- Open AI’s GPT-4o launch brought the Render Network to find an old gem.
- The project’s Founder and CEO, Jules Urbach wrote an article about AI growth 7 years ago.
- The article reflects on the possibilities of AI and the undisputed power of human creativity.
Open AI’s groundbreaking GPT-4o model launch unveiled technology that understands both audio and video. Additionally, it also detects emotion from voices. This incredible upgrade takes us back to Jules Urbach’s reflections from 2017 where the CEO and Founder of the Render Network and OTOY sheds light on the era of AI and where we are now entering.
In detail, the seven year old article titled ‘Life after Automation: The Rendering Economy’ opens with the creator of Star Trek, Gene Roddenberry’s optimism. An optimistic approach that he agrees with, using AI to improve our lives to create a world to help humanity, not replace it.
To highlight, Urbach’s reflections explore the profound shifts in the global economy. He reflects on how technological advancements are reshaping traditional paradigms. Using this he draws light to the rapid growth of the Internet, the rise of blockchain-based cryptos, and the impending era of AI-driven automation.
He then marks automation and its entry into the service economy where he anticipates significant disruptions to traditional employment structures that would prompt recalibrating value attribution to human labor and skills.
Despite this dark turn, Urbach emphasizes the importance of genuine human creativity, innovation, and imagination. He wants to welcome a future where human thought remains the fundamental currency, indisputable against autoimation of value. He called this the ‘Render Economy’, where human expression and collaboration are greatest above all else.
He then puts the spotlight on the Render Network and the RNDR Token. He says these are designed to facilitate the exchange of value in a decentralised and dematerialized world. By prioritizing human intent and authentication, the Render Economy will preserve the very essence of human creativity alongside technological advancements.
He concludes by saying the evolution of AI should not hinder the inherent value of human creation. After all, the worth of creativity comes from the fact that it is made by humans, for their work is what resonates with humans and the human expression shapes our collective experience.
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