228 karma · joined January 28, 2012
[ my public key: https://keybase.io/mooreed; my proof: https://keybase.io/mooreed/sigs/-i_S91JTQoy0oMr_WirgBLVZbD3IkaN2cPV8HjcqUb0 ]
However, after a VERY short perusal, I grew a giant sense of empathy for non-native English speakers. The readme is gentle enough to English speakers (aka: +95% English) no less I felt like I muddled through renaming tokens in my mind as I went. However, that quickly showed me two things.
1. It reminds me why I never seem to finish classic Russian literature… so often get lost in the introductory parade of names that are a cache miss for my usual set of names.
2. This is perhaps a significant cultural muscle that has never been necessitated for English speakers. Since the earth has largely been using English (in some capacity) for significantly longer than my life span - as my favorite joke says in the punch line “what do you call someone who only knows one language… uni-lingual… jk: American”
PS: it seems like there could be an open registry maintained by “Americans like me” who would rather pre-process the code for tokens within the docs and src… seems like a “DefinitelyTyped style” definitions registry would be very niche, but SUPER useful.
I also would love to hear more about the cluster shapes and cardinality of the coordinate system. I consider myself am pretty versed in data analysis, however with less expertise on NLP topics (eg t-SNE).
So a quick blurb like: the units on the axes in the graph are “a reduced embedding space” designed to keep structure and to reduce the dimensionality such that the clusters could be plotted on screen…
(I’m not even sure that’s correct, but I would have loved for you to have informed me on the one sentence visualization choice and then point me to t-SNE.)
Overall nice project - and it reminds me of a painful professional analysis lesson I have had to re-learn more than once.
> After working for NN hours on an analysis, and finally breaking through and completing it, overlooking the title and labels is the biggest footgun I have ever dealt with.
[1]: https://github.com/segmentio/ksuid which has very similar use cases.
Or maybe even a way to discover related statically typed definitions based on the validation rules?
It would be really nice to not define parts of a data model that provide little to no business value - but where you can easily “stub your toe”.
> “you can solve every problem by adding or removing an abstraction layer”
Have you considered generating your YAML/JSON config with something that composes?
If you are open to it you might be interested in dhall [1] as it’s a config language with variables, functions and imports.
I have used it for pet projects and I could see how it could offer some tidy encapsulation patterns for larger, more complicated production applications.
So far the human signal was that text and images were crafted by humans, of course with some tooling.
However as the universe of images and text corpuses grow, they will embody the idiosyncratic nature of the AI generation process. And those “glitches” as has been called higher in the thread, will potentially get fed-back into the training data set with out some filter using a human-signal, if even just an AI human-signal.
See https://nopecha.com/ (I’m not affiliated) and plenty others.
(Added edit) I too agree with the sentiments that a v2 should have a finer grain resolution where the data model would recognize a bill as a collection of clauses or statements. And attribution and intent of those clauses would be transformative (I think) for regular citizens.
Because then the internet would be able to track unintended consequences by author. This is arguably what the internet does best.
Have no fear Gen Z is a pendulum towards radical 90s colors.
https://link.springer.com/content/pdf/10.1007/s00371-021-022...
1) I am understanding the affirming responses? Aka is the above summary a correct characterization?
2) it feels like this (and related older research) would be the closest thing to a future telling machine - but with limited application “did I press the button?” The observer would perhaps know before the button presser albeit by tiny margin.
This can’t possibly be right, someone help me out here if you would be so kind.
I think the concealed handgun license (CHL) is the backbone of Texas gun-culture. Where someone goes from “regular citizen” to very adept at handing firearms and additionally having an understanding of the laws and regulations for those firearms.
CHL holders are a very real force in Texas. This feels like 2 steps backwards; it even feels like it caricatures the “John Wayne Texas” that so many imagine. Perhaps Texas feels like the “crazy drunken uncle Yosemite Sam” for some states. But hopefully anyone who has been to SXSW or the Super Bowl a few years back, or to Houston for business...hopefully you have seen that beyond the boots and funny accent most of Texas is not that different from other states.
So even though it’s legal, living in urban Dallas, TX - I have never seen a long barrel weapon held by non-law-enforcement in public. This is a very good thing in my personal opinion.
Plenty have brought up the Joe Rogan quote of “people in Texas are nice because you never know who is carrying [a gun]”. In my opinion this observation suffers from “correlation is not causation.”
Texas culture transcends my fear of being shot - which I almost never dwell on. Texas people are fierce practitioners of rugged individualism. With that, comes a bit of “don’t tell me what to do”, and as the belt-buckle of the Bible-belt there is a real culture of Protestantism that permeates more than meets the eye.
TLDR; Texas legislature tries to out Texas the rest of Texas.
Not to mention standard community/ ecosystem/ migration risk.
I don't see any discussion in the thread - and find that the recent dust up over this type of DRM gray area use is more than correlated with this type of new legislation.
After the obligatory IANAL [1]: the fate of `dl-youtube` would be tied to your ability to construe `dl-youtube` as a digital transmission service based on §2319C.a.2.
To me seems like the the risky clauses of §2319C.a.2 are : `primary purpose` and `publicly performing`; where primary purpose is tough because their is author intent, and then the proportions of real-world usage, and `publicly performing` is actually a pointer not to common usage of the phrase, but to definitions set forth later in the document.
Read the actual law [PDF]: https://www.tillis.senate.gov/services/files/A30B0C08-FB97-4...)
[1] - I Am Not A Lawyer
[1]: https://www.amazon.com/Deadly-Deceits-McGehee-12-Dec-1984-Pa...
So where ever you find “farmbot people” you will likely find a receptive ear.
See below for how “efficient”could use some clarification with regards to what type of efficiency you mean.
What do the numeric figures mean at the top of a topic card?
Things like 1b, 7b, 2.1bt and 11% and 17%
Is there somewhere that explains those? Did I miss some internet wide naming convention ??? :)
Spoiler - he gets a robotically perfect mullet because the scissors can reach the lower neck line.
Aside: It seems to me the realist punk / anti-the-man software one can work on is a user respecting browser. I don't work on these, but I am very grateful for those out there who do.
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- [1]: https://github.com/Eloston/ungoogled-chromium#downloads
- [2]: Brew install via: `brew cask fetch eloston-chromium && brew cask install eloston-chromium`
Enjoy old school browsing with new school development benefits.