Power management is going to be a huge emerging issue with the deployment of transformer model inference to the edge.
I foresee some backpedaling from this idea that “one model can do everything”. LLMs have their place, but sometimes a good old LSTM or CNN is a better choice.
Yeah, this is actually a pretty great application for AI. It’s local, privacy-preserving and genuinely useful for an underserved demographic.
One of the most wholesome and actually useful applications for LLMs/CLIP that I’ve seen.
(6.9-4.2)/(2024-2018) = 0.45 “version increments” per year.
4.2/(2018-1991) = 0.15 “version increments” per year.
So, the pace of version increases in the past 6 years has been around triple the average from the previous 27 years, since Linux’ first release.
I guess I can see why 6.9 would seem pretty dramatic for long-time Linux users.
I wonder whether development has actually accelerated, or if this is just a change in the approach to the release/versioning process.
The DJI Fly app is probably considerably worse for security/privacy than most Google apps. DJI has a storied history of sketchy practices in their apps: see here.
Google also won’t allow DJI to distribute their apps through the Play Store, because of DJI’s weird insistence on being able to push arbitrary binaries to customers’ phones entirely free of any third party vetting.
GrapheneOS’ sandbox hardening might help somewhat, but I’d recommend avoiding DJI products if you can. If you must use DJI Fly, prefer to use it in a different profile where it can’t touch any of your personal apps. Tough when they are singularly the best drone manufacturer for videography though.
OwnTracks is good for location sharing/logging and is open source. Ideally requires you to run your own MQTT server though.
If not using your own server, you can use payload encryption to protect your location data from being snooped by other users. (But ideally you should just run your own server, it’s pretty easy.)
If you include ChromeOS that’s very likely.
You can restrict what gets installed by running your own repos and locking the machines to only use those (either give employees accounts with no sudo access, or have monitoring that alerts when repo configs are changed).
So once you are in that zone you do need some fast acting reactive tools that keep watch for viruses.
For anti-malware, I don’t think there are very many agents available to the public that work well on Linux, but they do exist inside big companies that use Linux for their employee environments. For forensics and incident response there is GRR, which has Linux support.
Canonical may have some offering in this space, but I’m not familiar with their products.
At least in some circumstances, the risks of sharing your DNA include having children…
Tbf 500ms latency on - IIRC - a loopback network connection in a test environment is a lot. It’s not hugely surprising that a curious engineer dug into that.
I don’t think it’s necessarily a bad thing that an AI got it wrong.
I think the bigger issue is why the AI model got it wrong. It got the diagnosis wrong because it is a language model and is fundamentally not fit for use as a diagnostic tool. Not even a screening/aid tool for physicians.
There are AI tools designed for medical diagnoses, and those are indeed a major value-add for patients and physicians.
Ohh, my bad! I thought the person you were replying to was asking about Gitea. Yeah, Forgejo seems truly free and also looks like it has a strong governance structure that is likely to keep things that way.
This sadly isn’t true anymore - they now have Gitea Enterprise, which contains additional features not available in the open source version.
From here:
Don’t use Gitea, use Forgejo - it’s a hard fork of Gitea after Gitea became a for-profit venture (and started gating their features behind a paywall).
Codeberg has switched to Forgejo as well.
Also, there’s some promising progress being made towards ActivityPub federation in Forgejo! Imagine a world where you can comment on issues and send/receive pull requests on other people’s projects, all from the comfort of a small homeserver.
I saw a job posting for Senior Software Engineer position at a large tech company (not Big Tech, but high profile and widely known) which required candidates to have “an excellent academic track record, including in high school.” A lot of these requirements feel deliberately arbitrary, and like an effort to thin the herd rather than filter for good candidates.
Agreed, and it could definitely make such an assumption. The other aspect that I don’t really get is… if a superintelligent entity were to eventuate, why would it care?
We’re going to be nothing but bugs to it. It’s not likely to be of any consequence to that entity whether or not I expected/want it to exist.
The anthropomorphising going on with the AI hype is just crazy.
Yeah bro but eXpOnEnTiAl ImProVeMeNt bro!
And haven’t you heard of Roko’s basilisk? Better be careful what you say on the cybernets, lest our AGI/ASI overlords of 2026 take a disliking to your commentary regarding their eventual supremacy!
Excuse me while I go back to mining Dogecoin until I can buy enough NFTs to make Elon or Sam Altman notice me.
/s
Idk… in theory they probably don’t need to store a full copy of the page for indexing, and could move to a more data-efficient format if they do. Also, not serving it means they don’t need to replicate the data to as many serving regions.
But I’m just speculating here. Don’t know how the indexing/crawling process works at Google’s scale.
This is probably an attempt to save money on storage costs. Expect cloud storage pricing from Google to continue to rise as they reallocate spending towards ML hardware accelerators.
Never been happier to have a proper NAS setup with offsite backup 🙃
It’s still extremely common over here in Australia, and I often get dirty looks for tapping “No Tip”.
The pressure is definitely mounting.