monkeydreams
Joined 9 years ago
Joined 9 years ago
Even if the worst happens in the AI market some uses will still remain. Far fewer, I suspect, than will be demand the computational capacity of all the DCs popping up everywhere.
The goal of LLM's, as they are marketed now, is to drive engagement and stickyness of products. A wrong answer is brushed off with a "Hey, you're right, let's try that again" - a response purposely designed to maximise the friendliness of the system and minimise the sting of a wrong answer. The fact that an LLM will not respond to the same question in the same way twice (i.e. the 'temperature' ) is because increased accuracy will not drive engagement and, therefore, increased accuracy cannot be allowed to get in the way of engagement.
But it was amazing for those of us used to black and white/green/amber screens in DOS. You could put an image as your background. And it stayed there, lurking behind your word processor or spreadsheet, to spring back into your vision whenever you finished up your work.
When Windows 2000 rolled around and I saw how stable it was, I went out and bought it to put on my gaming PC. Another friend from work laughed at me and told me how terrible "Windows NT" was for running games until he saw how smooth Starcraft ran on it.
Yeah, Windows 95/98/ME were terrible.
Certainly I could not watch this in one, unbroken, session without interruption.
... having said that, isn't it funny just how much gun violence there is in the one developed country that allows for open slather gun ownership. It's like, yes, you can never stop a determined person from doing violence, but by reducing the availability and power of fire arms you do stop a lot of fools from doing "mass shooter" levels of damage.
This is a great experiment. Do some world building offline about Smergle the Keen finding the Hoopla of Kynashiusous. Then ask ChatGPT what reagents would have been more effective in breaking through the borantiastic door than squeeble stomach juices.
Of course we know the answer - it will either drop into a 'I have only been trained on data before blah blah blah' or 'I cannot talk about current world leaders' or 'I have not been trained on your hackneyed and unpublished romantasy saga, why don't you tell me about it?'
On the other hand, if it is aware of the general concepts of your concept, and has bridging concepts for related topics it has been trained upon, it might try to apply the general concepts to a specific but different scenario.