GamingChairModel

joined 3 years ago
[–] GamingChairModel@lemmy.world 4 points 57 minutes ago (1 children)

Google's AMP was supposed to stop this, but they never could get around the conflict of interest between "our search engine experience is improved by prioritizing fast loading results" and "our ad business needs websites to carry a ton of ads," ended up carving in enough exceptions and an anti-AMP backlash that they pretty much walked away from the whole thing.

[–] GamingChairModel@lemmy.world 1 points 20 hours ago

I'm also waiting to see how Linux support for the A-series chips develops, now that the MacBook Neo has A18 Pros running MacOS. There are people working on tools to allow Asahi's m1n1 bootloader to work on the Neos. Unclear how much of that effort will ultimately be upstreamed to Asahi itself, but I'm hopeful.

[–] GamingChairModel@lemmy.world 3 points 20 hours ago

Most CPUs implement a strategy called "race-to-sleep," where it throws all the resources it has at a computing task, to finish it as fast as possible, so that it can hurry back to a low power sleep mode.

For that reason, optimizing speed often improves battery life.

[–] GamingChairModel@lemmy.world 3 points 21 hours ago

Technically these are all System in Package (SiP) rather than systems on a chip (SoCs). It's not cost effective to waste silicon area on things like memory and storage in the latest and greatest TSMC nodes, so they have several different silicon dies that they connect together using advanced packaging techniques, but where each silicon die in that package might come from a different foundry/process.

[–] GamingChairModel@lemmy.world 45 points 22 hours ago

Not exactly, the bootpicker just won't show partitions that are not flagged as bootable. This is a departure from previous versions, that would check to see whether partitions were bootable without looking at the flag, and took a little bit of investigating to figure out this undocumented behavior, but it is an easy fix:

https://asahilinux.org/2026/06/progress-report-7-1/

[–] GamingChairModel@lemmy.world 1 points 1 day ago (1 children)

Somewhere along the line someone is going to have a password that is their favorite sports team followed by their anniversary. Someone will reuse the same password over and over including a site with exploitable security flaws.

None of this is new, and none of this has destroyed the feasibility of electronic payments. AI has nothing to do with any of it.

The ability to conduct fraud, hack websites, and hijack accounts has always been around. The systems we've built will always assume that occurs on a regular basis, and are resilient against needing to address this reality. How does any of this prevent electronic payments from being processed?

[–] GamingChairModel@lemmy.world 1 points 1 day ago (1 children)

You're really mixing up a lot of stuff

I don't think I am. I'm just describing a broad definition of property, as a descriptivist/positivist argument, observing that this broad definition already applies in most modern legal systems.

For instance, the fact that something can be sold doesn't mean it's a form of property.

If we want to get into the philosophical underpinnings of what rights do or don't qualify as property, I'm just describing the legal frameworks that already apply. Pretty much anything that can be sold (or leased or licensed or conveyed in a will) counts as property. Lots of these rights are intangible, including the broad sets of rights under patent, copyright, trademark, and trade secret law that we describe as "intellectual property."

Property, by its nature, includes the right to exclude others from enjoyment or profit that arise from that property. And it doesn't require the consent of the excluded. Some argue that the concept of property itself is theft, for that reason.

But libertarians generally support strong property rights, and I'd argue it's consistent with that view to support strong intellectual property rights (whether administered by a government or not).

[–] GamingChairModel@lemmy.world 1 points 1 day ago (3 children)

That SEO slop article is simply wrong on the math of cryptography, and relies on an example of the one time pad not being used only one time. Either way, the interesting thing about the OTP is that you cannot prove that any particular plaintext exists, so the nonsense about trying to infer any particular plaintext from the encrypted text. Frequency analysis doesn't help when there is no correlation between different bits of the key, the same way that flipping a fair coin 10 times reveals nothing about what it will likely be on the 11th flip.

40 and 56 bit encryption keys are obsolete as they are now easily broken. 128, 192, and 256 are the standard now. 512 bit encryption is being played around with.

You might be tricked into believing that a 512 bit key is twice as hard to crack as a 256 bit key. No, a 257 bit key is twice as hard to crack, and a 512 but key is 2^256 (1.5 x 10^77 ) times harder to crack. So if you can crack a 256 bit key in 1 second, a 512 bit key would take 3,672,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000 years to crack using that same technique. Or, if you can crack 1 million 256-bit keys in a second, go ahead and take 6 zeroes off the number I just listed.

Throw in developments in quantum computing

Good luck with that. Quantum computers aren't anywhere close, and more importantly, have nothing to do with AI.

AI isn't going to make cryptography obsolete.

[–] GamingChairModel@lemmy.world 1 points 1 day ago (3 children)

Indeed most of your examples are not property.

All of them are property, technically. Including contractual rights (which can be bought and sold). And plenty of these intangible rights don't arise from contract. How much of the world's land is owned by people who trace their purchases/inheritance to an original owner who was granted the land by a government or royal family no longer in power? Including through conquest and wars ended by treaties (of questionable consent when you consider the coercion and duress that losing a war creates). The consensual transactions downstream from that system that nobody today consented to don't actually limit the legal power of that ownership.

the most important thing about contracts is that they're voluntary, and negotiated between the parties

That's true of contracts, but not true of all the rights that can get transferred around from contracts. Some governments gave homestead rights transferring land to anyone who built a house on that wilderness. How is that conceptually different from a king-granted monopoly to someone who invented something for the British Navy?

And then there are other forms of rights. If you crash into my house and I sue you, I might win a court judgment ordering you to pay me a certain amount of money. You didn't consent to that, but you owe it just the same. And that right to payment can be sold, and is considered property as well.

People hold out intellectual property to be something unusual and different, but really it's not that different from accounts receivable and stocks and bonds and leaseholds and licenses and other forms of intangible property.

[–] GamingChairModel@lemmy.world 2 points 2 days ago (5 children)

Any cryptography can be broken with enough computing power and time,

This is wrong. A one-time pad is provably secure against an adversary with infinite time and infinite computing power.

And there isn't infinite time or computing power. The math means you can use keys that can't be cracked before the heat death of the universe, using even as many transistors as there are atoms on earth.

There will always be vulnerabilities and patches. I wouldn't count on them actually breaking trust forever. And AI doesn't have anything to do with that general statement.

[–] GamingChairModel@lemmy.world 1 points 3 days ago (5 children)

Everything you're saying also applies to non-tangible property rights generally, which includes property rights to land (and the accompanying rights to airspace above that land or mineral rights in the ground), and rights like:

  • A first round draft pick in the 2031 NBA draft
  • A noncompete agreement where your CEO agrees not to work for a competitor for 12 months after working for you
  • The right to a window view of the ocean, to restrict your neighbors from building something too tall
  • A ticket to enter a music festival and sit in first come, first serve seats in the grassy area
  • The right to kick out a person from your restaurant that is otherwise open to the public

Each of these are enforced by some kind of adjudicatory body (which we can call a law and a state if you'd prefer). But that would be true of anything like a copyright or a trademark or the right to one's image/name.

And so we're still basically talking about how strong the right to property or the right to contract is, and what types of rules/rights will not be enforced by the courts, and which will. Some types of contract terms are unenforceable, and some property rights are limited.

Can you imagine somebody asserting rights over the cider you made with the apples he sold you?

What about someone asserting rights to the apples you grow on the land they've leased to you? Or asserting rights to the water that flows across the land they sold to you? That kind of stuff happens all the time.

The fact is, libertarian doctrine is generally in favor of a strong rights to property and contract, and that's why many libertarians are strongly in favor of strong IP rights.

[–] GamingChairModel@lemmy.world 2 points 3 days ago (7 children)

AI can't be smart enough to break math.

No amount of AI processing can draw a triangle whose angles add up to more than 180°, factor a prime number into integer factors, find the square root of a negative number without using imaginary numbers, etc.

If the protocol and the cryptography is secure, no amount of smarts can overcome that security. If something is insecure, someone will probably figure it out (with or without the help of computers and AI) and take advantage of it until it's patched.

 

In recent years, I've seen people use projectors at night to protest policies: projecting slogans, images, etc., using a normal projector against the wall of the target of a protest (embassies, government buildings, prisons/detainment facilities, corporate headquarters, etc.).

Here's an example, but I've seen lots of other examples. And even outside of protest, people have been doing ridiculous things with 3D projection, like this guy animating a hotel cuck chair (SFW).

This got me to thinking: if the image recognition of Flock and similar cameras is just an AI image recognition function (using ImageNet or something like that) being run on captured video, what's stopping people from projecting false data onto streets and sidewalks in a way that tricks the Flock camera into recording false people/vehicles in places where there was no person/vehicle? Including fake license plates, etc.?

Seems like an attack vector for some kind of denial of service attack, like putting fake faces and license plates all over.

Is there anyone doing this? Would it be possible, at least at night, for certain camera locations and angles?

 

(Note: McSweeney's is a satirical publication)

 

I've read some of Ed Zitron's long posts on why the AI industry is a bubble that will never be profitable (and will bring down a lot of companies and investors), and one of the recurring themes is that the AI companies are trying to capture growing market share in an industry where their marginal profits are still negative, and that any increase in revenue necessarily increases their costs of providing their services.

But some of the comments in various HackerNews threads are dismissive, saying that each new generation of models makes the cost of inference lower, so that with sufficient customer volume, the companies running the models can make enough profit on inference to make up for the staggering up-front capital expenditures it took to build out the data centers, train their models, etc.

It's all pretty confusing to me. So for those of you who are familiar with the industry, I have several questions:

  1. Is the cost of running any given pretrained model going down, for specific models? Are there hardware and software improvements that make it cheaper to run those models, despite the model itself not changing?
  2. Is the cost of performing a particular task at a particular quality level going down, through releases of newer models of similar performance (i.e., a smaller model of the current generation performing similarly to a bigger model of the previous generation, such that the cost is now cheaper)?
  3. Is the cost of running the largest flagship frontier models going down for any given task? Or does running the cutting edge show-off tasks keep increasing in cost, but where the companies argue that the improvement in performance is worth the cost increase?

I suspect that the reason why the discussion around this is so muddled online is because the answers are different depending on which of the 3 questions is meant by "is running an AI model getting cheaper over time?" And the data isn't easy to synthesize because each model has different token prices and different number of tokens per query.

But I wanted to hear from people who are knowledgeable about these topics.

 

Curious what everyone else is doing with all the files that are generated by photography as a hobby/interest/profession. What's your working setup, how do you share with others, and how are you backing things up?

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