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Comment Re:Adversarial patterns FTW! (Score 1) 61

Honestly, AI technology has gotten good enough that those types of things won't fool it anymore. Captchas take longer for a human than it does for an AI model with vision, and the human is more likely to make a mistake.

The point is, sure, their system may suck right now, but if adversarial patterns became common, they're a model update away from fixing it. Might need better hardware on the device, so at most you'll cost them some money, but it won't get us our privacy back.

Comment Re: Not an expert (Score 1) 88

Which I've always hated because it makes no sense. If space itself inflated, what did it inflate into?

There is no such thing as "space", apart from "spacetime.". You can go, "there's a lot of space between our sun and Alpha Centauri" but if you were moving in that direction at close to the speed of light, instead you'd go, "hey, these two stars are super close to each other." Arbitrarily so: you can make them as close as you like, you can put as much energy into changing your frame your reference to make them centimeters or millimeters apart if you want to. Where did all that space go?

You can't really talk about space expansion in the instinctual model we have in our brains as 'space.' That's not "reality" it's a useful model of reality that our brains create to help us accomplish things, but using that to counteract general relativity results *which are testable and have been verified in a variety of ways* is like saying a description of what's going on in CPUs and GPUs don't make sense because it doesn't match up with the video game you're seeing displayed on the monitor. That's an interpretation of states in the computer, in the same way everything you see and experience is an interpretation of reality.

Comment Re:Barn Door (Score 5, Insightful) 165

Do we honestly think we really *know* about all the frontier models?

I think we have a pretty good idea what the capabilities of the most advanced models are. And they're not that great.

This is a really stupid bill, but the one thing about it that I kind of like is that it's going to put a stop to the AI companies trying to inflate their value by talking about how scary their frontier models are, and how they're "going rogue." None of these AIs are "super intelligent" or "going rogue." What you have is a (admittedly really cool) technology that can solve a lot of problems but also is non-deterministic, so makes a lot of mistakes. And you're giving it the keys to do stuff. And then it misinterprets the instructions and fucks up and does something with those keys that it wasn't supposed to. Then instead of admitting, "oh, we engaged in really bad computer hygiene here," they figure, "we can market this, and say it 'broke free of the sandbox and went rogue" to imply that their models are so advanced it had purpose and the will to act.

So now the old politicians who don't understand technology are going, "oh, that IS scary. We're going to ban it," backfiring on their scary tactics marketing campaign. So it will result in them stopping this stupid scary tactics marketing campaign.

Here's the actual situation: you know every story you hear about how a model deleted the entire codebase at a company? If you have any level of computer literacy at all, the reaction you have is not, "oh, using AI as a coding agent is dangerous." It's, "why the HELL was the agent running with permissions to do that?" And if you hear about the OpenAI's agent broke free of its sandbox using an exploit that it found on the database you set it loose on, the question is, "why the hell could it even run executables outside a whitelist of stuff for it to build". it's amateur hour over here, giving a thing that is non deterministic and capable of fucking up the ability to do do anything at all outside a very narrow scope. The models aren't going rogue, they're fucking up, like when you ask it to give you the emoji for a seahorse and it goes into an infinite loop of bad emojis.

Comment Conversations (Score 1) 120

"How did you get hired?"
"I was top at Fortnite. You?"
"Combat flight sims."

"Damn, two Boeings just crashed over an oil refinery on city limits and took out half the city."
"Did you remember to save your position beforehand?"
"Yeah."
"The reload and continue from there. No-one will notice."

I love computer games. I have XPlane 12 and many scenery packs. I rank well on Elite:Dangerous. From the sounds of it, the FAA would see me as over-qualified. In reality? There's no way in hell I'd be taking those kinds of risks with real lives. There's a huge difference between having good reflexes and a good eye, versus having the complex 4D spacetime relationship mental models needed for robust air traffic control.

Comment Re:So i can just post 30TB and get it later? (Score 5, Informative) 66

No. Trying to push 30TB into Freenet will be interpreted as an attack on the network by other peers and they'll disconnect from your peer.

Freenet is better viewed as a communication medium than a storage medium. Data is prioritized according to demand, somewhat like an LRU cache. You can't upload 30TB and expect the network to preserve it for you.

On liability, running a Freenet peer is more like running network infrastructure that automatically routes and caches other people's traffic than intentionally publishing it. US law explicitly recognizes this distinction in the DMCA's provisions for transitory network communications and system caching. We discuss this in more detail in the FAQ.

Comment Re:Just a heads up, decentralized platforms... (Score 4, Informative) 66

You obviously haven't tried Freenet. You can join our room on River and you'll see no spam, no fraud, no hate speech, none of that.

Decentralized doesn't mean unmoderated. Systems built on Freenet can be moderated however their creators and communities want. River is moderated.

The difference is that nobody running one service gets to decide what everyone else is allowed to run.

Submission + - Freenet: Apps Without Platforms

Sanity writes: Earlier this year Slashdot covered the launch of the completely redesigned Freenet. I recently gave a talk about what we've been building since then. Unlike traditional web applications, apps on Freenet have no central server or database, with application state instead distributed across the network. These now include decentralized group chat, publishing, search, and fully decentralized Git hosting. The talk also gets into some of Freenet's internals, including how we use machine learning for network routing.

Comment Re:Need new AI editors (Score 1) 65

You see, Linus has embraced transhumanism and is testing out the new kernel as a supplementary brain function, using MOSIX to offload all of the irritable comment generation at yet more nonsense on the mailing list to an Elizabot that he has written specifically to do this. This saves his actual brain for real work.

Comment Grok is not a useful advisor. (Score 1) 1

AI is not currently capable of performing any meaningful conceptual abstraction, it is only capable of very basic mechanical abstraction. Abstraction is itself multi-dimensional. Nor is there any indication that AI could ever perform multi-dimensional abstraction or multi-dimensional decomposition. Precious few humans are capable of it either, but some can.

No, AI would need humans because the best system is not a pure system but a hybrid system, and that means transhumanism with AI operating as an additional brain function rather than as a replacement for a brain.

Comment Re:Bleagh. (Score 1) 20

Tool calling is, yes, but the current approach to it is (a) overt not transparent to the user, (b) not designed for the purpose I've outlined, and (c) not remotely good enough for the AI to be able to manage data through such tools.

Yes, you can connect an AI to a PostgreSQL database. Whoopee. Not even close to an AI detecting via classifiers that some of the data is relational in nature, transparently setting up its own PostgreSQL database in response, and using that proactively as an additional way to examine the data. You would need to explicitly set up the constructs, explicitly set up the databases, explicitly tell it when, where, and how to use the database, and if that particular usage conflicted with a way the AI actually worked, the AI would not be able to use it effectively. That's not remotely close to what I'm talking about.

What I'm talking about is much, much deeper than that. AIs lose focus when there is too much information currently in the system. Absolutely nothing stops an AI from using a document database as a virtual memory in which it can page in and out conceptual spaces so that the focus on any given step of a problem concerns just the problem. Other than such a concept not existing yet, which is kind of a limiting factor. But you need to know what connects to what. The AI could use an ontology reasoner for that, or a relational database, or an external graph. But you cannot provide those tools and you cannot configure them, for the simple reason that the AI is the only entity with any detailed map of how the underlying neural net is connecting those ideas up.

The AI itself has to select the tools, has to configure the tools, has to do all the work. Which means YOU cannot use any sort of API. YOU should have no involvement in the underlying mechanisms needed for the internal NN housekeeping.

And that's your other error. You're assuming this is about user data. No. It's about housekeeping operations within the NN itself to maximise functionality, it has nothing to do with the user side of things at all. If the user was capable of setting up dynamically structured databases that mutated with each step of a decomposed analysis, you'd have done everything the AI would be doing and you wouldn't need the AI to begin with.

You cannot do this work, you cannot even assist in this work, it has to be dynamic and it has to be utterly invisible to the operator.

Comment Bleagh. (Score 1) 20

We don't need bigger models, at this point. What we need is multi-dimensional decomposition, problem space transforms, and the ability for AI to use external tools (such as SQLite, memcached, etc) so that it can externalise static data that it needs to not corrupt accidentally but still keep in easy access.

If we had that, most of the things "bigger models" will do will actually end up being done better, quicker, with fewer compute resources.

Comment Re:The Pioneer and Voyager probes (Score 1) 38

To be useful in deep space, you're going to have to deal with very harsh radiation, far harder than the Vikings dealt with. You really want to have some large number of computers, where the number has to be odd and exceed 5. The reason it has to exceed 5 is that you need 5 in order to be able to use the Byzantine General's Problem to discern which computers are working correctly and which are radiation damaged. Since some will be damaged over time and you want 5 computers still operating around the time the power runs out, you have to start with more than that.

Massively radiation-hardened highly-robust low-power chips could be done. If you were clever enough, you could do this as a wafer-scale system where you marked parts as bad and networked around them. Free space optical communication across the wafer might be doable.

They might well still end up being low-density CMOS discrete logic.

Lead-lining the electronics isn't as much of a problem if you've launchers capable of handling heavy objects and don't mind burning through a lot of ion drive propellant for course corrections. This would improve the hardening beyond what can be done through the usual operations.

But, yeah, you'd need defect-free microelectronics. You really can't handle F00F bugs or defective instructions once you pass Earth orbit. And I can't think of anyone who knows how to do that.

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