MightyOwl13
Joined 6 years ago
Joined 6 years ago
I was looking for something similar and it's frustrating to see you can pick up a 65inch Samsung Q90A for about $2500-$3000 but a similarly sized comercial display will cost significantly more and use significantly more power (at least as far as I've seen, I might be wrong on this one). Comercial displays are rated for 16/24 or 24/24 usage, so they should, in theory, last significantly longer.
As far as my search went, I ended up going with a Dell U4320Q (43inch monitor) instead. It cost a bit more than the equivalent Samsung Q90A display, but it does have a USB C port with power delivery support, I can keep my desktop and laptop plugged in and it works/looks great. It also doesn't have Smart features, it's just a display. Depending on country you might be able to get some cashback on it and make it even more competitive price wise and the stand + warranty are pretty solid.
Hope this helps!
https://www.youtube.com/watch?v=O5O4ajGWZz8
And same url on an Invidious instance - https://yewtu.be/watch?v=O5O4ajGWZz8
So in my case my server would be 10.0.0.1 and I have two devices, let's say 10.0.0.10 and 10.0.0.20, I would putmy servers IP in as tcp://10.0.0.1:22000 in the settings page.
You can then even disable most of the doscovery options (if not all). Curios if you will see improvements!
They step back on that when the problem is turned around into "why does your house have walls? why do you have locks and doors?". It's not because you have something to hide, it's because of privacy and safety. And we need these spaces to provide us with a modicum of safety and privacy because some discussions can only emerge in those spaces, some ideas need to be discussed in those safe spaces and because I wouldn't want that the world in which modern children grow up in has entirely given up their right to privacy. We always end up using the bad as something that needs to be guarded against, but we seem to fail to see all the positive experiences that have emerged in those safe private spaces as we were growing up...
Hope you are better now and thank you for the write up!
I used to work in a company doing fraud prevention. The first thing that shocked me when I started in the role, was the sheer indifference people working there had for rejected transactions. The way these were supposed to be handled was like this:
1. Transaction is rejected because of a rule/condition/bank decline 2. Investigate transaction manually and identify root cause 3. Contact customer and provide information on how they can resolve this (ask for more details if you are unsure, mark them as safe to allow transactions as it was a clear false positive or ask them to speak to their bank or payment provider as the system wasn't the one that rejected the transaction)
The general view was though that if the customer think it's important, then they should get in touch with the company and there shouldn't be proactive work done on these transactions since chances are "most of them are dodgy". The problem was that there were thousands of these every single day and a very small team working in that department - less than 10 people. I voiced the fact that even if someone is fast at identifying these and going through them (once you developed experience in identifying the cause of the decline and doing the administrative work of allowing the user to complete transactions, emailing them and then keeping an eye on their account for when they try to make a purchase) they couldn't work through more than maybe 2-300 transactions in a day. That was 2-300 of someone working ONLY on this task, almost automatically and having a deep understanding of what happened in each of them. Realistically it was more around 50-100 transactions per day. The rejection list could have up to 3-4000 entries per day.
I argued for improvement of the rules that were pushing rejects into that queue, I argued for better analysis to be completed before a rule would be added, I argued for accepting a higher risk but allowing lower value transactions through to reduce friction and make the queue more manageable. I ended up getting some of the things I was asking for, but what happened was that the rejections went down to 1-2000 per day and people just assumed now that those are fraudulent for sure since now we're "better at spotting criminals"...
The introduction of another system that employed machine learning made fraud agents even more indifferent towards those queues since now "you can't fool AI". It was a very sad state of affairs and since I left there I seriously doubt that this has improved in any way. I remember the email chains you would get from some users who tried to make important purchases or even just regular purchases and not being able to get in touch with a human. I remember the frustration, the friction and the blanket statements that would emanate in team meetings saying that "it's fine as long as we protect the company from losses, so what if a few people have issues"... Those few people could have been them in other scenarios.
I think this will only keep getting worse and worse with time. Each new software that attempts to bring "efficiency" to some of these types of tasks can cause a huge array of problems downstream. You end up with companies that will have 5 people working in a department that should have 500 because machine learning will "take care of the issue". I know I haven't even touched the privacy concerns that this raises, and there are PLENTY and covered in great detail in this post and in the one made by the EFF, but we're forgetting here that those affected by these things are other people.
And as long as governments will say "You need to regulate this SOMEHOW" and companies will come back with "We'll use the power of AI and ML to train NN to easily identify any problems and thus bring efficiency and safety to all of our customers". We're people, we're not machines and we have a vast array of personal circumstances and elements that make us unique and saying that a blanket solution will "fix all problems" is absolutely inhuman and shows a crass misunderstanding of how these tools work and what their unintended consequences are.
TL;DR - using ML/AI/NN will cause a huge array of problems. We need more people working these queues which increase exponentially so that innocent users do not get caught in your "high-tech solution". For each criminal fraud prevention rules catch, a few hundred innocent people cannot complete their activities or are labelled as criminals until proven innocent.
A representative from Italy might ask for one specific element of information, another one from Germany might look for associative information (who a person is and who they were with) and one from the UK might ask for things as precise as the hour and minute at which a particular action would occur (this is due to the high amount of cameras that cover London for example, which could then be used to match movement around a region with surveillance to the data I would provide).
I would say most of the requests were reasonable from my point of view given the background they would provide - I guess it's also down to the person requesting the information. But as time progressed they figured out that I was able to get information or that we had information on a wide variety of elements... As I said initially, it goes from "Find info on John Doe, with an email account [email protected], with a date of birth of 33/33/2033 who did this activity at 11:30 PM on 01/01/2053" to "We have this email which is either jdoe@email or jdoe@gmail but we're not sure. Can you check all such occurences?".
I think the point is also that Europe isn't THAT much better and while people might wave privacy laws and GDPR as proof of Europe's "superiority", I think a lot of those things look good on the surface, but they still don't protect you as much as you'd think.
General security/crime prevention concerns were being provided as reasons for these searches. I had voiced my concern to my managers but they said as long as we had a paper trail which clearly tied each request to the info provided, they didn't really care. I left the place shortly afterwards, but it highlights, I think, how quickly these things spiral out of control. How specific turns general, how true belief turns into mere suspicion or blanket statements (ex - everyone in THAT area is a criminal so we need all the info).
What I'm trying to say is that you do get what you pay for (or don't).
If this isn't implemented, any idea on when or if you'll implement it at all? :) Love the idea behind the project, but I'm feeling a bit apprehensive seeing as a lot of these projects to build more privacy focused engines only lead to poorer results with a lot of the pages having questionable practices still.
On a side note I do use their free tier stuff (the amd vps-es) to host my website and it's been fine. Used the ampere instance to transfer stuff between two rclone encrypted remotes and haven't had issues so far.
Be careful though, the ampere instances aren't treated as "always free" so after the trial period ends, they get suspended and you either have to contact them or delete the instances and set them up from scratch... Had to spend a few hours setting up a book stack app instance again.