In Germany it is possible to register an ENUM domain for a phone number. This provides a DNS mapping from the E164 number to DNS records, e.g. for IP phones, etc.
Decentralized and under user control, no shitty silos like FaceTime, WhatsApp.
ENUM stands for “Telephone Number Mapping.” It is essentially a bridge between the world of telecommunications and the Internet. With a single ENUM domain, you can combine all your contact options under your familiar phone number:
The hierarchical geographical domains you are remembering must have been the 2000 '.geo' Top Level Domain (TLD) proposal from SRI. It didn't work out, but I remember thinking at the time that it was a cool idea.
It would have provided geographical information based on a domain encoded grid, not for human but machine consumption (e.g. acme.2e5n.10e30n.geo).
A 11 year old dupe, I know. But first time I’ve seen it, and it just added to my admiration for him. And, it’s just as applicable today as it was 24 years ago!
Edit: Sorry, I'm not sure if this is a quant, but it says 'finetuned' from the Google Gemma 4 parent snapshot. It's the same size as the UD 8-bit quant though.
For the best quality reply, I used the Gemma-4 31B UD-Q8_K_XL quant with Unsloth Studio to summarize the URL with web search. It produced 4.9 tok/s (including web search) on an MacBook Pro M1 Max with 64GB.
Here an excerpt of it's own words:
Unsloth Dynamic 2.0 Quantization
Dynamic 2.0 is not just a "bit-reduction" but an intelligent, per-layer optimization strategy.
- Selective Layer Quantization: Instead of making every layer 4-bit, Dynamic 2.0 analyzes every single layer and selectively adjusts the quantization type. Some critical layers may be kept at higher precision, while less critical layers are compressed more.
- Model-Specific Tailoring: The quantization scheme is custom-built for each model. For example, the layers selected for quantization in Gemma 3 are completely different from those in Llama 4.
- High-Quality Calibration: They use a hand-curated calibration dataset of >1.5M tokens specifically designed to enhance conversational chat performance, rather than just optimizing for Wikipedia-style text.
- Architecture Agnostic: While previous versions were mostly effective for MoE (Mixture of Experts) models, Dynamic 2.0 works for all architectures (both MoE and non-MoE).
Is the software still attractive to use, after all those years, or why are you going to these extremes? Sounds it's somehow intimately intertwined with the dongle, if the check routines can't simply be patched.
Wow, I just remembered using AES when I wrote an 'accessory' (menu bar app) that converted bitmap to vector for an ST DTP app that supported both. An early form of plugin I suppose. Pretty ahead of the MS mess at the time.
Apple sued DRI, which resulted in the crippling of GEM, the glaring one I remember were static windows. You heard that right, windows were not resizable but had fixed screen locations in the PC version.
Thankfully Atari licensed GEM for their 68000 machines before the lawsuit, and wasn't affected by these changes. The Atari ST (Sixteen/Thirtytwo) was very Mac like at the time. It even ran the Mac OS from Apple ROMs (Spectre 128 and Aladin) on its much cheaper hardware.
When the Mac and Atari ST first hit the market in the 80's, there were Comics created in this 1-bit "ordered-dither" style. For error-diffusion dithering (Floyd-Steinberg etc.), you needed more bits per pixel, to carry the error.
https://incidentdatabase.ai/cite/51/