This week, Coursera held its annual conference in Las Vegas. A major theme was the shift from knowledge- to skills-based education, which will help many individuals, businesses, and educational institutions.
There is significant unmet demand for developers who understand AI.
Parallel agents are emerging as an important new direction for scaling up AI. AI capabilities have scaled with more training data, training-time compute, and test-time compute.
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.
Just as many businesses are transforming to become more capable by using AI, universities are too.
Recently Meta made headlines with unprecedented, massive compensation packages for AI model builders exceeding $100M (sometimes spread over multiple years).
There is now a path for China to surpass the U.S. in AI. Even though the U.S. is still ahead, China has tremendous momentum with its vibrant open-weights model ecosystem and aggressive moves in semiconductor design and manufacturing.
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!
The invention of modern writing instruments like the typewriter made writing easier, but they also led to the rise of writer’s block, where deciding what to write became the bottleneck.
Last week, the United States Congress passed President Trump’s “Big Beautiful Bill.” I’m disappointed it didn’t include a proposed moratorium on U.S. state-level AI regulation.
I’d like to share a tip for getting more practice building with AI — that is, either using AI building blocks to build applications or using AI coding assistance to create powerful applications quickly.
On Monday, a United States District Court ruled that training LLMs on copyrighted books constitutes fair use.
One of the most effective things the U.S. or any other nation can do to ensure its competitiveness in AI is to welcome high-skilled immigration and international students who have the potential to become high-skilled.
There’s a new breed of GenAI Application Engineers who can build more-powerful applications faster than was possible before, thanks to generative AI.
Everyone can benefit by learning to code with AI! At AI Fund, the venture studio I lead, everyone — not just the engineers — can vibe code or use more sophisticated AI-assisted coding techniques.
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