Time to switch to PPQ's privatewhisper.ai Privatcy first, open source, local-only optional, slick, convenient.

PPQ's codebase increased 330% (48k-->159k lines of code) in the last 12 months. The rate of growth is both astonishing and alarming at the same time. I don't know the exact significance of this but it seems like an interesting insight.

Kimi K3 is now available as a private (TEE) model through our provider Tinfoil. Additionally, prompt caching is now supported on our private GLM 5.2 model, reducing costs ~50%.

User spending on open weight models surged to 46% of total spending this week on our platform, led by an explosion of interest in Kimi-K3 in the wake of the Coldcard hack. This may turn out to be a leading indicator for the entire AI industry as whole as open models proliferate and closed models are kneecapped by regulation and self-flaggelation:

Teaching my son the fundamentals of channel liquidity management.

Boltz isn't the only one this is happening to. We've been fighting off exploits every other week for several months, most of which we believe are AI-powered. It's a very dangerous time out there. One tool we found useful was Shannon:

GitHub

GitHub - KeygraphHQ/shannon: Shannon is an AI pentester for web applications and APIs. It analyzes your source code, identifies attack vectors, and executes real exploits to prove vulnerabilities before they reach production.

Shannon is an AI pentester for web applications and APIs. It analyzes your source code, identifies attack vectors, and executes real exploits to pr...

Kimi-K3 is seeing a massive spike on our platform as folks are quickly scanning code for vulnerabilities in light of the ColdCard attack. Why Kimi-K3? It's the only frontier model that is NOT rejecting cybersecurity audits. American AI orgs need to WAKE UP!

I could see some sort of “AI battle” sport forming where human teams are given certain models and token expenditures and then scenarios are written such that each team trieds to engineer its AI defeat the other team's AI given the scenario and rule set.

We've been getting more traction on our Private Whisper dictation app lately and have decided to open source it to accelerate. Our dictation product offers fully local, anonymous, and even TEE processing for maximum privacy. Check it out!

GitHub

GitHub - PayPerQ/privatewhisper: Private Whisper by PPQ.AI — open-source desktop dictation app with AI clean-up (macOS, Windows, Linux)

Private Whisper by PPQ.AI — open-source desktop dictation app with AI clean-up (macOS, Windows, Linux) - PayPerQ/privatewhisper

Live on PPQ

We've now added the labels "Anon", "ZDR", and "TEE" to describe the privacy surface of each model. Read more in our new blog post:

Anon vs ZDR vs TEE - Understanding PayPerQ's Three AI Privacy Tiers

Not every "private" AI model protects you the same way. Here's how PayPerQ's three privacy tiers — Anon, Zero Data Retention, and Trusted Executi...

It's a surreal how open source contributions are now essentially just one's own AI having a discussion with the maintainer's AI and where humans are just brief touch points.

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