Generative AI | News, how-tos, features, reviews, and videos
The companies replacing their junior developers with AI will be in big trouble when they realize they have no one to become a senior developer.
Despite serious dangers, the efficiency benefits of using generative AI tools for programming are all-but-impossible to resist. We need an entirely new human-in-the-loop approach to software management.
A core group of smart and well-meaning people would dearly love all AI to be open source. If only developers cared.
Enterprises are overwhelmed by AI dreams and employees who lack the skills to make them come true. May I suggest a hackathon?
Once we get past the disappointment that AI can’t solve everything, we can use it for things it’s actually good at.
Fueled by vibes and with stars in their eyes, enterprises are not taking the time to understand generative AI’s limitations and to create their own rules-based approach.
Smart companies will experiment with small generative AI applications to gain the skills and confidence to try bolder projects.
The Kubernetes open source project should serve as the blueprint for the way in which we develop, govern, fund, and support AI projects.
We’re still waiting for a trusted vendor to spare enterprises from the confusion and guesswork of artificial intelligence.
Microsoft is not simply making a big bet on AI in Windows, but betting that natural language and semantic computing are the future of Windows.