OpenAI Reveals Sora, a Tool to Make Instant Videos from Written Prompts 

The OpenAI logo is seen on a mobile phone in front of a computer screen displaying output from ChatGPT, March 21, 2023, in Boston. (AP)
The OpenAI logo is seen on a mobile phone in front of a computer screen displaying output from ChatGPT, March 21, 2023, in Boston. (AP)
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OpenAI Reveals Sora, a Tool to Make Instant Videos from Written Prompts 

The OpenAI logo is seen on a mobile phone in front of a computer screen displaying output from ChatGPT, March 21, 2023, in Boston. (AP)
The OpenAI logo is seen on a mobile phone in front of a computer screen displaying output from ChatGPT, March 21, 2023, in Boston. (AP)

The maker of ChatGPT on Thursday unveiled its next leap into generative artificial intelligence with a tool that instantly makes short videos in response to written commands.

San Francisco-based OpenAI’s new text-to-video generator, called Sora, isn’t the first of its kind. Google, Meta and the startup Runway ML are among the other companies to have demonstrated similar technology.

But the high quality of videos displayed by OpenAI — some after CEO Sam Altman asked social media users to send in ideas for written prompts — astounded observers while also raising fears about the ethical and societal implications.

“An instructional cooking session for homemade gnocchi hosted by a grandmother social media influencer set in a rustic Tuscan country kitchen with cinematic lighting,” was a prompt suggested on X by a freelance photographer from New Hampshire. Altman responded a short time later with a realistic video that depicted what the prompt described.

The tool isn’t yet publicly available and OpenAI has revealed limited information about how it was built. The company, which has been sued by some authors and The New York Times over its use of copyrighted works of writing to train ChatGPT, also hasn’t disclosed what imagery and video sources were used to train Sora. (OpenAI pays an undisclosed fee to The Associated Press to license its text news archive).

OpenAI said in a blog post that it’s engaging with artists, policymakers and others before releasing the new tool to the public.

“We are working with red teamers  —  domain experts in areas like misinformation, hateful content, and bias  —  who will be adversarially testing the model,” the company said. “We’re also building tools to help detect misleading content such as a detection classifier that can tell when a video was generated by Sora.”



Paris Olympics Expected to Face 4 Billion Cyber Incidents

A general view of the Olympic rings on the Eiffel Tower a day before the opening ceremony of the Paris 2024 Olympics, in Paris, France June 25, 2024. (Reuters)
A general view of the Olympic rings on the Eiffel Tower a day before the opening ceremony of the Paris 2024 Olympics, in Paris, France June 25, 2024. (Reuters)
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Paris Olympics Expected to Face 4 Billion Cyber Incidents

A general view of the Olympic rings on the Eiffel Tower a day before the opening ceremony of the Paris 2024 Olympics, in Paris, France June 25, 2024. (Reuters)
A general view of the Olympic rings on the Eiffel Tower a day before the opening ceremony of the Paris 2024 Olympics, in Paris, France June 25, 2024. (Reuters)

As the Paris 2024 Olympic Games approach, cybersecurity officials are bracing for over 4 billion cyber incidents. They are setting up a new centralized cybersecurity center for the Games, supported by advanced intelligence teams and artificial intelligence (AI) models.

Eric Greffier, the technical director for Paris 2024 at Cisco France, told Asharq Al-Awsat that the Tokyo 2020 Games saw around 450 million cyber incidents. He added that the number of incidents expected for Paris is at least ten times higher, requiring a more efficient response.

Greffier explained that a single cybersecurity center allows for better coordination and a faster response to incidents.

This approach has proven effective in other areas, such as banking and the NFL, where his company also handles cybersecurity, he added.

The Extended Detection and Response (XDR) system is central to the company’s security strategy.

Greffier described it as a “comprehensive dashboard” that gathers data from various sources, links events, and automates threat responses.

It offers a complete view of cybersecurity and helps manage threats proactively, he affirmed.

The system covers all aspects of the Olympic Games’ digital security, from network and cloud protection to application security and end-user safety.

In cybersecurity, AI is vital for managing large amounts of data and spotting potential threats. Greffier noted that with 4 billion expected incidents, filtering out irrelevant data is crucial.

The Olympic cybersecurity center uses AI and machine learning to automate threat responses, letting analysts focus on real issues, he explained.

One example is a network analytics tool that monitors traffic to find unusual patterns.

Greffier said that by creating models of normal behavior, the system can detect anomalies that might indicate a potential attack. While this might generate false alarms, it helps ensure that unusual activity is flagged for further review.