I am empowered by these tools, and that's how you create real value for society and the economy.
The tools have already been invented; it's now about getting people to understand what's out there, assemble their own tools, and put themselves on a completely different trajectory.
NanoClaw has a very short code base that even an amateur like me can read and understand.
This month, I'm visiting 12 countries. I'll have to meet hundreds of people and understand each country's economy, geography, culture, history—war and peace.
There’s a huge cognitive overload on every deployment. The question is: how can I turbocharge this process so that, if I need a fact or background, I can get it anywhere, and even go down the rabbit hole if needed?
LLMs are useful for analysis, extraction, expression, and certainly for drafting briefs, speeches, and formulating answers to questions.
My most-used agent runs on a Raspberry Pi that's at least two or three years old, with just 8GB of RAM. This demonstrates accessibility, personalization, relevance, and practical use.
If you're interested in something, get your hands dirty and learn by doing. Since the barriers to entry are now so low, everyone should embark on personal experiments.
You cannot govern a technology you’ve only been briefed on. You need to get your hands dirty to understand both its potential and its limits and problems.
There are good economic and design reasons to use LLMs, but deterministic systems and expert rule-based systems still have a role.