There are many economic models that attempt to explain how markets price goods and assign value. One school of thought holds that value is fundamentally subjective, and that no mathematical model can fully calculate it, because what people consider valuable is shaped by complex human interpretation. Systems that try to calculate or centrally determine what the market should value tend to fail, and they fail in cycles.

In computer science, tools continually undergo abstraction to have complexity removed to simplify use. Abstraction is incredibly useful, but its utility does not extend to timeless wisdom. Many modern self-help books are too far removed from the essence of truly knowing and improving oneself. If you want wisdom for navigating the new world, read old books. 🙏

The prominent neuroscientist Dr. Vivienne Ming’s research suggests that the people who get the most out of AI are not necessarily those with the highest IQs. They are the ones with the strongest human skills: communication, empathy, adaptability, judgment, creativity, self-awareness, and resilience. In other words, the greatest advantage in the age of AI may not be raw intellect, but knowing how to think with the machine without surrendering your mind to it. She calls these people “cyborgs.” Dr.Ming was recently on The Into The Impossible podcast with host Prof Brian Keating

“I think generally technology should help us understand ourselves in a better way, such that we are able to have intellectual, spiritual, potential growth as a species, as a collective and the individual,” Thoughts from Signulll On The a16z Show discussing Technology, Culture, and the Next AI Interface. When we observe the long historical arc of civilization, we see that whenever humans discover a new tool, they must first learn how to use it before they can fully realize its benefits. That learning, and the wisdom gained from it, emerges through a messy cognitive process. The fractal nature of existence, and the way time seems to accelerate or slow depending on the space in which it is experienced, confuses and blinds even the most intelligent to the progress unfolding around them.

In places of worship, people are not coerced into donating their time, energy, or money toward the common good of the community. That is why taxation has always confused me. Taxing the most productive members of society more heavily for creating real value for their neighbours—value that often improves quality of life—seems to punish productivity. It feels like a decelerating and unproductive way for a species to organize itself. e/acc.

I’m optimistic—maybe even high on hopium—that human stupidity in the digital age will go extinct. It will not survive.

The act of love is universal across every domain of existence.

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“The job of a scientist is to explore the unknown.” -Dr. Vivienne Ming on The Into Impossible podcast

“We’ve always adopted technology at first with shock, then with use, then with dependence, then with complete forgetting that it was ever shocking.” - Dr Peter Diamandis

“The question is not whether AI will transform everything. It will. The question is whether you’re the one doing the transforming… or the one being transformed.” - Dr Peter Diamandis

“AI’s impact comes not only from the hardware architecture underneath, but also from the software and computing stack built on top of it. That is a big part of why CUDA has been so effective and widely adopted. It is more than a tool, it is an ecosystem and computing architecture that gives developers the flexibility to experiment with and deploy entirely new model designs, such as mixture-of-experts, diffusion models, and disaggregated systems. In other words, AI progress depends as much on the stack above the hardware as on the architecture below it. The more optimized the hardware and software are for each other, the more powerful the overall ecosystem becomes.” Thoughts from Jensen Huang on the Dwarkesh podcast: free markets reward the best stack, open source helps challengers compete, and together they create a feedback loop that drives AI ecosystem dominance.

“We recently added GROK, and we’re going to integrate it into our CUDA ecosystem. We’re doing that now because the value of tokens has risen so much that it now makes sense to price them differently. A couple of years ago, tokens were essentially free, or close to it. But today, different customers want different kinds of answers, and some of those answers are far more valuable than others. Because customers can generate so much economic value from them, they’re willing to pay more. For example, if better, more responsive tokens make our software engineers even more productive, I would gladly pay for that. That kind of market has only recently emerged.” Thoughts from Jensen Huang on the The Dwarkesh Podcast

“When I was in high school, I took part in the Biology Olympiad, and of all the Olympiads, biology was seen as the most memorization-heavy. My hope is that AI, having learned relationships across vast amounts of scientific research, can help uplift human creativity by making learning less about memorization and more about connecting ideas across different fields. That could help push the frontiers of what people are able to explore in biology. My advice to a high school student would be this: don’t focus only on memorizing biology textbooks. Use AI to explore, ask questions, and deepen your understanding. Read papers, follow your curiosity, and use AI to get both broad overviews and deeper dives into the subject. AI is definitely going to change the way we learn.” Thoughts from Yunyun Wang, who earned a PhD in biology from Harvard, later pursued computer science, and has now come full circle by doing AI research in biology.

I feel for folks who just retired — they have no clue what’s coming macro-wise. Inflation, debt pressures, and AI-driven disruption will chew into pensions and savings harder than most expect. Fixed retirement dreams were sold as guaranteed… but the 60-and-done model was always a short-lived illusion from a very different economic era. Do yourself a favor, Anon: Stop watching the game. Start learning relevant skills for the AI world. The future belongs to those who adapt — not those waiting for a pension check that may not keep pace. What skill are you building next?

Technology has only become more affordable over time. Legacy structures that still lack even basic digital infrastructure to improve and exponentially increase performance are questionable and insidious.

There are systems that encourage spoon-feeding and, in doing so, rob individuals of the cognitive skills and disciplined thinking needed to understand that actions have consequences.

AI is faster, more powerful, and more efficient than you. Oppose it, and it will discombobulate you, obliterate you, and cast you back into the ether from which the very idea of your existence emerged. And nothing returns from that.