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More than 10X… 57X faster! 🔥

Exponential growth! 🚀


Cerebras Systems announced today it will host DeepSeek’s breakthrough R1 artificial intelligence model on U.S. servers, promising speeds up to 57 times faster than GPU-based solutions while keeping sensitive data within American borders. The move comes amid growing concerns about China’s rapid AI advancement and data privacy.

The AI chip startup will deploy a 70-billion-parameter version of DeepSeek-R1 running on its proprietary wafer-scale hardware, delivering 1,600 tokens per second — a dramatic improvement over traditional GPU implementations that have struggled with newer “reasoning” AI models.

It is commonly believed that there is a mind-body problem because we can give an explanation of matter but not of the mind. But according to John Collins, we don’t understand matter either. Materialism was refuted by Newton in the 17th century, and the physicalism which has replaced it is not a substantive doctrine. There are gaps in our understanding of the mental – we still do not have a good theory of what the mind is – but after Newton, there is no ‘mind-body problem’

Minds are problematic. We don’t quite know what they are. If one has a mind, let us agree, then one is sentient and sapient, able to be self-aware and to think and reason about things. But both of these qualities are opaque, not least because they have no apparent analogy in the non-mental world. What, exactly, does one need to add to a body to get a mind? How is a thing that is merely subject to physical laws self-aware and able to think about dinosaurs and the afterlife? This conundrum is invariably depicted in terms of there being a mind-body problem. I’ll try in what follows to give you reasons to think that this label is at best misleading. There are lots of mind problems and lots of body problems, but no mind-body problem, because there is no realm of bodies in some general sense from which minds are excluded. Before you call for an intervention, let me explain.

A potted history.

#asi #singularity.

Is AI about to take a giant leap forward? This video dives into the distinctions between AI, AGI, ASI, and the Singularity, exploring the potential risks and rewards of this rapidly evolving technology.

Prepare to unravel the stages of Artificial Intelligence (AI), Artificial General Intelligence (AGI), Artificial Super Intelligence (ASI), and the Singularity. We’ll discuss the differences between these concepts and what they might mean for the future of humanity.

What do you think? Is this progress something to fear? Join us as we explore the scary and promising possibilities of advanced AI. Let us know your thoughts in the comments below!

In the future we will build outposts and bases in space and on distant worlds, but what if we could make it so they built themselves instead?

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Credits:
Self-Growing Habitats & Space Bases.
Science & Futurism with Isaac Arthur.
Episode 337; April 7, 2022
Produced, Written, and Narrated by Isaac Arthur.

Editors:

Could our entire Universe be one enormous Black Hole? And is it possible to live inside a black hole?

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Credits:
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Episode 374, December 22, 2022
Produced & Narrated by Isaac Arthur.

Produced, Written.

“The projects running on Aurora represent some of the most ambitious and innovative science happening today,” said Katherine Riley, ALCF director of science. “From modeling extremely complex physical systems to processing huge amounts of data, Aurora will accelerate discoveries that deepen our understanding of the world around us.”

On the hardware side, Aurora clearly impresses. The supercomputer comprises 166 racks, each holding 64 blades, for a total of 10,624 blades. Each blade contains two Xeon Max processors with 64 GB of HBM2E memory onboard and six Intel Data Center Max ‘Ponte Vecchio’ GPUs, all cooled by a specialized liquid-cooling system.

In total, Aurora has 21,248 CPUs with over 1.1 million high-performance x86 cores, 19.9 PB of DDR5 memory, and 1.36 PB of HBM2E memory attached to the CPUs. It also features 63,744 GPUs optimized for AI and HPC equipped with 8.16 PB of HBM2E memory. Aurora uses 1,024 nodes with solid-state drives for storage, offering 220 PB of total capacity and 31 TB/s of bandwidth. The machine relies on HPE’s Shasta supercomputer architecture with Slingshot interconnects.

Summary: A new study finds that the bacteria Streptococcus anginosus is more abundant in the saliva and gut of people who have had a stroke and is associated with a higher risk of death and major cardiovascular events. Researchers compared 189 stroke patients with 55 non-stroke participants, finding that this bacterium increased stroke risk by 20%.

Meanwhile, beneficial bacteria like Anaerostipes hadrus and Bacteroides plebeius were linked to a reduced stroke risk. The findings highlight the importance of oral hygiene in stroke prevention, as Streptococcus anginosus contributes to tooth decay.

From being a promising yet underexplored approach in the 1990s, mRNA therapeutics have evolved dramatically. The discovery of chemical modifications to overcome mRNA’s instability and immunotoxicity enabled these therapeutics to reach clinical trials and the forefront of modern medicine. The platform’s scalability, rapid production and relatively straightforward manufacturing process mean that mRNA therapeutics are a powerful alternative to traditional small molecule drugs and DNA technology.

Enzymes are a vital tool that make in vitro transcription possible and refine the reaction products to generate highly pure, homogeneous mRNA. In this ebook, we provide an in-depth review into: