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OpenAI is announcing a newAI “ agent”designed to facilitate people conduct in - depth , complex research usingChatGPT , the company ’s AI - power chatbot platform .
Appropriately enough , it ’s called deep inquiry .
OpenAI aver ina blog postpublished Sunday that this Modern capableness was design for “ hoi polloi who do intensive knowledge body of work in areas like finance , science , policy , and engineering and need thoroughgoing , precise , and reliable research . ” It could also be useful , the troupe contribute , for anyone making “ purchase that typically call for careful enquiry , like cars , appliances , and piece of furniture . ”
Basically , ChatGPT cryptic research is intended for instances where you do n’t just want a quick result or summary , but or else demand to assiduously consider data from multiple websites and other rootage .
OpenAI said it ’s making deep enquiry uncommitted to ChatGPT Pro users today , confine to 100 queries per calendar month , with musical accompaniment for Plus and Team users coming next , stick with by Enterprise . ( OpenAI is targeting a Plus rollout in about a month from now , the troupe said , and the inquiry limits for paid user should be “ significantly gamey ” soon . ) It ’s a geo - direct launch ; OpenAI had no release timeline to portion out for ChatGPT customers in the U.K. , Switzerland , and the European Economic Area .
To use ChatGPT deep research , you ’ll just take “ bass research ” in the composer and then enter a query , with the option to confiscate Indian file or spreadsheets . ( It ’s a web - only experience for now , with fluid and desktop app desegregation to amount later this calendar month . ) inscrutable research could then take anywhere from five to 30 minutes to answer the question , and you ’ll get a notification when the search fill out .
Currently , ChatGPT deep enquiry ’s outputs are text - only . But OpenAI said that it intend to add embedded picture , data visualisation , and other “ analytic ” output soon . Also on the roadmap is the ability to associate “ more specialised data source , ” including “ subscription - based ” and intimate resources , OpenAI add together .
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The with child dubiousness is , just how accurate is ChatGPT cryptic inquiry ? AI is frail , after all . It ’s prostrate tohallucinations and other types of errorsthat could be particularly harmful in a “ mysterious inquiry ” scenario . That ’s perhaps why OpenAI said every ChatGPT recondite research output will be “ fully documented , with clear quotation and a summary of [ the ] thought process , making it easy to cite and affirm the info . ”
The jury ’s out on whether those extenuation will be sufficient to battle AI mistakes . OpenAI ’s AI - powered vane hunting feature film in ChatGPT , ChatGPT Search , not infrequentlymakes gaffes and give amiss result to interrogative . TechCrunch ’s testing found that ChatGPT Searchproduced less utile resultsthan Google Search for certain queries .
To gripe up thick inquiry ’s accuracy , OpenAI is usinga special interpretation of its late announced o3 “ reason ” AI modelthat was school through reinforcement learning on “ real - world tasks requiring web browser and Python pecker use . ” Reinforcement con fundamentally “ teaches ” a model via trial and mistake to reach a specific end . As the model flummox closer to the goal , it experience practical “ rewards ” that , ideally , make it better at the task break down forward .
OpenAI said this version of o3 is “ optimized for web graze and data analysis , ” total that “ it leverage reasoning to lookup , render , and analyze massive sum of textbook , effigy , and PDFs on the net , pivoting as needed in reaction to entropy it encounters . ” The model “ is also capable to browse over user - uploaded Indian file , ” the troupe say , and “ plot of land and iterate on graphical record using [ a Python ] pecker , embed both beget graph and image from web site in its responses , and cite specific judgment of conviction or passages from its sources . ”
OpenAI articulate it tested ChatGPT deep research usingHumanity ’s Last Exam , an evaluation that includes more than 3,000 expert - level questions in a smorgasbord of academic fields . The o3 model powering deep research accomplish an accuracy of 26.6 % , which might look like a failing ground level — but Humanity ’s Last Exam was plan to be tougher than other benchmark to outride ahead of model advancements . accord to OpenAI , the deep research o3 model add up in way in advance ofGemini Thinking(6.2%),Grok-2(3.8 % ) , and OpenAI ’s ownGPT-4o(3.3 % ) .
Still , OpenAI notes that ChatGPT deep inquiry has restriction , sometimes cause mistake and incorrect inferences . cryptic research may struggle to describe authoritative entropy from rumors , the troupe said , and often fails to convey when it ’s uncertain about something — and it can also make formatting errors in reports and citation .
For anyone distressed about the impact of productive AI on student , or on anyone examine to find entropy online , this type of in - profoundness , well - quote output in all probability sound more appealing than a misleadingly simple chatbot sum-up with no acknowledgment . But we ’ll see whether most drug user will in reality subjugate the output to real analysis and two-fold - checking , or if they simply do by it as a more professional - looking text to copy - spread .
And if this all sounds familiar , Google actuallyannounced a interchangeable AI featurewith the exact same name less than two months ago .