I have a new column this week on OnlySky. It’s about the new AI mode called “deep research”, and whether it solves the problems that have plagued AI in the past.
AI chatbots like ChatGPT were introduced with the promise that they’d act as superintelligent robot librarians. Their creators promised that they could rapidly research and synthesize an answer to any question, putting the entirety of human knowledge at everyone’s fingertips.
As we know, the reality was very different. Chatbots are giant association machines, building up statistical models of which words are more or less likely to follow which other words, like a more complex version of the autocomplete on your phone. They don’t know the difference between right and wrong answers, only what a right answer “sounds like”. This means they have a tendency to invent facts, figures and references, which makes their output inherently unreliable.
However, the companies that created them keep working on improving the technology. Now they claim they have a solution to this problem: “deep research” mode, which forces the AI to cite real footnotes and references for each of its assertions.
In this column, I tested ChatGPT’s deep research mode for myself. How does it stack up?
Read the excerpt below, then click through to see the full piece. This column is free to read, but paid members of OnlySky get some extra perks, like a subscriber-only newsletter:
OpenAI doesn’t hesitate to claim that this is a step toward an artificial general intelligence, or AGI, which is a hypothetical AI that can do anything a human can do—including original research and the discovery of new knowledge.
These claims present a formidable problem for people, like me, reporting on this technology. I don’t want to be an uncritical booster or a salesman. On the other hand, if this is genuinely a breakthrough, people should know about it.
The case for—or against—AI depends very much on its capabilities. If AI is only good for creating unreliable, low-quality slop, all the energy and resources that went into creating it were a waste.
On the other hand, if AI can accelerate the pace of research and discovery, then there’s a real benefit to weigh against the admittedly large amounts of energy it consumes.






