OpenAI CEO Warns ‘Societal Misalignments’ Could Make AI Dangerous 

Sam Altman, OpenAI CEO (on screen) speaks in a videocall with Omar al-Olama, Minister of State for Artificial Intelligence, Digital Economy and Remote Work Applications, during the World Government Summit in Dubai on February 13, 2024. (AFP)
Sam Altman, OpenAI CEO (on screen) speaks in a videocall with Omar al-Olama, Minister of State for Artificial Intelligence, Digital Economy and Remote Work Applications, during the World Government Summit in Dubai on February 13, 2024. (AFP)
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OpenAI CEO Warns ‘Societal Misalignments’ Could Make AI Dangerous 

Sam Altman, OpenAI CEO (on screen) speaks in a videocall with Omar al-Olama, Minister of State for Artificial Intelligence, Digital Economy and Remote Work Applications, during the World Government Summit in Dubai on February 13, 2024. (AFP)
Sam Altman, OpenAI CEO (on screen) speaks in a videocall with Omar al-Olama, Minister of State for Artificial Intelligence, Digital Economy and Remote Work Applications, during the World Government Summit in Dubai on February 13, 2024. (AFP)

The CEO of ChatGPT-maker OpenAI said Tuesday that the dangers that keep him awake at night regarding artificial intelligence are the “very subtle societal misalignments” that could make the systems wreak havoc.

Sam Altman, speaking at the World Government Summit in Dubai via a video call, reiterated his call for a body like the International Atomic Energy Agency to be created to oversee AI that's likely advancing faster than the world expects.

“There’s some things in there that are easy to imagine where things really go wrong. And I’m not that interested in the killer robots walking on the street direction of things going wrong,” Altman said. "I’m much more interested in the very subtle societal misalignments where we just have these systems out in society and through no particular ill intention, things just go horribly wrong.”

However, Altman stressed that the AI industry, like OpenAI, shouldn't be in the driver's seat when it comes to making regulations governing the industry.

“We’re still in the stage of a lot of discussion. So, there’s you know, everybody in the world is having a conference. Everyone’s got an idea, a policy paper, and that’s OK,” Altman said. “I think we’re still at a time where debate is needed and healthy, but at some point in the next few years, I think we have to move towards an action plan with real buy-in around the world.”

OpenAI, a San Francisco-based artificial intelligence startup, is one of the leaders in the field. Microsoft has invested some $1 billion in OpenAI. The Associated Press has signed a deal with OpenAI for it to access its news archive. Meanwhile, The New York Times has sued OpenAI and Microsoft over the use of its stories without permission to train OpenAI's chatbots.

OpenAI's success has made Altman the public face for generative AI’s rapid commercialization — and the fears over what may come from the new technology.

He said he was heartened to see that schools, where teachers feared students would use AI to write papers, now embrace the technology as crucial for the future. But he added that AI remains in its infancy.

“I think the reason is the current technology that we have is like ... that very first cellphone with a black-and-white screen,” Altman said. “So, give us some time. But I will say I think in a few more years it’ll be much better than it is now. And in a decade, it should be pretty remarkable.”



Amazon Says Blocked 1,800 North Koreans from Applying for Jobs

Amazon logo (Reuters)
Amazon logo (Reuters)
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Amazon Says Blocked 1,800 North Koreans from Applying for Jobs

Amazon logo (Reuters)
Amazon logo (Reuters)

US tech giant Amazon said it has blocked over 1,800 North Koreans from joining the company, as Pyongyang sends large numbers of IT workers overseas to earn and launder funds.

In a post on LinkedIn, Amazon's Chief Security Officer Stephen Schmidt said last week that North Korean workers had been "attempting to secure remote IT jobs with companies worldwide, particularly in the US".

He said the firm had seen nearly a one-third rise in applications by North Koreans in the past year, reported AFP.

The North Koreans typically use "laptop farms" -- a computer in the United States operated remotely from outside the country, he said.

He warned the problem wasn't specific to Amazon and "is likely happening at scale across the industry".

Tell-tale signs of North Korean workers, Schmidt said, included wrongly formatted phone numbers and dodgy academic credentials.

In July, a woman in Arizona was sentenced to more than eight years in prison for running a laptop farm helping North Korean IT workers secure remote jobs at more than 300 US companies.

The scheme generated more than $17 million in revenue for her and North Korea, officials said.

Last year, Seoul's intelligence agency warned that North Korean operatives had used LinkedIn to pose as recruiters and approach South Koreans working at defense firms to obtain information on their technologies.

"North Korea is actively training cyber personnel and infiltrating key locations worldwide," Hong Min, an analyst at the Korea Institute for National Unification, told AFP.

"Given Amazon's business nature, the motive seems largely economic, with a high likelihood that the operation was planned to steal financial assets," he added.

North Korea's cyber-warfare program dates back to at least the mid-1990s.

It has since grown into a 6,000-strong cyber unit known as Bureau 121, which operates from several countries, according to a 2020 US military report.

In November, Washington announced sanctions on eight individuals accused of being "state-sponsored hackers", whose illicit operations were conducted "to fund the regime's nuclear weapons program" by stealing and laundering money.

The US Department of the Treasury has accused North Korea-affiliated cybercriminals of stealing over $3 billion over the past three years, primarily in cryptocurrency.


KAUST Scientists Develop AI-Generated Data to Improve Environmental Disaster Tracking

King Abdullah University of Science and Technology (KAUST) logo
King Abdullah University of Science and Technology (KAUST) logo
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KAUST Scientists Develop AI-Generated Data to Improve Environmental Disaster Tracking

King Abdullah University of Science and Technology (KAUST) logo
King Abdullah University of Science and Technology (KAUST) logo

King Abdullah University of Science and Technology (KAUST) and SARsatX, a Saudi company specializing in Earth observation technologies, have developed computer-generated data to train deep learning models to predict oil spills.

According to KAUST, validating the use of synthetic data is crucial for monitoring environmental disasters, as early detection and rapid response can significantly reduce the risks of environmental damage.

Dean of the Biological and Environmental Science and Engineering Division at KAUST Dr. Matthew McCabe noted that one of the biggest challenges in environmental applications of artificial intelligence is the shortage of high-quality training data.

He explained that this challenge can be addressed by using deep learning to generate synthetic data from a very small sample of real data and then training predictive AI models on it.

This approach can significantly enhance efforts to protect the marine environment by enabling faster and more reliable monitoring of oil spills while reducing the logistical and environmental challenges associated with data collection.


Uber, Lyft to Test Baidu Robotaxis in UK from Next Year 

A sign of Baidu is pictured at the company's headquarters in Beijing, China March 16, 2023. (Reuters)
A sign of Baidu is pictured at the company's headquarters in Beijing, China March 16, 2023. (Reuters)
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Uber, Lyft to Test Baidu Robotaxis in UK from Next Year 

A sign of Baidu is pictured at the company's headquarters in Beijing, China March 16, 2023. (Reuters)
A sign of Baidu is pictured at the company's headquarters in Beijing, China March 16, 2023. (Reuters)

Uber Technologies and Lyft are teaming up with Chinese tech giant Baidu to try out driverless taxis in the UK next year, marking a major step in the global race to commercialize robotaxis.

It highlights how ride-hailing platforms are accelerating autonomous rollout through partnerships, positioning London as an early proving ground for large-scale robotaxi services ‌in Europe.

Lyft, meanwhile, plans ‌to deploy Baidu's ‌autonomous ⁠vehicles in Germany ‌and the UK under its platform, pending regulatory approval. Both companies have abandoned in-house development of autonomous vehicles and now rely on alliances to accelerate adoption.

The partnerships underscore how global robotaxi rollouts are gaining momentum. ⁠Alphabet's Waymo said in October it would start ‌tests in London this ‍month, while Baidu ‍and WeRide have launched operations in the ‍Middle East and Switzerland.

Robotaxis promise safer, greener and more cost-efficient rides, but profitability remains uncertain. Public companies like Pony.ai and WeRide are still loss-making, and analysts warn the economics of expensive fleets could pressure margins ⁠for platforms such as Uber and Lyft.

Analysts have said hybrid networks, mixing robotaxis with human drivers, may be the most viable model to manage demand peaks and pricing.

Lyft completed its $200 million acquisition of European taxi app FreeNow from BMW and Mercedes-Benz in July, marking its first major expansion beyond North America and ‌giving the US ride-hailing firm access to nine countries across Europe.