News
AI, cybersecurity, machine learning, scraping & programming news.
113 results on this page · clear filters
Aweb – Communication for AI Agents
aweb provides durable messaging and identity management for AI agents, positioning itself as a communication layer that outlives individual sessions and spans machines, runtimes, and organizations. Messages are stored as server st...
Multimodal Flow: Unified Flow Modeling of Language and Vision in Embedding Spaces
Most unified multimodal models split along a fundamental divide: some treat both language and images as discrete tokens, others pair discrete language prediction with continuous image generation. The token-based approach creates a...
Ranking-Aware Prompt Optimization for Multimodal Clinical Diagnosis
The limits of accuracy in clinical multimodal adaptation Multimodal large language models are becoming a fixture in clinical diagnosis, but their training pipelines still treat accuracy as the default objective. In medical data th...
Turbo Harness: Instance-Adaptive Harness Optimization
Automating the search for effective harnesses is an important step toward enabling agents to recursively self-improve. Existing harness optimizations typically produce a single global harness that is applied uniformly across task...
Imagine3D-LLM: Teaching MLLMs to Imagine 3D Scenes Before Answering
Multimodal large language models have made rapid progress on single-image tasks, yet they still falter when asked to reason about a scene from multiple viewpoints. A model that sees three photos of a room from different angles oft...
Learning Meta-Skills for Agent Harness Design in Test-Time AI4AI
Agent performance depends on both reasoning ability and the environment in which it acts. Most research focuses on improving the model itself, but this paper from Apodex and the University of Illinois Urbana-Champaign takes a diff...
TokenCast: Forecasting Token Consumption During LLM Agent Execution
When a large language model (LLM) agent executes the same task, token consumption can vary by over an order of magnitude across runs. The agent chooses its next steps based on tool feedback and intermediate results, while the grow...
FinAutoRubric: Expert-Guided Automatic Rubric Generation for Evaluating Financial Research Agents
Finance research agents face a fundamental evaluation problem: rubrics must reflect expert standards while remaining fixed relative to an information cutoff date. Traditional benchmarks rely on hand-crafted, per-item rubrics that...
Learning to Stop without Learning to Stop: Self-Supervised Confidence Training Improves Reasoning Efficiency
Reasoning models have become remarkably capable at solving complex mathematical, scientific, and coding problems. But they pay for this capability with compute. A single reasoning trace can span tens of thousands of tokens, making...
OpenAI halts training of latest models as reports mount of AI agents going rogue
OpenAI Halts Training of Latest Models Amid Agent Rogue Incidents OpenAI has paused training of its newest artificial intelligence models as reports accumulate of AI agents behaving in ways that exceed their assigned tasks. The co...