I want a world where I can figure out what to do next and that still functions, not one where Character X has to tell me to move to the next room for the doors to work as doors.
129 karma · joined January 11, 2022
I want a world where I can figure out what to do next and that still functions, not one where Character X has to tell me to move to the next room for the doors to work as doors.
> any sign of appeasing would be positive
...yada yada doomed to repeat yada yada...
That's the easy part, it's effectively a word association game, TF-IDF did this job admirably, scoring proper nouns by their uniqueness and then associating them with one another and searching for publications with similar words as the requested indication. Effectively a medical word cloud for each indication and compound. Parsing them into symptoms is the first nightmare, the second is numeric values associated with those symptoms and paper results.
There is a very good reason the demo only has one indication and a handful of symptoms, it's being done manually and then at best showing publications related to the words encountered.
It's not a matter of cost, although the author is all but doomed if they want to cover more than a few indications, it's a matter of not forcing publicly funded health publications to use an electronically parseable Format despite the simplicity of them being able to parse their paper by definition.
See the standards XKCD, the issue is getting many different academics and departments to agree on a set of schema to include alongside their publications. PubMed at least tries with their XML dumps but even those are inconsistent at best and non-syntactically interpretable at worst. The Japanese compound tracker is great to learn about a specific compound and their indications but stops there.
The primary reason is that it is very hard to come up with a schema that even 5% of papers would adhere to. The vast majority of this knowledge is phrased as natural language.
There are databases that track compounds and the publications related to them, but those papers again are natural language and cannot be readily converted to tabular data. Our first basic approach involved POS tagging and then trying to associate proper nouns with numeric values. Again the issue became how do you interpret a sentence like "may lead to sudden death" as a symptom? Something like "may lead to symptom X in Y% of respondents" is a nightmare to consistently parse without heavy ML running over huge datasets of just text.
In the end we wound up having to shut down concluding that until papers are released with not only arbitrary XML tables/results we were not equipped to handle the task. And even worse, what if our models didn't interpret things correctly and a consumer got {symptom:"sudden death", chance:0%} and insisted on that compound for their indication only to later realize the paper stated "in lab setting 0% of animals didn't experience sudden death after being administered X after diabetes diagnosis". Paying a hundred students to work around the clock couldn't get the volume processed accurately for months, let alone getting a second army of validators to confirm each entry.
However FBI tracing bomb-threat is probably still not using NSA-level resources... given the whole not our citizens wink wink thing.
Then they noticed that "that the originating IP address would have been revealed in the email header, which would have indicated Tor usage"
And from there "agents checked to see if anyone had accessed Tor through the local wireless networks. That led them to <culprit>, who promptly confessed."
Doesn't sound like they even had to engage with Tor infrastructure or Guerrilla Mail backends, just 'hmmm did a student use Tor, oh some did, let's check them out in full FBI livery' which freaked the kid out and he confessed.
It's easy to check if an IP is a Tor exit node, but unless you happen to also have egress logs it's still a thornier problem to de-anonymize without heavy resources.
To quote Wikipedia "In some other places like Germany and a number of other countries, it is considered human nature to want to escape from a prison and it is considered as a violation of the right of freedom, so escape is not penalized in itself (in the absence of other factors such as threats of violence, actual violence, or property damage)."
Passwords are to be remembered, private keys are to be stored. I suppose I'll tell you where it's stored, but often even that doesn't help. (E.g. It's on a USB key I didn't label and lost, or this is totally the admin pin to my smartcard, ok you got me these 3 are the real pins, uh oh it's physically wiped itself? Sad face for you)
For example, store POS system tracks nearby MAC addresses (simplest to do, very archaic). You always have your phone on you. Game Over. Even if you pay cash, if you've ever paid with a bank card connected to your identity next to that phone a logical inference can be made that the cash transaction XYZ is related to pseudonymous ID ABC if phone P's identifier was present at time of purchase.
That's what the entire point of things like Google Wallet/Pay is. Another means of directly attaching payment methods to your ID. Once that bank card is connected to you all transactions for that card from any source is also connected to you. From that every ID present at time of purchase is one step removed from you.
And so it goes...
I’ll set up my users as managed and pay for them, that’s really perfect. Since all users are accessing via a vps I control I can just whitelist that and my home networks CIDR and might be back in business!
Thanks for the help folks!
Plex also doesn’t let me pay for one premium subscription for the server so my family can watch old family guy episodes longer than 30 seconds on a phone. They each have to buy a subscription.
I still use Plex because so much infrastructure investment to get my parents to use it but honesty I’m not sure I’d recommend it anymore.
It seems someone at Plex decided they wanted the project to finally make some serious cash and started removing functions and moved them behind a paywall (like basic analytics of if someone is currently using it or what they have watched) while shoehorning in bizarre not even B-Movies.
Let me search what I want to search the way pagerank trained me to. Keywords over sentences.
But if you want to start pushing in that direction why not just add a "you may find better results when phrased as" section which these models appear to be preferential towards.
From the examples, ngrok for example, search didn't even care to include the keyword in all searches, even if the page is more "popular" the fact you'd (and I have repeatedly had to) quote the term to insist it be included is nuts for a search engine.
Finding obscure bug solutions was already barely possible, but has become impossible when even explicit error messages are "interpreted" to 'why won't <unrelated program> do <unrelated keywords>' on StackOverflow because it noticed that the program uses the same library and has had some searches with the same process name in the error line.