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Writer's pictureRISHI KORDE

This week in the field of artificial intelligence, notable developments include updates from the Federal Trade Commission (FTC), collaborations between companies, and the implementation of AI solution




Generative artificial intelligence has propelled Microsoft to a market valuation of $3 trillion, solidifying its standing as one of the largest public stocks alongside Apple. Despite the growth, the Federal Trade Commission (FTC) has initiated an inquiry into the AI sector, directing major tech companies, including Alphabet, Amazon, Anthropic, Microsoft, and OpenAI, to provide information on their investments and partnerships in the AI space.

In terms of AI integrations, PayPal and AffiniPay are leveraging AI to enhance checkout experiences and personalize recommendations. Etsy has introduced a hub using AI human curation for gift suggestions, while retailers are incorporating generative AI capabilities into their strategies. PYMNTS Intelligence indicates that AI-enabled experiences in shopping surpass those in banking according to consumer preferences.

OpenAI has introduced new embedding models, API usage management tools, and pricing reductions to facilitate the seamless integration of AI into operations. Apple is reportedly working on bringing AI to the iPhone, and Samsung has unveiled the Galaxy S series as part of the surge in AI-powered smartphones expected to ship in the coming years.

Partnerships are emerging as a popular approach to commercializing AI, driven by the substantial resources and costs involved. The National Science Foundation has launched the National Artificial Intelligence Research Resource program to increase access to AI resources beyond major tech companies. The White House aims to make AI beneficial for small businesses, and Google has partnered with Hugging Face for developers to utilize Google Cloud infrastructure.

Meta is consolidating its AI divisions, emphasizing product-level progress in developing general-purpose AI chatbots and securing top talent in AI engineering. This shift indicates a focus on practical AI applications rather than strategies like the metaverse, which is incurring significant losses for Meta.


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