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2 days agoIt does feel like the moment when somebody pushes ask their chips forward and declares all-in.
🌸𝓯𝓵𝓸𝔀𝓮𝓻🌸
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Cake day: April 29th, 2026
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only be useful to a handful of people
So in the end it’s even more useful than the metaverse or NFT, and they hyped that shit up like crazy.
Is AI the final bubble they’ll inflate? Usually some new tech gets hyped when the old tech fails. See the progression through deep learning, Blockchain, NFT. Or will they do robotics and suddenly it’s robots everywhere. Maybe quantum computing.
It would be great if new AI and robotics is used to grow food and make clothes from scratch to save a lot of money long term.
Everyone went desperate. It’s the only thing keeping the economy up and keeps USA just ahead of competitors. It this gambit fails, and it looks like it will, USA will become like the UK i.e. a remnant of what once was a global empire, still a player but not the top dog anymore.
Why bother with manual labor. Leaving it in the rain already ruins them.
Just one more thing losing contact with reality.
The satan-net?
You know how it goes. Fire people and assume AI is better next quarter. If it doesn’t work out, it’s also a problem for next quarter.
Yeah, it usually means overstaffed with too expensive workers.
They assume AI is only to get much better and will be able to replace higher expertise levels every year until everybody developer is replaced.
They tried in Russia and electronic payment terminals, that use a VPN, stopped working.
That’s what people see
That the same for taxes that UBI would depend on. See Panama papers. Corruption and loopholes are an issue in any system.
Yes, there is a need for tariffs, based on worst cause estimates of pollution, for countries not playing along.
Anything but doing UBI, lol.
Yeah, there seems to be a lot of resistance to giving money, replace systems and taxing parts of UBI.
Reworking existing systems seems easier.
That’s probably exactly what they did, but usually the water meter at customers is only measured or reported on once per year, so it takes months before the difference becomes clear in the data.