This paper introduces a three-branch checks-and-balances framework for ethical alignment of Large Language Models (LLMs), inspired by governmental systems. It implements three independent yet interacting components: LLMs as the executive branch for knowledge generation, DIKE as the legislative branch establishing ethical guardrails, and ERIS as the judicial branch for contextual interpretation. The adversarial DIKE-ERIS duality enables adaptation to diverse cultural contexts while upholding consistent ethical principles. This architecture addresses limitations of reinforcement learning with human feedback (RLHF) by providing interpretable, adaptable, and culturally-aware ethical reasoning. Through self-supervised learning and adversarial testing, our framework demonstrates how emotional modeling can guide linguistic behaviors toward ethical outcomes while preserving independence across knowledge generation, ethical oversight, and contextual interpretation.

This research develops advanced methodologies for Large Language Models (LLMs) to better manage linguistic behaviors related to emotions and ethics. We introduce DIKE, an adversarial framework that enhances the LLMs' ability to internalize and reflect global human values, adapting to varied cultural contexts to promote transparency and trust among users. The methodology involves detailed modeling of emotions, classification of linguistic behaviors, and implementation of ethical guardrails. Our innovative approaches include mapping emotions and behaviors using self-supervised learning techniques, refining these guardrails through adversarial reviews, and systematically adjusting outputs to ensure ethical alignment. This framework establishes a robust foundation for AI systems to operate with ethical integrity and cultural sensitivity, paving the way for more responsible and context-aware AI interactions.

Some people's lives are like horror movies. It's strange that, in an age that can create virtual reality, self-driving cars and intelligent machines, the world's third-largest economy can't solve the problem of human misery. More and more Japanese women seem to feel it is. Female suicide is sharply rising. National Police Agency statistics tell the tale, as far as numbers can tell it -- 651 women are known to have taken their own lives that month, up from 400-500 a month typically.

A couple of recent events made me think it would be good to post a brief but (hopefully) balanced summary of the discussion about superintelligence. Our brains are existence proof that ordinary matter organised the right way can generate general intelligence – an intelligence which can apply itself to any domain. They were created by evolution, which is slow, messy and inefficient. It is also un-directed, although non-random. We are now employing the powerful, fast and purposeful method of science to organise different types of ordinary matter to achieve the same result.

When feeling at sea about definitions and meanings in the mind/brain business, it is always rewarding to dial up William James once again. More than 125 years ago, James wrote a landmark article simply titled "What Is an Instinct?" Instinct is usually defined as the faculty of acting in such a way as to produce certain ends, without foresight of the ends, and without previous education in the performance…[Instincts] are the functional correlatives of structure. With the presence of a certain organ goes, one may say, almost always a native aptitude for its use. "Has the bird a gland for the secretion of oil? She knows instinctively how to press the oil from the gland, and apply it to the feather."

A professor of electrical and computer engineering at The University of Oklahoma has issued a warning about the threat of artificial intelligence (AI) robots taking over the world. According to Dr. Subhash Kak, technological automation is already in the process of creating a "hellish dystopia" on earth, where all human jobs will eventually be replaced by fake robot "employees" that can perform them for free. Though they might seem convenient now, helping to reduce overhead and streamline various processes, AI technologies could one day plunge the world into a global depression. Should fully-functional AI robots eventually be released, claims Dr. Kak, there will be no stopping them from stealing "literally all jobs," leaving humans with nothing to do for survival. "The beginnings of the dystopia are already there," Dr. Kak told the Daily Star Online, noting that human usefulness, at least from a pragmatic perspective, is threatened by AI technology.

In the United States, job demographic data from censuses since the 1900s reveal a startling fact. Despite the two post-Industrial revolutions of electricity and computers, the occupations with the largest employment numbers are still jobs for drivers, retail, cashiers, secretaries, janitors etc, i.e. old professions needing simple skills and mostly repetitive work. This lack of transition to "newer" jobs is a global phenomenon, especially in the global south. India, for example, has half of the working population doing agriculture. One must grasp the significance of Artificial Intelligence (AI) in this context.

The underwater lake, discovered 3,300 feet below the surface of the Gulf of Mexico, is a pit of super-salty water and dissolved methane that kills any critter unlucky enough to fall inside. The discovery was made last year by a San Pedro-based research vessel, the E/V Nautilus. In the video, scientists excitedly navigate a remotely operated vehicle, the Hercules, above the circular pool. They point out the "pickled crabs" that succumbed to the elements. "These larger organisms really don't like to be in this fluid -- or maybe they just come here to die," Scott Wankel, a marine chemist, says on the video.