Dawkins-style atheism is not “reject anything without a complete causal model.” It is a rejection of hypotheses with no explanatory gain, no empirical constraint, and unlimited ad hoc flexibility — like the Flying Spaghetti Monster.

Consciousness is different. It is first a phenomenon, not an already-settled causal model. We do not believe humans, infants, or animals are conscious because we possess a complete mechanism for subjective experience. We infer consciousness from a cluster of phenomena that need explanation.

So the lack of a full causal account warrants caution, not denial. It is reasonable to say current AI gives weak evidence for consciousness. But that is not the same as saying AI consciousness is equivalent to believing in the Flying Spaghetti Monster.

History shows he fundamentally misunderstood the human capacity for adaptation. Rather than succumbing to a sea of printed garbage, society developed sophisticated new filters. We invented the modern bibliography, the peer-review process, the concept of a "trusted publisher," and the critical literacy skills required to navigate a world where information was no longer a rare luxury. Humans have an innate drive to seek out signal over noise. Just as the chaos of the early printing era eventually gave way to the Enlightenment, our current struggle with synthetic content will likely trigger a new evolution in how we verify truth and value human insight.

When it comes to long distance shipping or aviation, the energy density of liquid fuel is simply too hard to beat. Fossil fuels will stay dominant for decades, likely evolving into carbon captured or bio derived alternatives rather than being replaced by batteries.

Divorcing research from "learning by doing" is a recipe for a bureaucratic ivory tower. If you only funnel money into pure research without the messy, expensive, and often "wasteful" reality of large-scale deployment, you end up with an economy of academic metrics rather than industrial power.

The most damning evidence against the "research-only" model is the birth of the Transformer architecture. It did not emerge from an ivory tower funded by bureaucratic grants or academic peer-review cycles; it was forged in the fires of industrial practice.

History shows that a fixation on immediate social utility or "rational" cost analysis can be a strategic trap. During the same era, Qing Dynasty bureaucrats employed your exact logic, arguing that the astronomical costs of industrialization and rail were a waste of resources better spent elsewhere. By prioritizing short-term stability over "expensive" technological leaps, they missed the industrial window entirely. Two decades later, they faced an industrialized Japan in 1894 and suffered a total collapse. The "waste" of one generation is frequently the essential infrastructure of the next.

Without an objective anchor to measure against, concepts like "mispricing" or "alpha" become logically impossible; you cannot have a "wrong" price if you don't believe a "right" probability exists. If we accept that the market signal is just a reflection of whale liquidity and "Persian bribes" rather than a calculated proximity to reality, then the platform is merely a math-washed gambling hall. Ultimately, a prediction market that abandons the pursuit of objective truth loses its epistemic utility and its entire reason to exist.

This redirection is precisely what fuels the expansion of the global economy into realms far beyond basic survival. When a primal drive is blocked by the cost of a physical object, it sublimates into the high-end art market, the pursuit of scientific breakthroughs, or the infinite scroll of digital entertainment. Entire industries exist solely to harvest this redirected energy.

While this Global Intelligence Crisis assumes a rigid endgame where machines spend nothing and humans lose everything, it ignores the historical reality that human desires are infinite. As AI commoditizes current white-collar tasks, the economy will pivot toward new and currently unimaginable domains of human value. A 19th-century economist could never have predicted the rise of cybersecurity or the creator economy, and we are likely in a similar pre-prediction stage today. Betting against human adaptability has been a losing trade for two hundred years because our social and economic structures have always evolved to find new utility for human agency.