Perhaps? But a confounder is the strengthening or weakening of social ties. It's not clear that what seems to increasing loneliness is doing well by this next generation.
Connecting your comment to another about commercial model, seems the potential win here is selling useful tools to radiologists that may leverage AI rather than to end customers with the idea to replace some radiology consultations.
This seems generally aligned with AI realities today: it won't necessarily replace whole job functions but it can increase productivity when applied thoughtfully.
The mechanism that can shift supply to less polluting sources of electricity and shape demand for computation/electricity is pricing.
Measurement, pricing and reducing pollution externalities is a major challenge, but I don't think that's as unknown of a problem as the article seems to suggest.
Timely but I dare ask: I need to rework my thinkpad, still in good shape but with an older ubuntu distro. Reasonably fluent linux user but not expert, primarily dev workflows - what's the recommendation?
- Before 35: Mostly ubuntu, latest version (install after a couple of months of general availability)
- After 35: ubuntu LTS versions (install after a couple of months of general availability). Since 16.04 I've been on LTS only; should have done that earlier.
unless you really need a very new version of a piece of software, the safest bet will always be the latest LTS version of Ubuntu. You could perhaps just upgrade your laptop OS with the software package GUI?
Fun fact: You don't really need to install any of the "flavors" of Ubuntu to get the various desktop environments (KDE, GNOME, Cinnamon, etc.), you can just install them as a package! (`apt install kde-full`). You can switch between them when logging in.
Start with goals. “With all this stuff I hope…” or think what you hope to be true in three years. Work back from that. The default (which is great if you like) is I’d like to spend a lot of time shuffling digital resources.
One nice improvement is applying a constraint. Bard will now give a valid answer for "give a swim workout for 3000m" that correctly totals 3k, while chatgpt does not.
GCP organization structure is such a breath of fresh air after dealing with AWS. AWS Orgs and all the complexity with VPC and DNS management at a scale of hundreds of accounts is just a complete pain in the arse. GCP makes it far easier with Shared VPC and org/folder/project structure.
