Can agentic AI really produce novel understandings, insights, and creative discoveries?
, and no one more so than OpenAI. Its ChatGPT-like model R1 received raving reviews with a fraction of the development cost. President Trump called it acall for the entire American tech industry. Now, just days later, OpenAI is striking back: yesterday, the company released a newincludes an original artwork. Clicking on them will take you to their websites. I am grateful for all the collaborators, sharing their work.
OpenAI’s choice of name, Deep Research, apart from playing off DeepSeek, intentionally or not, is provoking. Are these gen-AI reports really research? And more specifically, can they replace scientific research? “The ability to synthesize knowledge is a prerequisite for creating new knowledge,” OpenAI wrote in their introductory post.
We, researchers, think of our work as more than synthesis and rigorous repetitive validations; it often comes down to that moment of inspiration, a spark of illusive creativity that keeps us going. Not so different, we often feel, from the spark of artistic creativity. OpenAI has already challenged the latter with. A year later, almost to the day, it is challenging our concept of scientific creativity.
Honest research acknowledges its own limitations, always. ChatGPT’s new model is still prone to hallucinations, and overconfidence. It is still, as stated by the company, failing to convey uncertainty of its own findings. What does this mean when such models will be incorporated with, a model that can perform actual real-world tasks for users. For now, booking a table at a restaurant or ordering food from a shopping list does not require massive verification.
Deepseek Deep Research Agentic AI Chatgpt Creativity Sceince Operator
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