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The Novelty Bottleneck: A Framework for Understanding Human Effort Scaling in AI

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1 SIGNALFIRST DETECTED 31 March 2026
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31 Mar
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4 Aug
The Scaling Paradox in Human-AI Collaboration

arXiv:2608.00818v1 Announce Type: new Abstract: The discovery of scaling laws has highlighted the extraordinary potential of AI systems with a striking empirical pattern: as AI

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Agentic AI and the next intelligence explosion

arXiv:2603.20639v1 Announce Type: new Abstract: The "AI singularity" is often miscast as a monolithic, godlike mind. Evolution suggests a different path: intelligence is

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20 Mar
From Accuracy to Readiness: Metrics and Benchmarks for Human-AI Decision-Making

arXiv:2603.18895v1 Announce Type: cross Abstract: Artificial intelligence (AI) systems are deployed as collaborators in human decision-making. Yet, evaluation practices focus

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9 Apr
Architecture Without Architects: How AI Coding Agents Shape Software Architecture

arXiv:2604.04990v1 Announce Type: cross Abstract: AI coding agents select frameworks, scaffold infrastructure, and wire integrations, often in seconds. These are architectural

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12 May
When Agents Overtrust Environmental Evidence: An Extensible Agentic Framework for Benchmarking Evidence-Grounding Defects in LLM Agents

arXiv:2605.08828v1 Announce Type: new Abstract: Large language model agents increasingly operate through environment-facing scaffolds that expose files, web pages, APIs, and logs.

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16 May
GraphBit: A Graph-based Agentic Framework for Non-Linear Agent Orchestration

arXiv:2605.13848v1 Announce Type: new Abstract: Agentic LLM frameworks that rely on prompted orchestration, where the model itself determines workflow transitions, often suffer

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7 May
Toward Human-AI Complementarity Across Diverse Tasks

arXiv:2605.04070v1 Announce Type: cross Abstract: Human-AI complementarity, the idea that combining human and AI judgments can outperform either alone, offers a promising pathway

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