A Journalist's Guide To AI What is Artificial Super Intelligence and Will it Replace Us?
In this episode of "A Journalist’s Guide to AI," host Yumi Wilson dives into the evolution of artificial intelligence and what the future could look like as we move toward Artificial Super Intelligence (ASI). Yumi breaks down the three main stages of AI: Artificial Narrow Intelligence (ANI), which powers today’s AI tools like ChatGPT and is excellent at specific tasks; Artificial General Intelligence (AGI), theorized to match human flexibility and cross-domain reasoning but not yet achieved; and finally, ASI, a level where intelligence surpasses human capabilities in every way.
Yumi explains the technologies and advances needed to reach AGI and ASI, like multisensory AI, advanced neural networks, neuromorphic computing, and evolutionary algorithms. She discusses both the potential benefits, such as problem-solving, creativity enhancement, and reduced bias, and serious risks, including loss of control, economic disruption, and existential threats.
Throughout the episode, Yumi keeps journalism and media impact front and center, pondering what fully autonomous newsrooms and predictive journalism might mean for the profession. She stresses the importance of human responsibility, ethics, and staying informed as AI develops. Yumi encourages listeners to get involved, ask questions, and consider both the promise and perils of the AI-powered future.
(00:57) - What is Artificial Narrow Intelligence (ANI)?
(03:57) - Shoutout to SaaSpod (Podcast Production Partner)
(05:08) - Transition from ANI to AGI and ASI
(05:54) - What is Artificial General Intelligence (AGI)?
(08:05) - What is Artificial Super Intelligence (ASI)?
(11:43) - How Could We Get to ASI?
(19:00) - Benefits and Risks of ASI
(23:02) - Ethical Dilemmas and Considerations
(24:53) - Futurist Predictions (Ray Kurzweil & Others)
(27:09) - Current Developments & Global Competition in AI
(29:02) - Implications for Journalism & Media
(30:49) - Who Will Control ASI? Accessibility and Risks
(31:17) - Final Thoughts and Call to Engagement
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