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Jaron Lanier Looks into AI's Future | AI IRL

Bloomberg Originals・2 minutes read

Jiren Laner, a key Silicon Valley figure, pioneers virtual reality but now criticizes the industry, emphasizing AI transparency and better governance. He warns against open-source models leading to monopolization, advocates for data dignity, and highlights the threat of deep fakes, calling for regulation and balance in tech companies.

Insights

  • Jiren Laner, a prominent figure in Silicon Valley, transitioned from pioneering virtual reality to critiquing the industry, emphasizing the importance of understanding AI's origins and advocating for a more transparent approach to governance and data dignity.
  • Laner's insights highlight the potential dangers of open-source AI models, the impact of advertising-dependent business models on tech companies, and the necessity of regulating AI to combat deep fakes and ensure a balance between free speech and societal well-being within the industry.

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Recent questions

  • Who is Jiren Laner?

    Jiren Laner is an OG Silicon Valley figure known for his work in virtual reality in the '80s, selling companies to Google, Adobe, and Oracle, and currently working at Microsoft.

  • What does Jiren Laner criticize about the tech industry?

    Jiren Laner criticizes the industry's lack of understanding of AI's origins and emphasizes the importance of demystifying them.

  • What concept does Jiren Laner introduce regarding AI governance?

    Jiren Laner introduces the concept of "data dignity," proposing compensation for individuals whose data contributes to training AI models.

  • What does Jiren Laner warn about the open-source model in AI?

    Jiren Laner warns that the open-source model in AI can lead to monopolization rather than decentralization, negatively impacting the industry.

  • What does Jiren Laner express concerns about regarding chatbots?

    Jiren Laner expresses concerns about the impact of chatbots on democracy, emphasizing the need for caution and awareness of potential risks.

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Summary

00:00

"Jiren Laner: AI Critic Turned Pioneer"

  • Jiren Laner, an OG Silicon Valley figure, was a pioneer in virtual reality in the '80s, selling companies to Google, Adobe, and Oracle, now working at Microsoft.
  • Laner has become a critic of the industry he helped build, emphasizing the need to understand AI's origins rather than keeping them mysterious.
  • Laner, a prime unifying scientist at Microsoft, humorously combines his title with the Chief Technology Officer to form "octopus," reflecting his interest in neurology.
  • Laner's career began with Marvin Minsky, a key figure in AI, but Laner disagreed with the concept, leading him to focus on virtual reality.
  • Laner remains optimistic but believes criticism is essential for improvement, having been critical of social media and various industry practices.
  • Laner discusses the link between disinformation, advertising, and AI, emphasizing the importance of paying for quality AI to avoid manipulation.
  • Laner critiques the open-source model in AI, warning that it can lead to monopolization rather than decentralization, impacting the industry negatively.
  • Laner suggests a different approach to AI governance, focusing on tracking sources to improve AI outputs and incentivize contributors.
  • Laner introduces the concept of "data dignity," proposing compensation for individuals whose data contributes to training AI models.
  • Laner expresses concerns about the impact of chatbots on democracy, highlighting the need for caution and the potential risks involved.

14:23

Tech Companies' Business Models and Challenges

  • Many tech companies have made mistakes, and users have either allowed them or pushed back.
  • Tech Titans in the US have two main business models: advertising-dependent (Google, Meta) and non-dependent (Apple, Microsoft, Amazon).
  • Meta and Google are undervalued due to their business model, which should be more successful.
  • Deep fakes, generated by AI, pose a serious threat to disinformation, democracy, and social media.
  • Providence, ensuring data origin transparency, is crucial in combating deep fakes.
  • Regulation involving all tech companies, like Microsoft and Open AI, is necessary to address AI-related issues.
  • Balancing free speech within big tech companies is essential for societal acceptance and business success.
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