Now ChatGPT Can Make Breakfast For Me

February 2, 2023 by Jenny List 61 Comments

The world is abuzz with tales of the ChatGPT AI chatbot, and how it can do everything, except perhaps make the tea. It seems it can write code, which is pretty cool, so if it can’t make the tea as such, can it make the things I need to make some tea? I woke up this morning, and after lying in bed checking Hackaday I wandered downstairs to find some breakfast. But disaster! Some burglars had broken in and stolen all my kitchen utensils! All I have is my 3D printer and laptop, which curiously have little value to thieves compared to a set of slightly chipped crockery. What am I to do!

Never Come Between A Hackaday Writer And Her Breakfast!

OK Jenny, think rationally. They’ve taken the kettle, but I’ve got OpenSCAD and ChatGPT. Those dastardly miscreants won’t come between me and my breakfast, I’m made of sterner stuff! Into the prompt goes the following query:

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Detecting Machine-Generated Content: An Easier Task For Machine Or Human?

February 1, 2023 by Maya Posch 41 Comments

In today’s world we are surrounded by various sources of written information, information which we generally assume to have been written by other humans. Whether this is in the form of books, blogs, news articles, forum posts, feedback on a product page or the discussions on social media and in comment sections, the assumption is that the text we’re reading has been written by another person. However, over the years this assumption has become ever more likely to be false, most recently due to large language models (LLMs) such as GPT-2 and GPT-3 that can churn out plausible paragraphs on just about any topic when requested.

This raises the question of whether we are we about to reach a point where we can no longer be reasonably certain that an online comment, a news article, or even entire books and film scripts weren’t churned out by an algorithm, or perhaps even where an online chat with a new sizzling match turns out to be just you getting it on with an unfeeling collection of code that was trained and tweaked for maximum engagement with customers. (Editor’s note: no, we’re not playing that game here.)

As such machine-generated content and interactions begin to play an ever bigger role, it raises both the question of how you can detect such generated content, as well as whether it matters that the content was generated by an algorithm instead of by a human being.

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Hackaday Links: January 29, 2023

January 29, 2023 by Dan Maloney 22 Comments

We’ve been told for ages that “the robots are coming for our jobs!” It’s true that we’ve seen robots capable of everything from burger flipping to bricklaying being demonstrated, and that’s certainly alarming for anyone employed in such trades. But now it looks like AI has set its sights set on the white-collar world, with the announcement that ChatGPT has managed a passing grade on a Wharton MBA exam.

For those not in the know, the University of Pennsylvania’s Wharton School of Business is in the major league of business schools; earning a Master’s in Business Administration from that august institution is no mean feat, and is likely to put the budding executive on a ballistic career trajectory. So the fact that ChatGPT could pass the exam is significant. But before you worry about a world in which our best and brightest business leaders are replaced with soulless automatons, relax. The exam presented to ChatGPT was just a final exam for one course, Operations Management, so it’s not like it aced everything an MBA is expected to know, and it took a lot of hints from a human helper to get it that far. It’s also reported that it made a lot of simple math mistakes, too, so maybe a Wharton MBA isn’t that much of a big deal after all.

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The Voice Of ChatGPT Is Now On The Air

January 28, 2023 by Lewin Day 39 Comments

AIs can now apparently carry on a passable conversation, depending on what you classify as passable conversation. The quality of your local pub’s banter aside, an AI stuck in a text box doesn’t have much of a living quality. human. An AI that holds a conversation aloud, though, is another thing entirely. [William Franzin] has whipped up just that on amateur radio. (Video, embedded below.)

The concept is straightforward, if convoluted. A DSTAR digital voice transmission is received, which is then transcoded to regular digital audio. The audio then goes through a voice recognition engine, and that is used as a question for a ChatGPT AI. The AI’s output is then fed to a text-to-speech engine, and it speaks back with its own voice over the airwaves.

[William] demonstrates the system, keying up a transmitter to ask the AI how to get an amateur radio licence. He gets a pretty comprehensive reply in return.

The result is that radio amateurs can call in to ChatGPT with questions, and can receive actual spoken responses from the AI. We can imagine within the next month, AIs will be chatting it up all over the airwaves with similar setups. After all, a few robots could only add more diversity to the already rich and varied ham radio community. Video after the break.

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Can AI Replace Your DM?

January 8, 2023 by Jenny List 18 Comments

The current hotness is anything to do with artificial intelligence, and along with some interesting experiments comes a lot of mindless hype. The question is, what can it do for us! [Jesse] provides a fun answer by asking ChatGPT to perform as a Dungeons and Dragons dungeon master.

There are many ways to approach a game of D&D, and while some take the whole thing very seriously indeed we prefer to treat it as a lightly inebriated band of intrepid heroes smacking each other and assorted monsters with imaginary swords and war hammers. Would the AI follow the nerdiest cliches to their pedantic conclusions, or would it sense that the point of a game is to have fun?

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Hackaday Links: December 11, 2022

December 11, 2022 by Dan Maloney 13 Comments

“They paved paradise and put up a parking lot.” That might be stretching things a bit, especially when the “paradise” in question is in New Jersey, but there’s a move afoot to redevelop the site of the original “Big Bang Antenna” that has some people pretty upset. Known simply as “The Horn Antenna” since it was built by Bell Labs in 1959 atop a hill in Holmdel, New Jersey, the antenna was originally designed to study long-distance microwave communications. But in 1964, Bell Labs researchers Arno Penzias and Robert Wilson accidentally discovered the microwave remnants of the Big Bang, the cosmic background radiation, using the antenna, earning it a place in scientific history. So far, the only action taken by the township committee has been to authorize a study to look into whether the site should be redeveloped. But the fact that the site is one of the highest points in Monmouth County with sweeping views of Manhattan has some people wondering what’s really on tap for the site. A petition to save the antenna currently has about 3,400 signatures, so you might want to check that out — after all, you don’t know what you’ve got ’til it’s gone.

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A VM In An AI

December 10, 2022 by Jenny List 41 Comments

AI knoweth everything, and as each new model breaks upon the world, it attracts a new crowd of experimenters. The new hotness is ChatGPT, and [Jonas Degrave] has turned his attention to it. By asking it to act as a Linux terminal, he discovered that he could gain access to a complete Linux virtual machine within the model’s synthetic imagination.

The AI’s first response was a prompt, so he of course first tried to list the files. Up came a list of directories, so the next step was to create a file and put some text in it. All of this resulted in a readable file, so there was some promise in this unexpected computing resource. But can it run code? Continue reading “A VM In An AI” →