We've been financing good writing with bad advertising -- and "attention monsters" (to quote Craig Mod) for way too long. So what happens when the technology for creators finally falls into place? We're finally starting to see shift in power away from publications as the sole gatekeepers of talent, towards individual writers. Especially when the best possible predictor of the value of a piece of writing is, well, the writer. The publication's brand is no longer the guarantee of quality, or the only entity we should be paying and be loyal to, when a new ecosystem is forming around the direct relationship between consumers, content creators, and the tools and business models to facilitate all this. So where do readers come in... how do they find signal in the noisy world of drive-by billboard advertising, "attention-monster" feeds, and the death of Google Reader? Particularly as machine learning-based translation, summarization, and other mediums beyond text increasingly enter our information diets, for better and for worse? This episode of the a16z Podcast features Robert Cottrell, formerly of The Economist and Financial Times and now editor of The Browser (which selects 5 pieces of writing worth reading delivered daily); Chris Best, formerly CTO of Kik and now co-founder and CEO of Substack (a full-stack platform for independent writers to publish newsletters, podcasts, and more); and Andrew Chen, formerly independent blogger/ newsletter publisher, now also an a16z general partner investing in consumer -- all in conversation with Sonal Chokshi. The discussion is all about writing and reading... but we're not just seeing this phenomenon in newsletters and podcasting, but also in people setting up e-commerce shops, video streaming, and more. Is it possible that the stars, the incentives, are finally aligning between creators and consumers? What happens next, what happens when you get more than -- and even less than -- "1000 true fans"?   image: Thad Zajdowicz/ Flickr

AI can do a lot of specific tasks as well as, or even better than, humans can — for example, it can more accurately classify images, more efficiently process mail, and more logically manipulate a Go board. While we have made a lot of advances in task-specific AI, how far are we from artificial general intelligence (AGI), that is AI that matches general human intelligence and capabilities? In this podcast, a16z operating partner Frank Chen interviews Stuart Russell, the Founder of the Center for Human-Compatible Artificial Intelligence (CHAI) at UC Berkeley. They outline the conceptual breakthroughs, like natural language understanding, still required for AGI. But more importantly, they explain how and why we should design AI systems to ensure that we can control AI, and eventually AGI, when it’s smarter than we are. The conversation starts by explaining what Hollywood's Skynet gets wrong and ends with why AI is better as "the perfect Butler, than the genie in the lamp."