arXiv:2604.02458v1 Announce Type: new Abstract: Behavioral simulation is increasingly used to anticipate responses to interventions. Large language models (LLMs) enable researchers to specify population characteristics and intervention context in natural language, but it remains unclear to what extent LLMs can use these inputs to infer intervention effects. We evaluated three LLMs on 11 climate-psychology interventions using a dataset of 59,508 participants from 62 countries, and replicated the main analysis in two additional datasets (12 and 27 countries). LLMs […]

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How a JSON or JSON-like language enables the next generation of safe human and AI-generated UIs Introduction In The Future of AI-Generated UI, I pointed out that the raw JavaScript generated by AI-generated code is a security problem, and the flexibility of JavaScript without a framework can result in hard-to-manage code. I argued that we need declarative, sandboxed formats like A2UI or a Computational DOM (cDOM) with JSON Pointer Regular Expressions (JPRX if), if we want to trust […]

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Preference-Conditioned Policy Learning (PCPL) in Multi-Objective Reinforcement Learning (MORL) aims to approximate diverse Pareto-optimal solutions by conditioning policies on user-specified preferences over objectives. This enables a single model to flexibly adapt to arbitrary trade-offs at run-time by producing a policy on or near the Pareto front. However, existing benchmarks for PCPL are largely restricted to toy tasks and fixed environments, limiting their realism and scalability. To address this gap, we introduce GraphAllocBench, a flexible benchmark built on a […]

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arXiv:2601.17023v1 Announce Type: new Abstract: Career decision-making is a socio-technical problem: individuals exercise bounded agency while navigating labor market institutions, organizational incentive structures, and information asymmetries that shape feasible trajectories. Existing frameworks optimize along single dimensions – financial returns, work-life balance, or mission alignment – without explicit models for inter-dimensional tradeoffs or temporal dynamics. We propose The Three Axes of Success, a normative decision framework decomposing career trajectories into Wealth (career capital accumulation and economic optionality), Autonomy (control […]

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arXiv:2603.22376v1 Announce Type: new Abstract: Recent advances in AI agents for software engineering and scientific discovery have demonstrated remarkable capabilities, yet their application to developing novel ranking models in commercial search engines remains unexplored. In this paper, we present an AI Co-Scientist framework that automates the full search ranking research pipeline: from idea generation to code implementation and GPU training job scheduling with expert in the loop. Our approach strategically employs single-LLM agents for routine tasks while leveraging […]

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arXiv:2604.09742v1 Announce Type: new Abstract: Rotary Position Embedding (RoPE) has become a core component of modern Transformer architectures across language, vision, and 3D domains. However, existing implementations rely on vector-level split and merge operations that introduce non-negligible computational overhead, often overlooked in attention optimization. The problem is further amplified in multi-dimensional settings (e.g., 2D and 3D RoPE), where additional vector operations and uneven feature partitions degrade hardware utilization. To overcome these limitations, we propose RoME (Rotary Matrix position […]

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arXiv:2602.12289v1 Announce Type: new Abstract: The DC-side ground fault (GF) poses significant risks to three-phase TN-earthed photovoltaic (PV) systems, as the resulting high fault current can directly damage both PV inverters and PV modules. Once a fault occurs, locating the faulty string through manual string-by-string inspection is highly time-consuming and inefficient. This work presents a comprehensive analysis of GF characteristics through fault-current analysis and a simulation-based case study covering multiple fault locations. Building on these insights, we propose […]

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:::info Astounding Stories of Super-Science October 2022, by Astounding Stories is part of HackerNoon’s Book Blog Post series. You can jump to any chapter in this book here. THE MURDER OF ROGER ACKROYD – POIROT PAYS A CALL Astounding Stories of Super-Science October 2022: THE MURDER OF ROGER ACKROYD – POIROT PAYS A CALL By Agatha Christie ::: I was slightly nervous when I rang the bell at Marby Grange the following afternoon. I wondered very much what Poirot expected […]

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The Claude C Compiler: What It Reveals About the Future of Software On February 5th Anthropic’s Nicholas Carlini wrote about a project to use parallel Claudes to build a C compiler on top of the brand new Opus 4.6 Chris Lattner (Swift, LLVM, Clang, Mojo) knows more about C compilers than most. He just published this review of the code. Some points that stood out to me: Good software depends on judgment, communication, and clear abstraction. AI has […]

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