671–680 of 1001 posts
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Gemini 3 Pro Preview also got more expensive than 2.5 Pro. 2.5 Pro: $1.25 input, $10 output (million tokens) 3 Pro Preview: $2 input, $12 output (million tokens)
Literally no difference in productivity from a free/ $1.00+ per mm output are literal scams. No added value to the world.
Is it me, or did it still get at least three placements of components (RAM and PCIe slots, plus it's DisplayPort and not HDMI) in the motherboard image[0] completely wrong? Why would they use that as a promotional image? 0: https://images.ctfassets.net/kftzwdyauwt9/6lyujQxhZDnOMruN3f...
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I generate fun images for my kids - turn photos into a new style, create colouring pages from pictures, etc. I lost interest in chatGPT because it throws vague TOS errors constantly. Gemini handles all of this without complaint.
You feed ai slop to your children? That doesn't seem unhealthy and bad for their development?
Colouring pages autogenerated for small kids is about as dangerous as the crayons involved.
Not slop, not unhealthy, not bad.
I 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…
I 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…
I 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…
>OCR is phenomenal
I literally tried to OCR a TYPED document in Gemini today and it mangled it so bad I just transcribed it myself because it would take less time than futzing around with gemini.
> Gemini handles every single one of my uses cases much better and consistently gives better answers.
>coding
I asked it to update a script by removing some redundant logic yesterday. Instead of removing it it just put == all over the place essentially negating but leaving all the code and also removing the actual output.
>Stocks analysis
lol, now I know where my money comes from.
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Not necessarily. GPT-4.5 was a new pretrain on top of a sizeable raw model scale bump, and only got 0.5 - because the gains from reasoning training in o-series overshadowed GPT-4.5's natural advantage over GPT-4. OpenAI might have learned not to overhype. They already shipped GPT-5 - which was only an incremental upgrade over o3, and was received poorly, with this being a part of the reason why.
I jumped straight from 4o (free user) into GPT-5 (paid user). It was a generational leap if there ever has been one. Much bigger than 3.5 to 4.
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Due to the "Code Red" threat from Gemini 3, I suspect they'll hold off throttling for longer than usual (by incinerating even more investor capital than usual). Jump in and soak up that extra-discounted compute while the getting is good, kids! Personally, I recently retired so I just occasionally mess around with LLMs for casual hobby projects, so I've only ever used the free tier of all the providers. Having lived t…
I've been using tools like ProxLLM which just slam these AI models via proxy everytime a free tier limit is hit and it works great.
I feel there is a point when all these benchmarks are meaningless. What I care about beyond decent performance is the user experience. There I have grudges with every single platform and the one thing keeping me as a paid ChatGPT subscriber is the ability to sort chats in "projects" with associated files (hello Google, please wake up to basic user-friendly organisation!) But all of them * Lie far too often with confi…
Some issues you mentioned like length of response might be user preference. Other issues like "hallucination" are areas of active research (and there are benchmarks for these).
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.…
Now I kind of wonder if I’m missing out by not continuing the conversation too much, or by not trying to use memory features.