zlacker

I have a bit of AI fatigue around this wave of tools, but also understand why they are garnering so much attention. Many of the innovation hype categories of the past decade have appeared stuck in the 'early days but just wait...' phase. Self-driving cars, drone delivery, crypto as a currency, crypto as a(n) _____, plant-based meats, virtual reality, etc. While there has been great progress in each of these areas, not one has yet matched market demand with current capabilities in a way that enables it to become a 'game changer.'

To the general public, ChatGPT and the Image Generators 'just appeared,' and appeared in a very impressive and usable form. Of course there were many waves of ML advances leading up to these models, but for many people these tools are their first opportunity to play with ML models in a meaningful way that is easy to incorporate into daily life and with very little barrier to entry.

While impressive and there are many applications, my questions surrounding the new AI tools relate to the volume of information they are capable of producing and our capacity to consume it. Tools can be used to synthesize the information, tools can act on it, but there is already too much 'noise.' There is a market for entertainment tailored to exact preferences, but it won't provide the shared cultural connection mass media provides. In the workplace, e-mails and documents can be quickly drafted. This is a valuable use case, but it augments and increases productivity. It will lower the bar necessary for certain jobs, and it will increase productivity expectations, but it will become a tool like Excel rather than a replacement like a factory robot (for now).

The Art of Worldly Wisdom #231 - Never show half-finished things to others. <- ChatGPT managed it's release perfectly in this regard.