I suppose this is as good a place as any to mention this. I've now met two different devs who complained about the weird responses from their LLM of choice, and it turned out they were using a single session for everything. From recipes for the night, presents for the wife and then into programming issues the next day. Don't do that. The whole context is sent on queries to the LLM, so start a new chat for each topic.…
GPT-5.2
631–640 of 1001 posts
Re: GPT-5.2
#632Wow, there's a lot going on with this pelican riding a bicycle: https://gist.github.com/simonw/c31d7afc95fe6b40506a9562b5e83...
The variance is way too high for this test to have any value at all. I ran it 10 times, and each pelican on a bicycle was a better rendition than that, about half of them you could say were perfect.
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Re: GPT-5.2
#633Earlier quoted context omitted.
I consistently have exactly the opposite experience. ChatGPT seems extremely willing to do a huge number of searches, think about them, and then kick off more searches after that thinking, think about it, etc., etc. whereas it seems like Gemini is extremely reluctant to do more than a couple of searches. ChatGPT also is willing to open up PDFs, screenshot them, OCR them and use that as input, whereas Gemini just igno…
I will say that it is wild, if not somewhat problematic that two users have such disparate views of seemingly the same product. I say that, but then I remember my own experience just from few days ago. I don't pay for gemini, but I have paid chatgpt sub. I tested both for the same product with seemingly same prompt and subbed chatgpt subjectively beat gemini in terms of scope, options and links with current decent de…
We've been having trouble telling if people are using the same product ever since Chat GPT first got popular. The had a free model and a paid model, that was it, no other competitors or naming schemes to worry about, and discussions were still full of people talking about current capabilities without saying what model they were using.
For me, "gemini" currently means using this model in the llm.datasette.io cli tool.
openrouter/google/gemini-3-pro-preview
For what anyone else means? If they're equivalent? If Google does something different when you use "Gemini 3" in their browser app vs their cli app vs plans vs api users vs third party api users? No idea to any of the above.
I hate naming in the llm space.
Re: GPT-5.2
#634Earlier quoted context omitted.
There is no competing product for GPT Voice. Hands down. I have tried Claude, Gemini - they don't even comes close. But voice is not a huge traffic funnel. Text is. And the verdict is more or less unanimous at this time. Gemini 3.0 has outdone ChatGPT. I unsubscribed from GPT plus today. I was a happy camper until the last month when I started noticing deplorable bugs. 1. The conversation contexts are getting intertw…
What's that near free subscription? I don't see it here
yeah, the best Ive seen is like 1.99 for two months, then back to normal pricing....
Re: GPT-5.2
#635I have been using chatGPT a ton over the last months and paying the subscription. Used it for coding, news, stock analysis, daily problems, and a whatever I could think of. I decided to give Gemini a go when version three came out to great reviews. Gemini handles every single one of my uses cases much better and consistently gives better answers. This is especially true for situations were searching the web for curre…
> The biggest complaint is that all links get inserted into google search and then I have to manipulate them when they should go directly to the chosen website, this has to be some kind of internal org KPI nonsense. Oh I know this from my time at Google. The actual purpose is to do a quick check for known malware and phishing. Of course these days such things are better dealt with by the browser itself in a privacy p…
I think Gemini is just broken.
Instead of forwarding model-generated links to https://www.google.com/url?q=[URL], which serves the purpose of malware check and user-facing warning about linking to an external site, Gemini forwards links to https://www.google.com/search?q=[URL], which does... a Google search for the URL, which isn't helpful at all.
Example: https://gemini.google.com/share/3c45f1acdc17
NotebookLM by comparison, does the right thing: https://notebooklm.google.com/notebook/7078d629-4b35-4894-bb...
It's kind of impressive how long this obviously-broken link experience has been sitting in the Gemini app used by millions.
Re: GPT-5.2
#636Can this be used without uploading my code base to their server?
Re: GPT-5.2
#637Re: GPT-5.2
#638I have been using chatGPT a ton over the last months and paying the subscription. Used it for coding, news, stock analysis, daily problems, and a whatever I could think of. I decided to give Gemini a go when version three came out to great reviews. Gemini handles every single one of my uses cases much better and consistently gives better answers. This is especially true for situations were searching the web for curre…
It happened at least once; when I asked too many questions, the Gemini web page stopped working because it was occupying too much RAM...
Re: GPT-5.2
#639Looks like they've begun censoring posts at r/Codex and not allowing complaint threads so here is my honest take: - It is faster which is appreciated but not as fast as Opus 4.5 - I see no changes, very little noticeable improvements over 5.1 - I do not see any value in exchange for +40% in token costs All in all I can't help but feel that OpenAI is facing an existential crisis. Gemini 3 even when its used from AI St…
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Re: GPT-5.2
#640Are there any specifics about how this was trained? Especially when 5.1 is only a month old. I'm a little skeptical of benchmarks these days and wish they put this up on llmarena edit: noticed 5.2 is ranked in the webdev arena (#2 tied with gemini-3.0-pro), but not yet in text arena (last update 22hrs ago)
I’m extremely skeptical because of all those articles claiming OpenAI was freaking out about Gemini - now it turns out they just casually had a better model ready to go? I don’t buy it.
how do you know this is a better model? I wouldn't take any of the numbers at face value especially when all they have done is more/better post-training and thus the base pre-trained model capabilities is still the same. The model may just elicit some of the benchmark capabilities better. You really need to spend time using the model to come to any reliable conclusions.