How AI And Crowdsourcing Are Remaking The Legal Profession Sean Captain - Fast Company Writing with the machine Robin Sloan
The legal field is not very technologically enabled. As Casetext’s Jake Heller points out, “We’ve all seen this story. Whether it’s restaurants or encyclopedias, this is going to be replaced by an open knowledge solution.” The question is, which of all these services will win the market (full disclosure, my girlfriend works at Casetext, and I think they are doing great work at making legal data easily available).
Three Years in San Francisco Mike Davidson - Mike Industries
While I enjoy reading about the breakthrough techniques in deep learning, applied machine learning, with weird and fun objectives and non-standard datasets is much more exciting.
Apple’s actual role in podcasting: be careful what you wish for Marco Arment
The article talks about topics beyond management, but spends a good chunk of time discussing why projects with many moving pieces, many stakeholders, and many contributors are hard to do right. Mostly, because people are hard to understand. If you understand people, you’ll be a better engineer, better designer, and better manager.
As Marco says, “…the last thing we all need is for the ‘data’ economy to destroy another medium.” Implied, but not mentioned in the article, is the discoverability problem of podcasts. Finding 10 shows that you generally like is easy. Finding the best episode of those 10 shows is impossible.