OLD PAPERS, NEW DISCOVERIES, AND AI by Dr Joseph P Farrell for Giza Death Star
If you’re familiar with the work of Lt. Col. Tom Bearden (US Army, Ret.), this story will sound eerily familiar in its basic outlines. But for those of you who are not familiar, Col. Bearden maintained in various books and papers that the post-war Soviet Union undertook a most unusual form of black science projects research. According to Bearden, Stalin, faced with an overwhelming American numerical superiority in nuclear weapons, lashed the Soviet Academy of Sciences to find some technological breakthrough that would do an end run around this superiority. In effect, Stalin was searching for the next generation in strategic offensive and defensive weapons, a technological edge that would render nuclear and themonuclear weapons obsolescent if not obsolete. According to Bearden, vast and secret research bureaus inside the Soviet Union were established, whose sole task was to comb through the west’s vast scientific literature and papers of the previous decades, and to “pull” any papers containing undeveloped, or interesting ideas for further study. In Bearden’s argument, this effort led to the creation of the vast Soviet effort in what he came to call “scalar” physics – a term whose current currency owes its popularity in large part to Bearden’s efforts – and with it, the whole world of secret Soviet research into everything from the torsion experiments of astrophysicist Nikolai Kozyrev, to the massive Soviet research into the “paranormal” (which I review in my book Microcosm and Medium).
With that in mind, J.E. (and many others) spotted this story at Zero Hedge, and it’s worth careful consideration, for it appears as if the “Stalin-Bearden” model (with apologies to the colonel!) has been adopted and “updated”:
AI Pores Over Old Scientific Papers, Makes Discoveries Overlooked By Humans
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Notably, not only is the “Stalin-Bearden” model operating here, but the project is centered at a well-known American “black projects” research facility:
Researchers from Lawrence Berkeley National Laboratory trained an AI called Word2Vec on scientific papers to see if there was any “latent knowledge” that humans weren’t able to grock on first pass.
In other words, rather than Stalin’s armies of bureaucrats in research institutions sitting at their desks and reading paper after paper of scientific journals and pulling the interesting or anomalous paper for further study, the search for “the odd and forgotten” has been turned over to an artificial intelligence program, which reads and scans several papers, and then, most importantly, draws connections between them by a process of analogical mapping based on technical words and their context (for those following my “Analogical Calculus/Topological Metaphor of the Medium” idea, that should sound very familiar):
