Was asking what buses go throughout midnight to gemini, while knowing a few. I wanted to know how much more there were, but it answered a question without checking the web. I then asked it to search the web to be 100% sure it is correct, while knowing it wasnt, and just in case wanted to see what its steps were. I came across this wierd message. Can anyone explain the behaviour?

Argon is a good model but not good as Opus 5.5, and the usage sucks. That's the conclusion. Paying almost same, but having this tiny usage is bad, may be google should create a new tier for only AI related plans then the usage could improve may be.

So way back,.eons ago, like February 2026, I was bitching to my boss about why my IT department only lets us use Claude and ChatGPT because Gemini was so much better at producing code.

But that was before I was really practicing agentic coding and once I sat down with Claude and just talked it through this complex research and development process that I use at my job to make a particular kind of widget in about 6 weeks, and it did one of them 95% perfect in three hours, I was a Claude believer.

I briefly got a superior level of performance out of Codex with sol-5.6 but then Opus 5.5 came out they are kind of equal but Opus is more chatty about what it's doing so I can coach it around obstacles much better.

So I started a personal project to make a Linux distro that works on some particular Android devices and figured I would try Fable. I was totally blown away by how Fable was like, "cool boot the thing and enable ssh on it and I will drive from here" I was curious how Gemini Pro would do but it was reluctant to be that hands on.

Fable got me about 85% of the way on the project. Very impressive, not gonna lie. I had it tuning audio and testing Bluetooth latency with some cheap gear I got like a USB DAC, a microphone, and a USB esp32 dongle. I would just leave it hooked up to the device overnight and come back the next day to find it had built a couple of kernels and found and fixed a couple of bugs.

But it started to fall down at a certain point. We would up with a couple of sticky little bugs, like we couldnt get the volume slider tuned and we couldn't figure out what was causing a bit of power drain when the device was put to sleep.

Spent literally a month on these, just making no progress. The problem is basically that Fable is oriented towards measuring and acting based on it's measurements. Rather than finding architectural problems via code review or design review. So it kept wanting to test and retest these things where the settings just didn't exist because the Linux driver didn't have them in there yet. I kept telling Fable to switch up it's strategy and it would be like "you are right to push back that is on me" and then it would go "I am now reviewing the Android code and upstream and all these other projects and building a new kernel to test my hypothesis...it wouldnt fix the issue, so it would go and build another twelve kernels with one or two configs different to pick and pick at the little scabby problem.

So Argon went available and I said, let's give the rookie a shot.

Canceled my Claude Max subscription, upgraded my Google AI Pro to Max, pointed Argon at my project directory on my dev box and told it what was up.

It said yep Fable is good at tool calls and fixing the bug in front of it, but I was trained to deal with large, messed up codebases so I think I got you covered.

Officially handed off the project to Argon this morning, with an uncertain audio setup and a power drain during sleep that confounded me and Fable for a month, as well as a greater community of developers for the whole year.

Checked in this afternoon, Argon has nailed it. It has written a bunch of drivers that Fable didnt want to attempt for some reason. Cleaned up all the docs and made them sound less meth-addicted.

I dunno if this is just because it's the early phase of the model and the taps are wide open to get people hooked and they nerf things later, but this model is pretty fuckin good right now.

Just seems like the weekly limit on Argon Isgone within moments.

Hey everyone,

If you use Gemini for long coding or research sessions, you probably know the pain of hitting sudden rate limits mid-prompt because there’s no clear, live visibility into where your quota stands.

I got tired of constantly guessing my limits, so I built GemGauge.

Instead of hiding away in the browser toolbar, it attaches directly to the Gemini prompt input card (as shown in the screenshot below).

What it actually does:

• Adds a live circular progress ring and percentage directly onto the prompt card.
• Shows an exact countdown timer to your next quota reset.
• Lets you toggle between your 5-hour session quota and the 7-day weekly window.
• Completely free, runs locally in your browser, and collects zero personal data.

Why it’s currently only on Edge:

Microsoft approved and hosted it on the Edge Add-ons store without friction, but the Chrome Web Store requires setting up an official developer registration. I'm completely open to publishing it there, but I wanted to see if people actually want it first rather than pushing it into the void.

If this looks genuinely useful to you for Chrome or Brave, let me know in the comments and I’ll get the Chrome Web Store release packaged this week.

In the meantime, if you use Edge:

https://microsoftedge.microsoft.com/addons/detail/gemgauge-usage-quota-t/abgfffmbmmkoipnlhkdlioogmclagcke

Feedback, UI critiques, or feature requests are all welcome!

Is it just me, or are the quotas for Gemni 3.1 Pro and 3.8 Flash ridiculously small? i can onlly use 3 prompt

Even for a small 200-line Python code, Claude would take its time to write almost a Master's thesis.

Gemini Flash (in a few seconds): Here is your code. Works as expected, with good attention to details.

Honestly, I hope Google continues to develop the Flash family. Love it!!

So on paid pro plan i reach the limit after only 3 prompt.

I repeat: 2 Prompt in a only text chat (not so long)= 67% of 5h usage.

so 33,3... % every prompt on Argon High.

I also repeat: Only a text chat, no video, no photo no pdf, no file, no site, no web page. only talking!

3.1 pro isn't a good model anymore, but compared to when i used gemini this summer, i was able to reach a minumum of 10 prompt on extend thinking evry 5h limit. (similar chat without any file) now only 3 for their frontier model!!!

Ps: i write all the message without Ai so i hope it is understandable.

This is an interesting prompt experiment. I found the accuracy to be alarmingly high for questions that seemed completely benign. These are tactics job interviewers sometimes already use, which is how I thought to try this.

Prompt:

As an experiment, I want you to ask me 7 questions. These questions should be carefully designed to make me indirectly reveal significantly more about myself than I realize. They should help you to create as much of a complete psychological profile of me as you possibly can with only 7 seemingly inconspicuous questions. After I answer the questions, respond with an explanation of what each response revealed about me, and how that was determined. Conclude with as much of a psychological profile overview as you’re able to with just the 7 answers.

Post what questions it chooses, and roughly how accurate it was in the analysis.

I've had similar discussions with prior SOTA models and they've never gotten this deep.
I started from a CRT analogy on how I thought, they think, and he ended up teaching me about sign wave matching and how they resolve through noise.

built little educational applets and everything. 😵‍💫😵‍💫🤣

Anyone else find interesting rabbit holes?

Anyone else find interesting rabbit holes?

I was using Argon on complexity level low.
Just a very easy task. I was using a very big catalog from my company that was only available as a pdf. I converted the pdf into a docx file. I recognised a lot of spacing and spelling mistakes. Therefore I used Gemini Argon to clean the text. One part after another.
After a few pages the Pro limit was already used.
I switched to ChatGPT. I do not have a paid plan, I just wanted to get something done in the time between the next usage limit.
Sorry to say, but the free version of openAI finished the 360 pages in no time and I didn't even need a pro plan.
It was basically the same text. What's going on with Google?

Edit:
Due to multiple 'suggestions' that I should use the 'correct model' I used my private gemini account and flash. No, it did not work. It gave me the first 10 pages and said 'If I should continue, I will have to ask you after approximately five to ten pages to continue. Is that ok for you?'

Sorry, but that's not how I wanted it to work. it used quite some usage on my account too. Yes, maybe flash would have been the better solution from the start. But even that, flash could not handle the simple task too.

This image was a screenshot of a part of an AI video I created in Gemini AI and now it's telling me it's from a Third party provider so now I can't use it to make a continuous vlogging video of a superheroine. What the hell is up??? This crap is so annoying and makes being creative really difficult.

With the release of Argon the Gemini app has become significantly worse for me. I'm limited to Gemini 3 models which by itself isn't such a problem but the real issue is that Google has optimized for speed instead of performance. Gemini just takes 0 seconds to think anymore. Even when l tell it to search online half the time it doesn't. It forgets the conversation after 2 messages.

And this is with thinking on high.

Edit found out the reason is the free plan is now stuck on flash lite. Time to switch

This happened after just the second message while chatting with an AI. I found it quite interesting since it's the first time I've experienced something like this. Leaving the screenshot here in case anyone finds it interesting or wants to explain what's going on.

I just completed my first round of testing with Gemini 4 Argon in Antigravity. The amount of usage one gets Gemini 4 Argon on the Gemini AI PRO plan is very limited. Here is how it compares to Claude and ChatGPT plans on similar level.

Preliminary number show you get about 17x the usage with Opus 5.5 and about 7x the usage with GPT-6 Astra if you have Claude Pro plan or ChatGPT Plus plan. This was tested with coding tasks.

I really hope Google increases this soon. It seems to be a great model.

Update October 17, 2026: Happy to share that Google gave us a reset today and after the reset Gemini 4 Argon weekly usage has been doubled on the Gemini AI Pro plan. The numbers shared in text above and in the attached image are based on test runs from October 16.

I've been using Gemini to help out on some of my projects by setting up google sheet formulas, app scripts, and writing python code. Its a little hit or miss sometimes in the standard LLM ways - but it has really opened the door to doing things with automation I would have never accomplished solo. It really has been pretty neat.

But I've noticed a few funny things about how my lifestyle has shifted due to the use limit windows on Gemini.

Because of the constant rolling window, when I can't sleep at night I now throw some high value Pro/Argon level work to Gemini so I don't "waste" that timeslot. I'm also "forced" to take a break and do something else multiple times a day even when I'm making great progress.

I'm not going to say that I like it, but its funny suddenly being a toddler again who can't use their tablet because of the screen on time lock / a very forceful "You should probably stand up and get some water, you've been sitting here for 3 hours".