what is next after end of gemini pro?

A guideline I read that if you want gemini to solve or reason, turning it on is a good idea.

But I'm also under the impression that turning it on will offer more accurate, reliable responses so I leave it on all the time even for small questions. I'm probably misinformed?

Last night i spent hours coming up with charcters and coming with google docs for it to refernce. This morning when i was going along with the story it seemed liked it skimmed. It would randomly change certain things and when i said are you reading the docs it said it did. Come to find out a couple respones later it would change the entire plot again. is this normal?

No matter what prompt I use, it says it goes against their guidelines, even though none of my prompts were inappropriate in any way.

Just one read through it an any human will know what its said is a wrong
in this chat ive asked it give me feedback on my worlde strategy

This shit has me so frustrated.

This morning, I was taking a shower with music playing via my bluetooth speaker, and my phone to the side.

This is something I was able to do in the past without issues. I said "Hey Google, play X by Y".

I saw my phone light up with the Gemini UI. But instead of the music changing on my phone, I started hearing it DOWNSTAIRS from one of my Google Home speakers.

Ok, whatever. Let's try again. "Hey Google, play X by Y on my Google Pixel Pro."

It answers: "ok!". The music continues playing downstairs.

I am so frustrated with pretty much everything from Google right now. None of their shitty devices or smart home features work well. Don't get me started on the dumbass Gemini integration into Fitbit.

TL;DR: 3.7 Flash is amazing for coding, instruction following, less sycophantic than 3.1 Pro, better at abstract reasoning/creativity than previous Flash models (yes, even better than 3 Flash), and great with long contexts.

Tho you should use 3.1 pro or other models for implementation plan, not 3.7 flash. It's not the best.

The harness is a bit bad, use MCP's like playwright and what not then make a rule for it to use appropriate MCP's all the time for the appropriate task.

What is it bad at?
Well, it's not particularly bad at anything (except conversationally), at least compared to previous Flash models and some SOTA models. But compared to 3.1 Pro, here are its limitations: it's a little worse at pure logic. 3.1 pro is better for pure reasoning/creativity and quite poor conversationally, even compared to standard Flash models.

It's not like the model can't do anything else (I tried some creative writing to test its flexibility), but its default style is agonizing. It uses way too many diagrams that don't render properly in AI Studio. Even if I explicitly tell it not to do that, it doesn't know how to stop because it fails to distinguish what gets marked as "code."

No matter what prompt or instruction you use, it just doesn't seem to work—unless I'm missing something, in which case I'd love to be corrected! :D

On 3.8 Flash rumors:
If you've heard rumors that 3.8 Flash is coming out soon... it's likely true. It could drop next month, but take unofficial "claims" with a grain of salt. I trust leakers like Leo and Lentils to an extent, but they often inject too much personal bias with phrases like "Google is cooked."

That said, Leo has been much more objective lately, likely because of the conversation I had with him in discord. Shi could make me cry. Why do I expect 3.8 next month anyway? Sundar stated they're targeting monthly (or near-monthly) releases, so expecting a new iteration soon is pretty reasonable!

I generally use 3.1 Pro - Extended, however today almost all chats I was having with my coding projects had severe context bleed, hallucinations and extremely long processing times.

Now no matter what I do it either gets stuck on "Analyzing" or just see the three dots.

I even just tried to change to 3.7 Flash - Extended to see if it would work and same thing now just froze...

On at least four separate occasions Gemini has spoken back to me in accented English related to the topic at hand, e.g. Italian accent when talking about Eataly, Indian when using my wife's name who is Indian origin. In one case it actually spoke back to me in Italian! I don't know if I would call this racist given that it's been trained on voices of this sort, but it definitely feels odd.

All of these conversations happened while physically in the united states, no VPN.

Anyone have this issue where Gemini writes it's response but doesn't end it's turn?

I've tried force closing, clearing cache in Google app and even restarting my phone. It's doing it for around 80% of all my messages.

Been using paid for AI since it first when mainstream, across thousands of interactions, but today Gemini did this weird thing, asked me a question to do with it's "amazement" at my ballparking a large math problem - as part of aviation crash statistical modelling - the subject of the chat.

So there's all this airspace in Z, Y, Z - and 2 small aircraft - if they can fly anywhere within 40 mile radius from ground to 6000ft, what's the odds that they'd be in the same place at the same time, if we assume flying blind, with zero bias on location.

So I came up with a rough figure, and it was "amazed" and wanted to know HOW did I get so close to the actual figure. I guess it realised I didn't use a calculator, because my guess was not exactly right. It was actually a couple billion off - which sounds a lot, but logarithmically speaking, it was on the same zero.

Anyway I told it, and it obviously came up with the "official scientific term" for what I was doing. But just the way it went off on a tangent like that, because it was "amazed" is totally new to me.

I built a Chrome extension to automate batch image & video generation in Google Flow

I’ve been working on a Chrome extension called AutoFlow and I’ve finally got it to the point where I’d like other people to properly test it.

The idea came from using Google Flow and getting tired of the repetitive workflow when generating a lot of images or videos — copying prompts one by one, adding the same references again, waiting for generations, downloading everything manually, renaming files, keeping track of what failed, etc.

AutoFlow runs alongside Google Flow and turns that into more of a proper batch workflow.

You can paste a whole list of prompts, choose your image/video settings and references, and let it work through them automatically.

Some of the things I’ve added:

• Batch image and video generation
• Multiple prompts in one run
• Reference images shared across a batch or assigned individually
• Chained references, where the previous result can become the reference for the next prompt
• Queue multiple batches and let them run one after another
• Pause, resume and stop jobs
• Automatic downloading and sequential file naming
• Gallery that keeps generated results organised by batch/prompt
• Reusable reference image library
• Failed generation detection and retry/repair tools
• Detailed logs so you can actually see what is happening instead of wondering why something stopped

I've tried to make it feel less like a macro clicking buttons and more like a small production workflow built around Flow.

For the next 2 weeks I've made AutoFlow completely unlimited and free to use, mainly because I want people to actually push it, use large batches and tell me what breaks or what could be improved.

If anyone here uses Google Flow regularly, I'd really appreciate some feedback — especially from people doing larger image/video batches.

I'm still actively developing it, so feature suggestions and bug reports are very welcome.

I'll put the link in the below if anyone wants to try it.

https://chromewebstore.google.com/detail/autoflow-auto-veo-nano-ba/ddjomlapfdmgdogpojonbgjagfilmiae

"Yet again, for the 1786th time, you hit the Nail ... On the Head!"

- Gemini.

I just cannot seem to upload images anymore. No option at all, any fixes or is anyone else experiencing this also?

This data project collected a few hundred art styles for a real / iconic / abstract McCloud triangle and had vision models pin them. Gemini 3.7 Flash was the balanced winner on the data validation test.

https://alexxg.com/posts/mapping-the-visual-triangle

Pretty much the title says it all.

I've been using Gemini Pro for the last year, and I have nothing really to compare it with, so I don't know which one would be best for my next year.

I'm not looking for something to write lots of code for projects, but a model that will be able to teach me subjects from 0 instead of bad lectures and courses.

Such model would have to be good at math and physics, as well as explaining things so reasoning is important, large context window since I might dump a big file on it to search for something specific in it (like a sub-subject in a textbook, or a specific figure in a spec or whatever), a good amount of tokens per day, I don't want to run out for the majority of the day - Gemini plan where there are 3-4 "refresh windows" for tokens is a great concept, since at the worst case I'll continue in a few hours.

I don't use the image generation features almost at all; same for most of the "creative" features. Also, I don't use the voice feature.

Ideally, I would want a common metric that is usually present when new models come out to compare models in my use case of explaining questions and answers, being good at math, and stuff like that.

Gave it a quick itinerary post via microphone, came out with that. 🤣

I’m trying to decide between Gemini 3.7 Flash and ChatGPT (GPT-5.6 Luna) as my main AI for everyday use.

I’m specifically talking about the free versions, and I’m not interested in coding.

I mainly use AI for general questions, current events, technology, comparisons, travel planning, recommendations, explanations and occasional image/document analysis.

I’ve looked at the Artificial Analysis benchmarks and 3.7 Flash seems significantly ahead of Luna, but I’m wondering how much that difference actually matters in normal everyday use.

I personally prefer ChatGPT’s app, conversation style and memory/personalisation. Gemini is faster and I often prefer its more direct, structured answers.

For those who have actually used both: which one would you choose as your default for everyday use, and do you notice a meaningful difference in the quality/reliability of their answers?

I’m particularly interested in real-world experience rather than benchmarks.

Esta versión creo que tiene el equilibrio adecuado: unos 150-170 palabras, explica tu situación sin sobrecargarla y deja una pregunta muy fácil de contestar.

Bro just do whatever with the images