AI & ML
Few technologies have the potential to change the nature of work and how we live as artificial intelligence (AI) and machine learning (ML).
Answers: Generative AI as Learning Tool
A look at what O’Reilly is building with AI
What We Learned from a Year of Building with LLMs (Part III): Strategy
What We Learned from a Year of Building with LLMs (Part II)
What We Learned from a Year of Building with LLMs (Part I)
Generative AI in the Real World: Andrew Ng on where AI is headed. It’s about agents.
To understand the risks posed by AI, follow the money
Generative AI in the Real World: Democratizing AI with Gwendolyn Stripling
Rising Tide Rents and Robber Baron Rents
The Replacement of Organic Search with Advertising by Google and Amazon and What That Might Mean for the Future of AI
Quality Assurance, Errors, and AI
Some Thoughts about Software Quality
AI Has an Uber Problem
How Silicon Valley’s Race for Monopoly Inhibits Product-Market Fit
Generative AI in the Real World: Competing in a Generative World with Justin Norman
Product Management for Generative AI
ChatGPT, Author of The Quixote
In the era of generative AI, copyright won’t be enough. In fact, it’s the wrong place to look.
Vacuum Tubes and Transistors
What can AI learn from the age of vacuum tubes?
Generative AI in the Real World: Pete Warden on Running AI on Small Systems
How to Make AI Useful on Consumer Devices
Corporate Responsibility in the Age of AI
AI doesn’t change basic ethical principles. But the scale at which it operates introduces new problems.
The OpenAI Endgame
Thoughts about the outcome of the NYT versus OpenAI copyright lawsuit
Generative AI in the Real World: Chip Huyen on Finding Business Use Cases for Generative AI
Why Is Generative AI different from other AI?
I Actually Chatted with ChatGPT
Assessing the Usability of Voice Interfaces to Large Language Models