Is San Jose gonna beat San Francisco to having a continuous, high-quality, cross-city bike route?
SF keeps making piecemeal improvements a few blocks long that don't connect, or actually removing parts of its network (Slow Pacific). And when the MTAB asked for a citywide Slow Street network with no gaps, staff basically refused. Something like San Jose's Central Bikeway would be way better. https://sanjosespotlight.com/silicon-valleys-santa-clara-county-bicycle-superhighway-path-central-bikeway-could-be-a-game-changer/
Agreed. Also, I prefer the term 'creative'. To me, 'productive' has been co-opted by economists. And the nice thing about creativity is that everyone agrees that it can't be quantified.
*Today, we live in the ****enshittification end-times****, red of tooth and claw, where media companies' revenues are dwindling and advertisers' costs are soaring, and the tech giants are raking in hundreds of billions, firing hundreds of thousands of workers, and pissing away tens of billions on stock buybacks.*
from @pluralistic (always worth a read; note, emphasis in quote above is mine)
https://pluralistic.net/2023/04/08/late-stage-sea-monkeys/#jeremys-razors
#Google #Facebook #Twitter #socialmedia #advertising #fediverse #marketing
I am really confused in the field of machine learning right now. Like really. This is the field that likes to gate keep other fields who are not "technical" or whatever, and we're seeing papers advertising evaluation datasets that are the outputs of other models.
Like machine translation training and evaluation datasets that are the outputs of other machine translation systems.
What happened to the BASIC concept of not testing on your training set?
Or anything related to learning theory?