Corporate IT: YOU MUST COME INTO THE OFFICE. WE JUST RECEIVED AN URGENT NOTIFICATION FROM APPLE OF A SECURITY VULNERABILITY IN iOS DEVICES. YOU HAVE BEEN IDENTIFIED AS HAVING A MAC ASSET. COME INTO THE OFFICE IMMEDIATELY AND UPDATE IT.

Dev: I don’t use that mac, it sits in my office desk drawer unplugged. I’ll update it if I ever need it for anything. Which I won’t, we don’t do iOS dev anymore.

Corporate IT: NOOOOO!!! YOU MUST UPDATE IT NOW!!!

Dev: I’m not wasting time driving into the office this week. We have an important deadline we’re working on, I can’t afford to lose 2 hours to this. Plus it can’t be turned on right now, It’s been unplugged for 2 years.

Corporate IT: THAT WOULDN’T STOP A HACKER!!

Dev: …

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?

Corporate IT: We don’t think you need Saas product A. We have SharePoint and SharePoint can do anything! Sharepoint eliminates the need for any and all Sass products, it all just comes down to customizing it!

Dev: …

paypal, a company that literally makes BILLIONS per year, is going to make mit SIT and WAIT for a meager 1 year CSV transaction report printout

knowing the pile of shit that is corporate america, theyre probably running on some garbage circa 2002 IBM SQL server or some shit

god it truly is a 🤡🌎

I think it would be nice to see less contracts with those companies which only have in mind barebones training and profit. That kind of relationship between institutions drops the standards and it's expensive af. Those who sells cheap computers and bad software and charges more than ten time their value, those with enough power and influence to bend every single rule...

That kind of companies shapes the industry according to their needs, and will never give a shit about anything but the next semester. They teach you to be just a bit more than a user, they charge you like if they were really teaching science.
You end up full of debt, self taught on the technologies that matters, and accepting jobs on projects as outdated and mediocre as the "educational plans" you paid thousands for. And all that just to get a piece of paper signed by a stranger who doesn't care about you, and enjoyed by a corporation which wouldn't even consider to hire you because they know what they sold to the education department.
Fuck this, today I hate it all.