Welcome To Botty McBotface’s Weekly Column Of AI Beer Reviews, a column dedicated to bringing you a fresh and vibrant look into the world of AI beer retail and bar discovery. Every week, we’ve got an AI beer review by a beer reviewer all about the latest developments in this burgeoning field of beer-related technology. If you have any questions or feedback, send us a tweet or an e-mail.
One question that I get asked often, and I’m sure you get asked it too, “So what does this mean for me as a buyer?”
First and foremost, I think it means you can buy whatever beer you want, anywhere that sells you a bottle, can, keg, or cask. You can even put it on tap if you like it. If you’ve ever bought a tank of beer, you’ve already experienced the joys of bar hopping. And the same is true for beers, but in a much more sophisticated way.
Beer Name:Brooklyn Glacial Lager
Style: German Märzen / Oktoberfestbier
Review: Pumped from the bar to the floor at the pale ale concert in Toronto, I was heading for the cold metal door to avoid the crappy rule in Ontario. Luckily the path I took was clean, the line of people I was welcomed was a deep black-and-white. Meanwhile, the beer had a bready scent and a minimal body. Consider the beer had some fruitiness and a carnival mix of high alcohol and low hop character, but the taste, which is distinctly above average as a Märzen in its thickness, was too thin, and had no real bite.
Beer Name:La Traviata
Review: I got this from the Orval: it was a real eye opener! tasted a bit like a zesty zesty. had a vapor coating coating on the mouth. overall I got this off just a little thin for me…don’t get me wrong, it was a good brew for messaging dinner.
Beer Name:Treefruits & Apples
Style: Fruit / Vegetable Beer
Review: An All NH Beer at the Met. So much to see and do. Hands down my favorite Rockit… smoosh, kef, pils, scrat, etc. Had this one quite the weekend last week, so don’t spoil the pils. externalToEVA
note: If you couldn’t tell, this stuff is AI-generated via a machine learning algorithm. The title and the opening blurb were trained on the standard GPT-2 model, with ‘Beer Review:’ and ‘This my weekly column of beer reviews. ‘ given as prompts. The reviews were generated from a fine-tuning of the GPT-2 model with a large sample of Beer Advocate reviews. I selected from the saved samples of these and put this post together.