Never underestimate the ingenuity of the demoscene. The self-imposed limitations lead to incredible creativity, and, the range of devices they manage to get their demos running on never ceases to amaze us. But we never thought we’d see a C64 demo without one central component: the C64.
Full disclosure: [Matthias Kramm]’s demo, called “Freespin”, does need a C64 to get started. The venerable 6502-based computer runs a loader program on a 1541 disk drive. But from then on, it’s all floppy drive. And [Matthias] has laid bare all his tricks.
The video below shows the demo in full, including a heart-stopping on-camera cable mod. By adding a single 100 Ω resistor, [Matthias] turned the serial clock and data lines into a two-bit digital-to-analog converter, good enough to generate signals for both black and white pixels and the sync pulses needed for the display.
No demo would be complete without sound, and Freespin’s tunes come from controlling the drive’s stepper motor, like a one-voice Floppotron.
Watching nothing but a floppy drive run a cool demo is pretty amazing. Yes, we know there’s a full-fledged computer inside the floppy, but the bit-banging needed to make this work was still mighty impressive. It might be cool to see what you could do with multiple drives, but we understand the minimalistic aesthetic as well. And speaking of tiny little demos: the 256 bytes of [HellMood]’s “Memories” or [Linus Åkesson]’s “A Mind is Born” still leave us speechless.
Old-school rotary telephones aren’t particularly useful for their original intended purpose in this day and age, but they’re great fun to hack into new projects. [Linus Åkesson] has done just that, with his Dial-a-SID jukebox build. (Video, embedded below.)
The build installs a Raspberry Pi 3 inside the body of the telephone, running a SID chip emulator and loaded up with the High Voltage SID Collection. The Pi inside outputs sound to an external stereo system for playing chiptunes at a party.
The real party piece, however, is that the handset can be lifted and the telephone dialled in order to listen to and select tracks for the playlist. Tracks can be selected by individual codes, by composer, or even by year. In the event the playlist grows empty, the default behaviour can be set to keep playing random tracks in the meantime.
With over 2000 hours of SID music inside, it’s unlikely the Dial-a-SID will run out of tunes anytime soon. We’d love to see a similar interface used for a jukebox hooked up to a modern streaming service, too. If you build one, let us know! Alternatively, consider hooking up your rotary phone to your smartphone. Video after the break.
The inner machinations of the mind of cryptocurrency markets are an enigma. Even traditional stock markets often seem to behave at random, to the point that several economists seriously suggest that various non-human animals might outperform one market or another just by random chance alone. The classic example is a monkey picking stocks at random, but in the modern world the hamster [Mr Goxx] actively trades crypto from inside his hamster cage.
[Mr Goxx]’s home comprises a normal apartment and a separate office where he can make his trades. The office contains an “intention wheel” where he can run in order to select a currency to trade, and two tunnels that [Mr Goxx] can use to declare his intention to buy or sell the currency he selected with the wheel. The wheel is connected to an Arduino Nano with an optical encoder, and the Nano also detects the hamster’s presence in the “buy” or “sell” tunnel and lights up status LEDs when he wants to execute a trade. The Nano also communicates with an intricate Java program which overlays information on the live video feed and also executes the trades in real life with real money.
Live updates are sent directly both on Twitter and Reddit, besides the live Twitch stream of [Mr Goxx] we linked above. The stream only shows his office and not his apartment, and he’s mostly active at night (Berlin time). But we can’t wait for his random walks to yield long-term results which can be analyzed for years to come. In the meantime we’ll see if others have been able to make any profits in crypto with any less-random methods.
How much water have you had to drink today? We would venture to guess that the answer is somewhere between ‘absolutely none’ and ‘not not nearly enough’. You can go ahead and blame poor work/life balance — that’s our plan, anyway — and just try to do better. All this working from home means the bathroom situation is now ideal, so why not drink as much water as you can?
But how? Well, you’re human, so you’ll need to make it as easy as possible to drink the water throughout the day. You could fill up one big jug and hoist it to your mouth all day long (or use a straw), but facing that amount of water all at once can be intimidating. The problem with using a regular-sized vessel is that you have to get up to refill it several times per day. When hyper-focus is winning the work/life tug-of-war, you can’t always just stop and go to the kitchen. What you need is an automatic water dispenser, and you need it right there on the desk.
[Javier Rengel]’s water pomodoro makes it as easy as setting your cup down in front of this machine and leaving it there between sips. As long as the IR sensor detects your cup, it will dispense water every hour. This means that if you don’t drink enough water throughout the day, you’re going to have it all over the desk at some point. [Javier] simply connected an Arduino UNO to a water pump and IR sensor pair and repurposed the milk dispenser from a coffee machine. Check it out in action after the break.
Of course, if you aren’t intimidated by the big jug approach, you could keep tabs on your intake with the right kind of straw.
The build relies on a pair of beefy 3hp motors to drive the screw-based injection system. These are responsible for feeding plastic pellets from a hopper and then melting them and filling the injection reservoir, before then forcing the hot plastic into the mold. Further stepper motors handle clamping the mold and then releasing it and ejecting the finished part. A Raspberry Pi handles the operation of the machine, and is configured with a custom Python program that is capable of proper cycle operation. At its peak, the machine can produce up to 4 parts per minute.
We all need someone to talk to sometimes, and the pandemic has only made matters worse when it comes to the number of people living with anxiety and depression. Exchanging the simplest of pleasantries can make you feel whole again, but the masks make it hard to engage with strangers and judge their emotions, so your big trip to the grocery store can make you feel lonely in a crowd.
So you go back home, still feeling lonely, and maybe you turn on the TV. Watching people interact is probably the next best thing to actual interaction, and it might even make you laugh. But have you ever wished you could talk to the people on TV? With [aniketdhole]’s EMOJO chatbot, you’ll feel as though you’re among friends. And technically you are — all the dialogue is from the TV show Friends.
In Castaway, Tom Hanks didn’t give that volleyball a frowny face, now did he? Nor does he have a dopey grin. Instead, he wears a wry smile that suggests depth of character and a grasp of the dire situation at hand. But now we have emoji, and they do a pretty good job of conveying and evoking emotion. EMOJO is a visual chatbot that uses voice and emoji to make easy, two-way conversation to help chase the loneliness away. It uses a Raspberry Pi and a TFT display to take voice input from a Bluetooth headset, convert it to text, and then respond in kind with both voice and text. It was a finalist in the rethink displays round of the Hackaday Prize, and we can’t wait to see how its character develops. Be sure to check out the demo after the break.
Earlier this week it was widely reported that Softbank’s friendly-faced almost-humanoid Pepper robot was not long for this world, as the Japanese company’s subsidiary in France that had been responsible for the robotic darling of the last decade was being downsized, and that production had paused. Had it gone the way of Sony’s Aibo robotic puppy or Honda’s crouching-astronaut ASIMO? It seems not, because the company soon rolled back a little and was at pains to communicate that reports of Pepper’s untimely death had been greatly exaggerated. It wasn’t so long ago that Pepper was the face of future home robotics, so has the golden future become a little tarnished? Perhaps it’s time to revisit our plastic friend.
A Product Still Looking For A Function
A Pepper earning an honest crust as a tourist guide at the Heijo Palace museum. Tokumeigakarinoaoshima, CC BY-SA 4.0.
Pepper made its debut back in 2014, a diminutive and child-like robot with basic speech recognition and conversation skills, the ability to recognize some facial expressions, and a voice to match those big manga-style eyes. It was a robot built for personal interaction rather than work, as those soft tactile hands are better suited to a handshake than holding a tool. It found its way into Softbank stores as well as a variety of other retail environments, it was also used in experiments to assess whether it could work as a companion robot in medical settings, and it even made an appearance as a cheerleading squad. It didn’t matter that it was found to be riddled with insecurities, it very soon became a favourite with media tech pundits, but it remained at heart a product that was seeking a purpose rather than one ready-made to fit a particular function.
I first encountered a Pepper in 2016, at the UK’s National Museum of Computing. It was simply an exhibit under the watchful eye of a museum volunteer rather than being used to perform a job, and it shared an extremely busy gallery with an exhibit of Acorn classroom computers from the 1980s and early ’90s. It was an odd mix of the unexpected and the frustrating, as it definitely saw me and let me shake its hand but stubbornly refused to engage in conversation. Perhaps it was taking its performance as a human child seriously and being shy, but the overwhelming impression was of something that wasn’t ready for anything more than experimental interaction except via its touch screen. As a striking contrast in 2016 the UK saw the first release of the Amazon Echo, a disembodied voice assistant that might not have had a cute face but which could immediately have meaningful interactions with its owner.
How Can A Humanoid Robot Compete With A Disembodied Voice?
In comparing the Pepper with an Amazon Echo it’s possible that we’ve arrived at the root of the problem. Something that looks cool is all very well, but without immediate functionality, it will never capture the hearts of customers. Alexa brought with it the immense power of Amazon’s cloud computing infrastructure, while Pepper had to make do with whatever it had on board. It didn’t matter to potential customers that a cloud-connected microphone presents a huge privacy issue, for them a much cheaper device the size of a hockey puck would always win the day if it could unfailingly tell them the evening’s TV schedule or remind them about Aunty’s birthday.
Over the next decade we will see the arrival of affordable and compact processing power that can do more of the work for which Amazon currently use the cloud. Maybe Pepper will never fully receive that particular upgrade, but it’s certain that if Softbank don’t do it then somebody else will. Meanwhile there’s a reminder from another French company that being first and being cute in the home assistant market is hardly a guarantee of success, who remembers the Nabaztag?
