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    Home > Finance > Musk's X to open source new algorithm in seven days
    Finance
    Musk's X to open source new algorithm in seven days

    Published by Global Banking and Finance Review

    Posted on January 10, 2026

    Featured image for article about Finance
    Tags:innovationtechnologyregulatory frameworkfinancial communityCryptocurrencies

    Elon Musk's X to Release New Algorithm Code in Just One Week

    Overview of X's Algorithm Release

    Jan 10 (Reuters) - Elon Musk said on Saturday that social media platform X will open its new algorithm, including all code for organic and advertising post recommendations, to the public in seven days.

    Details of the Open Source Initiative

    "This will be repeated every 4 weeks, with comprehensive developer notes, to help you understand what changed," he said in his X post.

    Regulatory Challenges and Investigations

    Earlier this week, the European Commission decided to extend a retention order sent to X last year, which related to algorithms and dissemination of illegal content, prolonging it to the end of 2026, spokesperson Thomas Regnier told reporters on Thursday.

    Future Updates and Developer Engagement

    In July 2025, Paris prosecutors investigated the social media platform for suspected algorithmic bias and fraudulent data extraction, which Musk's X called a "politically-motivated criminal investigation" that threatens its users' free speech.

    (Reporting by Preetika Parashuraman in Bengaluru; editing by Diane Craft)

    Frequently Asked Questions about Musk's X to open source new algorithm in seven days
    1What is an algorithm?

    An algorithm is a set of rules or instructions designed to perform a specific task or solve a problem, often used in computing and data processing.

    2What is open source software?

    Open source software is software whose source code is available for anyone to inspect, modify, and enhance, promoting collaboration and sharing within the community.

    3What is algorithmic bias?

    Algorithmic bias occurs when an algorithm produces systematically prejudiced results due to erroneous assumptions in the machine learning process, often reflecting societal biases.

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