Summary: Examining the cognitive abilities of the AI language model, GPT-3, researchers found the algorithm can keep up and compete with humans in some areas but falls behind in others due to a lack of real-world experience and interactions.
Source: Max Planck Institute.
Researchers at the Max Planck Institute for Biological Cybernetics in Tübingen have examined the general intelligence of the language model GPT-3, a powerful AI tool.
“A machine… of intelligent design.”
For the algorithm: UBI, singularity, Sydney bing ai, bing ai, microsoft, OpenAI, open ai, andrej karpathy, Ilya Sutskever, agi, artificial general intelligence, AI, ai, artificial intelligence, deep learning, how do neural networks work?, neural networks, machine learning, chatgpt, ChatGPT, GPT, bing, math, google, tech, technology, utopia.
A cybersecurity technique that shuffles network addresses like a blackjack dealer shuffles playing cards could effectively befuddle hackers gambling for control of a military jet, commercial airliner or spacecraft, according to new research. However, the research also shows these defenses must be designed to counter increasingly sophisticated algorithms used to break them.
Many aircraft, spacecraft and weapons systems have an onboard computer network known as military standard 1,553, commonly referred to as MIL-STD-1553, or even just 1553. The network is a tried-and-true protocol for letting systems like radar, flight controls and the heads-up display talk to each other.
Securing these networks against a cyberattack is a national security imperative, said Chris Jenkins, a Sandia cybersecurity scientist. If a hacker were to take over 1,553 midflight, he said, the pilot could lose control of critical aircraft systems, and the impact could be devastating.
I explain what time dilation is with examples and evidence based experiments. Time slowing down is an actual thing that we experience and use in our technologies.
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REFERENCES
The Tempest by Peter Cawdron: https://tinyurl.com/2ep4uzvs.
Inside Black Holes: https://youtu.be/iUr8Obv_DeA
How Black Holes form: https://youtu.be/7xCgnMqIgPI
How Stable orbits form around Black Holes: https://tinyurl.com/2klz9mfd.
CHAPTERS
0:00 Karl Schwarzschild theorizes black holes.
1:58 Inspiration for this video.
3:16 How black holes form.
5:28 What is the Event Horizon?
7:25 How Time flows near & inside a black hole.
9:57 How can Black Holes be so bright if no light escapes?
11:34 How do we detect black holes if we can’t see them?
12:29 Can life form on a planet orbiting a black hole?
14:59 How long do black holes last?
SUMMARY
This is a recording of the SingularityNET Ecosystem leaders meeting, which was recorded on Monday, October 31st, 2022, including updates on projects progress, exciting news, and discussions around key initiatives.
SingularityNET is a decentralized marketplace for artificial intelligence. We aim to create the world’s global brain with a full-stack AI solution powered by a decentralized protocol.
We gathered the leading minds in machine learning and blockchain to democratize access to AI technology. Now anyone can take advantage of a global network of AI algorithms, services, and agents.
Website: https://singularitynet.io.
This sounds a lot like cryptomining but it also doesn’t. Cryptomining has nothing to do with machine learning algorithms and, unlike machine learning, cryptomining’s only value is producing a highly speculative digital commodity called a token that some people think is worth something and so are willing to spend real money on it.
This gave rise to a cryptobubble that drove a shortage of GPUs over the past two years when cryptominers bought up all the Nvidia Ampere graphics cards from 2020 through 2022, leaving gamers out in the cold. That bubble has now popped, and GPU stock has now stabilized.
But with the rise of ChatGPT, are we about to see a repeat of the past two years? It’s unlikely, but it’s also not out of the question either.
The opening keynote for the AGI-22 conference by Dr. Ben Goertzel, titled “Open-ended Motivations for AGI”, recorded on August 20th, 2022.
SingularityNET is a decentralized marketplace for artificial intelligence. We aim to create the world’s global brain with a full-stack AI solution powered by a decentralized protocol.
We gathered the leading minds in machine learning and blockchain to democratize access to AI technology. Now anyone can take advantage of a global network of AI algorithms, services, and agents.
Website: https://singularitynet.io.
In an interview with EE Times, Classiq CEO Nir Minerbi said Classiq’s academic program is an essential part of its broader strategy to expand the platform’s reach and promote the quantum computing business.
“We believe that offering this program will give students the tools and knowledge they need to learn practical quantum software-development skills while also providing researchers with a streamlined means of developing advanced quantum computing algorithms capable of taking advantage of ever more powerful quantum hardware,” he said. “In addition, our program enables students and researchers to test, validate and run their quantum programs on real hardware, providing valuable real-world experience. Ultimately, we think that our academic program will have a significant impact on the quantum computing community by promoting education and research in the field—and helping to drive innovation and progress in the industry.”
Classiq and Microsoft are among the top companies developing quantum computing software. The quantum stack developed by the firms advances Microsoft’s vision for quantum programming languages, which was published in the 2020 issue of Nature.
Will a machine learning AI be the way we find out we are not alone in the Universe?
In a January 2023 published paper in Nature Astronomy, a collaboration by authors from universities in Toronto, Canada, Berkeley in California, Manchester in the United Kingdom, Malta, Queensland and Western Australia, and the SETI Institute, created a machine learning algorithm variational autoencoder, a type of neural network that learns through the unsupervised study of unlabelled data. They used it to try and find technosignatures contained within 150 Terabytes of radio traffic from 820 nearby stars. The data source came from the Green Bank Telescope in West Virginia, the world’s largest steerable radio telescope. This data had previously been searched in 2017 using traditional techniques.
Radio signals are abundant throughout the Universe and they represent the most effective way for us to find out if we are a solo act or one of many technical civilizations. Our contribution to radio traffic has been going on for more than a century which means an alien civilization within a hundred light-years from us with technology similar to ours can now detect us.
SETI (Search for Extraterrestrial Intelligence) has been using radio telescopes and receiving antennae since 1960 in a search to detect signals coming from space in patterns similar to what we produce. So far, however, it has proven to be harder than finding the proverbial needle in a haystack. That’s why the application of AI to the vast amounts of radio traffic coming from space is seen as a step up in our efforts to detect alien intelligence. It seems ironic that an AI may be the way we first discover alien intelligence originating from distant solar systems. And it may be that those alien species are using their own AIs to be doing the same.
