Your private conversations with AI are not as private as you think.
In early 2026, a story broke that should have been front-page news for weeks. Former OpenAI employees came forward with claims that internal teams were routinely reviewing private ChatGPT conversations. Not for safety. Not for moderation. For business intelligence.
The allegation was straightforward: employees at OpenAI were mining user chats to identify promising startup ideas, product concepts, and market opportunities. People were brainstorming with ChatGPT the same way they would brainstorm with a trusted colleague, pouring out unfiltered business plans, product strategies, and competitive analyses. And someone on the other end was taking notes.
This is not a bug. This is the business model.
When you send your voice, your text, or your ideas to a server you do not control, you are trusting a corporation with your intellectual property. You are trusting their employees, their contractors, their training pipelines, and their future acquirers. You are trusting that nobody in that chain will ever look at what you said.
That trust is misplaced. Not because every company is malicious, but because the incentive structure makes abuse inevitable. Data sitting on a server is an asset. It will be analyzed. It will be monetized. Maybe not today. Maybe not by the people who built the system. But eventually, someone will look.
OpenAI is not unique. This pattern repeats across the entire tech industry:
Every single one of these companies told users their data was "private" or "anonymized." Every single one of them was caught with humans reviewing that data.
Text is revealing. But speech is something else entirely. Your voice carries tone, emotion, hesitation, and context that text never captures. When you dictate your thoughts out loud, you are often less guarded than when you type. You think out loud. You ramble. You say things you would never put in writing.
That raw, unfiltered stream of consciousness is exactly what makes speech-to-text so powerful. It is also exactly what makes cloud-based speech processing so dangerous.
If your speech-to-text tool sends audio to a server, someone can listen to it. It does not matter what the privacy policy says. It does not matter what encryption they claim to use. If the audio reaches a server, it is no longer under your control.
SimplyTalk exists because this problem should not exist.
When you press the hotkey and speak, your audio is captured by your microphone, processed by the Moonshine AI model running on your CPU, and the resulting text is inserted into your application. The entire pipeline happens on your hardware. Nothing leaves your machine. There is no server. There is no account. There is no analytics endpoint quietly phoning home.
This is not a marketing decision. It is an architectural one. We did not build a cloud product and then add a privacy toggle. We built a local product because local is the only architecture that actually protects you.
The OpenAI story is not going away. Cloud AI is only going to get more invasive, not less. Here is what you can do about it:
Your ideas are yours. Your voice is yours. Choose tools that respect that.
SimplyTalk runs entirely on your hardware. No cloud. No data collection. $289 one-time.