The AI Wars

The AI Wars

The announcement of a $500 billion commitment to building AI infrastructure in the United States, is another major salvo in the AI wars. At this point, it’s hard to distinguish whether this is just hyperbole from hyperventilating technology executives or something with real substance.

But, more importantly, it indicates an agenda to “win” in artificial intelligence. OpenAI, Softbank, and others are pushing the narrative to “beat China” and align themselves with the Trump administration. Fundamental is a belief that such a race exists, the US can gain advantage by dedicating computer resources, and it’s worth winning at all costs – whatever that means.

Unfortunately, computer resources don’t define a sustainable advantage anymore. A decoupling of resources and cooperation between the United States and China have forced the Chinese to develop near-equivalent models while using only a fraction of resources. bigger data centers, substantial computing resources, and overwhelming numbers of GPU production won’t win this arms race.

It’s A Zero-Sum Game That Amounts to Nothing.

A New Perspective on AI

A New Perspective on AI

AI is not a data problem; it is a cognitive architecture problem. Data and computing power will become insurmountable hurdles for transformer-based models. A new generation of AI models requires fundamental breakthroughs. Large data models can’t learn, transfer knowledge or understanding, understand the relevance, or use analogous learning to transfer that relevance and predict. Current AI models require massive and increasing data and learn from reinforcement. This cannot scale and is massively inefficient. Real learning based on cognitive architecture, focused dynamic data, and referential data sets is a better solution. This is closer to real human learning, more effective and efficient, and offers a significantly better solution. Understanding the natural learning process — referential and analogous data, categorization, transferring and building upon that data, and creating knowledge applicable to new situations — learning builds upon itself and is exponentially effective. That is the real AI solution.

Globalization Under Threat

Globalization Under Threat

The paranoia is building. From the CHIPS Act to proposals for absurdly high tariffs (60% on goods from China isn’t going to help anyone) to banning TikTok, the world is on the verge of reversing decades of progress and exchanging real progress for delusionary gains.
Efforts to localize production and economic development with vast government subsidies are being proposed or enacted in the United States, the EU, China, India, and any other economic center that can think of it.
Hiding behind walls has never worked and makes life worse for everyone.

Reality and the Crypto Crash

Reality and the Crypto Crash

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.