There was a time in the late 80s and early 90s where the Amiga was the standard for computer graphics. Remember SeaQuest? That was an Amiga. The intro to Better Call Saul? That’s purposefully crappy, to look like it came out of an Amiga. When it comes to the Amiga and video, the first thing that comes to mind is the Video Toaster, hardware and software that turns an Amiga 2000 into a nonlinear video editing suite. Digital graphics, images, and video on the Amiga was so much more than the Video Toaster, and at this year’s Vintage Computer Festival East, [Bill] and [Anthony] demonstrated what else the Amiga could do.
ImplicitCAD: Programmatic CAD Built With 3D Printing In Mind

Programmatic CAD, in particular the OpenSCAD language and IDE, has accompanied the maker movement for a while now. After its introduction in 2009, it quickly found its way into the 3D printing toolbox of many makers and eventually became what could be called an Industry Standard among open hardware labs, makerspaces and tinkerers. The Prusa i3, one of the most popular DIY 3D printers, was designed in OpenSCAD, and even Makerbot, the company that sold 100.000 3D printers, uses the language for its “Customizer” – an online tool that allows users to customize 3D printable models with minimal effort.
OpenSCAD is indeed a wonderful tool, and we have been using it a lot. We have become used to its quirks and accepted working with polygon mesh approximations of the models we are trying to design. We have made our peace with excessive rendering times, scripting workarounds and the pain of creating fillets, and we have learned to keep our aesthetic expectations low. We are happy with the fact that there is a way to programmatically create and share virtually any object, but sometimes we wish there was a better way in the open source world. Hint: there is.
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The Predictability Problem With Self-Driving Cars
A law professor and an engineering professor walk into a bar. What comes out is a nuanced article on a downside of autonomous cars, and how to deal with it. The short version of their paper: self-driving cars need to be more predictable to humans in order to coexist.
We share living space with a lot of machines. A good number of them are mobile and dangerous but under complete human control: the car, for instance. When we want to know what another car at an intersection is going to do, we think about the driver of the car, and maybe even make eye contact to see that they see us. We then think about what we’d do in their place, and the traffic situation gets negotiated accordingly.
When its self-driving car got into an accident in February, Google replied that “our test driver believed the bus was going to slow or stop to allow us to merge into the traffic, and that there would be sufficient space to do that.” Apparently, so did the car, right before it drove out in front of an oncoming bus. The bus driver didn’t expect the car to pull (slowly) into its lane, either.
All of the other self-driving car accidents to date have been the fault of other drivers, and the authors think this is telling. If you unexpectedly brake all the time, you can probably expect to eventually get hit from behind. If people can’t read your car’s AI’s mind, you’re gonna get your fender bent.
The paper’s solution is to make autonomous vehicles more predictable, and they mention a number of obvious solutions, from “I-sense-you” lights to inter-car communication. But then there are aspects we hadn’t thought about: specific markings that indicate the AIs capabilities, for instance. A cyclist signalling a left turn would really like to know if the car behind has the new bicyclist-handsignal-recognition upgrade before entering the lane. The ability to put your mind into the mind of the other car is crucial, and requires tons of information about the driver.
All of this may require and involve legislation. Intent and what all parties to an accident “should have known” are used in court to apportion blame in addition to the black-and-white of the law. When one of the parties is an AI, this gets murkier. How should you know what the algorithm should have been thinking? This is far from a solved problem, and it’s becoming more relevant.
We’ve written on the ethics of self-driving cars before, but simply in terms of their decision-making ability. This paper brings home the idea that we also need to be able to understand what they’re thinking, which is as much a human-interaction and legal problem as it is technological.
[Headline image: Google Self-Driving Car Project]
First Hackaday Prize Challenge Closes In One Week
The first five weeks of the Hackaday Prize have flown by but many of you have already been busy, submitting over 400 entries! For those that haven’t (or for those considering a second entry) there’s still time. You have until 7am PDT on Monday 4/25 to Design Your Concept.
20 Entries Will Win $1000
This is the round that everyone should enter. It’s all about documenting your idea to solve a technology problem; showing you have a plan that will lead to success. From this first challenge, 20 entries will be selected to win $1000 each and move on to the final round of the 2016 Hackaday Prize.
Design with a Team During World Create Day
That’s right, you don’t need to build anything to be eligible for this round. It’s the perfect opportunity to get your engineering dream team together for an afternoon and come up with that impressive design concept. We’re making this even easier with Hackaday World Create Day. This Saturday, 4/23, there will be Hackaday Meetups all over the world. Show up, brainstorm your concept, and submit it as an entry. Many of the World Create Day meetups have more in store, like talks and socializing. Don’t miss this opportunity to meet the Hackaday community in your town!
How To Know When An Accelerator Is Not Right For Your Startup
A few weeks ago we ran an article on the benefits of accelerator programs. While I agreed with almost everything in it, the article still bothered me, and I wanted to start a discussion about when an accelerator is not appropriate. So many startups are regularly asked “have you thought about Kickstarter? Shark Tank? Are you raising money? YCombinator?” These questions are constantly ingrained into people’s brains and they come to think those are the only options.
The reality is that there are lots of ways to build a company, and Kickstarter, Shark Tank, angel investors, and accelerators are all new within the last few years, and they aren’t right for many people. So let’s look at when an accelerator is right for you.
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Bootstrapping An Amiga 2000 Graphics Card Because Vintage Is Pricey
If you have a computer on your desk today, the chances are that it has an Intel architecture and is in some way a descendant of the IBM PC. It may have an Apple badge on the front, it may run Linux, or Windows, but in hardware terms the overwhelming probability is that it will be part of the Intel monoculture. A couple of decades ago though in the 16- and early 32-bit era you would have found a far greater diversity of architectures. Intel 3-, and 486s in PCs and clones, Macintosh, Commodore, and Atari platforms with the 68000 family, the WDC 65C816 in the Apple IIGS, and the Acorn Archimedes with an early ARM processor to name but a few.
In the tough environment of the 1990s most of these alternative platforms fell by the wayside. Apple survived to be revitalised under a returning Steve Jobs, Atari and Commodore withered under a bewildering succession of takeovers, and Acorn split up and lost its identity with its processor licensing subsidiary going on to power most of the mobile devices we take for granted today.
Surprisingly though some of the 16-bit platforms refused to die when their originators faded from view. In particular Commodore’s Amiga has lived on with new OS versions, new platforms, and community-supported hardware upgrades. News of just such a device came our way this morning, [Lukas Hartmann]’s MNT VA2000, a graphics card for the Amiga 2000 using a GPU implemented on an FPGA.
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Sciencing DVD-RW Laser Diodes
If you’ve played around with laser diodes that you’ve scavenged from old equipment, you know that it can be a hit-or-miss proposition. (And if you haven’t, what are you waiting for?) Besides the real risk of killing the diode on extraction by either overheating it or zapping it with static electricity, there’s always the question of how much current to put into the thing.
[DeepSOIC] decided to answer the latter question — with science! — for a DVD-burner laser that he’s got. His apparatus is both low-tech and absolutely brilliant, and it looks like he’s getting good data. So let’s have a peek.

First up is the detector, which is nothing more than a photodiode, 100k ohm load resistor, and a big capacitor for a power supply. We’d use a coin-cell battery, but given how low the discharge currents are, the cap makes a great rechargeable alternative. The output of the photo diode goes straight into the scope probe.
He then points the photodiode at the laser spot (on a keyboard?) and pulses the laser by charging up a capacitor and discharging it through the laser and a resistor to limit total current. The instantaneous current through the laser diode is also measured on the scope. Plotting both the current drawn and the measured brightness from the photodiode gives him an L/I curve — “lumens” versus current.
Look on the curve for where it stops being a straight line, slightly before the wiggles set in. That’s about the maximum continuous operating current. It’s good practice to de-rate that to 90% just to be on the safe side. Here it looks like the maximum current is 280 mA, so you probably shouldn’t run above 250 mA for a long time. If the diode’s body gets hot, heatsink it.
If you want to know everything about lasers in general, and diode lasers in particular, you can’t beat Sam’s Laser FAQ. We love [DeepSOIC]’s testing rig, though, and would love to see the schematic of his test driver. We’ve used “Sam’s Laser Diode Test Supply 1” for years, and we love it, but a pulsed laser tester would be a cool addition to the lab.
What to do with your junk DVD-ROM laser? Use the other leftover parts to make a CNC engraver? But we don’t need to tell you what to do with lasers. Just don’t look into the beam with your remaining good eye!











