The collapse of FTX shows how easily crypto is manipulated and the “crypto ecosystem” is fundamentally driven by centralized players and not any true form of decentralized or digital assets. Cryptocurrency is a sideshow and benefits no one other than speculators hoping for a greater fool. However, the combination of digital asset regulation, central-bank cooperation, and distributed assets via decentralized platforms still represents one of the most intriguing opportunities, and, with the potential disruption of global finance, one of the most exciting investment areas today.
A new vision for artificial intelligence is using smaller more relevant data sets for dynamic learning generating more effective outcomes and better predictions. This model uses cognitive architecture, learns, transfers learning, and retains knowledge – enabling more valuable and compelling artificial intelligence applications. This approach is more closely related to the brain’s actual structures and much more effective than “neural networks,” which is a catchy name but the similarity to the brain’s actual functioning is in name only. Real advancement in artificial intelligence must live in reality, not theoretical marketing. The current state of artificial intelligence shows the shortcomings of big data and trial-and-error approaches. A new AI vision can be a more effective solution. Smaller data sets, more relevant information, dynamic data, and algorithms will lead to more appropriate outcomes, better tools, and more effective applications.
Predictions usually end up being nonsense. We simply draw a trajectory from what we know today. But innovation is a discontinuity. Things are unpredictable because innovation does not come from consensus thinking. It comes from small groups and individuals with a spark of entrepreneurship, intelligence, and vision.
One of the fundamental tenets of predicting technology is that most forecasters get things spectacularly wrong.
The rewards for innovative success have become enormous and unpalatable, especially among the five technological giants (Amazon, Apple, Facebook, Google, and Microsoft) forcing these firms to spend absurd amounts of money on lobbying in Washington DC. It’s an expensive and wasteful distraction, but essential in this brave new world. If nothing else, it clogs innovation. It is to our detriment – and the world is literally burning while politicians fiddle – and even more disastrously – impede innovative activity. Applying friction to free thinking and new ideas never ends well.
Brilliance combined with quirkiness and rule-breaking perpetuates an image of daring entrepreneurs and risk-taking capitalists generating outsized wealth. This simply doesn’t happen unless what is created matters. While we might question how much one needs to play a videogame or interact with social media, an advanced society needs advanced solutions to the intractable problems it faces. As John F. Kennedy said, “Our problems are man-made, mankind can solve them, as well.” Perhaps. The harsh reality is that brilliant, hard-working entrepreneurs and thoughtful investors lose much more often than they win. We need their risk-taking and willingness to lose. It’s how we win. We need the benefits technological innovation delivers even if we don’t understand that innovation’s ultimate purpose.
Remarkable things can happen. Or not. Can we solve climate change, food shortage, limited healthcare, and other global stresses – all with TikTok videos? Innovation is unpredictable and astonishing – it can address the world’s most critical issues today, from hunger to efficient energy, to devastating diseases. It is also too often misguided, inefficient, and meaningless – creating nothing more than distractions and wastes of time cloaked in an image of technological wonder. Misguided and manipulative business plans sit alongside the groundbreaking disruptions that may address society’s most significant problems. We don’t have time. Even though there is no clear argument for resources going to a new video-sharing platform or immersive game, that is beside the point. Technology delivers something, nothing else can. It is the only way to find solutions to otherwise intractable and potentially devastating global crises. . The freedom to pursue solutions is the essential first step. Letting the best people do their best is still the best policy. It will also generate the best outcome.
A new vision for artificial intelligence is using smaller more relevant data sets for dynamic learning generating more effective outcomes and better predictions.
This model uses cognitive architecture, learns, transfers learning, and retains knowledge – enabling more valuable and compelling artificial intelligence applications. This approach is more closely related to the brain’s actual structures and much more effective than “neural networks,” which is a catchy name but the similarity to the brain’s actual functioning is in name only. Real advancement in artificial intelligence must live in reality, not theoretical marketing.
Cryptocurrency staying power has certainly been challenged these last few weeks. There is been a general market drop (even correction), but crypto has been collapsing in value and, to many, is in a death spiral. Of course, reality is more nuanced, and with more detailed analysis, a broad brush hardly seems appropriate. Certainly, the weakest and, honestly, craziest portions of the crypto world have been exposed to be nothing more than silliness. But some components remain resilient. The market is quite effective at sorting the specifics of an otherwise overgeneralized sector. There is no such thing as “crypto.” There are stable and valuable digital assets, globally exchangeable and disruptive. Others have nothing but fluff. Of course, government should insist on more reliable information, and institutions should guard more effectively against fraud. But, there is wheat among the chaff, and it continues to have the potential to be disruptive, create substantial value, and enhance global prosperity.
Recently, I gave a lecture at a graduate program focused on innovation, technological disruption, and the impact on global industries and investment opportunities. My lecture focused on digital assets and attempted to draw distinctions between disruptive and substantial opportunities and hype, nonsense, and unsustainable business models. This is a quiz given to the students that reflects the main points raised in this lecture. For fun, I am including it here because it makes a series of fundamental points that I think are especially important, and the true-false construct conveys those points with clarity.
Transformation, or euphemistically, “disruption,” creates great opportunities to capture newly created wealth. But, as industries are transforming and strategic disruption is occurring, quite a lot of absurdity and certainly enough terror are associated with some of these extraordinary opportunities to require much greater analysis and understanding. There are extraordinary risks associated with anything disruptive and transformational. The first disruptor isn’t always the one who creates the most value or is even a sustainable competitive entity. Innovation does not mean competitive sustainability. Digital platforms, ranging from the internet to digital assets and cryptocurrency are transforming industries globally. But, along with that comes a lot of hyperbole and typically that is followed by very little substance. Great companies use technological disruption, innovation, and transformation to establish themselves and thrive. But they rarely last. Every company, even the most valuable companies such as Apple, Apple, Amazon, Facebook, Netflix, etc. must dynamically transform to stay competitive and valuable. Transformations are certain. New entities will become very valuable, legacy companies will diminish, and a handful will transform and thrive. Transformation and sustainability create and capture great wealth, but are far more challenging to identify, and even more challenging to sustain.
