Personal messages to the AI community
Harvard University just voted to limit the number of A grades given in undergraduate classes to about 20% of the class.
The ways we prompt AI are very different in 2026 than 2022 when ChatGPT came out.
I’ve been hearing from people at all levels of seniority about a feeling of job insecurity.
I just got back from AI Dev x NYC, the AI developer conference where our community gathers for a day of coding, learning, and connecting.
On Saturday at the Buildathon [http://buildathon.ai] hosted by AI Fund and DeepLearning.AI, over 100 developers competed to build software products quickly using AI assisted coding.
We’re organizing a new event called Buildathon: The Rapid Engineering Competition, to be held in the San Francisco Bay Area on Saturday, August 16, 2025!
Last Friday on Pi Day, we held AI Dev 25, a new conference for AI Developers.
Last Friday on Pi Day, we held AI Dev 25, a new conference for AI Developers.
In April, DeepLearning.AI launched a short course, “ChatGPT Prompt Engineering for Developers,” taught by OpenAI’s Isa Fulford and me. I’m thrilled to announce three more short courses, available today.
In April, DeepLearning.AI launched a short course, “ChatGPT Prompt Engineering for Developers,” taught by OpenAI’s Isa Fulford and me. I’m thrilled to announce three more short courses, available today.
Last week, we released a new course, ChatGPT Prompt Engineering for Developers, created in collaboration with OpenAI. This short, 1.5-hour course is taught by OpenAI’s Isa Fulford and me.
Last week, we released a new course, ChatGPT Prompt Engineering for Developers, created in collaboration with OpenAI. This short, 1.5-hour course is taught by OpenAI’s Isa Fulford and me.
Understanding the math behind machine learning algorithms improves your ability to debug algorithms when they aren’t working, tune them so they work better, and perhaps even invent new ones. Today DeepLearning.AI is launching the Mathematics for Machine Learning and Data Science Specialization.
Understanding the math behind machine learning algorithms improves your ability to debug algorithms when they aren’t working, tune them so they work better, and perhaps even invent new ones. Today DeepLearning.AI is launching the Mathematics for Machine Learning and Data Science Specialization.
Activities such as writing code and solving math problems are often perceived as purely intellectual pursuits. But this ignores the fact that they involve the mental equivalent of muscle memory.
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