A Former OpenAI Leader Says Safety Has 'Taken a Backseat to Shiny Products' at the AI Company

 OpenAI showed off the latest update to its artificial intelligence model, which can mimic human cadences in its verbal responses and can even try to detect people’s moods. - The AP.
OpenAI showed off the latest update to its artificial intelligence model, which can mimic human cadences in its verbal responses and can even try to detect people’s moods. - The AP.
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A Former OpenAI Leader Says Safety Has 'Taken a Backseat to Shiny Products' at the AI Company

 OpenAI showed off the latest update to its artificial intelligence model, which can mimic human cadences in its verbal responses and can even try to detect people’s moods. - The AP.
OpenAI showed off the latest update to its artificial intelligence model, which can mimic human cadences in its verbal responses and can even try to detect people’s moods. - The AP.

A former OpenAI leader who resigned from the company earlier this week said that safety has “taken a backseat to shiny products” at the influential artificial intelligence company.

Jan Leike, who ran OpenAI's “Superalignment” team alongside a company co-founder who also resigned this week, wrote in a series of posts on the social media platform X that he joined the San Francisco-based company because he thought it would be the best place to do AI research.

“However, I have been disagreeing with OpenAI leadership about the company’s core priorities for quite some time, until we finally reached a breaking point,” wrote Leike, whose last day was Thursday, The AP reported.

An AI researcher by training, Leike said he believes there should be more focus on preparing for the next generation of AI models, including on things like safety and analyzing the societal impacts of such technologies. He said building “smarter-than-human machines is an inherently dangerous endeavor” and that the company “is shouldering an enormous responsibility on behalf of all of humanity.”

“OpenAI must become a safety-first AGI company,” wrote Leike, using the abbreviated version of artificial general intelligence, a futuristic vision of machines that are as broadly smart as humans or at least can do many things as well as people can.

Open AI CEO Sam Altman wrote in a reply to Leike's posts that he was “super appreciative” of Leike's contributions to the company was “very sad to see him leave.”

Leike is "right we have a lot more to do; we are committed to doing it,” Altman said, pledging to write a longer post on the subject in the coming days.

The company also confirmed Friday that it had disbanded Leike's Superalignment team, which was launched last year to focus on AI risks, and is integrating the team's members across its research efforts.

Leike’s resignation came after OpenAI co-founder and chief scientist Ilya Sutskever said Tuesday that he was leaving the company after nearly a decade. Sutskever was one of four board members last fall who voted to push out Altman — only to quickly reinstate him. It was Sutskever who told Altman last November that he was being fired, but he later said he regretted doing so.

Sutskever said he is working on a new project that's meaningful to him without offering additional details. He will be replaced by Jakub Pachocki as chief scientist. Altman called Pachocki “also easily one of the greatest minds of our generation” and said he is “very confident he will lead us to make rapid and safe progress towards our mission of ensuring that AGI benefits everyone.”



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.


Italy Fines Apple Nearly 100m Euros over App Privacy Feature

An Apple logo hangs above the entrance to the Apple store on 5th Avenue in the Manhattan borough of New York City, July 21, 2015. REUTERS/Mike Segar/File Photo Purchase Licensing Rights
An Apple logo hangs above the entrance to the Apple store on 5th Avenue in the Manhattan borough of New York City, July 21, 2015. REUTERS/Mike Segar/File Photo Purchase Licensing Rights
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Italy Fines Apple Nearly 100m Euros over App Privacy Feature

An Apple logo hangs above the entrance to the Apple store on 5th Avenue in the Manhattan borough of New York City, July 21, 2015. REUTERS/Mike Segar/File Photo Purchase Licensing Rights
An Apple logo hangs above the entrance to the Apple store on 5th Avenue in the Manhattan borough of New York City, July 21, 2015. REUTERS/Mike Segar/File Photo Purchase Licensing Rights

Italy's competition authority said Monday it had fined US tech giant Apple 98 million euros ($115 million) for allegedly abusing its dominant position in the mobile app market.

According to AFP, the AGCM said in a statement that Apple had violated privacy regulations for third-party developers in a market where it "holds a super-dominant position through its App Store".

The body said its investigation had established the "restrictive nature" of the "privacy rules imposed by Apple... on third-party developers of apps distributed through the App Store".

The rules of Apple's App Tracking Transparency (ATT) "are imposed unilaterally and harm the interests of Apple's commercial partners", according to the AGCM statement.

French antitrust authorities earlier this year handed Apple a 150-million euro fine over its app tracking privacy feature.

Authorities elsewhere in Europe have also opened similar probes over ATT, which Apple promotes as a privacy safeguard.

The feature, introduced by Apple in 2021, requires apps to obtain user consent through a pop-up window before tracking their activity across other apps and websites.

If they decline, the app loses access to information on that user which enables ad targeting.

Critics have accused Apple of using the system to promote its own advertising services while restricting competitors.