187 karma · joined February 10, 2020
> In cases where RCS is able to operate over cellular networks without data, it supports messaging as well as file transfer, enriched calling, and more.
[0]: https://en.wikipedia.org/wiki/Rich_Communication_Services
That might not be an issue for your situation, but I recall the benefit of something like Quad9’s offering is the encryption between client and their endpoint(s), particularly for untrusted ISP or similar.
In my opinion, if the analysis is offloaded to the plagiarism machine, it loses all epistemological value.
"""A Roman idiosyncrasy about counting reinforced this avoidance. The 360 degrees of longitude, for example, were always measured from the vernal equinox, which lies in the zodiacal sign of Aries. This should be zero degrees, 0°. It was common, however, to call it instead 'the first degree', Aries 1°, as Pliny did around 60 AD, upsetting his calculations and those of many who followed him. It amounts to this: if you lay out four marks on the ground and step from the first to the last, have you taken three paces or four? Clearly three; yet four marks were involved. To get the right answer it helps to call the starting-line 'zero'; then the number at the mark you step on will correspond to the number of your steps. But the Romans counted so that three days after Sunday was Tuesday; the Italian for the fifteenth century is the quattrocento — and all of us still call the two steps in music from C to E a major third, taking the number from the three tones involved."""
I wouldn't say that the set that has one element, labeled 0, _has_ zero elements; it has one element with the label 0. Right?
[1] https://github.com/richlegrand/bitbang/blob/main/whitepaper....
However, this following quote has a simple reason that I don’t see anywhere in the article or framework:
“”” Why is there a huge gap between what people in various occupations could be using AI for and what they’re actually using it for? One reason could be that people are slow to adopt technology, and that’s certainly part of our framework. “””
I would like to add a reason: that the Silicon Valley companies who developed the LLMs are brigands: cognizant of their actions, they have stolen (and continue to steal) the world’s copyrighted material and are selling it back to the masses and the politicians as if they are the arbiters of information itself.
Specifically responding to the quoted question, I could be using Claude or ChatGPT or Grok or DeepSeek or any other to have come up with this comment, or to write emails, or to implement my Python for me, etc., but I use none of them for anything. Doing business with brigands is a choice, and a choice that I hope becomes less and less palatable so that the financial, political, social, and moral fever that is our zeitgeist finally breaks.
If this is one of the defining tenets of this data system, is it not DOA? See also: the PGP key-signing parties that never were…
It is, by orders of magnitude, larger than any deployment that I have been a part of in my work experience, as a 10-year data scientist/Python developer.
Maybe I’m out of touch, but I cannot fathom this level of cost for custom lambda functions operating on JSON objects.
How does this differ? Is an IR the same idea as Python’s .pyc?
They believe that the entirety of human ingenuity should be theirs at no cost, and then they have the audacity to SELL their ill-gotten collation of that knowledge back to you? All the while persuading world governments that their technology is the new operating system of the 21st century.
Give me a dystopian break, honestly.
CachyOS is a whole distro compiled with these flags, if possible, which is appealing.