Also I just absolutely hate the tone of them. So obviously AI, and they all have the same structure, ending in "Prepare for a journey through blah blah blah".
They're absolutely not serving data this way. A new client-facing encoding scheme would break utilization of hardware encoders, which in turn slows down everyone's experience, chews through battery life, etc.
It looks like they're compressing the data before it gets further processed with the traditional suite of video codecs. They're relying on the traditional codecs to serve, but running some internal first pass to further compress the data they have to store.
I never even used Google Photos (because, you know), so if somebody could explain more concretely: how do you use it? Is it actually a backup app (and if so, is it really much different from using a generic backup app or even just syncthing), or does it somehow magically allow you to keep the preview gallery and search on your device, while your actual 200 GB of photos are somewhere in the cloud and the local storage is basically just auto-managed cache, where everything you didn't access in the last 6 months gets deleted? Does it preserve all this additional data Android cameras add, like HDR, video fragments before photos, does it handle photospheres well, etc? I'm asking because I don't even fully understand how the camera app handles it itself, and if all the data is fully portable.
FWIW, I also don't use any fancy collection management and barely understand what all these Lightrooms and XMP files are for. Maybe I should, but up to this day photos for me are just a bunch of files in the folder, that I sometimes manually group into subfolders like 2025-09, mostly to make it easier on thumbnail-maker.
Here we go again with the PFAS. It is the stuff to prefer the least, not the most.
> I'm getting D3 and A from multivitamins
That fails completely because they almost always don't have softgel oil-dissolve forms or the right dose at all. They're generally very far from it. It is exactly what leads to the autoimmune issue of dry eyes in the first place.
Even if you are self hosting in the cloud or on a rented box, Tailscale is still really nice from a security perspective. No need to expose anything to the internet, and you can easily mix and match remotely hosted and home servers since they all are on the same Tailnet.
immich is neat, but I tire of fiddling around with computers more than necessary so I pay for iCloud for the family because I don't want to be Oncall 24/7/365.
Real-debrid == imagine a huge cloud storage service. You have 1000 people trying to download Burgonia.4k.mkv. it downloads the torrent once to the shared server, then gives each user their own access to it via a WebDAV mount.
WebDAV == trick you server into thinking a cloud server is a local folder. You use RClone to mount this and it's accessible from your local drive so you can stream all your stuff directly.
What this means: you add a show in Sonarr or a movie in Radarr. Prowlarr searches Torrentio or Zilean for torrents. The best match is chosen. It sends to Decypharr (or black hole) to say "download this torrent to my real debrid box". It finds the cached version of the file, which is instantly available in your drive. It's symlinked so Plex can pick up the file.
Basically the lead time from requesting a movie/series to watching it on your tv is about 10 seconds, with no storage overhead required.
I, for one, find it extremely odd that any of these video posters believe they get to control whether or not I use, directly or indirectly, an AI to summarize the video for me.
The net $5.5T the fed printed had to go somewhere. AI Arms Race was the answer. And when the models got good, then we needed agentic to create unbounded demand for inference just as there was unbounded demand for training.
Is there a single AI corporation working for the public good? “Open”AI just shed the last vestiges of its non-profitdom, and every single AI CEO sounds like a deranged cultist.
Wake me up when we have the FSM equivalent for AI. What we have now is a whole lot of corporate wank.
There's already a huge number of AI generated channels in youtube. The only difference is that they're uploaded by channel owners. What's is gonna happen very quickly (if not already) is that Youtube itself will start "testing" AI content that it creates on what will look like new channels. In a matter of a few years they'll promote this "content" to occupy most of the time and views in the platform.
Advertising is not particularly expensive as it is, go look up the "rate card" for your favorite broadcaster, even if you increased those rates by an order of magnitude they would still be approachable by most clients. You would also expect that if the cost of ads go up then the number of "avails" for them would go down.
Collective industry groups would advertise more and politicians would advertise a lot less.
Your are right! Would you like me to pretend I'm able to generate better responses if just give me more input but will end up just wasting your time and your money? And with some luck when you end frustrated you will conclude that it was your fault for not giving me good enough input and not mine for being unable to generate good output, in other words that to you just need to be better at GPTing.
Being driven mad by conspiracy paranoia about 'face filters' (possible compression artifacts) is a great example of being AI-pilled.
The other example in submitted post isn't 'edits to videos' but rather the text descriptions of automated captions. The Gemini/AI engine not being very good at summarizing is a different issue.
Interesting. Are there more examples somewhere? I'm curious about cases where multiple examples are required. The associativity "example" corresponds directly to the rewrite rule definition, so it doesn't really illuminate the distinction between specifying a rewrite rule and inferring a rule from multiple examples.
Joe implemented feature A. Sandra implemented feature B. Raj implemented C. All launched in July. Since then metric X is up 20%. Who gets credit, and what does that credit really mean?
Now say all 3 did that in 3 different products. One produced a 200% improvement in an internal product, one a 40% improvement in a product with thousands of users, one a 1% improvement in a product with a billion users? Compare *that*.
You could get it in any state, if you are not expecting anyone else to pay for it. All his panel did was not recommend it be given universally, which you are free to ignore. They didn’t ban it.
The only effect of the panel’s recommendations is to guide insurance reimbursement. The recommendations give insurers the leeway to insist that young, healthy people get a checkup before a vaccine is covered.
New York, like every other state and RFK junior himself, politicized it. But that doesn’t change the fact that the vaccine recommendations don’t prohibit use of them.
