Data Science

I just started working on a vast music project that is screaming to be done in partnership with an AI co-arranger, co-orchestrator, co-audio engineer, co-musician(s), co-producer, along with fully automated mixing, mastering, and packaging for distribution. Do all of these functions exist in one AI platform? Here's a list of notable AI music generators: Continue Reading →

Google Cloud has unveiled a new artificial intelligence-powered search tool that consolidates data from clinical notes, scanned documents, and electronic health records. This will help healthcare professionals retrieve relevant information more efficiently, and could alleviate some of the administrative burden on physicians. Continue Reading →

Google and Microsoft have unveiled AI add-ons to their respective software suites. “Bard for Google Workspace” and Microsoft’s “Office 365 Copilot” are vying for the attention of businesses and individuals alike. They share a common mission: to elevate collaboration and streamline workflows within their respective ecosystems. I’ve been using both products for a few weeks now. Let’s review. Continue Reading →

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 →

My Sunday essay, "Talking to Data: The Real Power of Generative AI," is about the prevailing misconception that platforms like ChatGPT have a near-magical ability to answer intricate business questions… but the devil is in the details. The true magic of generative AI emerges when businesses create systems that empower their workforces to "talk" directly to their own data. Continue Reading →

A prevailing misconception suggests that generative AI platforms, such as ChatGPT, possess an almost mystical ability to provide answers to intricate business queries. "How can I sell more widgets in Wyoming?" seems like a simple question, but without the right data, even the most advanced AI systems won't help you. At the heart of this misconception is an overestimation of AI's capabilities. While generative AI is undeniably powerful, it cannot conjure insights from thin air. The adage "Garbage in, garbage out" remains as relevant as ever. In the context of AI, this translates to "You can't analyze data you don't have." Continue Reading →

As we stand on the precipice of an overwhelmingly AI-driven financial world, we must ask ourselves: Are we prepared for the potential fallout? Gary Gensler, the SEC chair, has sounded the alarm bells, suggesting that AI could be at the heart of future financial crises. His insights, drawn from a paper he penned in 2020, shed light on the risks of AI in financial markets and the limitations of regulatory bodies in addressing these challenges. Continue Reading →

Meta AI has introduced AudioCraft, a text-to-music AI model that does an impressive job of composing, arranging, orchestrating, and playing in a wide range of musical styles. Not only can it create or mimic a melody, but it also engineers and produces fully finished work, some of which is already suitable for commercial use – and this is only V1. Imagine where the state-of-the-art will be a year from now. Continue Reading →