Almost a year ago I described the concept of γσ-machines (gnosio-machine). It was months before the rise of ChatGPT and the emergence of LLMs and other AI algorithms across productivity and collaboration tools. But since then, I thought I needed a practical example that illustrated it. And here we go:
Every major corporation has four types of innovators: those who await, those who bite, those who act, and those who alarm.
The avatar, being a continuation of a specific person within the company or outside it (including in the NPC format for other environments), becomes partially autonomous.
As a renaissance of chatbots, we note not only the phenomenal ChatGTP success but also a significant shift in the interaction paradigm from scripted flow to exploration. Text as an interface is alive again.
You are waiting for the Metaverse to kick off but it has already spread its tentacles deeper than you think!
From a relatively small set of applications, Zuckerberg’s dream, and crypto-adepts' attempts to change their shoes into the web3, the Metaverse is gradually turning into a multi-layered structure that penetrates different spheres of life.
Regardless of which metaverse you believe in, as long as it is played (?) or lived (???), people will interact with the physical world, breaking out of the matrix at least to satisfy their needs.
The Metaverse beckons and seduces, awakening in you either the fear of missing out (FOMO) or the hope for exponential growth in a new continent of opportunity. But for now, all this is tales from the Internet and experiments for the Kunstkammer.
Consumers experience fragments of the metaverse in their everyday lives in waves of media interest and news flashes and begin to carry their own experiences into the work environment. What could go wrong? 😏
The discussion around the Metaverse goes up and down, sofa experts battle Zuckerberg's sand castle, and consumers are afraid of the coming future of the "Black Mirror" series.