Yeah, working from home for four years now and I only have one office and desk. It's used for work, of course, but also when I'm writing for my self, or playing video games with my friends.
I don't have any problem disconnecting from work, but it probably helps that I have a different computer for work that goes in a drawer at the end of the day.
I do follow points 2 and 3 though and I think those are essential.
Yes, the models are not constantly learning. They only update their knowledge when they are retrained, which is pretty infrequently (I think the base GPT models have not been retrained, but the chat laters on top might).
False. Every time you transfer money from an account at one bank to another you're using ACH. Same with moving funds from banks to stock brokers or brokers to banks.
The real reason it doesn't compete is its slow, and many banks have terms of service that say something like "You can only set it up between accounts you own" so sending to other people is often technically a violation of your agreement with a bank.
Looks like their big robot round up is about 9 months old, but they have single model reviews as well.
Edit: A little bit on why I like this review channel:
A lot of gadget reviews I read nowadays about household products are like "I like this robot it did a good job cleaning. Sometimes got stuck but not too bad."
Vacuum wars is like: "I worked 500 g of fine sand into our test carpet and ran the robot for 5 minutes. It picked up 362 g of sand which is 32% better than the average for this category and the best of the current robots that I've tried. Now, on the artificial hair test, the rotors tangled after just 50g which is a poor result for this category... "
He's set up a testing suite. He runs all of the vacuums through it. You can compare the results. It's how reviews should be.
Because the same two numbers (routing and account) are used to deposit money AND debit money.
So if you post your account numbers I can pull all your money out. Now you'll likely get it back if you file a fraud claim, but that's an extra Hassel, and your out finds until they give you a provisional credit.
It depends on the company and the role. In general, I would be prepared for some white boarding questions, although I've found they're generally "a little easier" than the ones the engineers whine about.
I found the OSX specific XDG section helpful, because I've been setting it to ~/.cache for years! Good to know there is a better way that the OS understands (a bit a least).
Pre-compute the recommended hotels for my top users every night. Now when that user comes back, they see a slightly stale recommendation, but it's lightning fast.
You can also pre-compute and cache some of the inputs cheer model, like maybe a vector representation of the description of a hotel.
That's my experience as well: apt is only "slow" in that sometimes it has to download and write gigs of stuff to disk.
Now brew and conda, they often take minutes to solve for the environment, which is what I think of when you say "slow". That part is probably mostly algorithmic, and it should be fast, unlike network and disk.
At my company, Type A are called "Data Analysts", but at Google Facebook they're called "Data Scientists". Type B are "Data Scientists" at my company, but "Machine Learning Engineers" (or SWE-ML or some other combination) at Google and Facebook.
As a Type B, at my company, I'm on the same pay scale as the SWEs. The Type As are not.
It is a nightmare! I just finished fighting with it this weekend.
The controller only officially supports ARM 32, and the mongoDB dependency only supports ARM 64.
In the end I I used a 64-bit Ubuntu, 64-bit mongoDB from the mongoDB repo, and downloaded the controller deb from the Unify site, which is apparently architect agnostic.
Really simple stuff, compared to the self watering plants, etc.:
- AdGuard Home DNS (Pi Hole was just not stable for me)
- Unifi Controller
- Torrent box (come get your Linux distros!)
- Always on platform to host various scripts on; one backs up my blog to Internet Archive when it changes, for example.
- Twitter bots that report the RPi status (just went down for reboot, etc.)
- Bot that watches Caltrain for delays and Tweets them to me.
- Platform to play around with orchestration, DevOps, etc. I learned Ansible using them. Still want to move it all to Docker, but that'll have to wait.
I've run into the same. It often would come back from a reboot without DNS restarted correctly. I never went through a Pi Hole update without having to manually fix things either.
A few weeks ago I switched to Ad Guard Home. Has been rock solid since. The big dancehaus it doesn't support the exact same filter files.
> Every great open source math library is built on the ashes of someone’s academic career.
From William Stein, lead developer of the computer algebra system, Sage: http://wstein.org/talks/2016-06-sage-bp/bp.pdf