JB_Dev
Joined 4 years ago
Joined 4 years ago
But come on … these guides really are for learning purposes. Doesn’t seem like a big deal to me at all. They aren’t even hosting it, just pointing to kaggle who is hosting it.
On principle copyright law should allow this kind of learning use case anyway.
I really don’t buy this requirement to always deploy state changes 100% globally immediately. Why can’t they just roll out to 1%, scaling to 100% over 5 minutes (configurable), with automated health checks and pauses? That will go along way towards reducing the impact of these regressions.
Then if they really think something is so critical that it goes everywhere immediately, then sure set the rollout to start at 100%.
Point is, design the rollout system to give you that flexibility. Routine/non-critical state changes should go through slower ramping rollouts.
I don’t really buy this requirement. At least make it configurable with a more reasonable default for “routine” changes. E.g. ramping to 100% over 1 hour.
As long as that ramp rate is configurable, you can retain the ability to respond fast to attacks by setting the ramp time to a few seconds if you truly think it’s needed in that moment.
It’s showing the actual capabilities in practice. That’s much better and way more illuminating than what normally happens with sales and marketing hype.
I would much rather give to charities focusing on countries that don’t have the economy/ability to fix their basic issues.
It’s also incredibly common for road conditions to still be shared over AM - you see this a lot while driving with all the “advisory - tune to …. AM” signs everywhere.
In fact if you do this as a nonprofit or at an educational institution in a teaching context it’s explicitly allowed by fair use already.
If you do it individually, idk I’m not a lawyer. But it should be allowed on principle.
But if you then go take your trained AI and deploy it for commercial purposes that’s a different story and should have protections for the original rights holders.