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That’s how Andrew Feldman, CEO of Silicon Valley AI computer maker Cerebras, begins his introduction to his company’s latest achievement: An AI supercomputer capable of 2 billion billion operations per second (2 exaflops). The system, called Condor Galaxy 1, is on track to double in size within 12 weeks. In early 2024, it will be joined by two more systems of double that size. The Silicon Valley company plans to keep adding Condor Galaxy installations next year until it is running a network of nine supercomputers capable of 36 exaflops in total.

If large-language models and other generative AI are eating the world, Cerebras’s plan is to help them digest it. And the Sunnyvale, Calif., company is not alone. Other makers of AI-focused computers are building massive systems around either their own specialized processors or Nvidia’s latest GPU, the H100. While it’s difficult to judge the size and capabilities of most of these systems, Feldman claims Condor Galaxy 1 is already among the largest.

Condor Galaxy 1—assembled and started up in just 10 days—is made up of 32 Cerebras CS-2 computers and is set to expand to 64. The next two systems, to be built in Austin, Texas, and Ashville, N.C., will also house 64 CS-2s each.

AI singularity refers to the future point where artificial intelligence becomes so advanced that it surpasses human intelligence and undergoes rapid, unpredictable self-improvement, leading to an exponential increase in capabilities. At this stage, AI could potentially reshape society, science, and civilization in profound and transformative ways, and its behavior might become difficult for humans to comprehend or control.

The AI alignment problem refers to the challenge of ensuring that artificial intelligence systems are designed and programmed to act in accordance with human values, goals, and intentions. It involves developing AI systems that align with human interests, do not produce harmful outcomes, and operate transparently and predictably, so they can be trusted and reliably controlled. Addressing the AI alignment problem is crucial to avoid potential risks and negative consequences associated with AI development and deployment.

The AI Singularity Future is an aspiring Decentralized Autonomous Organization(DAO) on Discord (Link) working on the AI alignment and the human alignment problem. We aim to solve the AI alignment problem by guiding the evolution of the AI towards the utopian future of Resource Based Economy. This organisation is being run by the volunteers and the Regional Coordinators of The-Venus-Project Support Community.

Can AI capture the emotion that a singer today can convey, or dupe us into believing they’re not human? Can Ronnie James Dio’s voice be brought back from the dead? In this episode of The Singing Hole, we explore where AI’s technology is today, how creators are harnessing the technology and how we can better prepare for the eventual future with music.

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🎙️Podcast: https://thecharismaticvoice.com/podcast/

Study reveals an important discovery in the realm of nanomachines within living systems. Prof. Sason Shaik from the Hebrew University of Jerusalem and Dr. Kshatresh Dutta Dubey from Shiv Nadar University, conducted molecular-dynamics simulations of Cytochromes P450 (CYP450s) enzymes, revealing that these enzymes exhibit unique soft-robotic properties.

Cytochromes P450 (CYP450s) are enzymes found in living organisms and play a crucial role in various biological processes, particularly in the metabolism of drugs and xenobiotics. The researchers’ simulations demonstrated that CYP450s possess a fourth dimension — the ability to sense and respond to stimuli, making them soft-robot nanomachines in “living matters.”

In the catalytic cycle of these enzymes, a molecule called a substrate binds to the enzyme. This leads to a process called oxidation. The enzyme’s structure has a confined space that allows it to act like as a sensor and a soft robot. It interacts with the substrate using weak interactions, like soft impacts. These interactions transfer energy, causing parts of the enzyme and the molecules inside it to move. This movement generates ultimately a special substance called oxoiron species, which serves the enzyme to oxidize a variety of different substances.

AI-based translation software, DeepL, is making its first appearance on the Forbes Cloud 100 list this year thanks to a machine learning translation model that users say is more precise than Google’s.

Jaroslaw Kutylowski speaks German, Polish and English (and he can order a Coke in French). With DeepL, his startup’s AI-powered translation tool, he can read and write in about 30 more.

Founded in 2017, DeepL has developed translation software that it says is far more accurate than rival products offered by Google and others, thanks to some powerful artificial intelligence working in concert with human native language speakers.

When an artist – whether they are a painter, writer, photographer, poet, etc. – creates a piece of work, they automatically own the copyright to it. This means they get to choose how that work of art can be used and, of course, get paid for it. But what happens when a piece of art is created by a computer?

This is a problem that we’ve only had to deal with in the last year – since Generative AI took the world by storm. Tools like ChatGPT can write stories, songs or plays, while Stable Diffusion or DALL-E 2 can produce images of anything we can describe to them.

But should the credit (and royalties) go to the person who used the tool to create the art or to the company that built the AI tool?… More.


Delve into the contentious debate around ownership, credit, and financial compensation for art created by AI tools, exploring artists’ rights and IP laws.