







When you use an AI service, you’re handing over your thoughts in plaintext. The operator stores them, trains on them, and–inevitably–will monetize them. You get a response; they get everything.
Public AI Inference Utility
A nonprofit, open-source service to make public and sovereign AI models more accessible.
Privatemode AI - The always encrypted AI service
Privatemode is the first AI service that protects the confidentiality of your data end-to-end. Use AI without security and privacy worries.

AI Inference Pricing, EU Hosted, Per Token | TensorX
Transparent, pay-as-you-go pricing for private AI inference on TensorX. No lock-in, EU-hosted, with zero data retention and an OpenAI-compatible API.

HUGE — AI Without Giving Up Your Privacy
We're building an Agentic AI Platform running on your Device that lives with YOU, isolated from the cloud, fundamentally reimagining the relationship between humans and artificial intelligence through ownership, privacy, and massive context. In an age of capture and control, HUGE sells independence and sovereignty.
The argument against AI agents and unnecessary automation
Opinion: OpenAI's Operator a solution in search of a problem

Characterizing Agentic Flooding of Government Services
AI agents are making it easier for the public to interact with government, such as by helping them apply for benefits, understand complex policies, and make their opinions heard. Although...

Unlinkable Inference as a User Privacy Architecture
Unlinkable inference is a technique that provably sandboxes your AI requests from each other and from your identity. We discuss its building blocks, applications, and how it fits into the broader landscape of private personal intelligence.
Machine god metaphors eat your brain
There are other ways of thinking about AI


Our minds aren’t equipped to handle AI
AI is junk food for the mind: easy, tempting and ultimately very bad for you.

How AI Is Learning to Think in Secret — LessWrong
On Thinkish, Neuralese, and the End of Readable Reasoning • ---------------------------------------- …
Everybody needs a personal AI policy. Just ask Hank Green.
How can we reap AI’s benefits without melting our brains in the process?

Signal President Meredith Whittaker calls out agentic AI as having 'profound' security and privacy issues | TechCrunch
Signal President Meredith Whittaker warned Friday that agentic AI could come with a risk to user privacy. Speaking onstage at the SXSW conference in

Are we offloading too much of our thinking to AI?
Reflections on autonomy and the value of thinking for ourselves
