(Actually tricky since Big Tech is already not distributing models on some continents because of regulations there, or is sanctioning hardware sales. The innovation argument persists. So training is significant if the new waves are to find opportunities. In any case, democracy if not capitalism was supposed to proceed from the ground up rather than top-down like socialist or communist media. The internet is an interesting precedent that AI may exploit. However other analyses have not yet found a solution to inequality. Hence references to Marxist predictions about automation. These seminars do appear to appeal to competition for ideas on cooperation, so they fit evolution. Still, will it be determinism or discovered domains? Or yet another port of doom.
"a licence not to" -- Mallory to C, Spectre.
Then again, tell it to Double Who.)
YouChat GPT-4 Summary:
The video features Reid Hoffman, co-founder of LinkedIn and Inflection AI, discussing various aspects of Artificial Intelligence (AI) and its impact on the digital economy. Here are the main points:
AI and the Digital Economy: Hoffman compares the potential of AI to a cognitive industrial revolution, emphasizing its ability to amplify human capabilities. He also highlights the importance of AI in various sectors, including education and healthcare.
AI Investments and Blitzscaling: Sharing his experiences in investing in AI companies, Hoffman emphasizes the importance of continuous learning, embracing chaos, and being prepared for rapid changes in leadership and organizational structure during periods of explosive growth.
Open Sourcing AI: While acknowledging the benefits of open sourcing for academic and entrepreneurial purposes, Hoffman expresses caution due to the potential for misuse by bad actors. He stresses the need to consider the potential negative impacts.
AI and the Future of Work: Hoffman discusses the potential impact of AI on the future of work. He suggests that while AI may replace certain tasks, it will also create new opportunities and transform existing jobs. He emphasizes the importance of being able to use AI in the future job market.
AI Policy and Regulation: Hoffman discusses the need for effective policy and regulation in the AI sector. He suggests that regulators should focus on defining desired outcomes and creating a learning ecosystem. He also highlights the importance of considering societal impacts when developing AI technologies.