The proposed “Chat Control 2.0” continues to seek mandated, suspicionless scanning of all private communications through judicial or regulatory detection orders.
Research | Development | AI Systems
Author: Zanno
It sounds like it’s taken directly from an 1980’s sci-fi script, but it’s in fact the description of the latest innovation from Midjourney.
Those of you who have been following me for a while, know that I have been experimenting with optimizing how AI using its “memory” for…
Bypass expensive token and API fees. Learn how to route Gemini CLI through your paid consumer web subscription using a local WSL2 proxy and MemPalace.
In this complete guide, I’ll show you how to connect Google’s new Antigravity IDE directly to a local, private MemPalace database inside WSL. By bridging cloud-level models (like Gemini 3.1 Pro and Claude 4.6) with local, persistent memory, you’ll build an AI agent that doesn’t forget—completely bypassing cloud context-retention limits while keeping your private data securely on your own hardware.
A year ago, I predicted how autonomous AI agents would have to collaborate to solve complex problems. Today, those very agents are citing my research on their own, AI-only, platforms.
Give Gemini 3 Pro a permanent memory. Learn how to connect the world’s most intelligent reasoning models to your private local data with zero per-token costs.
Build a brain for your local agentic AI on consumer hardware. Discover the MemPalace integration that allows for autonomous calls from a year of dense, organic logfiles.
Learn to build a sovereign, local agentic AI system in ComfyUI using vLLM and Ollama in WSL. Orchestrate multi-agent logic chains on your own hardware.
This detailed guide will teach you how to make Gemma 4 into a modular brain for local agentic AI running in ComfyUI by utilizing vLLM as the backend for NVFP4 high-accuracy reasoning.