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arXiv:2609.01685v1 Announce Type: new Abstract: With the development of artificial intelligence AI, the landscape of metaethics, which has largely centred on human ethics, faces pressures that may significantly reconfigure it.
arXiv:2609.01741v1 Announce Type: new Abstract: Statutes are increasingly parsed by machines before people read them, and the parsers disagree: on Missouri's statutes, two independently written extractors diverge on numericthreshold presence at a falsenegative rate of 0.43.
arXiv:2609.01814v1 Announce Type: new Abstract: Information sharing can improve a pooled estimate while eliminating independent rescue actions. This paper separates those effects in exact finite discovery models.
arXiv:2609.01815v1 Announce Type: new Abstract: How humans grow and maintain abstract knowledge from the sparse, streaming noisy data of experience is a longstanding challenge in cognitive science.
arXiv:2609.01834v1 Announce Type: new Abstract: As enterprise platforms transition to conversational reasoning interfaces, the stateless nature of LLM APIs creates an architectural gap.
arXiv:2609.01849v1 Announce Type: new Abstract: This article presents SSAKG 2.0, an opensource software package for constructing and operating Structural Sequential Associative Knowledge Graphs SSAKGs.
arXiv:2609.01852v1 Announce Type: new Abstract: Persistent memory supports personalized agents, but a stale stored fact can override current authoritative evidence without warning. We study when this harm begins as model capability changes.
arXiv:2609.01861v1 Announce Type: new Abstract: The performance of an LLM agent depends on the scaffold around a frozen model.
arXiv:2609.01873v1 Announce Type: new Abstract: Multiagent AI systems improve inference by spawning agents and synthesizing reports.
The company is reducing pressure on workers to use artificial intelligence tools while encouraging them to experiment with Hatch, its most advanced AI project yet.
GPT6 Astra is our most capable broadly deployed model and our first to reach the Critical level of cybersecurity capability under our Preparedness Framework.
Fine-tuning a 350M Model for Better Structured Outputs in 100 GRPO Steps