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OpenAI to Continue Collaboration with Scale AI Despite Meta’s Major Stake Purchase

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OpenAI confirmed it will maintain its partnership with Scale AI after Meta agreed to acquire a 49% stake in the AI data-labeling startup for $14.8 billion, OpenAI CFO Sarah Friar said at the VivaTech conference in Paris.

Scale AI is vital for providing the vast volumes of labeled training data essential for advanced AI tools like OpenAI’s ChatGPT. Despite Meta’s significant investment, OpenAI emphasized it intends to keep working with multiple data vendors rather than exclusively relying on Scale.

Friar highlighted the importance of keeping the AI ecosystem open, cautioning against moves that could slow innovation by locking out competitors. “We don’t want to ice the ecosystem because acquisitions are going to happen,” she said.

Meta’s stake comes as OpenAI’s ChatGPT competes directly with Meta’s Llama AI models. Scale AI’s CEO Alexandr Wang will now lead Meta’s new superintelligence unit, underscoring the startup’s growing influence in the AI space.

Friar also noted the increasing complexity of AI models requires input from a diverse network of human trainers with deep expertise—from academics to scientists—reflecting the growing sophistication in AI development.

Mattel Partners with OpenAI to Launch First AI-Powered Toy This Year

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Mattel, the maker of Barbie, Hot Wheels, and Uno, announced on Thursday a partnership with OpenAI to develop toys and games powered by artificial intelligence. The company aims to launch its first AI-enhanced product before the end of 2025.

The collaboration seeks to “bring the magic of AI to age-appropriate play experiences,” focusing on innovation while maintaining strong privacy and safety standards. In addition to consumer products, Mattel plans to integrate OpenAI’s advanced AI tools, including ChatGPT Enterprise, into its business operations to boost creativity, productivity, and transformation across the company.

OpenAI’s Chief Operating Officer Brad Lightcap emphasized that the partnership provides Mattel with access to sophisticated AI capabilities to help drive product innovation and company-wide efficiency.

The move comes amid a period of muted demand for toys, as consumers tighten spending due to economic uncertainties linked to shifting U.S. trade policies. To counter a slowdown in its traditional toy business, Mattel has increasingly relied on films, TV shows, and mobile games based on its iconic brands.

In response to rising supply chain costs, Mattel recently withdrew its annual financial forecast and announced plans to raise prices on select products sold within the U.S.

Nvidia and Perplexity Collaborate with European AI Firms to Enhance Local Language Models

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Nvidia and AI search company Perplexity announced a partnership on Wednesday with over a dozen AI firms across Europe and the Middle East to advance AI technologies tailored to local languages and distribute them to regional businesses.

The collaboration targets countries including France, Germany, Italy, Poland, Spain, and Sweden, aiming to develop reasoning AI models capable of handling complex tasks in languages that traditionally have less training data available. Nvidia plans to assist by generating synthetic data in these languages to improve model performance.

Kari Briski, Nvidia’s Vice President of Generative AI Software for Enterprise, emphasized the importance of strong AI models that capture the unique languages and cultures of each nation. Once refined, Perplexity will facilitate deployment of these models through local data centers, enabling businesses to leverage AI for tasks like research and data analysis.

Perplexity CEO Aravind Srinivas highlighted Germany as one of the company’s largest markets, underscoring the regional demand for localized AI solutions. The partnership announcement was part of a series of updates from Nvidia at an AI conference in Paris, though financial details were not disclosed.

This initiative reflects a growing focus on decentralizing AI development, shifting from dominant English and Chinese models to diverse, localized systems that better serve different linguistic communities.