Repurposing Old Smartphones: When Reusing Makes More Sense Than Recycling

When looking at the specifications of smartphones that have been released over the past years, it’s remarkable to see how aspects like CPU cores, clockspeeds and GPU performance have improved during this time, with even new budget smartphones offering a lot of computing power, as well as a smattering of sensors. Perhaps even more remarkable is that of the approximately 1.5 billion smartphones sold each year, many will be discarded again after a mere two years of use. This seems rather wasteful, and a recent paper by Jennifer Switzer and colleagues proposes that a so-called Computational Carbon Intensity (CCI) metric should be used to determine when it makes more sense to recycle a device than to keep using it.

What complicates the decision of when it makes more sense to reuse than recycle is that there are many ways to define when a device is no longer ‘fit for purpose’. It could be argued that the average smartphone is still more than good enough after two years to be continued as a smartphone for another few years at least, or at least until the manufacturer stops supplying updates. Beyond the use as a smartphone, they’re still devices with a screen, WiFi connection and a capable processor, which should make it suitable for a myriad of roles.

Unfortunately, as we have seen with the disaster that was Samsung’s ‘upcycling’ concept a few years ago, or Google’s defunct Project Ara, as promising as the whole idea of ‘reuse, upcycle, recycle’ sounds, establishing an industry standard here is frustratingly complicated. Worse, over the years smartphones have become ever more sealed-up, glued-together devices that complicate the ‘reuse’ narrative.

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Let Machine Learning Code An Infinite Variety Of Pong Games

In a very real way, Pong started the video game revolution. You wouldn’t have thought so at the time, with its simple gameplay, rudimentary controls, some very low-end sounds, and a cannibalized TV for a display, but the legendarily stuffed coinboxes tell the tale. Fast forward 50 years or so, and Pong has been largely reduced to a programmer’s exercise to see how few lines of code can stand in for what [Ted Dabney] and [Allan Alcorn] accomplished. But now even that’s too much, as OpenAI Codex can generate a playable Pong from just a few prompts, at least most of the time. Continue reading “Let Machine Learning Code An Infinite Variety Of Pong Games”

BBS Builder Is A Framework For Running Your Own PETSCII Paradise

The 80s and 90s were the glory days of the BBS. The plain old telephone system was responsible for bringing us connection to other digital beings, along with plenty of spuriously-obtained software and inappropriate ASCII art. [Francesco Sblendorio] has created BBS Builder to harken back to this great era, allowing people to build their own BBSs as they see fit!

BBS Builder consists of basic classes for construction a BBS that operates in PETSCII mode. If that’s unfamiliar to you, it’s the character encoding created by Commodore, also known as CBM ASCII. BBSs created through this software can be accessed by a variety of appropriately 80s machines. The Github page outlines how to create a basic BBS using the code that can be customized to your own liking.

[Francesco] notes the system is compatible with Commodore 64s running RR-NET compatible network cards, WiFi modem cards, and 1541Ultimate hardware using UltimateTerm. Various other methods are supported too, as well as PCs and Macs running Syncterm.

Running a BBS was like running your own website back in the day. With that said, they also had a distinct community flair that is somehow missing from today’s web. Be sure to sound off with your favorite BBS in the comments!

Decoding 433 MHz Signals With Arduino & Raspberry Pi

433 MHz radio signals are all around us. They’re used for things like smart power plugs, garage door openers, and home weather stations. Decoding these signals can allow you to interface and work with these devices on your own terms. To help in those efforts, [Joonas Pihlajamaa] has written a three-part tutorial on decoding these signals.

A soundcard makes for a very cheap oscilloscope.

The focus of the tutorials is decoding the signals of a Nexa radio-controlled smart plug. [Joonas] first explores using an Arduino to do the job, paired with a RFM210LCF-433D radio receiver module. This setup dumps out data to a computer over serial for decoding. [Joonas] then tried an alternative strategy, using a soundcard as a “poor man’s oscilloscope” to do the same job, using the same radio module and using Audacity for signal analysis. Finally, [Joonas] brought out the big guns, hooking up a Picoscope digital oscilloscope to a Raspberry Pi 4 for a more deluxe attempt at decoding the signals.

The tutorial goes to show that higher-end tools can make such a job much easier. However, the cheaper techniques are a great way of showing what can be done with the bare minimum in tools. We’re hoping for an exciting fourth part to [Joonas’s] work, where he instructs us on how to decode 433 MHz signals by drinking huge amounts of caffeine and staring at a very fast blinking LED. If you’ve got your own nifty signal analysis (or SIGINT!) hacks, be a good sport and drop them into the tipsline!

 

Breadboarding A Game Boy From Scratch

The original Nintendo Game Boy is a stout piece of hardware in a solid plastic enclosure. [Raphael Stäbler] recreated the popular handheld on a breadboard instead, in a fully-functional way, to boot.

[Raphael]’s build doesn’t rely on a real Game Boy CPU or components. Instead it’s emulated with the aid of a Teensy 4.1 microcontroller. [Raphael] coded up an emulator from scratch, instruction by instruction, something he’s documented on his own blog. The Teensy is placed on a breadboard, and hooked up with a series of 8 buttons to serve as the controls. Audio output is via a LM386 acting as a simple audio amp, hooked up with an original Game Boy speaker for more authentic sound. Display is thanks to a FT81x display driver running a small LCD. Games are loaded via an SD card formatted in the FAT32 file system.

While it’s not as ergonomic as the original Nintendo console, it works, and works well! It’s an impressive project to see the Game Boy recreated from scratch inside a powerful microcontroller. We’ve seen other projects go to similar lengths before. Video after the break.

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Hackaday Links: January 29, 2023

We’ve been told for ages that “the robots are coming for our jobs!” It’s true that we’ve seen robots capable of everything from burger flipping to bricklaying being demonstrated, and that’s certainly alarming for anyone employed in such trades. But now it looks like AI has set its sights set on the white-collar world, with the announcement that ChatGPT has managed a passing grade on a Wharton MBA exam.

For those not in the know, the University of Pennsylvania’s Wharton School of Business is in the major league of business schools; earning a Master’s in Business Administration from that august institution is no mean feat, and is likely to put the budding executive on a ballistic career trajectory. So the fact that ChatGPT could pass the exam is significant. But before you worry about a world in which our best and brightest business leaders are replaced with soulless automatons, relax. The exam presented to ChatGPT was just a final exam for one course, Operations Management, so it’s not like it aced everything an MBA is expected to know, and it took a lot of hints from a human helper to get it that far. It’s also reported that it made a lot of simple math mistakes, too, so maybe a Wharton MBA isn’t that much of a big deal after all.

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Hackaday Podcast 203: Flashlight Fuel Fails, Weird DMA Machines, And A 3D Printed Prosthetic Hand Flex

This week, Editor-in-Chief Elliot Williams and Managing Editor Tom Nardi meet up virtually to talk about all the hacks that are fit to print. This week’s episode starts off with a discussion about the recently unveiled 2023 Hackaday.io Low-Power Challenge, and how hackers more often than not thrive when forced to work within these sort of narrow parameters. Discussion then continues to adding a virtual core to the RP2040, crowd-sourced device reliability information, and mechanical Soviet space computers. We’ll wrap things up by wondering what could have been had Mattel’s ill-fated ThingMaker 3D printer actually hit the market, and then engage in some wild speculation about the issues plaguing NASA’s latest Moon mission.

Check out the links below if you want to follow along, and as always, tell us what you think about this episode in the comments!

Available in the cloud, or as download!

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