Comment by eaf7e281
8 hours ago
I kinda agree. Their model just doesn't feel "daily" enough. I would use it for any "agentic" tasks and for using tools, but definitely not for day to day questions.
8 hours ago
I kinda agree. Their model just doesn't feel "daily" enough. I would use it for any "agentic" tasks and for using tools, but definitely not for day to day questions.
Why? I use it for all and love it.
That doesn't mean you have to, but I'm curious why you think it's behind in the personal assistant game.
I have three specific use cases where I try both but ChatGPT wins:
- Recipes and cooking: ChatGPT just has way more detailed and practical advice. It also thinks outside of the box much more, whereas Claude gets stuck in a rut and sticks very closely to your prompt. And ChatGPT's easier to understand/skim writing style really comes in useful.
- Travel and itinerary: Again, ChatGPT can anticipate details much more, and give more unique suggestions. I am much more likely to find hidden gems or get good time-savers than Claude, which often feels like it is just rereading Yelp for you.
- Historical research: ChatGPT wins on this by a mile. You can tell ChatGPT has been trained on actual historical texts and physical books. You can track long historical trends, pull examples and quotes, and even give you specific book or page(!) references of where to check the sources. Meanwhile, all Claude will give you is a web search on the topic.
How does #3 square with Anthropic's literal warehouse full of books we've seen from the copyright case? Did OpenAI scan more books? Or did they take a shadier route of training on digital books despite copyright issues, but end up with a deeper library?
2 replies →
It's hard to say. Maybe it has to do with the way Claude responds or the lack of "thinking" compared to other models. I personally love Claude and it's my only subscription right now, but it just feels weird compared to the others as a personal assistant.
Oh, I always use opus 4.5 thinking mode. Maybe that's the diff.
My 2 cents:
All the labs seem to do very different post training. OpenAI focuses on search. If it's set to thinking, it will search 30 websites before giving you an answer. Claude regularly doesn't search at all even for questions it obviously should. It's postraining seems more focused on "reasoning" or planning - things that would be useful in programming where the bottleneck is: just writing code without thinking how you'll integrate it later and search is mostly useless. But for non coding - day to day "what's the news with x" "How to improve my bread" "cheap tasty pizza" or even medical questions, you really just want a distillation of the internet plus some thought
But that’s what makes it so powerful (yeah, mixing model and frontend discussion here yet again). I have yet to see a non-DIY product that can so effortlessly call tens of tools by different providers to satisfy your request.
Claude is far superior for daily chat. I have to work hard to get it to not learn how to work around various bad behaviors I have but don’t want to change.