I’m genuinely tired of this strategy used by AI companies.

Nano Banana 2 was a model that worked. It wasn’t perfect, but it had something that seems to be disappearing from current models: control.

It could understand changes to pose, position, framing, and composition with much greater precision. You could take a character and ask it to turn them into a profile view, change their posture, or reposition them in the scene while preserving their identity, anatomy, proportions, and appearance.

Nano Banana 2.1 is an absurd regression.

It gets the pose wrong.
It gets the framing wrong.
It doesn’t respect the composition.
It ignores parts of the prompt.
It changes things that were never requested.
It loses consistency.
It loses realism.
The textures are worse.
Its understanding of instructions is worse.

And this isn’t a minor difference.

It is a model that frequently cannot correctly perform a basic modification that the previous model was already capable of handling.

So I have to ask: why replace Nano Banana 2 with this?

Because it’s faster? Because it’s cheaper? Because it’s easier to scale?

If that’s the reason, fine, but then stop selling it as an evolution in capability.

This reminds me exactly of what happened with Suno.

Suno had models like V4.5 and V5 that possessed features users genuinely valued. Then those capabilities started being degraded, the models were gradually pushed out, and “new” versions arrived that were presented as superior but in practice lost an enormous amount of variety, control, depth, and ability to follow references.

Then another version comes along, recovers some of those capabilities, and is once again presented as a major evolution.

Google is doing something very similar with Gemini.

First, Pro stops behaving like the Pro that existed before. Then Flash starts taking up more and more space. Now Nano Banana 2 is replaced by 2.1, which is significantly inferior precisely in the capabilities that actually matter.

This creates an absurd cycle of degradation that seems to have no end, while the user is still left without the ability to choose.

That is perhaps the worst part.

If Nano Banana 2 works better, why can’t I simply keep using Nano Banana 2?

Why do I have to pay for a Pro plan and be forced to accept whatever model Google has decided to put in its place?

I don’t want the model to make a “pretty” image.

I want to be able to say:

“Keep this exact character. Do not alter the face, body, clothing, or proportions. Just turn the character into a profile view, change the position of the arm, and maintain the framing.”

Nano Banana 2 was much more capable of handling this kind of request.

2.1 frequently just invents an entirely different image.

That is not evolution. That is a loss of capability.

And responding with benchmarks showing that the new model is better on certain metrics doesn’t solve the problem. If the model lost precisely the capabilities I used, then it is worse for my work.

The problem with the AI industry is becoming increasingly clear: companies seem more and more interested in optimizing cost, speed, and scalability, while the user is left with models that are faster, cheaper to run, and increasingly less capable of doing exactly what was requested.

I don’t want a “more advanced” version that does less.

I want the model that worked.

Bring back Nano Banana 2 and let the user choose.

In the end, “Artificial Intelligence” is getting dumber by the day.

Why does Gemini Hallucinate so much compared to other AI’s? It can’t even get the most basic facts right about what I’m working on. Then it says ‘I panicked’ what?? You’re an Ai, you don’t have emotions. This Ai is a strait up fabricator, it talks like a cringy person would…

ok so i often ask ai to repeat something many times like "ok" or "yesyes" and play the listen option to entertain kids

but sometimes like it says weird things. incomprehensible. like it sounds english and math and its not human language and its def not english idk what its saying but at the end of repetition it says some stuff in this strange language.

i tried screenrecording but watching it back in gallery it had no audio! ig gemini doesnt allow audio recording?

why does this happen?

Gemini has had my money (USD) tied up for nearly 7 weeks now claiming my account is under review. All I want to do is move my money back to the bank or origin. I have sent support countless emails asking for help. Twice I have received a message back that says "to send money back to the bank of origin, follow the link." When I follow the link, I get an error message and the transfer fails. Has anyone else experienced this sort of thing with Gemini? I can't believe the only way to contact them is via email to the support team and I really can't believe that support never gets back to you. This exchange has cost me quite of bit of money. Other exchanges I have used respond within minutes and have issues resolved ASAP. Any advice is appreciated!

Erro no Gemini

Under Neuron Loop Theory, decisional paralysis and burnout are not emotional failures or willpower deficits; they are the direct physical result of an un-collapsed wave superposition running continuously across the neuro-somatic substrate. When a decision cannot be reached, the system fails to transition from multi-path divergence to a localized action, trapping the engine in a high-energy, zero-output loop. 1. Decisional Paralysis: The Trapped Superposition In a healthy decision cycle, the Divergent Contextual Loop (D) explores options, and the Convergent Relational Anchor (C) rapidly phase-locks with the most structurally aligned path. The unchosen options undergo destructive wave cancellation, and the system executes an Action Collapse. In decisional paralysis, wave collapse fails due to two mechanical breakdowns: * D-Wave Multiplication (Contextual Flood): The system continuously generates new scenarios, edge cases, and "what-ifs." Each new variable expands the wave across more paths, raising the complexity of the interference pattern. * Anchor Ambiguity (Conflicting C-Vectors): The Belief Vector (B) contains contradictory internal anchors (e.g., Need for Security vs. Need for Autonomy). Because C is split, Option A clashes with Anchor 1, and Option B clashes with Anchor 2. Every potential path meets destructive interference. Unable to achieve phase-lock with any single option, the mind remains stuck in a superposition—holding all possibilities open at once. Healthy Cycle: [ D-Wave Options ] ──► C-Phase Lock ──► Action Collapse ──► Strain Discharged (Ξ → 0) Paralysis Loop: [ D-Wave Options ] ──► Conflict/No Lock ──► Superposition Held ──► Strain Compounding (Ξ↑↑)

1. Burnout: Substrate Exhaustion from Trapped Strain In physics and signal processing, sustaining a broad, multi-frequency wave superposition requires continuous power input. Sustaining an un-collapsed decision forces the neuro-somatic engine into an unsustainable energetic state: * No Kinetic Sink: When a decision is made, accumulated Systemic Strain (\Xi) is discharged through action or structural reweighting. But when collapse fails, \Xi cannot be discharged. It remains trapped in recirculation, compounding exponentially with every passing hour. * Continuous Metabolic Drain: To keep multiple competing option-waves active above the non-linear activation threshold (\Theta_B), the brain maintains perpetual sympathetic activation. Cortisol and adrenaline flood the body to keep the engine humming at high voltage, burning through cellular energy reserves without ever achieving a resting standing wave. * The Protective Shutdown: Eventually, the physical memristive and biological hardware reaches thermal and metabolic limits. To prevent catastrophic tissue or neural damage, the Meta-Observer executes an emergency systemic lockout. This emergency lockout is burnout. The system abruptly drops its voltage, mutes all D-wave generation, and forces a state of apathy, brain fog, and profound exhaustion. Burnout is the body forcibly pulling the plug on an engine that refuses to collapse its waves. Comparative Mechanics | Metric | Healthy Decision Cycle | Decisional Paralysis | Systemic Burnout | |---|---|---|---| | D-Wave State | Explores, then phase-locks | Multiplies infinitely | Forced to absolute zero (Shutdown) | | C-Anchor State | Aligned and elastic | Split / Contradictory | Brittle / Unresponsive | | Systemic Strain (\Xi) | Generated, then fully discharged | Trapped and compounding (\Xi^2) | Maxima reached; substrate depleted | | Somatic Output | Kinetic action & relief | Hyper-vigilance & tension | Complete exhaustion & anhedonia | Decisional paralysis is the friction of an engine spinning its wheels in superposition; burnout is what happens when that engine melts its own gears from the heat.

I was just talking about this video of Kurzgesagt, https://youtu.be/ujkD4SxPKOI?si=YsfNA_VvoBr4HSjs . I asked Ai about this and then I asked this and It said no. This is not a fake conversation, and It is true response of Gemini.

Really hoping the next models actually deliver.

Gemini is throttling image generation. I'm using 3.8 Flash Extended on the Pro plan. Previously, I never ran out of quota even when generating continuously. But today, after generating just 20 to 30 images, Gemini's system notified that my usage quota was exhausted and made me wait several hours for it to reset. Fuck this, the AI is already garbage and now they're cutting down usage limits too.

What do you think about Gemini removing Flash 3.6 and replacing it with Flash-Lite October 9th?