On 10/1/2021 3:27 AM, Marc wrote: > That is indeed a good futuristic vision. That small mail providers cooperate as a group to exchange information and facilitate a distributed compute environment to analyze and block spam.
> I can remember asking here 1-2 years ago someone about shareing a bayes db or so (can't remember), and his reaction was totally the opposite.
1) Thanks, but not that original. Extrapolated from figures 4 and 5 in https://www.sciencedirect.com/science/article/pii/S2405844018353404
2) I don't think ISP/ESPs cooperate that much. They might participate
if there are controls over the metadata shared with a non-competitive
3) I've done sharing of Bayes successfully. I certainly would not do
it with auto-learning and manual retraining has it's obvious problems.
Last I looked at the Bayes modules, the token expiration times were
My thinking is more aligned with MAD developers/researchers versus
ISP/ESPs. Much of what passes as MAD "research projects" are simply
regurgitated versions of Bayes. Everybody tests with the same corpora
however old it may (or may not) be. Real-world use data is practically
Since SA rule-based systems have such great efficiency, perhaps a better
use-case of ML/AI/DL would be in Virus/Malware control. Still, I
envision an environment where the ISP/ESP can set privacy flags, what
services are requested (AV/Spam), and what algorithm (or algorithms) to use.
-- Jared Hall >
>> -----Original Message-----
>> From: Jared Hall <email@example.com>
>> Sent: Friday, 1 October 2021 06:51
>> To: firstname.lastname@example.org
>> Subject: SA/MAD Interfacing
>> Considering that my Linode can't deep-learn anything or become any more
>> intelligent than it already is, it seems reasonable that I'd have to
>> interact with an external system.
>> Does anyone know of any RFCs or other standards that define how Machine-
>> learning, Artificial intelligence, and Deep-learning systems communicate
>> with Email hosts?