Lifeboat Foundation

With a processor that has fewer qubits, IBM has improved error correction, paving the way for the use of these processors in real life.

IBM has unveiled its much-awaited 1,000+ qubit quantum processor Condor, alongside a utility-scale processor dubbed IBM Quantum Heron at its Quantum Summit in New York. The latter is the first in the series of utility-scale quantum processors that IBM took four years to build, the company said in a press release.

Continue reading “IBM finally unveils quantum powerhouse, a 1,000+ qubit processor” »

The ‘resonant’ planets could provide insight about how such systems form and evolve—and why our own solar system is not synced up.

Order vs Disorder, Jordan Peterson’s Yin Yang analogy, & Stephen Wolfram’s 4 classes of cellular automata are explored. The edge of chaos is the phase transition zone between order and disorder which is found across a broad range of complex systems. We discuss Norman Packard, Christopher Langton, John Beggs, Stuart Kauffman, Mihaly Csikszentmihalyi, and M. Mitchell Waldrop. Wolfram’s Rule 110 and John Conway’s Game of Life, both Turing complete, make appearances.

0:00 Intro.
0:59 Lambda & Wolfram’s 4 Classes.
3:32 Criticality, Avalanches, & John Beggs.
4:44 Homework? More like FUNwork!
5:08 Flow by Mihaly Csikszentmihalyi.
5:35 Jordan Peterson (Yin-Yang)
9:39 M. Mitchell Waldrop’s Complexity.

Continue reading “Edge of Chaos Theory | Cellular Automata, Wolfram, & Psychology” »

What can a quantum information theorist say about the certainty of arithmetic and the universality of mathematical truth?

Has OpenAI invented an AI technology with the potential to “threaten humanity”? From some of the recent headlines, you might be inclined to think so.

Reuters and The Information first reported last week that several OpenAI staff members had, in a letter to the AI startup’s board of directors, flagged the “prowess” and “potential danger” of an internal research project known as “Q*.” This AI project, according to the reporting, could solve certain math problems — albeit only at grade-school level — but had in the researchers’ opinion a chance of building toward an elusive technical breakthrough.

Continue reading “Contrary to reports, OpenAI probably isn’t building humanity-threatening AI” »

If OpenAI’s new model can solve grade-school math, it could pave the way for more powerful systems.

Ever since last week’s dramatic events at OpenAI, the rumor mill has been in overdrive about why the company’s chief scientific officer, Ilya Sutskever, and its board decided to oust CEO Sam Altman.

Carlos Bravo-Prieto^1,2,3, Ryan LaRose⁴, M. Cerezo^1,5, Yigit Subasi⁶, Lukasz Cincio¹, and Patrick J. Coles¹

¹Theoretical Division, Los Alamos National Laboratory, Los Alamos, NM 87,545, USA. ² Barcelona Supercomputing Center, Barcelona, Spain. ³ Institut de Ciències del Cosmos, Universitat de Barcelona, Barcelona, Spain. ⁴ Department of Computational Mathematics, Science, and Engineering & Department of Physics and Astronomy, Michigan State University, East Lansing, MI 48,823, USA. ⁵ Center for Nonlinear Studies, Los Alamos National Laboratory, Los Alamos, NM, USA ⁶ Computer, Computational and Statistical Sciences Division, Los Alamos National Laboratory, Los Alamos, NM 87,545, USA

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Open-source supercomputer algorithm predicts patterning and dynamics of living materials and enables studying their behavior in space and time.

Biological materials are made of individual components, including tiny motors that convert fuel into motion. This creates patterns of movement, and the material shapes itself with coherent flows by constant consumption of energy. Such continuously driven materials are called “active matter.” The mechanics of cells and tissues can be described by active matter theory, a scientific framework to understand shape, flows, and form of living materials. The active matter theory consists of many challenging mathematical equations.

Scientists from the Max Planck Institute of Molecular Cell.

An open-source advanced supercomputer algorithm predicts the patterning and dynamics of living materials, allowing for the exploration of their behaviors across space and time.

Biological materials consist of individual components, including tiny motors that transform fuel into motion. This process creates patterns of movement, leading the material to shape itself through coherent flows driven by constant energy consumption. These perpetually driven materials are called “active matter.”

The mechanics of cells and tissues can be described by active matter theory, a scientific framework to understand the shape, flows, and form of living materials. The active matter theory consists of many challenging mathematical equations.