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GAR INTELLIGENCE DOSSIER
CLASSIFIED - EYES ONLY
Grand Army of the Republic – 253rd Elite Legion
Secure Archive Reference: GAMOR-OP-BRAVO-CC1749-PT018
MISSION LOG ENTRY:
DESIGNATION: Protector-018 "Galaar"
UNIT: Vornskr Squad, First Regiment "Bralor's First"
Operation Codename: Couriers of Cruelty
LOCATION: Gamor, Outer Rim Territories
DATE OF ENTRY: [REDACTED]
SECURITY CLEARENCE: LEVEL 4 – RESTRICTED ACCESS
STATUS: LEGION OBJECTIVE BRAVO COMPLETED: Awaiting orders.
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[FIELD LOG]
//..... REQUESTING ACCESS
//....AUTHORIZATION [REDACTED]
//.....ACCESS GRANTED
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//...BEGIN PLAYBACK
//...PLAYBACK INTERRUPTED
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//...SYSTEM ERROR
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//...RECOVERING FIELD LOG
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I promise the "system error" is just a place holder, I will add an actual log. That being said I likely wont have the time to do so until next weekend, as it's getting late and I have to be up at 2 am to leave for a week of live fire. Please hold me accountable to that. Thanks for stopping by!!
"Intelligence is the ability to adapt to change." Stephen Hawking.
I did not plan to photograph Sepúlveda on this trip in Segovia, but after calling several towns to get information about the lighting of their castles and receive only negative responses (they only turn the lights on for the weekends or for special occasions), I chose to come up to here, since I knew well this viewpoint from which we can see the town above its spectacular location.
My initial composition was different, but when the sun brushed the horizon and I saw the magnificent light with the incredible clouds that seemed to gallop like horses through the sky full of color, I decided to change at the last moment until I found this composition that I considered much better than the original. Sometimes, even if we arrive in time and decide the composition beforehand, we must be ready to take advantage of circumstances and be able to adapt to change.
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"La inteligencia es la habilidad para adaptarse al cambio." Stephen Hawking.
No tenía pensado fotografiar Sepúlveda en este viaje por Segovia, pero después de llamar a varias localidades para informarme sobre la iluminación de sus castillos y recibir solo respuestas negativas (solo se encienden en fin de semana o en ocasiones especiales), opté por ir hasta allí, ya que conocía bien este mirador desde el que se divisa el pueblo en su espectacular ubicación.
Mi composición inicial era otra, pero cuando el sol rozaba el horizonte y vi la magnífica luz con las increíbles nubes que parecían galopar como caballos por el cielo lleno de color, decidí cambiar en el último momento hasta que encontré esta composición que me pareció mucho mejor que la original. A veces, aunque lleguemos con tiempo y decidamos la composición previamente, hay que estar listos para aprovechar las circunstancias y ser capaces de adaptarnos al cambio.
This is the Photoshop blender of three word-generated Wombo images driven by the following text: "The paintings are very odd and strange indeed because they resemble surrealistic forms." I generated that text using "Art Review Generator." This is a case of artificial intelligence informing artificial intelligence. artreviewgenerator.com/
07/06/2022, Gate Terminal, Maasvlakte, Port of Rotterdam, Netherlands.
Shot into the sun..
Keel laid on 09/07/2020, & completed on 30/06/2021, by DSME, Okpo, South Korea (2500)
114,195 g.t. & 94,649 dwt., as:
'Energy Intelligence'.
The fifth new LPG carrier for the Greek company Alpha Gas.
However, the vessel was due to sail under a long-term charter with Russia's state-controlled Gazprom.
Recent movements since March 2022, shows she has been trading to the Arabian Gulf, and West Africa, so, hopefully, Alpha Gas have found an alternative to Russian gas exports.
The impact of the industrial and digital (information) revolutions has, undoubtedly, been substantial on practically all aspects of our society, life, firms and employment. Will the forthcoming AI revolution produce similar, far-reaching effects?
Will the Artificial Intelligence revolution create a utopian or dystopian future?
Well to great extent that depends on who writes the original code; after all AI is a computer programme, a complex and possibly evolving programme - but still a programme.
Think of it as a difference engine - it does a vast number of calculations and permutations to work out the best result or outcome. Note the use of the word "best" not the right outcome like a calculator where 2+2 = 4, AI might be programmed to decide that 3.9 or 4.1 are close enough. Which is what your brain does, in some situations there is no "right" answer - or you don't have enough information to calculate or predict accurately.
The big risk is when you start letting the programme alter what it thinks is "close enough" - like a human if you take a certain action and get an acceptable result often enough you think the action must be "right". This is what leads to problems. Let me give you an example - take a glass of water and infect it with just one Cholera organism and drink it - OK the chances of a single organism killing you are slim but possible. Now you do the same thing a dozen times and "get away with it" - this might lead you to believe Cholera isn't harmful. Now imagine an AI doing this and altering its idea of acceptable risks to include drinking Cholera infected water.
OK my example is very simplified but you get the idea; when an AI starts learning (as you would want it to do) who is going to be checking that the things that it has learnt are true? When the things that your AI has learned are so complicated that you cant understand them how will you know what it will do under any given circumstance.
To me the benefits of AI seem great but the risks are somewhat unknown. Film makers and story tellers have been pondering "man made intelligence" for a long time - Frankenstein, 2001 a space Odyssey, The Terminator, Colossus, The Matrix to name just a few.
Take the film "I Robot" based on Isaac Asimov's stories - a robot is suspected of murder - but wait - its a machine it cant be murder it must be an industrial accident. Makes you think!
Intelligence, adaptability, and opportunism are three very important characteristics of the coyote. Together they make this pup the most successful canine species of North America. They are as “at home” in American cities as they are in the wilds of nature. For the love of dogs, I find it difficult to understand how wild canines have come to be despised by so many. #coyotes #dogs #canines #Yellowstone
intelligence enables us to do it on purpose :-)
― Will Cuppy
HGGT!!
hybrid dogwood, j c raulston arboretum, ncsu,raleigh, north carolina
The Secret Intelligence Services (SIS, aka MI6) building on the Albert Embankment.
Large parts of the building are below street level, with numerous underground corridors and two moats.
This is a very unusual image and clearly one that was used to identify police and military figures for future reference. A line of people stand in honour of a funeral or some form of remembrance. And while the photographer, perhaps unintentionally, captures their image it is later used to identify them. Who might have been privy to such information and why might it have been used?
Photographers: Various
Collection: Irish Political Figures Photographic Collection
Date: 1921
NLI Ref: NPA PHOP1
You can also view this image, and many thousands of others, on the NLI’s catalogue at catalogue.nli.ie
Thanks to everyone that views and comments on my images - very much appreciated.
© ALL RIGHTS RESERVED. On all my images, Use without permission is illegal.
Sony ILCE-7RM5
One of the first buildings constructed at the base camp in The Lowers. Perfect for gathering all the information
Historically, even before IQ tests were invented, there were attempts to classify people into intelligence categories by observing their behavior in daily life. Those other forms of behavioral observation are still important for validating classifications based primarily on IQ test scores. Both intelligence classification by observation of behavior outside the testing room and classification by IQ testing depend on the definition of "intelligence" used in a particular case and on the reliability and error of estimation in the classification procedure.[citation needed]The English statistician Francis Galton made the first attempt at creating a standardized test for rating a person's intelligence. A pioneer of psychometrics and the application of statistical methods to the study of human diversity and the study of inheritance of human traits, he believed that intelligence was largely a product of heredity (by which he did not mean genes, although he did develop several pre-Mendelian theories of particulate inheritance). He hypothesized that there should exist a correlation between intelligence and other observable traits such as reflexes, muscle grip, and head size.He set up the first mental testing centre in the world in 1882 and he published "Inquiries into Human Faculty and Its Development" in 1883, in which he set out his theories. After gathering data on a variety of physical variables, he was unable to show any such correlation, and he eventually abandoned this research.French psychologist Alfred Binet was one of the key developers of what later became known as the Stanford–Binet test.French psychologist Alfred Binet, together with Victor Henri and Théodore Simon had more success in 1905, when they published the Binet-Simon test, which focused on verbal abilities. It was intended to identify mental retardation in school children,but in specific contradistinction to claims made by psychiatrists that these children were "sick" (not "slow") and should therefore be removed from school and cared for in asylums.The score on the Binet-Simon scale would reveal the child's mental age. For example, a six-year-old child who passed all the tasks usually passed by six-year-olds—but nothing beyond—would have a mental age that matched his chronological age, 6.0. (Fancher, 1985). Binet thought that intelligence was multifaceted, but came under the control of practical judgment.In Binet's view, there were limitations with the scale and he stressed what he saw as the remarkable diversity of intelligence and the subsequent need to study it using qualitative, as opposed to quantitative, measures (White, 2000). American psychologist Henry H. Goddard published a translation of it in 1910. American psychologist Lewis Terman at Stanford University revised the Binet-Simon scale, which resulted in the Stanford-Binet Intelligence Scales (1916). It became the most popular test in the United States for decades.The many different kinds of IQ tests include a wide variety of item content. Some test items are visual, while many are verbal. Test items vary from being based on abstract-reasoning problems to concentrating on arithmetic, vocabulary, or general knowledge.The British psychologist Charles Spearman in 1904 made the first formal factor analysis of correlations between the tests. He observed that children's school grades across seemingly unrelated school subjects were positively correlated, and reasoned that these correlations reflected the influence of an underlying general mental ability that entered into performance on all kinds of mental tests. He suggested that all mental performance could be conceptualized in terms of a single general ability factor and a large number of narrow task-specific ability factors. Spearman named it g for "general factor" and labeled the specific factors or abilities for specific tasks s. In any collection of test items that make up an IQ test, the score that best measures g is the composite score that has the highest correlations with all the item scores. Typically, the "g-loaded" composite score of an IQ test battery appears to involve a common strength in abstract reasoning across the test's item content. Therefore, Spearman and others have regarded g as closely related to the essence of human intelligence.Spearman's argument proposing a general factor of human intelligence is still accepted in principle by many psychometricians. Today's factor models of intelligence typically represent cognitive abilities as a three-level hierarchy, where there are a large number of narrow factors at the bottom of the hierarchy, a handful of broad, more general factors at the intermediate level, and at the apex a single factor, referred to as the g factor, which represents the variance common to all cognitive tasks. However, this view is not universally accepted; other factor analyses of the data, with different results, are possible. Some psychometricians regard g as a statistical artifact.