1,861 karma · joined February 1, 2013
It’s way better than automated skinner boxes that pretend to be games...
Word choice? "Egregiously" means "Conspicuously bad or offensive." [0] The context suggests you intended to say "adequate for the purpose," for which "competently" is the correct term.[1]
Somebody get $100M and start recruiting all these great professors academia can’t handle....
It’s disappointing to see this celebration of an amazing technical achievement devolve into a contentious meta-analysis inspired by the USA’s broken politics.
The really annoying thing is that I agree it’s a good thing to have more accurate withholding and smaller refunds. They just screwed it up for political reasons.
All this could have been avoided if they just required employers to get updated W4s instead of defaulting to misinterpreting your existing instructions.
Recommend you submit a new W4 ASAP.
Maybe one day you’ll decide it’s time for kids, and both you and your partner decide to head back to the EU for that. Or maybe you’ll raise kids in Thailand. Or maybe your partner will get an amazing opportunity somewhere else entirely and you can be a stay at home parent, making beats while the kids are at school.
It’s your life. Live it the way you want. Don’t worry too much.
According to the release blogpost [0], "SQL Support [...]is an improved version of the elasticsearch-sql plugin."
Sounds like they are building on it, as you suggested.
[0] https://aws.amazon.com/blogs/aws/new-open-distro-for-elastic....
[0] https://aws.amazon.com/blogs/aws/new-open-distro-for-elastic...
Not a bad idea really. The problem is that it turned super predatory. Facebook just wants engagement at all costs. It’s not a tool for managing your life, it’s a tool for someone else to profit off it.
Use case: I create an account using using a Yubikey on my desktop, then want to access that account from my mobile phone using a fingerprint. How does the website know I'm the same person?
Keybase has a nifty personal web-of-trust for this stuff, but (A) that ties you to a single strong identity and (B) you can't really use that identity outside of their services.
2) still don’t see the connection to the Internet Archive.
3) isn’t CDL covered by the Exhaustion Doctrine / First Sale Doctrine? [0]
[0] https://en.wikipedia.org/wiki/Exhaustion_of_intellectual_pro...
Don't bring a sniper rifle to a combined-arms fight, I suppose. It's interesting & typical of modern war that the politics of the fight constrain the weapons choice much more than the tactical situation.
1) sell me apps (desktop, mobile),
2) let me sync the content via my choice of providers (dropbox, iCloud, google drive, my own WebDAV server, etc)
3) Let me manually enter a strong password/key in all of my clients to E2E the data, so I don't really need to trust that sync provider.
I like this:
> Design is open for supporting PGP, Salty, Keybase, and whatever else in the future.
> Note: Systems like that don't carry enough information. Just because you verified that someones PGP really belong to them, doesn't mean you trust their code review judgment. But the identity/singing system could be reused.
Expectancy control (early memories): “[...]Every night over the next week, set aside about 10 minutes before bed [...] to log on to this website to write about an early memory.”
Positive placebo (positive early memories, in addition to rationale above): “[...] Every night over the next week, set aside about 10 minutes before bed [...] to log on to this website to write about an early positive memory.”
Three good things (Seligman et al., 2005): “[...] log on to the website daily for seven days to list three things that went well on that day and why they happened.”
Using signature strengths in a new way (Seligman et al., 2005): “This exercise consists of two parts. You will take a questionnaire that gives you feedback about your strengths. This will take about 45 minutes. The next day you will be asked to use these strengths in new ways every day for one week [...]”
So regardless of whether the specific exercises are uniquely useful, it seems like it's valuable to make yourself focus on the positive stuff.
Do more clustering.
Label more training data.
Strip out more garbage.
Label more training data.
PS you can get an idea of how much value additional training data will give you by training models on various subsets of your dataset (e.g. 10%, 20%...), evaluating them against the same test dataset, and plotting the results.