SearchGPT By OpenAI | 2 Min AI+Tech
Tuesday 17 Dec 2024
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OpenAI brings its AI-powered web search tool to more ChatGPT users
ChatGPT Search, OpenAI’s AI-powered web search experience, is now live for all ChatGPT users — with several new features in tow.
By default, ChatGPT will automatically determine which questions to route through ChatGPT Search, or users can tap a new “Search the web” icon in the ChatGPT interface. ChatGPT Search shows summarized answers from different online sources, as well as “rich” content like embedded photos and YouTube videos.
ChatGPT Search launched in October as an evolution of OpenAI’s SearchGPT prototype, unveiled this summer. Powered by a fine-tuned version of OpenAI’s GPT-4o model, ChatGPT Search serves up information from the web — like sports scores, news, stock quotes, and more — along with links to relevant sources, at which point users can ask follow-up questions to refine their search.
ChatGPT Search was initially only available for premium ChatGPT subscribers. Now nonpaying users can access it as well.
Ilya Sutskever: The More AI Reasons, The More Unpredictable It Becomes
Speaking at the NeurIPS conference in Vancouver, Sutskever, a co-founder of OpenAI and now heading Safe Superintelligence Inc., laid out his vision for the next stage of AI evolution while reflecting on the journey so far.
Sutskever received the “Test of Time” award for his groundbreaking 2014 research, co-authored with Oriol Vinyals and Quoc Le, which popularized the idea of scaling up data to pre-train AI systems. This concept paved the way for transformative technologies like OpenAI’s ChatGPT, launched in 2022, which revolutionized human-machine interactions. However, Sutskever warned that this methodology is nearing its ceiling.
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While computational power continues to grow exponentially, the availability of data is increasingly limited. “We have but one internet,” he remarked, remarking that AI’s next breakthroughs will require innovations beyond simply scaling data and computing power.
Sutskever outlined potential strategies to overcome this bottleneck. AI could be designed to generate its own training data or refine its outputs by evaluating multiple responses, enhancing precision and contextual understanding. Other researchers have proposed leveraging diverse real-world data sources to push technological boundaries further.
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