Lifeboat Foundation

As artificial intelligence (AI) becomes more common and sophisticated, its effects on human lives and societies raises new questions. A new paper published in The Quarterly Review of Biology posits how these new technologies might affect human evolution.

In “How Might Artificial Intelligence Influence Human Evolution?” author Rob Brooks considers the inevitable but incremental evolutionary consequences of AI’s everyday use and human-AI interactions—without “dramatic but perhaps unlikely events, including possibilities of human annihilation, assimilation, or enslavement.”

In the paper, Brooks considers (“often with considerable speculation”) some possible forms of human-AI interaction and the evolutionary implications of such interactions via natural selection, including forms of selection that resemble the inadvertent and deliberate selection that occurred when humans domesticated crops, livestock, and companion animals.

We might like to think of ourselves as autonomous entities but, in reality, we’re more like walking ecosystems, teeming with bacteria, viruses, and other microbes. It turns out that differences in these microbes might be as crucial to evolution and natural variation as genetic mutations are.

This novel perspective was discussed in a recent publication by Seth Bordenstein, director of Penn State’s One Health Microbiome Center, who is a professor of biology and entomology and holds the Dorothy Foehr Huck and J. Lloyd Huck Endowed Chair in Microbiome Sciences.

He, along with 21 colleagues from around the globe, collectively known as the Holobiont Biology Network, propose that understanding the relationships between microbes and their hosts will lead to a more profound understanding of biological variation.

Step Into the Future with The Cybernetic Singularity: The Syntellect Emergence 🎧 The groundbreaking third volume of The Cybernetic Theory of Mind series by Alex M Vikoulov is now available as an audiobook!

Ecstadelic Media Group releases a new non-fiction audiobook The Cybernetic Singularity: The Syntellect Emergence, in addition to a previously published Kindle eBook, part of The Cybernetic Theory of Mind series. Written by Alex M. Vikoulov; Narrated by Virtual Voice; Foreword by Antonin Tuynman, PhD; Format: Audible audiobook (Press Release, Burlingame, CA, USA, November 16, 2024 09.23 AM PST)

Continue reading “From Homo Sapiens to Holo Syntellectus: A Journey into the Cybernetic Singularity” »

Gregory Chaitin ‘s work will limit the capability of AI.

Chirality is a property of some molecules, subatomic particles, living organisms and other physical or biological systems. This property entails a lack of mirror symmetry in these systems’ underlying structures.

Satellite Data Reveals How Environment Shapes Kids’ Brain Health https://neurosciencenews.com/environment-brain-development-28026/

Adverse childhood experiences can lead to adult symptoms of anxiety and depression, mediated by life history strategies, according to a study published in Biodemography & Social Biology.

Existing research underscores the psychological impact of early-life adversity, with theories across cognitive, behavioral, and evolutionary psychology exploring these long-term effects. The life history theory, specifically, offers insight by framing adverse childhood experiences (ACEs) in terms of fast or slow life strategies, each with distinct reproductive and developmental adaptations suited to one’s environment.

Continue reading “Study examines how early experiences shape our mental health trajectory” »

This lifeform can cheat time. Could it also help us push the boundaries of biology?

In Nijmegen, Netherlands, researchers have installed the world’s first microscope capable of live imaging of biological processes in such detail that moving protein complexes are visible. This new microscopic technique was developed by researchers led by Nico Sommerdijk from Radboud university medical center. As a demonstration of this innovative technique, Sommerdijk is now showcasing how arterial calcification begins.

A theoretical model shows that exchange of information plays a key role in the molecular machines found in biological cells.

Molecular machines perform mechanical functions in cells such as locomotion and chemical assembly, but these “tiny engines” don’t operate under the same thermodynamic design principles as more traditional engines. A new theoretical model relates molecular-scale heat engines to information engines, which are systems that use information to generate work, like the famous “Maxwell’s demon” [1]. The results suggest that a flow of information lies at the heart of molecular machines and of larger heat engines such as thermoelectric devices.

The prototypical engine is a steam engine, in which work is produced by a fluid exposed to a cycle of hot and cold temperatures. But there are other engine designs, such as the bipartite engine, which has two separate parts held at different temperatures. This design is similar to that of some molecular machines, such as the kinesin motor, which carries “molecular cargo” across biological cells. “Bipartite heat engines are common in biology and engineering, but they really haven’t been studied through a thermodynamics lens,” says Matthew Leighton from Simon Fraser University (SFU) in Canada. He and his colleagues have now analyzed bipartite heat engines in a way that reveals a connection to information engines.