Category Archives: Information Seeking & Foraging

Bots and Agents – The Present and Future of A.I.

This past weekend I got started on a website I told a friend I’d help him build. I’ve been building websites for over 30 years now, but for this one, I decided to use a platform that was new to me. Knowing there would be a significant learning curve, my plan was to use the weekend to learn the basics of the platform. As is now true everywhere, I had just logged into the dashboard when a window popped up asking if I wanted to use their new AI co-pilot to help me plan and build the website.

“What the hell?” I thought, “Let’s take it for a spin!” Even if it could lessen the learning curve a little bit, it could still save me dozens of hours. The promise given me was intriguing – the AI co-pilot would ask me a few questions and then give me back the basic bones of a fully functional website. Or, at least, that’s what I thought.

I jumped on the chatbot and started typing. With each question, my expectations rose. It started with the basics: what were we selling, what were our product categories, where was our market? Soon, though, it started asking me what tone of voice I wanted, what was our color scheme, what search functionality was required, were there any competitor’s sites that we liked or disliked, and if so, what specifically did we like or dislike?  As I plugged my answers, I wondered what exactly I would get back.

The answer, as it turned out, was not much. As I was reassured that I had provided a strong enough brief for an excellent plan, I clicked the “finalize” button and waited. And waited. And waited. The ellipse below my last input just kept fading in and out. Finally, I asked, “Are you finished yet?” I was encouraged to just wait a few more minutes as it prepared a plan guaranteed to amaze.

Finally – ta da! – I got the “detailed web plan.” As far as I can tell, it had simply sucked in my input and belched it out again, formatted as a bullet list. I was profoundly underwhelmed.

Going into this, I had little experience with AI. I have used it sparingly for tasks that tend to have a well-defined scope. I have to say, I have been impressed more often than I have been disappointed, but I haven’t really kicked the tires of AI.

Every week, when I sit down to write this post, Microsoft Co-Pilot urges me to let it show what it can do. I have resisted, because when I do ask AI to write something for me, it reads like a machine did it. It’s worded correctly and usually gets the facts right, but there is no humanness in the process. One thing I think I have is an ability to connect the dots – to bring together seemingly unconnected examples or thoughts and hopefully join them together to create a unique perspective. For me, AI is a workhorse that can go out and gather the information in a utilitarian manner, but somewhere in the mix, a human is required to add the spark of intuition or inspiration. For now, anyway.

Meet Agentic AI

With my recent AI debacle still fresh in my mind, I happened across a blog post from Bill Gates. It seems I thought I was talking to an AI “Agent” when, in fact, I was chatting with a “Bot.” It’s agentic AI that will probably deliver the usefulness I’ve been looking for for the last decade and a half.

As it turns out, Gates was at least a decade and a half ahead of me in that search. He first talked about intelligent agents in his 1995 book The Road Ahead. But it’s only now that they’ve become possible, thanks to advances in AI. In his post, Gate’s describes the difference between Bots and Agents: “Agents are smarter. They’re proactive—capable of making suggestions before you ask for them. They accomplish tasks across applications. They improve over time because they remember your activities and recognize intent and patterns in your behavior. Based on this information, they offer to provide what they think you need, although you will always make the final decisions.”

This is exactly the “app-ssistant” I first described in 2010 and have returned to a few times since, even down to using the same example Bill Gates did – planning a trip. This is what I was expecting when I took the web-design co-pilot for a test flight. I was hoping that – even if it couldn’t take me all the way from A to Z – it could at least get me to M. As it turned out, it couldn’t even get past A. I ended up exactly where I started.

But the day will come. And, when it does, I have to wonder if there will still be room on the flight for we human passengers?

Just Behave Archive: Q&A With Marissa Mayer, Google VP, Search Products & User Experience

This blog is the most complete collection of my various posts across the web – with one exception. For 4 years, from 2007 to 2011, I wrote a column for Search Engine Land called “Just Behave” (Danny Sullivan’s choice of title, not mine – but it grew on me). At the time, I didn’t cross-post because Danny wanted the posts to be exclusive. Now, with almost 2 decades past, I think it’s safe to bring these lost posts back home to the nest, here at “Out of My Gord”. You might find them interesting from a historical perspective, and also because it gave me the chance to interview some of the brightest minds in search at that time. So, here’s my first, with Google’s then VP of Search Products and User Experience – Marissa Mayer. It ran in January, 2007 :

Marissa Mayer has been the driving force behind Google’s Spartan look and feel from the very earliest days. In this wide-ranging interview, I talked with Marissa about everything from interface design to user behavior to the biggest challenge still to be solved with search as we currently know it.

I had asked for the interview because of some notable findings in our most recent eye tracking study. I won’t go into the findings in any great depth here, because Chris Sherman will be doing a deep dive soon. But for the purpose of setting the background for Marissa’s interview, here are some very quick highlights:


MSN and Yahoo Users had a better User Experience on Google

In the original study, the vast majority of participants were Google users, and their interactions were restricted to Google. With the second study, we actually recruited participants that indicated their engine of preference was Yahoo! or MSN (now Live Search), as the majority of their interactions would be with those two engines. We did take one task at random, however, and asked them to use Google to complete the task. By almost every metric we looked at, including time to complete the task (choose a link), the success of the link chosen, the percentage of the page scanned before choosing a link and others, these users had a more successful experience on Google than on their engine of choice.

Google Seemed to Have a Higher Degree of Perceived Relevancy

In looking at the results, we didn’t believe that it was the actual quality of the results that lead to a more successful user experience as much as it was how those results were presented to the user. Something about Google’s presentation made it easier to determine which results were relevant. We referred to it in the study as information scent, using the term common in the information foraging theory.

Google Has an Almost Obsessive Dedication to Relevancy at the Top of the Results Page

The top of the results, especially the top left corner, is the most heavily scanned part of the results page. Google seemed to be the most dedicated of all the three engines in ensuring the results that fall in this real estate are highly relevant to the query. For example, Google served up top sponsored ads in far fewer sessions in the study than did either Yahoo or MSN.

Google Offers the “Cleanest” Search Experience

Google is famous for its Spartan home page. It continues this minimalist approach to search with the cleanest results page. When searching, we all have a concept in mind and that concept can be influenced by what else we see on the page. Because a number of searches on Yahoo! and MSN were launched from their portal page, we wondered how that impacted the search experience.

Google Had Less Engagement than Yahoo with their Vertical Results

The one area where Google appeared to fall behind in these head to head tests was with the relevance of the OneBox, or their vertical results. Yahoo! in particular seemed to score more consistently with users with their vertical offerings, Yahoo! Shortcuts.

It was in these areas in particular that I wanted to get the thinking of Marissa and her team at Google. Whatever they’re doing, it seems to be working. In fact, I have said in the past that Google has set the de facto standard for what we expect from a search engine, at least for now.

Here’s the interview:

Gord: What, at the highest level, is Google’s goal for the user?

Marissa: Our goal is to make sure that people can find what they’re looking for and get off the page as quickly as possible

If we look at this idea of perceived versus real relevancy, some things seemed to make a big difference in how relevant people perceived the results to be on a search engine: things like how much white space there was around individual listings, separating organic results from the right rail, the query actually being bolded in the title and the description and very subtle nuances like a hair line around the sponsored ads as opposed to a screened box. What we found when we delved into it was there seemed to be a tremendous attention to that detail on Google. It became clear that this stuff had been fairly extensively tested out.

I think all of your observations are correct. I can walk you through any one of the single examples you just named and I can talk you through the background and exactly what our philosophy was when we designed it and the numbers we saw in our tests as we had tested them, but you’re right in that it’s not an accident. For example, putting a line along the side of the ad as opposed to boxing it allows it to integrate more into the page and lets it fall more into what people read.

One thing that I think about a lot are people that are new to the internet. A lot of times they subconsciously map the internet to physical idioms. For example, when you look at how you parse a webpage, chances are that there are some differences if there are links in the structure and so forth, but a lot of times it looks just like a page in a book or a page on a magazine, and when you put a box around something, it looks like a sidebar. The way people handle reading a page that has a sidebar on it is that they read the whole main page and then, at the end, if it’s not too interesting, they stop and read the sidebar on that page.

For us, given that we think our ads in some cases are as good an answer as our search results and we want them to be integral to the user experience, we don’t want that kind of segmentation and pausing. We tried not to design it so it looked like a side bar, even though we have two distinct columns. You know, There are a lot of philosophies like that that go into the results page and of course, testing both of those formats to see if that matches our hypothesis.

That brings up something else that was really interesting. If we separate the top sponsored from the right rail, the majority of the interaction happens on the page in that upper left real estate. One thing that became very apparent was that Google seemed to be the most aware of relevancy at that top of page, that Golden Triangle real estate. In all our scenarios, you showed top sponsored the least number of times and generally you showed fewer top sponsored results. We saw a natural tendency to break off the top 3 or 4 listings on a page and scan them as a set and then make your choice from those top 3 or 4. In Google, those top 3 or 4 almost always include 1 or 2 organic results, sometimes all organic results.

That’s absolutely the case. Yes, we’re always looking at how can we do better targeting with ads. But we believe part of the targeting for those ads is “how well do those ads match your query?” And then the other part is how well does this format and that prominence convey to you how relevant it is. That’s baked into the relevance.

Our ad team has worked very very hard. One of the most celebrated teams at Google is our Smart Ads team. In fact, you may have heard of the Google Founder’s Awards, where small teams of people get grants of stock of up to $10,000,000 in worth, split across a small number of individuals. One of the very first teams at Google to receive that award was the Smart Ads team. And they were looking, interestingly enough, at how you target things. But they were also looking at what’s the probability that someone will click on a result. And shouldn’t that probability impact our idea of relevance, and also the way we choose to display it.

So we do tend to be very selective and keep the threshold on what appears on the top of the page very high. We only show things on the top when we’re very very confident that the click through rate on that ad will be very high. And the same thing is true for our OneBox results that occasionally appear above the top (organic) results. Larry and Sergey, when I started doing user interface work, said we’re thinking of making your salary proportional to the number of pixels above the first result, on average. We’ve mandated that we always want to have at least one result above the fold. We don’t let people put too much stuff up there. Think about the amount of vertical space on top of the page as being an absolute premium and design it and program it as if your salary depended on it.

There are a couple of other points that I want to touch on. When we looked at how the screen real estate divided up on the search results page, based on a standard resolution, there seemed to be a mathematical precision to the Google proportions that wasn’t apparent on MSN and on Yahoo. The ratio seemed pretty set. We always seemed to come up with a 33% ratio dedicated to top organic, even on a fully loaded results page, so obviously that’s not by accident. That compared to, on a fully loaded page, less than 14% on Yahoo.

That’s interesting, because we never reviewed on a percentage basis that you’re mentioning. We’ve had a lot of controversy amongst the team, should it be in linear inches along the left hand margin, should it actually be square pixelage computed on a percentage basis? Because of the way that the search is laid out linear inches or vertical space may be more accurate. As I said, the metric that I try to hold the team to is always getting at least one organic result above the fold on 800 by 600, with the browser held at that size.

The standard resolution we set for the study was 1024 by 768.

Yes, we are still seeing as many as 30% plus of our users at 800 by 600. My view is, we can view 1024 by 768 as ideal. The design has to look good on that resolution. It has to at least work and appear professional on 800 by 600. So all of us with our laptops, we’re working with 1024 by 768 as our resolution, so we try to make sure the designs look really good on that. It’s obvious that some of our engineers have bigger monitors and bigger resolutions than that, but we always are very conscious of 800 by 600. It’s pretty funny, most of our designers, myself included, have a piece of wall paper that actually has rectangles in the back where if you line up the browser in the upper left hand corner and then align the edge of the browser with the box you can simulate all different sizes so we can make sure it works in the smaller browsers.

One of the members of our staff has a background in physics and design and he was the one that noticed that if you take the Golden Ratio it lined up very well with how the Google results page is designed. The proportions of the page lined up pretty closely with how that Ratio is proportioned.

I’m a huge fan of the Golden Ratio. We talk about it a lot in our design reviews, both implicitly and explicitly, even when it comes down to icons. We prefer that icons not be square, we prefer that they be more of the 1.7:1.

I wanted to talk about Google OneBox for a minute. Of all the elements on the Google page, frankly, that was the one that didn’t seem to work that well. It almost seemed to be in flux somewhat while we were doing the data collection. Relevancy seemed to be a little off on a number of the searches. Is that something that is being tested.

Can you give me an example?

The search was for digital cameras and we got news results back in OneBox. Nikon had a recall on a bunch of digital cameras at the time and we went, as far as disambiguating the user intent from the query, it would seem that news results for the query digital cameras is probably not the best match.

It’s true. The answer is that we do a fairly good job, I believe, in targeting our OneBox results. We hold them to a very high click through rate expectation and if they don’t meet that click through rate, the OneBox gets turned off on that particular query. We have an automated system that looks at click through rates per OneBox presentation per query. So it might be that news is performing really well on Bush today but it’s not performing very well on another term, it ultimately gets turned off due to lack of click through rates. We are authorizing it in a way that’s scalable and does a pretty good job enforcing relevance. We do have a few niggles in the system where we have an ongoing debate and one of them is around news versus product search

One school of thought is what you’re saying, which is that it should be the case that if I’m typing digital cameras, I’m much more likely to want to have product results returned. But here’s another example. We are very sensitive to the fact that if you type in children’s flannel pajamas and there’s a recall due to lack of flame retardation on flannel pajamas, as a parent you’re going to want to know that. And so it’s a very hard decision to make.

You might say, well, the difference there is that it’s a specific model. Is it a Nikon D970 or is it digital cameras, which is just a category? So it’s very hard on the query end to disambiguate. You might say if there’s a model number then it’s very specific and if only the model number matches in the news return the news and if not, return the products. But it’s more nuanced than that. With things like Gap flannel pajamas for children, it’s very hard to programmatically tell if that’s a category or a specific product. So we have a couple of sticking points.

So that would be one of the reasons why, for a lot of searches, we weren’t seeing product results coming back, and in a lot of local cases, we weren’t seeing local results coming back?. That would be that click through monitoring mechanism where it didn’t meet the threshold and it got turned off?

That’s right.

Here’s another area we explored in the study. Obviously a lot of searches from Yahoo or MSN Live Search get launched from a portal and the user experience if you launch from the Google home page is different. What does it mean as far as interaction with search results when you’re launching the search from what’s basically a neutral palette versus something that’s launched from a portal that colors the intent of the user as it passes them through to the search results?

We want the user to not be distracted, to just type in what they want and not be very influenced by what they see on the page, which is one reason why the minimalist home page works well. It’s approachable, it’s simple, it’s straightforward and it gives the user a sense of empowerment. This engine is going to do what they want it to do, as opposed to the engine telling them what they should be doing, which is what a portal does. We think that to really aid and facilitate research and learning, the clean slate is best.

I think there’s a couple of interesting problems in the portal versus simple home page piece. You might say it’s easier to disambiguate from a portal what a person might be intending. They look at the home page and there’s a big ad running for Castaway and if they search Castaway, they mean the movie that they just saw the ad for. That might be the case but the other thing that I think is more confusing than anything is the fact that most people who launch the search from the portal home page are actually ignoring and tuning out most of the content on a page. If anything you’re more inclined to mistake intent, to think, “Oh, of course when they typed this they meant that,” but they actually didn’t, because they didn’t even see this other thing. One thing that we’re consistently noticing, which your Golden Triangle finding validated, is that users have a laser focus on their task.

The Google home page is very simple and when we put a link underneath the Google search box on the home page to advertise one of our products, we say, “Hey, try Google video, it’s new, or download the new Picassa.” Basically it’s the only other thing on the page, and while it does get a fair amount of click through, it’s nothing compared to the search, because most users don’t even see it. Most users on our search results page don’t see the logo on the top of the page, they don’t see OneBox, they don’t even see spelling corrections, even though it’s there in bright red letters. There’s a single-mindedness of I’m going to put in my search, not let anything on the home page get in the way, and I’m going to go for the first blue left aligned link on the results page and everything above it basically gets ignored. And we’ve seen that trend again and again. My guess is that if anything, that same thing is happening at the portals but because there is so much context around it on the home page, their user experience and search relevance teams may be led astray, thinking that that context has more relevance than it has.

One thing eye tracking allowed us to pull this apart a little bit is that when we gave people two different scenarios, one aimed more towards getting them to look at the organic results and one that would have them more likely to look at sponsored results, and then look down to organic results, we saw the physical interaction with the page didn’t vary as much as we thought, but the cognitive interaction with the page, when it came to what they remembered seeing and what they clicked on, was dramatically different. So it’s almost like they took the same path through, but the engagement factor flicked on at different points.

My guess is that people who come to the portal are much more likely to look at ads. I like to think of them as users with ADHD. They’re on the home page and they enjoy a home page that pulls their attention in a lot of different directions. They’re willing to process a lot of information on the way to typing in their search, and as a result, that same mind that likes that, it may not even be a per user thing, it may be an of-the-moment thing, but a person that’s in the mindset of enjoying that, on the home page, is also going to be much more likely to look around on the search results page. Their attention is going to be much more likely to be pulled in the direction of an ad, even if it’s not particularly relevant, banner, brand, things like that.

I want to wrap up by asking you, what in your mind is the biggest challenge still to be solved with the search interface as we currently know it?

I think there’s a ton of challenges, because in my view, search is in its infancy, and we’re just getting started. I think the most pressing, immediate need as far as the search interface is to break paradigm of the expectation of “You give us a keyword, and we give you 10 URL’s”. I think we need to get into richer, more diverse ways you’re able to express their query, be it though natural language, or voice, or even contextually. I’m always intrigued by what the Google desktop sidebar is doing, by looking at your context, or what Gmail does, where by looking at your context, it actually produces relevant webpages, ads and things like that. So essentially, a context based search.

So, challenge one is how the searches get expressed, I think we really need to branch out there, but I also think we need to look at results pages that aren’t just 10 standard URLS that are laid out in a very linear format. Sometimes the best answer is a video, sometimes the best answer will be a photo, and sometime the best answer will be a set of extracted facts. If I type in general demographic statistics about China, it’d be great if I got “A” as a result. A set of facts that had been parsed off of and even aggregated and cross validated across a result set.

And sometimes the best result would be an ad. Out of interest, when we tracked through to the end of the scenario to see which links provided the greatest degree of success, the top sponsored results actually delivered the highest success rates across all the links that were clicked on in the study.

Really? Even more so than the natural search results?

Yes. Even the organic search results. Now mind you, the scenarios given were commercial in nature.

Right… that makes much more sense. I do think that for the 40 or so percent of page views that we serve ads on that those ads are incredibly relevant and usually do beat the search results, but for the other 60% of the time the search results are really the only reasonable answer.

Thanks, Marissa.

In my next column, I talk with Larry Cornett, Senior Director of Search & Social Media in Yahoo’s User Experience & Design group about their user experience. Look for it next Friday, February 2.

Bread and Circuses: A Return to the Roman Empire?

Reality sucks. Seriously. I don’t know about you, but increasingly, I’m avoiding the news because I’m having a lot of trouble processing what’s happening in the world. So when I look to escape, I often turn to entertainment. And I don’t have to turn very far. Never has entertainment been more accessible to us. We carry entertainment in our pocket. A 24-hour smorgasbord of entertainment media is never more than a click away. That should give us pause, because there is a very blurred line between simply seeking entertainment to unwind and becoming addicted to it.

Some years ago I did an extensive series of posts on the Psychology of Entertainment. Recently, a podcast producer from Seattle ran across the series when he was producing a podcast on the same topic and reached out to me for an interview. We talked at length about the ubiquitous nature of entertainment and the role it plays in our society. In the interview, I said, “Entertainment is now the window we see ourselves through. It’s how we define ourselves.”

That got me to thinking. If we define ourselves through entertainment, what does that do to our view of the world? In my own research for this column, I ran across another post on how we can become addicted to entertainment. And we do so because reality stresses us out, “Addictive behavior, especially when not to a substance, is usually triggered by emotional stress. We get lonely, angry, frustrated, weary. We feel ‘weighed down’, helpless, and weak.”

Check. That’s me. All I want to do is escape reality. The post goes on to say, “Escapism only becomes a problem when we begin to replace reality with whatever we’re escaping to.”

I believe we’re at that point. We are cutting ties to reality and replacing them with a manufactured reality coming from the entertainment industry. In 1985 – forty years ago – author and educator Neil Postman warned us in his book Amusing Ourselves to Death that we were heading in this direction. The calendar had just ticked past the year 1984 and the world collectively sighed in relief that George Orwell’s eponymous vision from his novel hadn’t materialized. Postman warned that it wasn’t Orwell’s future we should be worried about. It was Aldous Huxley’s forecast in Brave New World that seemed to be materializing:

“As Huxley remarked in Brave New World Revisited, the civil libertarians and rationalists who are ever on the alert to oppose tyranny “failed to take into account man’s almost infinite appetite for distractions…  Orwell feared that what we fear will ruin us. Huxley feared that what we desire will ruin us.”

Postman was worried then – 40 years ago – that the news was more entertainment than information. Today, we long for even the kind of journalism that Postman was already warning us about. He would be aghast to see what passes for news now. 

While things unknown to Postman (social media, fake news, even the internet) are throwing a new wrinkle in our downslide into an entertainment induced coma, it’s not exactly new.   This has happened at least once before in history, but you have to go back almost 2000 years to find an example. Near the end of the Western Roman Empire, as it was slipping into decline, the Roman poet Juvenal used a phrase that summed it up – panem et circenses – “bread and circuses”:

“Already long ago, from when we sold our vote to no man, the People have abdicated our duties; for the People who once upon a time handed out military command, high civil office, legions — everything, now restrains itself and anxiously hopes for just two things: bread and circuses.”

Juvenal was referring to the strategy of the Roman emperors to provide free wheat and circus games and other entertainment games to gain political power. In an academic article from 2000, historian Paul Erdkamp said the ploy was a “”briberous and corrupting attempt of the Roman emperors to cover up the fact that they were selfish and incompetent tyrants.”

Perhaps history is repeating itself.

One thing we touched on in the podcast was a noticeable change in the entertainment industry itself. Scarlett Johansenn noticed the 2025 Academy Awards ceremony was a much more muted affair than in years past. There was hardly any political messaging or sermons about how entertainment provided a beacon of hope and justice. In an interview with Vanity Fair  – Johanssen mused that perhaps it’s because almost all the major studies are now owned by Big-Tech Billionaires, “These are people that are funding studios. It’s all these big tech guys that are funding our industry, and funding the Oscars, and so there you go. I guess we’re being muzzled in all these different ways, because the truth is that these big tech companies are completely enmeshed in all aspects of our lives.”

If we have willingly swapped entertainment for reality, and that entertainment is being produced by corporations who profit from addicting as many eyeballs as possible, prospects for the future do not look good.

We should be taking a lesson from what happened to Imperial Rome.

The Question We Need to Ask about AI

This past weekend I listened to a radio call-in show about AI. The question posed was this – are those using AI regularly achievers or cheaters? A good percentage of the conversation was focused on AI in education, especially those in post-secondary studies. Educators worried about being able to detect the use of AI to help complete coursework, such as the writing of papers. Many callers – all of which would probably be well north of 50 years old – bemoaned that fact that students today are not understanding the fundamental concepts they’re being presented because they’re using AI to complete assignments. A computer science teacher explained why he teaches obsolete coding to his students – it helps them to understand why they’re writing code at all. What is it they want to code to do? He can tell when his students are using AI because they submit examples of coding that are well beyond their abilities.

That, in a nutshell, sums up the problem with our current thinking about AI. Why are we worried about trying to detect the use of ChatGPT by a student who’s learning how to write computer code? Shouldn’t we be instead asking why we need humans to learn coding at all, when AI is better at it? Maybe it’s a toss-up right now, but it’s guaranteed not to stay that way for long. This isn’t about students using AI to “cheat.” This is about AI making humans obsolete.

As I was writing this, I happened across an essay by computer scientist Louis Rosenberg. He is worried that those in his circle, like the callers to the show I was listening too, “have never really considered what life will be like the day after an artificial general intelligence (AGI) is widely available that exceeds our own cognitive abilities.” Like I said, what we use AI for now it a poor indicator for what AI will be doing in the future.  To use an analogy I have used before, it’s like using a rocket to power your lawnmower.

But what will life be like when, in a somewhat chilling example put forward by Rosenberg, “I am standing alone in an elevator — just me and my phone — and the smartest one speeding between floors is the phone?”

It’s hard to wrap you mind around the possibilities. One of the callers to the show was a middle-aged man who was visually impaired. He talked about the difference it made to him when he got a pair of Meta Glasses last Christmas. Suddenly, his world opened up. He could make sure the pants and shirt he picked out to wear today were colors that matched. He could see if his recycling had been picked up before he made the long walk down the driveway to pick up the bin. He could cook for himself because the glasses could tell him what were in the boxes he took off his kitchen shelf. For him, AI gave him back his independence.

I personally believe we’re on the cusp of multiple AI revolutions. Healthcare will take a great leap forward when we lessen our requirements for expert advice coming from a human. In Canada, general practitioners are in desperately short supply. When you combine AI with the leaps being made by incorporating biomonitoring into wearable technology, I can’t imagine how great things would not be possible in terms of living longer, healthier lives. I hope the same is true for dealing with climate change, agricultural production and other existential problems we’re currently wrestling with.

But let’s back up to Rosenberg’s original question – what will life be like the day after AI exceeds our own abilities? The answer to that, I think, is dependent on who is in control of AI on the day before. The danger here is more than just humans becoming irrelevant. The danger is what humans are determining the future of direction of AI before AI takes over the steering wheel and determines its own future.

For the past 7 decades, the most pertinent question about our continued existence as a species has been this one, “Who is in charge of our combined nuclear arsenals?” But going forward, a more relevant question might be “who is setting the direction for AI?” Who is it that’s setting the rules, coming up with safeguards and determining what data the models are training on?  Who determines what tasks AI takes on? Here’s just one example. When does AI decide when the nuclear warheads are launched.

As I said, it’s hard to predict where AI will go. But I do know this. The general direction is already being determined. And we should all be asking, “By whom?”

Do We Have the Emotional Bandwidth to Stay Curious?

Curiosity is good for the brain. It’s like exercise for our minds. It stretches the prefrontal cortex and whips the higher parts of our brains into gear. Curiosity also nudges our memory making muscles into action and builds our brain’s capacity to handle uncertain situations.

But it’s hard work – mentally speaking. It takes effort to be curious, especially in situations where curiosity could figuratively “kill the cat.” The more dangerous our environment, the less curious we become.

A while back I talked about why the world no longer seems to make sense. Part of this is tied to our appetite for curiosity. Actively trying to make sense of the world puts us “out there”, leaving the safe space of our established beliefs behind. It is literally the definition of an “open mind” – a mind that has left itself open to being changed. And that’s a very uncomfortable place to be when things seem to be falling down around our ears.

Some of us are naturally more curious than others. Curious people typically achieve higher levels of education (learning and curiosity are two sides of the same coin). They are less likely to accept things at face value. They apply critical thinking to situations as a matter of course. Their brains are wired to be rewarded with a bigger dopamine hit when they learn something new.

Others rely more on what they believe to be true. They actively filter out information that may challenge those beliefs. They double down on what is known and defend themselves from the unknown. For them, curiosity is not an invitation, it’s a threat.

Part of this is a differing tolerance for something which neuroscientists call “prediction error” – the difference between what we think will happen and what actually does happen. Non-curious people perceive predictive gaps as threats and respond accordingly, looking for something or someone to blame. They believe that it can’t be a mistaken belief that is to blame, it must be something else that caused the error. Curious people look at prediction errors as continually running scientific experiments, given them a chance to discover the errors in their current mental models and update them based on new information.

Our appetite for curiosity has a huge impact on where we turn to be informed. The incurious will turn to information sources that won’t challenge their beliefs. These are people who get their news from either end of the political bias spectrum, either consistently liberal or consistently conservative. Given that, they can’t really be called information sources so much as opinion platforms. Curious people are more willing to be introduced to non-conforming information. In terms of media bias, you’ll find them consuming news from the middle of the pack.

Given the current state of the world, more curiosity is needed but is becoming harder to find. When humans (or any animal, really) are threatened, we become less curious. This is a feature, not a bug. A curious brain takes a lot longer to make a decision than a non-curious one. It is the difference between thinking “fast” and “slow” – in the words of psychologist and Nobel laureate Daniel Kahneman. But this feature evolved when threats to humans were usually immediate and potentially fatal. A slow brain is not of any benefit if you’re at risk of being torn apart by a pack of jackals. But today, our jackal encounters are usually of the metaphorical type, not the literal one. And that’s a threat of a very different kind.

Whatever the threat, our brain throttles back our appetite for curiosity. Even the habitually curious develop defense mechanisms in an environment of consistently bad news. We seek solace in the trivial and avoid the consequential. We start saving cognitive bandwidth from whatever impending doom we may be facing. We seek media that affirms our beliefs rather than challenges them.

This is unfortunate, because the threats we face today could use a little more curiosity.

The Quaint Concept of Borders

According to a recent Leger poll, one in five Americans would like their state to secede and join Canada. In contrast, according to the same poll, only one in 10 Canadians would like to see Canada become the 51st State.

Of course, no one takes either suggestion very seriously, except perhaps the President of the United States. And, given the current state of things, that job title is a little ridiculous. Those States are probably less united than they have been at any time since the American Civil War.

All this talk about borders does make a good Facebook meme though. You might have seen it – under the title “Problem Solved” there’s a map of North American with the Canadian border redrawn to extend down the east and west coast to include Washington, Oregon, California, New York, New Jersey and The New England States. Minnesota also gets to become part of the Great White North.

But – even if we took the suggestion seriously – does redrawing borders really solve any problem? Let’s assume that Canada really did become part of the US. It would be a “big, beautiful state,” according to Donald Trump. There have been a few that have pointed out that that state, with our 40 million potential voters, would probably vote overwhelmingly against Trump. Again, according to Canadian pollster Leger, only about 12% of Canadians support Trump.

While we’re redrawing the map of the world, even oceans can’t get in the way. Here in Canada, we are rushing to realign with Europe and its markets. The idea has even been floated that Canada should join the European Union.  Our new prime minister, Mark Carney, has said we have more in common with Europe and the values found there than we do with our American neighbors to the south.

But again, we use the faulty logic of Canadians, Americans or Europeans being identified as a cohesive bloc defined by a border. The recent rush of patriotism aside, Canadians rarely speak with one voice. For example, support for Trump runs highest in Alberta, where 23% of the province’s voters support him. He’s least popular in Canada’s Atlantic provinces, where support dips to 8%

Or let’s hop across the border to the state closest to me – Washington. If you take the state in aggregate, it is a blue state by almost 20 points. But again, that designation depends on an aggregation of votes within a territory defined by a fairly arbitrary border. If you look at Washington on a county-by-county basis, it’s hardly a cohesive voting bloc. Yes, the urban centers of Seattle and Olympia went heavily for Kamala Harris (74% in King County) but eastern Washington is a very different story. There in many counties, for every voter that chose Harris, 3 chose Trump. Ideologically, a resident of Pend Orielle County, Washington has much more in common with someone from Bonner County, which lies just across the border in Idaho, than they do with someone from Jefferson County, which lies on the west coast of Washington.

My point is this: given the polarization of our society, it’s almost impossible to draw a line anywhere on a map and think that it defines the people within that line in any identifiable way. Right now, nowhere on earth defines this more starkly than the United States. Because of the borders of the U.S. and the political structures that determine who leads the people within those borders, almost 2/3rds of Americans lives are being determined by a man they didn’t vote for. In fact, a big percentage of those 2/3rds are vehemently opposed to their President and his policies. How does that make any sense?

Borders were necessary where our survival was tied to a specific location and the resources to be found within that location. This forced a commonality on those that lived within those boundaries. They ate the same food, drank the same water, tilled the same fields, worked at the same factory, shopped at the same stores, attended the same church and their children went to the same schools.

But our digital world has lost much of that commonality. Online, we are defined by how we think, not where we live. This creates a new definition of “tribe” and, by extension, tribal territories. The divides between us now are based on differences in beliefs, not geographical obstacles. And the gap between our beliefs is getting wider and wider. This leaves the concept of a border threatened as something that is becoming increasingly anachronistic. Borders define something that is becoming less and less real and more and more problematic as the people who live in a state or country find less and less in common with their fellow citizens.  As Scottish journalist James Crawford says in his book, The Edge of the Plain: How Borders Make and Break Our World, the tension is usually felt more acutely on those arbitrary borders: “Wherever there are borders … that’s where you are going to find the most concentrated injustice.”

This redefining of our world as it decouples from the concept of “place” will place more and more pressure on the old idea of a border defining a place and a common ideology.  When there is less cohesivity between those living within the border than there is between ideologically aligned factions spread across the globe, we must wonder how to manage this given our current political structures based on the foundation of a common territory. This is particularly true for democracies, where you get a whipsaw backlash between the right and left as the two factions grow further and further apart. That prognosis is not a good one. As Steven Levitsky and Daniel Ziblatt said in their book How Democracies Die, “Democracies rarely survive extreme partisanship.”

Will There Be a Big-Tech Reckoning?

Jeff Bezos, Mark Zuckerberg and Tim Cook must be thanking their lucky stars that Elon Musk is who he is. Musk is taking the brunt of any Anti-Trump backlash and seems to be relishing in it. Heaven only knows what is motivating Musk, but he is casting a smoke screen so wide and dense it’s obliterating the ass-kissing being done by the rest of the high-tech oligarchs.  In addition to Bezos, Zuckerberg and Cook, Microsoft’s Satya Nadella, Google’s Sundar Pichai and many other high-tech leaders have been making goo-goo eyes at Donald Trump.

Let’s start with Jeff Bezos. One assumes he is pandering to the president because his companies have government contracts worth billions. That pandering has included a pilgrimage to Trump’s Mar-a-Lago, a one million donation to his inauguration fund (which was streamed live on Amazon Prime), and green-lighting a documentary on Melania Trump. The Bezos-owned Washington Post declined from endorsing Kamala Harris as a presidential candidate, prompting some of its editorial staff to resign. At Amazon, the company has backed off some of its climate pledge commitments and started stripping Diversity, Equity and Inclusion programs from their HR handbook.

Mark Zuckerberg joined Trump supporting podcaster Joe Rogan for almost three hours to explain how they were realigning Facebook to be more Trump-friendly. This included canning their fact checkers and stopping policing of misinformation. During the interview, Zuckerberg took opportunities to slam media and the outgoing Biden administration for daring to question Facebook about misleading posts about Covid-19 vaccines. Zuckerberg, like Bezos, also donated $1 million to Trump’s inaugural fund and has rolled back DEI initiatives at Meta.

Tim Cook’s political back-bend had been a little more complicated. On the face of it, Apple’s announcement that it would be investing more than $500 billion in the U.S. and creating thousands of new jobs certainly sounds like a massive kiss to the Trumpian posterior but if you dig through the details, it’s really just putting a new spin on commitments Apple already made to support their development of Apple’s AI. And in many cases, the capital investment isn’t even coming from Apple. For instance, that new A.I. server manufacturing plant in Houston that was part of the announcement? That plant is actually being built by Apple partner Foxconn, not Apple.

As far as the rest of the Big Tech cabal, including Microsoft, Google and OpenAI, their new alignment with Trump is not surprising. Trump is promising to make the U.S. the undisputed leader in A.I. One would also imagine he would be more inclined than the Democrats to look the other way when it comes to things like anti-trust investigations and enforcement. So Big-Tech’s deferment to Trump is both entirely predictable and completely self-serving. I’m also guessing that all of them think they’re smarter than Trump and his administration, providing them a strategic opportunity to play Trump like a fiddle while pursuing their long-term corporate goals free from any governmental oversight or resistance. All evidence to date shows that they’re probably not mistaken in that assumption.

But all this comes at what cost? This could play out one of two ways. First, what happens if these High-Tech Frat Rat’s bets are wrong? There is an anti-Trump, anti-MAGA revolt building. Who knows what will happen, but in politically unprecedented times like this one has to consider every scenario, no matter how outrageous they may seem. One scenario is a significant percentage of Republicans decide their political future (and, hopefully, the future of the US as a democracy also factors into their thinking) is better off without a Donald Trump in it and start the wheels turning to remove him from power. If this is the case, things are going to get really, really nasty. There is going to be recrimination and finger pointing everywhere. And some of those fingers are going to be pointed at the big tech leaders who scrapped the ground bowing to Trump’s bluster and bullying.

Will that translate into a backlash against high-tech? I really am not sure. To date, these companies have been remarkably adept at sluffing off blame. IF MAGA ends up going down in flames, will Big Tech even get singed as they warm their hands at Donald Trump’s own bonfire of his vanities? Will we care about Big Tech’s obsequiousness when it comes time to order something from Amazon or get a new iPhone?

Probably not.  

But the other scenario is even more frightening: Trump stays in power and Big Tech is free to do whatever they hell they want. Based on what you know about Elon Musk, Mark Zuckerberg, Jeff Bezos and the rest, are you willing to let them be the sole architects of your future? Their about-face on Trump has shown that they will always, always, always place profitability above their personal ethics.

I’m not a Doctor, But I Play One on Social Media

Step 1. You have a cough
Step 2. You Google It
Step 3. You spend 3 hours learning about a rare condition you have never heard of before today but are now convinced you have.

We all joke about Doctor Google. The health anxiety business is booming, thanks to online diagnostic tools that convince us that we have a rare disease that affects about .002% of the population.

It you end up on WebMD, at least they suggest talking to a doctor. But there’s another source of medical information that offers no such caveats – social media influencers.

As healthcare becomes an increasingly for-profit business there are a new band of influencers who are promoting dubious tests and procedures because there is a financial incentive to do so.  They are also offering their decidedly non-expert opinion on important health practices such as vaccination. Unfortunately, people are listening.

During Covid, we saw how social media fostered antipathy towards vaccinations and public health measures such as wearing face masks. These posts ran counter to the best advice coming from trusted health authorities and created a distrust in science. But that misinformation campaign didn’t stop when the worst of Covid was over. It continues to influence many of us today.

Take the recent measles outbreak in Texas. As of the writing of this, the outbreak has grown to over 250 cases and 2 deaths. Measles cases across the US have already surpassed the number of cases for all of 2024. Vaccination rates for children in the US seem stuck at the 90% range and have been for a while. This is below the 95% vaccination rate required to stop the spread of measles.

One of the reasons is a group of social media influencers who have targeted women and spread the false impression that they’re being “bad moms” if they allow their children to be vaccinated. According to a study by the University of Washington, these posts often include a link to a unproven “natural” or homeopathic remedy sold through an affiliate program or multi-level marketing campaign.

Measles was something the medical community considered eradicated in North America in 2000. But it has resurfaced thanks to misinformation spread through social media. And that’s tragic. The first child to die in the most recent outbreak was the first measles related fatality in 10 years in America. The child was otherwise healthy. It didn’t have to happen.

It’s not just measles. There is an army of social media influencers all hawking dubious tests, treatments and tinctures for profit. None of them have the slightest clue what they’re talking about. They have no medical training. They do – however – know how to market themselves and how to capitalize on a mistrust of the medical system by spreading misinformation for monetary gain.

A recently published study looked at the impact of social media influences dispensing uneducated medical advice. They warned, “alarming evidence suggests widespread dissemination of health-related content by individuals lacking the requisite expertise, often driven by commercial rather than public health interests.”

Another study looked at 1000 posts by influencers to a combined audience of 194 million followers. The posts were promoting medical tests including full-body MRI scans, genetic screening for early detection of cancer, blood tests for testosterone levels, the anti-Mullerian hormone test and a gut microbiome test. 85 percent of the posts touted benefits without mentioning any risks. They also failed to mention the limited usefulness of these tests. Lead study author Brooke Nickel said, “These tests are controversial, as they all lack evidence of net benefit for healthy people and can lead to harms including overdiagnosis and overuse of the medical system. If information about medical tests on social media sounds too good to be true, it probably is.”

Social media misinformation is at epidemic levels. And – in the case of medical information – it can sometimes be a matter of life and death.

Trump, The Media and the Problem of “Pretty Good.”

A number of years back, I was in China for a conference and during a dinner thrown by the hosts for their international presenters, I was lucky enough to find myself sitting next to James Fallows, who was in China on assignment for the Atlantic. His dispatches back eventually became the book Postcards from Tomorrow Square: Reports from China.

It was my first trip to China and I was stunned by the apparent contradiction of the most entrepreneurial society I had ever seen under the rule of a Communist Regime. I asked James how China’s then leader, Hu Jintao, managed to maintain that seemingly impossible balance without widespread insurrection. He said something I’ll always remember: “As long as the Chinese people believe that their lives today are better than they were yesterday, and that they will be even better tomorrow, they will continue to follow their leader.”

That same very simple equation is what populists, some of whom may eventually become dictators, depend on – promising to make life better for their base. If you were Hitler, or Mussolini, or Francisco Franco, that was easy to do. Each of those countries and their economies were fundamentally broken in the 1920’s or 30’s. You didn’t have to be a genius to make things better for the average German, Italian or Spaniard. Just getting trains to run on time was a pretty big step in the right direction.

But that’s not the U.S.A. Things there are (or were) pretty good. Perfect? Not by a long shot. But pretty good.

You disagree? The plain facts are that at no time in history have people ate more, had more, did more or lived longer than right now. And that is doubly true for the U.S., who has about 5% of the world’s population but consumes about 20 to 25% of the world’s resources. Yes, there’s a lot that can be fixed (for instance, there are huge disparities in wealth and consumption), but things are pretty good. Especially in the U.S. of A.

So where does that leave a populist like Trump? Populists say that they – and they alone – can make life better tomorrow for their base. But when things are pretty good already, that’s a hard promise to keep. The U.S. – and the rest of the world – is a complex place that exists thanks to complex systems. The economy, financial markets, diplomacy, healthcare, immigration, education – all of these things are complex. And because of this complexity, the problems that do exist are what are called “wicked” problems – problems that have no quick or simple solution. In fact, they may have no solution at all.

Someone like Trump has no clue about complexity. He will spout inanely ignorant “fixes” and back them up with talking points that have no basis in reality.

Take Trump’s insanely stupid “tariff” solution he imposed just over a week ago. It wasn’t even 24 hours old when he started pulling it back because the U. S. economy started running off the rails. As I said a month ago, imposing a 25% blanket tariff is like doing open heart surgery with a hand grenade

And this is a big problem for Trump. He has no idea how to keep his promise to make life better for people in a complex environment.  It’s not just tariffs. The flurry of executive orders and the chainsaw massacre that is DOGE are similarly stupid solutions to complex issues. They are doomed to fail, which means the U.S. will inevitably slip backwards, rather than leap forward.

Trump will blunder for mistake to mistake, blowing up all the systems that made things “pretty good” in America. He is bulldozing through the complex international relationships that have enabled the U.S. to perch on top of the world order for 100 years. He is blowing up trade agreements and mutual defense pacts. He is pissing off every other country in the world with the exception of one: Russia.

As the Canadian prime minister Justin Trudeau just said – “Make that Make Sense.”

It would be easy to blame Donald Trump. But I won’t. He’s just being Trump, just like a shark is just being a shark. It would also be easy to blame the Republican sycophants that are letting him do this. But again – sharks will be sharks. They have evolved to swim towards blood. No, to truly assign blame, we have to ask “why” a few times.

Why was Trump put in the position where he could do this? He’s there because 77 million Americans voted for him. And why did they vote for him? Because they believed he could make things better tomorrow than they are today. It’s a pretty simple equation.

Let’s ask why one more time.  Why did they believe that Trump could save them? Ah! Now, we’re getting somewhere. The Media – our media – built this belief. They built it because there is no profit in saying things are “pretty good.”  The Media thrives by creating conflict. And so they built the belief that things were fundamentally broken and needed fixing. They created the illusion that there are simple solutions to complex problems. They allowed ignorance to flourish in an absence of reliable and objective reporting. They gave Trump the air he needed to breath.

The media – especially social media – also planted the false notion that we deserve better than “pretty good.” It has fostered the nonsensical equation that all of us should have the same as the richest of us.  We are entitled to it. And if we don’t get it, somebody is to blame. No one stops to think that the equation is mathematically impossible.

That is what we have to fix.

Curation is Our Future. But Can You Trust It?

 You can get information from anywhere. But the meaning of that information can come from only one place: you. Everything we take in from the vast ecosystem of information that surrounds us goes through the same singular lens – one crafted by a lifetime of collected beliefs and experiences.

Finding meaning has always been an essentially human activity. Meaning motivates us – it is our operating system. And the ability to create shared meaning can create or crumble societies. We are seeing the consequences of shared meaning play out right now in real time.

The importance of influencing meaning creates an interesting confluence between technology and human behavior. For much of the past two decades, technology has been focusing on filtering and organizing information. But we are now in an era where technology will start curating our information for us. And that is a very different animal.

What does it mean to “curate” an answer, rather than simply present it to you? Curation is more than just collecting and organizing things. The act of curation is to put that information in a context that provides additional value by providing a possible meaning. This crosses the line that delineates just disseminating information from attempting to influence individuals by providing them a meaningful context for that information. 

Not surprisingly, the roots of curation lie – in part – with religion. It comes from the Latin “curare” – “to take care of”. In medieval times, curates were priests who cared for souls. And they cared for souls by providing a meaning that lay beyond the realms of our corporal lives. If you really think about religion, it is one massive juxtaposition of a pre-packaged meaning on the world as we perceive it.

In the future, as we access our world through technology platforms, we will rely on technology to mediate meaning. For example, searches on Google now include an “AI Overview” at the top of the search results The Google Page explaining what the Overview is says it shows up when “you want to quickly understand information from a range of sources, including information from across the web and Google’s Knowledge Graph.” That is Google – or rather Google’s AI – curating an answer for you.

It could be argued that this is just another step to make search more useful – something I’ve been asking for a decade and a half now. In 2010, I said that “search providers have to replace relevancy with usefulness. Relevancy is a great measure if we’re judging information, but not so great if we’re measuring usefulness.” If AI could begin to provide actionable answers with a high degree of reliability, it would be a major step forward. There are many that say such curated answers could make search obsolete. But we have to ask ourselves, is this curation something we can trust?

With Google, this will probably start as unintentional curation – giving information meaning through a process of elimination. Given how people scan search listings (something I know a fair bit about) it’s reasonable to assume that many searchers will scan no further than the AI Overview, which is at the top of the results page. In that case, you will be spoon-fed whatever meaning happens to be the product of the AI compilation without bothering to qualify it by scanning any further down the results page. This conveyed meaning may well be unintentional, a distillation of the context from whatever sources provided the information. But given that we are lazy information foragers and will only expend enough effort to get an answer that seems reasonable, we will become trained to accept anything that is presented to us “top of page” at face value.

From there it’s not that big a step to intentional curation – presenting information to support a predetermined meaning. Given that pretty much every tech company folded like a cheap suit the minute Trump assumed office, slashing DEI initiatives and aligning their ethics – or lack of – to that of the White House, is it far-fetched to assume that they could start wrapping the information they provide in a “Trump Approved” context, providing us with messaged meaning that supports specific political beliefs? One would hate to think so but based on Facebook’s recent firing of its fact checkers, I’m not sure it’s wise to trust Big Tech to be the arbitrators of meaning.

They don’t have a great track record.