DIY Rabbit R1 Clone Could Be Neat With More Hardware

The Teenage Engineering badging usually appears on some cool gear that almost always costs a great deal of money. One such example is the Rabbit R1, an AI-powered personal assistant that retails for $199. It was also revealed that it’s basically a small device running a simple Android app. That raises the question — could build your own dupe for $20? That’s what [Thomas the Maker] did.

Meet Rappit. It’s basically [Thomas]’s take on an AI friend that doesn’t break the bank. It runs on a Raspberry Pi Zero 2W, which has the benefit of integrated wireless connectivity on board. It’s powered by rechargeable AA batteries or a USB power bank to keep things simple. [Thomas] then wrapped it all up in a cute 3D printed enclosure to give it some charm.

It’s software that makes the Rappit what it is. Rather than including a screen, microphone, or speakers on the device itself, [Thomas] interacts with the Pi-based device via smartphone. It makes it a less convincing dupe of the self-contained Rabbit R1, but the basic concept is the same. [Thomas] can make queries of the Rappit via a simple Android or iOS app he created called “Comfyspace,” and the Rappit responds with the aid of Google’s Gemini AI.

If you’re really trying to duplicate the trend of AI assistants, you really need standalone hardware. To that end, the Rappit design could really benefit from a screen, microphone, speaker, and speech synth. Honestly, though, that would only take you a few hours extra work compared to what [Thomas] has already done here. As it is, [Thomas] could simply throw away the Raspberry Pi and just use the smartphone with Gemini directly, right? But he chose this route of using the smartphone as an interface to keep costs down by minimizing hardware outlay.

If you want a real Rabbit R1, you can order one here. We’ve discussed controversy around the device before, too. Video after the break.

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Hackaday Links: March 17, 2024

A friend of ours once described computers as “high-speed idiots.” It was true in the 80s, and it appears that even with the recent explosion in AI, all computers have managed to do is become faster. Proof of that can be found in a story about using ASCII art to trick a chatbot into giving away the store. As anyone who has played with ChatGPT or its moral equivalent for more than five minutes has learned, there are certain boundary conditions that the LLM’s creators lawyers have put in place to prevent discussion surrounding sensitive topics. Ask a chatbot to deliver specific instructions on building a nuclear bomb, for instance, and you’ll be rebuffed. Same with asking for help counterfeiting currency, and wisely so. But, by minimally obfuscating your question by rendering the word “COUNTERFEIT” in ASCII art and asking the chatbot to first decode the word, you can slip the verboten word into a how-to question and get pretty explicit instructions. Yes, you have to give painfully detailed instructions on parsing the ASCII art characters, but that’s a small price to pay for forbidden knowledge that you could easily find out yourself by other means.

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The Gopher Revival Is Upon Us

A maxim for anyone writing a web page in the mid 1990s was that it was good practice to bring the whole thing (including graphics) in at around 30 kB in size. It was a time when the protocol still had some pretence of efficient information delivery, when information was self-published, before huge corporations brought everything under their umbrellas.

Recently, this idea of the small web has been experiencing something of a quiet comeback. [Serge Zaitsev]’s essay takes us back to a time before the Internet as we know it was born, and reminds us of a few protocols that have fallen by the wayside. Finger or Gopher, both things we remember from our student days, but neither of which was a match for the browser.

All is not lost though, because the Gemini protocol is a more modern take on minimalist Internet information sharing. It’s something like the web, but intentionally without the layer upon layer of extraneous stuff, and it’s been slowly gathering some steam. Every time we look at its software list it becomes more extensive, and we live in hope that it might catch on for use with internet-connected microcontroller-based computing. The essay is a reminder that the internet doesn’t have to be the web, and doesn’t have to be bloated either.

Radar In Space: The Gemini Rendezvous Radar

In families with three kids, the middle child always seems to get the short end of the stick. The first child gets all the attention for reaching every milestone first, and the third child will forever be the baby of the family, and the middle child gets lost in-between. Something similar happened with the U.S. manned space program in the 60s. The Mercury program got massive attention when America finally got their efforts safely off the ground, and Apollo naturally seized all the attention by making good on President Kennedy’s promise to land a man on the moon.

In between Mercury and Apollo was NASA’s middle child, Project Gemini. Underappreciated at the time and even still today, Gemini was the necessary link between learning to get into orbit and figuring out how to fly to the Moon. Gemini was the program that taught NASA how to work in space, and where vital questions would be answered before the big dance of Apollo.

Chief among these questions were tackling the problems surrounding rendezvous between spacecraft. There were those who thought that flying two spacecraft whizzing around the Earth at 18,000 miles per hour wouldn’t work, and Gemini sought to prove them wrong. To achieve this, Gemini needed something no other spacecraft before had been equipped with: a space radar.

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The Robots Were Coming! The Robots Were Coming!

The recent influx of home assistants proves that everything old is new again. If we told you about a life-sized robot that was self-charging, had a map of your home for navigation, and responded to voice commands, you’d assume we were going to point you to a Kickstarter or a new product release. Instead, we will point you to this post about a robot marketed in 1985.

You have to put all this in context. In 1985 the personal computer was practically a solution in search of a problem. Back then it was wildly popular to predict that every home would one day have a computer. But we weren’t quite sure what they were going to be doing with it. Home finance, games, and storing recipes were all popular guesses. A few far-sighted folks realized that music, photos, and even video might one day be major selling points. Everyone wanted a piece of this market but no one really understood what the market would look like.

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Hitching A Ride On A Missile

Before the Saturn V rocket carried men to the moon, a number of smaller rockets carried men on suborbital and orbital flights around the Earth. These rockets weren’t purpose-built for this task, though. In fact, the first rockets that carried people into outer space were repurposed ballistic missiles, originally designed to carry weapons.

While it might seem like an arduous task to make a ballistic missile safe enough to carry a human, the path from a weapons delivery system to passenger vehicle was remarkably quick. Although there was enough safety engineering and redundancy to disqualify the space program as a hack, it certainly was a clever repurposing of the available technology. Read on for the full story.

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Hanging Out With Someone Who Walked On The Moon

Lunar dune buggy rides, piloting the most powerful machine made by humankind, stuck thrusters, landing, eating, sleeping, and working on the moon. It does not get any more exciting than the Apollo program! I was recently given the opportunity to sit in on the MIT course, Engineering Apollo: the Moon Project as a Complex System where I met David Scott who landed on the moon as commander of Apollo 15. I not only sat in on a long Q and A session I also was able to spend time with David after class. It is not every day you that you meet someone who has landed on the moon, below are my notes from this experience.

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