If any of this is remotely true, not only did it catch up, it’s wiping the floor with how useful it can be compared to GPT4. Not going to make a judgement until I can actually try it out though.
In the demo videos gemini needs about a minute to answer long context questions. Which is better than reading thousands of pages yourself. But if it has to compete with classical search and skimming it might need some optimization.
Replacing grep or `ctrl+F` with Gemini would be the user's fault, not Gemini's. If classical search for a job already a performant solution, use classical search. Save your tokens for jobs worthy of solving with a general intelligence!
I think some of the most useful apps will involve combining this level of AI with traditional algorithms. I've written lots of code using the OpenAI APIs and I look forward to seeing what can be done here. If you type, "How has management's approach to comp changed over the past five years?" it would be neat to see an app generate the greps needed to find the appropriate documents and then feed them back into the LLM to answer the question.
