Showing posts from September, 2023

We are on the cusp of AI developing traits or adapting in the same way living organisms do through evolution.

Mothwing patterns, often including structures resembling “owl eyes,” are a prime example of nature’s adaptation to survival. Mothwing eyes are intricate patterns that have evolved over millions of years through a process of natural selection. Initially, moths developed cryptic colouration to blend into their environments, evading predators. Over time, some species developed wing scales with microstructures that reduced light reflection, helping them remain inconspicuous. These structures eventually evolved into complex arrays resembling the texture of eyes to deter predators, a phenomenon called “ eyespot mimicry .” This natural error-creation adaptation likely startled or confused predators, offering those moths an advantage — precious moments to escape. The gradual development of these eye-like patterns underscores the intricate interplay between environmental pressures and biological responses, resulting in the remarkable diversity of moth wing patterns seen today. Critically, moth

The unintended consequence of data is to introduce delay and increase tomorrow's risk.

The (un)intended consequence of focusing on data, looking for significance, determining correlation, testing a hypothesis, removing bias and finding the consensus is that you ignore the outliers.  Hidden in the outliers of data are progress, innovation, invention and creativity, and the delay is that by ignoring this data and the signals from it, we slow down everything because we will always be late to observe and agree on what is already happening with those who are not driven by using data to reduce and manage today's risk.  Our thrust to use data to make better decisions and apply majority or consensus thinking creates delays in change and, therefore, increases future risk.  ------ In our increasingly data-driven world, the unintended consequence of data often manifests as delay. While data is hailed as the lifeblood of decision-making, its sheer volume and complexity can paradoxically slow down processes, hinder innovation, and impede productivity. This phenomenon underscores