As automation increases, the need for human labor increases, and as a corollary, so does the need for humans in general.
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Ancient philosophy can be extremely useful, and entertaining, even when contrary to modern science! See it in the movies!
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“Virtually just like real life!” as advertisements proclaimed. All it did was give John a headache, and feeling he’d just wasted a couple of hours of his life.
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What is creativity? Where does it come from? Why are some things humans do considered creative, while other things mundane? Can AI be creative? To answer these questions, let’s come up with a definition. Creativity at least means something new has been done. No work that copies what has come before is considered creative. A Creativity Criteria Just doing something new is not enough either. If it were, then I can easily be creative by flipping a coin 100 times. That specific sequence of coin flips will only occur once in the entire history of humanity. But no one would say I was creative when I flipped a coin. This means creativity has to generate a new insight. However, these two criteria are not adequate, Read More ›
AI is amazing. It is all the rage these days. Companies everywhere are jumping on the AI bandwagon. No one wants to be left behind when true believers are raptured to the mainframe in the sky. What makes the AI work? The AI works because of information it gained from a human generated dataset. Let’s label the dataset D. We can measure the information in the dataset with Shannon entropy. Represent the information with H(D). When we train an AI with this data, we are applying a mathematical function to the dataset. This function is the training algorithm. Labelling the training algorithm T, then we represent training as T(D). The outcome of training is a new AI model. The model generates new data. We Read More ›
Whenever I look at AI generated content, whether it be pictures or text, they all have the same flaw. The AI cannot comprehend what it is making. Let me explain. When we humans draw a picture, we are drawing a concept. We are drawing something like “cat climbs a tree” or “cowboy riding into the sunset”. It seems like this is what is happening with a picture drawing AI. We give it a prompt, and it draws an associated picture. On second thought, maybe not… When AI draws the picture, what is really going on is it is finding individual-colored pixels that correlate with the letters we typed in its massive database stored in the neural network. Very different than how we draw. We Read More ›
What if I told you intelligent design theory is responsible for the most successful computer game of all time? This game is Minecraft. It has sold over 238 million copies, the highest selling game of all time. What makes the game even more extraordinary is it was created entirely by one man, Markus Persson, over a weekend, who then later sold the game to Microsoft for $2.5 billion dollars. Hard to make this sort of thing up. How does Minecraft work? You can think of Minecraft like a computer game form of Legos, the popular building block toy, with added monsters. You are dropped into an algorithmically generated world where you have to discover resources, find food, and build structures to survive the Read More ›
Bob and Sue were on their way to church one morning. On their way they ran into their friend Fred. Fred was very wealthy, a billionaire in fact. Fred waved hi. Bob and Sue waved back. They asked Fred to come with them to church. Fred said no, he had more important things to do. “What is so important,” asked Sue. “I’m off to the real deal,” beamed Fred. Bob looked confused. “Real deal about what?” “You have a fake promise of eternal life. I’m about to get the real thing.” “You can’t be serious. Start talking some sense.” “Seriously. Here’s my voucher, see it right here.” Sue grabbed the piece of paper from Fred and read it aloud. “Good for one digital immortalization Read More ›
What is a poor teacher to do? With AI everywhere, how can he reliably detect when his students are having ChatGPT write their papers for them? To address this concern, a number of AI text detector tools have emerged. But do they work? A recent paper claims that AI generated text is ultimately indistinguishable from human generated text. They illustrate their claim with a couple experiments that fool AI text detectors by simple variations to AI generated text. Then, the authors go on to mathematically prove their big claim that it is ultimately impossible to tell AI text and human text apart. However, the authors make a crucial assumption. Faulty Premises The proof assumes that AI generated text will become closer and closer to Read More ›
We can do a simple experiment that demonstrates the difference between AI and human intentionality. ChatGPT and the like are a sophisticated form of a mathematical model known as a Markov chain. A Markov chain is based on the Markov assumption that the future is entirely a product of the recent past. In other words, if we know the recent past, then nothing else we learn about the more distant past will improve our ability to predict the future. In ChatGPT terms, this means ChatGPT is based on the assumption that everything we need to know to predict future words is contained within a limited window of previously seen words. ChatGPT’s window was 3,000 words, and I believe the newest version has Read More ›
Once upon a time there live a tribe who lived on the plains. They were an adventurous tribe, constantly wanting to explore. At night they would see the moon drift lazily overhead, and became curious. How could they reach the moon? The moon was obviously higher than their huts. Standing on the highest hut no one could reach the moon. At the same time, standing on the hut got them closer to the moon. So, they decided to amass all their resources and build a gigantic hut. Reason being that if standing on a short hut got them closer to the moon, then standing on a gigantic hut would get them even closer. Eventually the tribe ran out of mud and Read More ›
Here is a quick overview of how ChatGPT operates under the hood. This will make it easier to spot suspicious behavior. The following is at a very high level. For the gory details, see the following two guides: – The Illustrated GPT-2 (Visualizing Transformer Language Models) – Jay Alammar – Visualizing machine learning one concept at a time. (jalammar.github.io) – The GPT-3 Architecture, on a Napkin (dugas.ch) What is ChatGPT? Let’s start with what ChatGPT is. ChatGPT is a kind of machine learning algorithm known as a neural network. To understand what a neural network is, recall your algebra classes. You remember being given a set of equations and being told to solve for some variables. Then you learned you Read More ›
Materialism. What a weird word. It sounds like a ghost, materializing in front of me. And it is sort of like a ghost, one that has mysteriously taken over the minds of many intelligent people. Because they believe in materialism, these smart people don’t believe in ghosts. Especially the ghost in the machine. The problem is there is no way for the ghost to interact with the machine. This is known as the “mind-body interaction problem”. The great thing about materialism is at least that theory doesn’t have an interaction problem. Any material thing can interact with any other material thing. Yet there is a deep irony. Let’s explore the idea of materialism to see why. Materialism is the idea that reality only consists of matter. Read More ›
The new ChatGPT chatbot has wowed the internet. While students revel in the autogenerated homework assignments, the truly marvelous property of ChatGPT is its very humanlike interactions. When you converse with ChatGPT you could swear there was a human on the other end, if you didn’t know better. For all intents and purposes, ChatGPT has achieved the holy grail of AI and passed the Turing test, on a global scale. Always quick to snatch a deal, Microsoft is currently in talks to spend a mere $10B to acquire half “the lightcone of all future value.” However, things are not always what they seem. Previously, I pointed out aspects of ChatGPT that implied humans were helping craft the chatbot’s responses. Now, Read More ›
ChatGPT is a direct descendent of GPT-3, and is a fancy form of a fancy machine learning algorithm called a neural network. For an overview of all of ChatGPT’s neural network complexity, here is a fun article. However, all that is beside the point. The important thing about a neural network: It can only generate what is in its training data. Therefore, ChatGPT can only produce what is in its training data. ChatGPT’s training data does not include the conversation you or I are having with ChatGPT. Therefore, if something novel occurs in the conversation, ChatGPT cannot reproduce it. That is, if ChatGPT is a neural network. Conversely, if ChatGPT reproduces novel text from the conversation, then ipso facto ChatGPT is not a Read More ›
OpenAI, recently released a new AI program called ChatGPT. It left the internet gobsmacked, though some were skeptical, and concerned about its abilities. Particularly about ChatGPT writing students’ homework for them! [ChatGPT] also appears to be ominously good at answering the types of open-ended analytical questions that frequently appear on school assignments. (Many educators have predicted that ChatGPT, and tools like it, will spell the end of homework and take-home exams.) Kevin Roose, “The Brilliance and Weirdness of ChatGPT” at New York Times (December 5, 2022) The really amazing thing is ChatGPT’s humanlike responses. They gives an observer an unnerving suspicion that the AI is actually sentient. Maybe it is actually sentient. Wait, what? You heard me. The AI is Read More ›
Readers of Mind Matters News have likely heard of the iconic Turing test. Computer pioneer Alan Turing famously invented a test to determine whether a program could pass as a human. The gist is, if a program can fool human testers into believing it is a human, then the program is intelligent. Not everyone is convinced. Thing is, it doesn’t take much to fool us humans! Take Eliza , a program of only a few hundred lines, written in the 60s, which fooled many people into believing it was a real human therapist. But what if we flip the Turing test on its head? Instead of a test where a program tries to pass as human, we use a test Read More ›
Creativity is a mysterious thing. Our world economy is powered by creativity, yet despite the best efforts of our best engineers, creativity has not been captured by a machine. Until recently. With the new school of AI things have changed. We now have GPT-3 that can digress at length about any topic you give it. Even more remarkable, we have the likes of Dall-E, Midjourney, and Stable Diffusion. These phenomenal AI algorithms have scaled the peak of human creativity. AI can now create art that has never been seen before: The new artistic AI has become so successful the image social networks have become flooded with their artwork. Some communities have even banned the AI art. But the AI art Read More ›
It’s really hard to picture the “mind,” isn’t it? You might think of wavy ghosts, or a spectral light. But nothing very definite. The brain, on the other hand, is very easy to visualize. Images and videos are just a Google away. That’s why it’s easy to assume that our brains are the entities that do our thinking for us. The brain is not only easy to image, it is physical. We can (in theory) touch it. Poke it. The brain even runs off electricity, just like your computer. But what makes a computer run Windows? It isn’t just the transistors on silicon wafers. It isn’t just the electricity coursing through the circuits. Windows itself is a ghostly being, like Read More ›
Recently, I’ve been arguing (here and here, for example) that we can use artificial neural networks (ANNs) to prove that the mind is not the brain. To recap, here is the logic of my argument: Premise A: neural networks can learn better than the brainPremise B: the human mind can learn better than a neural networkConclusion: the human mind can learn better than the brain, therefore it is not the brain This means if we can conclusively show the human mind can learn better than a neural network, then the mind is not the brain. For Premise A, I’ve argued that the differentiable neural network is a superior learning model compared to the brain neuron’s “all or nothing principle”. The Read More ›