i should have emphasized or rephrased “ideally” to be more like… “in an ideal/idealistic world/utopia”.
but i think one of the biggest reasons, is that it attracts toxic users, and then pushes away users who want to have less adversarial discussions.

dead-simple intro :
ctrl-d stops a single torrent (twice to remove. i suggest keeping a backup directory for torrent links)
ctrl-s starts a single torrent
ctrl-x to invoke the command prompt
right arrow to inspect settings for a torrent
ctrl-q to quit

throttle idk

im not really declaring a stance on this. ( ideally, social media participant shouldn’t have stances or agendas).
but based on historical fact…
in my previous city, when there was a major law enforcement controversy…
they raised officer salary by 28% -45% .
so… damn, that aloot of $$$ .
what are the consequences of that?
there are good and bad consequences.
in that specific case, it may have been possible because the city had the funds for it. (or perhaps every city does).
otherwise, gotta implement a new tax to pay for it… or redirect resources.

3 ideas:

1. create new torrents to seed
2. figure out how to partially download popular torrents and seed them.
3. start hosting your own [secure] tracker (for trusted friends)

RE: xiaomi 18 fold :

• likely initially china only
• actual ram type is unknown

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

i think intelligence agencies just collect data on everyone and for any profitable purpose. so i dont exactly** think that this is a new threat. its the same threat but a little more focused.

hell yeah

i dont want to share it. but it was easy to add a little more description for basic criteria in the request. although, i did not detail a step-by-step process for drawing.
i had this idea to feed it an actual image, to base the drawing on. but i wasnt able to. llama.cpp seems to be messed up[esp vulkan pkg](and also i probably dont know the proper way to utilize features(if they even exist for a model))

i was using qwen and somehow it offered a how-to guide about how to gently help a loved-one escape a cult. it seemed random but, the more i think about it… it seems applicable to lots of life problems. idk what it says about society or humans. maybe just that stubborness and fixed-thinking is a common, difficult, and harmful problem in society.

im not bothered by it.
but also… i wouldn’t use it as my sole model to perform every task. [waves hand toward huggingface.] ( a gazillion bajillion models, specialized for all types of tasks).

edit: i checked. and there aren’t as many models as i expected, for this task(didnt test them). and… small multimodal model failed badly(see picture of the iguana … or whatever the hell that is)
it’s a strange benchmark. but it seems reasonable to expect LLMs to be able to do this.

gemini://kennedy.gemi.dev/

evidence of preparation on modelscope changelogs.
also “more sizes”

q 35b a3 is expected soon!

theres also https://europepmc.org/

shoutout to yggdrasil
https://yggdrasil-network.github.io/

tiktok does ths, reddit does this.
discord says they wont sell your data, but doesnt say wether they use it to train their own AI

i think a key consideration is wether there are alot of developer for the lang.
a foss project will grow faster if its written in rust,js,cpp,python

hurricane harvey was pretty bad. 50k-100k crisis refugees .

also should appreciate seeders who are the sole seeder for (otherwise) dead/lost torrent