Forgot your password?
typodupeerror

Comment Re:Mars still a better choice (Score 1) 70

A Mars settlement has the long-term ability of self-sustaining. And that same benefit means that it is much easier than the Moon to make it while not fully self-sustaining, involve a lot less maintenance and resource. One can likely more easily grow food, obtain water, and do many other things. The higher gravity also means that the health issues for humans in a low gravity environment are likely going to be lower.

Here are some valid goals for a settlement on the moon. It can serve as a gateway for missions to more distant places. Once you're out of the Earth's gravity well, a lot of things become easier. It can mine resources from the moon that will be useful for anything we want to build in space (titanium, aluminum, etc.). Construction in space will become a lot more practical if you don't have to launch all your raw materials from Earth. It can do science. The far side of the moon is a great place for telescopes. It can perform a lot of the same functions we currently do with satelites (observation, communication), but much easier to maintain and service.

Ok.. This is a reasonable list in part. The gravity well point is a pretty reasonable one; if one does want to build large structures in space, then having the much lower lunar gravity to start with is reasonable, and mining there doesn't come with the same environmental damage it does on Earth. The telescope point also makes sense, especially for radio telescopes which would be in the lunar shadow. I'm not at all convinced by your last point; it has a pre-existing fixed orbit which severely limits when observations and communications can occur, and that would require much larger systems for Earth observation since the moon is far away, and would add really not good latency for communications due to the moon being about a light second away from the Earth. But your point about resource extraction/processing and telescopes is enough to make a strong case that there's a reasonable goal set here. So, yeah, my statement there was wrong.

It also can be used as a launchpad for weapons that attack anywhere on Earth. Yeah, not all the potential uses are good ones. I wonder how much of the geopolitical urgency is driven by that?

Seems like a suboptimal use from a military standpoint. Sure, it works in Moon is a Harsh Mistress, but in practice, the travel time from the moon to Earth means it will be a minimum even with very high acceleration of about 6 hours to hit a target on Earth. Much more effective to have satellite based weapons in closer orbits.

Comment Re:Mars still a better choice (Score 1) 70

You can get to the moon in a few days. Mars takes months at best, and even that is only possible once every couple of years. People sent to Mars will be subjected to massive amounts of radiation during the trip. If something goes wrong, an emergency return home is impossible.

Trip time is a valid concern and ability to get home quickly in an emergency is also valid. Another issue with distance is the ability to send emergency supplies is very limited. Radiation issues are not really that bad though (and that seems like more of a problem). The radiation level is high https://pmc.ncbi.nlm.nih.gov/articles/PMC11814067/ https://ntrs.nasa.gov/api/citations/20240009831/downloads/NAS%20BPS%20Simonsen%20v4%20strives.pdf but manageable. A 6 month (comparably long) trip to Mars adds around 300 mSv which is slightly over half a year of time on the ISS. For comparison, if one looks at some of the most intensely naturally radioactive places in the world that people live, like Ramsar, Iran, one gets around 150-250 mSv.

I don't think that shows up anywhere on their list of goals.

If there's no goal of making an eventually long-term self-sustaining colony, it isn't clear what goals there are here that are a reasonable use of resources on this scale.

Comment Re:Not that different than previous tech bubbles (Score 1) 54

Not really relevant. That's a canonical example of a bubble. It is incidentally, an exaggerated bubble in many respects. See https://www.smithsonianmag.com/history/there-never-was-real-tulip-fever-180964915/ https://link.springer.com/article/10.1007/s11127-006-9074-4 and https://www.bbc.com/news/business-51311368 (although I find some of the arguments in the second of those not completely persuasive.) But the real key is this isn't relevant: tulips weren't a tech. The point is that tech bubbles can be very different than other bubbles because the underlying good can still turn out (and often does turn out) to have real value and continue to expand. Tulips are like gold or other nice shiny things, (or bitcoin which is like gold or tulips but doesn't even have the advantage of having something to look at) not really the same sort of bubble.

Comment Re:...on the other hand, (Score 4, Informative) 54

Previous tech bubbles have ratched up prices and caused all sorts of issues. The rail boom outcompeted other transport types, increased the cost of coal and iron( vital resources), and completely took away a lot of sources of wood. In parts of the American West, rails took up needed limited water for the steam engines, probably in a way far more serious than that of data centers (which does take up water but is largely exaggerated). The rail boom also prompted tens of thousands of Native Americans to be kicked off their land to make way for rail infrastructure. In the American South, freed slaves were functionally reenslaved and forced to build rail lines. A lot of this is discussed in for example, Wolmar's excellent book "The Great Railroad Revolution." The internet bubble of the late 1990s was in comparison pretty mild in terms of its negative knock-on effects.

Comment Not that different than previous tech bubbles (Score 5, Insightful) 54

This is pretty similar to the "dot com" bubble of the late 1990s, or the railroad boom of the late 1860s early 1870s. Both bubbles had people investing with minimal justification. Businesses which were "Normal thing X but on the internet" got insane amounts of money. And both bubbles popped in ways which were very harmful to the economy. However, at the same time the underlying techs stuck around and became far more common than they were at the height of the bubble. The 1873 collapse took the US about a decade to recover from, but by multiple metrics, such as number of train engines being used, number of passenger miles traveled per a year, tons of freight moved, rail continued to grow with just a small set of blips. Similarly, the internet now is far more extensive and used than even many starry-eyed optimists or hype-obsessed would have predicted in 1998. A tech can be part of an irrational bubble and still be a game-changing technology.

Comment Mars still a better choice (Score 1) 70

Mars is a much better destination for long-term habitation. The moon's gravity is much lower and doesn't have the benefit of even a thin atmosphere. The moon also has very little water and has little in the way of most of the CHNOPS humans need to survive. Mars has all those resources. https://pmc.ncbi.nlm.nih.gov/articles/PMC8227854/ A self-sustaining colony on Mars may be possible but is very, very difficult. A self-sustaining colony on the Moon is essentially impossible. Also, actually getting to Mars is not that much harder than getting to the moon. Once aerobraking is allowed, many launch profiles use only a bit more Delta-V to get from Earth to the Mars than going from Earth to the Moon. https://www.sciencedirect.com/science/article/pii/S0273117725002406 https://arc.aiaa.org/doi/pdf/10.2514/6.2023-72854.

There's also sometimes an argument made that the moon would be a good learning place for eventual Mars missions. But the environments are drastically different with not even the same major risk factors in many respects, so only learn a little bit from a base on the moon. The best way to learn how to live on Mars is to go on Mars.

Finally, there's a decent chance that we'll learn really neat stuff on Mars, including possibly finding extinct life or even current life. There's no likelihood at all that that's going to happen on the Moon.

What appears to be happening in part here is that Trump has a particular interest in going back to the moon because he imagines things the United States did in the past, especially things from when he was a child, as the greatest things ever.

All of that said, this is better than the idea for the in lunar orbit "Gateway" which was an absolute disaster of an idea where it would take extra Delta-V to get too and then more to go then leave and land on the moon. It . Gateway was based on that they had to do something that could justify the SLS even if it made no sense aside form that. So there's that at least.

Comment Re:Why is this portrayed as a bug in the cars ... (Score 2) 134

Because there are both. We need to do a better job tracking people down like this and making it clear that this is not acceptable behavior, since functioning societies rely in a large part on trust of people not being assholes. But there's also a bug in the car here since human bad behavior is probably never going to end: in particular, there should be a manual driving override option so a human can get out of a seriously dangerous scenario. Unfortunately, elsewhere on the internet, there are already some anti-self driving car people who are seeing this as functionally a win for them.

Comment Re:But I thought the phrase went the other way? (Score 5, Interesting) 59

Bari Weiss is right wing? From what perspective? I mean, she doesn’t buy into the Steele Report, supports free speech, and doesn’t think Musk is a Nazi, but that’s hardly “right wing”. Is it? Or does the left wing club require thinking Musk is a Nazi, supporting censorship, and assuming Trump is a Putin super spy?

That Bari Weiss doesn't buy into some of the most extreme ideas of the modern right doesn't make her not right wing, it just shows how utterly off the walls the American right has gone. As for the idea that free speech is a right-wing approach the last year of the Trump administration should make it very clear how much of the right cared only about free speech when it was useful for them. Trying to do things like take away broadcast licenses because one doesn't like what channels have to say https://www.bbc.com/news/articles/c626ye5gq16o is not remotely free speech. And Weiss herself has shown that same hypocrisy which I find particularly, disappointing because she was someone who I disagreed with on some issues but seemed 2 or 3 years ago as a genuine advocate for free speech. And you'll find that I'm someone on Slashdot who had a history of saying that the left had serious free speech issues. But much of her behavior, including her time at CBS, but also her actions at the University of Austin, showed that her support of free speech was only a fig leaf for when she was not in power. Censorship is coming far more from the right right now than the left. Most of the rest of your comment is essentially a strawman of what people on the left generally believe (and I say that as a pretty center-left person who finds much of the left pretty aggravating).

Comment But I thought the phrase went the other way? (Score 4, Informative) 59

I thought the phrase was "Get woke, go broke" but apparently CBS is suffering terrible trouble after it became right-wing. Wow, I guess it wasn't accurate either. And before anyone questions: Yes, CBS has gone drastically right wing since Bari Weiss took over. And this hasn't just been a subtle level of editorial slant but things like pulling a 60 Minutes episode that was critical of the Trump administration https://www.pbs.org/newshour/nation/cbs-editor-in-chief-bari-weiss-pulls-60-minutes-piece-on-trump-deportation-policy-hours-before-air and they killed Colbert's show right after he had an episode critical of Trump and CBS's connection https://www.theguardian.com/tv-and-radio/2025/jul/22/stephen-colbert-trump-cbs-bribe. In fairness to CBS leadership, this may not be as much about their own political beliefs, and about trying to get antitrust approval for the Skydance and Paramount merger. https://en.wikipedia.org/wiki/Merger_of_Skydance_Media_and_Paramount_Global.

Comment Re:AI is not very intelligent and not improving. (Score 3, Interesting) 153

Almost everything about this is just wrong. Let's break it down and discuss each claim.

Parrots sound like they are speaking, but they are merely repeating.

So to start off, this is not an accurate statement about parrots. Parrots can recognize individual objects, individual people, and make requests for specific things. African Grey parrots are the most studied in this regard but they are not the only such. See https://pmc.ncbi.nlm.nih.gov/articles/PMC11196360/. Alex, one of the first African Greys to be systematically studied, had to even be removed from the room when other parrots were being tested because he would sometimes correct them if they got an identification wrong. So, if you are not estimating what parrots can do in the first place, this should already be a pretty large warning sign.

AI has only one single reasoning methodology - prediction based on existing data.

This is accurate. This is also what humans do the vast majority of the time. Prediction based on existing data is incredibly powerful.

AI is not gaining more methods, it is instead just increasing the data. This gives 'better' results, but evolution not revolutionary. Minor improvements at great speed, not major improvements.

I'm not sure what content this has, but in so far as it has content it ignores the vast improvements in benchmarks which certainly look like gaining more methods. The degree to which models today are better than early models is just massive, to the point where many types of tasks which were on standard benchmarks 3 years ago are not even being used on benchmarks today because models match 99% on those routinely. Now, some of that is due to questions leaking, but others are not. For example, one standard thing to use for a benchmark for a bit was the AIME, a standard high school math competition. Using each year's AIME was reasonable because one could be confident it wasn't in the training data. The AIME competition is an invited competition in the US to students who perform well on the ACM competition. The easiest AIME problems should be solvable by any student who is confident with algebra 2 and they get progressively harder. There are 15 problems on a test. For example, here is problem 1 from 2023:

The numbers of apples growing on each of six apple trees form an arithmetic sequence where the greatest number of apples growing on any of the six trees is double the least number of apples growing on any of the six trees. The total number of apples growing on all six trees is 990. Find the greatest number of apples growing on any of the six trees.

By the time one gets to problem 15, one has things like the following:

Find the largest prime number p I've rewritten the problem slightly for formatting here but this was problem 15 of the 2023 AIMEI 1. The other example I gave was from the 2023 AIME 2 (there are two test dates each year. I choose two from different contests here because I was trying to avoid having to put any complicated diagrams in this comment. You can find all the AIME problems and solutions https://artofproblemsolving.com/wiki/index.php/AIME_Problems_and_Solutions to get a better idea of what they all look like. Now, ChatGPT in its early version could typically got correct a single AIME problem at best. Now, the [best models are getting 98% routinely with some scoring 100% every time https://www.vellum.ai/llm-leaderboard. This is not the only example of this. The IMO, the International Math Olympiad, is a proof based international competition, and is the highest level high school competition in the world. Models started off not being able to solve a single problem. Now, multiple models are getting gold medals on the IMO. The Putnam exam is a college level equivalent where some AI systems are now even scoring perfect scores on that https://axiommath.ai/territory/from-seeing-why-to-checking-everything If you want more, Carina Hong who made the first system which could ace the Putnam has an interview here https://www.youtube.com/watch?v=xldMXTPGMGI. If these are all merely improvements in "data" not in methods, then we should recognize the absolute power of increases in data.

The various stories of evil (AI blackmailing people, AI blogging about how people are prejudiced against it for not letting it post, AI being racist) all demonstrate low level thought - not dogs, not rats, not mice, but instead the kind of thing that an insect could do.

Insects cannot do any of those things! All of those require massive amounts of language use. You are confusing morality with intelligence. Unfortunately, one of the serious problems we're facing is that morality and intelligence aren't the same thing.

You can get better results from AI simply by telling it not to guess and to only show results it can back up. That is not something a person has to be told. That is something we do automatically. A well trained dog does that (i.e. drug detection dogs know not to false alert if they are well trained).

So everything about this is wrong. First, humans do this all the time. And telling humans (young children, high school kids and even college students) to think carefully and do things step by step improves their results. Second, drug detection dogs have an incredibly high false positive rates, even the "well trained" ones. Standard estimates are that drug detecting dogs have about a 40% to 75% false positive rate https://www.abc.net.au/news/2018-12-03/fact-check-are-drug-dogs-incorrect-75-pc-of-the-time/10568410 https://www.npr.org/sections/thetwo-way/2011/01/07/132738250/report-drug-sniffing-dogs-are-wrong-more-often-than-right https://pmc.ncbi.nlm.nih.gov/articles/PMC10440507/ Now, part of this is likely due to genuine stray drug scents (e.g. there used to be a drug in a bag and they took it out this morning and the dog is smelling it a few hours later), but that's still an incredibly high false positive rate. Third, the most advanced models don't perform better when told to do this. In that regard, this is just like children who after being told for years to think carefully and not guess have functionally learned to do so.

Slashdot Top Deals

As you will see, I told them, in no uncertain terms, to see Figure one. -- Dave "First Strike" Pare

Working...