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The problem of personal identity is a longstanding philosophical topic albeit without final consensus. In this article the somewhat similar problem of AI identity is discussed, which has not gained much traction yet, although this investigation is increasingly relevant for different fields, such as ownership issues, personhood of AI, AI welfare, brain–machine interfaces, the distinction between singletons and multi-agent systems as well as to potentially support finding a solution to the problem of personal identity. The AI identity problem analyses the criteria for two AIs to be considered the same at different points in time. Two approaches to tackle the problem are proposed: One is based on the personal identity problem and the concept of computational irreducibility, while the other one applies multi-factor authentication to the AI identity problem. Also, a range of scenarios is examined regarding AI identity, such as replication, fission, fusion, switch off, resurrection, change of hardware, transition from non-sentient to sentient, journey to the past, offspring and identity change.

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Working To Reduce Global Catastrophic Biological Risks — Dr. Jaime Yassif, Ph.D. — VP, Global Biological Policy and Programs, Nuclear Threat Initiative.


Dr. Jaime Yassif, Ph.D. serves as Vice President of Global Biological Policy and Programs, at the Nuclear Threat Initiative (https://www.nti.org/about/people/jaim…) where she oversees work to reduce global catastrophic biological risks, strengthen biosecurity and pandemic preparedness, and drives progress in advancing global health security.

Prior to this, Dr. Yassif served as a Program Officer at the Open Philanthropy Project, where she led the initiative on Biosecurity and Pandemic Preparedness. In this role, she recommended and managed approximately $40 million in biosecurity grants, which rebuilt the field and supported work in several key areas, including: development of new biosecurity programming at several leading think tanks; cultivation of new talent through biosecurity leadership development programs; initiation of new biosecurity work in China and India; establishment of the Global Health Security Index; development of the Clade X tabletop exercise; and the emergence of a new discussion about global catastrophic biological risks.

Previously, Dr. Yassif was a Science and Technology Policy Advisor at the U.S. Department of Defense, where she focused on oversight of the Cooperative Threat Reduction Program and East Asia security issues. During this period, she also worked on the Global Health Security Agenda (GHSA) at the Department of Health and Human Services, where she helped lay the groundwork for the WHO Joint External Evaluations and the GHSA Steering Group.

Dr. Yassif’s previous experience includes work with Connecting Organizations for Regional Disease Surveillance, Chatham House, NTI, the Federation of American Scientists and the Tsinghua University Institute for International Studies.

The platform’s ability to interface with a variety of data sources and observability tools makes it a versatile solution for businesses operating in diverse IT environments, whether on-premises, in the cloud, or in hybrid settings. By serving as an intelligence layer that rationalizes data from multiple observability and infrastructure sources, Flip AI simplifies the workload for IT operations teams and supports more efficient operational practices.

This innovative use of LLMs for operational efficiency in IT environments presents a significant advancement in observability, offering enterprises a powerful tool to enhance system reliability and performance while reducing the economic impact of downtime.

As LLMs continue to evolve, their integration into observability tools is transforming the landscape of infrastructure and workload observability. The immediate benefits of improved performance monitoring and security are just the beginning.

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REFERENCES
Video: A Universe from nothing: • What came before the Big Bang? Quantu…
Video: Eternal Inflation: • Eternal Inflation: The BEST MULTIVERS…
Multiverse Theory: https://tinyurl.com/2cv2qxbm.
Math proof universe can come from nothing: https://tinyurl.com/np2vrty.
Paper of above: https://tinyurl.com/223t86z6
What came before big bang: https://tinyurl.com/y7g4pgwp.

CHAPTERS
0:00 Big bang: Lamda-CDM model.
3:09 Sponsor: ESET
4:22 Cyclic universe.
5:33 How likely is cyclic model?
7:53 Multiverse: Eternal Inflation.
11:27 Universe from nothing.
15:23 Why can’t we answer this question?

SUMMARY
What came before the Big Bang? what happened before the big bang? Since time is thought to have started at the big bang, asking what happened \.

How can we guarantee that data sent over the internet is only accessible to its intended recipient? Currently, our data is secured using encryption methods based on the premise that factoring large numbers is a complex task. However, as quantum computing advances, these encryption techniques may become vulnerable and potentially ineffective in the future.

Encryption by means of physical laws

Tobias Vogl, a professor of Quantum Communication Systems Engineering, is working on an encryption process that relies on principles of physics. “Security will be based on the information being encoded into individual light particles and then transmitted. The laws of physics do not permit this information to be extracted or copied. When the information is intercepted, the light particles change their characteristics. Because we can measure these state changes, any attempt to intercept the transmitted data will be recognized immediately, regardless of future advances in technology,” says Tobias Vogl.

If you’re considering how your organization can use this revolutionary technology, one of the choices that have to be made is whether to go with open-source or closed-source (proprietary) tools, models and algorithms.

Why is this decision important? Well, each option offers advantages and disadvantages when it comes to customization, scalability, support and security.

In this article, we’ll explore the key differences as well as the pros and cons of each approach, as well as explain the factors that need to be considered when deciding which is right for your organization.

Jason Matheny is a delight to speak with, provided you’re up for a lengthy conversation about potential technological and biomedical catastrophe.

Now CEO and president of Rand Corporation, Matheny has built a career out of thinking about such gloomy scenarios. An economist by training with a focus on public health, he dived into the worlds of pharmaceutical development and cultivated meat before turning his attention to national security.

As director of Intelligence Advanced Research Projects Activity, the US intelligence community’s research agency, he pushed for more attention to the dangers of biological weapons and badly designed artificial intelligence. In 2021, Matheny was tapped to be President Biden’s senior adviser on technology and national security issues. And then, in July of last year, he became CEO and president of Rand, the oldest nonprofit think tank in the US, which has shaped government policy on nuclear strategy, the Vietnam War, and the development of the internet.

SpaceX is preparing for upcoming Starship launches and is working on upgrading launch support infrastructure, but still needs FAA approval for the new launch schedule.

Questions to inspire discussion.

What upgrades is SpaceX making to the Starship launch support infrastructure?

—SpaceX is repairing and upgrading the infrastructure to improve vehicle landing, engine burn control, booster landing, heat shield tile security, and re-entry roll issues.