Lifeboat Foundation

You know that it helps to quit smoking. But what else lowers your risk of getting lung cancer? WebMD explains.

The rise of generative AI has ushered in an era of unprecedented innovation, demanding increasingly complex and more powerful AI models. These advanced models necessitate high-performance infrastructure capable of efficiently scaling AI training, tuning, and inferencing workloads while optimizing for both system performance and cost effectiveness.

Google Cloud has been pioneering AI infrastructure for over a decade, culminating in a unified architecture called AI Hypercomputer that seamlessly integrates workload-optimized hardware (TPUs, GPUs, and CPUs), open software, and flexible consumption models to power the most advanced AI models. This holistic approach optimizes every layer of the stack for optimal scale, performance, and efficiency across the broadest range of models and applications. AI Hypercomputer is one of the many reasons why Google Cloud was named a leader in Forrester’s AI Infrastructure Wave. Just last week, Google Cloud was also named a Leader in Gartner’s Magic Quadrant for Strategic Cloud Platform Services, where for the second consecutive year, we are the only Leader to improve on both vision and ability to execute.

In a pioneering move for quantum technology, Nanyang Technological University (NTU) and the National University of Singapore (NUS) have launched AQSolotl, a deep-tech startup presenting CHRONOS-Q —a state-of-the-art quantum controller designed to integrate classical computing systems with quantum computers. This innovation positions Singapore at the forefront of the global quantum ecosystem, with wide-ranging applications across industries.

CHRONOS-Q tackles the complexity of controlling quantum computers by acting as a translator between classical and quantum systems. It enables efficient control via standard computing devices, features an intuitive interface, and significantly reduces operational barriers, paving the way for broader adoption. Its modular, compact design ensures scalability and suitability for diverse environments, from research labs to mobile quantum setups.

With groundbreaking speed—determining qubit states in under 14 nanoseconds—and customizable firmware, CHRONOS-Q promises cost-effective, future-proof solutions for academia and industry. The startup’s founders, including Professor Rainer Dumke from NTU and CEO Patrick Bore, emphasize the transformative potential of accessible quantum computing for solving global challenges.

Theurgy was a system of magical practices in the late Roman Empire. It was applied Neoplatonism. The theurgists aimed to enable human bodies to assume divine attributes, that is, to become deities. I aim to show that much of the structure of theurgical Neoplatonism appears in transhumanism. Theurgists and transhumanists share a core Platonic-Pythagorean metaphysics. They share goals and methods. The theurgists practiced astrology, the reading of entrails, the consultation of oracles, channeling deities, magic, and the animation of statues. The transhumanist counterparts of those practices are genetics, self-tracking with biosensors, artificial intellects like Google and Siri, brain-computer interfaces, programming, and robotics. Transhumanist techno-theurgy shows how Neoplatonism can be a modern philosophical way of life.

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Sometimes when we went to analyze what AI is doing in our world, we should go back to one of the simplest types of metrics – what are people using it for a day to day?

Just before Christmas Eve, Bari Weiss at the Free Press interviewed Sam Altman, the creator of ChatGPT technologies and leader at OpenAI, about the general state of artificial intelligence in our world.

How, she asked, do we measure its impact?

The British-Canadian computer scientist often touted as a “godfather” of artificial intelligence has shortened the odds of AI wiping out humanity over the next three decades, warning the pace of change in the technology is “much faster” than expected.

Prof Geoffrey Hinton, who this year was awarded the Nobel prize in physics for his work in AI, said there was a “10% to 20%” chance that AI would lead to human extinction within the next three decades.

Synchronicity!😉 Just a few hours ago I watched a video which stated that the philosopher Henri Bergson argued our linear perception of time limited our ability to appreciate the relationship between time and consciousness.

What if our understanding of time as a linear sequence of events is merely an illusion created by the brain’s processing of reality? Could time itself be an emergent phenomenon, arising from the complex interplay of quantum mechanics, relativity, and consciousness? How might the brain’s multidimensional computations, reflecting patterns found in the universe, reveal a deeper connection between mind and cosmos? Could Quantum AI and Reversible Quantum Computing provide the tools to simulate, manipulate, and even reshape the flow of time, offering practical applications of D-Theory that bridge the gap between theoretical physics and transformative technologies? These profound questions lie at the heart of Temporal Mechanics: D-Theory as a Critical Upgrade to Our Understanding of the Nature of Time, 2025 paper and book by Alex M. Vikoulov. D-Theory, also referred to as Quantum Temporal Mechanics, Digital Presentism, and D-Series, challenges conventional views of time as a fixed, universal backdrop to reality and instead redefines it as a dynamic interplay between the mind and the cosmos.

Continue reading “TEMPORAL MECHANICS: D-Theory of Time | Deep Dive AI Podcast” »

The work-related death rate fell 95% in the U.S. between 1913 & 2015.

Labor union activism is often credited with the decline, but economic expansion is what made better working conditions possible in the first place.

Read more about this trend.

Continue reading “Work Grows Safer” »