Isla Fulford, a researcher at OpenAI, had a hunch that Deep Research could be successful even earlier than it was launched.
Fulford had helped construct the factitious intelligence agent, which autonomously explores the net, deciding for itself what hyperlinks to click on, what to learn, and what to collate into an in-depth report. OpenAI first made Deep Research out there internally; at any time when it went down, Fulford says, she was inundated with queries from colleagues wanting to have it again. “The number of people who were DMing me made us pretty excited,” says Fulford.
Since going reside to the general public on February 2, Deep Research has confirmed to be successful with many customers outdoors the corporate too.
“Deep Research has written 6 reports so far today,” Patrick Collison, the CEO of Stripe posted on X a number of days after the product was launched. “It is indeed excellent. Congrats to the folks behind it.”
“Deep Research is the AI product that really got a meaningful chunk of the policymaking community in DC to start feeling the AGI,” wrote Dean Ball, a fellow at George Mason University who focuses on AI coverage.
Deep Research is obtainable as a part of the ChatGPT Pro plan, which prices $200 per 30 days. It takes a question, akin to “Write me a report on the Massachusetts health insurance industry,” or “Tell me about WIRED’s coverage of the Department of Government Efficiency,” after which comes up with a plan, trying to find related web sites, combing by way of their content material, and deciding what hyperlinks to click on and what data deserves additional investigation. After exploring for typically tens of minutes, it synthesizes its findings into an in depth report, which can embody citations, information, and charts.
Many instruments at present branded as AI brokers are basically chatbots linked to easy packages with out a lot sophistication. The Deep Research mannequin itself goes by way of a synthetic type of reasoning earlier than devising a plan and shifting ahead with every step. The mannequin offers particulars of this reasoning behind its analysis in a aspect window.
“Sometimes it’s like ‘I need to backtrack, this doesn’t seem that promising,’” says Josh Tobin, one other OpenAI researcher concerned in constructing Deep Research. “It’s pretty cool to read some of those trajectories, just to understand how the model is thinking.”
OpenAI evidently sees Deep Research as a device that might tackle extra workplace work. “This is a thing that we can scale,” Tobin says, including that the agent may very well be educated to finish particular white-collar work. An agent with entry to an organization’s inside information might shortly put together a report or presentation, as an illustration. Tobin says the longer aim is to “build an agent that is not just good at building reports through searching the web, but is good at many other types of tasks too.”
Because Deep Research was educated to investigate and summarize human-written textual content, Tobin says his workforce was shocked to see many individuals utilizing it to generate code. “It’s an interesting thread to pull,” he says. “We’re not totally sure what to make of it.”
https://www.wired.com/story/openais-deep-research-agent-is-coming-for-white-collar-work/