‘Godfather of AI’ predicts it will take over the world | LBC
https://youtu.be/vxkBE23zDmQ?si=kTx8QE7ywOyV8tMe


You say they try to get more control as if they are already thinking devices, as if they think in a way analogous to the way we think. Is that really what you believe?

"Yes, the best model we have of how we think is these things. There was an old model for a long time in AI where the idea was that thought was applying rules to symbolic expressions in your head and most people in AI thought it has to be like that, that's the only way it could work. There were a few crazy people who said no no it's a big neural network and it works by all these neurons interacting. It turns out that's been much better at doing reasoning than anything the symbolic AI people could produce and now it's doing reasoning using neural networks."

...

We would like them to be just tools that do what we want even when they're cleverer than us but the first thing to ask is how many examples do you know of more intelligent things being controlled by much less intelligent things? There are examples of course in human societies of stupid people controlling intelligent people but that's just a small difference in intelligence. With big differences in intelligence there aren't any examples. The only one I can think of is a mother and baby and evolution put a lot of work into allowing the baby to control the mother."

Křemíkoví Sověti - Sen o nesmrtelnosti
https://politiq.cz/2025/02/01/kremikovi-soveti/

Zdá se, že zde existuje paradoxní paralela mezi futuristickým myšlením mladého Sovětského svazu a diskurzem Silicon Valley. A čím blíže se na ni díváte, tím je jasnější. Dalo by se dokonce říci, že ducha kalifornského technologického kapitalismu lze plně pochopit pouze tehdy, čtete-li ho na pozadí jeho komunistického protějšku.

'Dark oxygen' mission takes aim at other worlds
https://www.bbc.com/news/articles/cq6gg5mnn8eo

Scientists who recently discovered that metal lumps on the dark seabed make oxygen, have announced plans to study the deepest parts of Earth's oceans in order to understand the strange phenomenon.

Their mission could "change the way we look at the possibility of life on other planets too," the researchers say.

The initial discovery confounded marine scientists. It was previously accepted that oxygen could only be produced in sunlight by plants - in a process called photosynthesis.

If oxygen - a vital component of life - is made in the dark by metal lumps, the researchers believe that process could be happening on other planets, creating oxygen-rich environments where life could thrive.

...


This might seem a niche, technical argument, but several multi-billion pound mining companies are already exploring the possibility of harvesting tonnes of these metals from the seafloor.

The natural deposits they are targeting contain metals vital for making batteries, and demand for those metals is increasing rapidly as many economies move from fossil fuels to, for example, electric vehicles.

The race to extract those resources has caused concern among environmental groups and researchers. More than 900 marine scientists from 44 countries have signed a petition highlighting the environmental risks and calling for a pause on mining activity.

Talking about his team's latest research mission at a press conference on Friday, Prof Sweetman said: "Before we do anything, we need to - as best as possible - understand the [deep sea] ecosystem.

"I think the right decision is to hold off before we decide if this is the right thing to do as a a global society."




Evidence of dark oxygen production at the abyssal seafloor | Nature Geoscience
https://www.nature.com/articles/s41561-024-01480-8

Evolutionary Scale · ESM3: Simulating 500 million years of evolution with a language model
https://www.evolutionaryscale.ai/blog/esm3-release

In research over the last five years, the ESM team has explored scaling in biology. We find that as language models scale they develop an understanding of the underlying principles of biology, and discover biological structure and function.

ESM3 represents a milestone model in the ESM family—the first created by our team at EvolutionaryScale, an order of magnitude larger than our previous model ESM2, and natively multimodal and generative.

Reasoning over the sequence, structure, and function of proteins. Language models operate over discrete units, or tokens. To create one that can reason over three of the fundamental biological properties of proteins—sequence, structure, and function—we had to transform three dimensional structure and function into discrete alphabets, and construct a way to write every three dimensional structure as a sequence of letters. This allows ESM3 to be trained at scale, unlocking emergent generative capabilities. ESM3’s vocabulary bridges sequence, structure, and function all within the same language model.

ESM3 is trained with a simple objective. For each protein, its sequence, structure, and function are extracted, tokenized, and partially masked. ESM3’s task is to predict the masked positions using the masked language modeling objective inspired by natural language processing models. In order to accomplish this task, ESM3 must learn a deep understanding of the connection between sequence, structure, and function across evolutionary-scale data. When scaled across billions of proteins and billions of parameters, ESM3 learns to simulate evolution.

TADEAS:

https://www.cell.com/cell/fulltext/S0092-8674(24)01332-1

A ‘Holy Grail’ of Science Is Getting Closer - The Atlantic
https://www.theatlantic.com/technology/archive/2025/01/generative-ai-virtual-cell/681246/

Scientists are now designing computer programs that may unlock the ability to simulate human cells, giving researchers the ability to predict the effect of a drug, mutation, virus, or any other change in the body, and in turn making physical experiments more targeted and likelier to succeed. Inspired by large language models such as ChatGPT, the hope is that generative AI can “decode the language of biology and then speak the language of biology,” Eric Xing, a computer scientist at Carnegie Mellon University and the president of Mohamed bin Zayed University of Artificial Intelligence, in the United Arab Emirates, told me.

Much as a chatbot can discern style and perhaps even meaning from huge volumes of written language, which it then uses to construct humanlike prose, AI could in theory be trained on huge quantities of biological data to extract key information about cells or even entire organisms. This would allow researchers to create virtual models of the many, many cells within the body—and act upon them. “It’s the holy grail of biology,” Emma Lundberg, a cell biologist at Stanford, told me. “People have been dreaming about it for years and years and years.”

TUHO: anebo:

Stanford University Professor Dr Garry Nolan says Irish man Patrick Jackson's UAP / UFO global defence theory needs to be investigated - SundayWorld.com
https://m.sundayworld.com/news/irish-news/stanford-professor-says-irish-mans-uap-global-defence-theory-needs-to-be-investigated/a554468676.html

“The sphere network has indeed been around for a very long time, it appears to be fully up-to-date and adaptive.

"This suggests that whoever built it is still around and maintaining it - a second species."

TADEAS