Browse Comments — Clean (de-noised)
Close reading of the corpus at each pipeline stage: raw → clean → relevant → coded.
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Black Mirror: Fifteen Million Merits?
Black Mirror
The worst part is everyone would check their output score and wonder why Brad in row 3 is generating more watts.
The gym would call it a mindfulness class because the app says your rage output improved 17%.
nice.. :)
Yeap, and we wonder why Scale AI sweatshop has a growing valuation...
Felt bad to see Elon's lost his hair, and telling people will lose their jobs
I really don't know how to feel about this. Is normalcy too much to ask for?!
Black Mirror already went there years ago
Human to do Cardio and Generate Energy 😁 Robots will do better and faster 😁💪
The joke is on us
This projection of Jeff Besos looks younger then current Jeff Besos
Black Mirror was on point all along! 😂😂
Interesting. Is this another Black Mirror prediction? 😅
This isn't an "ignored noise" problem; it's a structural Operational Waste in the decision architecture. When I audit teams, the habit of focusing energy on non-customer feedback often leads to a Growth Ceiling, effectively burning 2-3 hours per day on irrelevant data. Building a business requires a clear signal-to-noise ratio, otherwise, critical market intelligence is filtered out, creating a Brand Contradiction as the product diverges from actual user needs. This structural failure to implement a robust feedback loop costs businesses 7-figures in hidden revenue by delaying essential product-market fit adaptation and escalating customer acquisition costs as the market shifts. You don't have a noise problem, you have a missing feedback loop architecture.
The gym analogy is funny, but honestly, not impossible. :) It highlights a very real economic direction: if AI takes over production, we will soon have a massive amount of cheap, unqualified workforce desperate for any income. You can bet that entrepreneurial brains are already thinking about how to turn this massive new resource to their advantage. Whoever finds the most efficient, creative, and perhaps unexpected ways to leverage this 'human abundance' will become the next business monsters. Don't you think?
This video takes it to an extreme so it makes it very clear that we need to think about how we create value and how we share value in the future. It's certainly not, how we understand our work today.
"If AI takes over the work, what role do humans play?" The real misunderstanding is this: We’ve confused work with the purpose of being human. For decades we defined human value almost exclusively through economic output — as if our primary role is to produce. That was never the full truth. Work provided structure, status, and income, but it was never humanity’s essence. The purpose of the human is not to labor. It is for example to judge wisely, create meaning, build relationships, and take moral responsibility — things AI can simulate but not genuinely embody. When we reduce human purpose to “work,” we set ourselves up for the exact existential crisis you describe. The coming shift isn’t about humans becoming obsolete. It’s about finally freeing ourselves from this narrow definition.
The real shift is not AI replacing humans. It is AI exposing how much of our work was never truly value creation in the first place. The future will belong to people who can think clearly, solve real problems, and build systems, not just stay busy Pascal BORNET
Enterprise AI already showed us that automation changes human roles faster than institutions can redefine purpose. That gap is where the real disruption begins.