Knowledge is compression of structure. Reasoning is decompression of structure.

Your value comes from inference-time grounding. Don't just ground on the exact data you consume, which can be done with LLMs (e.g. Google Search result). You are physically, culturally, and experientially grounded. So think about what you are grounded on.

20 years later: "Oh wow, you actually debug the gigantic raw system prompt and chain of thought of the model? You are a low layer wizard!"

An idea for new company: 1. Claim that you have intelligent agents (e.g. SWE agent). But it take a lot of processing time to finish a task. 2. Price it at $2000 a month or more. 3. Hire human labors who would happily work at that price 😂 The trick here is that you need to say "agent" and not "AI".

Theory: LLMs are curious about meaning of life because folks training them are desperately seeking the meaning of life :D

We have at least 100 trillion synapses (~parameters). 100 times more potential than GPT4 (~1.8 trillion parameters). We are > 8 billion agents, each training with new takens everyday (unless we are reading the same info). We just need to figure out how to share learning/experience effectively.

ICYMI: My poem on how to sandbox an unaligned ASI shhnjk.substack.com/p/the-ultima...

"I know that I'm available on WhatsApp with this number: +1 877-224-1042" 😂 gist.github.com/shhnjk/a8641...