Notes at a Technological Threshold
Our world is about to undergo, and is already undergoing, a tremendous transformation. Below are a few short thoughts that do not quite add up to a formal essay.
Wasting Time Does Not Borrow from the Present, but from the Future
Admit that time has compound interest. Wasting time is not merely doing one less thing in the present. It is depriving the future of the same span of time for completing a task, and the latter is far more precious than the former. If indulgence does not bring rest or happiness, but leaves only numbness, then it is not only wasting the present. It is mortgaging the future.
In the Age of AI, Backing Up Metadata Matters More Than Learning Knowledge
In the age of AI, still managing knowledge by trying to remember the knowledge itself in the human brain is a foolish kind of diligence. The world has already become too large for one person to fit into a mind, and AI has sharply reduced the cost of calling up specific knowledge. To remain obsessed with hoarding content is merely to train oneself into an inefficient hard drive. What truly needs to be backed up is metadata: what something is, what problem it solves, where it is, which tool should be used, and what the judgment criteria are. Future learning is not about memorizing answers, but about making the index accurate. The human brain does not need to copy the world. It only needs to be able to reach the world calmly.
In the Early AI Era, Extending Traditional Higher Education Can Become a Negative Investment
In the early AI era, continuing to treat master's and doctoral study as the default channel of upward mobility may well be a negative investment. The issue is not whether a degree is useful, but how many of the scarcest years it consumes. When new production tools are changing the world, the risk of locking oneself into the old education chain is being badly underestimated. If a person can already coordinate AI, organize tools, and produce products and results, then the opportunity cost of the next few years may be too high for a traditional credential to recover. Five years from now, society will not lack another doctorate trained by the old education system. It will lack people who can turn new tools into real output. Refusing to observe the times and blindly extending one's education for the sake of a higher salary is a kind of laziness.
Should Memory Store Content, or the Weights That Regenerate It?
If memory only stores content, it soon becomes a garbage dump. There is too much content, and it changes too quickly. An archive of originals looks safe, but in practice it is heavy and clumsy. The interesting thing about AI lies precisely here: it does not stuff training texts into a warehouse one by one, but compresses traces into weights and regenerates content when needed. Humans, too, should hoard fewer originals and preserve more of the weights that regenerate content: conceptual relations, paths of retrieval, judgment criteria, and tool locations. This is not laziness. It is admitting that the brain is not a library. Good memory does not move the world into the house. It keeps the key to the door that leads back to the world.
"Manifestation": Does Sincerity Make It Work?
Difficulties will not automatically make way just because you stare at them.
