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What is sane about that, if they already own more than they could ever reasonably spend for their enjoyment?

The scorpion shrugged, and did a little jig on the drownings frog's back.

"I could not help myself. It is my nature."

Then they both sank into the muddy waters of the swiftly flowing river.


Same thing that is sane about a paperclip optimiser making paperclips, or a mammal improving its sexual attractiveness

Number go up

Neuron activation


It's called capitalism. Whether that is sane, or individual self-interest without empathy is a trait of sociopaths, i'll leave up to psychologists and historians to debate.

The incentives have to change. Any breach regarding PID should have fines as a percentage of revenue of the company. Any breach intentionally covered up and found out later by a third party should mean jail time for the C level. Yes, I know it is hard to make such laws "foolproof". And yes, in the current political and economical climate it will not happen anyway.

EU has these laws

The doll never learns, though.

I am talking about the value to the user, who is the one 'hallucinating,' not the inanimate object, as that was the concern of note in the parent comment.

> The minimum return policy by law in EU is 14 days.

I do not think that is true for stuff being bought directly in a physical store. The policy is for online purchases.


> LLMs will never be able

That is a very bold claim, unless you meant "current LLMs".


These models aren't really LLMs -- they don't just operate on text tokens. They often include vision models and in some cases audio models. That means that they can better associate the meaning of images and words together so that when someone says "make this button blue" or "create a 3D model of a rocket" they have some level of understanding of what that is and what needs to be done.

The key question is how good that understanding is. For example, a model would likely have a good understanding of various named colours and hex values (e.g. from the HTML specs, X11 specs, and various colour comparison websites) such that it could reasonably correlate that to a CSS entry. It's not clear if/how well a model would identify that given an image, though it should be easy to generate a dataset of image to colour name and/or hex code for training and evaluation.

What's more interesting is whether these frontier models are at their core transformer models, whether they use residual streams to facilitate learning, and whether they are using some other as yet unpublished architecture that gives them an edge.


Again, I was not talking about current LLMs. The statement was made without any limit regarding time. Who knows how far LLMs can get, in the end?

The coordinate system in game scenes is known as "world space", but that rarely means our world.

How do you train an LLM to create a world that only exists in an artist's head?

I think spending a day with just the lighting systems alone would alleviate us of any misunderstandings here. Getting lighting to work right isn't something you can solve by duct taping a vision model to the contraption.


Again, my issue with the statement is not about current LLMs. Who knows if LLMs cannot be a major component of AGI, or even ASI systems. Then the capability to do whatever humans can do is part of the definition.

While I mostly agree, was that really different with googling certain topics, before modern AI?


The big problem that bothers me is the ability for post-hoc justification.

Any interaction with cops will result in them curating your entire digital presence to craft a damning story about how deviant you are, for doing things like googling TNT

Every time they shoot someone now there's an entire media blitz dedicated to how that person once did something bad.


I had to give this thought, but yes.

I could use Tor or Google from the library if I wanted. Maybe I would accidentally leak my paper trail, like the Dread Pirate Roberts (Ross Ulbricht) did. But it was possible.

The AI systems require an account.


I can still use chatgpt without an account. Maybe it will be a limited model, but for discussing/analyzing some topics it still does fine, most of the time. You just cannot code with it.


> You could make the converse argument, too: why don't you borrow and leverage and bet and short these AI companies, if you so vehemently think it's a bubble?

Because going long and going short are very different. For successfully shorting something you need to have a pretty precise estimate of when the crash will happen. Being a comparatively short time off can cost you everything.


Also, the volatility of leveraging positions often costs more than any gain over the long term.

Most look forward to picking up the assets at a heavy discount. =3

https://www.youtube.com/watch?v=rE75WvOtcu8


Yeah, but that applies to the argument in the original comment too. It's supposedly directed at someone who denies we're in an AI bubble, telling them to put their money where their mouth is. But then suddenly they're supposed to risk literally everything they have on "creating a business with infinite growth and value" before their "unlimited" leveraged loans are called in.

Obviously there's some hyperbole there, and I'm not really sure what serious point was being made, but it does seem to depend on the anti-bubble guy having some very confident and specific beliefs...


My point was rather that it is an asymmetric situation from an investment perspective. I am not taking any sides regarding bubble or not.


> Who is building the things and spaces people in 2426 will marvel at?

Maybe they do not believe that there will be a human civilization in 2426.


> when Salesforce invented the CRM for example

Huh? If that was not a joke, here is the history of CRM:

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


> Using it, people that FDR met were impressed by his "recall" of facts about their family and what they were doing professionally and politically.

Hmm. Today that'd be creepy.


Good for the employees, they are organized in a union. This is not so typical for IT workers, at least. Meaning, in most other settings the clown show can continue for quite a while.


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