And this precision data can then in turn be used to map localized terrain movements due to volcanic activity, mining etc. using high precision GPS. I think some of these can detect (in the long term) movements of as little as a few millimeters!
It's quite fun area, I used to work in related technologies. Some of the countries maintain their own networks, but there are also commercial networks - so called reference stations that provide RTK/Network-RTK, basically your GPS can be augmented with a model based on those reference stations (which are ground GPS/GNSS receivers with very well known position) and improve accuracy to even 1cm (based on differences from your GPS position vs positions in network compared to well known positions).
- nftables is default to `ip` family which only applies to IPv4. Setting it to `inet` will allow rules to apply to both IPv4 & 6; or `ip6` for IPv6 only. You can skip NAT rules, usually.
- dnsmasq: in addition to DNS and DHCP, turns on router advertisement with SLAAC. Some devices can get IPv6 address from stateful DHCPv6 server, others (e.g. Android) only work with SLAAC.
Random thoughts: one can get user's ssh public keys from GitHub on the fly (from `https://github.com/<username>.keys`), so that it requires a valid GitHub account to use this service, without (extra) auth process.
The time at which scalpers buy tickets becomes irrelevant. They can resell tickets at arbitrary-high-price + margin because buyer know they will receive refund for the exceed amount, thus pay only (final price + scalper margin) for the ticket eventually.
Bonus: buy ticket from scalpers after price settled, you will get a determined price, no more guessing and find inner peace.
The problem for scalpers is that if they buy too many tickets, the final price may become too high to be attractive for real buyers.
In the mug-scrubbing video, the person clearly pretends to wash the cup but does not seem to want to get their hands wet anyway. I'm curious as to when models can figure out that subtle thing.
It's all probabilistic, my guess. I.e. model produces probabilities for a set of actions from the same video. Even pretended action may look more like it than anything else. Thus getting higher probability.
You want that to still work so that the human can demonstrate an action without putting themselves in the path of a danger to squishy human bits that the robot is safe from.
Did you try scancode map registry[1]? I use it to swap Ctrl/CapsLock and it works well even with RDP softwares and run-as-admin apps which PowerToys couldn't handle.
The whole post is on base on the fact that "TW" in their URL. But I think this is really just a internal implementation detail of Google Translate, which is not intended to display to users (e.g. complete hidden on their app). Everywhere on their UI shows "Chinese (Traditional)". That is what they try to communicate with users.
Sure, zh-TW is somewhat misleading. But they nor say that parameter is a ISO 639 or RFC 5646 conformed.
