, and multiple locations across the Southern Hemisphere".


Mark Zuckerberg Set to Testify in Watershed Social Media Trial 

Meta's CEO Mark Zuckerberg testifies during the Senate Judiciary Committee hearing on online child sexual exploitation at the US Capitol in Washington, US, January 31, 2024. (Reuters)
Meta's CEO Mark Zuckerberg testifies during the Senate Judiciary Committee hearing on online child sexual exploitation at the US Capitol in Washington, US, January 31, 2024. (Reuters)
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Mark Zuckerberg Set to Testify in Watershed Social Media Trial 

Meta's CEO Mark Zuckerberg testifies during the Senate Judiciary Committee hearing on online child sexual exploitation at the US Capitol in Washington, US, January 31, 2024. (Reuters)
Meta's CEO Mark Zuckerberg testifies during the Senate Judiciary Committee hearing on online child sexual exploitation at the US Capitol in Washington, US, January 31, 2024. (Reuters)

Mark Zuckerberg will testify in an unprecedented social media trial that questions whether Meta's platforms deliberately addict and harm children.

Meta's CEO is expected to answer tough questions on Wednesday from attorneys representing a now 20-year-old woman identified by the initials KGM, who claims her early use of social media addicted her to the technology and exacerbated depression and suicidal thoughts. Meta Platforms and Google’s YouTube are the two remaining defendants in the case, which TikTok and Snap have settled.

Zuckerberg has testified in other trials and answered questions from Congress about youth safety on Meta's platforms, and he apologized to families at that hearing whose lives had been upended by tragedies they believed were because of social media.

This trial, though, marks the first time Zuckerberg will answer similar questions in front of a jury. and, again, bereaved parents are expected to be in the limited courtroom seats available to the public.

The case, along with two others, has been selected as a bellwether trial, meaning its outcome could impact how thousands of similar lawsuits against social media companies would play out.

A Meta spokesperson said the company strongly disagrees with the allegations in the lawsuit and said they are “confident the evidence will show our longstanding commitment to supporting young people.”

One of Meta's attorneys, Paul Schmidt, said in his opening statement that the company is not disputing that KGM experienced mental health struggles, but rather that Instagram played a substantial factor in those struggles.

He pointed to medical records that showed a turbulent home life, and both he and an attorney representing YouTube argue she turned to their platforms as a coping mechanism or a means of escaping her mental health struggles.

Zuckerberg's testimony comes a week after that of Adam Mosseri, the head of Meta's Instagram, who said in the courtroom that he disagrees with the idea that people can be clinically addicted to social media platforms.

Mosseri maintained that Instagram works hard to protect young people using the service, and said it's “not good for the company, over the long run, to make decisions that profit for us but are poor for people’s well-being."

Much of Mosseri's questioning from the plaintiff's lawyer, Mark Lanier, centered on cosmetic filters on Instagram that changed people’s appearance — a topic that Lanier is sure to revisit with Zuckerberg.

He is also expected to face questions about Instagram’s algorithm, the infinite nature of Meta’ feeds and other features the plaintiffs argue are designed to get users hooked.


US Tech Giant Nvidia Announces India Deals at AI Summit

FILED - 04 February 2026, Bavaria, Munich: The NVIDIA logo is seen during a press conference at the opening of Telekom and NVIDIA's AI factory "Industrial AI Cloud". Photo: Sven Hoppe/dpa
FILED - 04 February 2026, Bavaria, Munich: The NVIDIA logo is seen during a press conference at the opening of Telekom and NVIDIA's AI factory "Industrial AI Cloud". Photo: Sven Hoppe/dpa
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US Tech Giant Nvidia Announces India Deals at AI Summit

FILED - 04 February 2026, Bavaria, Munich: The NVIDIA logo is seen during a press conference at the opening of Telekom and NVIDIA's AI factory "Industrial AI Cloud". Photo: Sven Hoppe/dpa
FILED - 04 February 2026, Bavaria, Munich: The NVIDIA logo is seen during a press conference at the opening of Telekom and NVIDIA's AI factory "Industrial AI Cloud". Photo: Sven Hoppe/dpa

US artificial intelligence chip titan Nvidia unveiled tie-ups with Indian computing firms on Wednesday as tech companies rushed to announce deals and investments at a global AI conference in New Delhi.

This week's AI Impact Summit is the fourth annual gathering to discuss how to govern the fast-evolving technology -- and also an opportunity to "define India's leadership in the AI decade ahead", organizers say.

Mumbai cloud and data center provider L&T said it was teaming up with Nvidia, the world's most valuable company, to build what it touted as "India's largest gigawatt-scale AI factory".

"We are laying the foundation for world-class AI infrastructure that will power India's growth," said Nvidia boss Jensen Huang in a statement that did not put a figure on the investment.

L&T said it would use Nvidia's powerful processors, which can train and run generative AI tech, to provide data center capacity of up to 30 megawatts in Chennai and 40 megawatts in Mumbai.

Nvidia said it was also working with other Indian AI infrastructure players such as Yotta, which will deploy more than 20,000 top-end Nvidia Blackwell processors as part of a $2 billion investment.

Dozens of world leaders and ministerial delegations have come to India for the summit to discuss the opportunities and threats, from job losses to misinformation, that AI poses.

Last year India leapt to third place -- overtaking South Korea and Japan -- in an annual global ranking of AI competitiveness calculated by Stanford University researchers.

But despite plans for large-scale infrastructure and grand ambitions for innovation, experts say the country has a long way to go before it can rival the United States and China.

The conference has also brought a flurry of deals, with IT minister Ashwini Vaishnaw saying Tuesday that India expects more than $200 billion in investments over the next two years, including roughly $90 billion already committed.

Separately, India's Adani Group said Tuesday it plans to invest $100 billion by 2035 to develop "hyperscale AI-ready data centers", a boost to New Delhi's push to become a global AI hub.

Microsoft said it was investing $50 billion this decade to boost AI adoption in developing countries, while US artificial intelligence startup Anthropic and Indian IT giant Infosys said they would work together to build AI agents for the telecoms industry.

Nvidia's Huang is not attending the AI summit but other top US tech figures joining include OpenAI's Sam Altman, Google DeepMind's Demis Hassabis and Microsoft founder Bill Gates.

Indian Prime Minister Narendra Modi and other world leaders including French President Emmanuel Macron and Brazil's Luiz Inacio Lula da Silva are expected to deliver a statement at the end of the week about how they plan to address concerns raised by AI technology.

But experts say that the broad focus of the event and vague promises made at previous global AI summits in France, South Korea and Britain mean that concrete commitments are unlikely.

Nick Patience, practice lead for AI at tech research group Futurum, told AFP that nonbinding declarations could still "set the tone for what acceptable AI governance looks like".

But "the largest AI companies deploy capabilities at a pace that makes 18-month legislative cycles look glacial," Patience said.

"So it's a case of whether governments can converge fast enough to create meaningful guardrails before de facto standards are set by the companies themselves."