Ask Hackaday: Incidental Earthquake Detection

It never seems to fail: at the very moment that human society seems to reach a new pinnacle of pettiness, selfishness, violence, and self-absorption, Mother Nature comes along and reminds us all who’s really in charge. The obvious case in point here is the massive earthquakes near the border of Turkey and Syria, the appalling loss of life from which is only now becoming evident, and will certainly climb as survivors trapped since the Monday quakes start to succumb to cold and starvation.

Whatever power over nature we think we can wield pales by comparison with the energy released in this quake alone, which was something like 32 petajoules. How much destruction such a release causes depends on many factors, including the type of quake and its depth, plus the soil conditions at the epicenter. But whatever the local effects on the surface, quakes like these have a tendency to set the entire planet ringing like a bell, with seismic waves transmitted across the world that set the needles of professionally maintained seismometers wiggling.

For as valuable as these seismic networks are, though, there’s a looser, ad hoc network of detection instruments that are capable of picking up quakes as large as these from half a planet away. Some are specifically built to detect Earth changes, while some are instruments that only incidentally respond to the shockwaves traveling through the planet. And we want to know if this quake showed up in the data from anyone’s instruments.

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Smart Ovens Are Doing Dumb Checks For Internet Connectivity

If you’ve ever worked in IT support, you’ll be familiar with users calling in to check if the Internet is up every few hours or so. Often a quick refresh of the browser is enough to see if a machine is actually online. Alternatively, a simple ping or browsing to a known-working website will tell you what you need to know. The one I use is koi.com, incidentally.

When it comes to engineers coding firmware for smart devices, you would assume they have more straightforward and rigorous ways of determining connectivity. In the case of certain smart ovens, it turns out they’re making the same dumb checks as everyone else.

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Now ChatGPT Can Make Breakfast For Me

The world is abuzz with tales of the ChatGPT AI chatbot, and how it can do everything, except perhaps make the tea. It seems it can write code, which is pretty cool, so if it can’t make the tea as such, can it make the things I need to make some tea? I woke up this morning, and after lying in bed checking Hackaday I wandered downstairs to find some breakfast. But disaster! Some burglars had broken in and stolen all my kitchen utensils! All I have is my 3D printer and laptop, which curiously have little value to thieves compared to a set of slightly chipped crockery. What am I to do!

Never Come Between A Hackaday Writer And Her Breakfast!

OK Jenny, think rationally. They’ve taken the kettle, but I’ve got OpenSCAD and ChatGPT. Those dastardly miscreants won’t come between me and my breakfast, I’m made of sterner stuff! Into the prompt goes the following query:

"Can you write me OpenSCAD code to create a model of a kettle?" Continue reading “Now ChatGPT Can Make Breakfast For Me”

Detecting Machine-Generated Content: An Easier Task For Machine Or Human?

In today’s world we are surrounded by various sources of written information, information which we generally assume to have been written by other humans. Whether this is in the form of books, blogs, news articles, forum posts, feedback on a product page or the discussions on social media and in comment sections, the assumption is that the text we’re reading has been written by another person. However, over the years this assumption has become ever more likely to be false, most recently due to large language models (LLMs) such as GPT-2 and GPT-3 that can churn out plausible paragraphs on just about any topic when requested.

This raises the question of whether we are we about to reach a point where we can no longer be reasonably certain that an online comment, a news article, or even entire books and film scripts weren’t churned out by an algorithm, or perhaps even where an online chat with a new sizzling match turns out to be just you getting it on with an unfeeling collection of code that was trained and tweaked for maximum engagement with customers. (Editor’s note: no, we’re not playing that game here.)

As such machine-generated content and interactions begin to play an ever bigger role, it raises both the question of how you can detect such generated content, as well as whether it matters that the content was generated by an algorithm instead of by a human being.

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The Radioactive Source Missing In Australian Desert Has Been Found

Nuclear material is relatively safe when used, stored, and managed properly. This generally applies to a broad range of situations, from nuclear medicine to nuclear power generation. Some may argue it’s impossible to use nuclear weapons safely. In any case, stringent rules exist to manage nuclear material for good reason.

Sometimes, though, things go wrong, mistakes are made, and that nuclear material ends up going AWOL. That’s the situation that faced authorities in Australia, as they scoured over a thousand kilometers of desert highway for a tiny missing radioactive source with the potential to cause serious harm. Thankfully, authorities were able to track it down.

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Do You Need The Raspberry Pi Camera Module V3?

This month came the announcement of some new camera modules from Raspberry Pi. All eyes were on version 3 of their standard camera module, but they also sneaked out a new version of their high quality camera with an M12 lens mount. The version 3 module is definitely worth a look, so I jumped on a train to Cambridge for the Raspberry Pi Store, and bought myself one for review.

There’s nothing new about a Pi camera module as they’ve been available for years in both official and third party forms, so to be noteworthy the new one has to offer something a bit special. It uses a 12 megapixel sensor, and is available both in autofocus and wide angle versions in both standard and NoIR variants. Wide angle and autofocus modules may be new in the official cameras, but these are both things which have been on the third-party market for years.

So if an autofocus camera module for your Pi isn’t that new, what can we bring to a review that isn’t simply exclaiming over the small things? Perhaps it’s better instead to view the new camera in the context of the state of the Pi camera ecosystem, and what better way to do that than to turn a Pi and some modules into a usable camera! Continue reading “Do You Need The Raspberry Pi Camera Module V3?”

Open-Sourcing The Lisa, Mac’s Bigger Sister

Forty years ago, on January 19th of 1983, Apple released the Lisa, which was in many ways a revolutionary system. On January 19th of 2023, to celebrate the system’s 40th birthday, the Computer History Museum released the source code for Lisa OS version 3.1 under the Apple Academic License Agreement. Written in Pascal, the source includes over 1,300 source files, covering the OS itself, the Lisa Toolkit development system and a number of applications. The questions one might ask at this point include what the Apple Lisa even is, and why it was such an important system in computer history.

This especially in light of the terrible flop that the Lisa turned out to be, with only 10,000 units sold over two years. Part of this failure was definitely due to the introductory price, that was set at $9,995 (over $27,000 in 2021 dollars). Although it featured an OS with memory protection, despite the lack of an MMU on the Motorola 68k, among other advanced features that placed it well beyond other desktop computers of the time, it got quickly crushed in the market by Apple’s MacIntosh, even after successive Lisa successor releases that sought to address its shortcomings.

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