The release of DeepSeek’s new model has shaken assumptions about who has the upper hand in developing the technology.
The chip has broken new ground in a key random circuit sampling benchmark, an important development in Google’s roadmap for fault-tolerant quantum computing.
A team of engineers, physicists and computer specialists at Canadian company, Xanadu Quantum Technologies Inc., has unveiled what they describe as the world’s first scalable, connected, photonic quantum computer prototype.
In their paper published in the journal Nature, the group describes how they designed and built their modularized quantum computer, and how it can be easily scaled to virtually any desired size.
As scientists around the world continue to work toward the development of a truly useful quantum computer, makers of such machines continue to come up with design ideas. In this new effort, the research team built a quantum computer based on a modular design. Their idea was to build a single basic box using just a few qubits for the simplest of applications. As the need arises, another box can be added, then another and another—with all the boxes working together like a network, as a single computer.
OpenAI, in partnership with Retro Biosciences, has recently made significant strides in human longevity research with the development of GPT-4b Micro. This advanced artificial intelligence (AI) model could potentially revolutionize cellular reprogramming and open new avenues in the field of biology. Although this innovation is exciting, it still requires thorough scientific validation to establish its true potential.
For decades, scientists have been endeavoring to unlock the secrets of cellular processes. In 2020, Google DeepMind’s AlphaFold marked a significant breakthrough by predicting protein structures with astonishing accuracy. Now, OpenAI has entered the fray with GPT-4b Micro, a model expressly designed to analyze biological data and hasten scientific discoveries.
According to Sam Altman, CEO of OpenAI, “Hyper-intelligent AI tools could revolutionize science and lead to advancements we could hardly have imagined.” With Retro Biosciences, which specializes in longevity research, the goal is lofty: to extend the average human lifespan by a decade.
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.
A general approach to a quantum theory of gravity has found a surprising relationship between the quantum fields of massive particles.
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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/ discord Credits: Self-Growing Habitats & Space Bases Science & Futurism with Isaac Arthur Episode 337; April 7, 2022 Produced, Written, and Narrated by Isaac Arthur Editors: Christopher Maurer https://www.redhousestudio.net David McFarlane Cover Art: Jakub Grygier https://www.artstation.com/jakub_grygier Graphics: Christopher Maurer https://www.redhousestudio.net Jeremy Jozwik https://www.artstation.com/zeuxis_of_… Katie Byrne Ken York
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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: