Lifeboat Foundation

Exploiting the natural and energy resources of the moon and asteroids can spark a space-based industrial revolution that could be a boon to all humankind. Pure science alone will be enough reason for the people who pay the bills to finance space exploration. Accessing the wealth that exists beyond the Earth is more than enough incentive for both public and private investment. Science will benefit. Someone will have to prospect for natural and energy resources in space and to develop safe and sustainable ways to exploit it.

Conflict between scientists and commercial space is already happening. Astronomers complain that SpaceX’s Starlink satellite internet constellation is ruining ground-based observation. Some critics fear that commercial exploitation of the moon’s resources will impede the operation of telescopes on the far side of the moon.

The financial industry’s response to artificial intelligence has been all over the place. Now, Bank of America is weighing in very much on the side of the bots.

In a note to clients viewed by CNBC and other outlets, BofA equity strategist Haim Israel boasted that AI was one of its top trends to watch — and invest in — for the year, and used all kinds of hypey language to convince its clients.

“We are at a defining moment — like the internet in the ’90s — where Artificial Intelligence (AI) is moving towards mass adoption,” the client note reads, “with large language models like ChatGPT finally enabling us to fully capitalize on the data revolution.”

Researchers have developed a new model inspired by recent biological discoveries that shows enhanced memory performance. This was achieved by modifying a classical neural network.

Computer models play a crucial role in investigating the brain’s process of making and retaining memories and other intricate information. However, constructing such models is a delicate task. The intricate interplay of electrical and biochemical signals, as well as the web of connections between neurons and other cell types, creates the infrastructure for memories to be formed. Despite this, encoding the complex biology of the brain into a computer model for further study has proven to be a difficult task due to the limited understanding of the underlying biology of the brain.

Researchers at the Okinawa Institute of Science and Technology (OIST) have made improvements to a widely utilized computer model of memory, known as a Hopfield network, by incorporating insights from biology. The alteration has resulted in a network that not only better mirrors the way neurons and other cells are connected in the brain, but also has the capacity to store significantly more memories.

By default, every quantum computer is going to be a hybrid that combines quantum and classical compute. Microsoft estimates that a quantum computer that will be able to help solve some of the world’s most pressing questions will require at least a million stable qubits. It’ll take massive classical compute power — which is really only available in the cloud — to control a machine like this and handle the error correction algorithms needed to keep it stable. Indeed, Microsoft estimates that to achieve the necessary fault tolerance, a quantum computer will need to be integrated with a peta-scale compute platform that can manage between 10 to 100 terabits per second of data moving between the quantum and classical machine. At the American Physical Society March Meeting in Las Vegas, Microsoft today is showing off some of the work it has been doing on enabling this and launching what it calls the “Integrated Hybrid” feature in Azure Quantum.

“With this Integrated Hybrid feature, you can start to use — within your quantum applications — classical code right alongside quantum code,” Krysta Svore, Microsoft’s VP of Advanced Quantum Development, told me. “It’s mixing that classical and quantum code together that unlocks new types, new styles of quantum algorithms, prototypes, sub routines, if you will, where you can control what you do to qubits based on classical information. This is a first in the industry.”

Microsoft revealed an AI-powered Bing chatbot in February, dubbing it “the new Bing.” But what can you actually do with the new Bing, and where does it fall short?

The new Bing is impressive for an automated tool, as it can not only answer questions in full sentences (or longer paragraphs), but it can also draw information from recent web results. The web features give it an edge over ChatGPT, which has limited knowledge of current events and facts, but it still has problems providing factual answers or helpful responses. That significantly affects its usefulness as a tool, though Bing’s ability to cite sources can help you double-check its responses.

With the rapid development of chatbots and other AI systems, questions about whether they will ever gain true understanding, become conscious, or even develop a feeling agency have become more pressing. When it comes to making sense of these qualities in humans, our ability for counterfactual thinking is key. The existence of alternative worlds where things happen differently, however, is not just an exercise in imagination – it’s a key prediction of quantum mechanics. Perhaps our brains are able to ponder how things could have been because in essence they are quantum computers, accessing information from alternative worlds, argues Tim Palmer.

Ask a chatbot “How many prime numbers are there?” and it will surely tell you that there are an infinite number. Ask the chatbot “How do we know?” and it will reply that there are many ways to show this, the original going back to the mathematician Euclid of ancient Greece. Ask the chatbot to describe Euclid’s proof and it will answer correctly [ii]. [ii.

So low that Starlink satellites have started photobombing its images.

Starlink and other broadband satellite constellations will threaten astronomical viewing in the upcoming years. Today, a team of astronomers has demonstrated that the satellite issue can’t be solved even by the Hubble Space Telescope.

Today, a team of astronomers has demonstrated that the satellite issue can’t be solved even by the Hubble Space Telescope.

Continue reading “Hubble’s orbit has fallen by 333 miles since 1990, affecting its images” »

What is it with this thin sheet of paper that makes it so precious? It’s not only the proof of acquired knowledge but plays into the reputation game of where you were trained. Being a graduate from Harvard Law School carries that extra glitz, doesn’t it? Yet take a closer look, and the diploma is the perfect ending to the modern tragedy of education.

Why? Because universities and curricula are designed along the three unities of French classical tragedy: time, action, and place. Students meet at the university campus (unity of place) for classes (unity of action) during their 20s (unity of time). This classical model has traditionally produced prestigious universities, but it is now challenged by the digitalisation of society – which allows everybody who is connected to the internet to access learning – and by the need to acquire skills in step with a fast-changing world. Universities must realise that learning in your 20s won’t be enough. If technological diffusion and implementation develop faster, workers will have to constantly refresh their skills.

The university model needs to evolve. It must equip students with the right skills and knowledge to compete in a world ‘where value will be derived largely from human interaction and the ability to invent and interpret things that machines cannot’, as the English futurist Richard Watson puts it. By teaching foundational knowledge and up-to-date skills, universities will provide students with the future-proof skills of lifelong learning, not just get them ‘job-ready’.

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Continue reading “3 Signs The UNIVERSE IS ACTUALLY A GIANT BRAIN” »