Earlier quoted context omitted.
Right away my mind went to "well, are people more reliable than they used to be?" and I'm not sure they are. Of course LLMs aren't people, but an AGI might behave like a person.
Older people are generally more reliable than younger people.
Beliefs that are true for regular software but false when applied to AI
151–160 of 461 posts
Re: Beliefs that are true for regular software but false when applied to AI
#15270 years ago we were fascinated by the concept of converting analog to a perfect digital copy. In reality, that goal was a pipe drea!m and the closest we can ever get is a near identical facimile to which data fits... But it's still quite easy to determine digital from true analog with rudimentary means. Human thought is analog. It is based on chemical reactions, time, and unpredictably (effectively) random physical…
This is all true. But digital audio and video media has captured essentially all economic value outside of live performance. So it seems likely that we will find a "good enough" in this domain too.
Re: Beliefs that are true for regular software but false when applied to AI
#153For a real world example of the challenges of harnessing LLMs, look at Apple. Over a year ago they had a big product launch focused on "Apple Intelligence" that was supposed to make heavy use of LLMs for agentic workflows. But all we've really gotten since then are a couple of minor tools for making emojis, summarizing notifications, and proof reading. And they even had to roll back the notification summaries for a w…
I'm happy they ate shit here because I like my mac not getting co-pilot bullshit forced into it, but apparently Apple had two separate teams competing against each other on this topic. Supposedly a lot of politics got in the way of delivering on a good product combined with the general difficulty of building LLM products.
Re: Beliefs that are true for regular software but false when applied to AI
#154Re: Beliefs that are true for regular software but false when applied to AI
#155Earlier quoted context omitted.
It's a sci-fi thing, think of it along the lines of "What do you mean Skynet has gone rogue? Can't you just turn it off?" (I think something along these lines was actually in the Terminator 3 movie, the one where Skynet goes live for the first time). Agreed though, no relation to the actual post.
This sci-fi thing goes as far back as the 1983 movie WarGames, where they wanted to pull the plug on a rogue computer, but there was a reason you couldn’t do that: McKittrick: General, the machine has locked us out. It's sending random numbers to the silos. Pat Healy: Codes. To launch the missiles. General Beringer: Just unplug the goddamn thing! Jesus Christ! McKittrick: That won't work, General. It would interpret…
Re: Beliefs that are true for regular software but false when applied to AI
#156For a real world example of the challenges of harnessing LLMs, look at Apple. Over a year ago they had a big product launch focused on "Apple Intelligence" that was supposed to make heavy use of LLMs for agentic workflows. But all we've really gotten since then are a couple of minor tools for making emojis, summarizing notifications, and proof reading. And they even had to roll back the notification summaries for a w…
Not only Apple, this is happening across the industry. Executives' expectations of what AI can deliver are massively inflated by Amodei et al. essentially promising human-level cognition with every release.
The reality is aside from coding assistants and chatbot interfaces (a la chatgpt) we've yet to see AI truly transform polished ecosystems like smartphones and OS' for a reason.
Re: Beliefs that are true for regular software but false when applied to AI
#157Earlier quoted context omitted.
I'm happy they ate shit here because I like my mac not getting co-pilot bullshit forced into it, but apparently Apple had two separate teams competing against each other on this topic. Supposedly a lot of politics got in the way of delivering on a good product combined with the general difficulty of building LLM products.
I do prefer that Apple is opting to have everything run on device so you aren’t being exposed to privacy risks or subscriptions. Even if it means their models won’t be as good as ones running on $30,000 GPUs.
Re: Beliefs that are true for regular software but false when applied to AI
#158The most likely danger with AI is concentrated power, not that sentient AI will develop a dislike for us and use us as "batteries" like in the Matrix.
To me, the greatest threat is information pollution. Primary sources will be diluted so heavily in an ocean of generated trash that you might as well not even bother to look through any of it.
Now most of the photos online are just AI generated.
Re: Beliefs that are true for regular software but false when applied to AI
#159The most likely danger with AI is concentrated power, not that sentient AI will develop a dislike for us and use us as "batteries" like in the Matrix.