The Future of Work

As AI's capabilities increasingly blur the lines between human originality and machine-generated derivatives, traditional copyright frameworks appear increasingly antiquated. The once-clear demarcations of ownership, originality, and rights are now mired in ambiguity. How might we rewrite today's copyright regulations to enable a future that respects both human ingenuity and the undeniable contributions of generative AI models? Continue Reading →

Does generative AI pose a threat to the rich tapestry of human expression? Are we on an inevitable path toward digital monoculturalism? This essay was written in the fall of 2016. Considering how quickly generative AI content creation tools and copilots are being woven into the fabric of our lives, now would be a very good time to start thinking about what our human-created cultures truly mean to us. Continue Reading →

IMAGE: Vintage American anti-capitalist poster, circa 1938. Source: r/antiwork A few years ago, I received an invitation to walk in the Labor Day Parade. It got me thinking about labor law as an alternative path to meaningful data privacy regulation. Today, as we begin to think hard about how to approach AI regulation, I started Continue Reading →

Can you name the three most famous Impressionist artists? Or describe the color palette and techniques that define Color Field Painting or Naive Art? Your ability to answer these questions will have a big impact on your experience with text-to-image generators like Midjourney. But what if you haven’t been to art school or spent years studying art history? Continue Reading →

Meta, the company formerly known as Facebook, has open-sourced LLAMA 2, its advanced AI model. Zuck might be onto something here. Let's explore what LLAMA 2 brings to the table, its potential applications, and the implications of this open-source move for the AI community at large. Continue Reading →

China has laid out a blueprint for regulating generative AI – technology that powers chatbots like OpenAI’s ChatGPT and Google’s Bard. Overseen by the Cyberspace Administration of China, the new regulations set parameters on the public use of AI. The law instructs Chinese AI systems to adhere to "core socialist values," which raises some interesting questions. Continue Reading →

Large Language Models (LLMs) are transforming the way we interact with technology. These models, developed by leading tech companies such as OpenAI, Replicate, Cohere, Hugging Face, and Anthropic, to name a few, are pushing the boundaries of what's possible in natural language processing. Here's a short overview of the most popular LLMs from these companies, exploring their unique capabilities and best use cases. Continue Reading →

For the past several years I've been publishing various versions of the "11 Hottest Tech Trends of 1776." This year, I thought it would be fun to ask ChatGPT for some help. So I asked it to read the previous versions of the article and if it could "think of any other technological advancements between 1750 and 1800 that would be a good addition to this story." It could and it did. So here, for your Independence Day reading pleasure, are the 18 hottest tech trends circa 1776. Continue Reading →

Welcome to the brave new world of generative AI, where the machines are no longer just number crunchers, they’re word crunchers, image crunchers, audio and video crunchers. But here’s the catch: If we’re to ride the wave of this technological revolution, we need to rethink not just the tools we use, but also how we use them. Continue Reading →

The Office of Science and Technology Policy (OSTP) is asking for your help. The Biden-Harris Administration is developing a National Artificial Intelligence (AI) Strategy that will chart a path for the United States to harness the benefits and mitigate the risks of AI. To inform this strategy, OSTP requests public comments to help update U.S. national priorities and future actions on AI. Continue Reading →