Back in 2022, after my first encounter with ChatGPT, I suggested that it was likely to wipe out large categories of “bullshit jobs”, but unlikely to create mass unemployment. In retrospect, that was probably an overestimate of the likely impact. But three years later, it seems as if an update might be appropriate.

In the last three years, I have found a few uses for LLM technology. First, I use a product called Rewind, which transcribes the content of Zoom meetings and produces a summary (you may want to check local law on this). Also, I have replaced Google with Kagi, a search engine which will, if presented with a question, produced a detailed answer with links to references, most of which are similar to those I would have found on an extensive Google search, avoiding ads and promotions. Except in the sense that anything on the Internet may be wrong, the results aren’t subject to the hallucinations for which ChatGPT is infamous.

Put high-quality search and accurate summarization together and you have the technology for a literature survey. And that’s what OpenAI now offers as DeepResearch I’ve tried it a few times, and it’s as good as I would expect from a competent research assistant or a standard consultant’s report. If I were asked to do a report on a topic with which I had limited familiarity, I would certainly check out what DeepResearch had to say.