5 ms·

This might be great and all but I am still miffed at how simple search on AI Studio is. You can only search the titles of your conversations and nothing inside

This might be great and all but I am still miffed at how simple search on AI Studio is. You can only search the titles of your conversations and nothing inside them. On top of that they messed with the scrolling so Ctrl+F doesn't work reliably.

greesil 4mo ago
Too bad they can't just easily vibe code new features.
- bloqs 4mo ago
  Yeah, what happened to no more SWE
- telotortium 4mo ago
  Ironically, they probably could if they used Codex or Claude Code. Those harnesses and models are good enough to do that these days (since late last year, and getting better since then). However, it seems that DeepMind and no one else at Google has access to either of these.
deleted 4mo ago
[deleted]
stingraycharles 4mo ago
Yeah, it’s surprising, Claude Desktop has had project files since decades which are chunked/indexed and automatically injected into your context based on the topic. You’d think this would be fairly obvious for Google to do, but it’s probably an organizational problem rather than a technical one.
pants2 4mo ago
It's incredible how far behind Gemini has gotten, both the product and the model. Even the ChatGPT plugin for Google Sheets blows away the native Gemini integration. Everyone thought Google was pulling ahead with Gemini 3. For a minute there they had the best language model, image model, AND video model in the world. But it's like they decided to pull over for a nap while OpenAI and Anthropic flew by.
- thefounder 4mo ago
  I never felt Gemini was ever better than the OpenAI or Anthropic. I think it’s more on par with open source models than the top 2
- wilj 4mo ago
  I just cancelled my Gemini subscription yesterday. I have a big private fork of OpenCode, and I did it the wrong way to start with, so I couldn't pull from upstream. So I put together a plan for refactoring it, step by step, with tests, etc. After literally 8 solid days of fighting with Gemini 3 Pro, I still couldn't pull it off. I gave GPT 5.5 a chance with the same prompt, plans, and repo. I'm not sure how long it took, but when I checked in on it a few hours later it was done. All tests passed, everything exactly how I'd asked, and better (it made some improvements).
- comboy 4mo ago
  3.1-pro is still very capable, and API is at competitive price vs e.g. Anthropic, they just can't seem to figure out RLHF and harness. It needs a lot of guiding, it tends to be lazy and poorly sticking to instructions by default. It just feels like many google products really, they are capable of really amazing things, it's just that nobody there seem to care. I would guess they are likely optimizing more for internal use than their vast userbase.
  - logicchains 4mo ago
    They optimize for making their SRE's lives easier, over quantizing models regardless of how negative an effect that has on the user.
- diegoperini 4mo ago
  I have the opposite experience where Gemini (even the flash models) has the only useful model for my reverse engineering related use case. My hunch is Google utilizes its free access to entire Google search indices to train itself from niche non-English speaking community websites, much frequently and in a "relevant" manner, which in the end gives these models the most up to date info for this particular kind of work. Every other model is just either 10 years outdated with their answers or simply hallucinates like waaaay crazy.
qingcharles 4mo ago
I've come across a few weird search issues like this with Google lately. Entire company built on the best search engine ever created; can't do search properly in their apps.
sega_sai 4mo ago
The search in Gemini app in the browser is so embarrassingly bad that I get an impression that nobody of importance in Google must be using it otherwise they would have fixed long ago.
varispeed 4mo ago
I am more miffed that you cannot delete conversations.
buggyipadmettoo 4mo ago
I built a solution for this (in 20 mins with the help of Gemini!). 1. use Google App Scripts to duplicate all the convos saved in your google drive to another folder, and append each ".txt". Mine runs every day. 2. enable API in google cloud console, install google-api-python-client on desktop,then created a workflow in Alfred to search from desktop. Now I can search my AI Studio convos + content just as fast as any other file on my desktop : )

greesil 4mo ago

Too bad they can't just easily vibe code new features.

bloqs 4mo ago
Yeah, what happened to no more SWE
telotortium 4mo ago
Ironically, they probably could if they used Codex or Claude Code. Those harnesses and models are good enough to do that these days (since late last year, and getting better since then). However, it seems that DeepMind and no one else at Google has access to either of these.

deleted 4mo ago

[deleted]

stingraycharles 4mo ago

Yeah, it’s surprising, Claude Desktop has had project files since decades which are chunked/indexed and automatically injected into your context based on the topic. You’d think this would be fairly obvious for Google to do, but it’s probably an organizational problem rather than a technical one.

pants2 4mo ago

It's incredible how far behind Gemini has gotten, both the product and the model. Even the ChatGPT plugin for Google Sheets blows away the native Gemini integration. Everyone thought Google was pulling ahead with Gemini 3. For a minute there they had the best language model, image model, AND video model in the world. But it's like they decided to pull over for a nap while OpenAI and Anthropic flew by.

thefounder 4mo ago
I never felt Gemini was ever better than the OpenAI or Anthropic. I think it’s more on par with open source models than the top 2
wilj 4mo ago
I just cancelled my Gemini subscription yesterday. I have a big private fork of OpenCode, and I did it the wrong way to start with, so I couldn't pull from upstream. So I put together a plan for refactoring it, step by step, with tests, etc. After literally 8 solid days of fighting with Gemini 3 Pro, I still couldn't pull it off. I gave GPT 5.5 a chance with the same prompt, plans, and repo. I'm not sure how long it took, but when I checked in on it a few hours later it was done. All tests passed, everything exactly how I'd asked, and better (it made some improvements).
comboy 4mo ago
3.1-pro is still very capable, and API is at competitive price vs e.g. Anthropic, they just can't seem to figure out RLHF and harness. It needs a lot of guiding, it tends to be lazy and poorly sticking to instructions by default. It just feels like many google products really, they are capable of really amazing things, it's just that nobody there seem to care. I would guess they are likely optimizing more for internal use than their vast userbase.
- logicchains 4mo ago
  They optimize for making their SRE's lives easier, over quantizing models regardless of how negative an effect that has on the user.
diegoperini 4mo ago
I have the opposite experience where Gemini (even the flash models) has the only useful model for my reverse engineering related use case. My hunch is Google utilizes its free access to entire Google search indices to train itself from niche non-English speaking community websites, much frequently and in a "relevant" manner, which in the end gives these models the most up to date info for this particular kind of work. Every other model is just either 10 years outdated with their answers or simply hallucinates like waaaay crazy.

qingcharles 4mo ago

I've come across a few weird search issues like this with Google lately. Entire company built on the best search engine ever created; can't do search properly in their apps.

sega_sai 4mo ago

The search in Gemini app in the browser is so embarrassingly bad that I get an impression that nobody of importance in Google must be using it otherwise they would have fixed long ago.

varispeed 4mo ago

I am more miffed that you cannot delete conversations.

buggyipadmettoo 4mo ago

I built a solution for this (in 20 mins with the help of Gemini!). 1. use Google App Scripts to duplicate all the convos saved in your google drive to another folder, and append each ".txt". Mine runs every day. 2. enable API in google cloud console, install google-api-python-client on desktop,then created a workflow in Alfred to search from desktop. Now I can search my AI Studio convos + content just as fast as any other file on my desktop : )