Tag Archives: AI

AI and the collapse of a shared reality

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TikTok has introduced me to some very interesting content creators. One such person is Morten Rand-Hendriksen, who goes by the username @mor10web.

He shared this insight recently:

@mor10web

#AI image generation, the destruction of our shared perception of reality, and the inevitable collapse of democracy. Inspired by posts on the same topic from @Paige | AI Ethicist

♬ original sound – The Mor10 of the Web

After discussing the fact that people stuck in an echo chamber of like-minded people start to call a real photograph an AI generated fake… he says,

“Here’s what keeps me up at night: We’re converging on a point where it is easier to claim that real images are fake than it is to prove that images are generated using AI, or manipulated using AI. And that means we have no reasonable expectation of any image or any video or any audio being real. And we don’t have the tools or the media literacy to really do this analysis.

…and we are in the situation we’re in now where people can choose their own reality and live in a reality dysfunction. And AI provides the tools and capabilities to make that reality disfunction into our lived reality.”

Indeed, our shared reality has collapsed. AI generated fakes spread like wildfire through echo chambers of like-minded groups, and even when discovered to be fake, there is no effort to make corrections if the fake fits the group’s narrative… and any real media that doesn’t fit that same reality is easily dismissed as a fake.

Maya Angelou said, “We are more alike, my friends, than we unalike.” I would agree with that when we had a common shared reality, but I question it now in a world filled with AI generated fakes, and a lack of media savviness to determine what really is real. The collapse of a shared reality is a threat to our world, whether the split is socioeconomic, political, or religious. We are increasingly growing unalike.

The Nvidia omniverse

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The future is here. In this quick video Nvideo CEO Breaks Down Omniverse, Jensen Huang discusses a virtual space where robots and Artificial Intelligence (AI) practice and rehearse their actions in a virtual space before trying things out in the real world. Specifically, he discusses car manufacturing and trying out designs of both machines and factories before physically building them, reducing rebuilding and redesigning time.

This is a game changer in the design of not just systems but in building physical things. The design phase of new products just got a steroids boost, and the world we know is no longer the world we live in.

We are now in an era of AI assisted design and manufacturing that is going to explode with amazing new products. Robots using AI in a virtual omniverse, trying out new creative ways to build new items faster, and more efficiently. Robots building robots that are tested in a virtual world, tweaked by AI, and retested virtually, tweaking the design of the very robots that will be building the new robots. Let that last sentence sink in… robots and AI redesigning other robots and AI… machines building and designing machines.

But that in itself isn’t the steroid boost. The real power comes from practicing everything first in this virtual omniverse world. Trying out the physics and dynamics of the new tools in an environment where they can be tested thousands and even millions of times before actually being built. This is where the learning is accelerated, and where things will move so much faster than we’ve ever seen before.

Products used to takes years of development to be built, but now a lot of that time is going to happen virtually… and with iterations not happening sequentially but simultaneously. So years of development and production design happen in moments rather than years. With the omniverse we are going to see an acceleration of design and production that will make the next few years unrecognizable.

It makes me wonder what amazing new products await us in the next 5-10 years?

Boxes Made to Fit

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William (Bill) Ferriter shared a post on LinkedIn about the struggles his daughter is having at school. While I will share a key quote from his post, I encourage you to read the full post here. Bill said,

Should we be failing students who pass unit tests and quizzes but don’t turn in practice tasks? Were those practice tasks essential as a vehicle for preparing students or assessing learning if a student can demonstrate mastery on the unit test without them? How many assignments do we really need to determine if a student is working at or above grade level? Could we use something other than zeros — think codes like INC or placeholder grades like 50s — to report on missing work? Does every student have to do every assignment?

On a more philosophical level, are we cheapening our professional credibility when we report that a student who passes most/all of our quizzes and tests has failed our class? Are grading policies with rigid consequences for missing work effective for encouraging learning? For changing behavior? Is the purpose of grades to report on student mastery of essential outcomes or to report on the ability (or lack thereof) to keep up with schoolwork?

I left Bill the following comment:

In my first year teaching a colleague (also in his first year) was experimenting with grading and asked a simple question that has stuck with me:
“Are we counting marks or marking what counts.”
(See the first half of this old post – if you go past the first half, sorry that the image links seem to be broken.)

My daughter was training 24-26 hours a week in Synchronized Swimming and missed some gym classes going to Provincials and Nationals. Despite consistently being the second fastest girl doing their weekly runs (behind a Provincial level soccer player), she was told at the end of the year she would only get a ‘B’ unless she made up a run and did a volleyball rules quiz she missed.

I share this because it exemplifies the idea of just counting marks.

To me this undermines the professionalism of teaching. It says, ‘We only care about the numbers’, and that my friend is exactly what AI can do better than us. I hope to see educators around the world thinking more deeply about what really matters to students in school. We need to stop building schools and courses like boxes students need to fit into and more like boxes made to fit students!

AI and languages

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I just watched a video where the new Chat GPT-4o seamlessly translated a conversation between an Italian and English speaker. I know this isn’t the first tool to do this, but it’s the first time I’ve seen an example where I thought about how useful this is. It gave me the realization that instant language translation will revitalize diversity of language

In my travels, I’ve noticed that English is a language that is becoming more and more widespread. Not everyone knows English, but recently in both France and Spain I had far less challenges communicating compared to my travels to France 12 years earlier. I think this stems from a move towards everyone desiring to speak a common language. Want to be able to talk to people in most parts of the world? Learn English.

But maybe that desire will diminish now. If I get to speak in my mother tongue and someone who speaks English can hear a seamless translation, do I really need to learn English? Maybe in the future people will be less likely to pick up a new language? Will we see a slowdown in the acquisition of the English language?

While I think we’ll see this shift, it won’t be drastic. Yet I can see both positives and benefits to this. A positive is that people will be more likely to hold on to the language of their heritage. A negative could be that in countries with high immigration the effort to learn the country’s home language might be less desirable. While this won’t necessarily cause an issue communicating since these AI tools can help, it can potentially undermine the social fabric of the country.

And maybe that’s not as big a concern as I’m making it out to be?

Still, I’m excited about the ease with which I’ll be able to travel to countries where the primary language isn’t English. I look forward to having conversations I could not have previously had. Tools like this make almost every person in the entire world a possible acquaintance, colleague, and friend. That’s a pretty exciting thing to think about.

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As an aside, a lot of AI image creators still have issues with text, as the image accompanying this post demonstrates. This was my prompt: An English, Spanish, and French person sitting at a table, each saying “Good Morning” in their own language, in a speech bubble.

Having AI write my blog for me

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This is NOT something I plan on doing. I was just interested in seeing what Chat GPT (on the Bing interface) could write in my style. The first blog topic it suggested wasn’t great. It suggested: The Rise of Micro-Entrepreneurship: Empowering Individuals in a Digital Age”

The article was just that, an article, not a Daily-Ink, a ‘let me tell you about this topic’ essay. So then my next prompt was: ‘try a lighter topic please’. (I tend to use ‘please’ and ‘thank you’ in my prompts.) This was what Chat GPT came up with:

The Art of Finding Joy in the Little Things

In a world that’s always racing to the next big thing, it’s easy to overlook the small moments that make life truly special. But what if I told you that the secret to happiness might just be hiding in those tiny details we often take for granted?

Take a moment and think about the last time you paused to watch a sunset, or how you felt when you caught the scent of fresh rain on pavement. Remember the warmth of a cozy blanket on a chilly evening, or the infectious laughter of a child. These instances may seem insignificant, but they hold the essence of joy.

It’s in these moments that we find a connection to the world around us. A beautiful melody, a kind word from a stranger, or the perfect cup of coffee can uplift our spirits and remind us that joy doesn’t require grand gestures; it’s all around us, waiting to be noticed.

So, let’s celebrate the little victories, like finding a forgotten bill in your pocket or hitting all green lights on your way home. Let’s find joy in the everyday – in the quiet morning hours before the world wakes up, in the pages of a good book, or in the comfort of our favorite shoes.

Life is a collection of moments, and the happiest people aren’t those who chase after extraordinary experiences, but those who find delight in the ordinary. So here’s to the little things – may they continue to inspire us and bring a touch of magic to our everyday lives.

Embrace the little joys, and watch as they transform your perspective on life!

There are a couple parts that feel like my voice, but not enough of it that I’d mistake this as my own writing. Still, this is much better than ‘The Rise of Micro-Entrepreneurship’… and more in line with a few topics I’ve written about.

I find myself using AI a lot more, but I won’t be using it to write my Daily-Inks. I want this space to be one where I express my thinking, my learning, my voice. For me, the art of finding joy is in a little process called writing, not prompting.

Edu-tainment and the future

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It’s interesting how the idea that ‘learning can be fun’ has been translated into the gamification of education, which in turn has devolved into making games that are essentially about practice pages that are ‘fun and interactive’.

I think AI has the ability to change this. Learning can be less about practice questions and more about deeper learning. Instead of playing a game with progressively harder, very predictable levels, the learning could authentically go where a student is interested. Two students could start the same, entertaining journey but end up learning and achieving vastly different outcomes. Not just higher math skills, but rather practical learning. A puzzle trying to determine the wiring of some gadget could lead to teaching basic electronics and it could lead to learning about electrical engineering.

The more used approach in machine assisted learning is to have specific goals and be responsive to the learner’s ability. The more advanced approach is to have general objectives and to be responsive to the learner’s interests.

It’s not just the outcomes of these that are drastically different, it’s also the entire approach to what it means to say, ‘Learning can be fun’.

How soon, Siri?

I’m excited to see how Siri will be updated with the advancements seen in Artificial Intelligence. AI has come a long way and I think it’s time Siri got a serious upgrade.

I will often ask Siri a question and the response I get is, “Here is what I found,” with web links from a simple Google search.

I want Siri to give me the details in a conversation. I want Siri to ask me follow-up questions so its response is better. I want Siri to figure out better searches based on my previous lines of questioning. I want a fluid conversation, not just a simple and often unhelpful question and response.

Essentially I want a Siri that feels less like voice response to a simple query, and more like a personal assistant. when is this upgrade going to happen?

The quest for food

I’m on holidays and I’ve had the privilege of watching a few sunrises over the ocean. Before the sun rises, but the day has brightened, and before the glare gets in the way, birds nose dive for small fish feeding on the turmoil of the ocean; as waves crash near the shore. I’m reminded of another privilege we all have: we don’t have to spend most of our day seeking food.

These diving birds must constantly be on the move, seeking their next meal. Food is life, and the quest for food makes up a significant part of most bird’s and mammal’s day. We don’t have to do that. We have the luxury of grocery stores, restaurants, refrigerators, and means to store food without it going bad. Much of our innovation and subsequent convenience comes from our ability to spend precious time not in the quest for food.

But it’s not just about innovation and convenience, it’s also about creativity. I think we are on the threshold of a new era of creativity. AI and robotics are going to move us into an era of greater innovation and convenience, and ultimately give us more precious time to design, create, and be artistically inspired.

The quest for food will be replaced by the quest for self-expression. A new chapter is about to be written… it will feel much more like fiction than reality.

The greatest threat to mankind

I recently wrote about the Top Risks of 2024, which were in order of concern:

  • The United States versus itself
  • The Middle East on the brink
  • Partitioned Ukraine

Any of these three risks can have dire consequences on the stability of global politics, global trade, and global conflicts far beyond the borders of the mentioned countries.

These are imminent dangers that leave the rest of the world feeling like pawns on a chessboard filled with ‘other’ power pieces making all the strategic moves. But there is one danger on the geopolitical chessboard that I think will become the biggest threat we face when in the near future, and that’s the pawns themselves. Not the powerful pieces, but rather a rogue ‘nobody’.

While people fear Artificial Intelligence, and the rise of AI robots, what I fear is rogue humans using AI with harmful intent. The future will permit individuals with evil intentions to have too much power. It comes down to two well known adages: information is power, and power corrupts.

The problem isn’t a rogue leader, or a rogue country, it’s a rogue individual with too much information and too much power. A perfect example? See #5 on this article: ‘Why we’ll never actually destroy the last samples of smallpox’,

5) We could always recreate smallpox from genetic information

One could argue that in the information and genetics age, nothing really dies forever. It just dies until the technology to resurrect it appears. And for smallpox, that time is now.

The technology is here. And so is the necessary information: the complete DNA sequences of roughly 50 smallpox samples are available to the general public. This means that people could make smallpox in the lab. “Someone could if they wished recreate live virus from scratch just from that public information,”

We are less than a decade away from one intelligent crackpot, working in his or her (more likely an incel ‘his’) basement lab, creating or recreating a deadly virus and having it spread covid-19 style across the globe.

We are 15-20 years away from some crackpot scientist developing a nuclear bomb from parts and resources ordered online… without ever raising red flags to warn of his intentions.

The greatest threat to mankind isn’t wealthy people, politicians, and powerful countries, it’s one individual with malice in his heart and access to knowledge and information more power than anyone should ever have.

It’s already here!

Just yesterday morning I wrote:

Robots will be smarter, stronger, and faster than humans not after years of programming, but simply after the suggestion that the robot try something new. Where do I think this is going, and how soon will we see it? I think Arther C. Clarke was right… the most daring prophecies seem laughably conservative.

Then last night I found this post by Zain Khan on LinkedIn:

🚨 BREAKING: OpenAI just made intelligent robots a reality

It’s called Figure 01 and it’s built by OpenAI and robotics company Figure:

  • It’s powered by an AI model built by OpenAI
  • It can hear and speak naturally
  • It can understand commands, plan, and carry out physical actions

Watch the video below to see how realistic it’s speech and movement abilities are. The ability to handle objects so delicately is stunning.

Intelligent robots aren’t a decade away. They’re going to be here any day now.

This video, shared in the post, is mind-blowingly impressive!

This is just the beginning… we are moving exponentially fast into a future that is hard to imagine. Last week I would have guessed we were 5-10 years away from this, and it’s already here! Where will we really be with AI robotics 5 years from now?

(Whatever you just guessed is probably laughably conservative.)