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OpenAI’s ChatGPT Introduces 'Deep Research' for Smarter and Faster Insights; Is Deepseek AI Hotting Up The Scene?

OpenAI’s ChatGPT Deep Research revolutionises online research by providing fast, multi-step insights, while DeepSeek challenges with cost-effective, high-performance AI.

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OpenAI has launched Deep Research, a powerful new feature for ChatGPT that quickly handles multi-step research tasks, making it easier to gather and analyse information. This update enhances ChatGPT’s value for professionals and researchers. However, a new competitor, DeepSeek, a Chinese AI startup, is shaking up the AI race with its cost-effective, high-performance models. DeepSeek’s budget-friendly approach is gaining traction, challenging ChatGPT’s dominance. With both AI giants now in the spotlight, the future of AI-powered research is becoming more competitive.

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What is Deep Research in ChatGPT?

Deep Research is an advanced function within ChatGPT, developed to assist with complex research tasks. Using a version of OpenAI’s upcoming o3 model, it is capable of conducting extensive searches, analysing text, images, and PDFs, and synthesising vast amounts of information into comprehensive reports. This tool can tackle complicated questions and produce insights at the level of a professional research analyst.

Unlike traditional search engines, Deep Research goes beyond simply collecting data; it interprets and analyses it, making connections between multiple sources to give you reliable, precise answers. Whether you need help with competitive analysis, technical questions, or niche information, this feature can provide a detailed, well-researched output in a fraction of the time it would take a human.

How Does ChatGPT’s Deep Research Work?

Deep Research works by independently browsing the internet to gather data. It uses reasoning to guide its search, adapting to new information as it finds it. For example, if you ask it for a report on the latest trends in streaming platforms, Deep Research will dive into multiple sources, including websites, images, and documents, and generate a comprehensive report, complete with citations. This multi-step approach is powered by OpenAI's advanced algorithms and models, including the o3 model optimised for data analysis.

This feature is perfect for those working in fields that demand in-depth research, such as science, policy, and finance. It is equally useful for consumers who want detailed recommendations before making major purchases, such as cars, furniture, or electronics. Every report generated by Deep Research comes with clear documentation, making it easy to verify and reference the information.

Deep Research vs. GPT-4: What’s the Difference?

While GPT-4 is great for real-time, multimodal conversations, Deep Research is specifically designed for in-depth, domain-specific inquiries that require detailed exploration and documentation. The real advantage of Deep Research lies in its ability to not only search and summarise information but to cite sources and present verified results. This makes it ideal for high-stakes research tasks that need precision and reliability.

The Future of Deep Research in ChatGPT

Currently, Deep Research is available to Pro users, with access set to expand to Plus and Team users in the coming months. Eventually, OpenAI plans to offer even more specialised features, such as connecting to subscription-based or internal data sources, making the research even more personalised. The tool’s access will be extended to mobile and desktop apps soon.

The Growing AI Rivalry

The AI race is becoming more competitive, with both OpenAI and DeepSeek leading the charge in different ways. While ChatGPT’s Deep Research feature promises to revolutionise research tasks, DeepSeek’s cost-effective models are rapidly gaining traction. This evolving rivalry highlights the growing importance of both performance and cost-efficiency in shaping the future of AI-powered tools.

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