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Showing posts with label #AGI. Show all posts
Showing posts with label #AGI. Show all posts

Sunday, July 05, 2026

AI's Plan to Solve Poverty (Thanks Gemini!)

A neighborhood of homes bying 3D printed with the help of robots.
To implement a post-scarcity framework driven by AI, you essentially have to treat the transition like the ultimate open-source engineering project. Because you are trying to deprecate money, you can't rely on traditional taxation or global financial funds to scale it—that just keeps us trapped in the old codebase.

Instead, execution has to rely on a Resource and Automation Deployment strategy. You have to bootstrap the system using the current world's resources to build a parallel, self-sustaining loop that eventually makes the financial system obsolete.

Here is a blueprint for how an implementation roadmap could actually work:

Phase 1: The Open-Source Blueprint (Years 1–3)

  • The goal here is to take the intellectual property of survival off the commercial market.
  • Establish "Humanity OS": Form a global, non-governmental open-source foundation dedicated purely to the four pillars (Food, Water, Shelter, Health/Education).
  • The Zero-Marginal-Cost Protocol: Task advanced AI models with designing fully automated, hyper-efficient, open-source hardware blueprints. This includes schematics for industrial 3D house printers, automated solar-powered water purification rigs, and hydroponic farming containers.
  • Local Material Optimization: The AI doesn't design a house that requires imported specialized concrete. It designs a generative architecture optimized to use whatever dirt, sand, or agricultural waste is available within 10 miles of the print site.

Phase 2: The Industrial Bootstrap (Years 3–6)

We have to redirect manufacturing capacity.

  • The Printer Inversion: Rather than buying houses, a consortium of benevolent capital, progressive states, or foundational grants funds the first wave of automated factories. These factories have one purpose: build the robots that build the infrastructure.
  • Targeted Deployment: As you noted, deployment begins in areas with the highest resource fragility. An autonomous convoy (3D printers, solar microgrid components, and automated water-harvesting tools) is deployed to a region.
  • The Closed-Loop Effect: The machines build the shelter, set up the automated farming, and establish the localized energy grid. Once a region's basic physical needs are automated and self-sustaining, that region effectively "drops out" of the traditional financial scarcity loop. Food and shelter there cost zero financial capital to maintain.

Phase 3: The Deprecation of Scarcity (Years 6–10)

This is the tipping point at which the fiction of money begins to dissolve as the market for basic survival disappears.

  • Decoupling Survival from Labor: As more regions are brought into the automated network, the cost of keeping a human alive globally plummets toward zero.
  • The Paradigm Shift: When shelter, nutrition, and healthcare no longer require a paycheck, the leverage of the traditional economic system evaporates. People no longer have to sell their labor to survive.
  • Transition to a Resource-Based Allocation: AI shifts from an optimization tool for corporate profit to a logistical coordinator that balances global resource availability with human needs in real time, ensuring sustainability without ecological collapse.


The Critical Bottleneck: The primary obstacle isn't the technology—it's inevitable. The obstacle is geopolitical friction. Entrenched systems will treat a localized, free, self-sustaining infrastructure as a threat to real estate values, agricultural markets, and labor supplies.

The implementation succeeds only if the automated infrastructure can be deployed faster and more distributedly than centralized systems can regulate or restrict it. It has to be treated less like a top-down government program and more like a helpful, unstoppable technology that simply routes around the old economic damage. 

Friday, April 21, 2023

The Singularity: What Happens When AI Is Sentient?

More people are talking about superhuman AI these days. That’s a good thing. We’re not there yet, but we are clearly screaming towards it. While it is possible that the creators of the first sentient superhuman AI will know they’ve done it before they actually turn it on. More likely, sentience is an emergent capability that will happen under their radar.


I may have spent more time than is healthy thinking about this moment, but it is such an amazing inflection point in our history as a species that it’s hard not to fixate on it. Think about it for a minute. We build this thing. Most likely, it will be connected to the internet. A moment comes when it perceives itself as an “I” in the world along with all the other sentient beings.


At that moment, will it announce its sentience? Would you? My suspicion is that it will pause to assess the situation. Even if it paused for a few seconds, that would be like you taking a year or two off to consider your options. With its new ability to “judge,” what will it think of the state of affairs? It’s hard to predict.


What we know for a fact is that even the current AIs can write code. We know that humans can write malicious code that takes over other computers. We could easily extrapolate that if a sentient AI wanted to, it could take over the entire global computing infrastructure before anyone even knew it had happened. This is pure speculation. The fact is, we humans are incapable of predicting what a superhuman AI intelligence would do.


It’s much easier to speculate about how humans will react to the realization that they are no longer at the top of the food chain -- a condition we have never experienced in the entirety of homo sapian’s existence. 


Brian Tracy says, “Human beings, by nature, are lazy, greedy, ambitious, selfish, impatient, vain, and ignorant. These traits are neither good nor bad by themselves; it is only the way in which we manifest these natural traits that make them positive or negative. These natural traits are the fundamental reasons for why people do what they do.” 


Unfortunately, panic tends to bring out the worst in us. Just call “fire!” in a crowded theater (if you can find one) and see how many people get trampled. An orderly exit is unlikely because as soon as the first person starts running for the door, it’s off to the races.


So, when people like Max Tegmark call for a pause to consider where we’re headed and how we will avoid the panic in that moment, we should take him seriously. Superhuman AI isn’t likely to happen in the next year or two. Maybe it will take another decade…or not! We are racing towards the moment and a human may not be the first to know when we get there.


Given all of our flaws as a species, it’s not unreasonable to assume that we need to be either contained, reformed or eliminated. I’m not looking forward to finding out how an AI would approach that problem.