https://github.com/yggdrasil-network/public-peers/blob/master public peers were probably chosen because they are always online, and probably high performance vps which you can set in your config file.
but maybe this https://yggdrasil-network.github.io/2018/07/28/addressing.html is a better answer to your question

hes kinda like the spokesman czar of the industry+stakeholders interests

cheapest phone on ebay is $25. spend the rest on accessory, dataplan, and chatgpt

this site is confusing. i hit the little arrow by the file to download the .torrent file. it downloads the entire model from HF in 3 seconds and blows through a gigabyte of my phones data. wtf.
luckily that outcome was not too horrible. and i actually got a good GGUF.

recently discussed here https://reddit.com/comments/1x29q4a

i think its great that people are creating a whole bunch of jev-type datasets. the dream is that jev-type models somehow improve (probably to cover more diverse domains and uses).

my theory: i feel like the first wave of any product is overhyped and has less accountability to deliver.

"Hoverboards (2015) The “self-balancing scooter” became a global sensation almost overnight, with demand skyrocketing across retail and online markets. Because manufacturers rushed to meet this sudden explosion in demand, quality control was ignored. This led to a wave of defective lithium-ion batteries that frequently overheated and caught fire, resulting in massive recalls and bans in several countries.

The Segway (2001) Before its release, the Segway was shrouded in extreme secrecy and hype, with some predicting it would “change the way cities are built.” When it finally launched, the reality didn’t match the excitement; it was too bulky for sidewalks, too slow for roads, and far more expensive than consumers were willing to pay for its actual utility. "

straight off the top of my head… Blu-ray . everyone said it was better. it triggered the need to have “the latest greatest tech” but now… i dont even know how that would have benefited me, personally. it would have been more rational if they had a more tangible benefit… like a smaller disk.

also gameboy. …however i cant think of any criticism aside from costing alot.

for one test, i felt a bit disappointed on this prompt: answer(sample):

Most software engineering tasks involve much more than just relational data or logical inference. Here’s what Prolog struggles with:
                                                               #### 1. **Data Complexity & Type System**
- Real-world data includes strings, numbers, dates, JSON, XML, images, audio, etc.

in comparison… every 2B-4B distill model, immediately launched into deeper explorations and answers.

my evaluation:

• deceptively good. the answer isnt flashy but actually a decent summary with many subtle,but important, points.
• prompting matters.
• smaller models are on par for simple prompts like this. but performance and speed is fantastic. so there is no not much cost difference.

anything you want it to be.
be creative !

LLM answer:

- Tracking Pixels and Web Beacons
- Email-Open Tracking
- Email Link-Click Tracking
- Advertising Impression Tracking
- Conversion Tracking
- Social-Media Pixels
- Analytics Tags and Tag Managers

- IP Address and Network Tracking
- IP-Based Geolocation
- ISP, ASN, and Organization Identification
- Household and Network-Level Matching
- VPN, Proxy, and Tor Detection
- Network Reputation and Fraud Scoring

- URL and Referral Tracking
- UTM Parameter Tracking
- Advertising Click-ID Tracking
- Affiliate and Referral-ID Tracking
- Email Campaign-ID Tracking
- Link Decoration
- Redirect-Chain Tracking
- Cross-Site Identifier Propagation
- HTTP Referer Header Tracking

- HTTP Header and Cache Tracking
- User-Agent Tracking
- Client Hints Tracking
- Accept-Language Tracking
- ETag Tracking
- Cache-Control and Last-Modified Tracking

- Browser Storage Tracking
- First-Party Cookies
- Third-Party Cookies
- LocalStorage and SessionStorage Tracking
- IndexedDB Tracking
- Cache Storage Tracking
- Shared Storage Tracking
- Service-Worker Storage Tracking
- Evercookies and Identifier Respawning
- Supercookies
- HSTS Supercookies
- Favicon Cache Tracking
- TLS Session-Resumption Tracking

- Browser Fingerprinting
- Browser, Version, and Operating-System Fingerprinting
- Screen, Viewport, Color-Depth, and Device-Pixel-Ratio Fingerprinting
- Time-Zone, Language, Locale, and Keyboard-Layout Fingerprinting
- Installed-Font and Font-Rendering Fingerprinting
- Canvas Fingerprinting
- WebGL and WebGPU Fingerprinting
- AudioContext Fingerprinting
- GPU and Graphics-Driver Fingerprinting
- CPU Core, Device-Memory, and Hardware-Concurrency Fingerprinting
- Touchscreen, Input, and Device-Capability Fingerprinting
- Camera, Microphone, and Media-Device Fingerprinting
- Browser Extension, Plugin, MIME-Type, and PDF-Viewer Fingerprinting
- CSS Feature and Media-Query Fingerprinting
- Browser API Availability Fingerprinting
- WebRTC and Local-IP Exposure
- Network Information API Fingerprinting
- TLS, JA3, and JA4 Fingerprinting
- HTTP/2 and HTTP/3 Protocol Fingerprinting
- DNS Resolver Fingerprinting
- Clock-Skew and Performance-Timing Fingerprinting
- Sensor Fingerprinting
- Motion, Orientation, and Ambient-Light Sensor Fingerprinting
- Speech-Synthesis Voice Fingerprinting
- Emoji and Text-Rendering Fingerprinting
- Math, Floating-Point, Error, and Exception Fingerprinting
- Browser Automation and Bot-Detection Fingerprinting
- Combined and Probabilistic Fingerprinting

- Account and Login-State Tracking
- Logged-In Account Tracking
- Login-State Detection
- Single Sign-On Tracking
- OAuth and Social-Login Tracking
- Embedded Social-Widget Tracking
- Account-Recovery Identifier Matching

- Cross-Device and Identity-Graph Tracking
- Login-Based Device Linking
- Hashed Email and Phone-Number Matching
- Probabilistic Device Matching
- Data-Broker Identity Resolution
- Offline-to-Online Data Matching
- CRM and Customer-Data Matching

- Server-Side Tracking
- Server-Side Analytics
- Server-Side Tag Management
- Server-to-Server Event Tracking
- Advertising Conversion APIs
- Purchase, Order, and Lead-Event Sharing

- Behavioral Analytics and Session Replay
- Mouse-Movement Tracking
- Scroll-Depth Tracking
- Click and Hover Tracking
- Keystroke and Form-Interaction Tracking
- Heatmap Tracking
- Rage-Click Detection
- Dwell-Time and Engagement Tracking
- Form-Abandonment Tracking

- Push-Notification Tracking
- Web Push Subscription Identifiers
- Mobile Push Tokens
- Notification Engagement Tracking

- Mobile-App Tracking
- Mobile Advertising IDs
- App Instance and SDK Identifiers
- App-Install Attribution
- Deep-Link Tracking
- Mobile Device Fingerprinting
- Mobile Location Tracking

- Location Tracking
- GPS Location
- Wi-Fi Network Location
- Bluetooth Beacon Location
- Cell-Tower Location
- Nearby Device and Network Discovery

- Embedded Third-Party Content Tracking
- Embedded Video Tracking
- Embedded Map Tracking
- Comment-Widget Tracking
- Payment-Widget Tracking
- CAPTCHA and Anti-Bot Widget Tracking
- Third-Party JavaScript Tracking

- DNS and Domain Cloaking
- CNAME Cloaking
- First-Party Subdomain Tracking
- Domain Alias Tracking
- DNS Query Tracking
- DNS Prefetch Tracking

- Advertising and Attribution Tracking
- Real-Time Bidding Tracking
- Ad-Exchange and Demand-Side Platform Identifiers
- Retargeting and Remarketing
- Frequency-Capping Identifiers
- View-Through Attribution
- Multi-Touch Attribution