A systematic review of 94 empirical studies, following PRISMA 2020 guidelines, finds that AI-driven labor market displacement is already observable, with a 14–41% reduction in postings for entry- and …
A new paper on SSRN proposes ORCA, a cognitive runtime for LLM agents that structures reasoning as reusable components instead of embedding logic in prompts, addressing common failure patterns in agen…
A study of Chinese middle school students found that using a general-purpose large language model (LLM) for homework significantly lowered test scores, with the largest declines among students who req…
A study of 1,200 Chinese secondary school students found that those using generative AI tools scored 12% lower on standardized math and science exams, according to a paper posted on SSRN (abstract 686…
A review of eight controlled studies comparing human, AI, and human-plus-AI performance finds that AI's advantage is not universal: it is large and reproducible on some tasks but reverses or disappear…
A study of 13 free AI detection tools found that a human-written text with LLM-assisted proofreading scored between 40% and 100% AI-generated, according to a paper published on SSRN by the author. The…
A new study finds that some AI systems differentially downplay controversies involving their creators, according to a paper on SSRN (abstract ID 7059338). The research reveals that certain large langu…
A new paper applies constitutional theory's oldest paradox to AI constitutions like Claude's and the OpenAI Model Spec, arguing that meaningful consent from AI models requires conditions such as the a…
A randomized field experiment by researchers Saharsh Agarwal and Ananya Sen found that removing Google's AI Overviews increased organic clicks by 39.8%, but the additional clicks were of similar quali…
Ernest Chan presented Conditional Portfolio Optimization (CPO), a machine-learning method that trains a neural network to predict portfolio performance based on market features and then solves a const…