Risk management kills any attempt at bold choices, decisions are steered at the modelable and the low risk. There space is thus shrunk. When there were fewer media behemoths there were more variations on the risk models and the pattern was less descernable.
This is the real reason the ultra rich are buying media companies. They expect the existing copyright laws to prevail in court and to either make significant revenue licensing IP for training or to take large stakes in AI companies in return for the IP.
I only use the free tiers of any particular app. It forces you to really think about you want the tool to do as opposed to treating it as the 'easy' button.
There's nothing at all wrong with Wikipedia but it needs sources to cite since it doesn't allow original research and the World Factbook is an important one.
Duckdb is wonderful. I have several multi-TB pipelines that I moved over from spark and dask. It's so much easier to think in terms of knew machine that gets it's resources used efficiently instead of distributed/cloud processes. It even let me take some big data things back to on-prem from aws.
Probably never. The tunnels cost a lot to build but, once built run almost for free - they're powered by gravity and will keep running for close to a century before major maintained is needed.
It's a generalization problem. We can train LLMs that 'know' a lot of stuff in the global sense but the tasks that are interesting to people require the LLM to know a lot about you and your world in a very specific sense. The technical problem is that it's all corner cases and that's impossible to scale right now. No amount of context window is going to get you there either.
Because if there us a nursing shortage there is opportunity to 'supplement' existing nurses with AI and thus transfer more wealth to the very richest among us
I mean yeah, it was kinda obvious that they busted an ad fraud sim farm but needed to pad that resume for the bosses. There's no glory in "just" fighting fraud right now.
The military postal code system is seperate from the US post office's zip code system. Often (and easily!) conflated but actually operating in parallel. Made even more confusing because many U.S. based entities can be reached in both systems.
I've worked in 2 of those domains (I was a geographer at a web advertising company) and let me tell you, the data is only slightly better than the median industry and in the case of the geodata from apps I'd say it's far, far, far worse.