Daniel Wentsch

New ideas do not come from the ether; they are based on existing concepts.

We have already outsourced the worst part of writing (checking grammar) and math (long division) to machines like spell checkers and calculators, which freed us from these tedious tasks. It would be natural to use LLMs to extend the process. And this is indeed what we have seen in some early research on using AI for work. People who use AI to do ta

Our new AIs have been trained on a huge amount of our cultural history and are using it to provide us with text and images in response to our queries. But there is no index or map to what they know and where they might be most helpful. Thus, we need people who have deep or broad knowledge of unusual fields to use AI in ways that others cannot, deve

I am only human, and in writing this book, I often found myself stuck. In previous books, that could mean a single sentence or paragraph would block hours of writing, as I used my frustration as an excuse to take a break and walk away until inspiration struck. With AI, that was no longer a problem. I would become a Cyborg and tell the AI: I am stuc

To-Do List as a Menu

📝 If you feel overwhelmed by your to-do list, try a new perspective:

• 🍔 Treat your to-do list like a menu. Instead of a list of chores you must complete, see it as a menu of options you get to choose from.


• 🤔 Acknowledge that you won't finish everything. This is a key part of shifting your mindset from overwhelmed to empowered.

AI is trained on vast swaths of humanity’s cultural heritage, so it can often best be wielded by people who have a knowledge of that heritage. To get the AI to do unique things, you need to understand parts of the culture more deeply than everyone else using the same AI systems. So now, in many ways, humanities majors can produce some of the most i

ChatGPT, without any specialized stock market knowledge, tended to outperform these more specialized models, working as a “powerful predictor of future stock price volatility.” In fact, it was the ability of the AI to apply more generalized knowledge of the world that made it such a good analyst, since it could put the risks discussed in conference

Meaning Systems

• 💡 Wittgenstein demonstrated that an evidentiary understanding of reality isn't enough.


• 💡 People create meaning systems with their communities.


• 💡 These meaning systems explain experiential reality.

Some were assigned to use AI and some were not. The results were nothing short of astonishing. Participants who used ChatGPT saw a dramatic reduction in their time on tasks, slashing it by a whopping 37 percent. Not only did they save time, but the quality of their work also increased as judged by other humans. These improvements were not limited t