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.



SpaceX: Five Key Moments, from First Launch to Starship Megarocket

SpaceX employees celebrate the company's Wall Street debut, the largest initial public offering in US history. TIMOTHY A. CLARY / AFP
SpaceX employees celebrate the company's Wall Street debut, the largest initial public offering in US history. TIMOTHY A. CLARY / AFP
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SpaceX: Five Key Moments, from First Launch to Starship Megarocket

SpaceX employees celebrate the company's Wall Street debut, the largest initial public offering in US history. TIMOTHY A. CLARY / AFP
SpaceX employees celebrate the company's Wall Street debut, the largest initial public offering in US history. TIMOTHY A. CLARY / AFP

More than 20 years after its founding, SpaceX made history Friday with its record-high stock market debut, crowning a unique journey marked by dazzling successes but also catastrophic failures and unfulfilled promises.

Here are five key moments in the company's history:

- 2008: The founding myth -

Six years after its founding, SpaceX launched its first rocket into orbit after multiple failures, taking off in September 2008 from a remote archipelago in the Pacific Ocean.

"I messed up the first three launches; the first three launches failed," co-founder Elon Musk recalled years later.

"Fortunately, the fourth launch -- that was the last money that we had -- the fourth launch worked, or that would have been it for SpaceX. But fate liked us that day."

- 2012: Next stop, ISS -

After the successful launch, SpaceX grew and developed more powerful launchers, including its flagship rocket, Falcon 9, which has become the most widely used rocket today.

Among its creations was the Dragon spacecraft, which docked as a cargo vessel at the International Space Station in 2012, a first by a private company.

Eight years later, the Dragon spacecraft carried its first astronaut to the ISS, beating other aerospace companies like Boeing to becoming the main American transport to the space station.

- 2018: A Tesla in space? -

At the same time, SpaceX in 2015 successfully landed the first stage of its Falcon 9 rocket, ushering in the age of partially reusable rockets.

This was followed by Falcon Heavy, a much more powerful launcher with two Falcon 9 boosters.

To mark its first test flight in 2018, Musk decided to place the car made by one of his other companies, a Tesla, on board.

The image of the red Tesla occupied by a mannequin dubbed Starman -- after David Bowie -- was seen around the world.

Not all SpaceX promises were kept though: that same year, Musk said he would send a group which included Japanese billionaire Yusaku Maezawa around the Moon by 2023, but that never came to pass.

- 2020-2023: Starbase's explosive beginning -

The tech trillionaire ended up prioritizing the development of his megarocket Starship, designed to travel to the Moon and, eventually, Mars.

To complete the project, he bought vast amounts of land in Texas and developed an industrial complex known as Starbase, where he would launch a series of Starship prototypes, most of which blew up into spectacular fireballs.

Musk justified the "rapid unscheduled disassembly" of these rockets, to use the entrepreneur's favorite euphemism for explosions, by saying they were part of the learning process.

- 2024: The unprecedented 'Super Heavy' catch -

In October 2024, SpaceX succeeded in recovering the first stage of Starship, its "Super Heavy" booster, in a unique maneuver that had never been achieved before.

After launching the spacecraft, the booster detached and began its descent, returning to the SpaceX launch pad where a pair of "chopsticks" reached out to catch the booster and bring it to a halt.

The feat, while impressive, is only the first part of SpaceX's plan to make Starship a fully reusable rocket -- a goal it remains in pursuit of while dealing with several technical challenges.


India Clears Way for Self-driving, Safety Car Tech to Reduce Road Deaths

A woman crosses street through a dust storm accompanied by rain in Jammu, India, Thursday, June 11, 2026.(AP Photo/Channi Anand)
A woman crosses street through a dust storm accompanied by rain in Jammu, India, Thursday, June 11, 2026.(AP Photo/Channi Anand)
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India Clears Way for Self-driving, Safety Car Tech to Reduce Road Deaths

A woman crosses street through a dust storm accompanied by rain in Jammu, India, Thursday, June 11, 2026.(AP Photo/Channi Anand)
A woman crosses street through a dust storm accompanied by rain in Jammu, India, Thursday, June 11, 2026.(AP Photo/Channi Anand)

India has scrapped a license requirement for radar sensors, freeing automakers to adopt technology that helps cars avoid crashes and drive themselves by sensing surrounding objects, in a bid to make some of the world's deadliest roads safer.

The world's third largest car market, India reported more than 177,000 deaths in nearly half a million ⁠road accidents in 2024, the ⁠latest figures show, according to Reuters.

In a notice on Thursday, the government waived the license requirement for radar sensors operating in the frequency band from 77GHz to 81 GHz. That lets companies ⁠enable the technology without the government having to separately assign the airwaves.

Automakers Maruti Suzuki, Tata Motors and Mahindra & Mahindra, stand to benefit from the change, as well the suppliers behind them, such as Germany's Bosch and Continental.

The radar sensors let a car gauge safe distances, and drive features such as emergency braking, adaptive cruise ⁠control ⁠and blindspot warnings, to form a basis for autonomous driving.

The change brings India in line with the United States, the European Union and a global telecoms standard, all of which dedicate the same frequency band to vehicle radar.

That lets carmakers and suppliers tap into the same off-the-shelf hardware worldwide, rather than having to build an India-specific version.


AI Robot Cleaners Leave the Lab for China's Living Rooms

The service is a baby step towards a future in which robots increasingly take over manual labor from humans. WANG Zhao / AFP
The service is a baby step towards a future in which robots increasingly take over manual labor from humans. WANG Zhao / AFP
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AI Robot Cleaners Leave the Lab for China's Living Rooms

The service is a baby step towards a future in which robots increasingly take over manual labor from humans. WANG Zhao / AFP
The service is a baby step towards a future in which robots increasingly take over manual labor from humans. WANG Zhao / AFP

Beijing cleaner Lin Meiqiong found her work a little easier the day she was paired with an unlikely new colleague -- a tall, wheeled robot with AI-powered tidying skills.

The 56-year-old and her white-and-silver partner, fitted with cameras and two mechanical claws, are part of a new human-robot cleaning service offered by Chinese household help platform 58.com.

It's a baby step towards a future espoused by tech evangelists in which robots increasingly take over manual labor from humans -- though at the moment, such services are largely a data-gathering exercise for companies and a novelty for curious customers.

"It's definitely different," Lin told AFP in between cleaning the kitchen and wiping down windows.

"I used to have to do everything myself," she said. "It's reduced the workload a bit."

The cleaning service, a collaboration between 58.com and Chinese robotics company X Square, costs 149 yuan ($22) for three hours and is available in Beijing and tech hub Shenzhen.

Helped into the apartment by an X Square engineer, the AI-operated Quanta X1 Pro robot uses its cameras to identify areas it could spruce up.

As Lin scrubbed the floor on her knees, it picked up rubbish and folded clothes strewn across a sofa.

Grasping a pair of dark grey trousers, it raised its upper body to stretch the fabric taut, before laying it flat and arranging it into neat halves.

The process took several minutes and resembled a child learning to fold clothes for the first time.

Future iterations of the robot will respond to voice commands and even be able to chat, said the engineer, Hu Bowen.

- 'Better than a lab' -

Around 200 households have booked the service since it was rolled out in March.

Tan Pei, who works in advertising and booked the robot to clean her Beijing flat, said she had chosen the service because she was interested to "see what it could do".

"Even though it's not that perfect, there are still parts of it that surprised me," such as folding a pair of trousers "quite well", she said.

China's robots have wowed audiences with fluid dancing and set-piece martial arts displays onstage, but their application and performance in real-life settings remains limited.

For companies like X Square, the logic of launching an imperfect service lies in data collection for so-called embodied artificial intelligence.

Unlike large language models trained on vast quantities of internet content, robots lack comparable real-world datasets.

"We don't have a robot internet yet," Christoforos Mavrogiannis from the University of Michigan told AFP.

"It is much more informative to put the robot out there and study what happens than staying forever in the lab."

X Square engineer Hu said he sends his robots to work in a "completely unfamiliar environment".

"That is very challenging, but this unfamiliar data is also very helpful for the robot's growth."

As investment into embodied AI booms, similar trials in China include robots directing traffic in cities like Hangzhou or working on factory floors.

On the domestic help front, firm GigaAI also plans to deploy 100 humanoid robots into households in central Wuhan this autumn for free home-service trials.

Investors have poured more than 57.7 billion yuan ($8.5 billion) into China's embodied AI industry so far this year, already soaring past the total for last year as a whole, according to business database ITjuzi.

- 'Very elementary stage' -

But a myriad of hurdles stand in the way of widespread deployment.

As the Quanta X1 Pro's clothes folding demonstrated, robots still can't match human dexterity.

"Even though many companies are working on building better hands and building autonomy for hands, we don't have that yet," the University of Michigan's Mavrogiannis said.

There are multiple regulatory issues even once the physical capability is there.

Privacy will become a big issue, as robots would have access to huge amounts of personal data.

"We don't know where that data is going, where it's located... who is looking at that information," said Valeria Alessandra Macalupu Chira from Queensland University of Technology.

The safety of clients and their homes is another unresolved issue.

"I think we are still at a very elementary stage," said Yang Jianfei from Singapore's Nanyang Technological University.

Robots currently require supervision by humans who can activate emergency stop functions, he noted, and there are not yet recognized industry-wide safety standards.

Experts agree broad adoption seems a long way off.

Asked whether she thought robots would revolutionize her industry, cleaner Lin did not seem too concerned.

"Compared with people, it's obviously still not quite there," she said. "After all, it's a robot."