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You know what really grinds my gears? As a junior webdeveloper (mostly backend) I try my hardest to deliver quality content and other people's ignorance is killing me in my current job.
Let's rant about a recent project I had under my hood, for this project (a webshop) I had to restructure the database and had to include validation on basicly every field (what the heck, no validation I hear you say??), apperently they let an incompetent INTERN make this f***king webshop. The list of mistakes in this project can bring you close to the moon I'd say, seriously.
Database design 101 is basicly auto incremented ID's, and using IDs in general instead of using name (among a list of other stuff obv.). Well, this intern decided it was a good idea to filter a custom address-book module based on a NAME, so it wasn't setup as: /addressbook/{id} (unique ID, never a problem) but as /addressbook/{name}, which results in only showing one address if the first names on the addresses are the same. Lots of bugs that go by this type of incompetence and ignorance. Want to hear another joke? Look no further, this guy also decided it was a great idea to generate the next ID of an order. So the ordernumber wasn't made up by the auto incremented id on the order model, but by a count of all the orders and that was the next order number. This broke so many times, unbelievable.
To close the list of mistakes off, the intern decided it was a great idea to couple the address of a user directly to an order. Because the user is able to ship stuff to addresses within his addressbook, this bug could delete whole orders out of the system by simply deleting the address in your addressbook.
Enough about my intern rant, after working my ass of and going above and beyond the expectations of the customer, the guy from sales who was responsible for it showed what an a**hole he was. Lets call this guy Tom.
Little backstory: our department is a very small part of the company but we are responsible for so much if you think about it. The company thinks we've transitioned to company wide SCRUM, but in reality we are so far from it. I think the story below is a great example of what causes this.
Anyway, we as the web department work within Gitlab. All of our issues and sprints are organized and updated within this place. The rest of the company works with FileMaker, such a pile of shit software but I've managed to work around its buggyness. Anyway, When I was done with the project described above I notified all the stakeholders, this includes Tom. I made a write-up of all the changes I had made to the project, including screenshots and examples, within Gitlab. I asked for feedback and made sure to tag Tom so he was notified of my changes to the project.
After hearing nothing for 2 weeks, guess who came to my desk yesterday? F**king tom asking what had changed during my time on the project. I told him politely to check Gitlab and said on a friendly tone that I had notified him over 2 weeks ago. He, I shit you not, blantly told me that he never looks on there "because of all the notifications" and that I should 'tell him what to do' within FileMaker (which I already had updated referencing Gitlab with the write-up of my changes). That dick move of him made me lose all respect for this guy, what an ignorant piece of shit he is afterall.
The thing that triggers me the most in the last story is that I spent so much free time to perfect the project I was working on (the webshop). I even completed some features which weren't scheduled during the sprint I was working on, and all I was asking for was a little appreciation and feedback. Instead, he showed me how ignorant and what a dick he was.
I absolutely have no reason to keep on working for this company if co-workers keep treating me like this. The code base of the webshop is now in a way better condition, but there are a dozen other projects like this one. And guess what? All writen by the same intern.
/rant :P10 -
Chinese remainder theorem
So the idea is that a partial or zero knowledge proof is used for not just encryption but also for a sort of distributed ledger or proof-of-membership, in addition to being used to add new members where additional layers of distributive proofs are at it, so that rollbacks can be performed on a network to remove members or revoke content.
Data is NOT automatically distributed throughout a network, rather sharing is the equivalent of replicating and syncing data to your instance.
Therefore if you don't like something on a network or think it's a liability (hate speech for the left, violent content for the right for example), the degree to which it is not shared is the degree to which it is censored.
By automatically not showing images posted by people you're subscribed to or following, infiltrators or state level actors who post things like calls to terrorism or csam to open platforms in order to justify shutting down platforms they don't control, are cut off at the knees. Their may also be a case for tools built on AI that automatically determine if something like a thumbnail should be censored or give the user an NSFW warning before clicking a link that may appear innocuous but is actually malicious.
Server nodes may be virtual in that they are merely a graph of people connected in a group by each person in the group having a piece of a shared key.
Because Chinese remainder theorem only requires a subset of all the info in the original key it also Acts as a voting mechanism to decide whether a piece of content is allowed to be synced to an entire group or remain permanently.
Data that hasn't been verified yet may go into a case for a given cluster of users who are mutually subscribed or following in a small world graph, but at the same time it doesn't get shared out of that subgraph in may expire if enough users don't hit a like button or a retain button or a share or "verify" button.
The algorithm here then is no algorithm at all but merely the natural association process between people and their likes and dislikes directly affecting the outcome of what they see via that process of association to begin with.
We can even go so far as to dog food content that's already been synced to a graph into evolutions of the existing key such that the retention of new generations of key, dependent on the previous key, also act as a store of the data that's been synced to the members of the node.
Therefore remember that continually post content that doesn't get verified slowly falls out of the node such that eventually their content becomes merely temporary in the cases or index of the node members, driving index and node subgraph membership in an organic and natural process based purely on affiliation and identification.
Here I've sort of butchered the idea of the Chinese remainder theorem in shoehorned it into the idea of zero knowledge proofs but you can see where I'm going with this if you squint at the idea mentally and look at it at just the right angle.
The big idea was to remove the influence of centralized algorithms to begin with, and implement mechanisms such that third-party organizations that exist to discredit or shut down small platforms are hindered by the design of the platform itself.
I think if you look over the ideas here you'll see that's what the general design thrust achieves or could achieve if implemented into a platform.
The addition of indexes in a node or "server" or "room" (being a set of users mutually subscribed to a particular tag or topic or each other), where the index is an index of text audio videos and other media including user posts that are available on the given node, in the index being titled but blind links (no pictures/media, or media verified as safe through an automatic tool) would also be useful.12