Knowledge Maturity, AI Feasibility, AI Cost

I get to see #AI investments, and get asked if they are enough. Here's one sanity check: the lower the investment, the more structured knowledge you need about the problem that #AI will be solving. #AIeconomics pic.twitter.com/4mkqPxTyCt
— ivanjureta (@ivanjureta) January 26, 2018
In the creator economy, the creative individual sells content. The more attention the content captures, the more valuable it is. The incentive for the creator is status and payment for consumption of their content. Distribution channels are Internet platforms, where content is delivered as intended by the author, the platform does not transform it (other…
We should reduce the cost of authorship and create an incentive mechanism that generates and assigns credibility to authors in a community.
A “Requirements Loop” is an evidence-supported explanation of How observed events in an environment have led or are leading to the creation and persistence of those requirements, How to change the environment in order to satisfy the requirements in the future, and How to measure the change in the environment, in order to evaluate the…
The short answer: careers that reward creative problem solving in domains with scarce knowledge. Let’s unpack that.
If there is a market for AI training datasets, then the price will be determined by supply and demand. How does the supplier set the price, and how does the buyer evaluate if the price is right? The question behind both of these is this: how to estimate the value of a training dataset? We…
There is no single definition of the term “evidence”, and trying to make one isn’t the purpose of this text. But there are ways of telling if something might be evidence, and knowing when it clearly isn’t. Such knowledge helps you develop a taste, so to speak, in evidence. Isn’t that valuable, given how frequently you may be giving evidence to support your ideas, and how frequently others do the same to you?