The things they were good at a year ago they’re still good at and what they were bad at they’re still bad at.
The products and infrastructure around them is better. Claude Artifacts are cool, for example. O1 has some clever prompting under the hood.
I just don’t know how much stock we should put in benchmarks.
They’re dubious for software performance as well.
Now, none of us enter average queries :) We all have specific use cases in mind. So any specific user's mileage will vary.
I personally feel substantial improvement. I don't feel the need to google every LLM answer 5 times to feel confident about it :)
I have been mislead several times in very subtle ways when trying to ask specific questions to chatgpt and Claude.
It actually burned me at work. Made me look bad and caused my project to take an extra a sprint because of incorrect info about the web history API that came with working examples.
I just can’t ever trust information from these systems, unless they include sources to first party docs.
Overall, the field has seen tremendous progress -- whether or not most users realize just how far we’ve come. Marcus's predictions don't sound specific enough -- no GPT5? Correct. But, what does that even mean?