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
Category: 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…
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.
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.