How do you define "trying to make it look authentic"? You make a deepfake of a politician saying a discriminatory joke, and the author will just say "It was obvious this was not intended to be authentic. Anyone could see it's out of character". But the message already influenced millions.
I often see this kind of comment on hn. I'm not sure if I'm suffering from confirmation bias, but I do think it's possible that a large proportion of people here think that laws should work like code. What happened is the input, some calculation happens, and the judgment is the output.
But that's not how laws work. In this case, a judge would set some standards, like "would a reasonable person be confused by this", and would rule based on that. It won't matter overly much what the author thinks "anyone could see," but it's also not an entirely objective process with code-like rules. That's just not how most laws work.
That would be nice, and what I woudl expect from judges. But from what I experienced and from what I've seen, real nuanced judgement happens rarely. Most often judges simply lean on technicality, they act like machines, and this is why laws are gamed. People companies who violate certain regulations always comply to the letter, but never to the spirit, and yet they often get a pass or a pocket change fine, why do you think that is?
> ... who use an AI system to generate or manipulate image, audio or video content that appreciably resembles existing persons, objects, places, entities or events and would falsely appear to a person to be authentic or truthful (deep fakes)
> ‘AI system’ means a machine-based system that is designed to operate with varying levels of autonomy and that may exhibit adaptiveness after deployment, and that, for explicit or implicit objectives, infers, from the input it receives, how to generate outputs such as predictions, content, recommendations, or decisions that can influence physical or virtual environments
To me, this definition reads as only including "agentic" uses, or automated decision engines. An image generator does not operate with any autonomy. If you interpret the "input" part loosely enough to include it, then you'd likely include old and simple techniques like seam carving [1], which very few would consider "AI" in the contemporary sense
The law is phrased “real people” which doesnt mean people that exist or are famous but rather people in general. So ai images of people using your product or whatever are real people which have to be labeled.
If it looks like slop, it’s obviously AI. If it looks like someone actually put some effort into it, or if it looks like “real”, then it needs to be labeled because you wouldn’t know it was AI otherwise?
It's always been the purpose of ads, and this is how google was. Then they started making it hard to tell ads apart from content. When OpenAI starts injecting subliminal ads into your responses it will effectively win the manipulation battle and also have full plausible deniability becuase there is not even an algo you can point to.
I'm not sure if they're irrational. Payment/subscription fatigue is a thing. Today it seems like you have to pay to breathe. It's suffocating. I often go through periods where I reject every money ask compulsively, the same way as I would "disconnect".
It's quite interesting how quality of life gets inverted in non intuitive ways. If you travel to a "developing country" you notice you are no longer bombarded with ads. Watching YouTube is close to the premium experience, bc the country presents no ad revenue to Google. You then travel to a "developed" country and you can't watch a 5 minute video without watching 2 ads.
Everything is a transaction, it is too easy to transact. People used to just write, to just make music. Sure, they need to eat, but they lie. You hear people that make insane amouns of money asking for a coffee. imho, writing is a thing you to to share knowledge, to have a conversation, to learn, etc. It is a way to also get people to know you better, and maybe learn about the things you do that they would want to pay for. So unless writing is your full time job, asking money for it leaves a bad taste.
> I'm not sure if they're irrational. Payment/subscription fatigue is a thing.
Payment fatigue is an irrational thing, at least in the context of what a rational economic agent is. Rationally, you pay for what you value, at roughly what it is valued to you, and you don't pay for you want you don't value. Transactions are fatiguing precisely because we are not rational agents. Humans live primarily on emotion and ingrained behavior, with small bursts of applying logic.
It's not the core idea of "fatigue of paying for value" itself but something more akin to "fatigue of keeping track of which things were actually worth paying for, which starts to take more value than you can create with the same amount of time or could get with a few well thought out larger payments". It's usually brought up around subscriptions precisely because they are a lot of work to track but easy to forget.
This does not sound like an accurate description of "rational agents". A rational agent may value something less because of a perceived second-order effect (e.g. "If I accept a price hike, there will be more price hikes in the future"). There's nothing non-rational about that.
In general, the "rational agent" abstraction is so flexible it can represent almost any real-world behaviour (which is why it's a bad model, not that humans are fundamentally irrational in some way).
If it costs the audience something, they're demonstrating their sincerity. So one problem with giving stuff away for free is that you might doubt how much your fans really mean it. Maybe they're just taking free stuff on principle, maybe they're praising you for the pleasure of giving praise, if they don't put their money where their mouth is. Maybe I don't sincerely care about a lot of the free stuff I say I enjoy, it's hard to tell when there's no test of what it's worth to me.
Then again I suppose there's also an opposite sunk-cost effect where a fan feels obliged to insincerely say how great the thing is, because of being literally invested in it.
idk, taking free stuff on principle is not a thing that's done everywhere. Time is costly. Reading crap content costs me more than the money I'd pay for it.
I would definitely pay a monthly subscription to help fund a non profit compete with Anthropic and OpenAI. I already pay subscriptions for myself and 2+ other people. It's a non brainer to be able to pay for the training of better models that I can then run myself for many more. I hope someone starts this, I think this model would work. I'd start it today if I had the team and initial capital to bootstrap the infr. I know VCs won't fund it, but we definitely will, enthusiastically and continually.
Today you could plug this into your agent as a second brain to give it more insight on related topics and ground it's responses when doing research or building products that can benefit from cross polinating between fields.
Also, Software engineering is engineering. Not all software if built through engineering. I'd say today almost zero software is built this way. Figure it out as you go is not engineering. But I'm sure at NASA people are doing real software engineering.
Ok, then there is regulated engineering and unregulated engineering. If you are doing engineering and it's not regulated (for many different reasons) it does not make it any less engineering. Animals do engineering, insects go engineering, it is based on science (empirical), whether they know it or not.
> Animals do engineering, insects go engineering, it is based on science (empirical), whether they know it or not.
I've never heard "instinctively doing things without conscious choice" to be engineering. That opens it up so wide it's meaningless - is blinking to rewet my eyeballs engineering? How about farting to relieve internal pressure?
And "empirical" explicitly means you consciously understand the reasons, so your comment is self-contradictory as well. Basically, words have meanings and you don't seem to know them.
I could be stretching, but to me, this is very conscious and intentional work, perfected through experience and there are many way to get it wrong. What exactly would we call this?
The author is basically saying if you participate in any part of the encryption process, you're deceiving users in saying things are e2e encrypted.
Isn't this conflating encryption with trust? Of course whoever claims to encrypt your data needs to be trustworthy, and whether they actually are is another matter, but If my app allows you to generate a client side key, export it and use it to encrypt data client side and we only get the encrypted data, that is verifiably valid encryption.
I could be malicious and also send a copy of your actual plaintext to the server as well, but that is trivial to check (unless I'm being targeted and I am the only user that gets the malicious code, still, I can check). It's a risky proposition for an organization with vested interest in being seen as pro privacy.
But I get it, different conversation if the government coerces you, and the outcome depends on your bank account and ability to handle pressure.
Absolutely, and the claim is somewhere between nonsense and pedantry bordering on nonsense.
The exact same thing is true for, say, Signal. The provider delivers the client, and they aggressively block non-official clients from participating. So the “ends” in end-to-end are ultimately controlled by Signal. But as long as you trust the Signal company not to insert a backdoor into your client, it’s still true that the company can’t read your texts.
Signal does not aggressively block non-official clients. I constantly use a modified version of Signal Desktop containing a small set of my own patches, and it always works fine. Also, while autoupdate is on by default for the Signal client (and it includes a time bomb expiration to attempt to "force" you to upgrade regularly (removing this is one of my patches)), you are free to turn it off and remove their ability to modify the code on your own system.
Molly has been running just fine as a project for quite a few years at this point. Signal doesn't block them. I think it's fair to say they are fairly strongly opposed to them (for somewhat defensible reasons), but no, they've been fairly nice in allowing other clients.
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