Beer Review:  Ortega Sulfur (Chocolate)

This my weekly column of beer reviews. If you are a beer geek, you will enjoy this column. If you are a beer snob, you will be in a state of confusion. If you are just a beer drinker, you may not understand what I am talking about. You can read about my review of the new Dogfish Head Sixty-Niner here .

Beer Name:Budweiser
ABV 4.70
Style: Saison
Appearance: 4
Aroma: 3
Palate: 3
Taste: 3
Overall: 4
Reviewer: RedWidow
Review: 12 oz bomber poured into a tulip. Pours a hazy yellow. Smells fish


Beer Name:Gouden Carolus Churchyard Porter
ABV 7.00
Style: German Porter
Appearance: 4
Aroma: 4
Palate: 4
Taste: 4
Overall: 4
Reviewer: hooligan0478
Review: 12 oz bottle into a large New Belgium longneck glass. It pours a hazy copper, with a mocha head. The nose is dry, and hoppy. A little bit of a vanilla nose. There is a bit of a burnt toast taste to the coffee right from the start. The smoke is more of a nutty flavor, and not something that is something I would call a coffee flavor. It doesn’t have a great mouthfeel. The finish is dry, burning and a bit too much. This is a solid beer to sit alone in a glass. It is worth a try.


Beer Name:Swedish Nettle
ABV 4.70
Style: Session Beer
Appearance: 3
Aroma: 2.5
Palate: 3
Taste: 3.5
Overall: 3.5
Reviewer: rsraoney
Review: This beer looks like a Belgian lager. First off, the color is red, poison green, and has a large head. The head is nice, but the beer is split with a nice white lace, and the head is very tiny. The aroma is grainy and grassy with little nuttiness and light floral notes. The taste is sweet and malty, with a small, but large amount of grainy aftertaste. The mouthfeel is smooth, but the beer is thin and watery. Overall, this is a bad beer.



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. I have not yet figured out how to train an algorithm to generate me beer photos.

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