I like to code, garden and tinker

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Joined 9 months ago
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Cake day: February 9th, 2024

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  • Just the act of refusing makes the act of seizing your phone legal or not. If you legally give them your phone by your own will, they are able to use all evidence they find in the courts. If you deny to give them your phone, and they seize it anyways and access it you have a valid path to throw the evidence they discover out as an illegal search and seizure of your property. I’m not a lawyer but that is the general thought process on denying them access to your property.

    Edit: Just want to say this mostly pretains to United States law and similar legal structures. This advice is not applicable everywhere and you should research your countries rights and legal protections.


  • I personally rather trust that my device isn’t able to be unlocked without my permission, rather than hope I am able to do some action to disable it in certain situations. The availability of such features is nice, but I would assume I would be incapable of performing such actions in the moment.

    My other thought is, how guilty is one perceived if they immediately attempt to lock their phones in such a matter, by a jury of their peers? I rather go the deniability route of I didn’t want to share my passcode vs I locked my phone down cause the cops were grabbing me.



  • The quotation marks did most of the lifting there, and it’s more of an anecdote of their own projections against themselves. They assume these “welfare queens” are driving around in high end cars and living luxurious lifestyles on the governments dollar, while they are the ones doing such. Sorry if there was any confusion. I agree with all the statements you have stated against Brett Farve though, they are the scum of the system they wish to project onto others.


  • Despite texts that show Favre sought to keep his receipt of the funds confidential, Favre has said he didn’t know the money came from federal funds intended for poor people. He’s paid the money back, but he’s being sued by the state of Mississippi for hundreds of thousands of dollars in interest that accrued on the money he received. Favre hasn’t been accused of any criminal wrongdoing.

    Source: (Yahoo News)

    So they could easily of have funded this themselves, but just rather steal public funds because “free money”? Sounds like a so called “welfare queen” to me.


  • Fluent in finance is just another forum that says it’s your fault your poor. They say you don’t play the game right and they may be right for a rigged game. But the fact is you shouldn’t be required to play a game to get whats your fair share, and fluent in finance just says you didn’t invest right and didn’t setup your future right to live off the backs of other workers.

    The rest is just hyperbolic headlines which drive engagement which is the cancer of any social media platform. No one makes a billion dollars in income as defined by the US tax code, they make a billion dollars in equity which can be used to back loans which is part of the whole issue of obscuring cash flow. Then they can just use this as fodder to call anyone supporting this idiots cause “No one makes a billion dollars a year” when we know they do, it’s just accounted differently.


  • My question would be, why do you need a more powerful server? Are you monitoring your load and seeing it’s overloaded often? Are you just looking to be able to hook more drives to it? Do you need to re-encode video on the fly for other devices? Giving some more details would help someone to give a more insightful answer. I personally am using a Raspberry Pi 4, Chromebox w/ an i7, an old HP rack server, and an old desktop PC for my self hosting needs, as this is cheaper than buying all new hardware (though the electricity bill isn’t the greatest haha, but oh well). If you are just looking for more storage, using the USB 3.0 slots on the Raspberry Pi 4b you can add a couple extra SSDs using a NVMe to USB 3.0 enclosure. For most purposes the speeds will be fine for most applications.

    As for SSD vs HDD, SSD hands down. The only reason you’d pick an HDD is if your trying to get more storage cheaper and don’t mind a higher rate of failure. If your data is at all valuable, and it almost always is, redundancy should be added as well.

    And as for running Linux, if it can’t run Linux I wouldn’t want to own it.

    Edit: Fixed typo


  • This might help, sorry if it doesn’t, but here is a link to CloudFlares 5xx error code page on error 521. If you’ve done everything in the resolution list your ISP might be actively blocking you from hosting websites, as it is generally against the ISPs ToS to do such on residential service lines. This is why I personally rent a VPS and have a wireguard VPN setup to host from the VPN, which is basically just a roll your own version of Tailscale using any VPS provider. This way you don’t need to expose anything via your ISPs router/WAN and they can’t see what you are sending or which ports you are sending on (other than the encrypted VPN traffic to your VPS of course).



  • I’ve never ran this program, but skimmed the documentation. You should be able to use the SHIORI_DIR (or a custom database table following those instructions) along with the -p argument for launching the web interface. A simple bash script that should work:

    export SHIORI_DIR=/path/to/shiori-data-dir
    shiori serve -p 8081
    

    To run multiple versions, I’d suggest setting up each instance as a service on your machine in case of reboots and/or crashes.

    Now for serving them, you have two options. The first is just let the users connect to the port directly, but this is generally not done for outward facing services (not that you can’t). The second is to setup a reverse proxy and route the traffic through subdomains or subpaths. Nginx is my go-to solution for this. I’ve also heard good things about Caddy. You’ll most likely have to use subdomains for this, as lots of apps assume they are the root path without some tinkering.

    Edit: Corrected incorrect cli arguments and a typo.


  • SQL is the industry standard for a reason, it’s well known and it does the job quite well. The important part of any technology is to use it when it’s advantageous, not to use it for everything. SQL works great for looking up relational data, but isn’t a replacement for a filesystem. I’ll try to address each concern separately, and this is only my opinion and not some consensus:

    Most programmers aren’t DB experts: Most programmers aren’t “experts”, period, so we need to work with this. IT is a wide and varied field that requires a vast depth of knowledge in specific domains to be an “expert” in just that domain. This is why teams break up responsibilities, the fact the community came in and fixed the issues doesn’t change the fact the program did work before. This is all normal in development, you get things working in an acceptable manner and when the requirements change (in the lemmy example, this would be scaling requirements) you fix those problems.

    translation step from binary (program): If you are using SQL to store binary data, this might cause performance issues. SQL isn’t an all in one data store, it’s a database for running queries against relational data. I would say this is an architecture problem, as there are better methods for storing and distributing binary blobs of data. If you are talking about parsing strings, string parsing is probably one of the least demanding parts of a SQL query. Prepared statements can also be used to separate the query logic from the data and alleviate the SQL injection attack vector.

    Yes, there are ORMs: And you’ll see a ton of developers despise ORMs. They is an additional layer of abstraction that can either help or hinder depending on the application. Sure, they make things real easy but they can also cause many of the problems you are mentioning, like performance bottlenecks. Query builders can also be used to create SQL queries in a manner similar to an ORM if writing plain string-based queries isn’t ideal.



  • For your own sanity, please use a formatter for your IDE. This will also help when others (and you) read the code, as indentation is a convenience for understanding program flow. From what I see:

    • Your enable and disable functions are never called for this portion of code
    • You use a possibly undeclared enabled variable, if so it never passes scopes between the handleClick and animation methods
    • You do not use any callback or await for invoke or updateCurrentBox, causing all the code after either to immediately run. As a result, enabled is never false, since it just instantly flips back to true. I’m not sure what library invoke is from, but there should be a callback or the function returns a Promise which can be awaited.


  • If you are expecting a more windows-like experience, I would suggest using Ubuntu or Kubuntu (or any other distro using Gnome/KDE), as these are much closer to a modern Windows GUI. With Ubuntu, I can use the default file manager (nautilus) and do Ctrl+F and filter files via *.ext, then select these files then cut and paste to a new folder (drag and drop does not seem to work from the search results). In Kubuntu, the search doesn’t recognize * as a wildcard in KDE’s file manager (dolphin) but does support drag/drop between windows.




  • In my humble opinion, we too are simply prediction machines. The main difference is how efficient our brains are at the large number of tasks given for it to accomplish for it’s size and energy requirements. No matter how complex the network is it is still a mapped outcome, just the number of factors weighed is extremely large and therefore gives a more intelligent response. You can see this with each increment in GPT models that use larger and larger parameter sets giving more and more intelligent answers. The fact we call these “hallucinations” shows how effective the predictive math is, and mimics humans abilities to just make things up on the fly when we don’t have a solid knowledge base to back it up.

    I do like this quote from the linked paper:

    As we will discuss, we find interesting evidence that simple sequence prediction can lead to the formation of a world model.

    That is to say, you don’t need complex solutions to map complex problems, you just need to have learned how you got there. It’s never purely random attempts at the problem, it’s always predictive attempts that try to map the expected outcomes and learn by getting it right and wrong.

    At this point, it seems fair to conclude the crow is relying on more than surface statistics. It evidently has formed a model of the game it has been hearing about, one that humans can understand and even use to steer the crow’s behavior.

    Which is to say that it has a predictive model based on previous games. This does not mean it must rigidly follow previous games, but that by playing many games it can see how each move affects the next. This is a simpler example because most board games are simpler than language with less possible outcomes. This isn’t to say that the crow is now a grand master at the game, but it has the reasoning to understand possible next moves, knows illegal moves, and knows to take the most advantageous move based on it’s current model. This is all predictive in nature, with “illegal” moves being assigned very low probability based on the learned behavior the moves never happen. This also allows possible unknown moves that a different model wouldn’t consider, but overall provides what is statistically the best move based on it’s model. This allows the crow to be placed into unknown situations, and give an intelligent response instead of just going “I don’t know this state, I’ll do something random”. This does not always mean this prediction is correct, but it will most likely be a valid and more than not statistically valid move.

    Overall, we aren’t totally sure what “intelligence” is, we are just an organism that has developed more and more capabilities to process information based on a need to survive. But getting down to it, we know neurons take inputs and give outputs based on what it perceives is the best response for the given input, and when enough of these are added together we get “intelligence”. In my opinion it’s still all predictive, its how the networks are trained and gain meaning from the data that isn’t always obvious. It’s only when you blindly accept any answer as correct that you run into these issues we’ve seen with ChatGPT.

    Thank you for sharing the article, it was an interesting article and helped clarify my understanding of the topic.