With all of the identity verification laws in the pipeline, data breaches, and government overreach (mandated monitoring in new cars in the US), what steps can the average person take to secure their anonymity and data and device privacy?

I’m a tech-savvy person but nowhere near the level of a great many. It seems like in the face of overwhelming odds, making small changes is only a drop in the bucket. I have all the data encryption settings enabled on my phone, but I use services like Dropbox and rely on it heavily. I’ve always thought that if the product is free, you’re the product…but I pay for Dropbox, so they shouldn’t use my data for training AI (but they likely are). Setting up a personal cloud seems like a daunting task, as is getting involved in any of the small projects that people have going (decentralized networks, mesh…things, P2P, etc). I’ve focused more on securing my home networks recently so my Ubiquiti devices are restricted in what they can access, but I haven’t actually pen-tested my network yet. I have PopOS! installed on my home desktop because I got tired of Windows’ invasive…everything, but ultimately I don’t know what I’m doing.

There’s probably a great many people out there that feel like it’s hopeless to try to do anything because it won’t matter as there’s such a heavy push to invade, restrict, and monetize our digital lives. What can the average person do to take control of our devices and data?

Hi friends,

Given the current state of AI and other technologies, do you consider higher education to still be worth pursuing? For those of you with children, will you be advising them to go to college?

I’m asking because I am enrolled in a masters program for statistics and have ~2 years left. I’m concerned that by the time I’m finished, the degree won’t be worth the paper it’s printed on. Like many of you, I work in software. Some days I think I should be learning an entirely different skill set in a non tech related field to diversify my value instead of doubling down on a potentially dying field.

I am not really interested in “you should pursue education for the sake of education”. While this is probably true, at the end of the day I need a way to make money to survive and education is the historical way of increasing one’s value in the job market. Furthermore, I can educate myself for far cheaper if education from a university is no longer considered valuable.

Anyone else in the same boat? Am I being dramatic? Would love to hear your thoughts.

With CES 2026 coming to a close, I figured that like last year, I should make a thread to see what people are excited (or not excited) for.

I honestly wasn't that excited (see recent state of US economy) but I want to your thoughts!

Previous Topics:

Dell's CES 2026 chat was the most pleasingly un-AI briefing I've had in maybe five years
I didn't post in the thread as I didn't have much to add, the top post by @Oxalis basically sums up my thoughts

Nice to see them be honest about how this isn't really panning out. Everyone wants AI except the consumer.

Clicks Communicator: the ultimate communication companion
Again didn't post in here but I'm glad there is a still a market for niche phone.

I am really not sure if this topic belongs in ~tech or ~society or ~talk but I trust the moderators to re-assign accordingly.

So, this is the layout of the "development" team of my companies.

there are 4 "development" teams which reports to the development manager who also occasionally codes.
There is one team, that's the one I am on. 7 people, 6 males.
there is another team, 4 people, 3 males.
there is another team, 5 people, 4 males.
The last team, I don't really consider "development" team. its a team of 4 females. What they are best suited for is QA in the sense of manually testing the product to ensure the experience is sufficient for push to PROD, But because of budget restrictions, they are being forced to learn code and testing suites so they can be the people to develop our testing structure. They are great people and excellent Manual QAers but they really are not developers.

All our tech managers and team leads are men with the exception of the team lead for QA (obviously).

And just to be clear, the culture is friendly and respectful and no complaints. It's just the gender ratio is pathetic.

So our tech gender ratio is really 17 people and 3 women which is 17%.
If you want to consider the QA team a dev team to bump up the numbers, you get 21 with 7, that's still only 33%.

At a recent company meeting, they were talking about how diverse our workforce is and blah blah blah (I tune out most of that stuff as we are fully remote and I spend most of my time coding), but then they showed a slide that claimed our gender ratio for tech roles was like 50% or something.....

I message a colleague at work, being like "where on earth did they get that number??", he was like ":shrug: maybe they are counting the people who use the product we are making?"

To clarify that, the product we work on is rarely used by external customers. Instead we have employees who know how to use our product and correspond on our behalf with external customers. So all these employees are doing is using a webapp the real tech employees develop.

So long story short, my company pulled a number out of nowhere to claim we have gender equity in the tech roles and now I dont know how to trust any stats a company puts out about how equal the gender roles are in their "tech" departments.

I didn't watch the whole video and I'm not familiar with the channel so I don't want to make this a link post, but here's the source: The Lunduke Journal

I watched up to the point where the author explains how Microsoft tends to turn on all the privacy invading settings every time they push an update (not surprising). I guess if I had to use Microsoft products, I'd try to disable automatic updates and just do them twice a year in one go, while also turning off the settings I want off. Would it be practically feasible? I don't know. Having to go to those lengths to use some software just seems ridiculous.

I've been considering going back to school and taking some courses that are available to me. With the associates that I already have, I was weighing the options that I have available to me. Computer Science is a classic and could probably get me very far with the "need a piece of paper" folks, but it's more software development than I have a passion for, compared to my troubleshooting, find a problem, solve a problem desires. Cybersecurity is probably going to be more dependent on certs than anything I can learn in a class, especially if it's ever evolving and a degree can be outmoded very quickly. Computer Information Systems sort of has my attention because it seems like an IT based degree with elements of a business setup and not as laser focused on coding. With the courses that I currently have under my belt, it would be more for CIS than it would be for CS, but more CLEP and ACE options so it about evens out.

Does Computer Information Systems hold any water in any of your opinions to what Computer Science has to offer? Or is it somewhat arbitrary anyway?

Video: https://www.youtube.com/watch?v=GyVHrGLiTcc (46m20s)

Transcript: https://medium.com/what-to-build/is-anything-worth-maximizing-d11e648eb56f (10,314 words with footnotes and references)

Excerpt:

...for simple maximizers, its choices are just about numbers. That means its choices are in the numbers. Here, the choice between two desserts is just a choice between numbers. We could say its choice is already made. And that it has no responsibility, since it’s just following what the numbers say.

Reason-based maximizers don’t just see numbers, though, they also see values. Here, there’s a choice between two desserts — but it isn’t a choice between two numbers. See, it’s also a choice between two values. One option means being a seize-the-day, intensity kind of person. The other means being a foody, aristocratic, elegance kind of person.

My personal thoughts about this talk: it's a kind of strange, kind of dubious philosophical and multi-disciplinary reflection on metrics for organizations, especially metrics for tech companies, and on the pitfalls of optimizing for metrics in what the speaker argues is too "simple" a way.

I don't entirely trust the speaker or the argument, but there was enough in the talk to stimulate curiosity and reflection that I thought it was worth watching.