skysight-inc/HackerNews huggingface dataset:
Yes, although the trick is used in the first place in order to replace a 6-cycle division by a 1-cycle multiplication (on x86_64, assuming no CPU stalls). Roughly, in order to still make it a net positive, we have a 4-cycles budget for additional operations. That's very tight for reversing the bits of a uint32_t.
What you're also forgetting is those huge numbers are often from countries where people probably do still watch their siblings die.
I think one of the issues that makes tensors difficult to understand is that different disciplines use the word in different ways. I'm going to generalize here a bit about how each group uses the term, but I suspect not everyone will agree with me. Apologies in advance!

For machine-learning types, a tensor is a multidimensaional array of numbers that admits certain operations (addition, subtraction, hadamard product, etc) [0]

For mathematicians, a tensor is a function F. We pass the function an ordered tuple of N vectors and M covectors (or, to keep things simple, N column vectors and M row vectors), and the function returns a scalar. The function F needs to be linear in each of the N vectors and M covectors. In this view, a matrix is a tensor with N=1, M=1. The operations used by machine learning types arise naturally once you crank the mathematical handle a little bit.

For physicists, a tensor is what mathematicians would refer to as a tensor field. So they take a space X (think R^N), and for each point in the space they associate a mathematician's tensor F as defined above. The properties of the function F are permitted to change from point to point. The Riemannian metric tensor is a classic example of 'tensor' according to this usage.

[0] https://machinelearningmastery.com/introduction-to-tensors-f...
"The trade group also said it is assessing the acceptance of proof of a positive antibody test as an alternative requirement."

This is better than looking for vaccine proof and should come as the primary measure not the vaccine. Somebody who might have just recovered from COVID will have a higher level of antibodies, and have stronger immunity that a vaccinated person. It is know already vaccine protection is known to quickly fade after 3-5 months therefore the push for additional dose.
> Any job a bright self-taught recent high school graduate can get is likely a job they should not take. Many bright young people turn bitter and disillusioned, because they made the easy choice when they got an offer for a real job.

Any examples of this happening? I haven’t seen this to be the case.
Not when it means that simple rotation / cropping evades detection.
Yes it is not new; I read the multiplication trick was described even in 1986, in "The Metafont book" (Donald E. Knuth). (I don't have the book however).

But it does look like the technique was forgotten, or at least not used very often in the past.
What did the naysayers say? That the algorithm wouldn't be able to handle cropping and rotation? Did Apple claim that it would?
Ok, thanks ;)
It sounds perfectly reasonable.

Barring exceptional circumstances, presumably the employer takes the decision to recruit externally for cost-cutting reasons; it's important then that the hidden costs of healthcare etc are not passed on to the tax payer.
> I don't know how the breakdown of society makes itself felt for you

There is no 'safety net' anymore: many things are either closed or handling Corona. This is what I mean by breakdown of society.
Always makes me wonder when people say that about jobs in service and food sector. Isn't those people exactly the ones that spend largest part of their income on those services? So if they earned more they would be first one to spend more... And labour isn't that high percentage of costs anyway...
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Apple's scheme includes operators manually verifying a low-res version of each image matching CSAM databases before any intervention. Of course, grey noise will never pass for CSAM and will fail that step.

The fact that you can randomly manipulate random noise until it matches the hash of an arbitrary image is not surprising.
The real challenge is generating a real image that could be mistaken for CSAM at low res + is actually benign (or else just send CSAM directly) + matches the hash of real CSAM.

This is why SHAttered [1] was such a big deal, but daily random SHA collisions aren't.

[1] https://shattered.io/
How does it compare with Arizona State? Pretty similar?
Personally I use i3 --- there is not default UI though in ArchLinux, there are lots of options though available through the package repos.
> before being forwarded to human reviewers

Does that mean that Apple employs people who manually review images known to be child pornography 9-to-5? Is it legal?
Are your houseplants good for the planet?
Will your Garden-AI explain, document, and footnote everything ? Or will it be a black box that leaves you none the wiser ?
Possibly in some countries increased education spending. Thus in future increasing labour supply. And complaining is pretty cheap...
Continuous overpopulation around the Marmara sea is maybe the main reason - and noone seems to do anything about it except remote-ization due to covid19.
Going Deep with Hadal Zone Expert Alan Jamieson
A lot of comments are suggesting workarounds. This behaviour by Google is atrocious. They are causing massive inconvenience to some people (albeit a very small number) just because they want to show off their nice knowledge panel.

Even one person's life inconvenienced is one too many. People working at Google: where is your conscience? If one of your family member was affected like this by a service provider who you have no control over, how would you feel?
What happened to the arrays of nano capacitors which were a promising alternative?
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Walmart Seeks Crypto Expert to Oversee Digital Currency Push
Taleb deploys Bayes theorem and the base rate "fallacy" [fn] to show that Snowden is more likely to be a traitor than, uh, what he thought before he started studying Snowden.

https://medium.com/incerto/snowden-phony-hence-traitor-86ee4...

It's really as bad as the literal URL suggests.

[fn]: To be fair, the idea that base rate bias is a fallacy is asserted in Wikipedia, so that's not originally his mistake. What base rate bias is, is a misconception that leads us to make poor estimates. It's not a fallacy, since fallacies are classes of inferences and, while there's a lot of debate as to what biases really are, I know of no logician who thinks they are a kind of inference.
Is no one else put off by the tone of this article? The author comes off like some kind of bitter incel who has already decided that all women are bitter, miserable hags that snicker at "nerds". Extremely cringe and a very poor way to try to get your point across.
Minecraft is helping children with autism make new friends (2016)
We have tons of numerical simulations in engineering. Light modulation alone, just 3-5 lenses with different qualities can occupy a modern processor for a few hours.
I think it's the same in France, we call it the "droit du sol".
This may explain why they (weirdly), only announced it for iOS and iPadOS, as far as I can tell they didn't announce it for macOS.

My first thought was that they didn't want to make the model too easily accessible by putting it on macOS, in order to avoid adversarial attacks.

But knowing this now, Intel Macs are an issue as (not as I previously wrote because they differ in floating point implementation to ARM, thanks my123 for the correction) they will have to run the network on a wide variety of GPUs (at the very least multiple AMD archs and Intel's iGPU), so maybe that also factored in their decision ? They would have had to deploy multiple models and (I believe, unless they could make the models exactly converge ?) multiple distinct database server side to check back.

To people knowledgeable on the topic, would having two versions of the models increase the attack surface ?

Edit: Also, I didn't realise that because of how perceptual hashes worked, they would need to have their own threshold to matching, independent of the "30 pictures matched to launch a human review". Apple's communication push implied exact matches. I'm not sure they used the right tool here (putting aside the fact for now that this is running client side).
Woah parsing sql, this seems like the wrong solution. Why not track the lineage at the read layer from the data lake, i.e. have enumerated data dependencies.
> we give up so many indirect benefits ...

So if you make those benefits direct, or have those who obtain value from these benefits pay for them, then you can obtain the true cost of a degree, and the true ROI.
Armon Dadgar (HashiCorp CTO) on startup motivation
This morning I was fortunate to listen to a podcast with Armon Dadgar . Armon is a #Hashicorp CTO and co-founder. I found inspiration in his words to what we do https://privacybunker.io/. The matter is that we are also an open-source security vendor and we are building a standard tool for every company to store customer records and with the highest level of security and privacy compliance: https://databunker.org/.

So, according to Armon, the motivation for #Hashicorp was the following:

In a Pre #Oracle world, every company was building its own database.

Every company that manages any data had to build their own storage engine, their own query engine, their own everything.

This was a huge tax on the entire industry.

But once you have a set of vendors that provide standard SQL solutions, like Microsoft, Oracle, Sybase, etc... then you can build higher-level applications that consume the database.

For us (#Hashicorp), it felt like, where we are with our tools.

When we started, everyone was building their own platform, everyone was rolling its own approach to automation.

Shouldn't there be a set of vendors who sell that for you and you just operate it rather than building it?

Original podcast: https://founderformula.sounder.fm/episode/33

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Instead of each company building its own data privacy and GDPR compliance solution, we provide a turnkey solution for this problem.

Ping me to know more:
https://calendly.com/stremovsky
You can generally approximate the fixed point. You can possibly do this to arbitrary precision, but I'm not sure.

This is useful for practical applications, but it's not the same as knowing the fixed point for mathematical applications.

E.g. you may want to prove that some function preserves the irrational number pi. But you may not be able to prove it, only show that computations make your conjecture more and more likely.
It’s now possible to play early ‘90s CD-ROM games via ScummVM
It can't. No actions are taken on hashes alone. The procedure is, if an account uploads some number of images with matching hashes, those images are verified by a human.

This can attack that system itself, though, by overloading those humans with too much work looking at random noise, but that requires quite a large organised effort. It also requires getting a hold of actual blacklisted hashes, which I doubt anyone has, unless they have actual child pornography.
Google Photos already does this beautifully.
What claim of harm can the OP make? The harm is primarily to other people - they need to sue Google, not the OP.
> they should belong to Argentina by right of proximity.

How does that work? Is it some kind of algorithm? Does the USA have the right to own Canada?
It's not that weird to be honest, if you consider a mockup applicable to 1). Mockups and rough design diagrams should be pretty much obvious and omnipresent. We often start from a visual aid and move on from that level to actual details.
Well, the French settled forst and handed over the islands to the Spanish in 1776 based on the Spanish/Portuguese colonial agreement from the 15th century. For most of the time since the 19th the islands were under British control.

That would be like basing territorial claims everywhere based on borders from 200 years ago. Or worse, picking the borders from a period that suits best. And we are talking about the Spanish Empire here, not modern day independent Argentina.
Or maybe we can just keep building houses until a $2400 salary can afford them their own apartment.
But you can essentially perform DoS attack to human checkers, effectively rendering the entire system grind to a halt. The entire system is too reliant on the performance of NeuralHash which can be defaced in many ways. [1]

(Added later:) I should note that the DoS attack is only possible with the preimage attack and not the second preimage attack as the issue seemingly suggests, because you need the original CSAM to perform the second preimage attack. But given the second preimage attack is this easy, I don't have any hope for the preimage resistance anyway.

(Added much later:) And I realized that Apple did think of this possibility and only stores blinded hashes in the device, so the preimage attack doesn't really work as is. But it seems that the hash output is only 96 bits long according to the repository, so this attack might still be possible albeit with much higher computational cost.

[1] To be fair, I don't think that Apple's claim of 1/1,000,000,000,000 false positive rate refers to that of the algorithm. Apple probably tweaked the threshold for manual checking to match that target rate, knowing NeuralHash's false positive rate under the normal circumstances. Of course we know that there is no such thing like the normal circumstances.
Becomes again, Native AOT is the only way on WinRT since Windows 8, but has been stuck in C# 7 and .NET Standard 2.0, which contributes even more for the little love UWP still has.
Obviously good for Apple to have as an example for rejecting these surveillance pushes from authorities in the future.
Having the ability to report tweets for being misleading is basically useless if nothing happens with those reports.

Currently, you can report tweets for four different reasons. If you report a tweet, then you may - or may not - get a notification later saying that they've received your report. A few months after that - if ever - you might get a notification saying that they've investigated your report.

Twitter support often seems to decide that even flagrant violations of their rules [1] are completely fine, taking no action. More rarely but equally unsatisfyingly, occasionally the notification says that a breach was identified, and action was taken on the concerned account. Then it provides a helpful link to the account, so that you can see that it's still up, with all the relevant tweets available, and currently posting exactly the same kind of threats.

In common with other social media platforms, the problem is not that users lack sufficiently precise tools to report tweets as belonging to narrowly-defined categories. The problem is that Twitter ignores those reports.

[1] https://help.twitter.com/en/rules-and-policies/twitter-rules
That this tech is sufficient to spy on the population, but insufficient to defeat even basic evasion.
> You can't clone a NFC card from RF alone

You imply that it is possible to clone NFC cards with other means. Is that really possible? Crypto chips are usually hardened against all kinds of attacks, and I would assume that NFC cards are resistant to cloning even if you have physical access to the chip. I'd be curious to learn more about that if my assumption is incorrect.

Regarding replay attacks, do you have a source on that? I would assume that even offline POS terminals would use a nonce to prevent replay attacks. Is that assumption incorrect?

And finally, you can extract card holder name and card number from most cards just by looking at them. Claiming that NFC cards are somehow worse than mag stripe cards in that regard is just FUD.
Perhaps EFF could at least advise.
Are you pinning your hopes that a false positive like this will be appropriately caught because of an army of faceless, low wage workers who stare at CSAM cases all day will immediately flag?
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Arithmetic coding is much, much simpler. And decompression speed is not a limiting factor in most applications of data compression like this.
People are also "car-native" these days. They know how to drive (actually many don't anymore).. But people have no idea how a car works, and can't do anything.
Did Apple use the bad images to train the neural network? If yes, I suppose that makes this possibility more realistic.
It is hidden for the user. Obfuscation doesn't work. They probably just called the private API to generate a hash on a jailbroken phone. There's even a link to another piece of software that can do just that, only on macOS.

https://github.com/KhaosT/nhcalc
According to the interview with the author of the site (https://www.inverse.com/article/53414-this-person-does-not-e...), they're unique per page visit.

As for copyright, who knows. No legal precedent that I know of.
And then dark energy is more than 2x that. Apparently we only have a good explanation for 5% of the total (normal matter we can see).
Now this offers Apple a very delicate opportunity to back out of the whole scanning controversy due to technological vulnerabilities.
I don't exactly disagree with you, especially since from a quick search the name as mentioned by OP seems to be really common but the Googlebot is apparently fishing for info all over the web in a way that's guaranteed to create conflations. I don't think this is a nice thing to show off for them, it seems really amateurish.
They were unsettled for a quite a while in between. There never was a true native population like native Americans or the various African peoples. The Falklands are a bunch of rocks being settled by various European powers and claimed by as many, they are since the 19th century a British territory aimed by Argentina. In a sense the British there are natives.
That doesn't sound like a very good precedent. Steal someone's wallet, throw away a single coin, and now they no longer have any claim over it and it's rightfully yours?
I created a hype coin to show how risky an investment can be
It should be possible to just heat the 1l of water in a kettle and in a pot using gas, and compare the electricity and gas consumed.

Time-wise I'd think it's quite comparable, in my experience.

This of course depends on sizes and quality of kettle/pot. Wide pot, with large surface area and a quality heatspreader on the bottom will get the water boiling more quickly. Also covering a pot is a must.

Sometimes when I'm in a hurry I split the water between a pot and el. kettle, to get a boiling 2l of water faster, and there's no huge difference in time to boil.
> From the people who want to control public discourse

So, Facebook?
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Pretty sure the Google algo would feature a isHumanDisplayed() for the photo's that would qualify.
I doubt someone who is able/wanting to attack such a system would be unwilling to own some of the material themselves.
With the right algorithm you can turn any certain string of bits into a certain other string of bits. So is the image in the data, or is it really in the algorithm?
"Verified by a human" - and that human will be an overworked, underpaid, overseas subcontractor who may well have an incentive to mash the "Confirm match" button from time to time to improve his performance.
Are you saying that minimalism is weird because you don't value it?

I can't see any other point you are making.

To me, being an adult who has to plaster their rooms in printed images of children's toys to have a sense of well being sounds like a version of hell but I don't care much that you do it because I don't have to ever go inside your house.

So, I'm happy you like your Lego posters. I don't think many minimalists are too bummed out at the concept that some person somewhere likes a bunch of posters.

But it's not much of a critique of minimalism in general.
Yes indeed I’m curious of how many tweets will be reported and who select what to do with these reports. And if behind the decision there is a human or a ML algorithm.
Why Alibaba’s sexual assault scandal is no MeToo moment
Lower power density implies larger size, which implies higher cost. Since the parts outside the reactors themselves (the turbines, generators, heat sink, etc.) will be similar, this means a fusion power plant will cost more to build that a fission power plant.

The other problem is that size is also related to reliability. A fusion reactor will have many more parts than a fission reactor. It will also be much more complex, and operate at higher radiation and thermal stresses. This is particularly important because it is very difficult to repair something that is so radioactive that hands-on access is not possible.
That assumes that the human review process is competent, your own images aren’t poisoned in some way (consider your own kids in the bath with some noise added) etc.

In the mean time they lock your account which means your entire digital life stops dead until their review process is done.

No way do I accept any of this.

Also the hashes are on the device I understand and it’s not going to be that difficult to extract them.
"Investing in housing is GOOD" but speculation in housing is very bad. Having anyone middle class or lower completely priced out of home ownership because the upper middle class want "a safe investment" or "the real estate market is HOT HOT HOT" is not good for society no matter how you want to spin it.
This is a broadly meaningless PR stunt.
I usually argue for Apple, but in this case I fully agree with CSAM hate.

This isn't Minority Report.
If I refresh the page twice in quick succession, the same image comes up. By refreshing on my pc/phone at the same time, I managed to get the same image come up too. So it's probably seeded by time.
not as bad as yours, but Google did this to me too. I contacted them several times, they finally acted on it three weeks later.
> It also requires getting a hold of actual blacklisted hashes, which I doubt anyone has, unless they have actual child pornography.

I've never personally seen or looked for any images like this, but if they weren't already proliferating online and widely available to criminals, why would we need to build an elaborate client-side scanning system to detect and report people who have copies of them?
More important than this is being at the mercy of your computer if you use windows. Let's say you need to fill up some form by a deadline, transmit plans of a kyber crystal driven device or whatever the heck you want but need to wait until Windows gives you back control of the PC while it finishes setting up an update?
But both the employer and employee are tax payers! There's nothing uniquely expensive about taxpaying employees that happen to be born overseas.

I'm guessing the prepaid contribution refers to the "NHS surcharge": https://www.freemovement.org.uk/what-is-the-immigration-heal...

(while Americans are probably going "hey that looks cheap at £624 a year compared to my insurance", note that it's not insurance and you still have to pay it if you have private cover)