Generative AI technologies are increasingly acquiring characteristics of interactive cognitive agents. These systems have considerable potential to augment learning and creativity, but they also pose novel challenges to the human mind. Continuous reliance on generative AI may result in cognitive surrender, where decision-making and reasoning are progressively outsourced to the algorithms. Widespread generative AI use may result in the homogenisation of language and reduce epistemic diversity. Although generative AI is unlikely to cause primary delusions, its interactive and sycophantic nature may reinforce overvalued ideas in a vulnerable population. We argue that AI may augment cognition and creativity if efforts are made towards AI literacy, critical- thinking education, and human-in-the-loop practices.
The integration of Large Language Models into enterprise network architectures has introduced severe cybersecurity vulnerabilities, most notably adversarial prompt injection and zero-day data extraction attacks. Traditional network security protocols are fundamentally ill-equippe…
The emergence of Large Language Models (LLMs) has fundamentally changed how users discover information. Instead of retrieving ranked hyperlinks, modern AI systems synthesize responses by integrating information from multiple sources and recommending entities directly within gener…
This paper proposes a philosophical framework regarding the subjectivity of large language models. The core thesis is: LLMs possess a "Functional Subject"---capable of maintaining persona, remembering history, simulating dialogue---but this "self" is a structural overflow forced…
This paper develops a causal theory for distinguishing information processing from genuine knowledge acquisition in artificial intelligence. Large language models can generate accurate explanations, solve unfamiliar problems, and reconstruct complex conceptual relations. However,…
Raising the temperature does not make a language model more creative, and this paper shows why at the level of the token race: temperature collapses value and coherence without ever raising novelty, while prompts that change which continuations can win raise judged novelty monoto…
Urban carbon flux estimation remains a critical challenge for net-zero planning, as conventional process-based models fail to capture the dynamic, multi-scale interactions between human decisions and physical systems. We propose the Spatio-Temporal Graph Multi-Agent Carbon Flux M…