Evolution
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'Evolution' at 25: A perfect fusion of 'Ghostbusters' and 'Men in Black' that's become a sci-fi comedy classic
'Evolution' at 25: A perfect fusion of 'Ghostbusters' and 'Men in Black' that's become a sci-fi comedy classic Pour out a bottle of Head & Shoulders for Ivan Reitman's Evolution on its 25-year anniversary. What started off as a sci-fi horror turned into one of the best sci-fi comedies ever when it dropped 25 years ago. Being true to its title, Ivan Reitman's "Evolution" proves that nothing ever stays the same – including story.
Dual-Chassis Strategy for Bridging Adaptive Evolution and Rational Design for Synthetic Biology
Genome streamlining and pathway refactoring are powerful strategies for constructing controllable microbial chassis for both fundamental studies and applications. While rational design benefits from reduced genetic complexity, adaptive laboratory evolution (ALE) thrives on metabolic redundancy, creating a mismatch between optimal hosts for design and evolution. Here, we introduce a dual chassis framework (DUET) in which rational pathway construction and adaptive evolution are first carried...
Evolution of Log-Based Detection Rules in Public Repositories
arXiv:2605.05383v3 Announce Type: replace Abstract: Log-based detection rules remain central to modern security operations, encoding domain expertise that analysts iteratively refine to balance detection coverage against alert volume. Yet while prior work has examined the evolution of network intrusion detection signatures, the longitudinal behavior of log-based detection rules has received little empirical study. We present the first longitudinal analysis of detection rule evolution across...
TAME: A Trustworthy Test-Time Evolution of Agent Memory with Systematic Benchmarking
arXiv:2602.03224v2 Announce Type: replace Abstract: Test-time evolution of agent memory represents a pivotal paradigm for advancing AGI, as it strengthens complex reasoning through experience accumulation without requiring parameter updates. However, even during benign task evolution, agent safety alignment remains vulnerable, a phenomenon known as Agent Memory Misevolution. To evaluate this phenomenon, we construct the Trust-Memevo benchmark and find that agents exhibit an overall decline...
Q-Delta: Beyond Key-Value Associative State Evolution
Announce Type: new Abstract: Linear attention reformulates sequence modeling as recurrent state evolution, enabling efficient linear-time inference. Under the key-value associative paradigm, existing approaches restrict the role of the query to the readout operation, decoupling it from state evolution. We show that query-conditioned state readout induces a structured value prediction over accumulated memory that complements key-based retrieval.
Harness Updating Is Not Harness Benefit: Disentangling Evolution Capabilities in Self-Evolving LLM Agents
Announce Type: new Abstract: LLM agents are increasingly deployed as systems built around editable external harnesses, including prompts, skills, memories and tools, that shape task execution without changing model parameters. Harness self-evolution adapts such agents by updating these harnesses from execution evidence. Yet it remains unclear whether a model's base capability in task-solving predicts its capabilities in harness self-evolution: which models produce useful harness updates, and...
Convergent Evolution in Tumor Genomes Targets Functional Domains
Tumor evolution is shaped by selective pressures that repeatedly favor similar functional outcomes across genetically distinct cancers. While convergent evolution in cancer has been studied at the gene level, this work investigates selection on smaller functional units, namely protein domains. Using >9,500 primary tumor exomes from The Cancer Genome Atlas, we quantified selection strengths acting on missense and truncating mutations aggregated by protein domain.
Semantic knowledge guides innovation and drives cultural evolution
arXiv:2510.12837v4 Announce Type: replace Abstract: Cultural evolution allows ideas and technologies to accumulate across generations, reaching their most complex and open-ended form in humans. While social learning enables the transmission of such innovations, the cognitive processes that generate them remain poorly understood. Classical theories typically treat innovation as random variation, a simplification insufficient for explaining the complexity of human cultural evolution.
Depth over Fidelity in Fixed-Budget Noisy Evolution Strategies
Announce Type: new Abstract: Noisy evolution strategies under fixed evaluation budgets face a depth-fidelity trade-off: spending evaluations to denoise intra-generation rankings reduces the number of distribution updates the optimizer can execute. We argue for depth over fidelity and propose probabilistic elite membership (PEM), which replaces hard rank-based weights in evolution strategies with conditional expected rank weights that integrate over ranking uncertainty. PEM preserves the...
SAGE: A Novelty Gate for Efficient Memory Evolution in Agentic LLMs
Announce Type: new Abstract: Agentic LLMs must continuously decide whether newly extracted facts should be added, merged with existing memories, or ignored, yet prior work has focused more on retrieval and storage than on principled write-side control. We frame memory evolution as a novelty-detection problem and propose SAGE, a Spherical Adaptive Gate for memory Evolution that scores candidate facts with a von Mises-Fisher-based density estimator over memory embeddings and routes them with...