Lifeboat Foundation

Gödel’s Incompleteness theorems are two theorems of mathematical logic that demonstrate the inherent limitations of every formal axiomatic system capable of modelling basic arithmetic.

The first incompleteness theorem: No consistent formal system capable of modelling basic arithmetic can be used to prove all truths about arithmetic.

In other words, no matter how complex a system of mathematics is, there will always be some statements about numbers that cannot be proved or disproved within the system.

A brief comment on this week’s news about Claude 3 supposedly showing self-awareness. Let me know what you think, I’m basically doing this video to give you a forum to discuss!

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A group of researchers created a first-generation AI worm that can steal data, spread malware, and spam others via an email client to spread through multiple systems.

Researchers successfully tested this Morris II worm and published its findings using two methods.

Computing has already accelerated scientific discovery. Now scientists say a combination of advanced AI with next-generation cloud computing is turbocharging the pace of discovery to speeds unimaginable just a few years ago.

Microsoft and the Pacific Northwest National Laboratory (PNNL) in Richland, Washington, are collaborating to demonstrate how this acceleration can benefit chemistry and materials science – two scientific fields pivotal to finding energy solutions that the world needs.

Scientists at PNNL are testing a new battery material that was found in a matter of weeks, not years, as part of the collaboration with Microsoft to use to advanced AI and high-performance computing (HPC), a type of cloud-based computing that combines large numbers of computers to solve complex scientific and mathematical tasks.

Chatbot Arena.

An open platform for evaluating llms by human preference.

Large Language Models (LLMs) have unlocked new capabilities and applications; however, evaluating the alignment with human preferences still poses significant challenges.

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Without a more comprehensive set of big data, AI algorithms are more likely to generate an inaccurate or incomplete data model. Insufficient data leads to a model that is not capable of predicting outcomes with the level of accuracy that’s needed in the real world.

Anyone with experience in the art market also knows that markets can fluctuate without any indication as to why. AI will not have the answer. Tech entrepreneur Boris Pevzner, founder of AI-powered data platform Live Art, asserts that while AI is a tool that can be used as an indicator, it is not something that can predict any real-world auction prices.

Although AI is becoming increasingly prevalent in the art business, it does not have to be seen as a threat. Many people view AI as a dangerous tool, but AI does not need to be perceived in this way. Instead of a replacement for human expertise, we should see it as a tool of advancement to be used alongside humans to improve the quality of their work.

The new AI will be offered publicly to scientists so they can create novel interacting bio-components that could lead to new therapies.

Lethal drones with facial recognition, armed robots, autonomous fighter jets: we’re at the dawn of a new age of AI-powered warfare, says technologist Alexandr Wang. He explores why data will be the secret weapon in this uncharted landscape and emphasizes the need to consider national security when developing new tech — or potentially face all-out AI warfare.

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