Category Archives: Online Trends

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.

Face Time in the Real World is Important

For all the advances made in neuroscience, we still don’t fully understand how our brains respond to other people. What we do know is that it’s complex.

Join the Chorus

Recent studies, including this one from Rochester University, are showing that when we see someone we recognize, the brain responds with a chorus of neuronal activity. Neurons from different parts of the brain fire in unison, creating a congruent response that may simultaneously pull from memory, from emotion, from the rational regions of our prefrontal cortex and from other deep-seated areas of our brain. The firing of any one neuron may be relatively subtle, but together this chorus of neurons can create a powerful response to a person. This cognitive choir represents our total comprehension of an individual.

Non-Verbal Communication

“You’ll have your looks, your pretty face. – And don’t underestimate the importance of body language!” – Ursula, The Little Mermaid

Given that we respond to people with different parts of the brain, it makes sense that we use part of the brain we didn’t realize when communicating with someone else. In 1967, psychologist Albert Mehrabian attempted to pin this down with some actual numbers, publishing a paper in which he put forth what became known as Mehrabian’s Rule: 7% of communication is verbal, 38% is tone of voice and 55% is body language.

Like many oft-quoted rules, this one is typically mis-quoted. It’s not that words are not important when we communication something. Words convey the message. But it’s the non-verbal part that determines how we interpret the message – and whether we trust it or not.

Folk wisdom has told us, “Your mouth is telling me one thing, but your eyes are telling me another.” In this case, folk wisdom is right. We evolved to respond to another person with our whole bodies, with our brains playing the part of conductor. Maybe the numbers don’t exactly add up to Mehrabian’s neat and tidy ratio, but the importance of non-verbal communication is undeniable. We intuitively pick up incredibly subtle hints: a slight tremor in the voice, a bead of sweat on the forehead, a slight turn down of one corner of the mouth, perhaps a foot tapping or a finger trembling, a split-second darting of the eye. All this is subconsciously monitored, fed to the brain and orchestrated into a judgment about a person and what they’re trying to tell us. This is how we evolved to judge whether we should build trust or lose it.

Face to Face vs Face to Screen

Now, we get to the question you knew was coming, “What happens when we have to make these decisions about someone else through a screen rather than face to face?”

Given that we don’t fully understand how the brain responds to people yet, it’s hard to say how much of our ability to judge whether we should convey trust or withhold it is impaired by screen-to-screen communication. My guess is that the impairment is significant, probably well over 50%. It’s difficult to test this in a laboratory setting, given that it generally requires some type of neuroimaging, such as an fMRI scanner. In order to present a stimulus for the brain to respond to when the subject is strapped in, a screen is really the only option. But common sense tells me – given the sophisticated and orchestrated nature of our brain’s social responses – that a lot is lost in translation from a real-world encounter to a screen recording.

New Faces vs Old Ones

If we think of how our brains respond to faces, we realize that in today’s world, a lot of our social judgements are increasing made without face-to-face encounters. In a case where we know someone, we will pull forward a snapshot of our entire history with that person. The current communication is just another data point in a rich collection of interpersonal experience. One would think that would substantially increase our odds of making a valid judgement.

But what if we must make a judgement on someone we’ve never met before, and have only seen through a screen; be it a TikTok post, an Instagram Reel, a YouTube video or a Facebook Post? What if we have to decide whether to believe an influencer when making an important life decision? Are we willing to rely on a fraction of our brain’s capacity when deciding whether to place trust in someone we’ve never met?

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.

Paging Dr. Robot

When it comes to the benefits of A.I. one of the most intriguing opportunities is in healthcare. Microsoft’s recent announcement that, given a diagnostic challenge where their Microsoft AI Diagnostic Orchestrator (MAI-DxO) went head to head with 21 general-practice practitioners, the A.I. system correctly diagnosed 85% of 300 challenging cases gathered from the New England Journal of Medicine. The human doctors only managed to get 20% of the diagnoses correct.

This is of particular interest to me, because Canada has a health care problem. In a recent comparison of international health policies conducted by the Commonwealth Fund, Canada came in last amongst 9 countries, most of which also have universal health care, on most key measures of timely access.

This is a big problem, but it’s not an unsolvable one. This does not qualify as a “wicked” problem, which I’ve talked about before. Wicked problems have no clear solution. I believe our healthcare problems can be solved, and A.I. could play a huge role in the solution.

The Canadian Medical Association outlined both the problems facing our healthcare system and some potential solutions. The overarching narrative is one of a system stretched beyond its resources and patients unable to access care in a timely manner. Human resources are burnt out and demotivated. Our back-end health record systems are siloed and inconsistent. An aging population, health misinformation, political beliefs and climate change are creating more demand for health services just as the supply of those services are being depleted.

Here’s one personal example of the gaps in our own health records. I recently had to go to my family doctor for a physical that is required to maintain my commercial driver’s license. I was delegated to a student doctor, given that it was a very routine check-up. Because I was seeing the doctor anyway, I thought it a good time to ask for a regular blood panel test because it had been a while since I had had one. Being a male of a certain age, I also asked for a Prostate-Specific Antigen test (PSA) and was told that it isn’t recommended as a screening test in my province anymore.

I was taken aback. I had been diagnosed with prostate cancer a decade earlier and had been successfully treated for it. It was a PSA test that led to an early diagnosis. I mentioned this to the doctor, who was sitting behind a computer screen with my records in front of him. He looked back at the screen and said, “Oh, you had prostate cancer? I didn’t know that. Sure, I’ll add a PSA to the requisition.”

I wish I could say that’s an isolated incident, but it’s not. These gaps is our medical history records happen all the time here in my part of Canada. And they can all be solved. It’s the aggregation and analysis of data beyond the limits of humans to handle that A.I. excels at. Yet our healthcare system continues to overwork exhausted healthcare providers and keep our personal health data hostage in siloed data centers because of systemic resistance to technology. I know there are concerns, but surely these concerns can be addressed.

I write this from a Canadian perspective, but I know these problems – and others – exist in the U.S. as well.  If A.I. can do certain jobs four times better than a human, it’s time to accept that and build it into our healthcare system. The answer to Canada’s healthcare problems may not be easy, but they are doable: integrate our existing health records, open the door to incorporation of personal biometric data from new wearable devices, use A.I. to analyze all this, and use humans where they can do things A.I. and technology can’t.

We need to start opening our mind to new solutions, because when it comes to a broken healthcare system, it’s literally a matter of life and death.

Our Memories Are Our Compass

“You can’t really know where you’re going until you know where you’ve been”

Maya Angelou

Today is Canada Day – the Canadian version of the Fourth of July. In the past decade or so, it’s been a day fraught with some existential angst, as we try to reconcile our feelings of pride with our often-glaring imperfections as Canadians. In a country known for its readiness to apologize, this is perhaps the most Canadian of Canadian holidays – a day made for wondering if we should be saying “we’re sorry.”

 This year, it will be interesting to see how Canada celebrates. As I’ve mentioned before, what is happening south of the border has caused Canadians to have a renewed burst of patriotism and pride. We may not be united on much, but we universally know we don’t want to be the 51st state. No offence (heaven forbid) but we’re good as is, President Trump. Really.

A few days ago, I happened across a little video posted to celebrate Canada. It was a montage of “Heritage Minutes” –little vignettes of our Canadian past produced since 1990 by Historica Canada. This montage was set to a song by another Canadian icon, “It’s a Good Life if You don’t Weaken” by the Tragically Hip. The 4 minute and 29 second video checked all the boxes guaranteed to generate the warm fuzzies for Canadians: Anne of Green Gables (check), the invention of basketball and the telephone (check), the discovery of Insulin (check), the origins of Superman (check), the naming of Winnie the Pooh (check), our contributions in two World Wars (check and check). It was Canadiana distilled; more than maple syrup – which is more of an Eastern Canadian thing. More than poutine, which most Canadians had never heard of until 20 years ago. Maybe on a par with hockey.

But the montage also reminded me of some not so glorious Canadian moments. We were imperfect, in our abhorrent treatment of immigrants in the past – especially the Chinese and Japanese. And our ignoring – and worse – our attempts to irradicate the incredibly rich and diverse Indigenous history and culture because it was inconvenient to our dreams of nation building.

Canada’s history is distinct from that of the U.S.A. In the last half of 19th Century and the beginning of the 20th Century, when immigration started in earnest, we were very much a British Colony. Anyone who was not British was treated as either a necessary evil (providing the manual labor required to build a new country) or as a persona non grata. As for those that preceded us – the Indigenous population of Canada – the British saw them as an inconvenience and potential threat to either be tamed or systematically eradicated.

This – too – is part of Canada’s history. And we have to acknowledge that, because to do so gives us a compass to navigate both the present and future. That montage reminds us that immigration built this country. And Canada’s thousands of years of Indigenous past needs to be recognized so the entire history of our nation can be honestly reconciled. We need to fix our bearings to they read true before we move forward.

Canadians today need to decide what we aspire to be as a nation in the future. And to do that, we need to remember where we’ve been. Do we ignore the fact that we are a nation of immigrants and are so much the richer for it? Do we conveniently forget that there were people here thousands of years before the first European set foot on Canadian soil? We need to fully understand what made Canada what it is – both good and bad – an imperfect country that still happens to be a pretty great place to live.

In the song that the montage is set to, the Tragically Hip’s Gord Downie sings:

In the forest of whispering speakers
Let’s swear that we will
Get with the times
In a current health to stay

But maybe we can do better than just maintain the status quo. If we remember where we’ve been, maybe we can do better in the future than where we are now.

Happy Canada Day!

The Presidential Post-a-Palooza Problem

As of June 3rd of this year, President Donald Trump had posted 2262 times to Truth Social in the132 days since his inauguration. That’s 17 posts per day – or night.  According to a recent article in the Washington Post, the president’s social media use is far exceeding his posting in his first term: “His posting now overshadows even the most explosive Twitter days of his first presidency: He tweeted 14 times on his biggest-posting day in early 2017, the data show — a tenth of the 138 posts his Truth Social account sent on a single day this March.”

According to the White House, this is a good thing: “President Trump is the most transparent president in history and is meeting the American people where they are to directly communicate his policies, message, and important announcements,” said White House Assistant Press Secretary Taylor Rogers.

Transparent? I suppose – as in Saran Wrap transparency – only a few microns thick and unable to stand on its own. But the biggest problem with Trump’s brand of social media transparency is that it is a pinball type of presidentialism – continually launching projectiles just to see what they bump into.

Here’s how this scenario often plays out. Trump sends out many of his missives in the middle of the night. They are posted to Truth Social, the media platform he owns and which he is contractually obligated to post first on. In terms of comparison, X has almost 600 million users, Truth Social has about 1 percent of that – about 6 million. And that is hardly a diverse sampling. LA Times reporter Lorraine Ali dared to spend 24 hours on Truth Social last year, “so you don’t have to.” She found Truth Social to be like “a MAGA town hall in a ventless conference room, where an endless line of folks step up to the mic to share how the world is out to get them.”

Ali went on, “The Truth Social feed I experienced was a mix of swaggering gun talk, typo-filled Bible scripture, violent Biden bashing, nonsensical conspiracy theories and more misguided memes about Jan. 6 “hostages,” trans satanists and murderous migrants than anyone should be subjected to in one day. Or ever.”

This is the audience that is the first stop for Trump’s midnight social media musings. Truth Social is not the place for thoughtful policy statements or carefully crafted communication. Rather, it is a place that laps up posts like the beaut that Trump launched on Memorial Day, which started with: “Happy Memorial Day to all, including the scum that spent the last four years trying to destroy our country through warped radical left minds, who allowed 21,000,000 million people to illegally enter our country, many of them being criminals and the mentally insane.”

He then shortly followed that up by reposting this: “There is no #JoeBiden – executed in 2020. #Biden clones doubles & robotic engineered soulless mindless entities are what you see. >#Democrats don’t know the difference.”

From Truth Social, his posts rapidly move to more mainstream platforms. The Post article plotted the typical course of a Trump “Truth”:

“ ‘His messaging moves in real time from Truth to X, and it spreads just as far if not farther on X than it did when he was tweeting himself on the platform,’ said Darren Linvill, a professor and co-director of the Media Forensics Hub at Clemson University who studies social media.

What’s more, Truth Social’s almost exclusively congenial audience insulates the president from negative responses. ‘His current social media behavior suggests that with time he has been pulled even farther into his own echo chambers,’ Linvill said. ‘Truth Social gives him complete and constant positive feedback.’”

By the time dawn breaks over the White House, these missives have been echoing through the echo chambers of social media for at least a couple hours. Trump has received endorsement from the Truth Social crowd and the posts are out in the world, demanding to be dealt with. This is not even government by fiat. It’s as if you woke from a fever dream at 3 in the morning and decided that the two-headed dragon that was eating your Froot Loops needed to be taken out by an all-out military operation. And you were the President. And you could make it happen. And the Two-Headed Dragon was Iran – or Greenland – or Canada.

It is a quantum leap beyond insane that this is how government policy is currently being determined. Even more unbelievable is the fact that this has now been normalized by the same White House spokesperson Taylor Rogers, who said “President Trump was elected in a historic landslide victory and even won the popular vote — no further validation is needed.”

OMG – yes Taylor, further validation is needed. Desperately! These posts are determining the future of the world and everyone who lives in it. They should be given great thought. Or – at least – more thought than that generated by the mind-altering after-effects of Big Mac eaten at 1:30 in the morning

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?”

The Tesla Cybertruck’s Branding Blow-Up

The inexact science of branding is nowhere more evident that in the case of the Tesla Cybertruck, which looks like it might usurp the Edsel’s title as the biggest automotive flop in history.

First, a little of the Tesla backstory. No, it wasn’t founded by Elon Musk. It was founded in 2003 by Martin Eberhard and Marc Tarpenning. Musk came in a year later as a money man. Soon, he had forced Eberhard and Tarpenning out of the company. But their DNA remained, notably in the design and engineering of the hugely popular Tesla Model S, Model X and Model 3. These designs drove Tesla to capture over 50% of the electric car market and are straight line extensions of the original technology developed by Eberhard, Tarpenning and their initial team

Musk is often lauded as an eccentric genius in the mold of Steve Jobs, who had his fingers in every aspect of Tesla. While he was certainly influential, it’s not in the way most people think. The Model S, Model X and Model 3 soon became plagued by production issues, failed software updates, product quality red flags and continually failing to meet to meet Musk’s wildly optimistic and often delusional predictions, both in terms of sales and promised updates. Those things all happened on Musk’s watch.  Even with all this, Tesla was the darling of investors and media, driving it to be the most valuable car company in the world.

Then came the Cybertruck.

Introduced in 2019, the Cybertruck did have Musk’s fingerprints all over it. The WTF design, the sheer impracticality of a truck in name only, a sticker price nearly double of what Musk originally promised and a host of quality issues including body panels that have a tendency to fall off have caused sales to not even come close to projections.

In its first year of sales (2024), the Cybertruck sold 40,000 units, about 16% of what Musk predicted annual sales could be. That makes it a bigger fail than the Edsel, which sold 63,000 units against a target of 200,000 sales in its introductory year – 1958. The Edsel did worse in 1959 and was yanked from the market in 1960. The Cybertruck is sinking even faster. In the first quarter of this year, only 6406 Cybertrucks were sold, half the number sold in the same quarter a year ago. There are over 10,000 Cybertrucks on Tesla lots in the U.S., waiting for buyers that have yet to show up.

But it’s not just that the Cybertruck is a flawed product. Musk has destroyed Tesla’s brand in a way that can only be marvelled at. His erratic actions have managed to generate feelings of visceral hate in a huge segment of the market and that hate has found a visible target in the Cybertruck. It has become the symbol of Elon Musk’s increasingly evident meltdown.

I remember my first reaction when I heard that Musk had jumped on the MAGA bandwagon. “How the hell,” I thought, “does that square with the Tesla brand?” That brand, pre-Musk-meltdown and pre-Cybertruck, was a car for the environmentally conscious who had a healthy bank account – excitingly leading edge but not dangerously so. Driving a Tesla made a statement that didn’t seem to be in the MAGA lexicon at all. It was all very confusing.

But I think it’s starting to make a little more sense. That brand was built by vehicles that Musk had limited influence over. Sure, he took full credit for the brand, but just like company he took over, it’s initial form and future direction was determined by others.

The Cybertruck was a different story. That was very much Musk’s baby. And just like his biological ones (14 and counting), it shows all the hallmarks of Musk’s “bull in a China shop” approach to life. He lurches from project to project, completely tone-deaf to the implications of his actions. He is convinced that his genius is infallible. If the Tesla brand is a reflection of Musk, then the Cybertruck gives us a much truer picture. It shows what Tesla would have been if there had never been a Martin Eberhard and Marc Tarpenning and Musk was the original founder.

To say that the Cybertruck is “off brand” for Tesla is like saying that the Titanic had a tiny mishap. But it’s not that Musk made a mistake in his brand stewardship. It’s that he finally had the chance to build a brand that he believed in.

Media Modelling of Masculinity       

According to a study that was just released by the Movember Institute of Men’s Health, nearly two-thirds of 3000 young men surveyed in the US, the UK and Australia were regularly engaging with online masculinity influencers. They looked to them for inspiration on how to be fitter, more financially successful and how to increase the quantity and/or quality of their relationships.

Did they find what they were looking for?

It’s hard to say based on the survey results. While these young men said they found these influencers inspiring and were optimistic about their personal circumstances and the future social circumstances of men in general, they said some troubling things about their own mental health. They were less willing to prioritize mental health and were more likely to engage in risky health behaviors such as steroid use or ignoring their own bodies and pushing themselves to exercise too hard. These mixed signals seemed to come from influencers telling them that a man who can’t control is emotions is weak and is not a real man.

Also, not all the harm inflicted by these influencers was felt just by the men in their audience. Those in the study who followed influencers were more likely to report negative and limiting attitudes towards women and what they bring to a relationship. They felt that often women were being rude to them and that they didn’t have the same dating values as men.

Finally, men who followed influencers were almost twice as likely to value traits in their male friends such as ambition, popularity and wealth. They were less likely to look for trustworthiness or kindness in their male friends.

This brings us to a question. Why do young men need influencers to tell them how to be a better man? For that matter, why do any of us, regardless of age or sex, need someone to influence us? Especially if it’s someone who’s only qualification to dispense advice is that they happen to have a TikTok account with a million followers.

This is another unfortunate effect of social media. We have evolved to look for role models because to do so gives us a step up. Again, this made sense in our evolutionary past but may not do so today.

When we all belonged to a social group that was geographically bound together, it was advantageous to look at the most successful members of that group and emulate them. When we all competed in the same environment for the same resources, copying the ones that got the biggest share was a pretty efficient way to improve our own fortunes.

There was also a moral benefit to emulating a role model. Increasingly, as our fortunes relied more on creating better relationships with those outside our immediate group, things like trustworthiness became a behavior that we would do well to copy. Also, respect tended to accrue to the elderly. Our first role models were our parents and grandparents. In a community that depended on rules for survival, authority figures were another logical place to look for role models.

Let’s fast forward to today. Our decoupling with our evolutionarily determined, geographically limited idea of community has thrown several monkey wrenches into the delicate machinery of our society. Who we turn to as role models is just one example. As soon as we make the leap from rules based on physical proximity to the lure of mass influence, we inevitably run into problems.

Let’s go back to our masculinity influencers. These online influencers have one goal – to amass as many followers as possible. The economic reality of online influence is this: size of audience x depth of engagement = financial success. And how do you get a ton of followers? By telling them what they want to hear.

Let’s stare down some stark realities – well adjusted, mentally secure, emotionally mature, self-confident young males are less likely to desperately look for answers in online social media. There is no upside for influencers to go after this market. So they look elsewhere – primarily to young males who are none of the above things. And that audience doesn’t want to hear about emotional vulnerability or realistic appraisals of their dating opportunities. They want to hear that they can have it all – they can be real men. So the message (and the messenger) follows the audience, down a road that leads towards toxic masculinity.

Media provides a very distorted lens through which why might seek our new role models. We will still seek the familiar and the successful, but both those things are determined by what we see through media, rather than what we observe in real life. There is no proof that their advice or approach will pay off in the real world, but if they have a large following, they must be right.

Also, these are one-way “mentorships”. The influencers may know their audience in the aggregate, if only in terms of a market to be monetized, but they don’t know them individually. These are relationships without any reciprocity. There is no price that will be pad for passing on potentially harmful advice.

If there is damage done, it’s no big deal. It’s just one less follower.