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Coming soon to the WC: Computer-generated wine reviews

computer-generated wine reviews

“Damn. … where is that neural network when I need it?”

A little Python, some neural network command line work, and the blog can start posting computer-generated wine reviews

Sooner rather than later, I’m going to post computer-generated wine reviews on the blog. Thanks to the Lifehacker website, all I need are some basic Python programing skills. Or, even better, find a Python-savvy volunteer from among the blog’s sophisticated and erudite audience who wants to help “write” them.

We’ve followed the advances in artificial intelligence that makes these reviews possible for several years. Barbara Ehrenreich, writing in the New York Times, said that “the business of book reviewing could itself be automated and possibly improved by computers.” And writing one kind of review isn’t all that different from writing another kind.

The point here? That wine has become so mechanized and so predictable that we can probably get acceptable Winestream Media-style reviews from an artificial intelligence. It’s probably even possible to teach the machine to give scores – a delicious irony that is reason enough to make this work.

Lifehacker’s Beth Skawrecki writes that machine-written reviews are more possible than ever thanks to advances in neural networks. A neural network is “a type of [artificial intelligence] modeled on the network-like nature of our own brains. You train a neural network by giving it input: recipes, for example. The network strengthens some of the connections between its neurons (imitation brain cells) more than others as it learns. The idea is that it’s figuring out the rules of how the input works: which letters tend to follow others, for example. Once the network is trained, you can ask it to generate its own output, or to give it a partial input and ask it to fill in the rest.”

For our purposes, we would tell the computer what chardonnay is supposed to taste like, where the grapes were grown, information about the vintage and the winemaker’s style, and the price. Then, we can “teach” it to interpret that information to write the review – that chardonnay from California is different in certain ways from chardonnay from France, for example.

Now, to brush up on my Python.

More about computer-generated wine reviews:
Winecast 30: Arty, the first artificial intelligence wine writer
Do we really need wine writers?

Winecast 30: Arty, the first artificial intelligence wine writer

artificial intelligence

Arty, the first artificial intelligence wine writer

“Wine drinkers want to be reassured that what they are drinking is worth what they paid for it. That’s the goal of the post-modern wine business and premiumization, and I was created to do that.”

Computer-generated wine writing has arrived, if this interview is any indication. I talked to Arty, the world’s first artificial intelligence wine writer, for this edition of the podcast.

Arty and I discussed why he was created, his goal as a critic — “We’ll always need quality wine writing, human or otherwise. But I think I can offer consumers wine criticism that they can’t get anywhere else” — and why his kind may be the future.

Click here to download or stream the podcast, which is about 3 minutes long and takes up 2 1/2 megabytes. The sound quality is almost excellent.

A tip of the Curmudgeon’s fedora to the Mary Text to Speech system, which made it possible to create this interview. Maybe what I’m joking about is more possible than we know.