Rogue archivist Carl Malamud writes, "Third year Harvard Law School student Kendra Albert did a very nice job on her powerful opinion piece in the Harvard Law Record, the student-run newspaper."
The hubbub is all about the recent publication of a book called Baby Blue’s Manual of Legal Citation, a totally public domain implementation of the legal uniform system of citation. All across the country, we've been receiving a stream of support from hundreds students at Yale, Harvard, Stanford, and NYU law schools.
This book was posted by Public Resource and written by Professor Chris Sprigman of NYU (one of the leading copyright scholars in the country) and his students, who we will keep anonymous while the blue fog of litigation threats remain in the air. We got pro bono legal help from Joe Gratz of Durie Tangri (the guy Google hired to defend them in the Google Books case) and our reviewers include noted experts such as Pam Samuelson of Berkeley. So, we're pretty sure we got this one right.
After a very aggressive Xmas Eve demand for a Writ of Habeas Codex ("Show Us The Book!"), we found ourselves negotiating with the two outside law firms they hired to tell us to keep off the grass. This fight has been going on since 2009 and I will be so glad when the blue wars are formally declared to be over and we can be at peace again. I have many good friends at Harvard and we've done so many things together that it pains me to have them put lawyers on our tail instead of just picking up the phone and talking about things. In the meantime, enjoy Baby Blue.
Harvard Law Review should welcome free citation manual, not threaten lawsuits
[Kendra Albert/Harvard Law Record]
The Stormtrooper Decanter is on back-order, but you can pre-order one from the next batch for £22 — it’s based on Andrew Ainsworth’s original movie helmet moulds from 1976, and will provide endless opportunities to point to lowball glasses and say things like “aren’t you a little short for a Stormtrooper drink?” (via Bonnie Burton)
Yahoo has released a machine-learning model called open_nsfw that is designed to distinguish not-safe-for-work images from worksafe ones. By tweaking the model and combining it with places-CNN, MIT’s scene-recognition model, Gabriel Goh created a bunch of machine-generated scenes that score high for both models — things that aren’t porn, but look porny.
I dote on fidget gadgets — soothing gizmos intended to give your hands something to keep busy with, like modern worry-beads — and while you can’t buy Chris Bathgate’s amazing machined sliders, and the Fidget Cube Kickstarter just closed, there’s still Thinkgeek’s new Jumbo Noah Fidget Toy, which looks like a lot of fun and […]
Nothing is more frustrating than needing to edit or sign a PDF and not having access to the original document. That’s why PDFpenPRO is a must-have app in our books.With this extremely useful app, you can merge, markup, and create PDF documents without ever having to convert your PDFs into word processor file formats. Type directly onto […]
From self-driving cars to stock market predicting software to the recommendations you get on Amazon and Netflix, machine learning is at the core of modern technology. You could find yourself building technology that is literally changing the world with the skills you’ll learn in The Complete Machine Learning Bundle. This bundle of 10 courses includes 406 lessons that will teach […]
This Python Mega Course will help you learn to code by teaching you to build 10 real-world apps that each highlight a unique use of Python.Job prospects for coders are still growing steadily—and with Python being one of the most popular coding languages out there today, it’s important for job seekers to demonstrate a widespread understanding of the […]