Convergent Evolution
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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.
Mutation Without Variation: Convergence Dynamics in LLM-Driven Program Evolution
Announce Type: new Abstract: When an LLM repeatedly mutates a program, does it explore new forms or circle back to the same ones? We study this question by analyzing LLM-driven mutation chains in the absence of selection pressure within a domain-specific language, varying prompt design, model family, and stochastic replication. We find that LLM-based mutation consistently converges toward restricted attractor regions in program space.
Tiny-armed alvarezsauroid dinosaurs might have been insect eaters, fossil scans suggest
June 1, 2026 feature Tiny-armed alvarezsauroid dinosaurs might have been insect eaters, fossil scans suggest Ingrid Fadelli Author Sadie Harley Scientific Editor Robert Egan Associate Editor Dinosaurs are estimated to have roamed Earth for over 165 million years, gradually evolving over time to survive in changing environments. Among the many fascinating groups of dinosaurs known to have lived on our planet are alvarezsauroids. These dinosaurs possessed extremely short but powerful forelimbs...
Dead Sea archaea sport reinforced swimming tail for hypersalty waters
Dead Sea archaea sport reinforced swimming tail for hypersalty waters Sadie Harley Scientific Editor Robert Egan Associate Editor Living in the Dead Sea would be a very unpleasant experience for most creatures. With salt concentration above 30% and temperatures ranging from 10–50°C, it takes unique environmental adaptations to survive in such harsh conditions. In a new Nature Communications study, researchers from the Okinawa Institute of Science and Technology (OIST) and the Institute of...
Octopuses use mirrors to find food they cannot see
Octopuses use mirrors to find food they cannot see Octopuses just joined an exclusive intelligence club by learning to use mirrors to find hidden food. - Date: - June 5, 2026 - Source: - Dartmouth College - Summary: - Octopuses may be even smarter than we thought.
Robot fish could unravel how our ancient ancestors first learned to walk
Robot fish could unravel how our ancient ancestors first learned to walk Sadie Harley Scientific Editor Robert Egan Associate Editor Researchers have developed a fish-like robot that shows how some species of modern fish are able to walk on land, and could help unravel how early vertebrates evolved similar abilities hundreds of millions of years ago. Revealing a shared walking pattern Using a combination of their "walking fish" robot and computer models based on observations of real fish,...
Octopuses learn mirror-guided navigation to locate prey
Octopuses learn mirror-guided navigation to locate prey Lisa Lock Scientific Editor Robert Egan Associate Editor Octopuses are remarkably intelligent creatures, as was demonstrated by Inky the Octopus's famous escape from the National Aquarium of New Zealand through a drainpipe back to sea in 2016. A new Dartmouth study shows octopuses can use mirrors to find food out of sight, demonstrating spatial cognitive abilities. The results are published in Current Biology.
Sakana AI's Recursive Self-Improvement (RSI) Lab
The Next Paradigm of Artificial Intelligence As the world enters the era of artificial intelligence, Japan has a unique opportunity to reclaim its position at the frontier of global innovation. However, to achieve global leadership in AI and scientific discovery, we cannot simply stick to the conventional approach of brute-forcing monolithic models. We must leapfrog the current paradigm.
From Mean-Field Limits to Semiclassical Concentration: Global Convergence of the Canonical Evolutionary Strategy
arXiv:2605.30371v1 Announce Type: new Abstract: We address the issue of global convergence in stochastic continuous optimization. For that purpose, we formulate the Canonical Evolutionary Strategy (CES) as a controlled mathematical framework to analyze global convergence in evolutionary algorithms via the semiclassical limit of a Schr{\"o}dinger-type replicator-mutator equation. We provide a rigorous hierarchy from a discrete individual-based dynamics to a deterministic mean-field limit,...
Model Context Protocols in Adaptive Transport Systems: A Survey
Announce Type: replace Abstract: The rapid expansion of interconnected devices, autonomous systems, and AI applications has created severe fragmentation in adaptive transport systems, where diverse protocols and context sources remain isolated. This survey provides the first systematic investigation of the Model Context Protocol (MCP) as a unifying paradigm, highlighting its ability to bridge protocol-level adaptation with context-aware decision making. Analyzing established literature, we...