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Frank Priebe's avatar

Those authors here and ones who are pursuing AI agents as described should watch this video from at least two people with machine learning one of which goes back to the 70’s. Gregg Braden. Cancer is nothing more than poison in the body that is reacting. Most of the time it is chemical in nature.

https://youtu.be/G3wMvD5HIj4

Curious and Concerned's avatar

AI can be valuable. I would stipulate that the AI tools I use produce results in the form of separate summaries of specific studies, with sources specifically listed. Just avoid random goo of unknown origin (RGUO) in the machine.

Vinu Arumugham #MAHA's avatar

LLMs are incapable of logical reasoning. Any proposed application should account for that.

James Lyons-Weiler, PhD's avatar

LLMS will make good interfaces on logic engines. Absolutely.

Jean Tobin's avatar

Here is an example of an "institutional blind spot" as well as an example of "what we have refused to consider regarding cancer": The main diagnostic tools for cancerous tumors - biopsies and aspirations are causing malignant cells, and therefore cancer to spread throughout the body. Why hasn't this hypothesis been tested properly? The blind spot is at the beginning of the entire gory process. Only very recently has this been discussed publicly amongst medical professionals: This is the documentary, with medical professionals, which toward the beginning, talks about the dangers of biopsies and aspirations:

https://rumble.com/v44y430--boobs-mammograms.html

AND

"The Breast Kept Secret"

51 min. Documentary on Thermography and its usefulness in detecting possible breast cancer.

Mainly about the dangers of mammography and that thermography should be used instead,

as it is in Japan and other European countries.

At the 19 and again at the 46 minute points there are brief segments on the dangers of biopsies and aspirations:

https://rumble.com/v4yxtyh-documentary-the-breast-kept-secret.html

AND X Post with references:

https://x.com/ValerieAnne1970/status/1891741925499338932