The Dark Side of Technology: An Unfiltered Look by Jiren Laner

🌐Jiren Laner believes that the internet should no longer be mysterious and that we should know the sources and origins of information.

🔍Laner argues that AI governance is essential, and we need mechanisms to track and attribute the sources of AI outputs.

💸Laner suggests a data dignity model, where contributors of data are compensated and incentivized to improve AI models.

🎭He discusses the limitations of language and the challenges of AI in understanding context and avoiding misinterpretation.

🌍Laner warns about the concentration of power in AI systems and the need for a decentralized approach to avoid monopolies.

What is Jiren Laner's background in technology?

—Jiren Laner is among the OG Silicon Valley utopians and was a pioneer of virtual reality in the '80s. He has worked for companies like Atari, Google, Adobe, Oracle, and currently Microsoft.

What is the main concern of Jiren Laner?

—Laner is concerned about the lack of transparency in the internet and AI systems. He believes that knowing the sources of information is crucial in avoiding manipulation.

What is the concept of data dignity proposed by Jiren Laner?

—Data dignity is the idea that contributors of data should be compensated and recognized for their valuable contributions to AI systems. It aims to create a fair and beneficial ecosystem for data sharing.

What are the challenges of AI in understanding language?

—AI faces challenges in understanding the nuances and context of language. Words can be ambiguous, and misinterpretations can occur. Laner highlights the need for AI to accurately interpret and respond to user inputs.

Why does Jiren Laner criticize the concentration of power in AI systems?

—Laner believes that centralized AI systems can lead to monopolies, which can be controlled by a few powerful entities. He advocates for a decentralized approach to prevent abuse of power and ensure a more democratic AI landscape.

00:00Jiren Laner, a pioneer of virtual reality, discusses the dark side of technology and AI.

05:30Laner emphasizes the need for transparency and knowing the sources of information in the internet and AI systems.

10:15He proposes the concept of data dignity, where contributors of data are compensated and recognized for their contributions.

15:45Laner highlights the challenges of language in AI systems and the importance of accurate interpretation.

20:10He warns about the concentration of power in AI systems and advocates for a decentralized approach.