OpenAI ChatGPT Enhances Deep Research for Detailed Answers

OpenAI has enhanced ChatGPT by introducing advanced research abilities. Now, the AI can search the Internet for necessary information, allowing it to take several steps to find its answers and spend more time working on them. This improvement has led to a significant boost in ChatGPT’s ability to tackle challenging, PhD-level inquiries on the Humanity’s Last Exam AI large language model (LLM) benchmark, effectively doubling its accuracy.

Live Internet Access

With the ability to access live online information, ChatGPT can now provide timely and relevant responses. Most AI language models rely on a fixed dataset from their training, meaning they can only respond accurately to questions based on the information they were trained on. However, ChatGPT utilizes a new o3 LLM model that can browse the Internet and perform data analysis, giving it a distinct advantage.

Multi-Step Thought Process

The deep research capabilities of ChatGPT mimic human reasoning when answering intricate questions. It can gather essential data required to address various components of a complex prompt, analyze that data, and synthesize the information into a cohesive response. For instance, it might first retrieve data on laptop and desktop sales by brand, then evaluate the information to identify which brands lead in sales for each category.

Extended Response Times

Most chatbots are limited in the amount of time they can spend responding to prompts, usually under ten seconds. In contrast, providing a well-researched and detailed answer to a complex question necessitates additional time. ChatGPT can now utilize up to 30 minutes to formulate its responses, allowing for more comprehensive insights.

Pro users will be the first to experience the new deep research feature, followed by Plus, Team, and Enterprise users. Those who pay for the service in the US will have immediate access, while users in the European Economic Area, Switzerland, and the UK will receive the feature in a gradual rollout. Since deep research is resource-intensive and responses can take up to half an hour, Pro users will start with a limit of 100 queries per month. The current cost for a Pro subscription stands at $200 monthly.

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