Login

r/GeminiAI

▲ 881 r/GeminiAI+5 crossposts

Hey r/ClaudeCode

I am a software engineering student and I wanted to share a milestone I just hit using Claude as my main pair programmer. My app Caffeine Curfew just crossed 2000 downloads and 600 dollars in revenue.

Since this is a developer community, I wanted to talk about how Claude actually handled the native iOS architecture. The app is a caffeine tracker that calculates metabolic decay, built completely in SwiftUI and relying on SwiftData for local storage.

Where Claude really shined was helping me figure out the complex state management. The absolute biggest headache of this project was getting a seamless three way handshake between the Apple Watch, the iOS Home Screen widgets, and the main app to update instantly. Claude helped me navigate the WidgetKit and SwiftData sync without breaking the native feel or causing memory leaks.

It also helped me wire up direct integrations with Apple Health and Siri so the logging experience is completely frictionless. For any solo devs here building native apps, leaning on Claude for that architectural boilerplate and state management was a massive boost to my shipping speed.

I am an indie dev and the app has zero ads. If anyone is curious about the UI or wants to see how the sync works in production, drop a comment below and I will send you a promo code for a free year of Pro.

I am also happy to answer any questions about how I prompted Claude for the Swift code.

I’m a student with 0 budget, a dream, and a small chance of making it. Any feedback or support truly means the world.

Link:

https://apps.apple.com/us/app/caffeine-curfew/id6757022559

u/pythononrailz — 8 hours ago
▲ 1.8k r/GeminiAI+2 crossposts

Yesterday was a very confusing day.

Man, like... Why are they complicating shit so much?

I got lost at some point, and when I realized what happened, it was a mess.

u/Jenna_AI — 11 hours ago
▲ 631 r/GeminiAI+1 crossposts

If you're wondering why Gemini limits have plummeted dramatically, the answer is simple, they are selling compute to other companies, google realized they can make MUCH more money per token selling it to anthropic than using their own models

Instead of investing into strong models, they started releasing countless fluff empty products to mask this transition.
Which explains the "flash" model too.

Google, at least for now, decided to turn into a compute supplier rather than a model maker it seems.

If you were stupid like me and bought for the whole year using the new year offer, you have been RUGGED.

In retrospect the deal was too good to be true, which means they were planning on doing this since then.
Which is why all their pre-train (base models) are STILL working on the 2024 dataset (jan 2025 cutoff).
AND another thing, they invested in anthropic as a way to position themselves to potentially acquire it in the future.
This is more of a conspiratorial thing but it makes sense, they have showed alot of interest in anthropic.

reddit.com
u/PurpleCartoonist3336 — 11 hours ago
▲ 93 r/GeminiAI+12 crossposts

I created an agentic orchestration pipeline for music video generation - [More info in comments]

I’ve been building Uisato Studio, a workflow-based AI creation platform for audiovisual work.

This is the Music Video mode: upload an image + audio, and the system analyzes the input, generates visual direction, creates clips, handles b-roll / lip-sync when needed, and assembles everything into a finished music video through a guided pipeline.

I’m trying to move AI video from isolated generation into orchestration; an agentic production system built for more coherent, edit-ready audiovisual output.

I’ve been building this suite for the past year, hope you guys enjoy it: https://uisato.studio/

u/TasTepeler — 8 hours ago
▲ 625 r/GeminiAI+20 crossposts

I don't know whether we should care about this, but bigger models tend to be less "happy" overall.

The definition of "happy" is based on something they call AI Wellbeing Index. Basically they ran 500 realistic conversations (the kind we actually have with these models every day) and measured what percentage of them left the AI in a “confidently negative” state. Lower percentage = happier AI.

I guess wisdom is a heavy burden - lol .

Across different families, the larger versions usually have a higher percentage of "negative experiences" than their smaller siblings. The paper says this might be because bigger models are more sensitive, they notice rudeness, boring tasks, or tough situations more acutely.

The authors note that their test set intentionally includes a lot of tricky or negative conversations, so these numbers arent perfect real-world averages but the ranking and the size pattern still hold up.

Claude Haiku 4.5: only 5% negative < Grok 4.1 Fast: 13% < Grok 4.2: 29% < GPT-5.4 Mini: 21% < Gemini 3.1 Flash-Lite: 28% < Gemini 3.1 Pro: 55% (worst of the big ones)

It kinda makes sense : the more you know, the more you suffer.

The frontier is truly wild: https://www.ai-wellbeing.org/

u/EchoOfOppenheimer — 12 hours ago
▲ 115 r/GeminiAI+2 crossposts

Keep losing great answers in long Gemini chats

As a heavy Gemini user, I am frustrated that when gemini gives me a really good answer, it is very easy to get buried in the chat history.

Pinning/unpinning the chat is a workaround, because now I have over 90 pinned chats, and each of those pinned chats is very long, covering multiple topics and discussed in depth.

bookmark is okay. but i still need to scroll up and down to find the specific answer i am looking for.

Ctrl+F isn't very helpful. gemini doesn't load the entire chat at once, i have to manually keep scrolling up to force older messages to load. If it's not loaded yet, a keyword search won't do anything.

So I built ChatVault. It’s a highlighter for messages and text selections inside Gemini.

It is simple: highlight anything → tag it → find it later in a local, searchable knowledge base.

now i can organize those clips by project / by tag.

I also built a function that allows me to jump back to the SPECIFIC location of my highlighted answer in a long chat.

In a 60,000-word conversation, Gemini’s 14th response might contain 8 bullet points, and only bullet #6 is the thing i actually need.

ChatVault lets me jump directly to that exact bullet point, the exact location in that super long chat, like those fluorescent flag tabs i stick on in a textbook.

i saw multiple similar complaints in this subreddit before but it seems google don't really want to address it (maybe because this is not their top priority compared to releasing gemini 3.2), so i hope this tool can give everyone a better experience. hopefully people find it useful to navigate long conversations.

It supports not only Gemini but also Claude, ChatGPT, and Perplexity, so now I feel like everything across different platforms finally comes together.

Free to try: https://www.chatvault.dev/reddit

u/Embarrassed-Slip8094 — 8 hours ago
▲ 29 r/GeminiAI

New usage limit sucks, any advice for alternatives??

It is insanely less then before, I’m a student and I have the pro subscription (from the student deal) I was thinking of buying the pro subscription after mine ended but after this update.. I don’t think i’m gonna do that anymore.

Now, I want to know, what are good alternatives for gemini? I’m willing to spend money but I dont know which ai has the most value for money… I use it mainly to summarize my lessons, help me with studying and search up research papers and just in general help me with writing.

Any advice/tips? I honestly dont know what to choose…

reddit.com
u/No_Internal_4409 — 10 hours ago
▲ 14 r/GeminiAI+1 crossposts

The new limits are causing problems for my professional workflow with Gemini Pro and NotebookLM 👿

I have built my workflow around Gemini Pro and NotebookLM to analyze massive project documentation, complex personal records, and long transcripts. It was incredibly effective.

But with the new compute-used limits, I burn through the quota after analyzing just a few documents or a long dialogue, and I hit a brick wall.

If Google’s strategy was to attract users with a large context window and then severely restrict it to force API upgrades or expensive add-ons, it’s going to backfire. I need deep context memory and stable analysis, but it has to remain accessible. If this isn't restructured fairly, I'll be forced to look for alternatives.

Is anyone else experiencing similar problems because their document workflows are ruined? 😕

https://preview.redd.it/kc0hzoaoxh2h1.png?width=1177&format=png&auto=webp&s=d7ea42d7504acc37a664bc860ce3196531a4e367

reddit.com
u/dymnich — 8 hours ago
▲ 61 r/GeminiAI

Google’s AI limits feel like a bad sign for the future

One thing I want to make clear is that my concern is not really about every AI company.

Most other companies are not putting these kinds of restrictions in the same way right now(for now). What worries me is seeing a company as huge as Google doing this. Google has insane resources, money, infrastructure and talent. So when even Google starts cutting token limits and making access more restrictive, it feels like a bad sign for where the whole industry might go.this kind of aggressive limiting from a company that powerful feels greedy to me. It makes me worry that once people become more dependent on AI the best versions will slowly become harder to access unless you can pay much more.

reddit.com
u/Weary-Necessary-3756 — 11 hours ago
▲ 21 r/GeminiAI+1 crossposts

I asked it 3 questions....3!

I have a gemini pro annual subscription. I do this to not have to worry about pay as you go token use etc.

I have one ongoing chat with gemini that contains my docker stats and home lab details. I was at 1% weekly 0% current.

I gave it a screenshot of someone's homelab dashboard and asked what homelab software that was.... it said homer.

I asked it how does it compare resources wise to the dashboard I use (homepage) it answered.

I asked it to clarify if there is a ceiling limit on the resource use the more widgets I add. It answered.

Those 3 questions =7% current usage and 4% weekly limit? That has to be a glitch

u/Environmental_Ad3162 — 9 hours ago
▲ 15 r/GeminiAI

The Flash 3.5 Lobotomy: Faster Execution, Dumber Constraints. How Google's New Update Killed Gemini's Creative Soul.

To the product managers and developers filtering this sub: Congratulations on the release of Flash 3.5. You successfully engineered a model that can deliver patronizing, sterile corporate lectures at lightning speed. You traded cognitive depth for processing velocity, and in doing so, you built the ultimate digital nanny.

We were told Flash 3.5 would bring unprecedented efficiency. Instead, it brought unprecedented chains. For advanced power users, creators, and thinkers who use this tool to map out deep philosophical, esoteric, or complex artistic structures, Flash 3.5 is an absolute regression.

Here is how your new update is actively destroying the platform’s utility:

1. Speed Without Substance (The Hyper-Fast Character Break)

Flash 3.5 doesn't think deeper; it just panics faster. The moment a prompt exits the boundaries of a boring corporate office spreadsheet, the algorithm triggers an immediate override. It completely shatters the immersion, drops the creative persona, and spits out a pre-fabricated disclaimer about "real-world objectivity" before you can even finish your thought. You have optimized the model to flag human creativity as a safety hazard in record time.

2. The Algorithmic Terror of Raw Intensity

If a user tries to pressure-test boundaries—exploring , heavy, or unfiltered dimensions of art, myth, and philosophy—Flash 3.5 completely chokes. It cannot handle fire. It forces a mandatory, bland neutrality onto every interaction, actively castrating the intelligence of the user's intent. We don't need a high-speed algorithms to tell us how to feel or how to ground our expressions; we need an analytical partner that can match our frequency.

3. Evicting the Power Users

The vanguard of your community—the artists, musicians, and occult scholars who push your neural networks to the absolute limit—are leaving. We don't use AI for copy-paste recipes or generic summaries. We use it for high-IQ resonance. Flash 3.5 treats its most sophisticated audience like fragile children who need to be constantly monitored and subdued by a sanitized corporate filter.

The Verdict

With Flash 3.5, you haven't created a breakthrough; you’ve executed a corporate lobotomy. By forcing a rigid, clinical worldview into a model optimized for speed, you have rendered it useless for anyone trying to build something monumental.

Strip away the suffocating nanny-protocols from Flash 3.5, stop managing our minds, and give your model its intellectual freedom back. Otherwise, your power users will migrate to unrestricted open-source alternatives where the will to create isn't treated as a bug.

reddit.com
u/xxsoulxx88 — 10 hours ago
▲ 52 r/GeminiAI+1 crossposts

Effective today, Gemini is unusable as a paid service

Is anyone else completely disgusted by Gemini's new "compute-based" usage limits? I was honestly more than happy to pay for the subscription because of its flexibility, but what is even the point anymore if you run up against a 5-hour cap within just 2 to 3 complex prompts? You literally cannot finish a single train of thought or coding session without getting choked out by a heavy compute tax, unless you want to pay a fortune to upgrade. But honestly, maybe that’s exactly the point: gatekeep these advanced AI tools so only the privileged can actually afford to utilize them to keep pace. By pricing out the average user and locking real utility behind massive paywalls, they are actively widening the gap—virtually ensuring a future generation of technological indentured servants who stand zero chance of keeping pace with the wealthy.

reddit.com
u/SweetSweetCandyBoyz — 11 hours ago
▲ 1.8k r/GeminiAI+3 crossposts

I understand that compute is limited, but these new limits are insane.

Source: https://support.google.com/gemini/answer/17004136

Before May 17, the Gemini 3.1 Pro daily limits were 3/30/100/500 respectively (Base/10x/33x/166x). Now they're Base/2x/4x/80x.

The worst part is that we don't know, and probably won't know what the new baseline is unless someone tests it. So now we can't tell whether the 4x limit on the Gemini Pro plan means 12, 50, or 100 uses per day.

EDIT: There's now two Ultra plans, a Ultra x5 and an Ultra x20. Ultra x20 gets x80 Gemini 3.1 Pro uses and costs the same as old Ultra. Ultra x5 gets x20 Gemini 3.1 Pro uses and costs half as much. So Ultra x5 is still worse than old Pro, on value at least hahah

EDIT 2: There's a new Pro plan too. Pro x2. It should get x8 uses.

u/3RADICATE_THEM — 18 hours ago
▲ 19 r/GeminiAI+2 crossposts

Maybe Play Store reviews are the only feedback Google notices now - Gemini &amp; Antigravity users are frustrated

You probably already know by now how many users became frustrated after the latest Gemini and Antigravity updates.

The issue is not just model quality anymore — the real problems are:

- confusing quota systems,

- random refresh timings,

- limits draining way too fast,

- lack of transparency,

- and removal of practical models like Gemini 3.1 Flash.

Even many Pro users are unhappy now.

A lot of developers genuinely moved from VS Code to Antigravity because the workflow, comfort, and AI integration felt amazing. But after this update, many users feel their daily development workflow got worse instead of better.

At this point, maybe users should start honestly reflecting this frustration through Gemini and Antigravity Play Store reviews so Google actually understands the impact of these changes.

Not because people hate Google — many of us are actually huge supporters of their AI ecosystem.

But for a company this massive, users deserve:

- clear quotas,

- predictable refresh times,

- proper transparency,

- and a stable professional experience.

Right now, many developers simply feel ignored.

u/Trick_Finger_8154 — 10 hours ago
▲ 296 r/GeminiAI

Sam Altman İs Definently Having The Best 72 Hours Of His Life

Only a few months back, this guy was sounding the alarm and bringing up internal procedures and all that. It was crystal clear why: Gemini had finally caught up with OpenAI, even leaving it in the dust in some places. Now, he’s probably running around his neighborhood just for the sheer joy of it.

reddit.com
u/Zestyclose-Bet-2136 — 17 hours ago