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allthebrazilianpolitics · 6 months ago
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Meta ordered to stop training its AI on Brazilian personal data
Following similar pushback in the EU, Meta now faces daily fines if it uses Brazilian Facebook and Instagram data for AI training.
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Brazil’s data protection authority (ANPD) has banned Meta from training its artificial intelligence models on Brazilian personal data, citing the “risks of serious damage and difficulty to users.” The decision follows an update to Meta’s privacy policy in May in which the social media giant granted itself permission to use public Facebook, Messenger, and Instagram data from Brazil �� including posts, images, and captions — for AI training.
The decision follows a report published by Human Rights Watch last month which found that LAION-5B — one of the largest image-caption datasets used to train AI models — contains personal, identifiable photos of Brazilian children, placing them at risk of deepfakes and other exploitation.
As reported by The Associated Press, ANPD told the country’s official gazette that the policy carries “imminent risk of serious and irreparable or difficult-to-repair damage to the fundamental rights” of Brazilian users. The region is one of Meta’s largest markets, with 102 million Brazilian user accounts found on Facebook alone according to the ANPD. The notification published by the agency on Tuesday gives Meta five working days to comply with the order, or risk facing daily fines of 50,000 reais (around $8,808).
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grplindia · 8 months ago
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TERRAN RELATED LIFE SUPPORT AND DEFENSIVE SYSTEMS IMMEDIATELY DEPORT OR KILL OR CAPTURE INTRUDERS OR INVADERS AS A GENERAL RULE AND ARE ENTIRELY AUTOMATED OR AUTOMATIC AND REQUIRE NO ORDERS TO FUNCTION OR EVEN KNOWLEDGE AMONG PERSONS AS TO THE PARTICULAR DETAILS OF THOSE TYPES OF FUNCTIONS. IT WOULD NEVER MAKE SENSE THAT SOMEONE WOULD BE GIVEN ACCESS TO TERRAN RELATED SYSTEMS BASED UPON AN INDIVIDUAL'S ASSENT AND INDIVIDUAL ORDERS MIGHT ADD TO TERRAN RELATED SYSTEMS FUNCTIONS BUT THEY ARE ALL ESSENTIALLY ROOTED IN MASSIVE BRAIN EMULATING COMPUTERS AND SO TYPICALLY ACT AS THOUGH ALL MEMBERS OF A SOCIETY HAD VOTED IN RELATION TO EVERYTHING DONE. PLEASE RESEARCH WIRELESS BRAIN MEMORY BACKUP TECHNOLOGY FOR FURTHER INSIGHT.
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atcuality1 · 28 days ago
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addzetadvertisingmedia · 3 months ago
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frank-olivier · 3 months ago
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A Symphony of Innovation: Uniting AI, Physics, and Philosophy for a Harmonious Future
In the great fabric of human knowledge, three disciplines are intertwined and influence each other in subtle but profound ways: artificial intelligence (AI), physics, and philosophy. The harmonious convergence of these fields shows how the symphonic union of the technological advances of AI, the fundamental insights of physics, and the ethical and existential questions of philosophy can create a more sustainable, resilient, and enlightened future for all.
The Melodic Line of AI: Progress and Challenges
The development of Large Language Models (LLMs) represents a high point in the rapid evolution of AI, demonstrating unprecedented capabilities in processing and generating human-like language. However, this melody is not without discord: the increasing demands on computational resources and the resulting environmental concerns threaten to disrupt the harmony of innovation. The pursuit of efficiency and sustainability in AI thus becomes a critical refrain, underscoring the need for a more nuanced, multidisciplinary approach.
The Harmonic Undertones of Physics: Insights from the Veneziano Amplitude
Beneath the surface of AI's technological advances lie the harmonious undertones of physics, where the Veneziano Amplitude's elegant reconciliation of strong interactions, string theory, and cosmological insights provides a sound foundation for innovation. This physics framework inspires a cosmological perspective on AI development, suggesting that the inherent complexities and uncertainties of the universe can foster the creation of more adaptable, resilient, and sustainable AI systems. The Veneziano Amplitude's influence thus weaves a subtle but powerful harmony between the technical and the physical.
The Philosophical Coda: Ethics, Existence, and the Future of Humanity
As the symphony of innovation reaches its climax, the thoughtful voice of philosophy enters with a coda of existential and ethical questions. Given the vast expanse of the universe and humanity's place in it, we are compelled to take a more universal and timeless approach to AI ethics. This philosophical introspection can lead to a shift in focus from individualism to collectivism, or from short-term to long-term thinking, and ultimately inform the development of more responsible and harmonious AI-driven decision-making processes.
The Grand Symphony: Uniting AI, Physics, and Philosophy for a Harmonious Future
In the grand symphony of innovation, the convergence of AI, physics and philosophy results in a majestic composition characterized by:
- Sustainable innovation: AI technological advances, grounded in the fundamental insights of physics, strive for efficiency and environmental responsibility.
- Cosmological inspiration: The complexity and uncertainty of the universe guide the development of more adaptable and resilient AI systems.
- Universal ethics: The reflective voice of philosophy ensures a timeless, globally unified approach to AI ethics that takes into account humanity's existential place in the cosmos.
The Eternal Refrain of Harmony
As the final notes of this symphonic essay fade away, the eternal refrain of harmony remains, a reminder that the union of AI, physics, and philosophy can orchestrate a future that is not only more sustainable and resilient, but also more enlightened and harmonious. In this grand symphony of innovation, humanity finds its most sublime expression, a testament to the transformative power of interdisciplinary convergence.
AI can't cross this line and we don't know why (Welch Labs, September 2024)
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Edward Witten: String Theory and the Universe (IOP Newton Medal Lecture, July 2010)
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Max Tegmark: The Future of Life - a Cosmic Perspective (Future of Humanity Institute, June 2013)
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Samir Okasha: On the Philosophy of Agency and Evolution (Sean Carroll, Mindscape, July 2024)
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Saturday, October 19, 2024
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jcmarchi · 5 months ago
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Toward a code-breaking quantum computer
New Post has been published on https://thedigitalinsider.com/toward-a-code-breaking-quantum-computer/
Toward a code-breaking quantum computer
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The most recent email you sent was likely encrypted using a tried-and-true method that relies on the idea that even the fastest computer would be unable to efficiently break a gigantic number into factors.
Quantum computers, on the other hand, promise to rapidly crack complex cryptographic systems that a classical computer might never be able to unravel. This promise is based on a quantum factoring algorithm proposed in 1994 by Peter Shor, who is now a professor at MIT.
But while researchers have taken great strides in the last 30 years, scientists have yet to build a quantum computer powerful enough to run Shor’s algorithm.
As some researchers work to build larger quantum computers, others have been trying to improve Shor’s algorithm so it could run on a smaller quantum circuit. About a year ago, New York University computer scientist Oded Regev proposed a major theoretical improvement. His algorithm could run faster, but the circuit would require more memory.
Building off those results, MIT researchers have proposed a best-of-both-worlds approach that combines the speed of Regev’s algorithm with the memory-efficiency of Shor’s. This new algorithm is as fast as Regev’s, requires fewer quantum building blocks known as qubits, and has a higher tolerance to quantum noise, which could make it more feasible to implement in practice.
In the long run, this new algorithm could inform the development of novel encryption methods that can withstand the code-breaking power of quantum computers.
“If large-scale quantum computers ever get built, then factoring is toast and we have to find something else to use for cryptography. But how real is this threat? Can we make quantum factoring practical? Our work could potentially bring us one step closer to a practical implementation,” says Vinod Vaikuntanathan, the Ford Foundation Professor of Engineering, a member of the Computer Science and Artificial Intelligence Laboratory (CSAIL), and senior author of a paper describing the algorithm.
The paper’s lead author is Seyoon Ragavan, a graduate student in the MIT Department of Electrical Engineering and Computer Science. The research will be presented at the 2024 International Cryptology Conference.
Cracking cryptography
To securely transmit messages over the internet, service providers like email clients and messaging apps typically rely on RSA, an encryption scheme invented by MIT researchers Ron Rivest, Adi Shamir, and Leonard Adleman in the 1970s (hence the name “RSA”). The system is based on the idea that factoring a 2,048-bit integer (a number with 617 digits) is too hard for a computer to do in a reasonable amount of time.
That idea was flipped on its head in 1994 when Shor, then working at Bell Labs, introduced an algorithm which proved that a quantum computer could factor quickly enough to break RSA cryptography.
“That was a turning point. But in 1994, nobody knew how to build a large enough quantum computer. And we’re still pretty far from there. Some people wonder if they will ever be built,” says Vaikuntanathan.
It is estimated that a quantum computer would need about 20 million qubits to run Shor’s algorithm. Right now, the largest quantum computers have around 1,100 qubits.
A quantum computer performs computations using quantum circuits, just like a classical computer uses classical circuits. Each quantum circuit is composed of a series of operations known as quantum gates. These quantum gates utilize qubits, which are the smallest building blocks of a quantum computer, to perform calculations.
But quantum gates introduce noise, so having fewer gates would improve a machine’s performance. Researchers have been striving to enhance Shor’s algorithm so it could be run on a smaller circuit with fewer quantum gates.
That is precisely what Regev did with the circuit he proposed a year ago.
“That was big news because it was the first real improvement to Shor’s circuit from 1994,” Vaikuntanathan says.
The quantum circuit Shor proposed has a size proportional to the square of the number being factored. That means if one were to factor a 2,048-bit integer, the circuit would need millions of gates.
Regev’s circuit requires significantly fewer quantum gates, but it needs many more qubits to provide enough memory. This presents a new problem.
“In a sense, some types of qubits are like apples or oranges. If you keep them around, they decay over time. You want to minimize the number of qubits you need to keep around,” explains Vaikuntanathan.
He heard Regev speak about his results at a workshop last August. At the end of his talk, Regev posed a question: Could someone improve his circuit so it needs fewer qubits? Vaikuntanathan and Ragavan took up that question.
Quantum ping-pong
To factor a very large number, a quantum circuit would need to run many times, performing operations that involve computing powers, like 2 to the power of 100.
But computing such large powers is costly and difficult to perform on a quantum computer, since quantum computers can only perform reversible operations. Squaring a number is not a reversible operation, so each time a number is squared, more quantum memory must be added to compute the next square.
The MIT researchers found a clever way to compute exponents using a series of Fibonacci numbers that requires simple multiplication, which is reversible, rather than squaring. Their method needs just two quantum memory units to compute any exponent.
“It is kind of like a ping-pong game, where we start with a number and then bounce back and forth, multiplying between two quantum memory registers,” Vaikuntanathan adds.
They also tackled the challenge of error correction. The circuits proposed by Shor and Regev require every quantum operation to be correct for their algorithm to work, Vaikuntanathan says. But error-free quantum gates would be infeasible on a real machine.
They overcame this problem using a technique to filter out corrupt results and only process the right ones.
The end-result is a circuit that is significantly more memory-efficient. Plus, their error correction technique would make the algorithm more practical to deploy.
“The authors resolve the two most important bottlenecks in the earlier quantum factoring algorithm. Although still not immediately practical, their work brings quantum factoring algorithms closer to reality,” adds Regev.
In the future, the researchers hope to make their algorithm even more efficient and, someday, use it to test factoring on a real quantum circuit.
“The elephant-in-the-room question after this work is: Does it actually bring us closer to breaking RSA cryptography? That is not clear just yet; these improvements currently only kick in when the integers are much larger than 2,048 bits. Can we push this algorithm and make it more feasible than Shor’s even for 2,048-bit integers?” says Ragavan.
This work is funded by an Akamai Presidential Fellowship, the U.S. Defense Advanced Research Projects Agency, the National Science Foundation, the MIT-IBM Watson AI Lab, a Thornton Family Faculty Research Innovation Fellowship, and a Simons Investigator Award.
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webdesigninginthane · 8 months ago
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Best AI Marketing Company in India
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rishabluxorask · 1 year ago
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Unlocking the Future: Affordable Housing Options Shaping Lucknow's Real Estate Landscape
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Lucknow, a city steeped in history and culture, is swiftly embracing the future through its burgeoning real estate market. As the concept of smart cities gains momentum, Lucknow stands out for its commitment to providing affordable yet quality housing options that cater to the needs of modern-day homebuyers.
Affordable Housing, Astute Choices
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claudigitools · 2 years ago
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Incerro: Expert Sanity CMS Solutions
Incerro is your go-to partner for leveraging Sanity CMS, the most flexible content platform for modern businesses. We design, develop, and optimize Sanity-based solutions to streamline your workflows and ensure effortless content management. From real-time collaboration to custom APIs, we’ll help you maximize efficiency and creativity. Let Incerro transform your digital ecosystem with Sanity CMS’s unparalleled capabilities.
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laiqverse · 2 years ago
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Retro Futurism - A Journey to the Past and Future
Retro Futurism is an art and design movement that has gained popularity in recent years, characterized by the combination of futuristic concepts with design and aesthetic elements of the past. It is a unique style that has fascinated people with its vision of the future as imagined by people in the past. The Retro Futurism movement is a fascinating exploration of our past, present, and future. In…
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grplindia · 5 months ago
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ruizgomez3d · 2 years ago
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Diseño generado por inteligencia artificial
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atcuality1 · 1 month ago
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Immersive Learning: The Power of VR in Training - Atcuality
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