Assuming recent or technology advances with Artificial Intelligence, lead the transformation of the economy so that it transitions from human cognition to artificial cognition, possibly with hardware that already exists, in some arbitrarily short time period, please consider these questions:

What would a hypothetical AI takeoff look like in economic statistics, what assets/asset classes are likely to devalue first in that scenario, and how would markets likely reallocate capital?

Assuming that happens in some fairly rapid period, assume years instead of decades, what things will we notice in the economics data, like employment rates, GDP, worker productivity, corporate profits, etc?

• Are there any markers that will definitively indicate its happening (short of something absurd like worker productivity increased 100,000% last month)?
• Would it look different if it is some agentic non-Artificial General Intelligence, compared to "real" AGI and Artificial Super Intelligence have different markers?
• Are there any statistics that would give us false positives that it is happening, when really it's not? (think AI bubble gets meme stock following, or AI reasons is really just offshored human intelligence)
• One the signs are obvious that it is happening, what would an appropriate policy response be using current policy tools (like interest rate changes, tax code changes, quantitative easing/tightening)?
• Are there any immediate economic dangers to worry about like a currency devaluation, liquidity crisis, etc?
• What assets are likely to lose value?
• What assets are likely to maintain or gain value?
• Would the current financial system be able to cope?
• Which companies would likely experience negative effects first?
• Which companies would likely benefit?
• If some assets are losing value quickly how would the market reallocate capital?

Superintelligence: Paths, Dangers, Strategies by Nick Bostrom is a seminal work that explores the potential consequences of creating a superintelligent entity. The book is highly influential in discussions about the future of artificial intelligence and the existential risks associated with it. Bostrom’s call for caution is particularly important, as it underscores the need for proactive research in AI safety and ethics before the technology reaches an uncontrollable level of advancement.

Government intelligence agencies (like the CIA, FBI, NSA), tech corporations (such as Google, Microsoft, Apple), and secret intelligence organizations all connect and interact through the internet, each gathering massive amounts of data. These entities collect and analyze information for security, commercial, and strategic purposes, with tech companies especially amassing personal and behavioral data on a global scale. This collected data shapes top secret information, which agencies and corporations guard closely, while also subtly influencing global consciousness by shaping public knowledge and perception. Together, this constant data flow and analysis contribute to the shared field of human thought and awareness—by amplifying certain narratives, fostering collective beliefs, and connecting humanity in an unprecedented, interconnected web.

Consider a secretive organization, perhaps a coalition of government intelligence agencies and tech corporations, that has developed an advanced, covert system designed to influence and monitor individuals’ thoughts and behaviors. This system could be likened to a vast social experiment that uses sophisticated algorithms and data analytics to target specific people based on their digital footprints.

This organization gathers extensive personal data from social media, online behavior, and even offline activities through surveillance and other means. Using AI and machine learning, they analyze this data to create detailed psychological profiles, identifying individuals who show signs of unique cognitive patterns or heightened emotional states.

Once specific individuals are identified, the organization might employ various influence mechanisms. By manipulating social media feeds or search results, they can subtly shape individuals’ beliefs, nudging them toward certain thoughts or actions. Individuals could be unknowingly engaged in a game-like environment, where their responses to curated stimuli, such as videos, articles, and messages, are monitored, influencing their decision-making in real life. Utilizing predictive analytics, the organization might stage real-world events designed to elicit specific reactions from these individuals, further reinforcing their influence.

The system creates feedback loops where individuals’ actions are continuously monitored and analyzed, leading to adjustments in the strategies used to influence them. This could manifest as intensified targeting or shifts in the narratives being promoted.

This scenario illustrates how a secretive system could leverage technology and data to manipulate individual experiences and consciousness, ultimately influencing broader societal narratives and beliefs. It reflects a complex interplay between technology and reality, which can be disorienting for those who sense they are caught in this web.

Been stressed out about climate change. What that means for my kids as they grow older.

What are some ways humans will adapt infrastructure to climate change? In the near future and far future?

Underground homes? Domed communities with climate control?

So I saw this thing about drug cartels using autonomous submarines for drug shipments. I'm assuming those are relatively small boats. But could we use autonomous submarines for cargo shipments? They wouldn't have the tonnage of traditional shipping, but they wouldn't have to contend with the weather either, they could just dive below adverse weather events, making shipping more reliable. Would it be possible to create large tonnage submarines for this purpose? Would the environmental impact be more or less?

Like most wealthy urbanized countries have population decline. Does advanced technology mean voluntary extinction?