Abstract---Agentic AI is shifting the cybersecurity landscape as attackers and defenders leverage AI agents to augment humans and automate common tasks. In this article, we examine the implications for cyber warfare and global politics as Agentic AI becomes more powerful and enables the broad proliferation of capabilities only available to the most well resourced actors today . As attacks increased in volume and attackers became more sophisticated, moving towards polymorphic malware, packers, and novel evasion techniques, defenders looked to machine learning to provide scalability (quickly analyze large volumes of data and automate repetitive tasks), pattern recognition (detect common attack patterns), and novelty detection (recognize abnormal behaviors that may indicate malicious actors or insider threats). Companies now use Large Language Models (LLMs) to provide analysts and reverse engineers with a rapid analysis of malicious code and best next steps when triaging alerts. But the real paradigm shift in cybersecurity for both attackers and defenders is still on the horizon: agentic artificial intelligence (agentic AI).

House Armed Services Committee holds a hearing on the Department of Defense using artifical intelligence. President Biden is set to strike a deal with China that would limit the use of artifical intelligence in nuclear weapons. Biden is to meet with Chinese President Xi Jinping on Wednesday at the Asia-Pacific Economic Cooperation (APEC) summit in San Francisco, where the two leaders are expected to also sign an agreement to limit AI's use in military applications, according to a report from Business Insider. According to the report, Biden and Xi will agree to limit AI use in the systems that control and deploy nuclear weapons as well as the technology's use in autonomous weapon systems such as drones. US MILITARY NEEDS AI VEHICLES, WEAPON SYSTEMS TO BE'SUPERIOR' GLOBAL FORCE: EXPERTS President Biden shakes hands with Chinese President Xi Jinping as they meet on the sidelines of the G20 leaders summit in Bali, Indonesia, on Nov. 14, 2022.

Artificial intelligence (AI) made its presence known toward the end of the last year. Within a few months, more people uncovered that AI is more than just chat responses. The primary role of this kind of AI is to act as an expert and advisor in various fields. But AI now goes a step further and challenges--and sometimes even defeats--human skill to produce content and find resolutions. AI has also presented us with another side of the coin, which we have yet to decide how to trade: AI's impact on education and effort--how to engage children, students and even adults to not use AI as a cheat sheet but instead to leverage AI to enhance their analytics muscles, to get more angles to the story and to research subject matters in depth.

AI (Artificial Intelligence) is rapidly advancing, and it's going to change business forever. AI can give organizations a competitive edge in the marketplace by automating tasks and making better decisions. You've got to know about the implications of AI for business strategy, just like with any new technology. As well as the ethical and legal considerations organizations need to consider, this article will explore how AI could impact business operations and decision-making. Aside from that, it's about how companies can get an edge in the market by implementing AI and developing a strategy for it.

The possibility of super-AIs taking over the world has been intensively studied by numerous scholars. This paper focuses on the multi-AI competition scenario under the premise of super-AIs in power. Firstly, the article points out the defects of existing arguments supporting single-AI domination and presents arguments in favour of multi-AI competition. Then the article concludes that the multi-AI competition situation is a non-negligible possibility. Attention then turns to whether multi-AI competition is better for the overall good of humanity than a situation where a single AI is in power. After analysing the best, worst, and intermediate scenarios, the article concludes that multi-AI competition is better for humanity. Finally, considering the factors related to the formation of the best-case scenario of multiple AIs, the article gives some suggestions for current initiatives in AI development.

In gaming, as in the real world, a decisive strategic advantage can be used to consolidate a dominant position, forming a power singleton. The United States nearly achieved such a dominant position in global politics when it used the threat of nuclear war to attempt to persuade Russia to adopt the Baruch Plan. The Baruch Plan was rejected as Russia realized the plan would give the US a decisive strategic advantage of nuclear armament, or at the very least an unfair authority to police atomic weaponry with controls and inspections under the guise of the United Nations, where Stalin knew Russia would be easily out voted in the Security Council and General Assembly. Acquiring Bitcoin can give an individual, a company, or a country a decisive strategic advantage, because as we know (and can audit individually with our nodes), Bitcoin's issuance does not respond to demand, and there will only ever be 21,000,000 Bitcoin. We can presume Bitcoin adoption will continue to grow, and there will be far greater than 21,000,000 entities vying for even one whole coin.

Explainable AI provides a whole new layer of insight by allowing analysts to clearly see why a prediction was made. When it comes to Enterprise AI (Artificial Intelligence), we often focus on automating repetitive business processes for a very simple reason and it doesn't take much imagination to see the value. But what if you wanted to gauge the impact of an unexpected event, such as a hurricane, on your business's bottom line? Maybe you'd like to compare the probable financial outcomes of a strategic decision before you make it? Explainable AI, which combines Human Intelligence with Artificial Intelligence, means employees now have the visibility to make these decisions.

A lot has been written, said and discussed in the domain of Artificial Intelligence. From the Turing test conducted by Alan Turing in 1950 which offered an opportunity to understand whether machines can exhibit intelligent behavior to AutoML (Auto machine learning) by google which claims to reduce the dependency on humans to build AI models, the technology has come a long way. However, the question that still intrigues many is whether this new wave of digital intelligence is intelligent enough to create value. This is one of the biggest challenges C-level executives in the manufacturing industry face when they propagate the idea of investing in this technology. Preparing a business case and binding the investment to the RoI, in an asset-heavy industry, becomes a daunting task and many at times hinder the buy-in or progress of such programs across the manufacturing enterprise.

When it comes to adoption of artificial intelligence, the US Federal Government is moving at a rapid pace. On February 11, 2019, President Trump signed Executive Order 13859 announcing the American AI Initiative, the United States' national strategy on artificial intelligence. As part of this strategy the US took into consideration principles on Artificial Intelligence published by the Organization for Economic Cooperation and Development (OECD). The AI Today podcast interviewed Adam Murray, International Relations Officer from the US Department of State to discuss these principles in more detail and why it's important to have AI principles around responsible & trustworthy AI discussed and adopted on an international level. Adam Murray is a foreign relations officer and a US diplomat, and has been working with the Department of State for over 13 years.

A lot of media coverage of self-driving technology has focused on a handful of big companies with well-known brands: Google, Uber, Tesla, and GM. But there's another company working on self-driving technology that might ultimately prove even more important. That company is Mobileye, an Israeli startup that was acquired by Intel in 2017. But it has something that's arguably even more important: a dominant position in today's market for advanced driver-assistance systems (ADAS). Mobileye had a very public split with Tesla back in 2016, but it continues to do business with a lot of other carmakers.