Search:
Match:
3 results
research#llm📝 BlogAnalyzed: Jan 20, 2026 02:33

Anthropic Unveils 'Assistant Axis': Unlocking LLM Personality!

Published:Jan 20, 2026 02:30
1 min read
Techmeme

Analysis

Anthropic's discovery of the "Assistant Axis" is a fascinating step towards understanding how language models behave! This breakthrough allows us to perceive LLMs not just as tools, but as distinct characters with their own unique identities, opening exciting possibilities for more engaging and helpful AI interactions.
Reference

“When you talk to a large language model, you can think of yourself as talking to a character.”

PermalinkTechmeme
Research Paper#Condensed Matter Physics, Topological Insulators, Disorder🔬 ResearchAnalyzed: Jan 3, 2026 08:44

Disordered SSH Model Analysis

Published:Dec 31, 2025 09:12
1 min read
ArXiv

Analysis

This paper investigates the Su-Schrieffer-Heeger (SSH) model, a fundamental model in topological physics, in the presence of disorder. The key contribution is an analytical expression for the Lyapunov exponent, which governs the exponential suppression of transmission in the disordered system. This is significant because it provides a theoretical tool to understand how disorder affects the topological properties of the SSH model, potentially impacting the design and understanding of topological materials and devices. The agreement between the analytical results and numerical simulations validates the approach and strengthens the conclusions.
Reference

“The paper provides an analytical expression of the Lyapounov as a function of energy in the presence of both diagonal and off-diagonal disorder.”

PermalinkArXiv
Research Paper#Computational Fluid Dynamics (CFD)🔬 ResearchAnalyzed: Jan 3, 2026 19:21

Efficient Eigenvalue Bounding for CFD Time-Stepping

Published:Dec 28, 2025 16:28
1 min read
ArXiv

Analysis

This paper addresses the challenge of efficient time-step determination in Computational Fluid Dynamics (CFD) simulations, particularly for explicit temporal schemes. The authors propose a new method for bounding eigenvalues of convective and diffusive matrices, crucial for the Courant-Friedrichs-Lewy (CFL) condition, which governs time-step size. The key contribution is a computationally inexpensive method that avoids reconstructing time-dependent matrices, promoting code portability and maintainability across different supercomputing platforms. The paper's significance lies in its potential to improve the efficiency and portability of CFD codes by enabling larger time-steps and simplifying implementation.
Reference

“The method just relies on a sparse-matrix vector product where only vectors change on time.”

PermalinkArXiv