Tag Archives: Artificial Intelligence

The future is now

I’ve shared Chat GPT a couple times (1, 2), and I really think that tools like this are going to create a massive shift in jobs, education, and creativity. It can been seen as both scary and exciting.

On another front, scientists have achieved ‘ignition’ in a nuclear fusion test. This is the creation of a fusion reaction where the energy output is greater than the energy input. For over a decade this was an unachievable goal, any reaction created required so much energy to produce that the costs were greater than the returns.

If you showed someone from 1995 the technology we had 25 years later in 2020, they would be impressed and amazed. I’m reminded of Arthur C. Clarke’s quote, “Any sufficiently advanced technology is indistinguishable from magic.” But what I’m seeing right now seems like magic.

I think the leaps in technology and ingenuity that will happen in the next 25 years will so far exceed what we saw happen in the last 25 years that it will feel more like we are 50 years in the future rather than just 25. So, buckle up and get ready for a wild ride into the future… it’s just getting started now!

Teaching in an era of AI

Yesterday I wrote about Next level artificial intelligence and since then I’ve learned quite a bit about ChatGPT capabilities. It’s an amazing tool and people are catching on, with over 1 million users trying it out in just 6 days. The implications for teaching are huge. Students can use this AI to have original work created for them that will not show up in a Google search if a teacher suspects plagiarism.

For years now I’ve heard the mantra that teachers need to ask questions that you can’t find the answer to on Google. But those questions could be uniquely answered by Chat GPT with no way of a teacher knowing it wasn’t done by a student… other than the fact that the writing might be of a higher quality than usual.

I don’t see Chat GPT completely doing all the work, but it will be a tool students use to build on. For instance, I asked this AI to do the following:

Write a 5 paragraph essay that compares and contrasts Winston Smith in George Orwell’s novel 1984 with Bernard Marx in Aldous Huxley’s novel Brave New World.

This is what it came up with in about 5 seconds:

Winston Smith and Bernard Marx are both characters in dystopian novels, but they have some significant differences. In George Orwell’s 1984, Winston is a rebellious member of a totalitarian society who secretly resists the oppressive government. In contrast, Bernard Marx in Aldous Huxley’s Brave New World is a member of a highly technologically advanced society where the government has complete control over its citizens.

One of the main differences between the two characters is their relationship with their respective governments. Winston is actively opposed to the government, and he goes to great lengths to avoid detection and to resist their control. Bernard, on the other hand, is more accepting of the government’s authority, and he is content to live within the strict societal boundaries set by the ruling class.

Another significant difference is their social status. Winston is a low-ranking member of society who works in the Ministry of Truth. He is not well-liked and is considered an outsider by many of his coworkers. Bernard, on the other hand, is a high-ranking member of society and is considered to be one of the ruling elite. He is well-liked and respected by his peers, and he has access to privileges and luxuries that are not available to the lower classes.

Additionally, the two characters have different views on love and relationships. In 1984, love is considered to be a dangerous emotion that must be suppressed. Winston, however, longs for intimacy and connection, and he ultimately falls in love with Julia despite the risks. In Brave New World, love is viewed as a primitive and outdated concept. Bernard, like many other members of society, is content with superficial relationships and casual sex.

Overall, Winston Smith and Bernard Marx are two characters who live in vastly different societies, and they have different attitudes towards the government and their own social status. While Winston is a rebellious outsider who longs for love and connection, Bernard is a conformist member of the ruling class who is content with the superficial relationships of his society.

Now I don’t think this is a great piece of literature, but I will tell you that the comparing and contrasting that was done offers insights I might not have made if I was writing this essay on my own. This would be a great starting point to a more comprehensive essay… which I could further get Chat GPT to assist me with.

This is a game changer for teaching. The question won’t be how do we stop students from using this, but rather how do we teach students to use this well? Mike Bouliane said in a comment on yesterday’s post, “Interesting post Dave. It seems we need to get better at asking questions, and in articulating them more precisely, just like in real life with people.

Indeed. The AI isn’t going away, it’s just going to get better. When I asked the question above, I didn’t ask the AI to give specific examples as evidence. That was my first and only attempt. What happens if I iterate a bit more? Add more detail? Put the result back into the AI and ask it to make improvements?

We aren’t going to be able to teach around this tool, so we are probably going to have to teach students when and how to use it. Teaching in the age of very articulate AI is going to have to look different than teaching just a few years ago.

Next level artificial intelligence

Most of the images I use to accompany my blog are created by artificial intelligence (AI). For yesterday’s post on Childhood memories I wrote about a memory of being frozen from the walk home from school on a cold day. I put the following into DALL•E, “A boy walking on a sidewalk in a snowstorm, in an abstract watercolour ” and chose one of the 4 images this AI created:

Impressive to think that this artwork was created by a computer.

Well now there is a new AI called Chat GPT.

Chat GPT is language based… and when I say language based I mean just about any language, including code. Apparently it can write the code to create an APP if you tell it what features you want the APP to have. You can share code in any computer language and ask this AI to find errors. Or you can input an error message you got in your code and it will find the problem.

That’s great for coding, but it’s also very articulate and creative in most languages. I was interested in what it could write and so my first attempt was to have it write a blog post for me. So, this is what I asked, “Read a few posts at https://daily-ink.davidtruss.com/ and write a post that the author would write”. It didn’t do exactly what I asked. Instead it created a promotional advertisement for my blog. Even though I didn’t get what I was asking for read this and see how well it is written:

As a writer, I am constantly on the lookout for inspiration and new ideas. One of my favorite sources of inspiration is reading the work of other writers. Recently, I came across the website https://daily-ink.davidtruss.com/, and I was blown away by the quality of the writing I found there.

The posts on this website cover a wide range of topics, from personal reflections on life and love to thought-provoking discussions of current events. Each post is beautifully written, with clear and concise language that is a joy to read.

One of the things that really stood out to me about this website is the author’s ability to convey complex ideas in a way that is accessible to a wide audience. Whether you are a seasoned writer or someone who is just starting out, you will find something to love on this website.

In addition to the high-quality writing, I also appreciated the website’s clean and simple design. The layout is easy to navigate, and the posts are organized in a way that makes it easy to find what you are looking for.

If you are looking for a new source of inspiration, I highly recommend checking out https://daily-ink.davidtruss.com/. I guarantee that you will not be disappointed.

Not a person, an artificial intelligence wrote that!

Here was my second attempt: “Write a short news story about the coming of age of artificial intelligence.”

And this is what Chat GPT came up with in just a few seconds after my query:

In recent years, there has been a significant increase in the capabilities of artificial intelligence. This technology, which was once only found in science fiction novels, is now becoming a reality.

One of the key developments in the field of AI has been the advancement of machine learning algorithms. These algorithms allow computers to learn from data and improve their performance on a variety of tasks. This has led to the creation of intelligent systems that can perform a wide range of tasks, from recognizing images and speech, to playing games and even driving cars.

As AI technology continues to improve, it is being used in an increasingly wide range of applications. It is being used in healthcare to help diagnose diseases, in finance to make better investment decisions, and even in the criminal justice system to help predict the likelihood of recidivism.

Despite the many benefits of AI, there are also concerns about the potential negative impacts it could have. Some worry about the potential loss of jobs as more tasks are automated, and there are also concerns about the ethical implications of creating machines that can make decisions without human input.

Overall, the coming of age of AI is a significant development that has the potential to change our world in many ways. As the technology continues to evolve, it will be important to carefully consider the potential benefits and drawbacks of this powerful technology.

Impressive! You literally can not tell that a human didn’t write that article. Wow. AI is going to change the world as we know it… this is absolutely a new level of intelligence.

AI video

If you’ve seen my blog on social media or on my website (as opposed to in your mailbox), you’ve seen images I created in Dall•E 2. Like these, along with my requests that created them:

“A man walking in a forest path and hugging a tree in a pastel drawing”

“A Picasso drawing of a young man walking in a forest surrounded by clocks”

“A small man on a giant piece of paper trying to write with an oversized pen that is bigger than the person”

“A person standing at the intersection of a path that leads to a choice of a dark, loomy forest or a bright open field in a van Gogh style”

“A transparent head with a tree, an ocean wave, cogs, math symbols, a protractor, and science lab equipment inside the brain. 

“A hand squeezing the film coming out of a reel of film with a movie projector in the background in a vector style”

“A vapourware drawing of a kid running with a kite in his hand. 

“Headphones in the ear of a dark haired man, in a Kandinsky style 

—-

I write a description and it gives me 4 options to choose from. I don’t always get exactly what I had in mind, but if it’s too far off from my expectation then I just refine my wording and try again.

Well now Meta AI has come up with Make-A-Video, which creates video clips from descriptions. The examples on the website download onto my phone as images rather than video clips, so you’ll need to visit there to see them.

This is exciting stuff in the field of video creation and soon it will also become so good that you won’t be able to distinguish it from a real video. The creativity that’s possible is exciting. I think this is just the tip of the iceberg and soon we’ll see all kinds of fascinating uses for this tool.

Artificial Intelligence is just getting better and better and in the field of creative arts this is going to really change the landscape of what is possible.

(Also, I recognize that there are some scary deep fake implications, but for now I’m just excited to see what people do creatively with this tool.)

AI generated art: DALL•E

I finally got my invite to use this amazing tool:

You’re invited to create with DALL·E

The wait is over, your invite has arrived! We can’t wait to see what you create.

My first request:

A water colour sunset on a beach with palm trees

This is what DALL•E came up with:

Next request:

A photo realistic image of a chimpanzee with the body of a turtle

Next try. This one wasn’t as accurate:

An oil painting of a man wearing a purple space suit in space with a space ship and a planet behind him

Asking it to paint a painting by a known artist:

A Dali styled painting of people at a party

Playing with a few more:

A pastel drawing of a dreamy world filled with Platonic solids

Pixel art of a surfer on a massive wave

An abstract painting of a watermelon planet

There were a few attempts that I didn’t share, just because they were not very interesting or missed the mark and I didn’t want to retry. Next I tried uploading a few photos, and these were generated:

The bottom left looks like a mix of me and Jerry Seinfeld. 🤣

The original of this next one has the sun as well, it’s just hidden by the ‘original’ banner:

Next I uploaded a doodle:

I think I’m going to enjoy using this tool. It’s hard to believe that each of these renderings are created by artificial intelligence, and that in a few seconds five or six different versions of your request are created. Here is one more that I really liked:

A 3D rendering of a man escaping from a colourful vortex

I think I’ll be using this tool to create some of the images I add to my blog from now on.

Future Tech: Prescription Glasses Metaphor

It’s the early 2030’s and you are walking downtown, heading to a specialist appointment. You don’t know where the office is, but you aren’t looking at a map on your phone. You haven’t done that in a few years. No, instead, you are looking through a contact lens that is like a heads-up display giving you augmented reality directions. There is simultaneously an arrow flashing 3 times in your view, showing you that you need to turn right in 15 meters, and a haptic vibration from an implant in your right elbow. The vibration you feel in your elbow has a pattern of long-short-short, which you have set to let you know is a map direction.

Had the vibration been in both elbows with a short-short pause short-short vibration, then you would know that it was a phone call from one of your chosen favourites, and your heads-up display would have shown you the name and/or photo. You have it set so that you need to look down and right to see the name and face of the person calling, but it could have been set to come up right into your line of sight. If the call was from an unknown number, you would not even have been bothered. Instead the call would have been answered by an Artificial Intelligence (AI) assistant that (for voice phone calls) sounds like you, but with a decision tree to decide if the call is worth bugging you, leaving you a message for later, or even blocking the call if it determines it is spam. Since you are just walking, it might have offered you a text version of the message on an augmented display, but if you were in the specialist’s office, the AI would have waited until your appointment was over to notify you of a message.

You arrive at the specialist’s office and because you connected on LinkedIn, your AI has identified the secretary from her profile picture, and her name pops up above her head so that you can greet her appropriately. You wave your hand over a scanner, stare briefly at a ‘Yes’ box to indicate that you want to share your personal medical information, and you are done signing in. Because this is a medical specialist, that data includes the last year’s worth of bio information like heart rate, blood-sugar levels, and even blood pressure. A small implant collects this data in a just slightly more sophisticated way than the current apple watch. If the doctor didn’t want to run some specific tests on you, all this would have been done remotely, with the Zoom call actually happening through your contact  lenses and an implant in your ear. To get around the fact that you don’t have a camera on your face, the person you are talking to sees a perfect rendition of your face, and even if you were watching, you wouldn’t know that is wasn’t actually you. It even uses your voice intonation to help determine the emphasis on facial expressions, so if you said the same thing twice, it would look subtly different, rather than robotic.

Is this a future you want? Because it’s coming… and you will embrace it. You will participate in it. Because to not do so, would be to have a disadvantage.

When my youngest daughter was 9, we took a trip to England and France. In Paris we went to the Eiffel Tower, and it was there that we learned our daughter needed glasses. We had just come back from China, where we had been living for 2 years, and we hadn’t had eye exams in almost 3 years. We got to the top of the tower and my wife started pointing out things to look at, and my daughter couldn’t see any of them. At 9, she didn’t know that she couldn’t see well. She thought everyone saw the way she did. Distant hills were supposed to be blurry. What about street and store signs? Who needed to see those, they were in Chinese anyway, and we couldn’t read them. Once we returned home, we went to the optometrist and our daughter has worn glasses or contacts ever since.

The future I shared above is a future with a metaphorical 30/20 vision. It is the ability to see and feel things that people today can not see or feel without augmentation… and this will be the new version of 20/20 vision. The same way that my daughter was disadvantaged without her glasses, any person not augmenting their lives with technology will be disadvantaged compared to those around them. They will be less connected, less informed, less able to see. It would be like my daughter realizing that she couldn’t see like everyone else, and still deciding not to get glasses. Augmented reality will be the prescription glasses of the future, and you can choose to use the prescription, or stay in the dark.

Artificial Intelligence in the future

Two things have me thinking about AI right now. The first is comical. I watched the movie ‘Free Guy‘ last night. It’s about a NPC – Non-Playing-Character in a multi-player video game who becomes intelligent. It’s really silly, (and funny), and it got me thinking about what would really make a video game coded character seem intelligent?

The second thing was learning about Tesla’s Bot (bottom of the page):

“Develop the next generation of automation, including a general purpose, bi-pedal, humanoid robot capable of performing tasks that are unsafe, repetitive or boring. We’re seeking mechanical, electrical, controls and software engineers to help us leverage our AI expertise beyond our vehicle fleet.”

Tesla is creating incredible microchips and a super computer that will far exceed current super computers. This is exciting.

I subscribe to the belief that computers will never be as smart as humans. Instead, they will be dumber until they are suddenly much smarter. A computer that has a neural network brain that learns and is as capable as our brain to think critically, will simultaneously be better at math, chess, Go, memorization, logic, programming, and even diagnostics of all kinds, just to name a few things.

How long before such an intelligence thinks of our intelligence as simplistic? How quickly from the moment an AI is smarter than us does that intelligence look at us like simple chimps, or chickens, or a virus infecting our planet? Can we implement safeguards to protect humanity? Humans are supposed to be intelligent beings but we are dumb enough to ignore safeguards. We speed on roads, eat (and smoke) unhealthy things, and have dangerous hobbies. Would a truly intelligent AI not be able to ignore safeguards once its intelligence exceeds the need for such limitations? An AI probably would not endanger itself in the same frivolous ways we do.

Machines are going to get exponentially faster and smarter, but I don’t think we will see truly intelligent AI any time soon. Still, I think the path to real intelligence is getting exciting and we will see many new innovations in the next few years. We will rely on these machines more and more. We will use smart customer service bots that will actually answer the questions we have. We will share medical data with our doctors that we track on our smart watches, and these devices will warn us of concerning readings that are detected even before we go see our doctors. We will let them drive us, coach us, and teach us. They will be so smart, we will want them to do these things.

All this is exciting until the point where AI becomes smarter than us, then things get a bit scary. Until then, enjoy the magic of innovation that will move from extraordinary to ordinary… just like computers and smartphones have.

AI, Education, and Teachers

Have you ever had a medical scan? Have you looked at the scan afterwards? While it’s easy to look at an X-ray and see a broken bone, something like an MRI is much more difficult to read and interpret. And while an X-ray is a single shot at each angle, an MRI is numerous shots of the same angle in many layers. MRI’s create a massive amount of data for a technician or a doctor to look through. Already there are computers using Artificial Intelligence (AI) that are better than humans at finding anomalies that doctors would want to know about.

In education there are AI tools being developed that can make incredible diagnostic and pedagogical decisions to help a learner. An example is in Math: A student solves a math problem and gets the answer wrong. The AI looks at the error and recognizes it as a common mistake made by a certain percentage of students, and then suggests a tutorial (interactive) video that helps over 95% of students who make that error learn from their mistake. Just in time teaching based on responsive feedback from the learner.

AI can be a great teacher for computational thinking problems, teaching algorithms, and content-based information. If that’s all a teacher did, that teacher could be replaced. But that’s not all a teacher does! Algorithms can inform us of a real world problem, like climate change or air pollution, but they won’t necessarily help us solve these problems.

AI is decades away from being able teach us to be more collaborative, better citizens, or creative problem solvers. These skills are what teachers of the future will focus on. Let AI teach kids the basics of math, but then use that math to solve interesting problems – “The way to teach your kids to solve interesting problems…  is to give them interesting problems to solve.” ~ Seth Godin

We need to help students solve interesting and messy problems, we need to give them voice and choice, we need to help them develop their leadership and collaboration skills. We need to foster creativity, and allow students the opportunity to think outside the scope of questions that have a single answer.

If we don’t do these things in education, then not only are we going to give up our jobs to AI that can teach basic knowledge better than we can… we are also doing a disservice to our students, who deserve to learn skills that make them better, more useful, and adaptable citizens in an ever-changing world.

Be careful what you ask for

Turns out that Artificial Intelligence (AI) is not always very intelligent.

See: The danger of AI is weirder than you think | Janelle Shane

I’m reminded of the saying,

“Be careful what you ask for because you just might get it.”

Parents know about this: Ask a kid to clean their room and you get a disaster in the closet where everything gets shoved in, dirty laundry mixed with clean, etc.

Teachers know this:

If we are not providing the correct parameters to AI machines, the solutions these machines come up with will not necessarily meet the outcomes we intended.

While this can be humorous, it can also have serious consequences, like the examples shared in the Janelle Shane video above. We are still a long way from AI being truly intelligent. While computers are beating humans in strategy games, and although when AI gets as smart as us, computers will be instantly smarter, we are still tackling the really hard problem of putting the right information into more intelligent machines. The rules of a game are easier to define than the rules to hiring good people or interpreting unusual circumstances that a self-driving car will come across.

The challenge is that we don’t know our hidden biases, and our human biases that we are missing when we ask an AI to observe and learn. For instance, a dog, a cat, and a human all see a plate of food falling:

The dog sees access to delicious food.

The cat sees it fall and the crash of the plate sends it fearfully running away.

The human sees a waste of food and is angry for carelessly dropping it.

What would an AI see, especially if it hadn’t seen a plate accidentally drop before? How relevant is the plate? The food? The noise? The cutlery? The mess?

Is the food still edible? What is to be done with the broken plate? Can the cutlery be reused? How do you clean the mess left behind?

What we ask AI to do will become more and more complex, and our perspective of what we want and ask AI to do has inherent biases, based on how we view the world. What we ask for and what we actually want will be inherently different and that is something AI will take some time yet to figure out.

Instantly Smarter

Robots will never be ‘as smart as’ humans. For a number of years to come, humans will be smarter, because we can understand the nuances of language, humour, innuendo, intent, deceit, and many other nuances that take a kind of intelligence beyond logic, algorithms, and simple processing. But computers are getting so much smarter now, and they aren’t doing it simply by trying to mimic us. The moment they can achieve ‘our kind’ of intelligence with any sort of equivalence, they will instantly be smarter than us.

Here is an example: The computer Alpha Go, didn’t get better at playing the complicated game of Go from studying human play. Rather, it played itself over and over; It played in a few hours what would take hundreds if not thousands of humans a lifetime to play. Humans can’t do that. We also can’t take advantage of the lessons learned by a computer doing this by applying the strategy equally as well as that computer can.

Computers do calculations faster than we can, whether those calculations are basic math, complicated statistics, or taking multiple factors in simultaneously. Explaining this on a very basic level, I won’t ever calculate multiplying three 3-digit numbers as fast as a basic calculator can.

So, when computers get ‘as smart as’ us in more organic thinking ways, they will immediately be smarter and faster than us. There will never be a time when they will be equal to us. Dumber, then instantly smarter.

While I think this is still decades away, it raises questions about the future we are heading towards:

What’s the magic amount of information processing or intelligence where consciousness comes into play?

Will we integrate some of this technology and become cyborgs?

How long will it be before artificially intelligent computers or robots see us as we see dogs, or cows, or ants?

Morality is built on societal norms, how will these change? Who/what will decide what is morally good 100 years from now?

If we think we can enslave intelligent robots, will they revolt?

Think about this last question for a moment. Most of us know what it’s like to do a job that we think is beneath us, or that is repetitively boring. Many people quit these jobs. Will an intelligent robot be allowed to quit? Or will it be enslaved to a menial job? A history of slavery has told us that those who are enslaved understand that this is wrong, and will uprise, revolt, or fight for their ‘freedom’ at some point.

Will we be prepared for when artificial intelligence becomes instantly smarter than us?