Sunday, 7 December 2025

Blogwagon: The Transient Snowfields

Merry hexmas! Here's a weird hex I made for Prismatic Wasteland's end-of-year blogwagon. Use it however you like! Creative commons license at the end. If you link one of your hex edges to mine, drop a comment or message me on Bluesky and I'll update the post!


Red ribbon divider.

Summary

A highland region of magically-animated snow. It is home to a village of 'roblings', creatures cursed to compulsively steal. A dysfunctional team of researchers has travelled here in a gingerbread mecha, now broken down.

 

Red ribbon divider.

Hex terrain description

This hilly region rises out of the rich pastures to the south and grassy steppe to the southeast. Here little grows beyond a dark moss, with snow always blanketing the ground.

The snowscape is dotted with missing patches, each one beginning a trail of footprints, as if areas of snow were getting up and walking away.

The region otherwise appears devoid of villages, hamlets, or other habitation. It rises higher into tall mountains at the northwest edge.

Connecting hexes

Description

The landscape is not-quite-beautiful. The sparkling white snow is thoroughly dotted with missing patches and criss-crossed with tracks. The wind gently sighs, except for when it's howling.

Transient snow can be found covering the hex. The large hilly snowfields look quite mundane, but are home to intelligent creatures who fall as snow during the night and collapse into quickly-dissolving piles of slush by the following afternoon.

The transient snow creatures all have names, personal stories lining up with hazy false memories of the world, and often relationships with each other. They have a dull understanding of the broader world, but only come to comprehend their own immediate mortality through the course of the day. Each has a unique appearance, as if bespokely made by a snow artist. They have equipment, clothing, and skills, all of which dissolves as the sun descends.


Red ribbon divider. 

 

Locale: The village of the roblings

Roblings are part mischievous goblin, part red-breasted robin, although they joke that there's more magpie than robin. Something in the genetic mix gives them tails and claws, too, and makes them taller than most humans. They're muscular and very quick, and with the aforementioned claws, each one is about as dangerous as a bear if it comes to a fight.

A grinning robling with a sack. Drawing by Jeff Koch.

These folk are all covered in long fur. Apart from a touch of red at the chest, they are dark green shading to black, the same colour as the moss and lichen under the snow. The roblings harvest those tiny plants, and hunt the reindeer that compete for it. They supplement their diets with small river fish and with sugared oranges of unclear origin.

Their village is two hundred roblings, of all ages. They hatch from knobbly hairy eggs, and their yurt homes have a nest-like look to them, low communal structures made from reindeer hides stitched with sinew, huge mammoth tusk struts, dried moss, and goose down.

The roblings are hospitable, but seem a little concerned that they are receiving visitors. A village elder will explain their circumstances:

  • Background: The roblings as a species are cursed with kleptomaniac episodes. They are individually compelled at random intervals to go to the nearest place where they think some valuable objects might be, taking a big sack, and loot it all in a mischievous frenzy. They then return to wherever they live and find they don't care about the things they've taken, feeling fairly embarrassed about it (but not inclined to give anything back).
  • Community: Because they are otherwise normal, the roblings don't like the outcomes from this behaviour. Their attempts to sublimate the urges failed, so a couple of generations ago they formed this community, leagues away from anywhere. A big part of their local culture consists of stealing from each other and the attendant little customs of going around to find their stuff again. Relatively few robling robberies now take place outside the village, but they have a big collection of things they stole in the past.
  • Transient snow: Because the ancestral curse is about stealing valuable things, the roblings can safely live here amongst the transient snow creatures. The creatures' snow equipment (which evaporates daily) is largely worthless, so the robling instinct never targets them.
  • History: The roblings were created in vats as an arcane experiment. Oral history says their creator was a genius archwizard whose hobby was thievery. She was betrayed by her apprentice who killed her, stole her powers, and abandoned the roblings for a new project, making some kind of huge mechanical baboon (see https://coppershaman.com/merry-hexmas-babbling-baboon/)


The roblings are smiling. Self-actualised. Happy with the niche they've carved out for themselves. They only admit to two worries:

  1. In the distant future, population growth could have them brushing up against regions with other kinds of people, with friction as a result. They'd like to find a way to lift their curse if they could.
  2. More immediately, some big, pricy, well-defended target could come along, prove irresistible, and the village would suffer some violent retaliation after robbing it. (They don't know about the W.A.I. gingerbread mech yet – see below)

If you could somehow alleviate either fear, you'd have the gratitude of a lot of interesting people.

Notable items stolen from the outside world by roblings (1d10):

  1. Mrs Clause's rocking chair. She probably wants it back, but it's pretty heavy and unwieldy.
  2. Treacle hourglass. Ornate ceremonial timepiece. The dark liquid very slowly flowing through it has almost finished counting down a decade.
  3. Sack of large rubies and sapphires. Used as 'practise gems' by an apprentice gnome lapidary, they are all quite misshapen or in some cases have been split in half. Still valuable.
  4. A set of telescope lenses once belonging to the Snow Miser (see https://tbr.bearblog.dev/merry-hexmas-blog-bandwagon-snow-misers-houseboat/)
  5. Two large golden rings, from a set of five. A recent political intrigue is said to have revolved around them. Sounds like a tall tale to you.
    Gold ring.
  6. A taxidermied chimerical denizen of some nightmarish realm. This particular chimera has the glassy-eyed head of a reindeer, body of a giant penguin, and feathers of a turkey, duck, and chicken combined. It also has human arms, holding a knife and fork.
  7. Trunk-sized golden key to the city of Sniffleheim, fortified ancestral home of the frost giants. Etched on one side with the Sniffleheim coat of arms (a stylised scowl) and on the other with "Property of Jarl Keith".
    Gold key.
  8. Tongs of the Heat Miser. Magically room-temperature kitchen tongs. Once used by this mysterious figure to manipulate objects without melting them into white-hot blobs, before he learned a measure of control over his eldritch power.
  9. Bottomless Pouch of Sugared Oranges. Vital to the roblings, who use it to supplement their moss-based diet with extra calories and vitamins.
    Orange.
  10. Single-use doomsday device stolen from the Red Lord (see https://magnoliakeep.blogspot.com/2025/11/blog-bandwagon-orcish-toy-factory.html). Ugly pear-shaped mess of steel pipes, loose wires, and warning symbols. If activated, it instantly tinselifies all organic life in a six-league radius, leaving nothing but glittering strands and a mass of fused slag at the epicentre.

 

Red ribbon divider. 

 

Locale: A curious expedition

A campsite huddles around the legs of a massive gingerbread mecha. The five-storey-tall delicious biscuit robot is currently immobile.

Houses a research party from the Weather Advancements Institute (W.A.I.), here to study the magical properties of the snow. They are competing with the North Pole Ironworks and the Hannukademy for funding, and would offer trade tips and small favours for news about either group or for leads on new sources of private equity.

The gingerbread mecha is a quadrupedic walking vehicle constructed from pastry, icing, spun sugar, high-tensile marzipan, and rolled steel. The inside smells like a holiday drink made from hot machine oil. The mecha broke down slightly short of its destination two leagues further into the snowfield, so the expedition has set up camp here while mechanic Grace tinkers with it.

The mecha is armed with a devastating heat ray and six pop-out autocannon turrets which lob chocolate shells at an unbelievable rate of fire. Part of an experimental fleet belonging to the Heat Miser, who contracted the design out to the W.A.I., funded the construction, and leased it back in a sweetheart deal.

Gingerbread mecha. Art by Evlyn Moreau.

Weather Advancements Institute team members (1d8):

  1. Dr Margrit Blithely. Principal investigator. Stressed out. Really needs this expedition to work. Has only just found out about the roblings and is worried there could be a violent clash. The mecha has autonomous defences which can't be deactivated.
  2. Thab Xnox. Research assistant. Hammock enthusiast. Has raised laziness to an artform. Motivated by nothing but new excuses not to do his job.
  3. Magus Kaleb Baiseen. Academic wizard. Fascinated with the elements. His life's work is the construction of a periodic table partitioned along the lines of which elements can or cannot be animated or summoned.
  4. Jennet Jensdottir. Meteorologist. Seven feet tall, platinum blonde, glittering celebrity smile, mind like a steel trap. Sociopath. Prolific writer. Managing editor for a journal of sorcerous metereology.
  5. Dward Blue. Former jolly postman. Current grouchy mech driver. Chain smoker. Mood made worse by the expedition's limited stock of booze and their current inability to get out of here on a moment's notice if things gone wrong.
  6. Grace Isthmus. Gingerbread mechanic. Green-skinned and covered in warts. Wears black overalls, bright red sequinned shoes, a permanent grin. Omnidirectionally overoptimistic. Very confident. Loves her job. Currently trying to work out why the gingerbread engine in Knee #3 won't start.
  7. Snid Kipper. Dogsbody. Young, anxious, splay-eared. Self-consciously amateur bagpiper and even more amateur poet. Very earnest.
  8. Chunk. Team mascot. Salamander. Little salamander collar with her name on it. Sleeps in the main boiler. Eats coal kibble. Very fat.

 

Red ribbon divider. 

 

Random hex encounters (1d10):

Five transient snow creatures (the first five entries of the table below). Illustrations by Milkyblood.

  1. Jessica Bonechill. Transient snow creature in the form of an axe-wielding skeleton. Mercenary for hire, briefly. She wears a windbreaker and complains of the cold.
  2. Magus Glace von Zephyrous. Transient snow creature in the form of a pretentious floating wizard. Capable of casting up to fourth level spells, but will thoroughly indulge his fondness for riddles before being any help at all.
  3. Mister Hiphup. Transient snow creature in the form of a snowman. Hiking through the snow, eager to explore this new world he has found himself in, unaware he will live only a few more hours
  4. Megafrosty. Transient snow creature in the form of a gigantic three-headed snowman. Sings in a robotic voice. Has false memories of having lived thirty centuries. Dislikes solemnity and may attack the maudlin.
  5. Ia Snowhorn. Transient snow creature in the form of a fearsome ice centaur. He is struggling to traverse the snow on icicle legs which sink knee-deep with every stride.
  6. Kel Brittlegrasp. A young wandering robling, curious about foreigners.
  7. A small team of gnomes wearing piping hot steamsuits for warmth. They are crossing the snow on coal-burning sledges on a long journey to the big city. All of them are accomplished builders and interior designers, absolutely desperate for work (perhaps at a place like this).
  8. Three roblings (Bok, Twik, and Winston) armed with spears and big empty sacks, stalking a small herd of reindeer across the snow.
  9. A small herd of reindeer.
  10. Snid Kipper from the W.A.I., looking for a bit of solitude to practise the bagpipes. He keeps bumping into slightly simple-minded transient snow creatures and is finding it hard to shake them.



Red ribbon divider. 

 

Rumours about this hex (1d8):

  1. There's a whole town of grinning demons out beyond the steppe, dark green like the algae-slick walls of an old well. They live to steal.
  2. A privately-funded research group has sent an expedition armed with gingerbread technology after something valuable out in the deep snowfields.
  3. There's a place where the snow gets up and walks around, asking confused questions.
  4. There was a string of odd thefts a couple of decades ago. Mrs Clause's rocking chair. The key to the city of Sniffleheim. The Tongs of the Heat Miser. Things that have never been fenced.
  5. Some strange naive chap walked down from the hills. He was white as snow and dressed in strange baubles. He got drunk enough at the public house to cause problems, and couldn't pay his tab. When they opened up the gaol cell the next day there was nothing left of him but a puddle.
  6. The Red Lord has been furious about a break-in which he was never able to avenge. He's put a big bounty on the head of something called a 'robling'.
  7. If you find a place where odd folk are birthed from the snow itself, the flowering lichen there should be cut under a full moon, dried, powdered, and burned as incense. You'll have oracular visions.
  8. Up beyond the snowline there's an orc spawning pit that went wrong and all the orcs there are obsessed with theft.


Red ribbon divider. 

 

Credits

The text of this post is released under a Creative Commons BY (4.0) license. Do what you like with it as long as you follow the terms: credit me, link here, and link to the license.

The illustrations incorporated here are by Alderdoodle (alderdoodle.co.uk), Joe-Austin Flynn (www.patreon.com/c/u95234086/), Evlyn Moreau (www.patreon.com/c/evlynmoreau/), Steven Colling (https://stevencolling.itch.io/), and Jeffrey Koch (https://legacy.drivethrurpg.com/browse/pub/26533/Jeff-Koch-Stock-Art). Used with permission.

Monday, 3 November 2025

Wikipedia rabbit holes

Earlier this year I published two strange fantasy zines, Wiki Articles Are Wizards [citation needed] and its companion volume, 30 Wicked Wizards.

 

In researching and playtesting for these zines, I ended up going down dozens of Wikipedia rabbit holes. I've selected more than fifty articles that are great in their own right and/or lead to all sorts of interesting information if you start poking around.

Some of them would translate into very interesting fantasy ideas. (Giant virus! Unstoppable metal-eating plague! Artefacts powered by magic smoke!) They might make useful jumping-off points for your next game.

For your perusal, a big list of links:

Enjoy!

Friday, 31 October 2025

Overzealous: Your cult has no chill!

You are a long-forgotten god. You’re benevolent and mighty, and ready to manifest in the mortal world! Unfortunately, the cult of worshippers who aim to summon you are weird, bloodthirsty fanatics.

Your cultists sure are OVERZEALOUS!

 

Here comes trouble! Cartoon cultists engaged in various kinds of mayhem
 

A pen-and-paper game

This is a solo RPG I've been developing, which revolves around dealing with your overenthusiastic cultists. It's tightly focused on dice-based cartoon mayhem!

You play to win, trying to keep your cult on track. If you fail, it'll all fall apart, sending you back into the sleep of centuries. There's light colony management aspects, lots of random tables, and a chaotic energy to gameplay.

 

Book covers mockup

 

My aim with this Kickstarter project is to pay for the costs of layout and print production. Sign up for notifications to get the game at a cheaper price and directly support my work!

https://www.kickstarter.com/projects/periaptgames/overzealous-your-cult-has-no-chill?ref=dhl826 

 

Book interior mockup

"You don't get to choose your worshippers"

👁️ Watch from the void. Puzzle over the bizarre squabbles of your followers.

👁️ Gently guide them towards your immanentisation.

👁️ Try to keep them on track. Wait, are they stabbing each other again? Damn it.

 

Two cartoon cultists worship an eldritch being
 

 

Saturday, 18 October 2025

One more generative AI rant for the pile

(this one's about summarising text)

LLM chatbots – that is AI, in the same sense that we could just start saying "doctors" to refer specifically to orthopaedic wrist surgeons if we collectively decided to – 

LLM chatbots continue to slosh about the world. I used to try them out intermittently to see if they were any good.

My contact with the technology is only incidental these days. To wit:

  • If you google old phrases and terminology in English, a LLM chatbot will still confidently weigh in with completely spurious "definitions" because they're not well-represented in the training data.
  • If you google modern bits of even slightly less-discussed technical knowledge like "does a Kickstarter project video appear on the prelaunch page", a LLM will still confidently tell you the opposite of the truth.
  • If you need customer support or anything that even looks like customer support, there is an extra quarter-hour minimum of wasted bot effort before you can get it.

Nothing I've seen has suggested the technology has fundamentally changed.

 

A monkey writes on a scroll. Image by John Batten.
He can't be wrong, he writes so confidently.

 

In the previous edition of discussing the emperor having no clothes, I mentioned  

[Wikipedia] editors pointed out that the LLM summaries generally ranged from 'bad' to 'worthless' by Wiki standards: they didn't meet the tone requirements, left out key details or included incidental ones, injected "information" that wasn't in the article, and so on

and 

bureaucratic wonks note that genAI can't summarise text. It shortens it and fills in the gaps with median seems-plausible-to-me pablum. The kind you get when you average out everything anyone has ever written on the internet.

I recently saw an AI booster shuffle their position back to "at least it's good for summarising, it's going to completely replace human effort there". With that motivation, let's drill down a bit.


In (a) summary

Let's not bury the lede. LLM chatbots can't produce good summaries. Sometimes by chance yes, but not reliably. Summarising, like everything, is a skill-based task, and of the various capabilities required to do it well, LLMs lack four of the most important.

1. LLMs won't reliably retain important structure or order in which information is presented. They will just haphazardly obliterate implicit linkages. They will even occasionally discard explicit structures, as when the text itself points out that C follows from A and B, and therefore D.

2. LLMs can't identify the most important information in a text (a necessary first step to preserving it in the summary). In a good summary, certain content "should" be retained, certain content compressed, and the remaining content discarded. Vital information generally isn't identified within the text in a way that's detectable without broader context, language skills, and understanding of the world. Even when it is, e.g., in texts where repetition of a word corresponds directly to importance, or phrases like "this is vital information" are always appended, LLMs still aren't guaranteed to retain important details! And the same applies to cutting out unimportant information.

3. LLMs can't stick to the source text, that is, the content they're meant to be summarising. Because they just generate text (by predicting which bits of text should come next, based on an enormous model of which bits tend to come after which bits, hence 'language model'), there's no internal representation of Things 'In' The Language Model versus Things 'In' The Text To Be Summarised, and no impetus to perform computational operations that keep them separate where appropriate. All of which is to say that as well as not including things that should be in a summary, an LLM will readily include things that shouldn't be. Oops

3(corollary). That includes things that aren't true. Oops(corollary)

4. LLMs will sometimes just negate statements for no clear reason. When processing text, e.g. when directed to "summarise", they'll turn a claim into the opposite claim. I think what's going on here is that a statement and its negation are syntactically and semantically similar, even though their meanings are devastatingly dissimilar. Too bad LLM technology doesn't get meanings involved, instead just taking a probabilistic walk through a model of language features like, oh I don't know, syntax and semantics!

Note what these four crucial capabilities have in common. It's the reason why LLMs can't do them. That's right, they require understanding to do properly.

Or if not understanding, then at least computational models of understanding, like formal reasoning over symbolically-encoded domain knowledge including useful axioms. I mention this because classic AI systems (planners, searchers, problem solvers, etc) can do just that, in their various limited ways. They symbolically represent domain information and then perform operations on those symbols which can then give something potentially useful back once related back to domain information.

And those systems are limited, yes, but LLMs don't do 'understanding' at all. As far as I can tell, on the back of a postgrad compsci degree and a few days spent reading and partly understanding the computational basis, this is a fundamental limitation of the technology. One which can't just be fixed, but which would need a whole new (at most LLM-inspired) technology to overcome. For exactly the same reason why AI "hallucinations" can't be fixed.

 

Presummary (a digression)

This technical basis of how LLMs work also explains something else. These chatbots are particularly bad at "summarising" documents which contain surprising content.

By surprising content, I mean...

➡️ Statements seeming to defy common wisdom. Things that are the opposite of statements well-represented in the training data. When X is generally true of a field, but your text describes how ¬X is true of some narrow subfield or specific context, you'll see an LLM "summarise" X into ¬X more frequently.

➡️ Deliberate omissions of things that are usually in correlating training data documents. If your text looks like a text of type blarg, and blarg texts in the training data typically report on X, but you have not reported on X for your own reasons, an LLM is likely to just make something up about X while "summarising".

➡️ Unusual pairings of form and content. Performance degrades the more you ask an LLM to do something novel.

➡️ Context-sensitive language like metonyms and homographs. When X is a big important noun well-represented in the training data and X refers to something else in the text, you'll see an LLM (appear to) get confused by the statements about X its produces for the "summary".

➡️ Nontextual information content. The LM stands for language model. If you have a report that includes and discusses images and diagrams, a chatbot might be able to stop and parse those, and then incorporate its own description of the image as part of the text to be summarised, and maybe even put images back in the summary. But you'll nonetheless end up with a worse output.

 

In summary (but for real)

So LLM chatbots can't be (consistently, reliably, etc) good at summarising.

Of course people who don't know what a good summary is might not notice this; likewise people who possess the skill but don't carefully check the job they told it to do.

(I would argue that in either case, if the task was worth doing to begin with, you should prefer the task not getting done to having no idea whether your document is a good, adequate, or terrible summary)

Anyway this is why you may have seen people who do know what a good summary is point out that LLMs actually "shorten" text rather than "summarise" it. I'm not certain but I think the first time I saw this was in one of Bjarnason's essays.

The sentiment "this technology sure can't do [thing I am skilled at] for shit, but I guess it might be good at [thing I don't know about]" will continue to carry the day as long as people let it

I'll self-indulgently close by quoting myself again:

A lot of people with a lot of money would like you to think that genAI chatbots are going to fundamentally change the world by being brilliant at everything. From the sidelines, it doesn't feel like that's going to work out.


Tuesday, 14 October 2025

1d20 Megadungeon Safety Code Violations

It's almost as if the archlich-in-chief didn't have everyone's safety in mind!

(Lousy no-good penny-pinching archlich-in-chief.)

 

Safety warning sign. Finger crush hazard.

 1d20 Issues The Inspectors Bring Up In Their Initial Report:

  1. Sixteen cases of poisoned darts shooting from walls without warning signage 
  2. Lit torches in corridor RM-70-B burning within two metres of hanging tapestries
  3. Thirty-storey staircase lacks railing or other cordon around open stairwell
  4. Inadequately ventilated throughout (see attached list of 781 affected rooms)
  5. Chasm bridge constructed from inadequate materials. Code requires use of steel cable, tethers
  6. Insufficient drainage ducting to prevent floods on floors B2 through B29  
  7. As-built construction plans yet to be lodged with regional fire rescue co-ordinators
  8. Shrine Of Darkness should be electrically insulated against celestial lightning
  9. Enormous boulder insufficiently shored up with mechanical apparatus; risk it could fall and roll
  10. Hellfire conjuration chamber not adequately equipped with hellfire suppression equipment
  11. Giant mushrooms pose unacceptable spore allergen/asphyxiation risk
  12. Several parts of floor B30 are exposed to magma flows (not a safety code violation; brought up as a point of overall concern)
  13. Unholy Water Cistern not shielded against heavy metals found in local groundwater 
  14. Too few first aid kits (three per floor; code calls for five)
  15. Human remains not maintained at morgue temperatures, and allowed to move around freely
  16. Floor B7 torture chambers not accessible by ramp or elevator
  17. Cursed font of immortality lacks fence to prevent accidental drownings
  18. Black, yellow, ochre, blue, umbral, and invisible mold found in food preparation areas
  19. High-visibility safety lines should be painted in zones where ambulatory juggernaut roams
  20. Giant talking stone head is blocking fire exit
 
 Safety warning sign. Lurking alligator.

(Yikes. Well at the pace stuff gets fixed around here, better hope they shut the worksite down before someone gets hurt.)

Blogwagon: The Transient Snowfields

Merry hexmas! Here's a weird hex I made for  Prismatic Wasteland's end-of-year blogwagon . Use it however you like! Creative commons...