The only place I see a divergence in your thinking is in liability, legal malpractice and medical malpractice will still need a physical person to blame. Ridiculous amount of efficiency gained will result in ~90% reduction in workforce and that’s coming from a lawyer. (For whatever that is worth at this point)
@amandacstein Luke Hughes OT in Washington. Decided to take the trip to DC and was not disappointed. After his performance in these playoffs all I can say is I will be adding a second Hughes jersey to my collection this off-season.
Not to take needless shots at Nico (I really do think he’s great) but I don’t know if he’s captain material. Maybe it’s just because I am not in the locker room but this team needs a stronger captain plus to make a cross sport reference, a PJ Tucker type player. Someone who’s going to keep this team driving forward even mark things are tough and someone who is willing to shake some of these guys awake when we fall asleep in these games. I truly don’t think a proper captain or Pj tucker is on this roster. Again I think chemistry calls are always hard to make as a fan. The players and coaches will always know best but just offering my two cents nonetheless.
I think I’m failing to see how a “super intelligent system in space” is powered in this hypothetical? Are you saying this is an efficient Ai which requires low compute? What would it be achieving by locating itself in the Lagrange point? It’s drastically limiting its future options by positioning itself there.
I think the overall point is the assumption that a “super intelligent ai” would chose the inconvenience of shooting itself into L2 for the sake of humanity is somehow rooted in its own desire to reduce its core temp while drastically reducing its future options is hard to imagine. Could it be motivated to offworld a copy of itself? Sure. I can’t imagine an advantage to putting itself in L2 as it’s main point of operation.
And the real point is my lack of ability to imagine, your lack of ability to imagine and everyone’s lack of ability to imagine is exactly the problem. You assume your comprehension of the world, the amount a rocket can lift, the desires for a system to be cooler rather than hotter is all based on a human perception. Super intelligent ai will not think like anything you can point to today. So you pontificating optimal super ai residences in the future falls squarely into science fiction dressed up as conjecture.
Car manufacturers buying stock in windshield wiper fluid companies after erroneously positioning the nozzles so any car cleaning it’s windshield will ricochet fluid onto nearby cars starting a chain reaction of window washing down the entirety of the I-95. (I just watched this happen)
Could be wrong here but isn’t the large divergence here between Trados/Geewalha and a CS like transaction imported into DE (for sake of argument) the fact that in Trados the court relied on the concept that the transaction consideration exceed what they would make for stockholders? There’s no way they can make that justification here. Essentially not satisfying the fair price prong the EF analysis?
Who has some statistics on average speed going through tolls graphed over time. I swear we went from throwing quarters going 5mph to people hitting a ez pass toll booth lane doing 90
While any Ai will take tens of thousands of GPUs and billions of weights. You can think and compute off of no sleep, with very little food or water for days. Especially in terms of energy per output, humans remain in a league of their own.
I get annoyed sometimes thinking of the futile nature of learning especially with the turn of the all knowing Ai right at our doorstep. In that worry I have come to love the process of learning more and appreciate how powerful the human brain is.