OpenAI has introduced a novel instrument called Deep Research, which performs extensive online research for intricate tasks as its name implies. According to the developers of ChatGPT, what this tool can accomplish in just ten minutes would typically require many hours for a human counterpart.
As a tech enthusiast, I can’t help but share my excitement about the recent announcement that follows the buzz surrounding DeepSeek’s latest innovation. Just days ago, they unveiled their R1 V3-powered AI application, which was surprisingly trained using only $6 million and reinforcement learning techniques. Remarkably, this app surpasses OpenAI’s o1 reasoning model in numerous benchmarks, such as coding, science, and mathematics. What truly piques my interest is the company’s claim that their agentic AI tool has the potential to reach impressive heights, perhaps even equaling the performance index of a seasoned research analyst.
OpenAI’s new agent, called Deep Research, is designed to work autonomously, providing you with detailed reports based on your prompts. With ChatGPT, it will scour hundreds of online resources, evaluate their content, and synthesize the findings into a report that mirrors the work of a research analyst. This powerful tool is powered by an optimized version of OpenAI’s upcoming o3 model, which excels in web browsing and data analysis. It uses reasoning to search, understand, and analyze vast amounts of text, images, and PDFs found on the internet, adjusting its approach based on the information it encounters.
The tool gathers, examines, and combines vast amounts of data from the internet to generate a detailed report in response to a user’s question. Deep Research is accessible only to ChatGPT Pro subscribers for $200 per month, but OpenAI plans to make it available soon for Plus and Team users as well.
Sam Altman, CEO of OpenAI, mentioned that Deep Research is currently capable of performing only a small fraction (single-digit percentage) of all economically significant tasks globally. He also suggested that this tool presents an opportunity to explore new realms by weaving together knowledge in innovative ways. This could eventually result in AI agents that are not just executing existing knowledge, but actually generating new knowledge. This comes amidst discussions about the progression of AI being limited due to the scarcity of high-quality data for model training.
To date, OpenAI has introduced two artificial intelligence tools: Deep Research and Operator, debuted in January. These tools are engineered to manage computers and execute tasks independently. Deep Research specifically aims to aid experts in finance, science, and engineering by facilitating in-depth exploration of intricate subjects that demand meticulous analysis.
OpenAI’s range of reasoning models seemingly constitute AGI
Remarkably, an employee at OpenAI, @pranaveight, on a different platform (originally Twitter), described his experience with in-depth research as a highly significant moment for himself, which he called an “AGI moment.” He went on to explain that it now takes him only 10 minutes to produce precise and comprehensive competitive and market research (with references) – work that used to consume him 3 hours.
Discovering how to use Deep Research has been a significant breakthrough in my personal experience, almost like an Artificial General Intelligence (AGI) milestone. With Deep Research, I can now gather accurate and comprehensive competitive and market research (complete with sources) within just 10 minutes – a task that used to consume 3 hours of my time previously. This tool is transforming computational power into productivity at a cost of $200 per month. You can check it out here: [Deep Research Link]
February 3, 2025
Over the last few years, the term Artificial General Intelligence (AGI) has been frequently discussed. It appears that OpenAI employees often connect their significant projects with AGI. For example, when the ChatGPT’s o1 reasoning model became widely available, a technical staff member declared that the company had accomplished AGI.
From my perspective, I believe we’ve reached a stage of Artificial General Intelligence (AGI) that is increasingly evident with advancements like O1. While we haven’t quite surpassed humans in every single task, what we’ve accomplished is exceeding the abilities of most humans in a majority of tasks.
As a researcher, I find it intriguing to note that the leaked documentation of Microsoft’s alliance with OpenAI clearly stipulates that ChatGPT will not reach its pinnacle until they successfully develop an advanced AI system, projected to yield profits upwards of $100 billion.
According to reports, OpenAI might be renegotiating their terms, potentially ending its partnership with Microsoft, to acquire additional financing and expand its utilization of cloud computing resources upon achieving Artificial General Intelligence (AGI).
As a researcher, I must clarify that despite CEO Sam Altman labeling Advanced General Intelligence (AGI) reports as “Twitter hype,” it’s essential to understand that OpenAI hasn’t yet developed AGI and won’t be launching it in February, as previously suggested. However, Mr. Altman assures us that OpenAI possesses the knowledge to construct AGI, and we might attain this milestone sooner than expected with minimal societal upheaval compared to initial predictions.
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2025-02-04 16:10