homeless ( zero-rent )

i just read this: https://reddit.com/comments/1w01y1f

With this move Nvidia is not only acquiring the HuggingFace platform, but they might also effectively acquire the copyright to the llama.cpp project, together with the entire team behind it.

In February 2026 the llama.cpp team was employed by HF in order to continue working on llama.cpp and the ggml library.

This includes:

• Georgi Gerganov
• Xuan-Son Nguyen
• Aleksander Grygier
• Victor Mustar
• Lysandre
• Julien Chaumond

Now with the acquisition, llama.cpp’s future looks a lot less certain given Nvidia’s poor track record with open-source.

This is still rather speculative at this stage, but it’s definitely possible for the llama.cpp project to change in the future: either by switching to a different license, or by having staff redirected to other projects within the larger company.

Even when a project is open-source the copyright owner has complete control over it, and they can change licensing as they wish.

This has happened before with projects like Redis, Minio, and others.

Source:

https://huggingface.co/blog/ggml-joins-hf

Edit:

The original announcement from Feb 2026 from Gerganov gives a few more details:

https://github.com/ggml-org/llama.cpp/discussions/19759

this site seems to be better than others ive seen : https://llama.garden/
complaints - the torrents are packs of all different quants … or some are just safetensor files.

ok. my mistake.
either way…
i would think you could just use a web browser. but sometimes app is more preferable

i dont think you need google play services for banking.
furthermore, i disabled play services. i dont need it for 99% of apps.
sometimes theres one cool heavily proprietary app that forces you to use it. sucks. and i just gotta uninstall it.

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 cant get any LLMs to consult reddit at this point.

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 suspect, shit like this is going to prompt some idiotic supreme court verdict is going to be set in stone for the next 10 years. example: https://en.wikipedia.org/wiki/City_of_Grants_Pass_v._Johnson
if its not a guarenteed win, then dont push it to supreme court level. the consequences are severe for everyone.

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))

if you start excluding the 1000+ B param models …
using smaller models, would initially ease hardware demand by 60% .
OFC you cant… and probably shouldnt, ignore and disrespect SOTA flagship models

i wish we could focus on making small LLMs better.
some companies are doing this. some definitely aren’t

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!

maybe youtube wants us to switch to torrents.
piracy? yes.
but they(youtube) honestly cant even afford to serve the content and remain profitable.
so…

gemini protocol