A review of What Is Life?: Evolution by Computation, and What Is Intelligence?: Lessons from AI about Evolution, Computing, and Minds, by Blaise Agüera y Arcas
A conversation with Blaise Aguera y Arcas (Google) and Michael Levin (Tufts University) about two recente papers on the computational foundations of life and intelligence.
A conversation with Maggie Jackson, author of Uncertain
Our newsletter includes our ideas, our research, and our reviews of the science as well as our picks from others. We send our newsletter once a week because we strive to slow the frantic pace of debates around AI, down-regulating the noise so you can see stories in context.
ChatGPT Will Never Work Like the Demo, AGI is a Red Herring, The Brittleness of Agentic Reasoning and Planning Using LLMs, Can LLMs Reason and Plan, How to Use Generative AI to Create, and more!
The Agentic AI Reoport, Graph RAG, Inside Anthropic's Claude, The Agentic Web, Karaitiana Taiuru and Indigenous AI, Weaving with Generative AI, and more!
OpenAI and Google Usher in The Intimacy Economy, Reasons You'll Need an AI Assistant—Even if You Don't Want One, Is AI The Cure for Male Loneliness, and more!
Apple's iPad Ad Disaster, AI Agents Webinar, Improving Your Prompts with Iterative Reasoning Techniques, AI & Accountability, and more!
An AI the Knows Absolutely Everything, Co-Agency and the Paradox of Autonomy, Google DeepMind on AI Assistants, State of AI Report, Omri Allouche from Gong, and more.
A Skeptic's Guide to How Cognitive Biases and Reasoning Errors Fuel AI Hype, Social Learning, The Hidden Cost of ChatGPT is the Erosion of the Digital Commons, and more.
AI & Scientific Discovery, Agentic AI, Intimacy & Transcendence, Susannah Fox, and more.
Generative AI is growing quickly as individuals, corporations, and investors all try to stay ahead. The rapid change is creating optimistic visions of the future while also creating significant anxiety as people justifiably worry about their role in a future of abundant intelligent machines
There is a lot of chatter about whether companies are realizing value from generative AI. Realizing value from generative AI will take time to prepare, capture, and create the data that allows generative AI to understand the context of our complex human lives.
Enterprises are failing to see enough value add to justify purchasing new generative AI systems like Microsoft CoPilot. Why? Adapting to AI is a complex change that requires different methods for evaluation and change management.
Apple + Google is possibly the most important corporate frenemy relationship today. How these two companies establish their positions in generative AI is critical to watch. But how they re-position their partnership to include generative AI might be one of the most important events of the year.
In traditional media, the role of technology has been largely to convey, distribute, or modify content created by humans. Generative AI, however, is different from any previous technology because it is creating the messages itself.
Writing and Conversations About AI (Not Written by AI)
