I guess I just see this exact argument being made all over the place, so I’m a little weary of it. But this article is one of the best iterations of it that I’ve seen.
476 karma · joined January 23, 2013
I guess I just see this exact argument being made all over the place, so I’m a little weary of it. But this article is one of the best iterations of it that I’ve seen.
> But its "aligned" so might understand
> Using this information it decides to hack
I think you're anthropomorphizing LLM's too much here. If we assume that there's a AGI-esque AI, then of course we should be worried about an AGI-esque AI. But I see no reason to think that's the case.
It seems like it's trained on entire soundwaves. I'm curious if you'd get a better result by training it on transcribed MIDI and then taking the output MIDI and plugging it into VST's.
Seems like you would still get that "central brain" compositional approach without the garbled sound quality and unidentifiable instrument noises.
As in, the more people drive to a destination, the less pleasant and convenient it is to walk the same route, and the more attractive driving becomes.
I think, also, the more driving you do in general, the more it feels like the default.
Here are some potential solutions anyways.
Some of these would be unpopular, but we could consider;
1. National standardization of zoning (like Japan) 2. Federal funding for local rail instead of highways (this would probably be the biggest one) 3. Municipal incentives for densification 4. Federal laws regulating the lobbying power of neighborhood associations 5. Beheading local gentry at the guillotine before inevitably being placed in its open maw ourselves (vive la révolution!)
Having lived in one of those cities as a low-income resident, a medium-income resident, and now a high-income resident, I assure you that the high income residents do much less for these cities than any other group. And no, taxes do not make up for it.
Secondly, Canada, whose real estate markets have been even more seriously disrupted by authoritarian regimes across the Pacific Ocean, have already placed outright, albeit temporary, bans on citizens of those regimes from parking their capital in the domestic real estate market.
Your characterization of my argument is specious and straw-man-esque. You are assuming that globalization is a given, that borders are always porous, that neoliberalism is the only way of looking at the world. I am kindly inviting you to reconsider your point of view, in light of evidence that it has made housing more unaffordable for the many Americans, disrupted their livelihoods, and dissolved their communities.
Or you can keep making colorless jokes to yourself about the property markets on Mars, up to you.
If SV and SF allowed for the construction of additional housing, there would not be a downstream housing crisis in Denver, Austin, etc. The policy decisions of a handful of city councils of the suburbs on the West coast has had a huge impact on these cities -- and has indirectly displaced residents, disrupted local economies, and pushed many people into homelessness.
Housing policy in major economic zones in the US is a national issue, and should be treated as such.
This doesn't even touch on the wider problem of income inequality itself.
If we're being completely honest, the average American would be much, much better off if SV had never produced a single unicorn.
Curious to hear your take on that.
https://climate.nasa.gov/climate_resources/305/graphic-when-...
> I DO expect that short-haul public transportation would suffer a significant decline in ridership, as it would be outcompeted by driverless cars.
My contention here is “outcompeted.” Ultimately, this is a policy decision —- at least in the United States. In regions where there is both existing rail and highways, there might be good conditions for a competitive market to exist between the two. But, that competition will also rely on energy pricing and EV availability, as well as policy decisions. As you mentioned, density is a huge factor. However, there’s not sufficient evidence that self-driving cars can solve the congestion that comes with low-density.
In short, there’s far too many factors to make a big prediction about the fate of either at large.
In general, my contention is with those who tout self-driving as a transformative technology that will turn our congested highways into high-speed infra, and all with a higher degree of safety than existing cars. We don’t know any of that.
We do know that short-haul public transportation can work very well.
In other words, are they actually going to deliver the long-haul, end-all-be-all transit solution that many of its proponents imagine they will? Or is it just a nice-to-have feature that will make driving a little safer and a little easier for some people? And if so, is that value really worth the incredible amount of effort that's gone into making it a reality?
EDIT: or just drive, as you do now.
2. There is no indication that we will be able to produce lithium-ion batteries with a high enough wh/kg density to create high enough energy storage capacity to replace carbon-based energy sources. Until such a time as that technology becomes possible and production-ready, we will need other sources of energy.
Not building nuclear with the assumption that grid-scale battery storage will become feasible is a potentially catastrophic policy decision.
What do you mean "we can't wait that long?" Any time we start reducing emissions is better than never. There will never be a "too late" point to reach net zero.
Secondly, what is the alternative to reducing our carbon outprint in 10 years?
Here's what I recommend: start with a specific topic -- maybe HashMaps, Graph Problems, Dynamic Programming, Greedy Algorithms, whatever. Start with the easiest problem on Leetcode for that category and work your way up to a "Hard" problem in the same category. It helps build a mental "muscle" for that type of problem, and it will be easier to activate that "muscle memory" whenever you have to brush up on Leetcode again for your next round of interviews in the future.