If you already have medical knowledge, why not look into bioinformatics? Cyber security would be a pretty big jump if you're not into tweaking computers as a hobby. For example, have you ever set up Linux on your own?
Certifications will give you a starting point, but it will take years for all the information to settle properly in your mind.
Piracy. I'd buy albums if I had money, though. I'll slowly phase into getting them once I get some more cash.
I can find most stuff I listen to, and I rarely grow my music library. I mostly listen to 20-30 albums, with some more mainstream music peppered in.
My music library currently sits at 90 gigabytes (mostly flacs), so quite small compared to others I've seen around here. Still, I have plenty of variation to keep me entertained :D
If you have Tidal, aren't there some apps to rip the lossless audio from there? You could get most of the stuff that you need, and then cancel the subscription. If you feel bad, maybe order some merch from the band, haha.
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If I remember correctly, even though Fuchsia is used in production, it is mainly targetting mobile or IoT devices. Nevertheless, the underlying micro-kernel, Zircon, is written in C/C++, which differs from Redox. Now, I'm not saying that Redox solves everything by writing the kernel in Rust. It will require plenty unsafe blocks to achieve what it needs, but it makes you aware beforehand that you should be careful about how you implement that bit of code. Having this clear marking could also make the kernel code review process more likely to catch issues.
Disregarding this, if I am not mistaken, Redox aims to be a drop-in replacement for Linux one day, both for desktop and server, while Fuchsia only wishes to be integrated in/replace Android. Linux is perfectly fine for most use cases, I am not suggesting otherwise! However, given how many issues resulted from overflow/memory corruption issues that could have been potentially easier to identify if Rust (or any other memory safe language) was used, you'd think that there is incentive to rely on it for kernel development. Linus himself made this decision as well when allowing Rust to be used in the Linux kernel development (albeit perhaps a bit too early).
The Linux kernel is not flawed, and Redox is probably years away from being even near it. However, having memory-safety from the get-go as a requirement for developing the kernel could lead to fewer exploits, compared to what we have today with Linux. Just as you've said, most users are not aware of it/they don't care, but the big players will care about keeping information safe on their servers. Just to conclude, Redox OS is not just Linux rewritten in Rust, and could potentially have many other benefits that are particularly juicy for data centers. Too bad it's not production ready yet :D
I see your point. However, integrating Rust properly in the Linux kernel is an uphill battle. Redox OS is not at all close to being stable, but it showcases that you can build a Rust kernel from scratch, and integrate it into an OS that meets some of the requirements of a modern one. Of course, considering it a toy project and glancing over its potential doesn't help with adoption. They even mention in their description that currently they can only support a community manager and a student developer with the current donations. When you compare that to the amount of money and developers involved in the Linux kernel, it's insignificant.
I was not suggesting that the Rust For Linux devs jump ship, but it could be beneficial for the investors behind the project to look at alternatives. Heck, the Linux kernel started as a toy project itself. I believe that a team focused solely on such a Rust-only kernel could spearhead needed changes to reach something stable, as opposed to investing time and money into fighting established C developers to integrate a memory-safe language in the kernel fully.
If I am not mistaken, the difference was that the Internet Archive was distributing books with a DRM that would make the PDF unusable after a certain time. You could relate it to how a physical library offers books for a limited time, for free. Now, of course, one could bypass the DRM or copy the contents differently, but so can another person photocopy a book they borrowed physically. Meanwhile, other physical libraries are allowed to distribute e-books, but I'm not sure if that's made possible due to licensing fees.
I'm not saying that they approached this well, especially given the copyright laws in the US, but it was indeed a good thing for the normal person at the time. Too bad that the judicial system in the US is biased towards leeching companies. I really can't wait to see the AI vs publishers fight, though. Let's see who has deeper pockets and better plants in the courts :D
Organic Maps. Make sure you download the areas beforehand. The resolution for walking paths is much nicer, and you can clearly see the routes of temples and other points of interest.
It also shows data about drinking faucets, toilets, and other things provided by users.
Good luck! You can try the huggingface-chat repo, or ollama with this web-ui. Both should be decent, as they have instructions to set up a docker container.
I believe the Llama 3 models are out there in a torrent somewhere, but I didn't dig to find it. For the 70B model, you'll probably need around 64GB of RAM available, but the 7B one should run fine with just 8GB. It will be somewhat slow though, compared to the ChatGPT experience. The self-attention mechanism can be parallelized, which is why you will see much better results on a GPU. According to some others that tested it, if you offload some stuff to RAM, you could see ~10-12 tokens per second on an RTX 3090 for certain 70B models. But more capable ones will be at less than 1 token per second, all depending on the context window you use.
If you don't have a GPU available, just give the Phi-3 model a try :D If you quantize it to 4 bits, it can apparently get 12 tokens per second on an iPhone haha. It should play nice with pooling information from a search engine, or a vector database like milvus, qdrant or chroma.
What db2 already said. Microsoft just released Phi-3 mini, which could, allegedly, run locally on newer smartphones.
If I understood correctly, the Rabbit thingy just captures your information locally and then forwards it to their server. So, if you want more power, you could probably do the same by submitting the same info to a bigger open source model than Phi-3, like Llama 3, hosted on your homelab. I believe you can set it up with huggingface/gradio, which sort of provides an API that you could use.
That way, you don't need a shitty orange box, and can always get the latest open source models with a few lines of code. There are plenty of open source frameworks in the works at the moment, and I believe that we're not far off from having multi-modal LLMs running on homelab-level hardware (if you don't mind a bit of lag).
That is good to know. Tried the free version of Roll20 before, and it definitely felt lacking in certain areas. Oh, and thanks for letting me know about the sale! I'll definitely keep an eye out for that one :)
How will you move to WhatsApp if everyone else uses iMessage? Europe has the same issue, but reversed. Everyone uses WhatsApp and can't jump to Signal/Telegram because they're not as popular.
Hello everyone! I've been playing around with Wayland for a bit and was hoping to start learning some more about it. For example, I would be interested in making a lock screen, similar to Swaylock, as a toy project.
What GUI toolkit would you use to develop apps on Wayland? I've added a little poll below with some of the popular choices I've seen thrown around. Feel free to add your own suggestions and maybe leave a comment as to why you'd use that!
I'm really sorry to hear that. I hope you have enough support to deal with it!
Regarding bioinformatics, it doesn't have to be a human-centered job. You can get into the data science aspect of it, and make good money off of helping research diseases, for example. This could also be a remote job, and you'd probably have an easier time getting into it. For data science, you can get quite far with Python, which is easier to pick up when compared with other languages.
You can also explore your options further by just asking ChatGPT, and seeing what the potential job requirements would be. It's decent if you want to brainstorm some stuff, but do look up the information yourself on search engines. Write there your experience, what you'd want, and what to expect if you were to jump in that field. Perhaps this could help you decide better.
I wish you the best of luck!