In case you missed it in favor of the Grammy Awards final evening, OpenAI shocked the world late Sunday night with the announcement of its new “Deep Research” modality, an AI agent out there to ChatGPT Professional subscription plan ($200/month) customers that’s designed to avoid wasting people hours by researching, effectively, “deeply” and expansively throughout the online for given matters and compiling skilled high quality stories throughout specialised domains from enterprise to science, drugs, advertising and extra.
Customers of ChatGPT Professional (and shortly, ChatGPT Plus, Workforce, Enterprise and Edu) within the U.S. will be capable of entry Deep Analysis by clicking on the choice beneath the immediate entry/compose bar on the backside of the ChatGPT web site and apps.
Sam Altman, CEO of OpenAI, described the characteristic in a collection of posts on his private account on the social community X as “like a superpower; experts on demand!” He added, “It is really good, and can do tasks that would take hours/days and cost hundreds of dollars.”
Deep Analysis builds on OpenAI’s O Collection of reasoning fashions, particularly leveraging the soon-to-be-released full o3 mannequin (a smaller and fewer highly effective mannequin, o3-mini, was simply launched on Friday). The total o3 mannequin can analyze huge quantities of knowledge and combine textual content, PDFs, and pictures right into a cohesive evaluation.
In a livestream posted to YouTube and out there for replay on demand, Mark Chen, OpenAI’s Head of Frontiers Analysis, defined that “Deep Research is a model that does multi-step research on the internet. It discovers content, synthesizes content, and reasons about this content, adapting its plan as it uncovers more and more information.”
Chen additional highlighted the innovation’s significance to OpenAI’s imaginative and prescient: “This is core to our AGI roadmap. Our ultimate aspiration is a model that can uncover and discover new knowledge for itself.”
The launch of the Deep Analysis marks the second in OpenAI’s official brokers following the launch of its browser and cursor controlling Operator earlier this month. And Joshua Achiam, Head of Mission Alignment at Stargate Command at OpenAI wrote on X, each fashions may also help higher outline the idea of an “AI agent” — a well-liked however nebulous time period lately amongst enterprises — effectively past the corporate or these particular use circumstances.
“I feel like the term ‘agent’ wandered in the desert for a while,” Achaim wrote. “It did not have grounding or examples to point to. But agents like Operator or Deep Research give some shape to this concept. An agent is a general purpose AI that does one or more tool-using workflows for you.”
OpenAI’s Deep Analysis achieves new, highest rating on ‘Humanity’s Final Examination’ AI benchmark
Deep Analysis has set new benchmarks for accuracy and reasoning.
Isa Fulford, a member of OpenAI’s analysis group, shared within the YouTube livestream that the mannequin achieves “a new high of 26.6% accuracy” on “Humanity’s Last Exam” a comparatively new AI benchmark designed to be essentially the most tough for any AI mannequin (or human, for that matter) to finish, masking 3,000 questions throughout 100 completely different topics, resembling translating historical inscriptions on archaeological finds.
Furthermore, its capability to browse the online, cause dynamically, and cite sources exactly units it aside from earlier AI instruments.
“The model was trained using end-to-end reinforcement learning on hard browsing and reasoning tasks,” Fulford mentioned. “It learned to plan and execute multi-step trajectories, reacting to real-time information and backtracking when necessary.”
A standout characteristic of Deep Analysis is its capability to deal with duties that might in any other case take people hours and even days.
Through the announcement, Chen defined that “Deep Research generates outputs that resemble a comprehensive, fully cited research paper—something that an analyst or expert in the field might produce.”
Functions and use circumstances
The use circumstances for Deep Analysis are as various as they’re impactful.
The official OpenAI account on X acknowledged it was “built for people who do intensive knowledge work in areas like finance, science, policy & engineering and need thorough & reliable research.”
It additionally seems priceless for customers searching for customized suggestions or conducting detailed product analysis, in line with examples shared by OpenAI on its official Deep Analysis announcement weblog submit, which features a detailed analysis evaluation of the most effective snowboard for somebody to purchase.
Altman summarized the device’s versatility, writing, “Give it a try on your hardest work task that can be solved just by using the internet and see what happens.”
A private medical success story of Deep Analysis
Felipe Millon, OpenAI’s Authorities Go-to-Market lead, shared a deeply private account of how Deep Analysis impacted his household. Writing in a collection of posts on X, he described his spouse’s battle with bilateral breast most cancers and the way the AI device turned an surprising ally.
“At the end of October, my wife was diagnosed with bilateral breast cancer. Overnight, our world turned upside down,” Millon wrote.
After a double mastectomy and chemotherapy, the couple confronted a crucial choice: whether or not or to not pursue radiation remedy. The state of affairs was fraught with uncertainty, as even their specialists supplied combined suggestions. “For her specific case, it’s completely in a gray area,” Millon defined. “We felt stuck.”
Having preview entry to Deep Analysis, Millon determined to add his spouse’s surgical pathology report and ask whether or not radiation can be helpful. “What happened next was mind-blowing,” he wrote. “It didn’t just confirm what our oncologists mentioned—it went deeper. It cited studies I’d never heard of and adapted when we added details like her age and genetic factors.”
The precise immediate he used was:
“Read the surgical pathology report (attached) containing information about the bilateral breast cancer. Then research whether radiation would be indicated for this patient after 6 rounds of TCHP chemotherapy, based on the type of breast cancer. I want to understand the pros and cons of radiation for this patient, how likely it would be to reduce chances of recurrence, and whether the benefits outweigh the potential long-term risks.”
Millon and his spouse fact-checked every research cited by the mannequin, discovering them to be correct and extremely related. “We’re seeing another specialist soon, but we already feel more confident about our decision,” he wrote. “It gave us peace of mind when we needed it most.”
Availability and what’s subsequent?
Deep Analysis is at the moment out there to Professional customers of ChatGPT, with plans to broaden to the Plus and Workforce tiers, adopted by Enterprise and training markets.
As Chen cautioned, “It’s still possible that it will hallucinate, so when you’re making reports, make sure to check the sources yourself.”
The mannequin’s capability to suppose autonomously for prolonged intervals additionally makes it resource-intensive, and OpenAI is at the moment engaged on optimizing its efficiency for broader accessibility.
OpenAI has additionally hinted at future integrations with customized datasets, which might enable organizations to leverage the device for proprietary analysis.
For Millon, the influence of Deep Analysis is already clear. “We often talk internally at OpenAI about the moments when you ‘feel the AGI,’ and this was one of them,” he wrote. “This thing is going to change the world.”
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