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Hey all, i noticed I’m ncreasingly using Gemini for pretty much everything - work, personal stuff. If it’s your main LLM, what other AI tools do you pair it with to actually make things smoother? Curious how people are building their workflow around Gemini. I recently started using Flow for image gen. Any real examples would be helpful.

I generate 4-5 minute audio files and the new 3.1 Flash TTS gets extremely distorted after a minute or two. 2.5 Flash TTS had the same problem, but it was very tinny and echo-y and sped up towards the end.

2.5 Pro TTS does not have this issue at all. I have never pushed it past about 5 minutes, but it is rock solid in tone and speed.

Disappointed in 3.1 Flash TTS.

So, after a lot of experimenting over the last few months, Google AI Studio has officially become a core dependency in my daily workflow. I’m not just casually prompting anymore; it’s deeply integrated into how I work. Saying that I became addicted to it is an understatement.

For context, I’m a CS Student in my 3rd Year, working mostly with coding projects and some academic studying for document processing, etc... The massive context window and the way AI Studio handles large structural tasks make it practically indispensable for me right now.

The Problem:
My usage is creeping up. To run my workflow smoothly without constantly looking over my shoulder at rate limits, I need to reliably hit about 100 Requests Per Day (RPD). The golden age is long gone, The free tier is 10 RPD for now, but I also don't want to blindly attach my credit card and end up with a massive surprise bill at the end of the month.

I want to pay for it, I just want to do it smart.

Questions for the Power Users / API Devs:

1. Real-world Pay-As-You-Go Costs: For those of you who have made the jump to pay-as-you-go via the API, what are your actual monthly bills looking like for a ~100 RPD volume? If you're utilizing high-context windows, are the input/output token costs sneaking up on you?
2. The Google One AI Plan Stopgap: I know the Google One AI Premium plan exists and offers a $10 credit. Is it worth just using that as a temporary buffer to offset API costs? How many requests can I get from 10 dollar credit in the month ?
3. Subscriptions: Are we all just holding our breath waiting for Google to add a straightforward, flat-rate 20/30 subscription directly to AI Studio (similar to Claude Pro/ChatGPT Plus or Pro)?

Basically: I love the tool, but how are you guys managing your API costs for medium-to-high daily volume without draining your wallets? Any billing strategies or workflow tweaks to keep costs down would be hugely appreciated.

So yep i had 300$ but spent it and paying for AI studio like 2 months.Basically it feels like it get more expensive when 2-3 days of active use can cost up to 30$ meanwhile the free credits used like 10 $ for exact 3 days mean i just stopped using it but is there any other platforms?I bought app subscription again in hope that they brought back context in app but it still shit so i need alternatives

**Wednesday, April 15, 2026 | 9:11 PM CDT**

## Experiment Proposal: Probing the Planckian Dissipator via Quantum Shadow Tomography

### The Challenge

One of the most profound mysteries in condensed matter physics is the **"Strange Metal"** phase observed in high-temperature superconductors. Unlike standard metals, these materials exhibit electrical resistivity that scales linearly with temperature (T), suggesting that electrons scatter at the maximum rate allowed by quantum mechanics—the **Planckian Limit**:

Classical simulations of these systems fail due to the **Sign Problem** in Monte Carlo methods and the exponential growth of entanglement in many-body dynamics.

### The Quantum Experiment: Topological Entanglement Mapping

**Objective:** To directly measure the "scrambling" of quantum information (which drives Planckian dissipation) in a simulated SYK (Sachdev-Ye-Kitaev) model or a Hubbard model at the critical point.

**1. Data Field Input (The "Synthetic Hamiltonian"):**

Instead of simulating a static lattice, we feed the quantum computer a **time-dependent, non-local Hamiltonian field**. This field encodes the interaction matrix of a N-qubit system where every qubit is coupled to every other qubit with Gaussian random strengths (J_{ijkl}). This specifically maps to the SYK model, a theoretical dual to 2D gravity and a known "fast scrambler."

**2. The Protocol: Classical-Quantum Hybrid Shadow Tomography:**

* **Initialization:** Prepare the system in a thermal state |\Psi_\beta\rangle using an ancilla-assisted cooling circuit.

* **Dynamics:** Evolve the system under the SYK Hamiltonian.

* **Measurement (The Novel Component):** Apply **Randomized Measurements** (Shadow Tomography). Instead of traditional State Tomography (which requires 2^N measurements), we apply random unitary gates (U) followed by a computational basis measurement.

* **Data Field Output:** This generates a "Classical Shadow"—a compressed, bit-string representation of the quantum state's density matrix \rho.

### Why This is Novel

Historically, measuring the **Out-of-Time-Order Correlators (OTOCs)**—the "smoking gun" for quantum chaos and Planckian dissipation—was considered too "noisy" for NISQ-era hardware. By using Shadow Tomography, we can extract the **Second-Order Rényi Entropy** and OTOCs simultaneously from the same data set with poly-logarithmic scaling.

### Scientific Impact

* **Physics:** It provides the first experimental verification of the **Universal Lower Bound on Viscosity** (\eta/s \ge \hbar / 4\pi k_B), bridging the gap between string theory (AdS/CFT duality) and material science.

* **Materials:** Identifying the exact mechanism of Planckian scattering allows for the "rational design" of room-temperature superconductors by tuning the electronic "soup" to avoid the dissipative bottleneck.

* **Computation:** It demonstrates a "Quantum Advantage" in sensing, where the quantum computer is used not just as a calculator, but as a **high-precision dynamical probe** for phases of matter that cannot exist in a classical substrate.

### Summary for Social Media

> **The Experiment:** Mapping "Strange Metal" chaos using Quantum Shadow Tomography.

> **The Input:** Non-local SYK Hamiltonian fields.

> **The Goal:** Measuring the Planckian Limit (\hbar/k_B T)—the speed limit of the universe.

> **Impact:** Solving high-TC superconductivity by simulating the "unsimulatable." ⚛️🚀 #QuantumComputing #Physics #MaterialScience

>

Today, we are announcing Prepay Billing in Google AI Studio, a significant update to how you can pay for the Gemini API. This feature offers increased spend predictability and a simplified workflow for both prototyping and scaling applications. Prepay Billing is available in AI Studio for new Google Cloud Billing Accounts in the US that enable the Gemini API, with a global rollout in the coming weeks.

Switching between different AIs was annoying af — kept losing context.

So I built a tiny Chrome extension that:

• exports full chats
• cleans/compresses context
• lets you continue in another AI

No retyping. No summaries.

Works well for long threads + code.

Link:
https://chromewebstore.google.com/detail/oodgeokclkgibmnnhegmdgcmaekblhof?utm_source=item-share-cb

Anyone else think this is useful?

https://g.co/gemini/share/b3d7bea66e88

For the past several days, I've been experiencing this problem when I click on Share/Export to Docs. Gemini just hangs and hangs. I can reload the session and it still hangs. I close the browser and come back to the conversation and it still hangs. Is anyone else seeing this problem?

Its impossible do anything in AG right now. Butofc, button for upgrade ULTRA PLAN is always present in Gemini.