But I don't want to watch Grey's Anatomy in a jungle.

Disney's Princesses Reimagined As Comic Book Heroines

For those of you keeping score:

Genre NBC ABC Spy 2   Superhero 1 1 Cop 2½ 3½ Lawyer 1½ 1 Doctor   2½

People already said it, but here's a study on digestive enzymes adapting to the diet: [link] From the abstract:

It thus appears that altering the amount of starch intake leads to a parallel change in the activity of all the enzymes involved in the sequential hydrolysis of the dietary carbohydrates.

You might be victim to that thing (ask bon for details) where when you get off gluten, gluten is mean to you when you try it again. It's why I'm never going off.

As I recall, this is the problem with going off a lot of types of foods, and the risk of any kind of elimination diet.

Like, I'm totally convinced my mother-in-law would have fewer food issues if she hadn't gone on as many as she has. And my Dad never had problems with lactose until he went off milk when he was on Atkins.

I'm not sure my current problem is gluten as much as my innards are just so perpetually irritated that anything other than water is just adding to the irritation.

Which would be fine, because gluten-free is expensive!

But I don't want to watch Grey's Anatomy in a jungle.

You live in a jungle?

I mean, just go watch it at someone's apartment....

Caroline Dhavernas! Back on television! In a medical drama. Boo.

With Enrique Murciano! Yay.

Awww, the National Zoo has a new lion cub (and, of course, a new lion cub cam): [link]

Disney's Princesses Reimagined As Comic Book Heroines

Disney's princesses reimagined as sluts. That's NSFW where I work.

A Computer Algorithm That Can Detect Sarcasm

Crap. I was planning on using sarcasm as my primary weapon during the robot rebellion....

To create such an algorithm, the team scanned 66,000 Amazon.com product reviews, with three different human annotators tagging sentences for sarcasm. The team then identified certain sarcastic patterns that emerged in the reviews and created a classification algorithm that puts each statement into a sarcastic class.

The algorithms were then trained on that seed set of 80 sentences from the collection of reviews. These annotated sentences helped the algorithm learn what sorts of words and patterns distinguish sarcastic remarks – those that mean the opposite of what they literally convey, or that convey a sentiment inconsistent with the literal reading.

But I like how they used Amazon product reviews as a source of sarcasm....

Dammit, Tommy, I was just coming here with that. Except the slashdot link. Which also mentions twitter.