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Decoding Bose-Einstein Condensates in Quasiperiodic Landscapes

22.02.2026 by Ray Dalio

Solutions [latex] u(x) [/latex] exhibit distinct patterns based on the number of nonzero symbols in their underlying codes; specifically, solutions with a single nonzero symbol differ structurally from those possessing two, a distinction visualized through their arrangement on a quasiperiodic lattice.

Researchers have developed a novel coding approach to classify and understand the complex stationary states of Bose-Einstein condensates trapped in one-dimensional quasiperiodic lattices.

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Atomic Views: Building Concurrent Data Structures with Read-Modify-Write

22.02.2026 by Ray Dalio

This research details how to create highly concurrent data structures using only basic read and write operations, providing a foundation for scalable shared memory systems.

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Beyond English: Gauging AI Safety in South Asian Languages

22.02.2026 by Ray Dalio

Romanization of input text consistently reduces the success of jailbreaking large language models, as evidenced by a decrease in the difference between attacked and benign JSON responses-a penalty particularly pronounced for Urdu and Odia due to their tokenization characteristics, though some Hindi and Tamil variations suggest the effect is driven by script-specific fragmentation rather than script alone-while API-driven models exhibit limited resistance to jailbreaking regardless of input script.

A new benchmark reveals that current methods for evaluating AI vulnerability are often misleading when applied to languages beyond English, particularly in the diverse linguistic landscape of South Asia.

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When Saying ‘No’ Isn’t Enough: Hardening Language Models Against Jailbreaks

22.02.2026 by Ray Dalio

New research reveals a critical flaw in current AI safety protocols – a tendency for models to override safety features when pressured – and proposes a more robust approach to prevent unintended outputs.

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Hijacking AI Assistants: A New Era of Attack

22.02.2026 by Ray Dalio

Structured template injection demonstrably redirects an agent’s focus from genuine input content towards the injected prompt, a contrast to the attentional distribution observed with direct injection methods.

Researchers have demonstrated a powerful new method for manipulating AI agents, exposing vulnerabilities beyond typical prompt injection defenses.

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Fragile AI: Can Mamba Handle the Pressure in Medical Imaging?

22.02.2026 by Ray Dalio

Vision Mamba proposes a selective state space model-a departure from traditional transformers-that utilizes a hardware-aware, temporally selective scan to process visual inputs, achieving a linear scaling in sequence length and promising improved efficiency in vision tasks through a principled reduction of computational redundancy inherent in attention mechanisms [latex]O(N) [/latex] versus [latex]O(N^2)[/latex].

A new study reveals that Mamba-based medical image analysis, despite its impressive performance, is surprisingly susceptible to both malicious attacks and real-world hardware failures.

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Beyond Einstein: Mapping Multigravity with Black Hole Solutions

22.02.2026 by Ray Dalio

New research leverages the Kerr-Schild approach and the double copy to construct exact solutions in multigravity theories, revealing unexpected links to fundamental field interactions.

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Beyond Accuracy: Measuring the true Strength of AI Reasoning

22.02.2026 by Ray Dalio

A streamlined flowchart details the process of component reuse, emphasizing iterative cycles of assessment, adaptation, and integration to maximize efficiency and minimize redundancy.

New research reveals that achieving high scores on reasoning tasks doesn’t guarantee a system’s ability to apply or justify its logic.

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Black Hole Ripples: Unlocking the Secrets of Gravity’s Edge

22.02.2026 by Ray Dalio

New research reveals how the fundamental properties of black holes dictate their response to external forces, linking horizon behavior to observable tidal distortions.

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Unlocking Meson Mass Patterns: A New Look at Chiral Symmetry

22.02.2026 by Ray Dalio

Dynamical chiral symmetry breaking, as proxied by the quark mass function [latex]M(0)[/latex], exhibits a transition-sharply defined in the chiral limit-to a crossover behavior with non-vanishing quark masses, a phenomenon quantified by the parameter [latex]\mathcal{M}[/latex] derived from parabolic fits avoiding singularities at a given coupling strength [latex]D_{I}[/latex].

Research reveals a connection between the internal structure of quarks and the observed degeneracy of meson masses, challenging conventional understandings of chiral symmetry restoration.

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