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We report a flexible multi-modal mechanics language model, MeLM, applied to solve various nonlinear forward and inverse problems, that can deal with a set of instructions, numbers and microstructure data. The framework is applied to various examples including bio-inspired hierarchical honeycomb design, carbon nanotube mechanics, and protein unfolding. In spite of the adaptable nature of the model-which allows us to easily incorporate diverse materials, scales, and mechanical features-it performs well across disparate forward and inverse tasks. Based on an autoregressive attention-model, MeLM effectively represents a large multi-particle system consisting of hundreds of millions of neurons, where the interaction potentials are discovered through graph-forming self-attention mechanisms that are then used to identify relationships from emergent structures, while taking advantage of synergies discovered in the training data. We show that the model can solve complex degenerate mechanics design problems and determine novel material architectures across a range of hierarchical levels, providing an avenue for materials discovery and analysis. To illustrate the use case for broader possibilities, we outline a human-machine interactive MechGPT model, here trained on a set of 1,103 Wikipedia articles related to mechanics, showing how the general framework can be used not only to solve forward and inverse problems but in addition, for complex language tasks like summarization, generation of new research concepts, and knowledge extraction. Looking beyond the demonstrations reported in this paper, we discuss other opportunities in applied mechanics and general considerations about the use of large language models in modeling, design, and analysis that can span a broad spectrum of material properties from mechanical, thermal, optical, to electronic. [ABSTRACT FROM AUTHOR]

Part nine of eleven, comprehensive interview with Rick G. Rosner. Giga Society member, exeditor for Mega Society (1991-97), and writer. He discusses the following subject-matter: individual-based/subjective, universe-based/objective, and collective-based ethics, Social Contract Theory of Thomas Hobbes (Leviathan, 1651), John Locke (Second Treatise of Government, 1689), Jean Jacques-Rousseau, (The Social Contract, 1762), Pierre-Joseph Proudhon (General Idea of the Revolution in the Nineteenth Century, 1851), John Rawls (Theory of Justice, 1971), David Gauthiers (Morals By Agreement, 1986), and Philip Pettit (Republicanism, 1997), with discussion on social ethics in essence "boiling down" to the Golden Rule; ethics in journalism with respect to the acquisition, collation, and reportage, definition of a "real" journalist, Dr. Steven J. Pinker on the improved conditions for humans, and informational ethics in relation to sociocultural trends; motivation of intellectuals for the good, troubles in academia with description of differing cultural/ethical systems transformed into prescription of cultural/ethical relativism - no scale to ethics or cultures, and things for intellectuals to do in the immediate for the good; Academia's two dominant ideological strains of "bland multiculturalism" and "ethical relativism," and reference back to thinking about the future; mobilization of intellectuals for the good in the long-term; possible prevention of this good; and thoughts on ethics of focus on one person with reflection on the personal desire for fame. [ABSTRACT FROM AUTHOR]

The collectives Prime and Boreal have respectively added two new members [ABSTRACT FROM PUBLISHER]

"War is declared. Get prepared" [ABSTRACT FROM PUBLISHER]