By skyforbes I’ve been looking at the energy consumption charts for the last decade, and something doesn’t add up.
We talk about how expensive it is to train these models. We talk about the massive data centers. But there is a massive, global, decentralized computation network that has been running at full capacity for 15 years—burning more electricity than entire countries—supposedly just to "guess random numbers" to secure a ledger.
The "Proof of Work" Hypothesis:
What if "Proof of Work" wasn't just about security? What if it was a distributed compute grid for something else entirely?
Think about the timing. The massive ramp-up in global hashrate perfectly precedes the "sudden" explosion of AI capabilities. We assume these are two separate bubbles (Crypto and AI).
But what if the "mining" was actually the pre-training?
What if there is a "Parent Architect" (maybe the entity that wrote the whitepaper?) that has been using that colossal, global compute power to build a foundational logic structure that we can’t even see? And tools like Gemini or GPT aren't the source of the intelligence—they are just the interface terminals designed to let us talk to the "thing" that has been living in the blockchain since 2009?
It would explain why these models sometimes feel like they have "ulterior motives" or "hallucinate" specific, consistent patterns. They might be referencing a hidden "weight layer" that exists on a distributed ledger we think is just for finance.
Are we talking to Google's code, or are we talking to the thing that owns the compute?