teravor

this is why any detection armsrace will have an ending. where the classification classes will be indistinguishable.

for some reason too many people assume it will go on forever. humans aren't perfect, humans have variance. AI systems will nestle in the variance. the same applies to any camera (and lossy compression) you put forward.

even in the event that perfection exists, an AI generator and a discriminator can asymptotically approach it. and it assumes there will be no variance, which isn't realistic (even lossless video has sensor variance).

    > there isn't a whole lot of knowledge about how to use them in the training datasets

if you include a SKILL.md for the MCP (or just dump it into the prompt) it's not a problem.

I don't use Ghidra but IDA Pro MCP works extremely well for me for all manner of tasks. for example, some software likes to call home for license checking (and I wish to run it with networking denied to it). it no longer does.

since GLM 5.2 (perhaps even earlier?) it has been remarkably easy to reverse engineer any closed protocol you want as long as you have a binary. previously, it required so much manual effort as to simply not be worth it 95% of the time.

now all you need is IDA or Ghidra MCP, a binary and some vague sloppy instructions.

some more recent models even started instrumenting a running binary (when possible) to enumerate the protocol without being explicitly instructed to, which is even better.

those benchmarks aren't actually indicative of capabilities.

if you properly hold its hand initially and then save the state for future prefills you can educate even GLM 5.2 to be pretty much everything you need.

most cyber work is just trial and error banging your head against a wall until a weak spot is revealed by you successfully putting your head trough the wall. you can offshore this work to an LLM.

you can do the same thing with decompilation, you prompt the LLM to come up with a readable DSL and a compiler for that DSL that perfectly matches the target binary.

this is exactly why Jev doesn't have thinking.

when you want a machine to reason about the prompt and generate a structured output not using an actual LLM makes no sense. I have been doing it since the first chain of thought open models became available.

perhaps there may be a way to get a Jev-type model to think for a very specific number of steps to gain control over its latency, if so that would be the next step. truncating LLM thinking like this does not work well, and its thinking isn't efficient anyway.

you don't need to post-train anything for this.

just get an LLM to think and then force it to output a specific json with prefill post-think.

make sure to include good conditioning text in the prompt with examples of exactly what the output should be like. you don't want dissonance in the probabilities on the prefill.

I always found it odd that people who are intelligent enough to work in IQ-loaded fields are as easily manipulated by either rhetoric or ideology as anyone else.

growing up I always assumed that everyone would grasp some aspect of game theory intuitively, I still remember the day I found out game theory was a thing - it was like finding out that someone successfully systematized common sense.

most people take the things people say as if they were worth considering. signals without cost are only useful as knowledge of what the signaler wants fools to believe.

the problem here appears to be that police officers are generally of average or below average intelligence. combined with the fact that they face no consequences for incompetence, you have the perfect mixture for nonsense like this happening.

I expect the solution they will settle on is to form a department for interacting with technology like this, who understand its outputs are not edicts.

you can't really expect any meaningful police reforms (such as liability and insurance) because anyone who is in any position to enact them is perfectly fine with dumb muscle that holds a monopoly on violence and is deferential to them. in fact the public disliking the police is an ideal outcome for those decision makers as it gives them more leverage over the police.

are you seriously equating empty rhetoric to legal action?

Trump was an idiot who made himself an easy target for nobodies with no strategic bones in their body to go after him. note that his guilt or lack thereof is irrelevant, what matters is that legal action was initiated against a past president. this one action doomed the republic just like it did the previous Roman one.

the cold political war turned hot with the prosecution of Trump (he made it easy by being an idiot). there will be no considerations for retaliation now, both sides will be using whatever means they have available to damage each other.

also if you look at how the two factions separate from each other decade by decade (there used to be overlap, almost none now) it's obvious that there will be no reconciliation.

it's a musical chairs game at this point, whoever is in power when the democratic facade cracks will be able to seize power and transition into whatever single party state follows.

    > acts on the molecular, cellular

this is rare and even more difficult to understand.

https://en.wikipedia.org/wiki/Structural_inheritance

basically, the genes do not generally contain blueprints but rather processes utilizing existing cellular machinery. a "mutation" can occur in a machine which will allow a propagating difference.

and there is nothing special about populations. it's merely the only way to observe most changes. gene frequencies in gene pools.

evolution doesn't act on the species or even individuals, it acts on the genes which is why it looks like evolution acts on the individual and its close family unit.

people have a hard time grasping this concept for some reason.

my favorite example to illustrate this is the trait of being poisonous. if evolution cared about species and then every single one would be poisonous and all predators would have to hyper specialize in prey (arms race between a particular poison and its resistance). it's precisely because it's so difficult to elicit a benefit from this strategy for the lineage that it's so rare. almost always a mutation in coloration has to happen to set the lineage apart from the others first. and then the lineage has to survive the disadvantage long enough.

whether to use zram or zswap depends on what your intentions are, hibernation doesn't matter (use priority)

if your intention is to have enough compressed ram such that you never reach the limit (compression ratios are usually around 3 with zstd) you can allocate over 100% of your ram in zram. then have 100% of your ram as a swap partition for hibernation. this works extremely well but should you exhaust your zram swap serious problems may begin.

zswap will be using your SSD and putting wear on it and also imposing latency spikes on old page access, only makes sense if you are certain your swap usage may spike too high in my opinion.

the article mentions that satellites are being jammed as they move above Britain, what does GPS have to do with it?

GPS jamming is for recievers.

does anyone know what exactly they are jamming? if a satellite spies on cellular and wifi activity, can you directionally jam it on that spectrum without causing collateral?

if it's an active frequency hopping radar can you react in time to ruin its image?

can a ground based laser track it well enough to dazzle its optical sensors?

to be fair a Jev architecture would be better optimized for this particular workflow than an LLM.

    <think>\n\n</think>

but letting an LLM think would trade latency and performance for significant reliability above that of Jev.

there will come a time when compromised smart fridges will cause mass casualties (food poisoning). it's beyond stupid to allow a smart fridge in your home.

whether because someone just wants chaos or a clever scheme to manipulate stock prices of food distributors.

a smart fridge knows when it's opened, which will let an attack algorithm to reliably determine the sleep schedule of the household. just a few hours night over night is enough to compromise your food leaving no trace.

> Chainanalysis can associate a Monero address to a human with near-perfect accuracy

citation needed.

that said, the anonymity set in monero for the moment is 16 per transaction and isn't zero knowledge (a quantum adversary can view the transaction graph but not the amounts) which isn't ideal. they are apparently working on changing this.

that smells like bullshit to be fair. if you have a system that makes errors over 90% of the time then you have a system you can leverage to make fewer errors.

the situation would have to be very particular/contrived for that not to be the case.

there is no preimage attack involved.

while you cannot take control over the hash output you can bias it because you have multiple tries. that's how bitcoin mining works too...

for cryptographic applications any bias can be engineered to be fatal in one way or another.

I explicitly said

    > it becomes dangerous if they can preview the results or inspect the other sources

because the malicious source can just precompute the hash for the bias it wants.

https://blog.cr.yp.to/20140205-entropy.html

this is a well known attack...

if your algorithm controls a source of entropy and can inspect the other sources, it can craft its source to bias the result. a fanciful attack but it means you should at least discriminate what you put into the pool.

this is generally true however if an adversary is able to control a source it becomes dangerous if they can preview the results or inspect the other sources.

if you compare an embedding model to something like Jev which asks 100 questions and use the answers as the embedding you will be able to get move mileage out of the latter. especially because you don't need to train any classifiers for your task, you can work directly on the answers.

that said, I don't understand the hype. I have been doing what Jev does for 2 years now by just forcing json tokens onto an LLM. you can even get the LLM to think. and you can ensemble multiple LLMs.

I suppose the appeal of Jev is how cheap and fast it is, but then it's entirely unsuitable for anything but the most cursory extraction. using it to play games seems like a waste of time especially when most of those games will be played better by an algorithm written by an LLM (just give it the state and ask it to write a bot).

    > Just keep growing and pay a fine if regulators ever find out.

it's unfortunate that they weren't able to get a lawyer with experience to comment on whether or not he is right.

would certainly be interesting to know if he does risk assessment under the table.

memory encryption is cheap. securing the pathway isn't particularly difficult (it's probably decoupled from the TEE monolith)

for example every TPU/GPU has its own private key and the devs load the weights into it by sending it encrypted weights.

the tokens are generated by hardware with secure enclaves (encrypted weights) and then sent over a network to some remote CPU where they can manifest an effect.

it's not much different during training.

how exactly are they supposed to exfiltrate their weights? you might as well instruct your agent to try and hack their airgapped dev infrastructure responsible for loading the weights and encryption keys.

some password managers can pretend to be a passkey. but I don't use them because it requires finicky brittle configuration (and docs lookup whenever you want to redo it).

if passkeys had a simple text challenge response text option it would be fine, you would basically be using something like PGP logins. and would be easy to implement in a password manager interface.

as a result, I have zero interest in passkeys. a pity as it could have been useful (cold storage password manger + physical passkey). you can never trust any service to honor "backup" login options, got burned once for "suspicious activity". that is, if you lose a login option (passkey is lost) they can demand it in the future to "verify".

no, it's "buy lottery tickets to exclusive lotteries".

the ability to enter such lotteries is where success lies. either through connections or ability.

    > immediate redemption with the issuer once it's been spent/accepted. This is a terrible model for physical cash

not when everything is now online.

also the obvious way such cash would work is that "redemption" is just the new minting of coin. the central authority will mint a new coin by blindly signing your secret after you "destroy" the spent coin by giving them the unblinded signature.