AI startup funding, launches, and acquisitions
I've been reviewing how various AI memory systems evaluate their performance and noticed a fundamental issue with cross-system comparison...
Runway is launching a $10 million fund and startup program to back companies building with its AI video models, as it pushes toward inter...
California has defied Trump's demands to stop AI regulation.
![[2602.22769] AMA-Bench: Evaluating Long-Horizon Memory for Agentic Applications](https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png){kind=logo}
The paper introduces AMA-Bench, a new benchmark for evaluating long-horizon memory in Large Language Models (LLMs) for agentic applicatio...
This paper analyzes physician disagreement in the HealthBench dataset, identifying key factors contributing to variance in evaluations an...
This survey paper explores the development of personalized LLM-powered agents, focusing on their foundations, evaluation metrics, and fut...
MobilityBench introduces a benchmark for evaluating LLM-based route-planning agents, addressing challenges in real-world mobility scenari...
This paper explores the integration of psychometric rater models into AI evaluation, aiming to correct human label biases and improve the...
CourtGuard introduces a model-agnostic framework for zero-shot policy adaptation in LLM safety, enhancing adaptability and performance wi...
The paper presents DyCausal, a framework for learning dynamic causal structures in time series data, addressing challenges of time-varyin...
The paper presents TEFL, a novel framework for multi-horizon time series forecasting that utilizes prediction residuals to enhance accura...
The paper introduces VeRO, an evaluation harness designed for optimizing coding agents through structured evaluation and benchmarking, ad...
This paper explores the limitations of current evaluation methods in federated learning, emphasizing the need for a multidimensional appr...
This article presents a framework for evaluating AI agent decisions in AutoML pipelines, emphasizing decision-centric metrics over tradit...
The FIRE benchmark evaluates financial intelligence and reasoning in LLMs through diverse theoretical and practical assessments, providin...
The Pentagon's ultimatum to Anthropic over AI control raises critical questions about military access to advanced technologies and the et...
The article discusses the current demand for a specific job role in AI, highlighting its relevance in the industry and potential career o...
Anthropic has rejected the Pentagon's latest offer, intensifying the ongoing conflict over AI regulations and military applications.
The article explores the rise of no-code machine learning tools, focusing on how they simplify video creation workflows, particularly thr...
This article presents over 20 AI project ideas tailored for various skill levels, providing a roadmap for building portfolio-ready projec...
The Uncanny Valley podcast discusses the escalating feud between Anthropic and the Pentagon over AI technology use, the concept of agenti...
Anthropic has declined the Pentagon's latest offer, citing ethical concerns about aligning with military interests in AI development.
Anthropic CEO Dario Amodei refuses Pentagon demands for unrestricted military access to AI systems, citing concerns over democratic value...
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