A quick round up: Plastic Pollution just got worse, Computers just got faster…and who were the Denisovans?

a few stories that caught our eye

Plastic pollution just got worse Remember those old movies where hard-pressed producers stared combining other movies? Think Godzilla and King Kong or Jesse James and Frankenstein’s daughter. The results were nearly always worse than the original. Well, it’s the same in the ocean PFAs do quite a bit of damage, So do microplastics, all things considered. But when you consider the two together, as Tom Perkins does in this Guardian article, you are in for a whole lot more trouble.

https://www.theguardian.com/environment/2024/nov/25/pfas-microplastics-toxic

Quantum Computers just got faster Just when someone comes up with the-best-thing-ever-yet, someone else supersedes it. Remember CRISPR-Cas-9 and Base pair editing? Well now it looks as if AI may be going the same way. Read this:Giant Quantum Computers built from Light, in Nature Briefings

By the end of 2027, researchers at the private quantum-computing firm PsiQuantum aim to be using light in silicon chips to build a giant, programmable quantum computer. That ambitious goal is far ahead of major rivals such as Google and IBM. PsiQuantum researchers say they hope to also show that such a computer can run commercially useful programmes. The company has raised US$1 billion but has shown relatively little compared to its competitors, leaving some scientists worried it’s promising more than it can deliver.Nature | 13 min read

Who were the Denisovans anyway? One of the most intriguing puzzles in paleontology is the nature of the Denisovans, that mysterious third cousin of the modern human family. Since their discovery through the truly remarkable achievements of Professor Paabo and his teams, their details remain sketchy. A few scraps of bone, some DNA, and a few artefacts. So-hats off Linda Ongaro of The Conversation who pulls together what is known now, in November 2024. We are sure that she shares our wish that one day this excellent article will have been superseded.

https://theconversation.com/their-dna-survives-in-diverse-populations-across-the-world-but-who-were-the-denisovans-244441?utm_medium=email&utm_campaign=Latest%

#dna #pollution #microplastics #PFA #denisovan #quantum computer

Molecular Paleontology sheds light on our universal common ancestor

Once upon a time all we had to go on was bones. Comparing them appeared to show a tree of life stretching back to a common ancestor, at least of all animals. Disciplines like embryology helped of course. However, apart from a few woolly traces of bacteria like things in old rocks like the Gunflint Cherts, most early organisms were too small and too fragile to fossilise well. It was a nice idea but the proofs were all a bit shaky.

Enter Molecular Biology. Using the comparative analyses of proteins and nucleic acids, and the rates of change and mutation over time, we have had amazing insights into how all different living organisms are related. Plants, bacteria, fungi, archaea and animals may now be all cross related, which of course means going back in time. Read this article Meet the Parents from Nature Briefings

The shared forebearer of all life — known as the last universal common ancestor (LUCA) — lived around 4.2 billion years ago, ate carbon dioxide and hydrogen, and produced acetate that might have fed other life. Researchers inferred information about our great-great-grandblob’s genetics and biology by tracing duplicated, lost and mutated genes back up the family tree. LUCA probably possessed an early immune system, too — hinting that it lived in an established ecosystem full of microbes and pathogens.Science | 6 min read
Reference: Nature Ecology & Evolution paper

We would not dare to improve on Nature Briefings, our go-to website for science news. We would however draw your attention to two talking points, as t’were, which have accorded us some pause for considerable thought.

The molecular regression analysis suggests that these things lived about 4.2 billion years ago. Which is incredibly early, as best estimates for the age of the planet come in at around 4.5 billion years[1] That seems a vey short time for so much evolution. What was happening?

The second point is a bit more philosophical. Like one of those fiendish brain teasers about barbers and shaving that Bertrand Russell used to set his brightest students. The authors suspect the LUCA lived in an ecosystem of microbes and pathogens. So was it not ancestor to them too? If not, what was?

[1]https://en.wikipedia.org/wiki/Age_of_Earth

[2]https://en.wikipedia.org/wiki/Barber_paradox

#LUCA #molecular biology #dna #rna #protein #precambian #origin of life #origin of earth

Two stories that hint how we may become a new species

Things aren’t going too well for poor old Homo sapiens. Like a bacterial colony in a petri dish, we are starting to use up our resources fast, and pathological symptoms are appearing. When a species runs up against its ecological limits, it is quickly replaced by better adapted competitors. Two stories from Nature Briefings indicate how things might go. And that we have a way out of this if we are prepared to adapt.

Report Charts machines meteoric rise Better at maths. Better at pattern recognition. Better at reading. Remember that bright kid in the class? Next time you heard of him was twenty years later and he was Chief Executive Officer of a blue chip corporation. Well, that’s the way it is with AI now. .

Artificial intelligence (AI) systems can now nearly match — and sometimes exceed — human performance in tasks such as reading comprehension, image classification and mathematics. “The pace of gain has been startlingly rapid,” says social scientist Nestor Maslej, editor-in-chief of the annual AI Index. The report calls for new benchmarks to assess algorithms’ capabilities and highlights the need for a consensus on what ethical AI models would look like.Nature | 6 min read
Reference: 2024 AI Index report

Milestone Map of Brain Connectivity Yet there may be a chance of survival. First read this

Researchers have mapped the tens of thousands of cells and connections between them in one cubic millimetre of the mouse brain. The project, which took US$100 million and years of effort by more than 100 scientists, is a milestone of ‘connectomics’, which aims to chart the circuits that coordinate the organ’s many functions. Identifying the brain’s architectural principles could one day guide the development of artificial neural networks. Teams are now working on mapping larger areas, although a whole-brain reconstruction “may be a ‘Mars shot’ — it’s really much harder than going to the Moon”, says connectomics pioneer Jeff Lichtman. Nature | 12 min read

The point is that AI and mammal brains have one thing in common. Both depend on networks and the system control architecture that runs them. In theory it should be possible to create beings which fuse AI with biological neurons. This has already begun, in a small way, with things like brain implants and limb attachments which can interface with the nervous system. It is possible to imagine biocyber hybrids with advanced intellectual and physical capacities which are ready for the challenges of the future. It looks as if Homo sapiens itself may no longer be up to it. But the genus Homo will survive, albeit in modified form. Which has happened successfully before. We’ll leave you with some thoughts from the old British Rocker David Bowie, who memorably observed

The earth is a bitch, we’ve finished our news/Homo sapiens have outgrown their use

Which is the exact text of this blog. He just said it better.

#davis bowie #AI #neural networks #future #pollution #global warming # genetic engineering