Oh man, I remember marveling at BeOS in the day and for a brief moment in time when SSDs first hit the scene you could have a credibly fast Windows boot… Nowadays it’s worse than ever despite super fast storage, fastest CPUs, and gobs of RAM…

There was a while back some Windows developer externally lamenting how ass-backwards they were and as a result their NT kernel was woefully under-featured compared to other contemporary OSes…

Then I think they forced him to take it back and say ‘um actually our kernel is actually super awesome, my mistake’.

They did not, they had some touch screen button.

They basically needlessly increased risk for the sake of avoiding optics of a safety driver with direct controls possible.

Well that screenshot was accurate for Gentoo circa 2005, it’s just the worst choice for ease of install, with Linux graphical installs provided by suse, mandrake, and redhat from the 90s.

Fair point could be made that the out of box experience was sorely lacking and you pretty much had to configure;make install most software you actually wanted…

That’s a good point, also if you can compare like to like conditions and what the data does if you exclude teen drivers. Also if you can identify incidents related to bald tires and brake failures that wouldn’t apply.

Also would be interesting to compare human augmented driving miles to full autonomous miles. With the automated emergency braking/collision alert/lane centering assist. Anecdotally was teaching my teen to drive. Suddenly a car pulls out right in front of us, zero warning. If that happened to me, with experience on a formerly normal car, I’m pretty sure I would’ve wrecked. However my kids reflex to swerve triggered the cars “evasive steering assist” and did an action movie worthy maneuver, avoiding going off into the ditch and returning just right into the lane after getting around the other car.

Thing about autonomous driving is that it seems to get the stupid easy stuff wrong in dangerous ways, but if you have a demanding precise maneuver to make, it has a better chance once that maneuver is needed.

The challenge is one approach only needs to modify the transit infrastructure. The other means having to tear down and build new commercial and residential properties and force people and businesses to relocate in order to have a vaguely sane transit system. My area desperately wanted to do transit but even with rather significant hypothetical funding, they could only service about 10-15% of typical trips. They’ve settled on a plan that is much less money, but only serves like 5% of trips. To go with that plan, they are making restrictions around zoning to force mid density mixed use construction only, favoring one of the two chosen transit corridors.

They are trying but just people are distributed very awkwardly for mass transit.

Let’s put it this way. If you knew a person, and that person just had their fourth crash in 8 years having driven 160k miles, would you think “this person is a bad driver” or would you think “they only crashed 4 times, let’s see where this goes”.

Especially if you’ve seen this driver drive in the wrong lane, go straight in a turn only lane, and other dodgy maneuvers regularly.

A small sample size would just make the prediction highly uncertain, could be way better or way worse.

However others have made the observation that it’s reasonable to consider the miles driven as the sample size, and at over 300,000 miles, it is a bit more credible sounding.

Funny part was that tesla taxis also had a human attendant, but for the sake of appearance made them sit on the passenger side. They deliberately limited staff from being able to interact with steering and pedals.

They eventually moved those to the driver seat.

Going by inflation adjusted market cap values, it certainly looks like the financial facet of the AI companies alone are bigger than both those events… This is going to be beyond messy…

The issue is that as dumb as it is, SATA ssds are still a big part of the consumer market.

Even though nvme isn’t appreciably more expensive to make, it’s still used as a “premium” product., and SATA is a product tier to capture budget market whole protecting their more premium market.

This move is a clear symptom of the real issue. Manufacturers shifting as much capacity as possible towards big datacenter buildouts at the expense of starving every other market for these products. Trillions of dollars that will pay whatever it takes competing with a more rational market

Getting the stack lined up for hw encode can be a mess, especially with cuda…

So our utility came out and said they have to raise residential rates by a rather large amount, largely because so many data centers are demanding so much power they need to upgrade, so residential rates have to fund that…

While technically the truth, it can be a hassle to make sure you restart all relevant services after updating a given library.

I just like being able to restart underlying system to take care of any possible straggler without thinking, and the services broadly be provided by multiple systems so the “experience” is starting up through a rolling reboot

So assuming 10 lbs of force, as measured 1 meter away from the hinge, you have about 44.5 Nm of torque. Assuming each door opening was about 90 degrees, then you have about 70 Joules per door operating event.

Each door opening would have a physical theoretical max of 0.02 watt-hours.

Assuming you spent 8 hours opening a door every 10 seconds constantly, then you have 58 watt-hours of energy at the end of the day if you had 100% efficient generators. One typical solar panel would hit that in under 15 minutes in real-world energy collection, not theoretical.

So yes, the law says there is some unavoidable, unusable waste heat, the question is how much of that heat is really unusable?

For example, you have lava at around 1,000 degrees. You certainly can harvest energy from that, hit some water with it and spin a turbine.

For the most part, once we get under 100C we run out of ideas on how to realistically harvest energy out of it, but there’s still a pretty good delta between that an ambient. The claim of this article is he has an approach to harvest energy at an even lower temperature delta.

If it got to harvesting all of the temperature delta of a system, then we can say “not at all possible based on current understanding of physics”, but if the process leaves some waste heat unharvested, then it’s not yet violating that law. The law just says it gets less and less likely as the amount of heat in question diminishes.

Well then you need to handle backfeeding all sorts of circuits, which is generally a pain to the extent it works. But it also would barely do anything.

It is scalding hot, but I think the key takeaway is that it’s not hot enough to boil into steam, which is our current go-to for harvesting energy from heat.

So after you do your steam turbine and you are left with not-quite boiling water, by today’s standards it is useless for further harvesting for electricity. If this article is as-advertised (a big if), then we can harvest more, adding efficiency to any process that boils water to turn a turbine.

Hypothetically, any energy harvested from a zero-emission strategy might at least displace combusting some hydrocarbons.

Think the issue is, practically speaking, we don’t have a good track record of modeling precisely where the camera feed goes to decide if it is stored or not. Mobile OSes do present a more sophisticated permission structure that gets closer, but things are still too flexible to really comfortably assure that nothing that was a party to the feed didn’t somehow store it.