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    OpenAI Appoints Ex-Meta Executive Irina Kofman to Spearhead Strategic Initiatives

    OpenAI has appointed Irina Kofman, a former executive at Meta, to lead its strategic initiatives. Kofman, who previously served as a senior director of product management for generative AI at Meta, will report directly to OpenAI’s Chief Technology Officer, Mira Murati. Her initial focus will be on enhancing the company’s preparedness and safety measures.

    Kofman’s hiring aligns with a broader trend where AI startups are increasingly bringing on board executives from major tech firms, particularly social media giants. This move aims to bolster their competitive edge against industry behemoths such as Meta and Google.

    In a similar vein, OpenAI recently appointed Kevin Weil, a former Instagram and Twitter executive, as Chief Product Officer, and Sarah Friar, the former CEO of Nextdoor, as Chief Financial Officer. Meanwhile, rival AI firm Anthropic recruited Mike Krieger, a co-founder of Instagram, as its Chief Product Officer.

    OpenAI has also experienced notable departures, with former co-founder John Schulman and researcher Jan Leike both joining Anthropic. Additionally, another co-founder, Greg Brockman, announced earlier this month that he will take a sabbatical for the remainder of 2024, marking his first extended break since co-founding OpenAI nine years ago. In a post on X, Brockman emphasized the ongoing mission to develop a safe artificial general intelligence (AGI), which aims to replicate human-level reasoning and thought.

    In the midst of these executive shifts, OpenAI has unveiled a significant update to its AI capabilities. The company now allows developers to fine-tune GPT-4o, its most advanced language model, to cater to specific business needs. This long-awaited feature enables customized AI applications across various sectors. Fine-tuning allows developers to adjust a pretrained AI model to improve performance and reduce costs for particular tasks, such as tailoring response styles or adhering to complex domain-specific instructions.

    PYMNTS highlighted the importance of this feature for commerce, noting that it enables businesses to craft AI tools that enhance customer service, optimize operations, and drive innovation. For instance, a retail company might refine GPT-4o to better handle product descriptions and customer queries, while a financial institution could use it to analyze market trends and produce detailed reports.

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