It was having teams that gave a shit about the customer, it was putting the customer above all else, and it was going home feeling like you worked on something useful and good.
That was because there weren’t enough engineers back in the day. Then everybody went into learn to code, visa programs got scaled up, the after covid boom faded and the market became flooded enough to be employer owned.
I’d rather go back to raspberry pi levels of compute with BBS style text only sites.
Seems that way. Next up is licensing fees for printing certain models. Basically they’d like to get as far as when Picard says “Tea, Earl Grey, hot” the replicator says “Brought to you by Lipton. Taste good, feel good. You have 49 remaining replicator credits.”
The one you hear a lot is buying physical precious metals. But keeping that stuff at home is kinda risky and renting a vault isn’t free either.
You voted for running the country like a business, you get businesses in your back yard.
Oh, it’s the old “Calculation is futile. You will be… approximated!”
In the end it’s a word generator that has been trained so much it uses facts often enough to be convincing. That’s its basic architecture.
You can ask it to give a confidence level to have an indication of how sure it is of the answer.
Now I’m wondering when Trump is going to rename a month
Almost all companies deploying generative AI don’t see their revenue change significantly. AI is not the money maker people claimed it was going to be.
It needs AI, but not LLM. A simple neural net for recognising expressions, what is still AI, runs on a phone.