moon traveller herald

  D idnt find The Invention of Science  [Harper] full of the excitement the name might have augured. Author David Wooton determinedly grinds through the history, with some dramatic diversions, but mostly with a focus on the act of definition of terms. The span from Tycho Brake to Isaac Newton pretty much forms the basis of the book. The stumbling search for terms that describe 'what' the inventors were doing gets a lot of attention - that along with the murky manner in which terms like "machine", "science", "invention" and "experiment" come to describe what goes on. It is less than deft - the way that Wooton shows the birthing of clarifying words. It's laborious, at least for those who may not be his student. At times The Invention of Science is a trip through volumes of the OED. Maybe that's not so bad. At some point, things come together, and the race is on.  In  The Invention of Science , the author focuses on locating what he ...

 4th of July Invite - 1970s or1980s -  "My friends, I would like to say that never, in my political history, have I ever enjoyed the privilege of presenting such a great, beloved man. A human being, not only beloved in this fair country, but beloved world over. His name, a name that’s imprinted on every heart in America: Governor Slingwell Slugwell!" http://www.lordbuckley.com/LBC_The_Word/LBC_Transcriptions/Governor_Slugwell.htm

Oct 8 2024 Original Post - The Royal Swedish Academy of Sciences announced that neural network science pioneers John Hopfield and Geoffrey Hinton will be awarded the Nobel Prize in Physics for 2024. The two researchers are cited for “foundational discoveries and inventions that enable machine learning with artificial neural networks.” The Nobel award is a capstone of sorts for two premier researchers in neural networks. This computer technology has gained global attention in recent years as the underpinning engine for large-scale advances in computer vision, language processing, prediction and human-machine interaction. John Hopfield is best known for efforts to re-create interconnect models of the human brain. At the California Institute of Technology in the 1980s, he developed foundational concepts for neural network models. These efforts led to what became known as a Hopfield network architecture. In effect, these are simulations that work as associative memory models that can...

 

  Lina Khan, former FTC Chair AI acceleration has widened the gap between technology and policy. In my view, the first crack in that gap occurred with the 1996 dismantling of the Office of Technology Assessment in favor of corporate self-governance. The OTA used to be a go-to source for good sense -- what the world needs now. This and more is discussed in my Medium post, 'Heading AI Exceptionalism Off at the Pass: Khan at Atlanticpalooza.' And yes, it takes a look into that recent Atlantic podcast with Lina Khan, the tech billionaires' most dreaded regulator and critic. https://jackivaughan.medium.com/heading-ai-exceptionalism-off-at-the-pass-khan-at-atlanticpalooza-0ac0b914155c

  AI generated by Geminini When memory and reality cross-pollinate, you are experiencing a case of cryptomnesia (specifically, source amnesia). Cryptomnesia happens when a memory from your past is stored away without your conscious awareness of where it came from. Years later, that memory resurfaces, but because your brain forgot the original context (such as watching Fantastic Voyage at the golden rondelle - 3 years after theatrical release - introduced by you girl friend in a air stewardess uniform of lime green or seeing a pop-culture still in Life or staring at a Fillmore poster still as a teen), it feels entirely novel. It is a remarkably common phenomenon —like Raquel Welch trapped in a skintight wetsuit being attacked by microscopic antibodies inside a human body. Hollywood, 1966