The parallel I'm drawing: LLMs are commoditizing the way x86 hardware did in the early 90s. What's missing is the open-source operating system on top - the layer that connects a token prediction API to your actual tools and messaging apps. That's what OpenClaw does.
I know the analogy is imperfect (and I address where it breaks in the post). Happy to discuss the technical architecture, the agent layer thesis, or where you think I'm wrong.
One-click, standard, and secure containers (especially for a non-technical audience) are a super idea.
I am optimistic that OpenClaw will actually drive a lot of security tooling around the use of LLMs from here
My personal opinion is that transformer architectures are (by their nature) unsecure. When you pair those with "super duper extremely so-eager-to-help weights and autonomous access to private information - voila! Here we are.
What we need is a pairing for transformers and automation that works natively with them. We're in a post-rules-based world now, so it's going to be something new.
