Comment by waynerisner
2 days ago
DeepSeek (reasoning) and Gemini (multimodal) have been useful for me — especially when I want stronger pushback or a different angle. What are you hoping to get that you’re not getting from the usual set?
2 days ago
DeepSeek (reasoning) and Gemini (multimodal) have been useful for me — especially when I want stronger pushback or a different angle. What are you hoping to get that you’re not getting from the usual set?
I recently deleted my ChatGPT and was just looking around for what the other options are. I kinda like fast, but Grok / Perplexity are behind a perpetual CloudFlare check for me. I'm looking for something that doesn't spend forever reasoning out the answer to some basic quick question.
It's interesting, as I type that out it makes me wonder why not just go back to the search engine since it has the AI summaries that have been getting better.
Finally, I do also like the longer reasoning when I have a tough question and usually like to copy paste it around to various models and compare their responses.
I’ve had similar friction experiences — especially when reasoning-heavy modes take longer or get retried. That repels me too.
On the search engine comparison: do you feel LLMs reduce cognitive load because they maintain context, whereas search requires more manual synthesis?
Also curious — do you think the frustration is mostly with the model itself, or with the serving/infrastructure layer (Cloudflare, routing, batching, etc.) around it? Both comments seem to point at that layer in different ways.
Do you customize or personalize these at all? Or use it just out of the box? I use gemini for image generation and as an, assistant through my android although not frequently. As a chat assistant the online Google UI is a turnoff personally.
For tone, I prefer efficient — higher signal-to-noise.
In custom instructions I’ll sometimes write something like “tell it like it is.” Interestingly, some models then start with “okay, I’ll tell you like it is…” which makes me wonder whether that’s psychological framing, operational behavior, or both.
Curious why you asked — have you found customization meaningfully changes performance?
Got it.
Since I primarily used ChatGPT, I picked up a bunch of prompts from people sharing it in order to optimize for better results. I don't know if this is relevant anymore as I think they've fixed quite a bit and now you can customize tone and warmth directly.
My prompts were more on avoiding filler, be more direct etc, no emojis etc.