Bookmark: OpenAI’s ‘deep research’ can actually make professional reports with citations
Unlock the power of OpenAI's Deep Research to generate professional reports with citations, saving you hours on complex research tasks.
A standout quote from the article is: According to OpenAI, “deep research was rated by domain experts to have automated multiple hours of difficult, manual investigation”> OpenAI’s ‘Deep Research’ Can Actually Make Professional Reports With Citations
OpenAI’s new feature, Deep Research, embedded within its ChatGPT, showcases the company’s advancements in autonomous AI functionalities. Targeting professionals within science, finance, engineering, and policy, this tool produces comprehensive reports akin to those crafted by research analysts. Operative through the o3 reasoning model, Deep Research can autonomously browse the internet, interpret and synthesize information from diverse digital sources, including text, images, and PDFs. Currently available for ChatGPT Pro users, it is slated to expand to other subscription levels. The service emphasizes high-level research, managing tasks that typically require multiple hours in a notably reduced timeframe. OpenAI highlights its utility in domains requiring detailed, technical insights, providing significant time savings in complex problem-solving scenarios. This innovative tool, however, has limitations, such as its potential to ‘hallucinate’ or inaccurately fabricate information, urging users to review its outputs critically. Despite these challenges, Deep Research has achieved high benchmarks in AI testing, outperforming other AI models in simulated assessments
The agent-shaped org chart
Every real org has the same topology: principal, role-holder, specialists. Staff AI maps onto it, node for node, and the cost collapse shows up in the deliverables that were always just human-handoff overhead.
AI as staff, not software
Two frames for what AI is doing to work. The tool frame makes tools smarter. The staff frame makes roles unnecessary. Those aren't the same product, the same company, or the same industry.
Knowledge work was never work
Knowledge work was always coordination between humans who couldn't share state directly. The artifacts were never the work. They were the overhead — and AI just made the overhead optional.
The work of being available now
A book on AI, judgment, and staying human at work.
The practice of work in progress
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The worker isn't lying. The worker is reporting what it thought it did, which is always one step removed from what the world actually shows. The fix isn't more self-honesty. The fix is a different pair of eyes.
Shopping is the last mile
Every meal planning app treats cooking as the hard problem and shopping as a logistics detail. They have it backwards. Cooking is mostly solved. Shopping is the last mile.
Watch what they buy, not what they say
Forms ask people to declare preferences. Receipts record what they did. The gap between the two is where revealed preference lives, and it's wider than most product teams admit.
Bookmark: How openai’’s new ChatGPT agent can do the research for you - access it here
Discover how OpenAI's ChatGPT Deep Research agent transforms research by autonomously gathering and synthesizing information in minutes.
Bookmark: Rumors are swirling that OpenAI is on the brink of agi and asi
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Bookmark: Sam Altman says OpenAI’s new o3 ‘reasoning’ models begin the ‘next phase’ of AI. Is this agi?
Explore how OpenAI's new o3 reasoning models could redefine AI and usher in the next phase toward Artificial General Intelligence (AGI).