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Comment Re:LLMs can't explain themselves (Score 1) 36

One issue with the overall architecture (which is just statistical prediction) is that it can't really provide useful insights on why it did what it did.

I think you're describing the models from a year ago. Most of the improvements in capability since then (and the improvements have been really large) are directly due to changes that have the AI model talk to itself to better reason out its response before providing it, and one of the results of that is that most of the time they absolutely can explain why they did what they did. There are exceptions, but they are the exception, not the rule.

It's interesting to compare this with humans. Humans generally can give you an explanation for why they did what they did, but research has demonstrated pretty conclusively that a large majority of the time those explanations are made up after the fact, they're actually post-hoc justifications for decisions that were made in some subconscious process. Researchers have demonstrated that people are just as good at coming up with explanations for decisions they didn't make as for decisions they did! The bottom line is that people can't really provide useful insights on why they did what they did, they're just really good at inventing post-hoc rationales.

Comment Apply Betteridge's Law (Score 3, Insightful) 16

And the law of large numbers. Statistically, there will but patch clusters, the same way there are clusters of every other random-ish event. The fact that one happens to occur right after Microsoft promises a commitment to predictable patch schedules means not just nothing the but opposite. Any commitment to doing better means that they recognize they haven't been doing well enough, and obviously it's not possible to do significantly better immediately; changing processes takes time, and observing the effects of those changes takes even longer.

So, no, this cluster of patches doesn't tell us anything in particular beyond what we already knew: That emergency patches are relatively common.

Comment Re: Mac OS has already started to pester me (Score 1) 62

"quantum resistant forever" is too strong.

I've only taken fairly general master's level courses in quantum information and regular cryptography, but I agree with this overall sentiment. My math professors used to say that no asymmetric encryption scheme has been proved unbreakable; we only know if they haven't been broken so far. Assuming something is unbreakable is like saying Fermat's last theorem is unprovable — until one day it's proved. So to me "post quantum cryptography" is essentially a buzzword.

Yes, but... I think you're confusing some things. We're talking about AES, which is a symmetric encryption algorithm, not asymmetric.

Of course, no cryptographic construction has been "proven" secure, in the sense that mathematicians use the word "prove", not symmetric or asymmetric. Asymmetric schemes have an additional challenge, though, which is they have to have some sort of "trapdoor function" that mathematically relates a public key and a private key, and the public key has to be published to the attacker. Classical asymmetric cryptography is built by finding a hard math problem and building a scheme around it -- which means that a solution to the math problem breaks the algorithm.

Symmetric systems have it a bit easier, because the attacker doesn't get to see any part of the key or anything related to the key other than plaintext and corresponding ciphertext (though the standard bar is to assume the attacker has an oracle that allows them to get plaintext of arbitrary ciphertexts, i.e. the Adaptive Chosen Ciphertext attack, IND-CCA2). And the structure of symmetric ciphers isn't usually built around a specific math problem. Instead, they tend to just mangle the input in extremely complex ways. It's hard to model these mathematically, which makes attacking them with math hard.

In both cases, we are unable to prove that they're secure. When I started working on cryptography, the only basis for trust in algorithms was that they'd stood up to scrutiny for a long period of time. That was it. Over the last 20 years or so, we've gotten more rigorous, and "security proofs" are basically required for anyone to take your algorithm seriously today... but they aren't quite like "proofs" in the usual sense. They're more precisely called "reductions". They're mathematically-rigorous proofs that the security of the algorithm (or protocol) is reducible to a small set of assumptions -- but we have to assume those, because we can't prove them.

For most asymmetric schemes, the primary underlying assumption is that the mathematical problem at the heart of the scheme is "hard". Interestingly, there is one family of asymmetric signature schemes for which this is not true. SLH-DSA, one of the post-quantum algorithms recently standardized by NIST, provably reduces to one assumption: That the hash algorithm used is secure, meaning that it has both second pre-image resistance plus a more advanced form of second pre-image resistance. Collision resistance isn't even required! This is striking because we actually have quite a lot of confidence in our secure hash algorithms. Secure hash algorithms are among the easiest to create because all you need is a one-way function with some additional properties. And we've been studying hash functions very hard, for quite a long time, and understand them pretty well.

This means that one of our "new" post-quantum asymmetric algorithms is probably the very strongest we have, not only less likely to be broken than our other asymmetric algorithms, but less likely to be broken than our symmetric algorithms. If it were broken, it would be because someone broke SHA-256 (which, BTW, would break enormous swaths of modern cryptography; it's extremely hard to find a cryptographic security protocol that doesn't use SHA-256 somewhere), and unless that same research result somehow broke all secure hash functions, we could trivially repair SLH-DSA simply by swapping out the broken hash function for a secure one.

This is an entirely different model from the way we looked at cryptography early in my career. SLH-DSA doesn't have decades of use and attack research behind it. Oh, the basic concept of hash-based signatures dates back to the late 70s, but the crucial innovations that make SPHINCS and its descendants workable are barely a decade old! BUT we have a rigorous and carefully peer-reviewed security proof that demonstrates with absolute mathematical rigor that SLH-DSA is secure iff the hash function used in it is secure.

So... a relative newcomer is more trustworthy than the algorithms we've used for decades, precisely because we no longer rely on "hasn't been broken so far" as our only evidence of security.

As for AES, the subject of the discussion above, there is no security proof for AES. There's nothing to reduce it to. There are proofs that it is secure against specific attack techniques (linear cryptanalysis and differential cryptanalysis) that were able to defeat other block ciphers, but those proofs only prove security against those specific attacks, not other attacks that are not yet known. So for AES we really do rely on the fact that it has withstood 20+ years of focused cryptanalysis, and that no one has managed to find an attack that significantly weakens it. That could change at any time, with or without quantum computers.

SLH-DSA, however, is one that very well may be secure forever, against both classical and quantum attacks. The security proof doesn't even care about classical vs quantum, it just proves that any successful attack, no matter how it's performed, provides a way to break the underlying hash function. Therefore, if the hash function is secure, SLH-DSA is secure. It's an incredibly powerful proof, like many proofs by contradiction.

Comment Re:Fuck This and Fuck Them (Score 1) 48

I don't like ads either, but I do like that they (at least for now) have a paid tier with no ads. If there was an option to use google services at some paid tier, without being part of their ad network, I'd probably pay it. But there isn't and llm is as good as search these days (in many cases anyways) so I'm happy to jump ship. Piss off, google.

Comment Doubt (Score 1) 18

Trump in his first term was willing to go all-in on human spaceflight to mars...until he realized he couldn't get it done before the end of his term. Trump has always been interested in space stuff...but only if it's achievable within his term. This seems like a play to keep contractors employed and skills sharp until the next administration is seated, which will hopefully be willing to invest in goals longer than 4 years.

Comment Unfort. e'ryone picked an opinion/side two yrs ago (Score 2) 36

Unfortunately everyone picked an opinion two years ago, when AI was genuinely garbage beyond some basic bash scripts or a top 1000 bug/question on stack exchange (which mostly overlap). AI started getting really good in Dec '24, particularly spring '25 and by August 2025 even the $20/mo tier of chatgpt was starting to get legit as OpenAI started to try catching up with (now market leader) Anthropic and their blessed claude code. The 4.5/4.6 models released this year are nothing short of incredible, and the Qwen 3.5 series of models are right behind the state of the art models. Google is doing some stuff too but I'm kind of done giving them my money.
 
In 2-3 years we'll have found all 20,000 top reasons LLMs hallucinate things and solved for 95% of them
 
Creatives rallied against LLMs but as has been proven, nobody actually cares about making funny pictures of , they just want to know that they can.

Comment Re: Lol (Score 2) 18

I even wonder why they haven't done it much sooner.

We didn't have good ion thrusters back in the 50s, 60s and 70s and after that launching nuclear reactors into space was considered a bad idea, not without reason. A nuke plus ion engines isn't a slam dunk either, ion engines produce very little thrust and reactors are heavy even if you don't have to bother shielding them much, so there's an efficiency threshold you need to hit before it's worthwhile.

NASA has realized that beating, or at least competing with, the Chinese to a moon base is probably going to require a reactor, so why not demonstrate it as part of a drive too?

Comment Re:Specific impulse (Score 1) 42

the original formulation of relativity and physics in general did not distinguish between rest mass creating gravitation and light speed particles generating gravitation

Maybe you have access to some early draft notes of Einstein's, but in his actual papers on relativity mass does not "create gravitation." Energy, momentum and some off-diagonal terms like stress and pressure gravitate. There is no mass term in the stress-energy tensor, nor anywhere else in the Einstein Field Equation. Mass is not fundamental in relativity, it's a property of a system. That property is the product of energy and momentum (and the other stuff) in particular configurations within the system so in many situations it can be used as a surrogate for the underlying energy, momentum and other stuff.

Physics prior to relativity did indeed say a lot of different, confusing things about mass, gravitation and light speed particles.

Comment Re:Death by milestones (Score 1) 42

"Creating fusion" isn't hard. Kids do it for science fair projects. Here's a guy on Youtube making a fusion reactor.

Making a fusion reactor that produces more electricity than it uses is hard. That's what you're thinking of. Rocket engines famously do not usually produce electricity, and if they do they do it extremely inefficiently, so it's a completely different problem.

Comment Re:Specific impulse (Score 1) 42

we don’t have massless drives

Reactionless drives. A massless drive would be an engine that didn't have any mass, I guess. We have lots of drives that don't involve throwing mass out the back, including solar sails, magnetotorquers, electrodynamic tethers, flashlights, etc. Hard drives have a few. Your car has at least one big one and a bunch of others besides, as does your body. None of them are reactionless though.

Reactionless drives are called that because they violate Newton's third law, which is really a statement about the conservation of momentum.

Comment Re:Simultaneously Paid For And Became the Product (Score 1) 95

Based on the cost of products from China vs the price of products made in China but sold by non-Chinese companies, I'd say the price well more than covers the cost of everything for practically any product where they also choose to display ads.

They just want more, more, always more.

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