Lifeboat Foundation

Background and objectives: Aging clocks are computational models designed to measure biological age and aging rate based on age-related markers including epigenetic, proteomic, and immunomic changes, gut and skin microbiota, among others. In this narrative review, we aim to discuss the currently available aging clocks, ranging from epigenetic aging clocks to visual skin aging clocks.

Methods: We performed a literature search on PubMed/MEDLINE databases with keywords including: “aging clock,” “aging,” “biological age,” “chronological age,” “epigenetic,” “proteomic,” “microbiome,” “telomere,” “metabolic,” “inflammation,” “glycomic,” “lifestyle,” “nutrition,” “diet,” “exercise,” “psychosocial,” and “technology.”

Results: Notably, several CpG regions, plasma proteins, inflammatory and immune biomarkers, microbiome shifts, neuroimaging changes, and visual skin aging parameters demonstrated roles in aging and aging clock predictions. Further analysis on the most predictive CpGs and biomarkers is warranted. Limitations of aging clocks include technical noise which may be corrected with additional statistical techniques, and the diversity and applicability of samples utilized.

Living organisms monitor time—and react to it—in many different ways, from detecting light and sound in microseconds to responding physiologically in pre-programmed ways, via their daily sleep cycle, monthly menstrual cycle, or to changes in the seasons.

Such an ability to react at different timescales is made possible via molecular switches or nanomachines that act or communicate as precise molecular timers, programmed to turn on and off in response to the environment and time.

Now, scientists at Université de Montréal have successfully recreated and validated two distinct mechanisms that can program both the activation and deactivation rates of nanomachines in living organisms across multiple timescales.

Experts can see how AI can be applied to biology to build biological systems.

Are we on the path to becoming one with machines? 🤖✨ In this video, we dive deep into the concept of The Singularity—the point where humanity and artificial intelligence merge into one seamless entity. From advanced neural interfaces to AI-driven biological enhancements, we’ll explore the technologies paving the way for this future transformation.

Exploring posthumanism and transhumanism: the future of human evolution.

Discover the fascinating realms of posthumanism and transhumanism! 🧠✨ How will future technologies redefine humanity? Join us as we explore the ethical implications, potential benefits, and groundbreaking advancements that could lead to a world where humans transcend their biological limitations. Will we embrace a future where mind and machine merge? Find out in this enlightening journey into the future of human evolution! 🌟

Continue reading “Posthumanism and Transhumanism in 2024🧠 #Posthumanism #Transhumanism #FutureTech” »

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 latest AI News. Learn about LLMs, Gen AI and get ready for the rollout of AGI. Wes Roth covers the latest happenings in the world of OpenAI, Google, Anthropic, NVIDIA and Open Source AI.

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Continue reading “Google Deepmind CEO’s STUNNING Prediction ‘Era of Digital Biology’” »

The future of AI in 2025 is set to bring transformative advancements, including humanoid robots, infinite-memory systems, and breakthroughs in superintelligence. OpenAI is pushing the boundaries with innovations in voice AI, web agents, and scalable applications across industries like robotics and healthcare. With AGI milestones like the O₃ system and growing focus on AI safety and energy efficiency, the next phase of artificial intelligence promises to reshape technology and society.

Key Topics:
OpenAI’s vision for the future of AI, from infinite-memory systems to humanoid robots.
The role of AGI in accelerating advancements in robotics, biology, and voice AI
Challenges like energy demands, AI safety, and the race toward superintelligence.

Continue reading “AGI ACHIEVED: What’s Next for AI in 2025? (Superintelligence Ahead)” »

Researchers found that the fungus Parengyodontium album degrades UV-exposed polyethylene in the ocean, suggesting that similar fungi might also break down plastics in deeper waters.

Researchers, including those from NIOZ, have discovered that a marine fungus can decompose the plastic polyethylene after it has been exposed to UV radiation from sunlight. Their findings, published in the journal Science of the Total Environment, suggest that numerous other fungi capable of degrading plastic likely reside in the deeper regions of the ocean.

The fungus Parengyodontium album lives together with other marine microbes in thin layers on plastic litter in the ocean. Marine microbiologists from the Royal Netherlands Institute for Sea Research (NIOZ) discovered that the fungus is capable of breaking down particles of the plastic polyethylene (PE), the most abundant of all plastics that have ended up in the ocean. The NIOZ researchers cooperated with colleagues from Utrecht University, the Ocean Cleanup Foundation and research institutes in Paris, Copenhagen, and St Gallen, Switzerland. The finding allows the fungus to join a very short list of plastic-degrading marine fungi: only four species have been found to date. A larger number of bacteria were already known to be able to degrade plastic.