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).
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
Can Language Models Replace Compilers?
Don’t get your hopes up
Copyright, AI, and Provenance
The RAG pattern makes it possible to track authors’ contributions to AI-generated work
Strawberry Fields Forever
We don’t need AI to destroy the world.
Generative AI in the Enterprise
Creativity Isn’t Just Remixing
Make It New
Questions for 2024
Preliminary Thoughts on the White House Executive Order on AI
Why the White House should mandate more robust disclosures
Model Collapse: An Experiment
What happens when AI is trained on its own output?
Prompting Isn’t The Most Important Skill
It’s about the will to learn
Automated Mentoring with ChatGPT
AI can help you learn—but it needs to do a better job
Structural Evolutions in Data
What's next? Quite possibly: "more of the same."
The Real Problem with Software Development
It’s not writing code, it’s managing complexity
The next generation of developer productivity
The ChatGPT Surge
Why did searches for ChatGPT decline sharply in June and July?
Real-Real-World Programming with ChatGPT
Taking AI Far Beyond Small Self-Contained Coding Tasks
Teaching Programming in the Age of ChatGPT
How computing instructors plan to adapt to ChatGPT, GitHub Copilot, and other AI coding assistants (ICER 2023 paper)