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aeternum

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Apple tried the damnedest at that during their intel era.

The story I heard was intel failed to deliver on die shrinks that were supposed to increase thermal efficiency. The fan also had poor routing and basically did nothing.

Apple was clearly not at the top of their game for that design, nor would you expect them to be as the decision was likely already made to move to apple silicon.

Surely if the machine you go to for answers regularly makes things up you would just stop using it?

Not necessarily, namely because P != NP. Verifying the correctness of a solution is faster than solving it. Thus a system that outputs 99% incorrect solutions and 1% correct solutions can still be incredibly useful.

Thermal dissipation scales quartically with T, that's about as graceful as you can get from a physics POV, very few things scale at that rate.

COTs GPUs throttle at about 90-100C but that's because they have plastic parts and solder that melts. Those are relatively easy to eliminate.

We haven't tried much to scale up operating temp.

Pinch to zoom on an early iphone navigating those fixed-width sites worked surprisingly well.

I still prefer it to the responsive pages where stuff moves unpredictably and annoyingly. Before you never had that feeling that the webpage was fighting you.

I sometimes wonder if there is an equivalent loss for this new AI world and one that I've noticed is a kind of sameness that is slowly spreading across the internet.

DOGE found an actually highly efficient Federal government

For anyone that has worked on either side of government procurement it is obvious that this is not true.

It's quite common for contracts to no longer make sense yet neither side wants to cancel them due to the paperwork involved. "Just put the money towards something else similar"

Plus the many high profile examples like high-speed rail, rent subsidies.

Yes it would be better if it took these into account but doing so would not change the overall numbers.

Risk of perforation is something like .03% and almost never fatal whereas a colonoscopy reduces colorectal cancer mortality by 60-70%.

And you have to consider the opportunity costs of consuming the doctor's time, the labwork, and the facilities, possibly delaying treatment for someone else who actually needs it.

That is also rarely true. More often, greater demand for a service soon yields economies of scale, more efficiencies and overall more patients served at a lower price. Low volume is expensive, high volume is cheap.

Not sure it's so clever because I completed it as "not always wrong but often wrong", which their graph in the article seems to confirm.

Mainstream predictions are easy, usually it means predicting status-quo. It's the out-of-consensus that matters (right 2 quadrants) and it looks like they are slightly worse than 50/50 on those.

Props for publishing it though.

Good thing Elon's companies have a history of moving engineering impossibilities from impossible to slightly late.

Remember when globally competitive electric cars, re-usable boosters, catching a rocket with chopsticks, playing a fps game via a brain implant, and maintaining a satellite constellation at 480km LEO were also impossible?

Certainly, you should attribute a significant proportion to the people who installed the automated system and even more to those who designed it.

Indeed, but what happens if/when they choose to sell the system and someone else buys it? Now the owner is who is generating the value. Even if he hires some maintenance worker to come by once and awhile and check up on it, it is the system (aka the capital), not the worker that is generating the vast majority of the value.

That is true but likely only temporarily. Why is the single worker even needed?

We tend to have a pretty human-centric worldview so if there's a single human working to keep a hotel running, our default is to attribute all the generated value to them when it really isn't the case. You can imagine that hotel at some point in the near future goes from requiring 1 worker to keep it running to zero.

Marx fails to imagine a world in which labor actually has little to no value.

His worldview is primarily that capitalists 'steal' the valuable labor. However it doesn't seem that that is actually the world we are in. Instead the intrinsic value of human labor seems to be slowly trending towards zero.

And it kind of makes sense, same has happened with oxen labor, horse labor, etc.

Perhaps it is the use of the dollar as an instrument of offensive diplomacy that is weakening it.

Economic sanctions used to be rare, between 2000 and 2021 they grew by 1000% and the list is something like 17,000 entities long.

Is USD still a currency or is it now more like Robux: Swiftly confiscated if you violate the TOS?

Yes, I think given that misinfo this was probably the right decision by S&P, everyone would be saying I told you so and screaming about providing exit liquidity.

My prediction is that this will overall end up costing index holders money though. They will ultimately get a worse entry price for SpaceX and the other mega IPOs. Only time will tell.

Learning is biologically required to be hard.

I think we all know this to not be true. We've all had a super engaging teacher or task in which we learned quickly and efficiently without it feeling hard. I've learned far more through natural interest or through pursuing a goal than I have forcing myself to engage with a subject.

Any for-profit initiative (ed-tech) will not be incentivized to improve learning outcomes. There's no money in it.

This also seems obviously false. Suppose some company did figure out a way to make learning twice as fast/efficient and proved it with data, there would be tons of money in it. Duolingo is just one example that there is plenty of money to be had even with dubious claims and a product that doesn't actually work that well. The issue seems to be that no company has figured out how to make arbitrary knowledge interesting enough to a wide enough variety of people.

If you take the extreme, people would pay huge amounts of money for The Matrix download to your brain type learning. The problem isn't no money in it, the problem is no solution thus far.