Tldr-pages Keeps It Short, Wherever You Need It

Let’s face it, even the most accomplished console cowboy can’t keep everything memorized. Sure, you might know all the important arguments for a daily-use tool like tar or ls, but what about the commands you don’t use that often? For that matter, even if you do use tar every day, we bet you don’t know all of the options it supports.

Built-in documentation or the man pages are of course a huge help, but they are dense resources. Sometimes what you really need is to see just a few key examples. When that happens, check out the tldr-pages project and its array of front-ends. Whether you’re working remotely on an embedded gadget, or have the luxury of a full desktop OS and browser, the project offers a way to get the help you need as quickly as possible.

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Back Up Your Data On Paper With Lots Of QR Codes

QR codes are used just about everywhere now, for checking into venues, ordering food, or just plain old advertising. But what about data storage? It’s hardly efficient, but if you want to store your files in a ridiculous paper format—there’s a way to do that, too!

QR-Backup was developed by [za3k], and is currently available as a command-line Linux tool only. It takes a file or files, and turns them into a “paper backup”—a black-and white PDF file full of QR codes that’s ready to print. That’s legitimately the whole deal—you run the code, generate the PDF, then print the file. That piece of paper is now your backup. Naturally, qr-backup works in reverse, too. You can use a scanner or webcam to recover your files from the printed page.

Currently, it achieves a storage density of 3KB/page, and [za3k] says backups of text in the single-digit megabyte range are “practical.” You can alternatively print smaller, denser codes for up to 130 KB/page.

Is it something you’ll ever likely need? No. Is it super neat and kind of funny? Yes, very much so.

We’ve seen some other neat uses for QR codes before, too—like this printer that turns digital menus into paper ones. If you’ve got your own nifty uses for these attractive squares, let us know!

Using Local AI On The Command Line To Rename Images (And More)

We all have a folder full of images whose filenames resemble line noise. How about renaming those images with the help of a local LLM (large language model) executable on the command line? All that and more is showcased on [Justine Tunney]’s bash one-liners for LLMs, a showcase aimed at giving folks ideas and guidance on using a local (and private) LLM to do actual, useful work.

This is built out from the recent llamafile project, which turns LLMs into single-file executables. This not only makes them more portable and easier to distribute, but the executables are perfectly capable of being called from the command line and sending to standard output like any other UNIX tool. It’s simpler to version control the embedded LLM weights (and therefore their behavior) when it’s all part of the same file as well.

One such tool (the multi-modal LLaVA) is capable of interpreting image content. As an example, we can point it to a local image of the Jolly Wrencher logo using the following command:

llava-v1.5-7b-q4-main.llamafile --image logo.jpg --temp 0 -e -p '### User: The image has...\n### Assistant:'

Which produces the following response:

The image has a black background with a white skull and crossbones symbol.

With a different prompt (“What do you see?” instead of “The image has…”) the LLM even picks out the wrenches, but one can already see that the right pieces exist to do some useful work.

Check out [Justine]’s rename-pictures.sh script, which cleverly evaluates image filenames. If an image’s given filename already looks like readable English (also a job for a local LLM) the image is left alone. Otherwise, the picture is fed to an LLM whose output guides the generation of a new short and descriptive English filename in lowercase, with underscores for spaces.

What about the fact that LLM output isn’t entirely predictable? That’s easy to deal with. [Justine] suggests always calling these tools with the --temp 0 parameter. Setting the temperature to zero makes the model deterministic, ensuring that a same input always yields the same output.

There’s more neat examples on the Bash One-Liners for LLMs that demonstrate different ways to use a local LLM that lives in a single-file executable, so be sure to give it a look and see if you get any new ideas. After all, we have previously shown how automating tasks is almost always worth the time invested.

AI Assistant Translates Your Every Request For The Command Line

If you don’t live on the command line, it can be easy to forget the exact syntax of commands. It often leaves you running to the “/?” or “–help” switches, or else a quick Google search to find the proper incantations. Shell-AI is a machine-learning assistant that could change all that by helping you find the proper command for the job, right on the command line!

Shell-AI accepts natural-language inputs — simply type in “shai” followed by what you’re trying to do. It will then take in your request, run it through an OpenAI language model like GPT-3.5-Turbo, and then present you with three (or more) potential commands. You can then select which command to use and get on with your day.

As demonstrated, it’s more than capable of following commands like “download a random image” or “show only image files ls.” And, hilariously, it responds to the request “do something crazy” with just one suggestion: “rm -rf”. That seems rather fitting.

We wouldn’t blindly follow any commands coming out of a large language model, of course. But, if you know what you’re doing, it could prove a useful little tool to ease your regular duties on the command line.

Linux Fu: Making Progress

The computer world looks different from behind a TeleType or other hardcopy terminal. Things that tend to annoy people about Unix or Linux these days were perfectly great when you were printing everything the computer said to you. Consider the brevity of most basic commands. When you copy a file, for example, it doesn’t really tell you much other than it returns you to the prompt when it is done. If you are on a modern computer working with normal-sized files locally, not a big deal. But if you are over a slow network or with huge files, it would be nice to have a progress bar. Sure, you could write your own version of copy, but wouldn’t it be nice to have some more generic options?

One Way

The pv program can do some of the things you want. It monitors data through a pipe or, at least through its standard output. Think of it as cat with a meter. Suppose you want to write a diskimage to /dev/sdz:

cat diskz.img >/dev/sdz

But you could also do:

pv diskz.img >/dev/sdz

By default, pv will show a progress bar, an elapsed time, an estimated end time, a rate, and a total number of bytes. You can turn any of that off or add things using command line options. You can also specify things like the size of the terminal if it should count lines instead of bytes, and, in the case where the program doesn’t know what it is reading, the expected size of the transfer.

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CoreFreq Gives Peek At CPU Performance Info On Linux

The CPU is the part of the computer that makes everything else tick. While GPUs have increasingly become a key part of overall system performance, we still find ourselves wanting to know how our CPU is doing. CoreFreq is a Linux tool that aims to tell you everything you want to know about your modern 64-bit CPU.

The tool relies on a kernel module, and is coded primarily in C, with some assembly code used to measure performance as accurately as possible. It’s capable of reporting everything from core frequencies to details on hyper-threading and turbo boost operation. Other performance reports include information on instructions per cycle or instructions per second, and of course, all the thermal monitoring data you could ask for. It all runs in the terminal, which helps keep overheads low.

The hardcore among us can build it from source, available on GitHub, though it’s reportedly available in package form, and as a live CD, too. We could imagine data captured from CoreFreq could be used for some fun performance visualizations, too. If you’ve been whipping up your own nifty command-line tools, be sure to drop us a line!

Cat9 And LASH Want To Change Your Linux Command Line

It is no secret that to be a true Linux power user you have to deal with the command line. Many people actually prefer to use the command line. However, the shell — the program that provides that command line — is mired in a back history which means it has to work with existing things no matter how modern it tries to be. However, a new set of projects wants to replace most of your user interface stack starting with the shell. At the top of that stack is Cat9 which is technically a shell, but not in the way you probably imagine a shell.

A traditional shell lets you run programs one at a time, feed them input, and observe their output. Sure, you can stash the output away for later use. You can run programs in the background or in parallel, but that requires special attention. In Cat9, everything is asynchronous and results stay around until you deliberately drop them. It is trivial to grab data from a previous command or, for example, to switch to a directory that was in use by an earlier task.

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