Generally not a fan of geohot, but this is pretty possible, especially once self driving tech becomes available through suppliers like mobile eye / Bosch/ continental etc. (it’s possible it will stay a Tesla / Waymo duopoly but I doubt it)
That has two causes, dependency on natural gas, which would be worse without renewables and taxes, which is unrelated to renewables and related to general policy goals of reducing energy demand.
Also even in a European context UK power prices aren’t as high as many of its peers.
I grant you pipelines are the best bit about ado, but the fact that you can’t test them is a pain.
And the webhooks and templating are pretty messy and unpleasant quickly.
We’re changing from ADO to GitHub (had to be an MS product for corporate) and the infra people are looking forward to GHA as they prefer their maintenance to ADO pipelines.
IBM might not have a data strategy or AI plan but he isn’t wrong on the inability to generate a profit.
A bit of napkin math:
NVIDIA claims 0.4J per token for their latest generation
1GW plant with 80% utilisation can therefore produce 6.29 10^16 tokens a year.
There are ~10^14 tokens on the internet. ~10^19 tokens have been spoken by humans… so far.
We pay well. Very well in fact. We’re a small company though.
I have a harder time hiring here than at my previous position with a much larger company, even though my current employer is superior to my old one in every way except for brand recognition.
And from others in this space (who have at times tried to recruit me) this is not a problem unique to my company.
If in the end we can just have .spy on some files that have performance critical functions in them and the rest is just normal python, this could be down right amazing.
We recently swapped out mypyc optimised module for a rust implementation to get a 2-6x speed up, and not having to do that would be great.
I’m pretty sure it’s smartphones and aging society.
I’ve been gathering data on the natural experiment that occurred due to differences in proliferation of smartphones across countries. The sex surveys aren’t consistent but that is a very strong factor. Look at the hockey stick curve in the paper here.
The rest of the decline is (in my evaluation) best explained with the increase in average age of the 18-64 year old demographic.
The thing that is often missed is that with high taxes and resulting high labour cost, you get high productivity. Simply because low productivity is not profitable.
This results in bad service, high quality goods and strong utilisation of capital goods.
But as others have noted the wealth disparity is increasing thanks to new policies and low interest rates leading to asset inflation.
As someone who sees the outcome of people losing everything to sophisticated scammers/ fraudsters and thieves and how little authorities are able to do, nah, the overreach is not in sight.
There are more criminals than abusive IRS agents. And usually when people tell me stories like that, there is more to it..
I’ve used the reverse. When making a new module I’ve let the llm make up an api and I’ve used the names suggested as inspiration of what might come natural to others, to make the use more intuitive.