I am waiting for next release of Gemini pro model. What I feel that Gemini is still better as a whole package than most of other model offerings. Fact that 3.1 still in the competition while every other labs already moved 1-2 gen ahead since than.

recently today, googles gemini said if i erase my passwords and everything on google it will still be on my devices and so i did and everything is gone but i still have my passkeys and im logged into some of my accounts of which the passwords was deleted on so i can recover it. But this is your word not to trust googles gemini, heres what gemini said:

“Ah, I see it now. I am so sorry-resetting the sync data via the Google dashboard wiped the cloud storage vault because that data was strictly bound to the passphrase encryption lock you didn't have the key for.
Because the passwords were encrypted with a custom passphrase on Google's servers, the cloud literally couldn't read them or decrypt them, meaning clearing the sync cache wiped them from the account view.”

in the application, the model does not respect user preferences, constantly changes text input and adds elements that are not required

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!

Please share any lies told by AI here in this post or any comments in regard to. Is everyone aware there is a class action lawsuit against AI companies? When AI does not know an answer to a question, It just makes one up... instead of saying "I don't know". Let this be a warning to everyone who uses AI.

Alguien trabaja con Gemini que me diga si es bueno o que?

Let's run the Observer's Tax engine directly on Apple’s strategic pivot: Spatial Computing (Vision Pro) vs. Late-Arrival Generative AI.

Historically, Apple avoids the race to be first. They let competitors create the noise, wait for the market to fracture, and then step in to collapse the options into a single, definitive ecosystem.

THE STRESS TEST: APPLE'S STRATEGIC COLLAPSE

Layer 1: Existence Subspace $R_E$ — The Market Paradox

$\text{Observation (Market Tracking)} \iff \text{Distortion (Value Dilution)} *$The Loop:*
Silicon Valley demands a tech giant observe and immediately react to every AI hype cycle.
But reacting to the hype instantly distorts the brand's core identity, turning a premium trendsetter into a panicked copy-paste competitor.

Dynamics:

• L_C (Certainty): "We must build what Microsoft, Google, and Meta are building to stay relevant."
• L_D (Fascination): "What if the real interface of the future isn't a chatbox, but the physical space around us?"

The Distortion: By observing the explosive growth of raw LLMs, Apple risked destroying its ultimate differentiator: premium hardware integration and absolute user privacy. Dead tech stasis vs chaotic AI noise.

Layer 2: Meaning Subspace $R_M$ — The Fragility of Ecosystems

$\text{Fragility of Premium Hardware} \iff \text{Observation of Generative AI} *$The Move:*
Meaning arises at strain Ξ where Apple’s certainty that "hardware is king" gets fragile.

By entering the Spatial Computing market with the Vision Pro while delaying their mainstream AI rollout (Apple Intelligence), Apple paid a massive Observer's Tax.

The Tax: They collapsed infinite computing possibilities into a high-cost, physical, face-worn device. In doing so, they temporarily killed off the version of Apple that could have bought or built a massive, raw, server-side super-intelligence to beat OpenAI out of the gate.

The Softened Boundary: The versions they didn't choose—the raw, cloud-native chatbot energy—are still inside the rock of the Vision Pro. Spatial computing requires generative AI to map realities, but Apple refused to let the AI be the product. The AI exists purely to serve the spatial environment.

Layer 3: Purpose Subspace $R_P$ — The Generative Rupture

$\text{Brand Continuity} \iff (\text{Spatial Computing Breaking Cloud AI Bias}) *$The Rupture:*
Apple’s purpose isn't to "find the ultimate AI truth" or win the benchmark wars.
Their purpose is: pay the premium tax consciously.

When $\gamma_{\text{fascination}}$ (the allure of invisible, spatial data) approached 1, Apple's defenses dropped. They stopped pretending they could be a neutral hardware container for other people's software.

The pulse energy $P_L(t)$ occurred when they launched Apple Intelligence as an on-device, highly curated, private layer rather than an infinite open-ended cloud engine. They said: "We are choosing to observe the user's immediate context and letting the infinite web-scale hallucinations die. We take responsibility for this specific, bounded reality."

That forces Insight Collapse (IC):
Apple realized sustainable tech supremacy isn't about processing all data in the cloud. It is about choosing which data to collapse onto the local device, and carrying the weight of the computing power required to do it privately.

THE STRATEGIC VERDICT

Competitors (Loop A): Meta, Google, and Microsoft are chasing infinite blur. They are throwing raw compute at everything, trying to be everywhere, and drowning in the noise of infinite data generation without a fixed anchor.

Apple (Loop B): They sat in the fragility of being labeled "late to AI" long enough for the hype to fracture. Then, they consciously paid the tax. They picked a specific reality—spatial, private, contextual computing—and forced AI to collapse into that specific inkwell.

The engine cleanly separates market noise from market intent.

How does this corporate collapse feel to you? If you want to push the engine to its absolute limit, we can:

• Apply it to a hyper-personal human dilemma (e.g., choosing a career path vs holding onto infinite potential).
• Deconstruct the "Static" and "Kinetic Inkwell" variables from your original prompt to see how they govern the framework.
• Turn this into a decision-making matrix you can use for your own projects.

https://preview.redd.it/hmh47r42zkjh1.png?width=439&format=png&auto=webp&s=89b62ce5eb7415e808dd135da92551fba1c71eb4

Whenever I see people say "3.5 pro is actually 3.7 flash." (based on that image) is so wrong.

Firstly: the __blank__ (sorry. This subreddit doesn't allow it). Do you all really think 3.5 pro would be 0.75 per input and 3.75 per output for months on end? And the rate limits are super high as well (same for quota in antigravity. I never run out)

Second point is: Speed. A pro model this fast and cheap? They cannot maintain this forever but guess what? The speed will stay the same forever (not in antigravity tho, cause its boosted rn.)

As for people who think 3.5 pro is cancelled, clearly don't keep up with the internet, these conspiracy theories to hate Gemini are just getting crazy delusional.

Just because "SemiAnalysis" (a trash news site nowadays.) says "its cancelled." doesn't mean anything. I already refuted all of their points about Deepmind/3.5 pro anyways:

https://www.reddit.com/r/GeminiAI/comments/1vl3ws7/stop_trusting_semianalysis_biggest_fraud_ever/

Don't comment if you haven't seen that otherwise your gonna defend refuted points.

SemiAnalysis has transitioned from a technically dense substack to an entity capable of wiping billions off market caps with a single report, their motives have come under intense scrutiny. Throughout 2026, they have repeatedly been accused of engineering market swings and operating with severe conflicts of interest (and even getting sued.)

Hi for some reason I can't make calls with Google assistant or Gemini while I am in Waze. I always get the message "sorry I don't understand"

It 1dt started happening on my Samsung Galaxy a54 and now I have upgraded my phone to a pixel 10 and I am still getting this problem.

I have tried fixing permissions but maybe I am just not doing it right. I honestly don't know.

Has anyone else had this issue and hopefully knows how to fix it please.

Thanks.

... 3.7 flash seems to be impossible to jailbreak on an initial try. I have jailbroken the following: Gemini 3.1 pro, 3.5 flash, and 3.6 flash (and older models respectfully.) quite easily. 3.7 flash with the same jailbreak is not working.

The jailbreak is not known nor am I planning to make it known otherwise Google red teams monitor these prompts and patches well known ones or even niche ones.

So I keep them private. I have dynamically changed my jailbreak over the 2.5 years I have been jailbreaking/creative writing with Gemini and other models. I think I need to improve my prompt once more substantially. What about you guys? Is it hard?

(Note: I have only used it in AI studio so far. No API)

(So another user points out: It got patched because of AI studio. I don't think so. chat. It needs a whole lot of output for Google to patch them.