ClassX Video Lessons Youtube Channel ASAP Science Will This Trick Your Mind? (Artificial Intelligence TEST)
Have you ever wondered if you could spot something created by artificial intelligence (AI)? Let’s dive into some fun examples and see if your mind can be tricked!
Take a look at these three faces: A, B, and C. Which one do you think is the oldest? Well, here’s the twist: none of them are real people! These faces were all generated by AI. It’s amazing how realistic they look, right?
Now, let’s look at two paintings. One was created by a human, and the other by AI. Can you guess which is which? The clue is in the signature. Even though the AI’s painting might seem a bit off, it was still sold at an auction for a whopping $432,500!
To understand how AI generates images, let’s look at some fruit. One of these images isn’t real. Is it the apples or the oranges? If you guessed apples, you’re right! Here’s how it works: AI is trained with hundreds of images. It uses a system called a generative adversarial network, which has two parts. One part creates fake images, and the other tries to spot them. They keep improving until the fake images look very real.
Let’s listen to some music. One piece is composed by a computer, and the other by the famous composer Johann Sebastian Bach. [Track A] [Track B] Did you guess which is which? Track A was created by a machine learning system called Emily Howell, which learned from a library of music to make new compositions.
Watch these two videos of former U.S. President Barack Obama. [Video A] [Video B] Can you tell which one is real? Video B is a deepfake, created using AI. By analyzing hours of footage, AI can mimic the way Obama speaks and moves, making it hard to tell the difference.
Listen to this phone call. [Voice A] [Voice B] Can you figure out which voice is human? Voice B, the one asking about business hours, is actually synthetic. AI can now create voices that sound almost human!
AI is becoming a bigger part of our lives, making things easier and more convenient. Just like SimpliSafe, a modern home security system that helps keep your home safe. With features like instant police alerts and pet-friendly sensors, it offers peace of mind. If you’re interested, check out simplisafe.com/asap for more information.
AI is fascinating and sometimes a bit tricky, but it’s also a powerful tool that can do amazing things. Keep exploring and learning about AI, and who knows what you’ll discover next!
Explore a collection of AI-generated faces and real human faces. Your task is to identify which ones are AI-generated. Discuss with your classmates why some faces might be more convincing than others.
Visit an online gallery featuring both AI-created and human-created artworks. Choose a piece you find intriguing and present your thoughts on what makes it unique. Can you spot any patterns or styles that hint at its origin?
Use an online tool to generate your own AI image. Experiment with different inputs and see how the AI interprets them. Share your creations with the class and explain the process behind your image.
Listen to a series of music tracks, some composed by AI and others by humans. Try to identify which is which based on the style and composition. Discuss what elements made it challenging to differentiate between them.
Watch a selection of videos, including both real and deepfake content. Work in groups to analyze the videos and identify clues that indicate whether a video is real or fake. Share your findings with the class.
Sure! Here’s a sanitized version of the transcript:
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This episode is supported by SimpliSafe. Which of these three faces do you think is the oldest: A, B, or C? The answer is actually none of them, because none of these people were ever born. These faces were all generated by artificial intelligence.
Now, thinking about artificial intelligence, look carefully at these two paintings. Which of these does your mind think was created by AI? Is it painting A or painting B? The clue is in the signature. The AI seems a bit off on this one, but someone appreciated it as it sold at an auction for $432,500.
To explain how these images are generated, let’s first look at these images of fruit. By now, you know that one isn’t real, but is it the apples or the oranges? If you said apples, you’re right! Essentially, a system is fed hundreds of images to learn from. It’s then split into two systems. System 1’s job is to create a convincing image of an apple, and System 2 is designed to figure out which images of apples are fake. This is known as a generative adversarial network. If System 1 fails at tricking, it continues to evolve its apple designing skills, and if System 2 fails at identifying the fake, it must also improve its ability to catch a fake. This ultimately creates a feedback loop that generates extremely believable images.
Now, let’s try to relax and listen to some music while you try to deduce which is composed by a computer. [Track A] [Track B] Turns out that composition A is generated by a machine learning system called Emily Howell, which was created in the 90s and learned from a library of music to create original pieces. And composition B? That’s by Johann Sebastian Bach. A larger library of music will give the machine learning networks more data to learn from, and the same is true for video. Because we upload such huge amounts of video content online, neural networks have begun to create convincing fake videos.
Here’s a video of the 44th President of the United States, Barack Obama. [Video A] “People not trapped by our past, but able to remake ourselves as we choose.” [Video A] “But today, our immigration system is broken, and everybody knows it.” And here’s another. [Video B] “It’s been less than a week since the deadliest mass shooting in American history.” [Video B] “And foremost in all of our minds has been the loss and the grief felt by the people of Orlando.” Which of these two is real? Video A or B? Known as a deep fake video, video B is generated using AI. With over 14 hours of footage from the president’s weekly addresses, neural network AI is able to model the shape of Obama’s mouth and uses audio from one of Obama’s previous addresses.
But can AI generate convincing synthetic audio? Listen to this phone call. [Voice A] “How can I help you?” [Voice B] “Hello?” [Voice A] “Hello, what’s up?” [Voice B] “Hey, um, I wanted to know what are your hours for today?” [Voice A] “10 a.m. to 6:30 p.m.” [Voice B] “Okay. Got it. Thank you for your time.” [Voice A] “No problem.” [Voice B] “Bye.” Can you tell which of the callers is human? Voice B, the voice you hear asking about the hours the business was open, was synthetic.
We’re relying more and more on technology today, which is making our lives easier. Much like SimpliSafe, the sleek new home security system that sponsored today’s video. We bought a house recently and finally realized what it feels like to go anywhere and think about security. The statistics show that a robbery occurs every 15 seconds in America, most of which happen while you’re at work.
So join our new peaceful life by going to simplisafe.com/asap and ease your mind. Importantly for us in our new home, it looks great. The design is awesome, it’s intuitive to set up and use, and you barely notice the sensors are there. We like that it does helpful things, like remind you if you left the door open. In the event of an actual break-in, it can immediately contact the police. We just set up our own at home, and it’s reassuring to know that it’s there for you. It can even tell the difference between a pet and an intruder! So go to simplisafe.com/asap to get yours today and make sure you subscribe for more videos every Thursday.
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Artificial Intelligence – A branch of computer science that focuses on creating systems capable of performing tasks that require human intelligence. – Example sentence: Artificial intelligence can analyze music patterns to create new compositions.
Music – Organized sound that expresses ideas and emotions through elements like rhythm, melody, and harmony. – Example sentence: AI can generate music by learning from thousands of songs.
Images – Visual representations of objects, scenes, or concepts, often used in AI to train models for recognition tasks. – Example sentence: AI can analyze images to identify different musical instruments in a photo.
Deepfake – A technique that uses AI to create realistic but fake videos or audio recordings by altering original content. – Example sentence: Deepfake technology can be used to create videos where famous musicians appear to perform songs they never recorded.
Voices – Sounds produced by humans or machines that can convey information or emotion, often used in AI to create speech synthesis. – Example sentence: AI can mimic voices to create realistic singing from text input.
Machines – Devices or systems that perform tasks, often enhanced by AI to improve efficiency and capabilities. – Example sentence: Machines equipped with AI can compose music by analyzing different styles and genres.
Composer – A person or AI system that creates music by writing and arranging musical notes. – Example sentence: An AI composer can generate new symphonies by learning from classical music scores.
Learning – The process of acquiring knowledge or skills, which in AI refers to systems improving their performance through data analysis. – Example sentence: AI systems use machine learning to improve their ability to recognize different musical genres.
Network – A system of interconnected elements, often used in AI to describe neural networks that process information similarly to the human brain. – Example sentence: A neural network can be trained to identify the mood of a song by analyzing its tempo and key.
Faces – The front part of a person’s head, used in AI to develop systems that can recognize and interpret human expressions. – Example sentence: AI can analyze faces in concert footage to determine the audience’s emotional response to the music.
