All articles, most recently crawled first.
This paper introduces a synthetic Bengali speech dataset of 10,000 audio-text pairs for telecom customer care scenarios, generated using OmniVoice voice-cloning, and evaluates it with an ASR model, achieving low word error rates.
This paper presents a case study on skill discovery and routing in a multimodal agent harness, showing that partial in-prompt exposure of skills can create lexical competition that hinders correct selection, linking small-scale in-context retrieval to large-scale approaches.
The paper proposes a framework for interpretable multimodal classification using Linear Discriminant Tree Ensembles, which balance accuracy and interpretability, outperforming Transformer models in F1-mod gains and human-annotator agreement scores.
This paper evaluates the safety risks of therapy bots for Generation Alpha, finding that large language models struggle to calibrate clinical risk correctly, leading to a significant vocabulary-comprehension gap that could result in missed crises.
This survey analyzes the impact of multimodality on agentic frameworks, examining core modules like perception, reasoning, and planning, and reviews applications across robotics, GUI navigation, and other domains.
This paper identifies a vulnerability in Large Language Models called Semantic Camouflage and proposes Latent Intent Verification, a lightweight probing defense that significantly improves detection rates against adversarial attacks.
This paper introduces a structured approach to extracting persona information for LLM-based digital twins, showing that structured representations improve predictive accuracy over raw transcripts. An automatic pipeline is proposed to adapt structures to different tasks.
PrimeAgentOrchestrator (PAO) is a system that spawns AI coding agents pre-loaded with relevant memories from personal databases to maintain context across sessions, detailed through an experience report of four months of deployment.
The paper formalizes Spec-Driven Agentic Development (SDAD) to restructure the software development lifecycle with AI, emphasizing precise specifications and multi-agent verification for disciplined agentic speed.
PiTrex is an open-source hardware cartridge expansion that connects a Raspberry Pi to the Vectrex console, replacing its 1980s CPU and allowing direct control of the original display and sound hardware.
Autonomous 5v5 soccer matches are underway at the World Humanoid Robot Games, with robots improving in fall recovery but still facing challenges in posture control after contact.
Robert Engle won the Nobel Prize in Economics for developing the GARCH model, which demonstrates that market volatility clusters and is predictable, a principle used in quantitative trading to size positions effectively.
An X/Twitter post discusses a technical issue on x.com where privacy-related browser extensions may cause problems, advising users to disable them and retry.
A guide to 17 essential skills for setting up a powerful Hermes AI agent, covering tools for internet access, UI improvement, multi-agent orchestration, and more to enhance functionality.
The article lists 10 Claude Connectors that automate research, workflows, and data tasks to enhance productivity for Claude users.
Michael Gannotti shares that he has brought DeepSeek's V4 Flash AI model back online on his NVIDIA DGX cluster after completing model training, allowing him to resume local inference for running agents.
A tweet shares a website that allows users to explore demographic data such as population pyramids, fertility rates, and mortality rates for any country by year.
This article introduces how to quickly set up an macOS-like desktop theme on Omarchy, using the MacTahoe GTK theme and WhiteSur icon theme, and achieve easy switching through scripted configurations.
Elon Musk responds to a tweet warning about an existential risk that could cause mass extinction in the US, Europe, and Asia if not addressed quickly.
Anthropic has released a 40-minute comprehensive guide on Loop Engineering, covering topics from building basic loops to advanced goal-setting in AI agents, aimed at changing how developers approach loop construction.