Capitalogix

Is Big Tech Faking AI?

Last week, I shared an article about Amazon's "Just Walk Out" technology – and how it likely required a team of human validators and data labelers.

My takeaway from the article was that we're right at the peak of inflated expectations and about to enter the trough of disillusionment. 

Gartner via Wikipedia 

One of my friends sent me this video, which he found in response.

 

via Sasha Yanshin

It's a pretty damning video from someone who is frustrated with AI - but it makes several interesting points. The presenter discusses Amazon's recent foible, Google's decreasing search quality, the increase of poorly written AI-crafted articles, GPTs web-scraping scandals, and the overall generalization of responses we see as everyone uses AI everywhere. 

Yanshin attributes the disparity between the actual results and the excitement surrounding AI stocks to the substantial investments from technology giants. But as most bubbles prove, money will be the catalyst for amazing things — and some amazing failures and disappointments too.

His final takeaway is that, regardless of its current state, AI is coming and will undoubtedly improve our lives. 

If I were to add some perspective from someone in the industry, it would be this. 

AI Is Overdelivering in Countless Ways

There will always be a gap between expectations and reality (because there will always be a gap between the hype and adoption cycles). AI is already seamlessly integrated into your life. It's the underpinning of your Smartphones, Roombas, Alexas, Maps, etc. It has also massively improved supply chain management, data analytics, and more. 

That's not what gets media coverage ... because it's not sexy ... even if it's real. 

OverHype has existed for much longer than AI has been in the public eye. An easy example is the initial demo of the iPhone, which was almost totally faked,

Having created AI since arguably the mid-90s, the progress and capabilities of AI today are hard to believe. They're almost good enough to seem like science fiction. 

The Tool Isn't Usually The Problem 

Artificial Intelligence is not a substitute for the real thing—and it certainly can't compensate for the lack of the real thing. 

I sound like a broken record, but AI is a tool, not a panacea. Misusing it, like using a shovel as a hammer, leads to disappointment. And it doesn't help if you're trying to hammer nails when you should be laying bricks. 

ChatGPT is very impressive, as are many other generative AI tools. However, they're still products of the data used to train them. They won't make sure they give you factual information; they can only write their responses based on the data they have.

If you give an AI tool a general prompt, you'll likely get a general answer. Crafting precise prompts increases their utility and can create surprising results. 

Even if AI independently achieves 80% of the desired outcome, it still did it without a human, a salary, or hours and days of time to create it. 

Unfortunately, if you're asking the wrong questions, the answers still won't help you. 

That's why it matters not only that you use the right tool but also that you use it to solve the right problem. In addition, many businesses lose sight of the issues they're solving because they get distracted by bright and shiny new opportunities. 

Conclusion

Sifting the wheat from the chaff has become more complicated — and not just in AI. Figuring out what news is real, who to trust, and what companies won't misuse your data seems like it has almost become a full-time job. 

If you take the time, you will see a lot of exciting progress. 

Public perception is likely to trend downward in the next news cycle, which is to be expected. After the peak of inflated expectations comes the trough of disillusionment. 

Regardless, AI will continue to become more capable, ubiquitous, and autonomous. The question is only how long until it affects your business and industry. 

 - via Don't Walk Out on AI Just Yet

What's the most exciting technology you've seen recently?

The Evolution of Michael Jackson

This lighthearted post has something to do with artificial ...  but nothing to do with artificial intelligence.

While doing my weekly reading and web browsing (which is how I pick those links you probably think an algorithm selects), I happened upon a post about Michael Jackson on Twitter (now called X), and I enjoyed it (or at least was drawn to click and watch it). 

I grew up a huge Michael Jackson fan. As a kid, I watched the Jackson 5 Saturday morning cartoon show. His albums were the soundtrack to my college years. Later, my first wife and I saw him in concert several times. We shared that love with our youngest son, Zach. 

It's funny to look back on, but Zach used to dance to Michael Jackson's songs on stage at his Elementary School talent shows or at random restaurants. There was no choreography ... but lots of movement. I still smile when I think about it. 

You might smile (or shake your head) while watching this short video chronicling the evolution of  Michael Jackson's face changes from birth to death. 

 

via MikeBeast

It's a staggering difference. I won't pretend to know what led him to make the changes, but they're substantial. 

That being said, his music is both timely and timeless - which is very rare. He managed to make music in each era that fit in with the times but still felt very Michael Jackson. 

 

via MikeBeast

 

Gone too soon!

The First Neuralink Patient's #1 Priority

Neuralink received approval for human trials of its PRIME Brain-Computer Interface in September 2023.

In January, Elon took to Twitter and announced that the first human recipient had received an implant and was showing promising neuron spike detection. 

Neuralink designed PRIME to record and transmit neural data to interpret brain activity into movement intention. The PRIME Brain-Computer Interface empowers disabled individuals by enabling them to communicate and engage with the world in innovative and impactful ways, such as regaining the ability to speak and interact with others. In the future, advancements in the PRIME Brain-Computer Interface could even assist individuals with spinal cord injuries learn to walk again.

The first patient was 29-year-old Noland Arbaugh, a complete quadriplegic who had lost sensation and suffered paralysis from below the shoulders after sustaining a spinal injury during a diving accident eight years ago.

When we first began receiving updates about him, we were excited to hear that he could use a computer cursor. That was a big step ... and the start of many others. Now, we're being told that he recently used the technology to stay up all night playing a video game called Civilization 6.

https://t.co/OMIeGGjYtG

— Neuralink (@neuralink) March 20, 2024

Similarly, in 2022, a completely paralyzed man used his brand-new brain implant to ask his caregivers for a beer. 

It sounds like a joke, but these are the types of stories that make me optimistic. Both examples highlight a new capability ... but also a deeper purpose, freeing the human to enjoy being human and enhance the quality of their life.

This is a great reminder. Media coverage often focuses on the fear of an increasingly tech-driven world, and what it means for humanity ... but the best uses of technology allow us to be more human. 

What used to be science fiction is becoming reality, and possibilities are becoming inevitabilities. 

Onwards!

The Jobs Most Impacted By AI

As we talk about the proliferation of AI, it's probably helpful to see where it's predicted to have the most impact. 

via visualcapitalist

These results come from a World Economic Forum report. 

In context, large impact refers to full automation or significant alteration. Small impact refers to less disruptive changes. 

IT and finance have the highest share of tasks expected to be "largely" impacted by AI ... which is unsurprising. 

We've also already seen the impact of LLM and generative AI on customer service and customer care. As these tools improve, more cases will be able to be fully handled by AI. 

This chart isn't meant to make you feel afraid that your industry will be automated—it's meant to help you understand what tasks you should consider automating. 

Overhyped Technologies (Or Not)

Just because something is overhyped doesn’t mean it’s bad.

Gartner’s Hype Cycle is a great example of this concept.  It highlights the likely cycle of inflated expectations, disillusionment, and, ultimately, utility.

The key takeaway from the Hype Cycle model is that much of what happens is predictable ... and that a significant portion of the extreme swings are based on human nature rather than technical merit.

Haters are going to hate, and sometimes a fad is more than a fad.  For example, here is a front-page article from the New York Times in 1879.  It questions the utility of electric lights as a replacement for gas-powered lighting.  In case you were wondering, that one might have been a bright idea.

 

 

The point is that humans have proven themselves to be pretty bad at exponential thinking.  We’re not bad at recognizing periods of inflection, but we often have trouble recognizing the consequences of the change (and the consequences of those consequences) and predicting who the winners and losers will be as a result of those regime changes. 

 

 

There are countless examples.  Here’s a funny one from Maximum PC Magazine in 2008.  It shows that hype isn’t always a sign of mistaken excess.  This list purported to show things that were getting too much attention in 2008.  Instead of being a list of has-beens and failures, many of these things rightfully deserved the attention and hype they were getting.

 

 

It’s been over 15 years since this came out.  How did the predictions hold up?

Apple has become one of the world’s biggest and most successful companies (with a market cap approaching 3 Trillion dollars).  The iPhone has sold over 2.2 billion phones and accounts for over half of Apple’s total revenue.  Meanwhile, Facebook has become Meta and is also one of the biggest and most successful companies in the world (with a market cap of well over a Trillion dollars).  And the list keeps going: HD video, 64-bit computing, downloading movies from the internet, and multiple GPU video cards. 

Take just that last one. Nvidia has been the primary beneficiary of GPU growth, and it is one of the highest-performing stocks of the past few decades (with a market cap of well over 2 trillion dollars). 

It’s hard to believe how poorly this image aged. 

Remember that the trend is your friend while it continues.

Just because something is overhyped - doesn’t mean you shouldn’t be excited about it. 

The key is to stop thinking about the thing that’s being hyped and, instead, to start thinking about how to use things like that to create what you really want.

Onwards!

Velocity Versus Speed

Recently, I've been thinking a lot about how businesses scale and technology adoption accelerates.

For example, consider how fast AI is improving and transforming business.

Last year, I shared a short video called Speed Matters. It includes some thought-provoking ideas. You can view it by clicking here.

 

 

While speed matters, faster is not always better.

As you focus on doing more things faster, it becomes more essential to give people room to do important things slower.

You've almost certainly heard the phrase, "It's better to measure twice and cut once."  It's much easier to do something the right way from the beginning rather than trying to fix it after you mess it up. 

Activity does not create progress if it doesn't move you in the right direction.

This reminds me of a distinction my friend Nic Peterson makes. What you want in your business is velocity rather than speed. Velocity implies a vector (and preferably only one vector). You want to move fast in the desired direction, not fast towards distractions, mistakes, or money down the drain. 

To add one more layer to this, there's an "almost true" axiom in technology: you can only have two out of these three things: a project done fast, done right, and done cheaply.

But it's only almost true for a big reason. If you've already built the team and put in the work, replicating that work for new projects can be done fast, right, and comparatively cheaper. 

Are you just moving fast, or do you have velocity in your business?

Something to think about ... 

The U.S. Is Back On The Moon!

When I was young, the Space Race captured the hearts and souls of Americans.  But, for the past few decades, it was in the background.  Recently, that has changed.  The space race is getting hot again.  Resources are pouring into this area, and SpaceX is leading the pack. 

In 2018, I shared excitement that the boosters he used were reusable.  Today, people are talking about how his ship, Starship, could render other rocket programs obsolete. 

Fifty-one years after we last landed on the moon, the U.S. is back, and it wasn’t Elon, but the private company Intuitive Machines finally accomplishing the feat. 

Odysseus, the unmanned lander, is now sending data back to Earth. 

Despite the massive leapfrog in technology over the past 51 years, this is still a massive achievement for several reasons.  It was done by a private company, it was still very expensive, it precedes a 2026 manned flight from NASA, and it’s the first commercial flight - not just from the U.S. - to make it to the moon.  The trip’s goal is to research the area NASA plans to use for an upcoming mission.  They believe there are beads of frozen water in the area, which could help sustain a permanent settlement. 

For many years, landing on the moon wasn’t getting any money.  Money was scarce.  We brought back over 800 pounds of moon rock on our last visit, and what little money there was went to more novel missions.  The moon landing symbolizes excitement about the long-term potential of the moon, not just space travel. 

I love spaceflight for a lot of the same reasons I love AI. 

It’s a global initiative heralding innovation and improvements that transform the world.  It’s the genesis of many exponential technologies. 

Many astronauts, even from back in the Apollo days, talk about the incredible feeling they get after a few days in space.  As they gaze on the Earth from above, they lose their sense of borders and nationality.  The Saudi astronaut Sultan bin Salman Al-Saud, who flew on the Space Shuttle in 1985, commented on this, saying, “The first day or so we all pointed to our countries.  On the third or fourth day, we were pointing to our continents.  By the fifth day, we were aware of only one Earth.”

It reminds me of Carl Sagan’s video on “The Pale Blue Dot.” 

In 1977, five years after we left the moon, the Voyager 1 launched into space.  Just over a dozen years later, the Voyager 1 spacecraft had traveled farther than any spacecraft/probe/human-made anything had gone before.  It was approximately 6 billion kilometers away from Earth.  At that point, the Voyager 1 was “told” by Carl Sagan to turn around and take one last photo of the Earth ... a pale blue dot. 

The resulting photo is impressive precisely because it shows so little in so much.

“Every saint and sinner in the history of our species lived there--on a mote of dust suspended in a sunbeam.” – Carl Sagan

Earth is in the far right sunbeam – a little below halfway down the image.  This image (and the ability to send it back to Earth) was the culmination of years of effort, the advancement of technology, and the dreams of humankind.

The resulting speech from Carl Sagan is still profound, moving, and worth a listen. 

 

via Carl Sagan

Here’s the transcript: 

_____

Look again at that dot.  That’s here.  That’s home.  That’s us.  On it everyone you love, everyone you know, everyone you ever heard of, every human being who ever was, lived out their lives.  The aggregate of our joy and suffering, thousands of confident religions, ideologies, and economic doctrines, every hunter and forager, every hero and coward, every creator and destroyer of civilization, every king and peasant, every young couple in love, every mother and father, hopeful child, inventor and explorer, every teacher of morals, every corrupt politician, every “superstar,” every “supreme leader,” every saint and sinner in the history of our species lived there--on a mote of dust suspended in a sunbeam.

The Earth is a very small stage in a vast cosmic arena.  Think of the rivers of blood spilled by all those generals and emperors so that, in glory and triumph, they could become the momentary masters of a fraction of a dot.  Think of the endless cruelties visited by the inhabitants of one corner of this pixel on the scarcely distinguishable inhabitants of some other corner, how frequent their misunderstandings, how eager they are to kill one another, how fervent their hatreds.

Our posturings, our imagined self-importance, the delusion that we have some privileged position in the Universe, are challenged by this point of pale light.  Our planet is a lonely speck in the great enveloping cosmic dark.  In our obscurity, in all this vastness, there is no hint that help will come from elsewhere to save us from ourselves.

The Earth is the only world known so far to harbor life.  At least in the near future, there is nowhere else to which our species could migrate.  Visit, yes.  Settle, not yet.  Like it or not, for the moment the Earth is where we make our stand.

It has been said that astronomy is a humbling and character-building experience.  There is perhaps no better demonstration of the folly of human conceits than this distant image of our tiny world.  To me, it underscores our responsibility to deal more kindly with one another, and to preserve and cherish the pale blue dot, the only home we’ve ever known.

____ 

Today, we have people living in space, posting videos from the ISS, and high-resolution images of space and galaxies near and far. 

We take for granted the immense phase shift in technology.  You have more computing power in your pocket than we first used to go to the moon.

As humans, we’re wired to think locally and linearly.  We evolved to live in small groups, fear outsiders, and stay in a general region until we die.  We’re not wired to think about the billions and billions of individuals on our planet, or the rate of technological growth - or the minuteness of that all in regard to the expanse of space.  

However, today’s reality necessitates thinking about the world, our impact, and what’s now possible.

We created better and faster ways to travel, we’ve created instantaneous communication networks across vast distances, and we’ve created megacities.  Our tribes have gotten much bigger - and with that, our ability to enact massive change has grown as well. 

Space was the first bastion of today’s innovation, but today, we can look toward AI, medicine, epigenetics, and more. 

It’s hard to comprehend the scale of the universe and the scale of our potential ... but that’s what makes it worth exploring!

Onwards!

Here Are Some Links For Your Weekly Reading - February 18th, 2024

Here are some of the posts that caught my eye recently. Hope you find something interesting.

Lighter Links:

• OpenAI's Product Page for Sora – Their AI Model That Creates Video From Text (with Examples). (OpenAI)
• You Are Not Late to Artificial Intelligence. (TheAlgorithmicBridge)
• ‘Mental Time Travel' Can Help You Make Better Decisions. (LifeHacker)
• ‘The Alternative' is Just the Book Economists Should Read — And Won't. (Washington Post)
• Musk Says Putin Can't Lose in Ukraine, Opposes Further Funding – “Prolonging the War Does Not Help Ukraine.” (Bloomberg)

 

Trading Links:

• OpenAI Staff Granted Permission to Liquidate Shares at Astounding $86 Billion Valuation - Insider Report. (Cryptopolitan)
• What Sam Altman's Chimerical Trillions Say About AI Hype. (Axios)
• The US-China Chip War is Escalating. (Apricitas)
• In Memory of Byron Wien, Here Is a 2024 "Ten Surprises" Tribute. (BlueFoxAdvisors)
• How Big Is the Commercial Real Estate Mess in the U.S.? Expect Losses in the Trillions of Dollars Over Time. (TheInstitutionalRiskAnalyst)

 

Going With The Flow: Functional Mapping

There’s a concept in design and transportation called Desire Paths. 

The desired path is the path that users take despite the intended path by the builder of a community or application. 

Here’s a great example. 

Reddit via itstartswithani

And, here’s a whole community forum focused on desire paths. 

It’s often easier to take advantage of human nature ... or just nature ... than fight against it. 

To that effect, I shot a short video on how this relates to your business and tech adoption.  I call it functional mapping.  Check it out. 

 

Understanding the natural path for both technology and your clients makes it easier to understand and anticipate the capabilities, constraints, and milestones that define your path forward.   That means you actually have to understand the different types of users and what they expect to do.

Each stage is really about the opportunity to scale desired capabilities and automation.

It isn’t really about building the technology; rather, it is about supporting the desire.

You don’t have to get it right.  You just have to create momentum in the right direction.  This means that if you understand what is coming, you don’t have to build it … but you should figure out where you want to build something that will move things in the right direction.

You’ve probably heard me talk about how Capabilities become Prototypes.  Then, Prototypes become Products.  And ultimately, Products become Platforms.

This model is fractal.  That means it works on many levels of magnification or iteration.

What first looks like a product is later seen as a prototype for something bigger.

SpaceX’s goal to get to Mars feels like their North Star right now ... but once it’s achieved, it becomes the foundation for new goals.

This Framework helps you validate capabilities before sinking resources into them. 

It helps you anticipate which potential outcomes you want to accelerate.  Rather than simply figuring out the easiest next step … you have to figure out which path is the best next step to your desired outcome.

The world is changing fast!  I hope you’re riding the wave instead of getting caught in the riptide!

How To Make Real-Time Decisions

I recently came across an interesting technique that fighter pilots use to make fast and accurate decisions in high-stakes situations. 

The Air Force calls it an OODA Loop.

It is an iterative feedback model that Colonel John Boyd designed as a foundation for rational thinking in chaotic situations like dogfights.

It stands for Observe, Orient, Decide, Act. 

via Wikipedia

Why do people use decision models?  Obviously, to make better decisions.  But really, they use models to create a process that avoids many of the mistakes or constraints that prevent good decisions.

You make countless decisions every day - and at a certain point, you reach decision fatigue.  It can be harder to make decisions when you are tired, after you've made too many, or when the intensity of the environment distracts or drains you. 

It's one of the reasons I rely on artificial intelligence.  Here are some others. 

• Best practice becomes standard practice. 
• It accounts for signal and noise.
• It attempts to quantify or otherwise make objective assessments, comparisons, and choices. 
• And, it often gives you a better perspective by letting you apply and compare different models or decision techniques to achieve the desired outcome.

Nonetheless, many algorithms are dynamic and adaptive automation of processes or strategies that humans have used successfully before.

So, let's take a closer look at the OODA Loop, which stemmed from analyzing many interactions between and among fighter pilots during battle and training. 

Observe

The first step is to observe the situation to build the most accurate and comprehensive picture possible.  The goal is to take in the whole of the circumstances and environment.  It's not enough to observe and collect information ... you must process the data and create useful meaning. 

It's the same with data collection for an AI system.  Ingesting or collecting data isn't enough.  You have to be able to apply the data for it to become useful. 

Orient

The second step is less intuitive but very important.  When you orient yourself, it becomes easier to recognize strengths, weaknesses, opportunities, and threats to identify how changing the dimensionality or perspective alters the outcome. 

This step reconnects you with reality in the context of your cognitive biases, recent decisions, and more.  For example, have you received new information since starting?

I think of this as carrying a map and pulling out a compass while exploring new lands.  Sometimes, you need to remember where you started, and sometimes, you need to make sure you're going where you think you are. 

Decide

The last two steps provide the foundation for taking action. 

When there are multiple decisions in front of you, observing and orienting help you choose wisely. 

In business and with AI, you can go through these loops multiple times. 

Act 

Finally, remember that the best-made plans mean nothing if you don't act on them. 

Once you've taken action, you can reobserve, reorient, and keep moving forward. 

Conclusion

Like most good mental models, The OODA loop works in many situations and industries.

Speed is often a crucial competitive advantage.  For example, knowing (and taking decisive action) while others are still guessing (and taking tentative action) is something I call time arbitrage. 

Said another way, you make progress faster by walking in the right direction than by running in the wrong direction. 

These processes (and technology) also help us grow more comfortable with uncertainty and uncomfortableness.  Markets are only getting more volatile.  Uncertainty is increasing.  But, when you have the ability to adapt and respond, you can survive and thrive in any climate.