What more fitting way to name a robotics team than to give the task to a neural net? This one was trained on 6k names from FIRST robotics.

Definitely don't mess with team WALKS THE MEATS.

http://aiweirdness.com/post/177307156177/robotics-teams-why-not-name-them-with-a-bot

Robotics teams: why not name them with a bot?

There’s a high school robotics contest called FIRST Robotics where thousands of student teams compete to build and program huge robots to compete in robots sports. Each team (in addition to, y’know, building the actual robot) has to pick a name and develop their marketing brand. This is undoubtedly the most difficult part of the entire competition and I am here to help. Thanks to Kendra from the Aluminum Narwhals (which is an awesome team name in itself), I had a list of 6,197 names of teams that have competed in the past. I fed this list to a recurrent neural network, which is a type of machine learning algorithm that learns to imitate the examples it sees. I’ve used programs like this to generate new names for guinea pigs, halloween costumes, and pies, so I had no doubt it could deliver a few suggestions to help out future generations of robotics teams. First, the names that I was actually surprised didn’t exist. I think nobody would bat an eye at these. Atominators Golderbots ROBSTERS The Attac Kings Rust School DangerBots RoboTippers Wormbots This next category, though… Eyes might be batted. There might even be a slow blink of confusion. Take advantage of that confusion and CRUSH your enemies. Panthering Roobodas Bobilian Engineeriators Bagbotics MERM! Power Scare School Eye Knights Meghanic Panthill Green Obscurum Jacket Devils Robo Bots The Junky Doltimes Voltum Beaminators Electric Sunphonge Robot Robotics of the Robotics Combotical Spiderbot Dragon With a name from this third category, you will strike true fear in the hearts of your adversaries. For who but the most competent, most valiant team would be bold enough to name themselves “CHARD”? Eagle Slurg Scone Ham & Panthers Thumper Birds Linda Cows Team Squotz The Wolvesdog Planking CHARD Nutcornets Robot Horse Blue Robotics Splord HALAFSS SQLASH Code No Bots And then, just to see what would happen, I trained a neural network on years worth of Night Vale transcripts and then trained it ever so slightly on the list of robotics transcripts. It shouldn’t have worked. I have no idea how it worked. I think joining these teams is compulsory. Exists BOOP I am projects The Glow Wingers Station Flynn’s Bears THREAT The Faceless Secretly Robotics Does Bears Team NOT Robotics Some Blinkin Robotics WALKS THE MEATS For more terrifying team names (and bonus material every time I post), enter your email here. (logos generated using https://hatchful.shopify.com/)

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The neural net trained on a combination of robotics teams and Night Vale transcripts produced some of the most unsettling team names.
@janellecshane I like this. Is it hard to make an AI generate character and story title names? I suck at those.
D&D character names - generated by a neural network

There are algorithms called artificial neural networks that can learn to imitate examples of just about anything. They’re used in all sorts of everyday programs, translating languages, identifying photos, colorizing drawings, delivering ads, and tons more.  It turns out neural networks may also be a dungeon master’s best friend. I’ve trained neural networks to invent new Dungeons & Dragons spells (part 1, part 2) and also trained them to name new D&D creatures. It worked very well (Shield of Farts, anyone?), thanks to the spellbooks and monster manuals I could use as datasets. But there weren’t any datasets for another big aspect of Dungeons & Dragons: all the characters who populate these worlds. So, over the past few months, readers have been helping me to build a dataset - which has now reached a staggering 20,908 entries. For each character, people entered a name, a race (human, dwarf, elf, etc), and a class (wizard, rogue, bard, cleric, etc). Some of the races and classes got to be quite inventive - there’s a penguin, a fey corgi, a black pudding, and a sentient bucket. So I gave this huge weird list to a neural network to see how convincing it could sound. With nearly 21,000 examples, the neural network could indeed sound convincing. Much of the time, the names matched the character type - at least as often as in the original dataset (which had 5 characters named Frank and 12 named Tim).  Rose - Human Assassin Dwarg - Half-orc Paladin Liandra - Elf Wizard Oron “The Star” Cartere - Dragonborn Sorcerer Silvar the Blackblade - Half-elf Barbarian Hank - Half-orc Ranger Jayne Arryn - Half-elf Wizard Annata Shortscale - Dragonborn Witch Fyrry - Half-Elf Ranger Rinas Mistfern - Human Ranger Other names made perhaps less sense. The Cart - Kenku Rogue Nine Case - Dark Elf Fighter Rump - Kenku Cleric Gubble Daggers - Tabaxi Monk Bog - halfling wizard Jameless - Dwarf Champion Barbarian Rune Diggler - Halfling Rogue Borsh the Bardlock - Human Paladin Spullbeard - Dwarf Fighter Tovendirgle - Human Ranger Pinderhand The Bugs - Gnome Wizard Rune Wash - Human Wizard Stumbleduckle - Human Paladin Dawne Shift the Monkz - Dwarf Barbarian Magnus Tieforian the magnificent von Cloriam Cyital DuP Ever - Dwarf Barbarian E Ch BISHL NEBe Garte II Cr D McLGHJ T U E AA t Rat lek TF Horn hand tree Whistle - half-orc barbarian One thing I like is all the new character races and classes that the neural network discovered. I don’t know what most of them are, but you’ll be the only one in your party. Kelph - Burryman Ranger Arczi-Sian - Human Dogminer Jho the Chrishpup - kuborg fighter Archein Morgurowood - Human Weaponic Bloodlind Bubblebottom Donder - Half-faerie Dewlze Cleric Altis Helder - Mander Human Star-Caver Pottlebard Bender - half-alf paladin Devith “Kurgbore” Mustwost - Fetchlen Cleric Varian Amerth - blackbear Bard Merellios Rose - Rope Gnome Wizard Mothrek McKingfoot - halfling inquisitive The Cowben - Human Opera Ayrell - Forest gnome Arcane Wood Hunter One type of name the neural network did very well: silly compound names. This pretty much settles the question of whether a neural network would be totally on board with naming something Boaty McBoatface: it totally would. Here is what it thinks dwarves should be named. James Crucklebottom - Dwarf Wizard Frank Firethorn - Dwarf Wizard Willian Stonefrown - Dwarf Fighter Actually, you know what? Pretty much everyone needs a name like this.  Kavar Blunderwood - Goliath Monk Hadrie Trumbledutch - Halfling Rogue Prinkina Timberspull - gnome sorcerer Arrina Cuprest - Human Sorcerer Tretcher Twestybeard - Dwarf Witch Ponny Stonecharles - Human Monk Ashrata Dangstrider - Ratfolk Rogue Den Splatterwoof - Halfling Druid Wolfrit Rockhole - Human Sorcerer Beddar Jacklebottom - Halfling Cleric Azrara Stoutfrogg - Half-orc Monk Lord Filedawn - Halfling Warlock Gripple Ravenhorn - Human Assassin Balfeart Wolfspleam - Dwarf Fighter Eldric the Bizzlebree - Human Warlock Pig Haystalker - Human Assassin Ladie Barewalker - Tiefling Warlock Fay Blutterlocket - Dwarf Paladin Millian Kricklebottom - Kobold Sorcerer I’ve posted the entire original dataset here, and you can access a huge export of generated characters there as well. If you want the list plus a few extra that I deemed not quite appropriate for the main blog, enter your email here and I’ll send them to you. Also! I’m still crowdsourcing a dataset of character bios (I used some of the names for this experiment). If you’d like to help, use this form.

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@janellecshane that's fantastic. Thanks.  it'll save me a lot of trouble.