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Copyright, AI, and Provenance

O'Reilly

In an article in The New Yorker , Jaron Lanier introduces the idea of data dignity, which implicitly distinguishes between training a model and generating output using a model. Training an LLM means teaching it how to understand and reproduce human language. What should copyright law mean in the age of artificial intelligence?

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Inspired Design Decisions: Pressing Matters

Smashing Magazine

Whether your readers are offline or on, grids are fundamental to their understanding of your stories, and you can use them for more than aligning content. It helps people understand the stories you’re telling by suggesting hierarchies. These principles are not new and they have guided art direction and design for decades.

Design 93
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Real-Real-World Programming with ChatGPT

O'Reilly

I really wanted to go beyond these quick gut reactions that I’ve seen so much of online, so I tried using ChatGPT for a few weeks to help me implement a hobby software project and took notes on what I found interesting. This article summarizes what I learned from that experience. I just want your help with thinking through UX design.

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Corporate Responsibility in the Age of AI

O'Reilly

The New York Times’ lawsuit against OpenAI isn’t about a single article; if it were, it would hardly be worth the legal fees. From that perspective, we want to dive into how we believe companies need to think about AI adoption and how their implementation of AI needs to work for the benefit of all three constituencies.

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Generative AI in the Enterprise

O'Reilly

Automating the process of building complex prompts has become common, with patterns like retrieval-augmented generation (RAG) and tools like LangChain. Badly thought-out and poorly implemented AI solutions can be damaging, so most companies should think carefully about how to use AI appropriately. We expect search to be everywhere.