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Everyday objects, whether placed by an adversary or introduced by ordinary rearrangement of the environment, are thus sufficient to overturn a refusal, and susceptibility to safety bypass is called a property of the task, which it is shown that it can be predicted before the target is ever queried.
Automatic speech recognition (ASR) still covers only a small fraction of the world’s languages, mainly due to supervised data scarcity. In-context learning (ICL) with large language models (LLMs) addresses this problem, but prior work largely focuses on high-resource languages covered during training and text-only sett...
The EU Artificial Intelligence Act requires high-risk AI systems to record events automatically, requires providers and deployers to keep those logs, and gives authorities access to them. The Act says what logs are for - traceability, monitoring, post-market surveillance - but it does not say what a log proves. That si...
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This article analyzes the pedagogical and methodological foundations of developing students’ speaking skills in English language lessons. Speaking skills are regarded as an essential component of communicative competence in foreign language acquisition. The study examines the potential of the communicative approach, Ta...
当前人工智能大模型在长期记忆保持与幻觉抑制方面面临严峻挑战,其核 心痛点在于缺乏一个能够统筹信息存储与生成约束的统一状态场。本文基于 “太极统一场论”的工程落地探索,提出将长期记忆与 AI 幻觉视为同一对偶约 束在不同区间的显化。本文构建了统一标度 K = 观测尺度/记忆场参考尺度(或 等价的对偶失衡度 K,K∈[-1,1]),并明确了三区间判据:K<0...
Materials for an exploratory evaluation of Warrant (https://doi.org/10.5281/zenodo.23029803). Twenty small Python command-line tasks, each with plain-language promises, visible checks, hidden checks, an audit suite, a reference implementation and deliberately broken implementations; the validity gates; the harness; Par...
his paper investigates whether the linguistic content of project descriptions from major voluntary carbon registries can predict credit issuance and retirement outcomes, focusing on forest-based carbon projects. We apply natural language processing techniques including lemmatisation, bigram analysis, semantic families...
Decentralizing Intelligence: Edge AI, Sovereign Data, and the Resurgence of Tech Jobs Abstract & Overview: September 2026 ABSTRACT The rapid acceleration of artificial intelligence has historically favored a centralized paradigm characterized by massive hyper-scale cloud deployments, monopolistic data aggregations, and...
Spatial intelligence requires models to infer and maintain coherent three-dimensional structure, preserve objects and relations across viewpoints, compose interactable environments, and respect geometric and physical constraints. Progress toward such world models is limited by two forms of data scarcity: a shortage of...
AviGPT-250M-Instruct is a 250M-parameter autoregressive small language model (SLM) introducing a Semi-Parametric Decoupling paradigm for resource-constrained edge computing. Rather than overloading transformer weights with static encyclopedic memorization and floating-point arithmetic approximation, AviGPT-250M delegat...
A privacy-first, self-hosted gateway for local large language models (Ollama). Pukara runs a Dockerized Ollama server behind an application-layer encrypted proxy, and ships a desktop client that pseudonymises sensitive entities on-device (BERT + regex) before anything leaves the machine. The name Pukara (Quechua for "f...
Earth AI
A Blog post by Ai2 on Hugging Face
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