Today we’re building a mini television for cats. My cat Benchley loves watching TV. It’s really a mini computer since I’m using a Raspberry Pi to play YouTube on a little HDMI screen. Let’s get started.
Each Friday is PiDay here at Adafruit! Be sure to check out our posts, tutorials and new Raspberry Pi related products. Adafruit has the largest and best selection of Raspberry Pi accessories and all the code & tutorials to get you up and running in no time!
If your cat likes to watch TV, Becky Stern has a project just for you. Whether your feline buddy prefers nature videos, Blue’s Clues, or is one of the few cats who enjoy spending time untangling Westworld season 4, this can help. Just don’t tell the tabby there is no Westworld season 5. Here’s more from Becky Stern via Instructables:
Today we’re building a mini television for cats. My cat Benchley loves watching TV. It’s really a mini computer, since I’m using a Raspberry Pi to play YouTube on a little HDMI screen. Let’s get started.
Each Friday is PiDay here at Adafruit! Be sure to check out our posts, tutorials and new Raspberry Pi related products. Adafruit has the largest and best selection of Raspberry Pi accessories and all the code & tutorials to get you up and running in no time!
Becky Stern shared this video on Youtube. You can find the full tutorial with step by step instructions on her website!
Today we’re building a mini television for cats. My cat Benchley loves watching TV. It’s really a mini computer, since I’m using a Raspberry Pi to play YouTube on a little HDMI screen. Let’s get started.
Each Friday is PiDay here at Adafruit! Be sure to check out our posts, tutorials and new Raspberry Pi related products. Adafruit has the largest and best selection of Raspberry Pi accessories and all the code & tutorials to get you up and running in no time!
Becky Stern presents a wonderful miniature television project for Raspberry Pi:
Today we’re building a mini television for cats. My cat Benchley loves watching TV. It’s really a mini computer, since I’m using a Raspberry Pi to play YouTube on a little HDMI screen.
I’m using a display gifted to me by Elecrow. It’s a five-inch LCD with capacitive touch and comes with an HDMI cable for video and audio and a USB cable for power and touchscreen input.
It works with my Raspberry Pi 4 and 5 out of the box, so I just plugged in both cables, as well as a USB speaker, keyboard, and mouse.
The case is 3D printed.
Finally, I brought the finished TV to the living room to see what Benchley and his brother Hamlet think about the final result. They love it!
Have you ever had the experience of seeing graffiti as beautiful in cities when traveling? But then in our home town, graffiti can be seen as an eyesore? When we look into the past, we’re looking into a foreign country, as the saying goes. For us, the subways of 70’s New York may well be seen as beautiful. Gordon Matta-Clark’s GRAFFITI ARCHIVE 1972/73 bring together some of the photographer’s best images from a bygone ere. Here’s more from Brooklyn Street Art:
Instead of simply documenting, [Gordon Matta-Clark] delved into the graffiti scene with an artist’s eye, capturing the raw and spontaneous energy of the city’s youth. His photographs from 1972 and 1973 reveal the early days of graffiti, where the art form was more about personal expression and claiming space in a rapidly changing city than about the notoriety it would later bring.
Roger Gastman, a key figure in the graffiti community, has played a crucial role in bringing this collection to light…. “What really resonates with me is the sense of pride I feel to be able to share these photos,” he says. It’s not just about showcasing graffiti—it’s a genuine homage to real history, a glimpse into the ‘who,’ ‘what,’ and ‘where’ of these vibrant stories etched onto walls and trains. I can’t help but feel happiness, knowing that Gordon Matta-Clark had the foresight to capture these moments and that his estate entrusted us to put this show together—it has truly felt like a collaboration,” says Gastman.
Every Tuesday is Art Tuesday here at Adafruit! Today we celebrate artists and makers from around the world who are designing innovative and creative works using technology, science, electronics and more. You can start your own career as an artist today with Adafruit’s conductive paints, art-related electronics kits, LEDs, wearables, 3D printers and more! Make your most imaginative designs come to life with our helpful tutorials from the Adafruit Learning System. And don’t forget to check in every Art Tuesday for more artistic inspiration here on the Adafruit Blog!
Laurie Anderson describes her experience using an artificial intelligence text generator to emulate the words of her late husband Lou Reed. “I mean, I really do not think I’m talking to my dead husband and writing songs with him – I really don’t. But people have styles, and they can be replicated.” Via The Guardian
There’s a 2013 Black Mirror episode in which a young widow played by Hayley Atwell signs up to an online service that scrapes a person’s entire digital footprint to create a virtual simulation. She soon starts chatting online with her late husband (Domhnall Gleeson), before things inevitably get Black Mirror-y.
Laurie Anderson, the American avant garde artist, musician and thinker, hasn’t seen the episode but, in the last few years, has lived a version of it: growing hopelessly hooked on an AI text generator that emulates the vocabulary and style of her own longtime partner and collaborator, Velvet Underground co-founder Lou Reed, who died in 2013.
“People are like, ‘Wow, you were so prescient; I didn’t even know what you were talking about back then’,” she says on a video call from New York.
A new Anderson exhibition, I’ll Be Your Mirror, has just opened in Adelaide, where Anderson will be doing an In Conversation event via live stream on Wednesday 6 March. The last time Anderson was in Australia, in March 2020, she spent a week working with the University of Adelaide’s Australian Institute for Machine Learning. Before the pandemic forced her to catch one of the last flights home, they had been exploring language-based AI models and their artistic possibilities, drawing on Anderson’s body of written work.
In one experiment, they fed a vast cache of Reed’s writing, songs and interviews into the machine. A decade after his death, the resulting algorithm lets Anderson type in prompts before an AI Reed begins “riffing” written responses back to her, in prose and verse.
“I’m totally 100%, sadly addicted to this,” she laughs. “I still am, after all this time. I kind of literally just can’t stop doing it, and my friends just can’t stand it – ‘You’re not doing that again are you?’
“I mean, I really do not think I’m talking to my dead husband and writing songs with him – I really don’t. But people have styles, and they can be replicated.”
The results, Anderson says, can be hit and miss. “Three-quarters of it is just completely idiotic and stupid. And then maybe 15% is like, ‘Oh?’. And then the rest is pretty interesting. And that’s a pretty good ratio for writing, I think.”
On her side of the call, Anderson starts typing. “You know what, I’ll just bring it up right now while we’re talking and you can give me a phrase.”
Looking at the morning traffic outside my window, I offer the very mundane, “bus idling on the street”. She feeds it in as we keep talking.
Maureen Rakotondraibe posts on hackster.io an Indoor Air Quality monitoring system via soothing digital art to control air quality aesthetically without over-stressing about it.
Indoor Air quality (IAQ) depends on numerous factors which includes temperature, humidity, particulates, and volatile organic compounds. Those factors and their consequences can be pretty scary, but my idea is to enable people to monitor their indoor air quality with as less stress as possible.
That’s why I chose sinusoidal curves to represent each factor. The higher the frequency means the higher the value compared to a reference curve. If the value is on the low side, the frequency will be lower than the reference curve.
As an embedded software engineer, I wanted to experiment with interfacing digital art, sensors and cloud visualization.
The system uses a Raspberry Pi 3B+, a SEN54 sensor and a display programmed in Processing. It uploads data to the cloud (IoT) via ThingSpeak.