Absolutely needed: to get high efficiency for this beast … as it gets better, we’ll become too dependent.
“all of this growth is for a new technology that’s still finding its footing, and in many applications—education, medical advice, legal analysis—might be the wrong tool for the job,”
Bold assumption.
Historically AI always got much better. Usually after the field collapsed in an AI winter and several years went by in search for a new technique to then repeat the hype cycle. Tech bros want it to get better without that winter stage though.
The spice must flow
Each winter marks the beginning and end of a generation of AI. We are now seeing more progress and as long as there is no technical limit it seems that its progress will not be interrupted.
Historically “AI” still doesn’t exist.
Technically even 1950s computer chess is classified as AI.
That’s part of why they installed Donald Trump as the dictator of the United States. The other is the network states.
The issue this time around is infrastructure. The current AI Summer depends on massive datacenters with equally massive electrical needs. If companies can’t monetize that enough, they’ll pull the plug and none of this will be available to general public anymore.
This system can go backwards. Yes, the R&D will still be there after the AI Winter cycle hits, but none of the infrastructure.
We’ll still have models like deepseek, and (hopefully) discount used server hardware
Yeah, I think there was some efforts, until we found out that adding billions of parameters to a model would allow both to write the useless part in emails that nobody reads and to strip out the useless part in emails that nobody reads.
I want my emails to be a series of noises that only computers can hear and communicate with