I’m using ”Commercially deployed” in the context of ”company you interacted with had an AI represent them in that communication”. You don’t use AI for that to increase costumer satisfaction. (I wonder why I haven’t seen any AI products targeted at automated B2B sales?)
I won’t argue that GenAI isn’t useful for end consumers using it properly. It is.
(As an aside, I hope you and your grandfather get better!)
But why use money to innovate when there is profit to be made and laws are just made up?
AI is the new kid on the block, trying to make a dent in our society. So far, we don’t really have that many useful or productive deployments. It’s on AI to prove it’s worth, and it’s kinda worthless until proven otherwise. (Name one interaction with a commercially deployed AI model you didn’t hate?)
So far, Apple is failing with consumer products, Microsoft is backing off on GPU-orders, research showing commercial GenAI isn’t increasing productivity, NVDA seems to cool off and you expect the benevolent commercial health care industry to come to the rescue?
Yeah, I’ll keep my knee jerk reaction and keep living with my current socialised health care.
LLM training is expensive, so are prompt ”engineers”. This will be the cheapest off-the-shelf LLM they can find, prompted by someone’s nephew. People will be eating glue.
Look, this is the reason people pay RedHat money. Go install Rocky Linux, turn on all the automatic updates and ignore it for the next five years.
On the enthusiast side, NixOS seems to be working fine if you want newer versions of software or larger repos.
Used to? It’s standard practice like everywhere.
I guess we can formulate a law:
Pick any two.