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A pair of hands holds a digital camera. "NUCA" is written in the hood above the lens and a black grip is on the right hand side of the device (left side of image). The camera body is off-white 3D printed plastic. The background is a pastel yellow.

AI Camera Only Takes Nudes

April 22, 2024 by 52 Comments

One of the cringier aspects of AI as we know it today has been the proliferation of deepfake technology to make nude photos of anyone you want. What if you took away the abstraction and put the faker and subject in the same space? That’s the question the NUCA camera was designed to explore. [via 404 Media]

[Mathias Vef] and [Benedikt Groß] designed the NUCA camera “with the intention of critiquing the current trajectory of AI image generation.” The camera itself is a fairly unassuming device, a 3D-printed digital camera (19.5 × 6 × 1.5 cm) with a 37 mm lens. When the camera shutter button is pressed, a nude image is generated of the subject.

The final image is generated using a mixture of the picture taken of the subject, pose data, and facial landmarks. The photo is run through a classifier which identifies features such as age, gender, body type, etc. and then uses those to generate a text prompt for Stable Diffusion. The original face of the subject is then stitched onto the nude image and aligned with the estimated pose. Many of the sample images on the project’s website show the bias toward certain beauty ideals from AI datasets.

Looking for more ways to use AI with cameras? How about this one that uses GPS to imagine a scene instead. Prefer to keep AI out of your endeavors to invade personal space? How about building your own TSA body scanner?

 

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Hackaday Links: April 21, 2024

April 21, 2024 by 12 Comments

Do humanoid robots dream of electric retirement? Who knows, but maybe we can ask Boston Dynamics’ Atlas HD, which was officially retired this week. The humanoid robot, notable for its warehouse Parkour and sweet dance moves, never went into production, at least not as far as we know. Atlas always seemed like it was intended to be an R&D platform, to see what was possible for a humanoid robot, and in that way it had a heck of a career. But it’s probably a good thing that fleets of Atlas robots aren’t wandering around shop floors or serving drinks, especially given the number of hydraulic blowouts the robot suffered. That also seems to be one of the lessons Boston Dynamics learned, since Atlas’ younger, nimbler replacement is said to be all-electric. From the thumbnail, the new kid already seems pretty scarred and battered, so here’s hoping we get to see some all-electric robot fails soon.

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Dump A Code Repository As A Text File, For Easier Sharing With Chatbots

April 14, 2024 by 16 Comments

Some LLMs (Large Language Models) can act as useful programming assistants when provided with a project’s source code, but experimenting with this can get a little tricky if the chatbot has no way to download from the internet. In such cases, the code must be provided by either pasting it into the prompt or uploading a file manually. That’s acceptable for simple things, but for more complex projects, it gets awkward quickly.

To make this easier, [Eric Hartford] created github2file, a Python script that outputs a single text file containing the combined source code of a specified repository. This text file can be uploaded (or its contents pasted into the prompt) making it much easier to share code with chatbots.

Continue reading “Dump A Code Repository As A Text File, For Easier Sharing With Chatbots” →

A Slew Of AI Courses To Get Yourself Up To Speed

April 14, 2024 by 13 Comments

When there’s a new technology, there’s always a slew of people who want to educate you about it. Some want to teach you to use their tools, some want you to pay for training, and others will use free training to entice you to buy further training. Since AI is the new hot buzzword, there are plenty of free classes from reputable sources. The nice thing about a free class is that if you find it isn’t doing it for you, there’s no penalty to just quit.

We noticed NVIDIA — one of the companies that has most profited from the AI boom — has some courses (not all free, though). Generative AI Explained, and Augment your LLM Using Retrieval Augmented Generation caught our eye. There’s also Building a Brain in 10 Minutes, and Introduction to Physics-informed Machine Learning with Modulus. These are all quite short, though.

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In A Twist, Humans Take Jobs From AI

April 9, 2024 by 41 Comments

Back in the 1970s, Rockwell had an ad that proudly proclaimed: “The best electronic brains are still human.” They weren’t wrong. Computers are great and amazing, but — for now — seemingly simple tasks for humans are out of reach for computers. That’s changing, of course, but computers are still not good at tasks that require a little judgment. Suppose you have a website where people can post things for sale, including pictures. Good luck finding a computer that can reliably reject items that appear to be illegal or from a business instead of an individual. Most people could easily do that with a far greater success rate than a computer. Even more so than a reasonable-sized computer.

Earlier this month, we reported on Amazon stepping away from the “just walk out” shopping approach. You know, where you just grab what you want and walk out and they bill your credit card without a checkout line. As part of the shutdown, they revealed that 70% of the transactions required some human intervention which means that a team of 1,000 people were behind the amazing technology.

Humans in the Loop

That’s nothing new. Amazon even has a service called Mechanical Turk that lets you connect with people willing to earn a penny a picture, for example, to identify a picture as pornographic or “not a car” or any other task you really need a human to do. While some workers make up to $6 an hour handling tasks, the average worker makes a mere $2 an hour, according to reports. (See the video below to see how little you can make!) The name comes from an infamous 200-year-old chess-playing “robot.” It played chess as well as a human because it was really a human hiding inside of it.

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Wrencher-2: A Bold New Direction For Hackaday

April 1, 2024 by 44 Comments

Over the last year it’s fair to say that a chill wind has blown across the face of the media industry, as the prospect emerges that many content creation tasks formerly performed by humans instead being swallowed up by the inexorable rise of generative AI. In a few years we’re told, there may even be no more journalists, as the computers become capable of keeping your news desires sated with the help of their algorithms.

Here at Hackaday, we can see this might be the case for a gutter rag obsessed with celebrity love affairs and whichever vegetable is supposed to cure cancer this week, but we continue to believe that for quality coverage of the latest and greatest in the hardware hacking world, you can’t beat a writer made of good old-fashioned meat. Indeed, in a world saturated by low-quality content, the opinions of smart and engaged writers become even more valuable. So we’ve decided to go against the trend, by launching not a journalist powered by AI, but an AI powered by journalists.

Announcing Wrencher-2, a Hackaday chat assistant in your browser

Wrencher-2 is a new paradigm in online chat assistants, eschewing generative algorithms in favour of the collective expertise of the Hackaday team. Ask Wrencher-2 a question, and you won’t get a vague and made-up answer from a computer, instead you’ll get a pithy and on-the-nail answer from a Hackaday staffer. Go on – try it! Continue reading “Wrencher-2: A Bold New Direction For Hackaday” →

Tech Support… Can AI Be Worse?

March 28, 2024 by 56 Comments

You can’t read the news today without another pundit excitedly reporting how AI is going to take every job you can imagine. Of course, AI will change the employment landscape. It will take some jobs and reduce the need for others. What about tech support? Is it possible that an AI might be able to help people with technical issues better than humans? My first answer was no way, but then I was painfully reminded of something. The question isn’t if AI can help you better than any human can. The question is if AI can help you better than the low-paid person on the other end of the phone you are likely to talk to. Sadly, I think the answer to that question is almost certainly yes.

In all fairness, if you read Hackaday, you probably don’t encounter many technical support people who can solve a problem you can’t. By the time you call them, it is a lost cause. But this is more than just “Hackday folks are smarter than the tech support agents.” The overall quality of tech support at many companies is rock bottom no matter who you are. Continue reading “Tech Support… Can AI Be Worse?” →