The internet is starting to feel smaller and smaller, or at least the content I find is less interesting or created with the goal to be sponsored.

Nowadays, I basically consume downloaded content, books, shows, mainly old stuff found on the internet archive

Which other sites do you find interesting and worth it?

I recently found myself on the other side of what might be a generational divide:

I was talking with two younger family members, and they were talking about being mildly annoyed at sharing their location with the friends via their phones -- as in they could mutually see where everyone was at any given time.

My husband and I were utterly baffled. Giving friends permanent access to our current locations felt unbelievably invasive.

They felt that way a bit, but they also mentioned that it was a way of keeping up with one another and seeing what people are up to. They'd often see they were at a bar and send the other a text telling them to "enjoy the drinks!" or "have a good time!"

I can kind of understand the appeal of this, especially as a step away from the pressures of social media. Instead of having to take pictures at the bar to put up on Instagram, you can just be at the bar, and if someone thinks that's interesting they can let you know. In a weird way, that does actually feel healthier?

They also said that not sharing your location can be seen kind of negatively -- as being aloof or closed off. This gave me even further ick, because it made it seem like there was a strong social pressure to share (similar to the "if you have nothing to hide..." argument).

So, my question is basically: what's the social landscape of location-sharing like these days? Is what my family members do common, or is that an oddity specific to their friend group? Is it actually a generational thing, or am I overgeneralizing based on my one conversation?

For reference, I have next to zero knowledge of building electronics. I've replaced the joysticks on two Nintendo joycons (which I actually found pretty fun), and that's it. I also have no experience with 3D printing or designing specific products.

I am also sick of touch screen keyboards on phones, do not like any of of the phones that do have keys or the Clicks phone case (why is it on the BOTTOM—), and currently have a lot of free time.

So my question to you: how would I go about designing my own slide out case with its own keyboard?

Because that is my ideal solution at this point. And in fact, it turns out someone DID make a 3D printed "slider terminal" this year. Except it's for the Note 10 (I have a Galaxy S9), and seems to be used as a full-fledged replacement for a desktop experience with a trackpad. That's neat and will probably appeal to a lot of people here, but personally, I just need physical keys.

Along with the keyboard used for that terminal, I also found this other tiny keyboard which doesn't have the trackpad and is about the same dimensions as my Galaxy S9. Actually I found that first and was trying to figure out if there were any cases that could store and pop that out. The biggest issue is that it would cover my camera except maybe when it's slid out, but screw it, I want a damn physical keyboard.

I do have access to 3D printers (yay public libraries!) and I'm willing to learn Blender in order to make this thing. I just need advice on where to begin and how to tackle this. In particular, I have no clue how to go about the slide out part. I feel like I should be able to figure out how to make a case that fits the dimensions of my phone and the keyboard fairly easily, but no idea where to begin with researching the sliding component.

Besides that, I also know that I'm not alone here in my frustrations with phone keyboards, so I'm hoping we can pool together ideas on how to do this. As far as I can tell there's not really a "one size fits all" solution that would work for all phones (well, except perhaps a foldable case instead of slide-out), but maybe we can at least share decent starting points for people to design their own. For instance, the slider terminal uses a keyboard that came with a remote, and it would never have occurred to me that could be used for this sort of project. And there are a lot of potential workarounds for the camera placements, so Person A may have an idea that doesn't work well for them, but does work better for Person B than their own original idea.

So yeah. Advice, ideas and general brainstorming are welcome!

I’m curious to get a read of where people’s heads are at regarding defence - be it innovation, funding or working in it in general (in particular in Europe but please contextualise with your country if you’re commenting).

Still five years ago, most people’s view was rather negative on it. I’ve seen attitude change significantly but I’d love hear opinions.

This is always weighing on my mind and is coming after this comment I wrote.

The tech sector, especially the hyper-online portion of it, is full of devs who were doing some random shit before and shifted to AI the past few years. Don't get me wrong, I'm one of those: In much the same way, very shortly after the release of ChatGPT, I completely changed my own business as well (and now lead an AI R&D lab). Sure I had plenty of ML/AI experience before, but the sector was completely different and that experience has practically no impact aside from some fundamentals today.

The thing is, LLMs are all in all very new, few people have an active interest into "how it all works", and most of the sector's interest is in the prompting and chaining layers. Imagine network engineering and website design being bagged into the same category of "Internet Worker". Not really useful.

Some reflexions on the state of the business world right now...

In most SMEs, complete ignorance of what is possible beyond a budding interest in AI. Of course, they use ChatGPT and they see their social media posts are easier to write, so they fire some marketing consultants. Some find some of the more involved tools that automate this-and-that, and it usually stops there.

In many large companies: Complete and utter panic. Leaders shoving AI left and right as if it's a binary yes-ai/no-ai to toggle in their product or internal tools, and hitting the yes-ai switch will ensure they survive. Most of these companies are fuuuuuucked. They survive on entropy, and the world has gotten a LOT faster. Survival is going to get much harder for them unless they have a crazy moat. (Bullish on hardware and deeply-embedded knowledge; Bearish on SaaS and blind-spend; Would short Palantir today if I could)

In labs just like mine: I see plenty of knowledgeable people with no idea of how far-reaching the impact of the work is. Super technical AI people get biased by their own knowledge of the flaws and limitations so as to be blind to what is possible.

And in tech entrepreneurship, I see a gap forming between techies who have no respect for "vibe coders" on the grounds that they're not real programmers, and who don't end up using AI and fall massively behind since execution (not code quality) is everything. And at the same time I see vibe coders with zero technical prowess get oversold on the packaging, and who end up building dead shells and are unable to move past the MVP stage of whatever they're building.

And the more capable the tool you're using is, the more the experience can be SO WILDLY DIFFERENT depending on usage and configuration. I've seen Claude Code causing productivity LOSSES as well as creating productivity gains of up to 1000x -- and no, this isn't hearsay, these numbers are coming from my own experience on both ends of the spectrum, with different projects and configurations.
With such massively different experiences possible, and incredibly broad labels, of course the discussion on "AI" is all over the place. Idiocy gets funded on FOMO, products built and shut down within weeks, regulators freaking out and rushing meaningless laws that have no positive impact, it's just an unending mess.

Because it's such a mess I see naysayers who can only see those negatives and who are convinced AI is a bubble just like that "internet fad of the 90s". Or worse, that it has zero positive impact on humanity. I know there's some of those on Tildes - if that's you, hello, you're provably already wrong and I'd be happy to have that discussion.

Oh and meanwhile, Siri still has the braindead cognition of a POTUS sedated with horse tranquilizer. This, not ChatGPT, is the most-immediately-accessible AI in a quarter of the western world's pocket. Apple will probably give up, buy Perplexity, and continue its slow decline. Wonder who'll replace them.

Hello Tildes!

There's an open-source app I would like to work on and contribute code to, but it uses a toolchain that I'm not terribly familiar with (Deno), and I'm not a huge fan of letting tools like this have full access to my system and files.

Do any of you use a system to containerize different development environments for software development? I could definitely use a standard Docker/Podman container to run the app, but I'm not aware of a good system where you can edit a program's source in an IDE, make changes, build the app, open a local port, and save your new code, all within a sandboxed environment.

If anyone uses a system like this or something related, I would love to hear about it and share ideas.

Edit: Decided to go with the Ubiquiti Dream Machine Pro. Thank you for all the suggestions and advice!

Hey Tildenauts,

I'm planning to help a local nonprofit replace their aging hardware firewall pro bono. I have a fair amount of experience with networking and security, especially where web servers are concerned, but I haven't setup a hardware firewall recently enough to know off the top of my head which are the best options here.

The organization is fairly small but on its way to medium sized, around 30 employees at the moment but will likely expand to 50+ in coming years. So I'm looking for a solution that will comfortably scale up to 100 employees. There is remote work, accessing their local server via VPN, so something that comes bundled with a user friendly VPN client would be ideal. I haven't seen their physical setup yet but I know their server gets a lot of use. Not all employees use it remotely on a regular basis but many do.

From past experience I know that Cisco, Sophos and SonicWall are potential options. Cisco seems to be pushing their Meraki platform pretty hard but I don't think this organization needs a subscription based solution.

Anyone have recommendations for hardware firewalls I should consider? Any potential footguns I should know about?

Thanks in advance!

First, I am emphatically not talking about LLMs.

Just a shower thought kinda question. For most people, the primary issue is anthropomorphizing too much. But I think programmers see it differently.

Let's say someone comes up with something that seems to walk and talk like a self-aware, sentient, AGI duck. It has a "memories" db, it learns and adapts, it seems to understand cause and effect, actions and consequences, truth v falsehood, it passes Turing tests like they're tic-tac-toe, it recognizes itself in the mirror, yada.

But as a developer, you can "look behind the curtain" and see exactly how it works. (For argument's sake, let's say it's a FOSS duck, so you can actually look at the source code.)

Does it ever "feel" like a real, sentient being? Does it ever pass your litmus test?

For me, I think the answer is, "yes, eventually" ... but only looong after other people are having relationships with them, getting married, voting for them, etc.

Ok so I have a Google account for an organization. But when I have that account logged in on my phone some of the security restrictions impact all accounts on my phone. I have a pixel 7a with Android 16 if it matters.

I would love to have access to this gmail account, with notifications, on my phone without forwarding the emails to one of my personal accounts. Any way to do that within the Gmail app itself, or if I need a different app, any recommendations?

In my perfect world I'd have OneDrive access too, but I can use a browser window there if needed.

My understanding of how large language models work is rooted in my knowledge of statistics. However a significant number of people have never been to college and statistics is a required course only for some degree programs.

How should chatgpt etc be explained to the public at large to avoid the worst problems that are emerging from widespread use?

Overview

Background

Why I chose the Minimal Phone by Minimal Company

• while more expensive than a cheap android that I do software limitations on, it felt like I was getting a device that worked for me, rather than doing a bunch of configuration to get one to work for me
• Minimal phone was significantly cheaper than the Lite Phone, and had Google Playstore access to add some apps not included that I may need
• RCS support (it is just running Google Messages)
• eInk felt like a good fit for me
• The physical keyboard intrigued me

Experience ordering the phone

Software Impressions

Hardware

Summary