Recognising Capabilities: The Importance of Recognition for Human Flourishing
This article aims to enrich critical sociolegal scholarship and methodological approaches within the field of capability theory by introducing ‘recognising capabilities analysis’. The recognising capabilities analysis embeds Nancy Fraser’s theory of recognition (particularly her concept of parity of participation), into...
Aided by AI, California beach town broadens hunt for bike lane blockers
Hayden AI's cameras will scan for violations from 7 city vehicles.
Trump FTC wants Apple News to promote more Fox News and Breitbart stories
FTC claims Apple News suppresses conservatives, cites study by pro-Trump group.
US consumers, business pay 90% of tariff costs, says Federal Reserve
The Fed's research contradict Trump's claim foreign companies would bear the burden.
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Scaling the Scaling Logic: Agentic Meta-Synthesis of Logic Reasoning
arXiv:2602.13218v1 Announce Type: new Abstract: Scaling verifiable training signals remains a key bottleneck for Reinforcement Learning from Verifiable Rewards (RLVR). Logical reasoning is a natural substrate: constraints are formal and answers are programmatically checkable. However, prior synthesis pipelines either depend...
Lang2Act: Fine-Grained Visual Reasoning through Self-Emergent Linguistic Toolchains
arXiv:2602.13235v1 Announce Type: new Abstract: Visual Retrieval-Augmented Generation (VRAG) enhances Vision-Language Models (VLMs) by incorporating external visual documents to address a given query. Existing VRAG frameworks usually depend on rigid, pre-defined external tools to extend the perceptual capabilities of VLMs,...
General learned delegation by clones
arXiv:2602.13262v1 Announce Type: new Abstract: Frontier language models improve with additional test-time computation, but serial reasoning or uncoordinated parallel sampling can be compute-inefficient under fixed inference budgets. We propose SELFCEST, which equips a base model with the ability to spawn...
MoralityGym: A Benchmark for Evaluating Hierarchical Moral Alignment in Sequential Decision-Making Agents
arXiv:2602.13372v1 Announce Type: new Abstract: Evaluating moral alignment in agents navigating conflicting, hierarchically structured human norms is a critical challenge at the intersection of AI safety, moral philosophy, and cognitive science. We introduce Morality Chains, a novel formalism for representing...
A First Proof Sprint
arXiv:2602.13587v1 Announce Type: new Abstract: This monograph reports a multi-agent proof sprint on ten research-level problems, combining rapid draft generation with adversarial verification, targeted repair, and explicit provenance. The workflow uses wiring-diagram decompositions of claim dependencies to localize gaps and...
The acquisition of English irregular inflections by Yemeni L1 Arabic learners: A Universal Grammar approach
arXiv:2602.13816v1 Announce Type: new Abstract: This study examines the acquisition of English irregular inflections by Yemeni learners of English as a second language (L2), utilizing a Universal Grammar (UG) approach. Within the UG approach, the study considers Feature Reassembly Hypothesis...