OpenAI CEO Cites Computing Constraints as Key Challenge in AI Product Rollouts

OpenAI’s CEO Sam Altman recently highlighted that limited computing capacity is delaying the company’s new product releases. During a Reddit Ask Me Anything (AMA) session, Altman explained that the increasing complexity of AI models, coupled with restrictions on compute resources, is forcing OpenAI to make challenging decisions regarding resource allocation. When asked why the next generation of AI models is taking longer to launch, he attributed the delay to these limitations.

Recent reports indicate that OpenAI is facing infrastructure shortages for running and training its AI models. Altman noted that the release of Advanced Voice Mode—a realistic conversational feature for ChatGPT—will be postponed due to these capacity constraints. Additionally, he stated that there is no set release timeline for the latest version of DALL-E, OpenAI’s image-generation tool.

In the same AMA, OpenAI’s Chief Product Officer, Kevin Weil, provided further context, noting that development on Sora, OpenAI’s video-generation tool, has been delayed. According to Weil, the tool requires adjustments for safety, impersonation, and other considerations, alongside the need for scaled computing.

Amid these challenges, OpenAI recently launched an update to ChatGPT, adding real-time web search capabilities that could present competition for traditional search engines. This feature, currently available to ChatGPT Plus and Team subscribers, allows users to obtain live information on topics like weather and stock prices, marking a shift from ChatGPT’s previous focus on historical data. Observers note that this update positions ChatGPT as a more integrated tool for daily internet use by synthesizing information and offering source citations, providing an alternative to conventional search result listings.

In other AI developments, PYMNTS reported on the ways AI is influencing Thanksgiving preparations this year, with guides suggesting how generative AI can assist in budgeting, adjusting recipes, and accommodating dietary needs for the holiday.

Additional PYMNTS research reveals that interest in AI for shopping assistance is growing, with 44% of consumers expressing at least some interest in AI-guided shopping. This interest rises to 60% among Generation Z and 54% among millennials, indicating a trend toward AI’s expanding role in consumer decision-making.

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