chore: tab4 for markdown (matches markdownlint + the md spec)

Author: tazlin

.prettierrc

@@ -6,5 +6,13 @@
   "semi": true,
   "singleQuote": true,
   "endOfLine": "lf",
-  "htmlWhitespaceSensitivity": "css"
+  "htmlWhitespaceSensitivity": "css",
+  "overrides": [
+    {
+      "files": "*.md",
+      "options": {
+        "tabWidth": 4
+      }
+    }
+  ]
 }

docs/kudos.md

@@ -12,21 +12,21 @@ This means that **kudos are the fundamental unit of exchange of resources on the
 
 - **Kudos never expire.**
 - **It is against the [Terms of Service](https://aihorde.net/terms) to sell or buy kudos.**
-  - We _do_ offer kudos as a thank-you if you [donate](https://www.patreon.com/db0), however, the kudos you receive are offset by kudos earned by workers run by the core developers.
-  - Kudos _can_ be freely exchanged between users for any reason other than for currency (legal tender, crypto, or any other similar unit of exchange).
-  - For example, users may gift kudos to each other as a gesture of gratitude or to support new members of the community.
+    - We _do_ offer kudos as a thank-you if you [donate](https://www.patreon.com/db0), however, the kudos you receive are offset by kudos earned by workers run by the core developers.
+    - Kudos _can_ be freely exchanged between users for any reason other than for currency (legal tender, crypto, or any other similar unit of exchange).
+    - For example, users may gift kudos to each other as a gesture of gratitude or to support new members of the community.
 - **Kudos are designed to facilitate fair exchange of compute resources and prevent commodification.**
-  - This ensures that access to resources remains equitable and prevents external financial pressures from distorting the kudos system.
+    - This ensures that access to resources remains equitable and prevents external financial pressures from distorting the kudos system.
 - **The total number of kudos in your account determines your starting place in line when queuing a job.**
-  - The more kudos you have in your account, the higher priority your job will have in the queue. Anonymous users start with 0 kudos, while registered users have at least 25, giving them an advantage when queuing jobs.
-  - If two users have the same kudos and they were to submit a job at the same time, they can expect that both jobs would return in about the same amount of time.
+    - The more kudos you have in your account, the higher priority your job will have in the queue. Anonymous users start with 0 kudos, while registered users have at least 25, giving them an advantage when queuing jobs.
+    - If two users have the same kudos and they were to submit a job at the same time, they can expect that both jobs would return in about the same amount of time.
 - **Unspent kudos are a donation to the community**
-  - Workers who choose to not spend their kudos are effectively donating their resources to the project.
+    - Workers who choose to not spend their kudos are effectively donating their resources to the project.
 - **Kudos can be earned by running [a worker](https://github.com/Haidra-Org/horde-worker-reGen) and contributing to the Horde.**
-  - You get kudos simply by being online ([uptime kudos](definitions.md#uptime-kudos)) and available as a worker, in addition to earning kudos for successfully completed jobs.
-    - Note: New users have their kudos earned for [uptime](definitions.md#uptime-kudos) held in escrow until they become [trusted](definitions.md#trusted), which happens automatically after a certain amount of uptime and jobs successfully submitted. At that point they receive the escrowed kudos and full rewards immediately going forward.
+    - You get kudos simply by being online ([uptime kudos](definitions.md#uptime-kudos)) and available as a worker, in addition to earning kudos for successfully completed jobs.
+        - Note: New users have their kudos earned for [uptime](definitions.md#uptime-kudos) held in escrow until they become [trusted](definitions.md#trusted), which happens automatically after a certain amount of uptime and jobs successfully submitted. At that point they receive the escrowed kudos and full rewards immediately going forward.
 - **You do not need a powerful GPU to earn Kudos.**
-  - Besides gifts and image workers, you can participate in Discord Bounties, rate images, or run text generators and interrogators (for less potent GPUs) to earn Kudos.
+    - Besides gifts and image workers, you can participate in Discord Bounties, rate images, or run text generators and interrogators (for less potent GPUs) to earn Kudos.
 
 ## Priority System
 
@@ -41,20 +41,20 @@ By striking a balance between rewarding contributors and ensuring fair access fo
 Here are some practical reasons why participating as a worker in the AI Horde system might be beneficial to you or your service:
 
 - **Reducing GPU/compute downtime**
-  - If you offer a service that has infrequent (or at least, not-constant) usage, you can "bank" kudos from the AI Horde by running a worker. If it is configured correctly and with sufficiently popular models, it will have a continuous amount of work generating kudos.
-  - By earning kudos during periods of downtime, you can later use them when you need faster or higher-end services from the platform.
+    - If you offer a service that has infrequent (or at least, not-constant) usage, you can "bank" kudos from the AI Horde by running a worker. If it is configured correctly and with sufficiently popular models, it will have a continuous amount of work generating kudos.
+    - By earning kudos during periods of downtime, you can later use them when you need faster or higher-end services from the platform.
 
 - **Converting lower-end GPUs to higher-end results**
-  - Lower-end GPUs are still valuable to many users, but the models they can run (like SD1.5 or smaller low-parameter text models) might not meet your needs. By operating a worker and accumulating kudos, you can use the compute time from your lower-end GPU to request results from more powerful GPUs capable of running larger models.
+    - Lower-end GPUs are still valuable to many users, but the models they can run (like SD1.5 or smaller low-parameter text models) might not meet your needs. By operating a worker and accumulating kudos, you can use the compute time from your lower-end GPU to request results from more powerful GPUs capable of running larger models.
 
 - **Improved instantaneous concurrency**
-  - On the AI Horde, each generation request is processed by a separate worker. If you need more results per second than your GPU can provide, running a worker allows you to build up kudos and make multiple requests simultaneously.
-  - For instance, if you need to generate a batch of 50 images quickly, your kudos allow you to split the work across multiple workers, drastically reducing the time required for completion.
+    - On the AI Horde, each generation request is processed by a separate worker. If you need more results per second than your GPU can provide, running a worker allows you to build up kudos and make multiple requests simultaneously.
+    - For instance, if you need to generate a batch of 50 images quickly, your kudos allow you to split the work across multiple workers, drastically reducing the time required for completion.
 
 - **Altruism**
-  - Most kudos earned by workers go unspent. Unspent kudos are effectively a donation to users of the service who do not have kudos.
-  - By earning and leaving kudos unspent, workers contribute to the broader public, ensuring that users without kudos can still benefit from the platform.
-  - Workers may have [ideological reasons](why.md) such as supporting open-source initiatives, promoting decentralized AI development, or ensuring fair access to generative AI tools.
+    - Most kudos earned by workers go unspent. Unspent kudos are effectively a donation to users of the service who do not have kudos.
+    - By earning and leaving kudos unspent, workers contribute to the broader public, ensuring that users without kudos can still benefit from the platform.
+    - Workers may have [ideological reasons](why.md) such as supporting open-source initiatives, promoting decentralized AI development, or ensuring fair access to generative AI tools.
 
 ### Use Cases