Tag Archives: AI

A bigger gig economy

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The gig economy is a system where people work as freelancers or take on side jobs for companies instead of having a regular full‑time position. Uber drivers are a great example of this. There are a few reasons why I think the gig economy is going to grow:

  1. High prices are making a side hustle of some sort essential if you want to enjoy things beyond what salaries allow.
  2. Companies like the structure because pay is based on performance rather than a set salary.
  3. Entertainment is shifting to live performances, gigs, as a primary form of earnings. Getting your music to stream is not enough to keep most musicians going without a concert tour.
  4. A trend now in social media, is to see a lot of affiliate marketing. Only the biggest of social media stars can make this a full-time living. For the vast majority affiliate marketing is nothing more than a gig economy.
  5. We are going to see a wave of AI trainers needed to train robots to do everyday skills. Work as a maid in a hotel? We’ll pay you to wear a GoPro for two weeks while you work. That video will train an AI that’s going to take your job less than a decade later.

Companies are afraid to hire full time staff. Money is better spent on technology than on training a human on a fixed salary. As a result, the gig economy is just going to get bigger and bigger.

UCI rather than UBI

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As AI and robotics continue to scale at unimaginable speeds, with AI getting exponentially smarter and robots increasingly more agile, we’ve got to realize how many jobs will disappear in a very short time period. This isn’t a gradual transition, it’s not a move from one field to another like farmers transitioning into factory workers during the industrial revolution. It’s a massive shift from human labour to machine labour that the world’s economies simply aren’t designed to absorb.

I’ve seen a growth in the number of people talking about the need for Universal Basic Income (UBI), but I fear this isn’t enough. I fear that the idea of giving millions if not billions of people a basic income, but no real means for most of them to supplement those incomes as an insufficient solution. We don’t need UBI, we need UCI – Universal Comfortable Income. It’s not going to be enough to give people a basic survival income. We are going to need to see governments, and maybe even companies, share their resources and wealth with people, or else who is going to have the resources to buy the products and services AI and robots will offer?

The potential for dissatisfaction and ultimately unrest seems scary to me. A world with a couple dozen trillion-dollar companies, and a handful of trillionaires running them, is also a world with vast populations of people eking out a subsistence lifestyle, unable to do more than meet their survival needs. A basic income, requiring additional sources of income to appreciate the offerings of a fully automated economy, will not survive without a revolt for too long.

Maybe I’m wrong. Maybe there are other solutions to this problem. Maybe I’m too bullish about to how far things will advance in a short time. That said, the potential for the scenario above to occur in the next decade is not zero. It might be a pessimistic bad-case or even worse-case scenario, but it’s possible… and scary. If things advance as fast as I think they will, we can’t continue to have UBI conversations, we need to move the goal posts and start really thinking of UCI.

A tidal wave of spam

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Head of products at Twitter/x.com, Nikita Bier, said this on February 11th, 2 months ago today:

“Prediction: In less than 90 days, all channels that we thought were safe from spam & automation will be so flooded that they will no longer be usable in any functional sense: iMessage, phone calls, Gmail.

And we will have no way to stop it.”

Anthropic’s newest AI model, called Claude Mythos, is not being released to the public due to concerns about its ability to uncover high-severity cybersecurity flaws in major operating systems and web browsers. But make no mistake, this AI version and more (some privately owned and some free and open source) will be available in the next month. With this will come a tidal wave of security breaches, identity theft, and corporate as well as personal blackmail crimes.

The fact is that these AI models are professional lock pickers put in the hands of anyone who wants to use them. Almost no skill needed. Unlike the movies where the people doing a heist needed to recruit that one-of-a-kind safe cracker with crazy skills, now a 15 year old in his parent’s basement can do it without leaving the house.

This wave of ‘safe crackers’ is going to be let loose soon. But something else is headed this way and that’s the scammer coming for you and me via our phones, laptops, and social media accounts. These used to show up in poorly written emails, or broken English texts and phone calls that made them easy to detect. Now three things have fundamentally changed:

1. The quality of the messaging is flawless;

2. The ability of spammers and scammers to target you and share enough information to seem legitimate;

3. The sheer volume of spam coming our way. 1 spammer used to mean 1 phone call at a time being followed up with a real person. But with AI agents, one command could unleash wave upon wave of simultaneous emails, phone texts, and messages across many social media platforms.

The biggest problem with AI in the next 5 years isn’t what AI can do on its own, but rather what people with bad intentions can… and will… do with AI. It’s bad faith actors who will be our nemesis. Ultimately, the tidal wave is coming, “And we will have no way to stop it.”

So easy to cheat

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We aren’t far away from contact lenses that can do the same. The article, ‘Smart Glasses for Exam Cheating: Best Models, Prices and Risks in 2026’, shares multiple options that can provide AI delivered test answers, in seconds, via a small ear piece or even projected text answers which can only be heard or seen by the user. Banned? Of course. Easily detected? Not all models, with more sleuth and hidden models being developed every day. And as mentioned, what happens when these are as invisible as contact lenses?

Make no mistake, cheating has been around as long as tests have. In some respects this is not new. But most methods of cheating demand guessing what questions will be on the test in advance. Methods like these are responsive to every question asked. And the speed of responses are natural. While you are still reading the question, a response is already headed your way. No need to shift your eyes from the screen or test paper. No hidden notes to conceal, and no wrong answers unless you are choosing to get less than a perfect score, to not seem suspiciously smart.

I remember a friend telling me about him and his friends getting hold of their ethics exam a couple days before they had to write it. The irony of cheating on an ethics exam is not lost on me. They memorized the questions and answers, and all chose different ones to get wrong, while still achieving high ‘A’s. Then on the day of the test my friend was horrified when his friend raised his hand 30 minutes into a 3-hour exam, and shared a typo on a question that no one should have gotten to in such a short time. Despite this poor choice, they all got their ‘A’s.

That’s going to be the new challenge in cheating, how to not do too well to bring attention to yourself. A good problem to have for a cheater.

So here we are in a new era of cheating. Prescription glasses, hidden cameras and microphones, and curated wrong answers. And in all honesty, less and less opportunity for detection. Ultimately, it’s the tests that will need to change.

Way more Waymo

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Here is a statistic from the company Waymo:

“In less than two years, the company’s average weekly paid robotaxi trips have grown tenfold, from 50,000 per week in May 2024 to 500,000 per week today.” Source: Waymo’s skyrocketing ridership in one chart

This is amazing growth. It’s not an isolated statistic. We are seeing this kind of growth in robotic focused manufacturing, and we are seeing it in the use of AI to do many jobs that humans used to do.

Are we ready for this? Are we ready for the gig economy to be eaten up by automation? Are we ready for not just blue collar but also white collar jobs to dwindle as AI takes over these jobs at an exponential rate? Are we ready for AI teachers, AI servants, AI drivers, AI delivery, AI accountants, AI lawyers, AI programmers, and AI in fields we thought would always need humans in them? Are we ready for way more of this kind of Waymo growth occurring simultaneously across many sectors?

We aren’t ready. Yet this is coming our way. It’s that simple.

Our responses in each case will be reactionary. For every current Waymo passenger there are probably a few potential customers thinking, ‘That’s scary, I’m not ready to put my life in the hands of a robot driver on the highway or the busy streets of downtown at rush hour.’ But those stats will dwindle. For every worker who thinks, ‘My job is safe, they’ll always need me,’ there are others who thought the same just a few years ago, and they are now looking for a job, often in a different sector than what they’ve been in.

Yes, there are limitations to this growth in some sectors. Yes, new jobs may come up that are uniquely human in nature. Yes, there are yet unharnessed opportunities for people to make a greater income (with less effort) in areas that they would not have imagined just a few months ago. It’s not all doom and gloom… but make no mistake, the exponential growth of AI powered advances will be drastically affecting all of our everyday lives sooner than most people realize. Waymo’s growth is emblematic of the kind of growth we will see in almost every aspect of our lives.

Who will get us there?

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Stephen Downes shared the following on LinkedIn:

“I was asked, “Please provide a brief abstract that summarises your views on the impact of AI on higher education.”

As far more than the language models that have captured the attention of the world over the last few years, artificial intelligence (AI) represents a significant increase in human capability, augmenting and sometimes exceeding our natural capacities to perceive, reason, create and remember. Ubiquitous access to these capabilities changes the definition of what it means to learn and to be educated. Skills once reserved to the domain of experts are now in the hands of everyday people, while most every discipline is devising new models, methods and pragmatics of work alongside, or teaming with, these new tools. This challenges educators along a number of fronts, impacting how they teach, what they teach, and even what it means to teach. Today’s educator in a world of AI is responsible for far more than passing along knowledge (indeed, the machine can do most of that). We will be responsible for challenging students both young and old to find new ways of seeing and creating, leading them through demonstration of dedication, resilience and passion, and modeling for them the best values of civil and social responsibility, contribution and care.

Thoughts?” ~ Stephen Downes

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Although my thoughts align with K-12 education as well as higher education, these thoughts come to me in the form of a question:

Who is going to get us there?

Who is the ‘We’ that Stephen is talking about when he says, “We will be responsible for challenging students both young and old to find new ways of seeing and creating, leading them through demonstration of dedication, resilience and passion, and modeling for them the best values of civil and social responsibility, contribution and care”?

Because I love this vision of what teaching can become, I just don’t see a clear path to take us there.

‘We’ won’t get there following the guidance of financially lucrative edu-tech business, products, and tools… their locked-in subscriptions will tout measures of success that don’t align with this vision, even when they say that they will.

‘We’ won’t get there like we did with Web2.0 tools in the late 2000’s and early 2010’s, on the backs of tech savvy educators leading the charge.

‘We’ won’t get there because of some governmental vision pushing a new AI enhanced curriculum, or even new guidelines that somehow redefine for teachers, “how they teach, what they teach, and even what it means to teach”.

I hope I’m not coming off as a pessimist. I’m excited about what’s possible. I just fear that ‘we’ aren’t going to get ‘there’ any time soon unless ‘We’ align philosophy, policy, and economic support for the transformation of schools into something different.

Short of that, I fear that ‘We’ will be having the same ‘20th century schools in a 21st century world’ conversation in another 10 years… which I’ve heard since getting into education in the late 1900’s.

AI Agents and Trust

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I read this in the Superhuman Newsletter today,

“Agents need authorization, not
just authentication…

The winners in enterprise AI won’t have the most features. They’ll be the ones enterprises can safely trust.”

I am still very far away from letting any kind of AI agent access my email. I don’t care how efficient the tool might make me; don’t care if it can prioritize and reduce my attention on unimportant information. The reality is that my email is the gateway to every login credential and password to every online identity I have… and it’s not only the agent itself I fear, it’s the vulnerabilities that they open me up to if a bad actor can trick the agent into giving them access.

Maybe I’m just paranoid, but I don’t think there are enough kinks worked out in the area of privacy and security. Oh, and to ad an important PSA: Make sure your email password is different than all other passwords you use online. I’d rather be paranoid than overconfident when it comes to online safety and security.

The worst it will be from now on

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I used Google’s Notebook LM in September 2024 and I was impressed with the podcast it created, sharing a summary of my blog. A month later I had it do the same for a video I created with Joe Truss. This is a novel theory, not a general knowledge concept and yet the AI grasped the majority of the concepts and did a very good summary.

Today I went back to Notebook LM because I heard it can now do video summaries. Again, I was impressed. While the accompanying visuals were not ideal, (we discuss complex geometry), the audio summary was excellent and it was valuable to see what takeaways were summarized and how the ideas were structured.

I then explained some of the geometric issues and the AI produced a pdf with the correct geometry. Joe and I then tried creating a slide deck, another new feature. The resulting text was excellent again, but some of the images were not quite accurate, yet we could see the possibilities in correcting the details and providing other sources to make it give us impressive results.

Reflecting on these improvements it occurred to me just how good this tool is now, and yet this is the worst version it will ever be. Artificial Intelligence and robotics are both advancing exponentially in capabilities. It’s exciting to think that what we are capable of using these tools for now will be considered simplistic if not archaic in just a few years.

Today I saw a video about a Chinese company that is selling a three and a half foot tall humanoid robot for the price of a new iPhone. It is not a simplistic toy, it is extremely agile and comes with a fully programmable operating system, meaning it is completely trainable for skills it doesn’t come with. That same company is expecting to reach 1,000 units produced a month by the end of this year.

We are in an era where advances happen daily, and what we marvel at today will be commonplace tomorrow. Every day the advances get a little better and so we are perpetually living with the worst technology we’ll ever know.

Dystopian hiring

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We aren’t that far away from a rather dystopian world where so much of our lives are monitored and recorded that we will be an open book.

Imagine going for a job interview and before you arrive a digital, AI private detective has tracked every possible video, image, and written document that you’ve shared publicly, and given you a score based on company criteria that you are not privy to. And maybe that tracking will go beyond publicly shared data and reveal even more about you, like medical information scraped from a data breach you know nothing about.

Imagine going into that interviews where you are submitted to a ‘voluntary’ brain scan as part of the interview… that you agree to knowing full well that you won’t get the job if you don’t volunteer.

That scan will check to see if you are being honest during the interview, and it will also do things like measure the size of your anterior medsingulate cortex, which will let the company know if you are someone who does or does not challenge themselves. The company hiring you will know more about you than your friends and family do.

And for a real dystopian plot twist: it’s an android interviewing you for a mundane job that androids consider too menial to do! Even without this twist, I wonder what the job market will look like in 20 years? What role will humans play in the overall work force? What jobs are uniquely human, and what jobs can a brilliant if not super intelligent AI do?

I’m not sure how much the job market will truly change in just 20 years, but at the rate of advancement that I’m seeing in robotics and artificial intelligence, I really think a major disruption in what we call work is coming. The disruption will be uneven at first, taking more jobs in different sectors than in others, but sooner than we would want to envision, the disruption is coming in almost every sector. What will that really mean for humans and the things we define as work?

Robots, robots, everywhere

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In the world of robots two things are happening at lightning speed:

  1. Capabilities – A year ago humanoid robots were clunky, unstable, and for lack of a better word, robotic.
  2. Production – A year ago if a company could produce 5,000 robots in a year, they were industry leaders.

Have a look at this video and you’ll see just how much farther along robots and their production have advanced: ‘China’s New AI Robots Shock Everyone With Impossible Skills’

It might be cliche to say, but the future has arrived. First in factories, then in homes! If one thing is certain about our future it is that humanoid robots will be all around us. We’ll have to wait and see how this impacts work, chores, and even social interactions, because there isn’t going to time to think of long term implications before they arrive… everywhere very quickly.