A balance of infection and harmony called endosymbiosis helps shape evolution. For the first time, biologists have reproduced this arrangement between microbes in a lab.
So much of life relies on endosymbiotic relationships, but scientists have struggled to understand how they happen. How does an internalized cell evade digestion? How does it learn to reproduce inside its host? What makes a random merger of two independent organisms into a stable, lasting partnership?
Now, for the first time, researchers have watched the opening choreography of this microscopic dance by inducing endosymbiosis in the lab(opens a new tab). After injecting bacteria into a fungus — a process that required creative problem-solving (and a bicycle pump) — the researchers managed to spark cooperation without killing the bacteria or the host. Their observations offer a glimpse into the conditions that make it possible for the same thing to happen in the microbial wild.
Evolution was fueled by endosymbiosis, cellular alliances in which one microbe makes a permanent home inside another. For the first time, biologists made it happen in the lab.
Scientists recreated molecular switches that regulate biological timing, aiding nanotechnology and explaining evolutionary advantages.
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.
These time-sensitive reactions are enabled by molecular switches or nanomachines that function as precise molecular timers, programmed to activate or deactivate in response to environmental cues and time intervals.
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.
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! 🌟
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.
Time, as experienced by humans, is more than a sequence of events dictated by physical laws. It emerges from our awareness of change, a psychological construct shaped by consciousness. Recent advancements in neuroscience, quantum physics, and cognitive science reveal fascinating parallels between the brain and the universe. Studies suggest that neural processes operate in up to 11 dimensions, echoing M-Theory’s depiction of a multiverse with similar dimensionality. These insights hint at a profound structural resemblance, where the brain and the cosmos mirror each other as interconnected systems of information processing.
Quantum Temporal Mechanics goes further, positing that consciousness not only perceives time but actively participates in its manifestation. In quantum theory, the observer plays a pivotal role in collapsing wavefunctions, a process that may extend beyond the microcosm to the fabric of reality itself. Various interpretations of quantum mechanics, such as Quantum Bayesianism and Consciousness Causes Collapse theory, support the idea that the observer’s awareness helps shape how time unfolds. In this framework, the flow of time becomes a participatory phenomenon, where consciousness and the universe co-create the temporal experience.
The implications of this perspective are far-reaching. By placing consciousness at the center of temporal reality, D-Theory suggests that the universe operates as a self-simulating quantum neural network—a vast, intelligent system continuously evolving and self-regulating. Reality itself becomes an active, dynamic process in which every quantum event contributes to the universe’s collective intelligence, much like neurons firing in a biological brain. This conceptualization reimagines the universe as a living, thinking entity, where time, space, and experience are constructs shaped by a universal consciousness.
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.
00:00 Digital Biology. 02:24 Is there a limit to AI? 09:07 Problems Suitable for AI 10:13 AlphaEVERYTHING 12:40 How it all began (AlphaGo) 20:03 The Protein Folding Problem. 30:57 AGI
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.
What You’ll Learn: How OpenAI’s innovations are pushing the boundaries of artificial intelligence in 2025 Why features like infinite memory and advanced web agents are game-changers for AI applications. The transformative potential of AI systems that can autonomously improve and adapt.
Why It Matters: This video delves into the latest breakthroughs in AGI and superintelligence, highlighting their role in reshaping technology, industries, and society while addressing critical challenges in AI safety and scalability.
DISCLAIMER: This video discusses current advancements in artificial intelligence and their implications for the future, based on recent developments and expert insights.
