We always love to talk about "technological equity", but ROBO's white paper hides a colder term: skill liquefaction.
It depicts an extremely enticing blueprint, saying that robots can learn to be electricians or welders instantly, like downloading an app, at a cost of only three dollars per hour.
It sounds like a revolution to eliminate poverty.
But have you ever thought about where the initial data that teaches robots to "tighten screws" actually comes from?
The project mentions "remote collaboration" and "skill crowdsourcing" in the white paper.
In plain terms, it means letting those old craftsmen who are about to become unemployed in the real world wear sensing suits and personally feed their lifelong skills to machines bit by bit.
This isn't entrepreneurship; it's clearly holding a crowdfunding-style funeral for one's own career.
Even more absurd is that set of logic about "material abundance".
It promises to let you "fragmentedly own" these robots, exchanging your skills for a bit of $ROBO tokens.
You personally teach the machine how to replace you, and as a reward, you become a small shareholder of this "unemployment manufacturing plant".
This is an extremely sophisticated cyber game.
It transforms the originally dignified "craftsmanship" into a digital asset that can be infinitely replicated, depreciated, and ultimately completely devalued.
The white paper repeatedly discusses how to make machines "obedient" and how to achieve the so-called "human-machine alignment".
Yet it never mentions that when humans become just a pile of "redundant noise" used to correct algorithms, what do we use to align with these tireless metal lumps?
In the end, we may usher in a golden age of extremely cheap goods.
But by then, who will still have the strength to care about whose fingers taught these cheap parts?
@Fabric Foundation #ROBO $ROBO
It depicts an extremely enticing blueprint, saying that robots can learn to be electricians or welders instantly, like downloading an app, at a cost of only three dollars per hour.
It sounds like a revolution to eliminate poverty.
But have you ever thought about where the initial data that teaches robots to "tighten screws" actually comes from?
The project mentions "remote collaboration" and "skill crowdsourcing" in the white paper.
In plain terms, it means letting those old craftsmen who are about to become unemployed in the real world wear sensing suits and personally feed their lifelong skills to machines bit by bit.
This isn't entrepreneurship; it's clearly holding a crowdfunding-style funeral for one's own career.
Even more absurd is that set of logic about "material abundance".
It promises to let you "fragmentedly own" these robots, exchanging your skills for a bit of $ROBO tokens.
You personally teach the machine how to replace you, and as a reward, you become a small shareholder of this "unemployment manufacturing plant".
This is an extremely sophisticated cyber game.
It transforms the originally dignified "craftsmanship" into a digital asset that can be infinitely replicated, depreciated, and ultimately completely devalued.
The white paper repeatedly discusses how to make machines "obedient" and how to achieve the so-called "human-machine alignment".
Yet it never mentions that when humans become just a pile of "redundant noise" used to correct algorithms, what do we use to align with these tireless metal lumps?
In the end, we may usher in a golden age of extremely cheap goods.
But by then, who will still have the strength to care about whose fingers taught these cheap parts?
@Fabric Foundation #ROBO $ROBO