Oh I’m streets ahead, I never took him at his word in the first place.

OpenAI on that enshittification speedrun any% no-glitch!

Honestly though, they’re skipping right past the “be good to users to get them to lock in” step. They can’t even use the platform capitalism playbook because it costs too much to run AI platforms. Shit is egregiously expensive and doesn’t deliver sufficient return to justify the cost. At this point I’m ~80% certain that AI is going to be a dead tech fad by the end of this decade because the economics just don’t work now that the free money era has ended.

Tl;Dr the protocol requires there to be trusted token providers that issue the tokens. Who do you suppose are the trusted providers in the Google and Apple implementations? Google and Apple respectively, of course. Maybe eventually there would be some other large incumbents that these implementers choose to bless with token granting right. By its nature the protocol centralizes power on the web, which would disadvantage startups and smaller players.

Private State Tokens are Google’s implementation of the IETF Privacy Pass protocol. Apple has another implementation of the same protocol named Private Access Tokens. Mozilla has taken a negative position against this protocol in its current form, and its existing implementations in their current forms. See here for their blog post on the subject, and here for their more in-depth analysis.

I think you’re referring to FlareSolverr. If so, I’m not aware of a direct replacement.

Main issue is it’s heavy on resources (I have an rpi4b)

FlareSolverr does add some memory overhead, but otherwise it’s fairly lightweight. On my system FlareSolverr has been up for 8 days and is using ~300MB:

NAME           CPU %     MEM USAGE
flaresolverr   0.01%     310.3MiB

Note that any CPU usage introduced by FlareSolverr is unavoidable because that’s how CloudFlare protection works. CloudFlare creates a workload in the client browser that should be trivial if you’re making a single request, but brings your system to a crawl if you’re trying to send many requests, e.g. DDOSing or scraping. You need to execute that browser-based work somewhere to get past those CloudFlare checks.

If hosting the FlareSolverr container on your rpi4b would put it under memory or CPU pressure, you could run the docker container on a different system. When setting up Flaresolverr in Prowlarr you create an indexer proxy with a tag. Any indexer with that tag sends their requests through the proxy instead of sending them directly to the tracker site. When Flaresolverr is running in a local Docker container the address for the proxy is localhost, e.g.:

If you run Flaresolverr’s Docker container on another system that’s accessible to your rpi4b, you could create an indexer proxy whose Host is “http://<other_system_IP>:8191”. Keep security in mind when doing this, if you’ve got a VPN connection on your rpi4b with split tunneling enabled (i.e. connections to local network resources are allowed when the tunnel is up) then this setup would allow requests to these indexers to escape the VPN tunnel.

On a side note, I’d strongly recommend trying out a Docker-based setup. Aside from Flaresolverr, I ran my servarr setup without containers for years and that was fine, but moving over to Docker made the configuration a lot easier. Before Docker I had a complex set of firewall rules to allow traffic to my local network and my VPN server, but drop any other traffic that wasn’t using the VPN tunnel. All the firewall complexity has now been replaced with a gluetun container, which is much easier to manage and probably more secure. You don’t have to switch to Docker-based all in go, you can run hybrid if need be.

If you really don’t want to use Docker then you could attempt to install from source on the rpi4b. Be advised that you’re absolutely going offroad if you do this as it’s not officially supported by the FlareSolverr devs. It requires install an ARM-based Chromium browser, then setting some environment variables so that FlareSolverr uses that browser instead of trying to download its own. Exact steps are documented in this GitHub comment. I haven’t tested these steps, so YMMV. Honestly, I think this is a bad idea because the full browser will almost certainly require more memory. The browser included in the FlareSolverr container is stripped down to the bare minimum required to pass the CloudFlare checks.

If you’re just strongly opposed to Docker for whatever reason then I think your best bet would be to combine the two approaches above. Host the FlareSolverr proxy on an x86-based system so you can install from source using the officially supported steps.

They smell like plastic, metal, complex hydrocarbons, and death.

Anything that pushes the CPUs significantly can cause instability in affected parts. I think there are at least two separate issues Intel is facing:

• Voltage irregularities causing instability. These could potentially be fixed by the microcode update Intel will be shipping in mid-August.
• Oxidation of CPU vias. This issue cannot be fixed by any update, any affected part has corrosion inside the CPU die and only replacement would resolve the issue.

Intel’s messaging around this problem has been very slanted towards talking as little as possible about the oxidation issue. Their initial Intel community post was very carefully worded to make it sound like voltage irregularity was the root cause, but careful reading of their statement reveals that it could be interpreted as only saying that instability is a root cause. They buried the admission that there is an oxidation issue in a Reddit comment, of all things. All they’ve said about oxidation is that the issue was resolved at the chip fab some time in 2023, and they’ve claimed it only affected 13th gen parts. There’s no word on which parts number, date ranges, processor code ranges etc. are affected. It seems pretty clear that they wanted the press talking about the microcode update and not the chips that will have the be RMA’d.

Oh for sure, those are a communal resource.

Oh believe me, the cat knows.

Elon broke the seal on firing huge swaths of a tech workforce to make your numbers look better.

Don’t give him too much credit, it’s hardly the first time the tech sector has gone through this cycle. Elon had to do it because he massively overpaid for Twitter. The fact that his layoffs came at the front of this wave is probably just coincidence.

People here seem partial to Jellyfin

I recently switched to Jellyfin and I’ve been pretty impressed with it. Previously I was using some DLNA server software (not Plex) with my TV’s built-in DLNA client. That worked well for several years but I started having problems with new media items not appearing on the TV, so I decided to try some alternatives. Jellyfin was the first one I tried, and it’s working so well that I haven’t felt compelled to search any further.

the internet seems to feel it doesn’t work smoothly with xbox (buggy app/integration).

Why not try it and see how it works for you? Jellyfin is free and open source, so all it would cost you is a little time.

I have a TCL tv with (with google smart TV software)

Can you install apps from Google Play on this TV? If so, there’s a Jellyfin app for Google TVs. I can’t say how well the Google TV Jellyfin app works as I have an LG TV myself, so currently I’m using the Jellyfin LG TV app.

If you can’t install apps on that TV, does it have a DLNA client built in? Many TVs do, and that’s how I streamed media to my TV for years. On my LG TV the DLNA server shows up as another source when I press the button to bring up the list of inputs. The custom app is definitely a lot more feature-rich, but a DLNA client can be quite functional and Jellyfin can be configured to work as a DLNA server.

Reminds me of this classic.

You can do this with custom formats. You’d want to create a custom format that gives a score if the file is below a certain size threshold (say 1.5GB per hour), then add minimum custom scores to the release profiles you use (e.g. Bluray 1080p). You can also add custom filters for release groups that prioritise file size. YTS for example keeps their releases as small as possible.

Worst case Ontario

I’m not convinced that Valve will go down the tubes when Gabe shuffles off this moral coil (praise gaben may he live a thousand years). It would require a strong company culture that believes as he does that piracy is a service issue and is thus willing to adhere to his vision in his absence, but that can happen in a privately held company if there’s a strong succession plan in place.

Now, if Gabe dies and Valve goes public, then it’s pretty much over. Platform monetization, proft-taking and short-term thinking would enshittify Steam in short order.

Commerce conducted in a capitalist economy is inherently capitalist. Being publicly traded is not strictly required, though it might be the most common form of corporate structure under capitalism. Individuals, partnerships, privately-held and publicly-traded companies can all own capital. Valve’s assets are not owned by a government, its business decisions are made privately and it operates in a free market. Those three factors are pretty much the definition of capitalism.

I briefly experimented with it ages ago. And I mean ages ago, like 20+ years ago. Maybe it’s changed somewhat since then, but my understanding is that Gentoo doesn’t provide binary packages. Everything gets compiled from source using exactly the options you want and compiled exactly for your hardware. That’s great and all but it has two big downsides:

• Most users don’t need or even want to specify every compile option. The number of compile options to wade through for some packages (e.g. the kernel) is incredibly long, and many won’t be applicable to your particular setup.
• The benefits of compiling specifically for your system are likely questionable, and the amount of time it takes to compile can be long depending on your hardware. Bear in mind I was compiling on a Pentium 2 at the time, so this may be a lot less relevant to modern systems. I think it took me something like 12 hours to do the first-time compile when I installed Gentoo, and then some mistake I made in the configuration made me want to reinstall and I just wasn’t willing to sit through that again.

That’s a badger.

If you have multiple sticks, you can remove a bad one until you can replace it. Many memory modules have a lifetime warranty so you can often get them replaced by the manufacturer. I don’t think there’s a scenario where the system will stay stable with a bad stick installed.