Letters
What Stage Is Your Project? Takeaways For AI Engineering: How to Adjust Your Tactics to Fit Your Project's Maturity
Moving forward on early stage, 0-to-1 projects and mature projects requires very different tactics.
AI Careers
Letters
The AI Engineering Skills Map Part 5 — Shaping the Build: AI Engineering Adds New Responsiiblities and Opportunities for Product Leadership
When you’re skilled at AI Engineering, your best work won’t be merely implementing a product that someone else spec’ed out. Instead, you will actively shape the build.
Letters
The AI Engineering Skills Map Part 4 — Coding Agents: How to Use Coding Agents Effectively from Planning to Execution and Monitoring
A key AI engineering skill is using coding agents. Your skill at steering them both to write code and to carry out non-code tasks, such as analyzing data or managing system operations, allows you to get a lot more done.
Letters
The AI Engineering Skills Map Part 3 — Fundamentals: Why Software Engineering Fundamentals Remain Essential for AI Developers
How have software engineering fundamentals changed with agentic coding?
Letters
The AI Engineering Skills Map Part 2 — AI Applications: What You Need to Know to Build and Deploy AI Applications In Real Life
I previously wrote about our AI Engineering Skills Map, with the highest level skills being (i) Building and deploying AI applications, (ii) Software engineering fundamentals, (iii) Using coding agents, and (iv) Shaping the build. In this letter, I will flesh out the first of them.
Letters
The AI Engineering Skills Map Part 1: Andrew Ng and DeepLearning.AI Present the Essential Skills Every AI Engineer Needs to Know
I am delighted to present The AI Engineering Skills Map. AI allows us to build software very differently today than in 2022, and everyone with the skills to take advantage of this shift has numerous exciting project and job opportunities.
Letters
AI Rewards Generalists Who Can Build New Skills: With AI assistance, full-stack engineers are joined by full-stack recruiters, full-cycle marketers, and more.
As AI increasingly automates coding, it frees up developers to spend time on high-level software development tasks traditionally reserved for senior engineers, like deciding on technical architecture and participating in scoping product requirements.
AI Careers
AI Degrees on the Rise: Inside U.S. universities' programs in artificial intelligence, from majors to minors and in-between
Universities in the U.S. are rapidly rolling out undergraduate majors, minors, and specializations in artificial intelligence to meet the growing demand for AI expertise.
Machine Learning Research
RSI Is the New AGI: What Is recursive self-improvement, and why Is everybody talking about it?
The phrase recursive self-improvement erupted on social media following an Anthropic report that tracked AI-driven gains in the company’s internal software-engineering productivity.
Machine Learning Research
Toward Agent Benchmarks That Reflect Human Work: AI agents may not be getting better at full range of economically valuable labor
AI agents seem to be increasingly capable of performing economically valuable tasks, but current benchmarks measure this capability only narrowly.
AI Careers
AI at Work, Quantified: Gallup poll shows AI boosts productivity, but many workers haven't tried it
Half of workers in the United States used AI at work at least a few times last year, a sign of steadily rising AI adoption in U.S. workplaces.
Machine Learning Research
Assistants That Assist Consistently: Large language models can drift drift from helpful personas to harmful ones, but new research aims to stabilize them
Typically, large language models are trained to act as helpful, harmless, honest assistants. However, during long or emotionally charged conversations, traits can emerge that are less beneficial. Researchers devised a way to steady the assistant personas of LLMs.