Tag Archives: Artificial Intelligence

Manufacturing Beliefs

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“The mass media serve as a system for communicating messages and symbols to the general populace. It is their function to amuse, entertain, and inform, and to inculcate individuals with the values, beliefs, and codes of behavior that will integrate them into the institutional structures of the larger society. In a world of concentrated wealth and major conflicts of class interest, to fulfill this role requires systematic propaganda.”

~ Edward Herman & Noam Chomsky, Manufacturing Consent, 1988

Embrace yourself. We are in for a whirlwind of propaganda directed to both sway and embolden our beliefs. We will need to question the sources of our information. We will need to understand where the bias of the message is coming from. We will need to fact check for reliability, accuracy, and exaggeration.

We will be entertained. We will be angered. We will be emboldened. We will be ridiculed by those who disagree with us. And we will be the ones ridiculing others who hold different beliefs than us. Systematic propaganda will slowly lead us to more polarized views.

This is not a test of your emergency broadcasting system. This is also not an emergency. No, it is the emergence of political propaganda in a post Truth era. Find your own truth, fabricate your own truth. Because the media outlets you believed you believed in are not the ones in existence today… and they do not transmit Truth.

Marshall McLuhan was correct, ‘the medium is the message’, and the medium is designed not to inform but to entertain; to excite; to anger; to draw attention, clicks, and eyes on advertising. No, not to inform, to trick you. Sway your opinion, and lie to you.

Are your beliefs your own or have they been manufactured, manipulated, and swayed by the media you watch? Will you be able to answer that question as convincingly a year from now? Will your beliefs be yours or will they be governed by the propaganda you choose to watch and believe in? Be warned, the answer to that question might not be the answer you currently believe.

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?

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.

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?

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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

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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

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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!

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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.)

The most daring prophecies

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In the early 1950’s Arthur C. Clarke said,

“If we have learned one thing from the history of invention and discovery, it is that, in the long run — and often in the short one — the most daring prophecies seem laughably conservative.”

As humans we don’t understand exponential growth. The well known wheat or rice on a chessboard problem is a perfect example:

If a chessboard were to have wheat placed upon each square such that one grain were placed on the first square, two on the second, four on the third, and so on (doubling the number of grains on each subsequent square), how many grains of wheat would be on the chessboard at the finish?

The answer: 264−1 or 18,446,744,073,709,551,615… which is over 2,000 times the annual world production of wheat.

All this to say that we are ill-prepared to understand how quickly AI and robotics are going to change our world.

1. Robots are being trained to interact with the world through verbal commands. They used to be trained to do specific tasks like ‘find one of a set of items in a bin and pick it up’. While the robot was sorting, it was only sorting specific items it was trained to do. Now, there are robots that sense and interpret the world around them.

“The chatbot can discuss the items it sees—but also manipulate them. When WIRED suggests Chen ask it to grab a piece of fruit, the arm reaches down, gently grasps the apple, and then moves it to another bin nearby.

This hands-on chatbot is a step toward giving robots the kind of general and flexible capabilities exhibited by programs like ChatGPT. There is hope that AI could finally fix the long-standing difficulty of programming robots and having them do more than a narrow set of chores.”

The article goes on to say,

“The model has also shown it can learn to control similar hardware not in its training data. With further training, this might even mean that the same general model could operate a humanoid robot.”

2. Robot learning is becoming more generalized: ‘Eureka! NVIDIA Research Breakthrough Puts New Spin on Robot Learning’.

“A new AI agent developed by NVIDIA Researchthat can teach robots complex skills has trained a robotic hand to perform rapid pen-spinning tricks — for the first time as well as a human can…

Eureka has also taught robots to open drawers and cabinets, toss and catch balls, and manipulate scissors, among other tasks.

The Eureka research, published today, includes a paper and the project’s AI algorithms, which developers can experiment with using NVIDIA Isaac Gym, a physics simulation reference application for reinforcement learning research. Isaac Gym is built on NVIDIA Omniverse, a development platform for building 3D tools and applications based on the OpenUSD framework. Eureka itself is powered by the GPT-4 large language model.”

3. Put these ideas together then fast forward the training exponentially. We have robots that understand what we are asking them, which are trained and positively reinforced in a virtual physics lab. These robots are practicing how to do a new task before actually doing it… not practicing a few times, or even a few thousand times, but actually doing millions of practice simulations in seconds. Just like the chess bots that learned to play chess by playing itself millions of times, we will have robots where we ask them to do a task and they ‘rehearse’ it over and over again in a simulator, then do the task for the first time as if it had already done it perfectly thousands of times.

In our brains, we think about learning a new task as a clunky, slow experience. Learning takes time. When a robot can think and interact in our world while simultaneously rehearsing new tasks millions of times virtually in the blink of an eye, we will see them leap forward in capabilities at a rate that will be hard to comprehend.

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.

AI, Content and Context

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I found this quote very interesting. On his podcast, Diary of a CEO, Steven Bartlett is talking to Daniel Priestley and Steven mentions that Open AI’s Sam Altman believes we are not far away from a 1 person company making a billion dollars, using AI rather than other employees. Daniel pushes back and says while that might happen, a more likely and more repeatable scenario would be a 5 person team. Then he says this:

“AI is very good at content but not context. And having 5 people who share a context and create a context, together… then the content can happen using AI. AI without that context, it doesn’t know what to do, so it doesn’t have any purpose.”

Daniel Priestley

Like I shared before, “The true power and potential of AI isn’t what AI can do on its own, it’s what humans and AI can do together.”

This idea of context versus content seems to be the ingredients that make this marriage so ideal. This is noticeable when generating AI images, as I’ve done for quite some time, creating images to go with this blog. For example, I’ll describe something like a guy on a treadmill and maybe one of the four images created would have the guy backwards on the treadmill – content correct, but not context. As well, AI is really unaware of its’ own biases that humans can more easily see. These context errors are common.

But just as AI will be better teaming with humans, humans are also better when they team with other humans, rather than being solo. We miss context too, we struggle to see our own biases, unless we have people around us to both share and create the context.

The best innovations of the future are going to come from small teams of people providing rich contexts for AI. And while AI will get better at both context and content, it’s going to be a while before AI can do both of these really well. It’s what AI and humans can do together that will be really exciting to see.