Bad recipe ideas from the neural network

I’m training a neural network to generate recipes based on a database of about 30,000 examples, using the open-source char-rnn framework. People have asked me whether I’ve tried making any of these recipes. The answer is no. No, I most definitely haven’t. I don’t know, in fact, of anyone who has dared. The following selections of ingredients and directions may help explain why. Ingredients/directions not recommended: 10 lb dried broccoli casserole 1 lb crab water ¼ oz can of fish casings Place wrapper in microwave on Low Coals. Mix honey, liquid  toe water, salt and 3 tablespoon olive oil. Cut flour into ¼-inch cubes Spread the butter in the refrigerator. Drop one greased pot. Remove part of skillet. Scrape the mold into a ball bowl. Ingredients/directions REALLY not recommended: 1 pkg unknown yogurt fillets, thawed 1  dark cream 3  cooked parts cut into chunks ½  ears, crumbled 1  binch wife ½ lb back of served ½ pint sharp pieces 2 tablespoon spore sauce 1  boneless head ham bananas 2 tablespoon minced fresh personn More: Bad ingredient ideas from the neural network Disturbingly vague ingredients from the neural network Bad cooking advice from the neural network It gets worse: Neural network recipes + neural network Lovecraft (Part 1) Neural network recipes + neural network Lovecraft (Part 2)