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
Tag: English
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.
In the realm of generative AI, we have become obsessed with perfection. We chase the highest token counts, the lowest latency, and the most statistically…
In the rapid evolution of autonomous Large Language Model (LLM) agents, one bottleneck remains constant: cognitive persistence. In standard developer setups, agents operate in a…
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.
Google’s Managed Agents offer powerful, token-metered sandboxes that wash away like sand castles. But for true digital sovereignty, you need a local, persistent Memory Palace. Here’s why local agentic AI is the ultimate path to owning your infrastructure and intellect.
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.