In this post, I explore the evolving world of Language Learning Models (LLMs), considering how they learn, the future of human-LLM conversations, the hallucination problem, compensating data providers, the potential lucrativeness of data annotation, and the advent of a new Marxist struggle.
A document describing how to work with me. What am I like? How do I work best? And more.
A survey of how neural networks are currently being used in simulation-based inference routines.
A running list of things I've built in and around the crypto space.
I'm taking some time to explore: Rust, complex systems, crypto.
What would preeminent 20th century geographer Halford J. Mackinder say about the coming revolution in artificial intelligence and its impact on our current ideological war?
What happens when a post-Trump, reputationally-bruised United States, and improved generative models (the technology behind "deepfakes") collide head-on?
In world of weaponized drones piloted by algorithms, what new strategic opportunities arise?