The Cognitive Revolution

The Cognitive Revolution explores the forefront of AI technology and its societal impact, through interviews with innovators in the field. It covers AI's potential in science, art, identity, ethics, and the economy, addressing both technical advancements and philosophical questions surrounding AI's role in future human endeavors.

AI Development and Ethics AI in Science and Research AI Tools and Applications AI's Impact on Art and Beauty Cultural Perspectives on AI Safety and Regulation in AI AI in Medicine AI and Human Interaction Visual Data Processing Economic and Job Market Transformation by AI AI in Content Creation

The hottest Substack posts of The Cognitive Revolution

And their main takeaways
255 implied HN points 15 Apr 23
  1. GPT-4 may not be able to do scientific experiments independently.
  2. A recent paper suggests GPT-4 can assist in scientific research like designing protocols and carrying out tasks.
  3. While AI can accelerate productivity in science, humans are still needed for innovative breakthrough ideas.
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39 implied HN points 21 May 23
  1. The newsletter explores AI solutions for health systems through interviews with experts in the field.
  2. The importance of AI in transforming medicine into a more data-driven practice is highlighted.
  3. Insights are provided on how AI can better inform physician decision-making and patient care.
39 implied HN points 05 Apr 23
  1. The Open Letter from The Future of Life Institute urges AI labs to pause for at least six months in training AI systems more powerful than GPT-4 to develop safety standards.
  2. Different experts have varying perspectives on the necessity and benefits of pausing AI development, with concerns about potential risks of superhuman intelligence.
  3. There is caution and optimism regarding the deployment and potential dangers of scaling GPT-4, emphasizing the need for extreme caution and consideration of risks and benefits.
19 implied HN points 15 Mar 23
  1. The future of AI involves processing visual data through language models like Google's Flamingo and utilizing options such as image captioning, VQA, OCR, tagging, and aesthetics.
  2. AI can evaluate image aesthetics to improve user experience, sales, and platform aesthetics, with tools like proprietary models from Everypixel and open-source models like LAION.
  3. Established companies should prioritize user needs over building their own models, focusing on delivering the best solutions, reducing costs, and being adaptable to market changes.
19 implied HN points 08 Mar 23
  1. Anton Troynikov believes humanity won't die from AI, but worries about destabilizing effects of new media technologies
  2. Nathan Labenz discusses OpenAI's pricing drop on ChatGPT API and its implications
  3. Notable quotes from the interview with Anton Troynikov about Chroma and machine learning models
19 implied HN points 01 Mar 23
  1. AI is rapidly advancing in various areas like text generation and language models, shaping our future.
  2. AI could revolutionize the job market with increased freelancing, entrepreneurship, and individual leverage.
  3. There are differing opinions on the implications and future of AI, from transformative impacts to skepticism about its actual productiveness.
0 implied HN points 06 Feb 23
  1. The Cognitive Revolution is launching a new AI podcast and newsletter.
  2. The podcast will be hosted by Nathan Labenz and Erik Torenberg.
  3. Episode 6 of Moment of Zen features a preview of The Cognitive Revolution podcast.