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The great powerful guppy can essentially evolve 10 million times faster than usual. Which could lead to humans evolving faster too leading to a biological singularity.


Although natural selection is often viewed as a slow pruning process, a dramatic new field study suggests it can sometimes shape a population as fast as a chain saw can rip through a sapling. Scientists have found that guppies moved to a predator-free environment adapted to it in a mere 4 years—a rate of change some 10,000 to 10 million times faster than the average rates gleaned from the fossil record. Some experts argue that the 11-year study, described in today’s issue of Science,* may even shed light on evolutionary patterns that occur over eons.

A team led by evolutionary biologist David Reznick of the University of California, Riverside, scooped guppies from a waterfall pool brimming with predators in Trinidad’s Aripo River, then released them in a tributary where only one enemy species lurked. In as little as 4 years, male guppies in the predator-free tributary were already detectably larger and older at maturity when compared with the control population; 7 years later females were too. Guppies in the safer waters also lived longer and had fewer and bigger offspring.

The team next determined the rate of evolution for these genetic changes, using a unit called the darwin, or the proportional amount of change over time. The guppies evolved at a rate between 3700 and 45,000 darwins. For comparison, artificial-selection experiments on mice show rates of up to 200,000 darwins—while most rates measured in the fossil record are only 0.1 to 1.0 darwin. “It’s further proof that evolution can be very, very fast and dynamic,” says Philip Gingerich, a paleontologist at the University of Michigan, Ann Arbor. “It can happen on a time scale that’s as short as one generation—from us to our kids.”

Chemists studying how life started often focus on how modern biopolymers like peptides and nucleic acids contributed, but modern biopolymers don’t form easily without help from living organisms. A possible solution to this paradox is that life started using different components, and many non-biological chemicals were likely abundant in the environment. A new survey conducted by an international team of chemists from the Earth-Life Science Institute (ELSI) at Tokyo Institute of Technology and other institutes from Malaysia, the Czech Republic, the U.S. and India, has found that a diverse set of such compounds easily form polymers under primitive environmental conditions, and some even spontaneously form cell-like structures.

Understanding how life started on Earth is one of the most challenging questions seeks to explain. Scientists presently study modern and try to see what aspects of their biochemistry are universal, and thus were probably present in the organisms from which they descended. The best guess is that life has thrived on Earth for at least 3.5 billion of Earth’s 4.5-billion-year history since the planet formed, and most scientists would say life likely began before there is good evidence for its existence. Problematically, since Earth’s surface is dynamic, the earliest traces of life on Earth have not been preserved in the geological record. However, the earliest evidence for life on Earth tells us little about what the earliest organisms were made of, or what was going on inside their cells. “There is clearly a lot left to learn from prebiotic chemistry about how life may have arisen,” says the study’s co-author Jim Cleaves.

A hallmark of life is evolution, and the mechanisms of evolution suggest that common traits can suddenly be displaced by rare and novel mutations which allow mutant organisms to survive better and proliferate, often replacing previously common organisms very rapidly. Paleontological, ecological and laboratory evidence suggests this occurs commonly and quickly. One example is an invasive organism like the dandelion, which was introduced to the Americas from Europe and is now a commo weed causing lawn-concerned homeowners to spend countless hours of effort and dollars to eradicate.

Summary: A mutation in a gene associated with circadian rhythm extends the clock period, causing people to stay up late at night and sleep late in the mornings.

Source: UC Santa Cruz

A new study by researchers at UC Santa Cruz shows how a genetic mutation throws off the timing of the biological clock, causing a common sleep syndrome called delayed sleep phase disorder.

In a recent study of the upper atmosphere of Venus, finding the chemical fingerprint of phosphine has led to speculation that it may be tied to airborne life high in the clouds of our sister planet [1]. We harbour similar suspicion of microbial life on Mars [2], Saturn’s moon Enceledus [3], and Europa, the icy Galilean of the Jovian system [4]. The dwarf planet Ceres of the asteroid belt could be added to that list also, with recent evidence of oceanic water [5], while more exotic variations of life may exist on Titan, which is known to be teeming with organic materials [6]. Should we be more wary of our Solar System as an environment to explore, and the potential of pathogens we may encounter?

If one rewinds 500 years, to when exploration of new worlds involved sailing the oceans, the discovery of the Americas introduced viruses which decimated the native population at that time [7]. That in itself was far from a unique event in history, of course. There have been many occurrences throughout history where travel between distant lands has resulted in the introduction of devastating plagues to one population or the other — not least the Black Death, which arrived in Europe from commercial travel with Asia in the 1300s [8]. Meanwhile, 2020 has reminded us how a novel virus can prove virtually unstoppable from spreading worldwide in a matter of months and reaching pandemic level, once introduced to our now interconnected world [9].

Indeed when the first astronauts returned from the Moon in the 60s, they had to undergo weeks of quarantine as a precaution against introducing a lunar pathogen to Earth [10]. We now know the Moon to be a sterile world, but this should not give us a false sense of security when visiting and returning from other worlds, which are far more likely to harbour microbial life. It is quite plausible to consider that any microbes which have evolved to survive in the harsh environments on other worlds could multiply out of control if introduced to a more fertile environment on Earth. The likelihood of any such foreign microbes being capable of becoming infectious pathogens to our species is difficult to measure, but one could still cause problems regardless, by undermining Earth’s ecosystem in competing with native microbial life as a runaway invasive species.

Extreme events occur in many observable contexts. Nature is a prolific source: rogue water waves surging high above the swell, monsoon rains, wildfire, etc. From climate science to optics, physicists have classified the characteristics of extreme events, extending the notion to their respective domains of expertise. For instance, extreme events can take place in telecommunication data streams. In fiber-optic communications where a vast number of spatio-temporal fluctuations can occur in transoceanic systems, a sudden surge is an extreme event that must be suppressed, as it can potentially alter components associated with the physical layer or disrupt the transmission of private messages.

Recently, extreme events have been observed in quantum cascade lasers, as reported by researchers from Télécom Paris (France) in collaboration with UC Los Angeles (USA) and TU Darmstad (Germany). The giant pulses that characterize these extreme events can contribute the sudden, sharp bursts necessary for communication in neuromorphic systems inspired by the brain’s powerful computational abilities. Based on a quantum cascade laser (QCL) emitting mid-infrared light, the researchers developed a basic optical neuron system operating 10,000× faster than biological neurons. Their report is published in Advanced Photonics.

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Elon Musk has warned many times about the dangers of AI. He sees strong artificial intelligence as an existential risk. Musk therefore wants to develop a brain machine interface or BMI device so we can merge with AI and hopefully develop a symbiotic relationship with artificial intelligence thus solve the AI control problem. Elon Musk has founded the neurotechnology company Neuralink. the company is focused on developing implantable brain machine interfaces. Neuralink has made recent headlines for its newest BMI device presented by Elon Musk.

In the short term, Neuralink’s BMI may be used to fix neurological problems and disorders. As Elon Musk has pointed out, over time, virtually everyone who gets old will suffer at least one if not multiple common neurological issues such as: Memory loss, hearing loss, seizures, strokes, brain damage etc.

With the development of Neuralink’s device, these problems may be a thing of the past. Better yet, the integration of Neuralink’s device with the human brain may advertently solve the artificial intelligence alignment problem by achieving a symbiotic relationship between humans and machines.

This is because there are many cases where an AI and a biological intelligence could benefit from each other’s actions; the AI receiving data from the human brain and the human brain receiving data from the AI. The benefits of this relationship would greatly outweigh the costs to both humans and AI systems; however, it is also very likely that AI systems and biological intelligences will at some point be in conflict.

Intensity shot noise in digital holograms distorts the quality of the phase images after phase retrieval, limiting the usefulness of quantitative phase microscopy (QPM) systems in long term live cell imaging. In this paper, we devise a hologram-to-hologram neural network, Holo-UNet, that restores high quality digital holograms under high shot noise conditions (sub-mW/cm2 intensities) at high acquisition rates (sub-milliseconds). In comparison to current phase recovery methods, Holo-UNet denoises the recorded hologram, and so prevents shot noise from propagating through the phase retrieval step that in turn adversely affects phase and intensity images. Holo-UNet was tested on 2 independent QPM systems without any adjustment to the hardware setting. In both cases, Holo-UNet outperformed existing phase recovery and block-matching techniques by ∼ 1.8 folds in phase fidelity as measured by SSIM. Holo-UNet is immediately applicable to a wide range of other high-speed interferometric phase imaging techniques. The network paves the way towards the expansion of high-speed low light QPM biological imaging with minimal dependence on hardware constraints.