190 karma · joined July 8, 2017
I feel like living within your means makes sense both ways. Don't obsess materially and go into debt. But also don't obsess about the future enough to sacrifice the best possible present for yourself.
Say I'm a middle man escrow service with an untrusted channel, and trusted A has sold a secret X to untrusted B using me, and B now wants to sell X to untrusted C on my platform. Is there a ZKP way to both make sure B doesn't scam C by sending a fake secret, and C doesn't scam B by saying they received a fake secret? Obviously while me and snoopers never knowing what X is?
The best do it yourself instructions are in a book called Tiny ML.
Compared to super deep transformers, you'll find that deployed WW detectors are as simple as SVMs or 2 layer NNs.
Because if you Google "How many people have died because of Tesla FSD" it seems to be at least 10 according to tesladeaths.com . I also found a strange case of 2 deaths in Texas with no one in the driver's seat a few months ago.
I've made such plots when the input is 2d, breaking the input space into discrete chunks/pixels, having the net classify, and then coloring that pixel according to the classification, and what usually happens is something like what an SVM would produce: large contiguous regions of the same class.
But when the input space is high dimension, and the net is super deep, who is to say what this classification looks like... My guess is it looks less like oil and water carefully poured in a bottle, and more like oil and water shaken vigorously in a bottle.
Do you have any citations about how NNs subdivide the input space, or how regular it is?
The way I have thought of it so far is that we humans subdivide the input space, then stick those blocks into a NN that could have huge Lipschitz bound, and observe the output of a highly irregular function.
When you say "What neural networks do is subdivide the input space and assign a label to it." It sounds more like subdividing the input space helps solve the NNs problem (minimizing the loss). But, it seems to me that that is not so related to minimizing the loss. (Partly because the NN never sees most of the input space during training, and neither is it relevant to what humans want: generalization)
I think the rule for audio papers is linear change in color according to energy?
So this rep may lead us to hallucinate our conclusions?
I think there will be a low power processor that can perform unique instructions that are expensive to simulate on CPUs and GPUs, but is amenable to hashing, and is not too expensive to buy. My guess is something neuromorphic.
The first mWpowcoin could then be born.
I do see a downside that people will have to buy a special chip that has little general utility, but from the rise of ASICs that must be ok.
I know proof of stake exists, but clearly it isn't as popular. People like mining?
Also if Gursky made the photographs downloadable and the printing process was standard then his photos would have a very different price.
Ok though maybe in the future call of duty servers will be decentralized and use blockchain to trade game items...
But I do see now that utility from owning is not the right concept here
In the US market there are some power sellers who say 2 year warranty and get big prices. Meanwhile while I was selling 1 as a non-prof seller I got tons of questions of "can I return it" and "what is the warranty" and two times my item was bid up to the stratosphere by non paying biders. Finally I listed it buy it now only and eventually a no fuss buyer bought it for half the price of the prof-sellers.
My point is, ebay prices don't always tell the whole story.
In textbooks I've seen that stock is a "share of a company's future profits" but seeing as many don't pay dividends it really is more like "share of a company's future perception."
This makes sense. However, it's not "perfect".
If I believe in KAWS and Jeff Koons and I'd like to buy some of their "stock" to resell when I retire, what jpg my shares are linked to are irrelevant. So it's a bit of an inconvenience that I need to invest in stock of an artwork rather than stock of an artist. It's like that in real life sure, but artists should just be doing their own ICOs no?
I could get behind that.
One interesting dilemma for prestigious artists is as their work resells at auction at higher prices they don't get any of the money, except when they go create a new artwork for their higher priced market. A way to fix this could be by the artist always being able to make genesis blocks for past artwork NFTs.
NFTs with image rights would be great for news photographers and paparazzi for starters. Or rather it would be good for lawyers representing them?
For a digital object to be scarce it needs a central authority.
If a digital object is decentralized, it has no scarcity and is worthless.
E.g. a limited edition skin in a game needs the central authority to make it usable in the game. So why do they need blockchain?
E.g. a blockchain piece of data is accessible to all, so why pay for it?
Tho true I heard the Waymo guy took 10GB or something. Lots of pdf schematics
Photographing the screen like Snowden is probably still the preferred method.
I could envision a special new processor, eg something neuromorohic, that can perform unique algorithms at low power that are expensive to simulate on cpus or GPUs. Then if these are cheap enough to manufacture, the mining must be done on the special device to be worthwhile, and then the mining would have tiny energy impact. I would hope it would be a milliwattcoin. It would only take a milliwatt to mine a block and create a coin, but it could still take 10 mins.
Somehow I think there is a contradiction here, but at the same time it sounds alluring.
I wonder if it is fair to say conspiracy theorists "trust in a certain kind of claim"
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Or is it an attack vector for hackers?
Or are people just annoyed at the software on smart tvs?
These days you can buy $200 hd tvs and a mini desktop to run zwift, which is much nicer than using on a mobile device.