Musk's xAI to Launch Improved Version of Chatbot

Elon Musk, CEO of SpaceX and Tesla and owner of X, formerly known as Twitter, attends the Viva Technology conference dedicated to innovation and startups at the Porte de Versailles exhibition center in Paris, France, June 16, 2023. (Reuters)
Elon Musk, CEO of SpaceX and Tesla and owner of X, formerly known as Twitter, attends the Viva Technology conference dedicated to innovation and startups at the Porte de Versailles exhibition center in Paris, France, June 16, 2023. (Reuters)
TT

Musk's xAI to Launch Improved Version of Chatbot

Elon Musk, CEO of SpaceX and Tesla and owner of X, formerly known as Twitter, attends the Viva Technology conference dedicated to innovation and startups at the Porte de Versailles exhibition center in Paris, France, June 16, 2023. (Reuters)
Elon Musk, CEO of SpaceX and Tesla and owner of X, formerly known as Twitter, attends the Viva Technology conference dedicated to innovation and startups at the Porte de Versailles exhibition center in Paris, France, June 16, 2023. (Reuters)

Elon Musk's artificial intelligence startup xAI said on Thursday it will launch an enhanced version of its chatbot Grok.

The new version, called Grok-1.5, will be made available to early testers and existing Grok users on social media platform X, formerly known as Twitter, in the coming days, xAI said in a statement.

The startup said one of the most notable improvements in the new version is its performance in coding and math-related tasks.

Seeking an alternative to Microsoft-backed OpenAI and Alphabet's Google, Musk launched xAI last year to create what he said would be a "maximum truth-seeking AI".

In December, the startup rolled out Grok for Premium+ subscribers of X.

Earlier this month, Musk said xAI would open-source Grok, days after the billionaire had sued OpenAI for allegedly abandoning its original mission in favor of a for-profit model.



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)
TT

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.