AI Changing White-Collar Work, Moats in Machine Learning, Disrupting the Media Business, and the Inevitability of AGI
AI Changing White-Collar Work, Moats in Machine Learning, Disrupting the Media Business, and the Inevitability of AGI
AI Bytes: Volume CI, Issue #16
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READING
III. Generative AI Is Already Changing White-Collar Work as We Know It
Generative AI is rapidly changing white-collar work, according to a panel of executives at the WSJ Jobs Summit. A new study suggests most jobs will be changed in some form by generative pretrained transformers, or GPTs, which use machine learning to generate any kind of text. However, executives stress that AI cannot replace a human touch, and workers should embrace new technology to free them from less-rewarding work and augment their strengths. Workers and employers should invest in retraining and upskilling where possible to adapt to the rapidly evolving role of AI in office work.
It’s important to develop moats in the field of generative AI as startups seek to stake out their market against incumbents like Microsoft and Adobe. While capital and technical expertise currently provide a competitive advantage, long-term usage will be the enduring moat, as machine learning systems benefit from more use and researchers observe improved model performance with increased usage. The link between innovation and distribution in generative AI is more users leading to a better product and vice versa.
I. How AI Changes the Media Business
AI is disrupting the media industry by dramatically reducing the cost of content creation and improving recommendation systems. As a result, media companies will need to compete on social dimensions and community building to win the future. It’s possible AI will smash creation and aggregation into each other, leading to a world of personalized content and the death of middle-man information producers.
LISTENING
II. David Deutsch and Naval Ravikant — The Fabric of Reality, The Importance of Disobedience, The Inevitability of Artificial General Intelligence, Finding Good Problems, Redefining Wealth, Foundations of True Knowledge, Harnessing Optimism, Quantum Computing, and More
Artificial intelligence (AI) vs. artificial general intelligence (AGI) - AGI is people! But how do we ensure it’ll be good people? What’s taking AGI so long to get here?
I. Eliezer Yudkowsky: Dangers of AI and the End of Human Civilization
Eliezer Yudkowsky is a researcher, writer, and philosopher on the topic of superintelligent AI.
WATCHING
I. Fireside Chat with Clement Delangue of Hugging Face
Topics include origin of Hugging Face Open source AI, how the LLM world evolves, AI research, and AI startups.
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AI Tool Tracker
I’m sharing a Notion page with the various AI tools I’ve been trying out. You can access it here.