Tldr-pages Keeps It Short, Wherever You Need It

December 14, 2024 by Tom Nardi 16 Comments

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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Cranking Up The Detail In A Flight Simulator From 1992

December 5, 2024 by Tom Nardi 21 Comments

Nostalgia is a funny thing. If you experienced the early days of video games in the 1980s and 90s, there’s a good chance you remember those games looking a whole lot better than they actually did. But in reality, the difference between 2023’s Tears of the Kingdom and the original Legend of Zelda is so vast that it can be hard to reconcile the fact that they’re both in the same medium. Of course, that doesn’t mean change the way playing those old games actually makes you feel. If only there was some way to wave a magic wand and improve the graphics of those old titles…

Well, if you consider Ghidra and a hex editor to be magic wands in our community, making that wish come true might be more realistic than you think. As [Alberto Marnetto] explains in a recent blog post, decompiling Stunt Island and poking around at the code allows one to improve the graphical detail level in the flight simulator by approximately 800%. In fact, it’s possible to go even higher, though at some point the game simply becomes unplayable.

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It’s Like LightScribe, But For Floppies!

November 30, 2024 by Jenny List 18 Comments

Back when CD-Rs were the thing, there were CD burner drives which would etch images in the unoccupied areas of a CD-R. These so-called LightScribe drives were a novelty of which most users soon tired, but they’re what’s brought to our mind by [dbalsom]’s project. It’s called PNG2disk, and it does the same job as LightScribe, but for floppies. There’s one snag though; the images are encoded in magnetic flux and thus invisible to the naked eye. Instead, they can be enjoyed through a disk copying program that shows a sector map.

The linked GitHub repository has an example, and goes in depth through the various options it supports, and how to view images in several disk analysis programs. This program creates fully readable disks, and can even leave space for a filesystem. We have to admit to being curious as to whether such an image could be made physically visible using for example ferrofluid, but we’d be the first t admit to not being magnetic flux experts.

PNG2disk is part of the Fluxfox project, a library for working with floppy disk images. Meanwhile LightScribe my have gone the way of the dodo, but if you have one you could try making your own supercaps.

Receipt paper mural from above eye level

Massive Mural From Thermal Receipt Paper

November 26, 2024 by Heidi Ulrich 11 Comments

Turning trash into art is something we undoubtedly all admire. [Davis DeWitt] did just that with a massive mural made entirely from discarded receipt paper. [Davis] got lucky while doing some light dumpster diving, where he stumbled upon the box of thermal paper rolls. He saw the potential them and, armed with engineering skills and a rental-friendly approach, set out to create something original.

The journey began with a simple test: how long can a receipt be printed, continuously? With a maximum length of 10.5 feet per print, [Davis] designed an image for the mural using vector files to maintain a high resolution. The scale of the project was a challenge in itself, taking over 13 hours to render a single image at the necessary resolution for a mural of this size. The final piece is 30 foot (9.144 meters) wide and 11 foot (3.3528 meters) tall – a pretty conversational piece in anyone’s room – or shop, in [Davis]’ case.

Once the design was ready, the image was sliced into strips that matched the width of the receipt paper. Printing over 1,000 feet of paper wasn’t without its issues, so [Davis] designed a custom spool system to undo the curling of the receipts. Hanging the mural involved 3D-printed brackets and binder clips, allowing the strips to hang freely with a kinetic effect.

Though the thermal paper will fade over time, the beauty of this project lies in its adaptability—just reprint any faded strips. Want to see how it all came together? Watch the full process here.

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An Animated Walkthrough Of How Large Language Models Work

November 20, 2024 by Donald Papp 9 Comments

If you wonder how Large Language Models (LLMs) work and aren’t afraid of getting a bit technical, don’t miss [Brendan Bycroft]’s LLM Visualization. It is an interactively-animated step-by-step walk-through of a GPT large language model complete with animated and interactive 3D block diagram of everything going on under the hood. Check it out!

nano-gpt has only around 85,000 parameters, but the operating principles are all the same as for larger models.

The demonstration walks through a simple task and shows every step. The task is this: using the nano-gpt model, take a sequence of six letters and put them into alphabetical order.

A GPT model is a highly complex prediction engine, so the whole process begins with tokenizing the input (breaking up words and assigning numerical values to the chunks) and ends with choosing an appropriate output from a list of probabilities. There are of course many more steps in between, and different ways to adjust the model’s behavior. All of these are made quite clear by [Brendan]’s process breakdown.

We’ve previously covered how LLMs work, explained without math which eschews gritty technical details in favor of focusing on functionality, but it’s also nice to see an approach like this one, which embraces the technical elements of exactly what is going on.

We’ve also seen a much higher-level peek at how a modern AI model like Anthropic’s Claude works when it processes requests, extracting human-understandable concepts that illustrate what’s going on under the hood.

Exploring The Gakken FX Micro-Computer

November 18, 2024 by Alexander Rowsell 13 Comments

Early computer kits aimed at learning took all sorts of forms, from full-fledged computer kits like the Altair 8800 to the ready-made MicroBee Computer-In-A-Book. For those just wanting to dip their toes in the computing world, many low-cost computer “trainers” were released, and Japan had some awesome ones. [Jason Jacques] shows off his Gakken Micro-Computer FX-System (or is it the FX-Computer? Or maybe the FX-Micom? It seems like they couldn’t make up their minds). In any event, it was a combination microcomputer and I/O building blocks system running a custom version of the Texas Instrument TMS1100 microprocessor. Specifically designed to introduce users to the world of computing, the included guide is very detailed and includes 100 example programs and lots of information on how all the opcodes work.

This 4-bit system is similar to the Kenbak computer, with a very simple instruction set and limited address space. However, adding electronic components in plastic blocks brings this machine to a new level of interactivity. Connections can be made to and from the microcomputer block, as well as to the on-board speaker and simple input/output pins. The example circuit displayed on the front cover of the box enables the microcontroller to connect to the speaker and allows a switch to light up a small incandescent bulb. We can imagine many users wiring up all sorts of extra components to their FX-Computers, and with the advent of 3D printing, it wouldn’t be difficult to create new blocks to insert into the grid.

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Register Renaming: The Art Of Parallel Processing

November 16, 2024 by Heidi Ulrich 12 Comments

In the quest for faster computing, modern CPUs have turned to innovative techniques to optimize instruction execution. One such technique, register renaming, is a crucial component that helps us achieve the impressive multi-tasking abilities of modern processors. If you’re keen on hacking or tinkering with how CPUs manage tasks, this is one concept you’ll want to understand. Here’s a breakdown of how it works and you can watch the video, below.

In a nutshell, register renaming allows CPUs to bypass the restrictions imposed by a limited number of registers. Consider a scenario where two operations need to access the same register at once: without renaming, the CPU would be stuck, having to wait for one task to complete before starting another. Enter the renaming trick—registers are reassigned on the fly, so different tasks can use the same logical register but physically reside in different slots. This drastically reduces idle time and boosts parallel tasking. Of course, you also have to ensure that the register you are using has the correct contents at the time you are using it, but there are many ways to solve that problem. The basic technique dates back to some IBM System/360 computers and other high-performance mainframes.

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