Tag Archives: future

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.

Dear Grocery Store

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It’s time to enter the 21st-century and provide intelligent search in your stores.

Create an App that is a shopping list that automatically sorts products by the aisle that they are in. Have sensors that the app detects so that once in that isle, you can see right where the product can be found.

Yes, I know you make a lot of extra money selling stuff because people are searching, can’t find their products, and see other products to pick up, but here’s a better way to do it!

You have an extreme amount of data about what people buy together. Instead of relying on them accidentally stumbling upon something as they search, use the data you have:

1. Put things together that people have bought together on their past shopping experiences. There are hundreds of millions of orders you have already tracked on every receipt you’ve ever printed and stored. Yes, that might be challenging for someone who doesn’t use the app, however, you’re going to design the app so that it would be stupid not to use it.

Who knew that people who bought tacos also bought mango curry sauce… you do because the data says so. So, why not put them next to each other in the grocery store?

2. Use the bottom 1/4 of the App to a) suggest related items when an item is added to the list, and b) show related items or data-suggested items while looking for the next item on the list.

3. Personalize suggestions based on individualized purchase history. If someone adds taco shells regularly, remind them about taco shells or salsa the next time they buy ground beef.

4. Make the App features great. Make it ideal for other lists too, make it indispensable. Add features that might suggest other items if you are on a diet. Or let a vegetarian know that a sauce has meat products and suggest another one that doesn’t.

5. Don’t game this too much. We aren’t stupid. If we see that every item you suggest is by Kraft, or we see the same items again and again that your App is pushing to us for advertising kickbacks, we’ll know the App is made for you and not for us. Here’s a magical idea, don’t just say you put the customer first, actually put them first!

The days of forcing people down every isle for them to buy more products are over… or they will be for you if you competitor takes this App idea before you do.

Ashtrays and Newspaper Racks

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If you are Gen X, then at some point in your schooling you probably made your parents an ashtray out of clay. I did, and my parents didn’t even smoke. And if you were in a woodworking class you probably made some sort of newspaper or magazine rack, which was something your parents might have had in your living room. Depending on how good it was, this wooden creation may or may not have been as prominently displayed in your house as the ashtray. But these were a couple ‘practical’ things we made in school ‘back in the day’.

Both my daughters, who went to different middle schools, made gum ball machines out of wood, which used a mason jar to hold the gum balls. And I think for both of them the other option was a birdhouse. These were their versions of ashtrays and newspaper racks.

I bet most kids today will come home from school at some point with a 3D printed keychain. Most houses don’t have ashtrays, or newspapers or even magazines. Most parents wouldn’t know where to go to buy loose gum balls to put in a school made gum ball machine. Times change and so do the crafts students create at school.

Some of the other things students might (and do) create at school these days include: Apps, websites, and online businesses. These are the modern day ashtrays. A bit more practical, and a lot more relevant. That said, I hope kids still get a chance to work with clay and wood. I still want to see art that is 3D but not 3D printed. No one needs a newspaper rack or gum ball machine but bird houses can still be made.

There are cookie-cutter style ‘everyone makes the same design’ kind of bird houses, and then there are versions of the same project which are open to design thinking and personalization. And it really doesn’t have to be a bird house… just a hands-on creation using tools rather than a keyboard. But when I said, “I still want to see art that is 3D but not 3D printed.” I also should have mentioned that I want kids to also 3D print things.

The message of this little, nostalgic visit down memory lane isn’t just to say bring back the old hands-on projects, and do away with the new ones. Rather it’s to say we need both. We need students creating physical crafts, with their hands, at school and we need them designing new digital products with new tools as well. I’d be a bit concerned if kids today came home with ashtrays, but I’d still love to see them producing creative works that involve building and creating physical things with their hands.

I also wonder what the 2050 version of the school made ashtray will be?

Gen X Wave

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We are in for a unique change in the workforce. We are approaching a wave of Generation X retirements and that’s leading to shortages in the workforce. Teachers, nurses, doctors, plumbers, and many more positions that AI won’t easily replace, are seeing retirements happen faster than they can be replaced.

So part one of the change is simple to see, and that’s workforce shortages. The other part of this wave is these same Gen X’ers taking on different jobs. People retiring in their late 50’s and early 60’s are not all going to leave the workforce completely. This will happen for a couple reasons.

They won’t leave because their pensions need to be subsidized to live the life they want to live, and they won’t leave because work gives meaning to a lot of them… being productive is important in feeling young and staying healthy. Some of these people will continue working in their old fields after receiving there pension, ‘double-dipping’ and earning both a pension and also doing their old job part time. But others will go into whole new fields.

This is a part of the wave that is undefined and even exciting. I think you are going to see an increase in ‘creatives’ who are going to be 55+ in age. Older social media influencers, and artists, and producers of creative content. You’ll see novelists whose first best seller was written after the author turned 60. You’ll see short, clever, high quality filmmaking and storytelling. You’ll see new companies going viral with first-time CEO’s and entrepreneurs who are also senior citizens.

When Gen X retires they are going to ‘hit different’. Then again they are a generation that seemed to define themselves as different all along. I’m excited to see how they hit retirement are redefine it in the coming years.

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.