Letters
Learn the Language of Software: AI won’t kill programming. There has never been a better time to start coding.
Some people today are discouraging others from learning programming on the grounds AI will automate it.
Technical Insights
Letters
Wait Your Turn! Conversation by Voice Versus Text: Text interactions require taking turns, but voices may interrupt or overlap. Here’s how AI is evolving for voice interactions.
Continuing our discussion on the Voice Stack, I’d like to explore an area that today’s voice-based systems mostly struggle with: Voice Activity Detection (VAD) and the turn-taking paradigm of communication.
Letters
What I’ve Learned Building Voice Applications: Best practices for building apps based on AI’s evolving voice-in, voice-out stack
The Voice Stack is improving rapidly. Systems that interact with users via speaking and listening will drive many new applications.
Letters
The Difference Between “AI Safety” and “Responsible AI”: Talk about “AI safety” obscures an important point; AI isn't inherently unsafe. Instead, let’s talk about “responsible AI.”
At the Artificial Intelligence Action Summit in Paris this week, U.S. Vice President J.D. Vance said, “I’m not here to talk about AI safety.
Letters
Three Takeaways from DeepSeek’s Big Week: Innvations by China’s AI powerhouse DeepSeek highlight major shifts in the international scene
The buzz over DeepSeek this week crystallized, for many people, a few important trends that have been happening in plain sight.
Letters
My AI-Assisted Software Development Stack: The software development stack is evolving fast. Here are some things to consider as you choose components.
Using AI-assisted coding to build software prototypes is an important way to quickly explore many ideas and invent new things.
Letters
New Opportunities for the New Year: AI-assisted coding lets you prototype applications quickly and easily. Go forth and build!
Despite having worked on AI since I was a teenager, I’m now more excited than ever about what we can do with it, especially in building AI applications.
Letters
Focus on the Future, Learn From the Past: 15 years ago, the idea of scaling up deep learning was controversial — but it was right. Keep your eyes open for such ideas in 2025.
I’m thrilled that former students and postdocs of mine won both of this year’s NeurIPS Test of Time Paper Awards.
Letters
Best Practices for AI Product Management: Generative AI is making it possible to build new kinds of applications in new ways. Here are emerging best practices for AI product managers.
AI Product Management is evolving rapidly. The growth of generative AI and AI-based developer tools has created numerous opportunities to build AI applications.
Letters
The Falling Cost of Building AI Applications: Big AI’s huge investments in foundation models enables developers to build AI applications at very low cost.
There’s a lingering misconception that building with generative AI is expensive.
Letters
AI Is Part of Your Online Audience: Some webpages are written not for humans but for large language models to read. Developers can benefit by keeping the LLM audience in mind.
A small number of people are posting text online that’s intended for direct consumption not by humans, but by LLMs (large language models).
Letters
From Optimizing for People to Optimizing for Machines: Why large language models are increasingly fine-tuned to fit into agentic workflows
Large language models (LLMs) are typically optimized to answer peoples’ questions.