Wasn't exactly security but I used a RPi Zero with a camera to monitor my 3D print. It's small, low-power, wireless, didn't have any problem with it. I imagine the result can be recorded, analyzed, etc.

Looks like a USB stick.

Superficial feedback but I can't read more than 3 lines without syntax highlighting. Here I believe lines short for the text but makes code even harder to read due to new line. Maybe Codeberg allows for HTML embedding.

Now for a comment on the content itself, how is that different from aliases in ~/.bashrc? I personally have a bunch of commands that are basically wrapped or shortcuts around existing ones with my default parameters.

Finally, if the result is visual, like dmenu which I only use a bit in the PinePhone, then please start by sharing a screenshot of the result.

Anyway, thanks for sharing, always exciting to learn from others how they make THEIR systems theirs!

IMHO the question isn't as much you as a user of such platforms is "f*cked" because you sound both mindful and technically savvy. So, on that front, you will be OK.

The harder question I would say is how morally bankrupt you will feel by contributing to worsening the privacy of others for profit. Namely that yes by using Facebook/Insta/TikTok/etc you will gain more customers but those customers are gradually losing their privacy while you make those companies bigger by paying them. That means you depend on those companies more while they get more power.

Because of that I would argue that sure, do everything you can to protect yourself but it can't stop there. I would argue then than the question is rather, where else can you find more clients, and maybe even "better" clients who are more aligned with your own views on privacy, and maybe even more. It's definitely a challenge, especially seeing the trend of surveillance capitalism, but as you acknowledge yourself by using Lemmy, there are actual alternatives.

Ok... I'll take the bait, can you please share links that show how the Cybertruck is actually good the planet? I didn't actually read technical review about it. I mostly see silly (and sometimes fun) memes. I also recently read that EV in generals don't have the same impact as electrical bikes, e.g https://www.theguardian.com/news/ng-interactive/2024/apr/11/evs-are-booming-but-electric-bikes-are-really-cutting-emissions , but maybe I'm misinformed and this vehicle by Tesla, despite its size, it's actually helping. Can you please share a link to such review and/or studies with e.g Life cycle assessment (LCA) / ISO 14040?

PS: to clarify I don't mean articles about how it's "changing mind", I mean numerical estimations then comparison between one mean of transport, e.g non EV vs EV, or this EV vs other or this EV vs random electric bike.

fclones https://github.com/pkolaczk/fclones looks great but I didn't use it so can't vouch for it.

FWIW just did a quick test with rmlint and I would definitely not trust an automated tool to remove on my filesystem, as a user. If it's for a proper data filesystem, basically a database, sure, but otherwise there are plenty of legitimate duplication, e.g ./node_modules, so the risk of breaking things is relatively high. IMHO it's better to learn why there are duplicates on case by case basis but again I don't know your specific use case so maybe it'd fit.

PS: I imagine it'd be good for a content library, e.g ebooks, ROMs, movies, etc.

Neat ,wasn't aware of it, thanks for sharing

if you use rmlint as others suggested here is how to check for path of dupes

jq -c '.[] | select(.type == "duplicate_file").path' rmlint.json

Well that's one position, another is to say AI, being developed currently, is :

• not working due to hallucinations
• wasteful in terms of resources
• creates problematic behaviors in terms of privacy
• creates more inequality

and other problems and is thus in most cases (say outside of e.g numerical optimization as already done at e.g DoE, so in the "traditional" sense of AI, not the LLM craze) better be entirely ignored.

Edit : what I mean is that the argument of inevitability itself is dangerous, often abused.

FWIW I do have my own page on FLOSS AI, cf https://fabien.benetou.fr/Content/SelfHostingArtificialIntelligence so I do believe it's at least interesting, even important, to understand what it is.

Still, AFAIK both the electricity https://www.bloomberg.com/graphics/2024-ai-data-centers-power-grids/ and even the potential for correction https://arxiv.org/abs/2404.04125 from intrinsic properties of the dataset and learning but also as its marketed https://link.springer.com/article/10.1007/s10676-024-09775-5 today make me reiterate, AI FLOSS doesn't not automatically solve all problems of closed source or proprietary AI.

Edit: I know of Petals, I even discussed with some people working on it, and I learned about federated AI or federated learning back then, since at least 2019 (proof) so this isn't new to me.

Obviously important but "Published 2 months ago, on April 15, 2024" so would be good to also have an up to date link to understand what has changed, if anything, since that leak.