The AI Longread

Willis' article invites us to reconsider our relationship with artificial intelligence and challenges the notion that human intelligence is the ultimate standard.https://www.linkedin.com/pulse/epilogue-philosophy-ai-john-willis-ha0ge/

Personal superintelligence is coming—will it empower people or replace them?Zuckerberg argues that superintelligence is within sight and should empower individuals—AI that knows your goals, lives in context-aware devices like glasses, and helps you create and connect. He contrasts this with a centralized push to automate all work, saying the coming decade will decide which path wins. He acknowledges safety and openness tensions, pledging rigor while aiming to share the benefits broadly.Listen now, or read the article at https://www.meta.com/superintelligence

Ethan Mollick's article simplifies the complex landscape of AI tools, recommending three primary systems—Claude, Google’s Gemini, and OpenAI’s ChatGPT—for MOST users. He emphasizes the importance of understanding these tools' features and provides practical advice on selecting the right model, utilizing voice mode, and leveraging Deep Research capabilities to enhance productivity.

The discussion dives into the cognitive effects of AI, weighing both fears and benefits. It highlights how wise usage can enhance learning rather than hinder it. There's a cautionary take on creativity, emphasizing the need for original thought before relying on AI. The balance between AI assistance and personal creativity is crucial, showcasing how technology can aid teamwork when integrated mindfully. Ultimately, fostering active engagement with AI is essential for a more thoughtful and innovative future.

In this episode, I read a two-part article series: "Most work is new work, long-term study of U.S. census data shows" and “Does technology help or hurt employment?” by Peter Dizikes Link to the original articles: https://news.mit.edu/2024/most-work-is-new-work-us-census-data-shows-0401 https://news.mit.edu/2024/does-technology-help-or-hurt-employment-0401

In this episode, I read select parts from the newly released book Co-Intelligence by professor Ethan Mollick. Check out the book on Amazon: https://www.amazon.com/Co-Intelligence-Living-Working-Ethan-Mollick/dp/059371671X

In this episode, I read "You can't build a moat with AI" by Vikram Sreekanti and Joseph E. Gonzalez. Link to the original article: https://generatingconversation.substack.com/p/you-cant-build-a-moat-with-ai Sam Altman “Two strategies” conversation on 20VC: https://www.youtube.com/watch?v=G8T1O81W96Y&t=0s Same Altman “GPT4 kind of sucks” conversation with Lex Fridman: https://www.youtube.com/watch?v=jvqFAi7vkBc

Author David Berreby discusses the environmental impact of AI technology on energy and water consumption. The podcast delves into the necessity of standards and transparency in measuring AI's environmental footprint, the potential for AI to reduce CO2 emissions, and the escalating water demands of AI-powered data centers.

Exploring the shift to an allocation economy with AI in the workforce, discussing the impact of language models on job roles and labor dynamics. Delving into the evolving role of programmers and managers in managing AI agents and models.

Professor Ethan Mollick, an expert in democratizing educational technology, discusses how prompts enable non-technical experts to leverage large language models for innovation. He explores the use of AI prompts in education for research-based exercises, customization, and knowledge sharing. The evolution of AI prompts towards autonomous prompting based on user objectives is highlighted, emphasizing the importance of collaboration with AI tools to foster innovation and equitable engagement in education.