It's unsurprising that Google and social media top the list, but it is interesting to see OpenAI becoming the 17th most visited site last month - with 1.8 billion visits - despite being very new to the scene in comparison to its competitors.
Easy to forget, but also unsurprising is the prevalence of adult websites on this list. One of my most popular articles ever was titled "How Long Does It Take To Get To 50 Million Users?" in it, the takeaway was that Pornhub did it 19 days - faster than anyone else ... up until ChatGPT. Part of the popularity of that article is because Pornhub has very in-depth statistics about its yearly use.
Many of our best decisions, timeliest course corrections, or most significant innovations occur after a seemingly disastrous occurrence. That's why many psychologists and self-help gurus encourage people to focus on the hidden gift that many of these experiences provide.
It's there if you look for it. That painful event becomes the catalyst for either something new, a better way, or a level-up.
Of course, that's not the case for everyone or every event ... It takes the right mindset and the right actions to turn a trial into a triumph.
As we come out of a massive world transformation, and into a new one with the surge in A.I., I think back to 2008 and how a prior incarnation of algorithms fared against it (spoiler alert: not nearly as well as this time). They say the things that don't kill you make you stronger. Here's my trial into triumph story about that.
Too many people become a victim of their circumstances instead of choosing to be the master of their destinies.
Life's harder for people that live a life of least resistance. Doing the hard things, and making the most of bad times, makes your life not only better ... but, ultimately, easier.
Tony Robbins calls this Threshold of Control. If you push through the fear and the struggle ... as you persevere, eventually, what was scary becomes easy. You've increased your threshold, and that's often a permanent improvement.
Examining several instances from my past, here is a list of the seven steps I use to transform almost any situation.
Seven Best Practices for Uncertain Times.
Accept Reality: We are where we are. Focus on being complete with what happened before this – and think about this as a new beginning with an even bigger future.
Do Something Positive: Take action and build momentum and confidence. Big wins are great. Yet, in scary times, even small items are worth noting, building upon, and stacking. Let progress build positive momentum for you.
Take Care of Yourself: Increase your physical activity, meditation, and massage. Take time to eat and sleep well. Many studies show decision-making suffers when you're stressed. Taking care of yourself goes a long way to making many other things better.
Communicate More: The natural tendency is to hide or to recuperate in private. Instead, be open and receptive to help and ideas from friends, partners, or wherever it may come.
Creative Destruction: The old game and the old ways of thinking are over. Shift your energy to what is working. Commit to the result you want rather than the process.
Increase Your Options: It often takes a different level of thinking to solve a problem than the level of thinking that got you there in the first place. So, be open to new opportunities, new possibilities, and more ways to win.
Choose a Bigger Future: Instead of resigning yourself to playing small and doing with less, recognize that a clearing creates space for something even better. Choose what you want and call it into existence through your thoughts and actions.
They say everything happens for a reason. The secret is that you get to choose the reason, what it means to you, and what you're going to do about it. Choose well, and someday you could look back on this time as one of the best things that ever happened to you.
Surface-level statistics - like whether something goes up or down over time - are helpful but don't explain much. I love looking at the patterns and statistics one step deeper.
This example isn't too deep, but it's helpful nonetheless.
VisualCapitalist compiled a chart covering what moved the S&P 500 so far in 2023.
The top 20 stocks accounted for 7.08% out of the 7.55% gain in 2023, but only 29% of the weight of the S&P.
If we look one step deeper than that, we realize that the majority of those stocks are not only Tech stocks, but they are stocks driving the rapid growth in AI. On top of the obvious ones, like Nvidia and AMD, you also have companies like Alphabet and Microsoft investing billions into OpenAI as they begin to leverage ChatGPT into their own chatbots.
The math gets even crazier, though. According to Rowan Cheung, editor of the RunDown AI newsletter, the S&P 500 would be up only 1.4% without the AI-led rally as of May 17, 2023.
One of the things we look for in understanding the performance of indexes like this is market breadth. If many of the S&P 500 companies are performing well, that's a sign of safety. When the market is positive due to the performance of only a few companies, it means you should understand and pay attention to the distinction between the market, as a whole, and the companies (or industries) driving the change. In this scenario, the AI-companies are masking the actual performance of the S&P. How long that can stay true (with banking uncertainty, debt ceiling issues, and more) remains to be seen.
Capitalogix started in my home. The first employee sat at a tiny desk behind me. Their job was to exit the trades I entered. This was an early attempt to avoid the fear, greed, and discretionary mistakes that humans bring to the business of trading.
We started to grow ... and somehow got to 23 people working in my home. It literally overtook my office, dining room, and the entire upstairs. Neighbors noticed (and expressed their displeasure).
Looking back, it seems crazy (and my wife seems Saintly). But somehow, at the time, it felt natural.
Incubating the company in my home, and growing it the way we did, resulted in a closeness (a feeling much like family) that pays dividends, even today.
There is a concept in business expressed by the phrase "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.
It saves time and creates a better end result.
Beginning with the end in mind is powerful. I often spend what looks like "too much" time imagining the bigger future. What will things look like when we are ten times bigger? Who will we serve? What dangers will keep me up at night? What opportunities will we be trying to attract or capture? What strengths will give us confidence? Who will we be collaborating with ... and about what? It helps build a roadmap that makes it easier to understand whether particular activities are aligned with our future (or just something we are doing now).
I prefer to optimize on the longer term rather than the shorter term. That isn't always possible or practical, but that is my preference when it is.
Pace is important - and a focus on "what's the best next step" is an important driver at Capitalogix, but sometimes in order to go fast, you have to go slow. You may miss out on something, but the ultimate payoff is often worth it.
It's a good lesson for personal growth as well. There is no right timeline. No one size fits all. Take your time. Find your path.
Industry is changing fast. In the 1900s, the world's titans mainly produced tangible goods (or the infrastructure for them). The turn of the century brought an increasing return on intangible assets like data, software, and even brand value ... hence the rise of the influencer.
As technology increasingly changes business, jobs, and the world, intellectual property becomes an increasingly important way to set yourself apart and make your business more valuable.
While America is leading the charge in A.I., we're falling behind in creating and protecting intellectual property.
Patents can help protect your business, but they also do much more. I.P. creates inroads for partnerships with other businesses, and they can also be a moat that makes it more difficult for others to enter your space. On a small scale, this is a standard business strategy. What happens when the scale increases?
The number of patents we're seeing created is a testament to the pace of innovation in the world, but it should also be a warning to protect your innovations. Remember, however, that anything you get a patent on becomes public knowledge - so be careful with your trade secrets.
As I experiment with social media in preparation for the launch of my book "Compounding Insights: Turning Thoughts Into Things in the Age of AI," we've started producing short videos where employees ask me questions ... some dumb and some smart.
One we just released asked the question, "Does astrology work?" Here is my response.
The first answer is ... at least not the way many believers wish it would. Nonetheless, many get value from astrology because it helps them think about themselves and others from a different perspective while providing comfort and structure.
It's like a nightlight in the dark. It doesn't make you any safer, but it feels like it.
Unfortunately, like many things ... some people take it too far.
Trading is more accessible than ever before. We've gone from scrums of traders in trading pits to armchair experts investing in real estate, cryptocurrencies, options, and more from the comfort of their couches in their underwear.
With accessibility often comes misuse. And, in this specific case ... astrology.
"Mercury Is In Retrograde ... Should I Sell My Stocks?"
A blindfolded monkey throwing darts at a newspaper’s financial pages could select a portfolio that would do just as well as one carefully selected by experts. - Burt Malkiel, “A Random Walk Down Wall Street”
My son brought to my attention an iPhone app - Bull and Moon; "Find stocks whose stars align with yours."
After you create your "astrological investor profile," their "proprietary financial astrology algorithm recommends an optimal portfolio of six stocks and shows your compatibility score with thousands more."
The picks were pedestrian: Oracle, Hasbro, American International Group, Microsoft, Yum! Brands, and FedEx.
The logic and commentary were entertaining. The choices were based on "similarities in business decisions," "shared outlooks on humanity," and "strong mutual success metrics."
Here is an excerpt:
Zach can usually let strong FedEx Corporation lead the relationship, but at the same time, Zach will invest many times over. This relationship will be full of success, understanding on many levels, and a lot of fun.
It's no secret that I've been a proponent of the proliferation and adoption of AI. I've been the CEO of AI companies since the early 90s, but it was the early 2000s when I realized what the future had in store.
A few years ago, in anticipation of where we are today, I started participating in discussions about the need for governance, ethical guidelines, and response frameworks for AI (and other exponential technologies).
Last week, I said that we shouldn't slow down the progress of generative AI ... and I stand by that, but that doesn't mean that we shouldn't be working hastily to provide bumper rails to keep AI in check.
There are countless ethical concerns we should be talking about:
Bias and Discrimination - AI systems are only as objective as the data they are trained on. If the data is biased, the AI system will also be biased. Not only does that create discrimination, but it also leaves systems more susceptible.
Privacy and Data Protection - AI systems are capable of collecting vast amounts of personal data, and if this data is misused or mishandled, it could have serious consequences for individuals' privacy and security. The security of these systems needs to be managed, but also where and how they get their data.
Accountability, Explainability, and Transparency - As AI systems become increasingly complex and autonomous, it can be difficult to determine who is responsible when something goes wrong, not to mention the difficulty in understanding how public-facing systems arrive at their decisions. Explainability becomes more important for generative AI models as they're used to interface with anyone and everyone.
Human Agency and Control - When AI systems become more sophisticated and autonomous, there is fear about their autonomy ... what amount of human control is necessary, and how do we prevent "malevolent" AI? Within human agency and control, we have two sub-topics. First, is job displacement ... do we prevent AI from taking certain jobs as one potential way to preserve jobs and the economy, or do we look at other options like universal basic income. We also have to ask where international governance comes in, and how we ensure that ethical standards are upheld to prevent misuse or abuse of the technology by bad actors.
Safety and Reliability - Ensuring the safety and reliability of AI systems is important, particularly in areas such as transportation and healthcare where the consequences of errors can be severe. Setting standards of performance is important, especially considering the outsized response when an AI system does commit an "error". Think about how many car crashes are caused by human error and negligence... and then think about the media coverage when a self-driving car causes one. If we want AI to be adopted and trusted, it's going to need to be held to much higher standards.
These are all real and present concerns that we should be aware of. However, it's not as simple as creating increasingly tight chains to limit AI. We have to be judicious in our applications of regulation and oversight. We intrinsically know the dangers of overregulation - of limiting freedoms. Not only will it stifle creativity and output, but it will only encourage bad actors to go further beyond what the law-abiding creators can do.
If you want to see one potential AI risk management framework, here's a proposition by the National Institute of Standards and Technology - it's called AI RMF 1.0. It's a nice jump-off point for you to think about internal controls and preparation for impending regulation. To be one step more explicit ... if you are a business owner or a tech creator, you should be getting a better handle on your own internal controls, as well as anticipating external influence.
In conclusion, there is a clear need for AI ethics to ensure that this transformative technology is used in a responsible and ethical manner. There are many issues we need to address as AI becomes more ubiquitous and powerful. That's not an excuse to slow down, because slowing down only lets others get ahead. If you're only scared of AI, you're not paying enough attention. You should be excited.
Many of the people who read my blog, or are subscribed to my newsletter, are either entrepreneurs or in the financial space. While Charlie Epstein moonlights as an actor/comedian, his day job is in financial services. He's incredibly sharp, very knowledgeable ... and yes, a little quirky.
But that quirkiness is what makes him funny - so much so that you'll be captivated long enough to gain some real value. Charlie does an excellent job teaching people how to do practical things to ensure they have enough money when they retire to live a good life.
More importantly, he helps you think about your mindsets and what you truly want, so you can live the life you've always dreamed of and deserved. And even though I didn't think I needed to learn anything new, I gained a ton of practical value – and you probably will too.
As a bonus, half of the proceeds go toward supporting vets with PTSD.
There aren't many people (or "offers") I'd feel comfortable plugging, but this is one of them. As well, many of the other people I would put in front of you (like Dan Sullivan, Peter Diamandis, and Mike Koenigs) love Charlie as much as I do.
When I first got interested in trading, I used to look at many traditional sources and old-school market wisdom. I particularly liked the Stock Trader's Almanac.
While there is real wisdom in some of those sources, most might as well be horoscopes or Nostradamus-level predictions. Throw enough darts, and one of them might hit the bullseye.
Traders love patterns, from the simple head-and-shoulders, to Fibonacci sequences, and the Elliot Wave Theory.
Here's an example from Samuel Benner, an Ohio farmer, in 1875. That year he released a book titled "Benners Prophecies: Future Ups and Down in Prices," and in it, he shared a now relatively famous chart called the Benner Cycle. Some claim that it's been accurately predicting the ups and downs of the market for over 100 years. Let's check it out.
Here's what it does get right ... markets go up, and then they go down ... and that cycle continues. Consequently, if you want to make money, you should buy low and sell high ... It's hard to call that a competitive advantage.
Mostly, you're looking at vague predictions with +/- 2-year error bars on a 10-year cycle.
However, it was close to the dotcom bust and the 2008 crash ... so even if you sold a little early, you'd have been reasonably happy with your decision to follow the cycle.
The truth is that we use cycle analysis in our live trading models. However, it is a lot more rigorous and scientific than the Benner Cycle. The trick is figuring out what to focus on – and what to ignore.
Just as humans are good at seeing patterns where there are none ... they tend to see cycles that aren't anything but coincidences.
This is a reminder that just because an AI chat service recommends something, doesn't make it a good recommendation. Those models do some things well. Making scientific or mathematically rigorous market predictions probably aren't the areas to trust ChatGPT or one of its rivals.
Pornhub via Capitalogix Blog
Here Are Some Links For Your Weekly Reading - June 4th, 2023
Here are some of the posts that caught my eye recently. Hope you find something interesting.
Lighter Links:
Trading Links:
Posted at 09:49 PM in Business, Current Affairs, Gadgets, Healthy Lifestyle, Ideas, Just for Fun, Market Commentary, Personal Development, Religion, Science, Sports, Trading, Trading Tools, Web/Tech | Permalink | Comments (0)
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