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Woohoo!!! I made it to 1000++s :) Now I feel less newbie-like around here :)
So... I don't want to shit-post, so in gratitude to all you guys for this awesome community you've built, specially @trogus and @dfox, I'll post here a list of my ideas/projects for the future, so you guys can have something to talk about or at least laugh at.
Here we go!
Current Project: Ensayador.
It's a webapp that intends to ease and help students write essays. I'm making it with history students in mind, but it should also help in other discipline's essay production. It will store the thesis, arguments, keywords and bibliography so students can create a guideline before the moment of writting. It will also let students catalogue their reads with the same fields they'd use for an essay: that is thesis, arguments, keywords and bibliography, for their further use in other essays. The bibliography field will consist on foreign keys to reads catalogued. The idea is to build upon the models natural/logical relations.
Apps: All the apps that will come next could be integrated in just one big app that I would call "ChatPo" ("Po" is a contextual word we use in my country when we end sentences, I think it derived from "Pues"). But I guess it's better to think about them as different apps, just so I don't find myself lost in a neverending side-project.
A subchat(similar to a subreddit)-based chat app:
An app where people can join/create sub-chats where they can talk about things they are interested in. In my country, this is normally done by facebook groups making a whatsapp group and posting the link in the group, but I think that an integrated app would let people find/create/join groups more easily. I'm not sure if this should work with nicknames or real names and phone numbers, but let's save that for the future.
A slack clone:
Yes, you read it right. I want to make a slack clone. You see, in my country, enterprise communications are shitty as hell: everything consists in emails and informal whatsapp groups. Slack solves all these problems, but nobody even knows what it is over here. I think a more localized solution would be perfect to fill this void, and it would be cool to make it myself (with a team of friends of course), and hopefully profit out of it.
A labour chat-app marketplace:
This is a big hybrid I'd like to make based on the premise of contracting services on a reliable manner and paying through the app. "Are you in need of a plumber, but don't know where to find a reliable one? Maybe you want a new look on your wall, but don't want to paint it yourself? Don't worry, we got you covered. In <Insert app name> you can find a professional perfect to suit your needs. Payment? It's just a tap away!". I guess you get the idea. I think wechat made something like this, I wonder how it worked out.
* Why so many chat apps? Well... I want to learn Erlang, it is something close to mythical to me, and it's perfect for the backend of a comms app. So I want to learn it and put it in practice in any of these ideas.*
Videogames:
Flat-land arena: A top down arena game based on the book "flat land". Different symmetrical shapes will fight on a 2d plane of existence, having different rotating and moving speeds, and attack mechanics. For example, the triangle could have a "lance" on the front, making it agressive but leaving the rest defenseless. The field of view will be small, but there'll be a 2d POV all around the screen, which will consist on a line that fills with the colors of surrounding objects, scaling from dark colors to lighter colors to give a sense of distance.
This read could help understand the concept better:
http://eldritchpress.org/eaa/...
A 2D darksouls-like class based adventure: I've thought very little about this, but it's a project I'm considering to build with my brothers. I hope we can make it.
Imposible/distant future projects:
History-reading AI: History is best teached when you start from a linguistic approach. That is, you first teach both the disciplinar vocabulary and the propper keywords, and from that you build on causality's logic. It would be cool to make an AI recognize keywords and disciplinary vocabulary to make sense of historical texts and maybe reformat them into another text/platform/database. (this is very close to the next idea)
Extensive Historical DB: A database containing the most historical phenomena posible, which is crazy, I know. It would be a neverending iterative software in which, through historical documents, it would store historical process, events, dates, figures, etc. All this would then be presented in a webapp in which you could query historical data and it would return it in a wikipedia like manner, but much more concize and prioritized, with links to documents about the data requested. This could be automated to an extent by History-reading AI.
I'm out of characters, but this was fun. Plus, I don't want this to be any more cringy than it already is.12 -
Data Disinformation: the Next Big Problem
Automatic code generation LLMs like ChatGPT are capable of producing SQL snippets. Regardless of quality, those are capable of retrieving data (from prepared datasets) based on user prompts.
That data may, however, be garbage. This will lead to garbage decisions by lowly literate stakeholders.
Like with network neutrality and pii/psi ownership, we must act now to avoid yet another calamity.
Imagine a scenario where a middle-manager level illiterate barks some prompts to the corporate AI and it writes and runs an SQL query in company databases.
The AI outputs some interactive charts that show that the average worker spends 92.4 minutes on lunch daily.
The middle manager gets furious and enacts an Orwellian policy of facial recognition punch clock in the office.
Two months and millions of dollars in contractors later, and the middle manager checks the same prompt again... and the average lunch time is now 107.2 minutes!
Finally the middle manager gets a literate person to check the data... and the piece of shit SQL behind the number is sourcing from the "off-site scheduled meetings" database.
Why? because the dataset that does have the data for lunch breaks is labeled "labour board compliance 3", and the LLM thought that the metadata for the wrong dataset better matched the user's prompt.
This, given the very real world scenario of mislabeled data and LLMs' inability to understand what they are saying or accessing, and the average manager's complete data illiteracy, we might have to wrangle some actions to prepare for this type of tomfoolery.
I don't think that access restriction will save our souls here, decision-flumberers usually have the authority to overrule RACI/ACL restrictions anyway.
Making "data analysis" an AI-GMO-Free zone is laughable, that is simply not how the tech market works. Auto tools are coming to make our jobs harder and less productive, tech people!
I thought about detecting new automation-enhanced data access and visualization, and enacting awareness policies. But it would be of poor help, after a shithead middle manager gets hooked on a surreal indicator value it is nigh impossible to yank them out of it.
Gotta get this snowball rolling, we must have some idea of future AI housetraining best practices if we are to avoid a complete social-media style meltdown of data-driven processes.
Someone cares to pitch in?14
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