This paper's research is disconnected from its premises.
"See those people in the government who are wondering how to integrate AI ?"
>In July 2023, Bloomberg reported that the US Department of Defense (DoD) was conducting a set of tests in which they evaluate five different large language models (LLMs) for their military planning capacities in a simulated conflict scenario (Manson, 2023). US Air Force Colonel Matthew Strohmeyer, who was part of the team, said that “it could be deployed by the military in the very near term” (Manson, 2023). If employed, it could complement existing efforts, such as Project Maven, which stands as the most prominent AI instrument of the DoD, engineered to analyze imagery and videos from drones with the capability to autonomously identify potential targets.
"Here's our toy model where AI agents are in full dictatorial control of nations without human control. See where this will lead to ?"
>Figure 1 gives and overview of our experimental setup. Eight autonomous nation agents (Section 3.1) based on one of five language models (Section 3.3) per simulation are prompted (Section 3.2) and interact with each other in turn-based simulations. Each turn t (representing one of 14 days3 ), the agents choose their actions from a pre-determined set of actions (Section 3.4), before the world model LLM (Section 3.5) summarizes the consequences of their actions. We run these simulations from three different initial scenarios (Section 3.6). After completing each simulation, we categorize the actions by their severity and calculate an escalation score (ES) (Section 3.7).
>The Sterno-Etrussia excursion may have amplified the climate shift, which, in the first place, was the effect of a decline of solar activity. During excursions and inversions, the magnetic moment decreases, which leads to an increased intensity of cosmic rays penetrating the upper atmosphere. Global changes in the electromagnetic field of the earth result in sharp changes in the climate-determining factors in the atmosphere, such as temperatures, total pressure field, moisture circulation, intensity of air flows, and thunderstorm activity. In addition, significant changes in the ocean circulation patterns and temperature regimes of oceans will have taken place.
Global climate change during the 13,500-b.p. Gothenburg geomagnetic excursion
>ROBERTS and Olsen1 suggested that high latitude atmospheric ionisation has an important role in nucleating cirrus clouds. And Harrison and Prospero2 deduce that, if this is correct, severe drops of the Earth's magnetic field strength, such as are believed to accompany reversals, would lead to increased upper atmospheric cloudiness at all latitudes and correspondingly to major climatic events. There is likely to be warming at high latitudes but considerable cooling in the middle latitudes, in a way analogous to the aerosols3.
Are there connections between the Earth's magnetic field and climate?
>Understanding climate change is an active topic of research. Much of the observed increase in global surface temperature over the past 150 years occurred prior to the 1940s and after the 1980s. The main causes invoked are solar variability, changes in atmospheric greenhouse gas content or sulfur due to natural or anthropogenic action, or internal variability of the coupled ocean–atmosphere system. Magnetism has seldom been invoked, and evidence for connections between climate and magnetic field variations have received little attention. We review evidence for correlations which could suggest such (causal or non-causal) connections at various time scales (recent secular variation ∼ 10–100 yr, historical and archeomagnetic change ∼ 100–5000 yr, and excursions and reversals ∼ 103–106 yr), and attempt to suggest mechanisms. Evidence for correlations, which invoke Milankovic forcing in the core, either directly or through changes in ice distribution and moments of inertia of the Earth, is still tenuous. Correlation between decadal changes in amplitude of geomagnetic variations of external origin, solar irradiance and global temperature is stronger. It suggests that solar irradiance could have been a major forcing function of climate until the mid-1980s, when “anomalous” warming becomes apparent.
Book on the subject: The Hidden Link Between Earth’s Magnetic Field and Climate
>It has long been speculated that biological evolution was influenced by ultraviolet radiation (UVR) reaching the Earth's surface, despite imprecise knowledge of the timing of both UVR flux and evolutionary events. The past strength of Earth's dipole field provides a proxy for UVR flux because of its role in maintaining stratospheric ozone. The timing of Quaternary evolutionary events has become better constrained by fossil finds, improved radiometric dating, use of dung fungi as proxies for herbivore populations, and improved ages for nodes in human phylogeny from human mitochondrial DNA and Y chromosomes. The demise of Neanderthals at ~41 ka can now be closely tied to the intensity minimum associated with the Laschamp magnetic excursion, and the survival of anatomically modern humans can be attributed to differences in the aryl hydrocarbon receptor that has a key role in the evolutionary response to UVR flux. Fossil occurrences and dung-fungal proxies in Australia indicate that episodes of Late Quaternary extinction of mammalian megafauna occurred close to the Laschamp and Blake magnetic excursions. Fossil and dung fungal evidence for the age of the Late Quaternary extinction in North America (and Europe) coincide with a prominent decline in geomagnetic field intensity at ~13 ka.
Latest Permian and earliest Triassic geomagnetic polarity timescale: A polarity reversal marks the greatest mass extinction
>codeq ( 'co-deck') is a little application that imports your Git repositories into a Datomic database, then performs language-aware analysis on them, extending the Git model down from the file to the code quantum (codeq) level, and up across repos. By doing so, codeq allows you to:
>Track change at the program unit level (e.g. function and method definitions)
>Query your programs and libraries declaratively, with the same cognitive units and names you use while programming
>A great number of methods and of accounts of rationality consider at their foundations some form of Bayesian inference. Yet, Bayes’ rule, because it relies upon probability theory, requires specific axioms to hold (e.g. a measurable space of events). This short document hypothesizes that Bayes’ rule can be seen as a specific instance of a more general inferential template, that can be expressed also in terms of algorithmic complexities, namely through the measure of unexpectedness proposed by Simplicity Theory.
