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web-statistics & co

i got a statement from the web-statistics professional etracker.com: 'when in private modus the software is not tracking'

https://www.theverge.com/2019/6/4/18650363/firefox-block-trackers-default-enhanced-tracking-protection

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    • 'Whenever a visitor visits your site with his assigned IP address, the time that has passed since the last request is calculated. If the time period is longer than the configured "visit timeout" time of 30 minutes or if a request has never been received from this visitor, the request is noted as a new visit and the number of visits is increased (both for the site and for the IP address). So if a user visits the page at 1:00 p.m. and then again at 3:00 p.m., two visits would be counted. Please note that in the table "Top Sites" the total visits are related to grouped lists and are seen as the minimum number of visits of a grouping. Please also note that the "Visits" only appear in the statistics if the URL from which they come is recognized by the server as a page (see Pages). Due to the limitations of the HTTP protocol, log rotation and other (disruptive) factors, the result should not be seen as an absolute number, but rather as a relatively accurate approximation'...it could be the una-viewer-counter is too slow

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      • or should i 'hash' some bitcoins to get my fair share of views...if not they don't end at similar content created by a regi-sseur somewhere else before

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        the first proof of concept semi-liquid neural network (advanced LLM) run positive (SELI NEORAD for short)
        https://github.com/DuskoPre/AutoCoder/wiki i'm not just testing LLMs but also creating a semi-liquid neural network (advanced LLM) with chromadb: https://github.com/DuskoPre/liquid-neural-network-with-chromadb-cache it seems there is a mayor upgrade for LLMs possible trough classifications (managing-system) of inputs to the LLM. the model is still static but trough the implementations of the classifier it can be made semi-liquid.   #dichipcoin
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