RIFT-Bench: Dynamic Red-teaming For Agentic AI Systems
arXiv:2606.23927v1 Announce Type: new Abstract: Agentic AI systems powered by large language models (LLMs) are rapidly evolving into autonomous decision-making systems, exposing...
Neuro-Symbolic Drive: Rule-Grounded Faithful Reasoning for Driving VLAs
arXiv:2606.23938v1 Announce Type: new Abstract: Driving VLA models incorporating Chain-of-Thought (CoT) reasoning are attractive because they leverage pretrained VLM representat...
Critique of Agent Model
arXiv:2606.23991v1 Announce Type: new Abstract: What is an agent? What constitutes agency? With the rise of Large Language Model (LLM) systems marketed as ``coding agents'', ``A...
Graph-Based Phonetic Error Correction of Noisy ASR
arXiv:2606.24889v1 Announce Type: new Abstract: Automatic speech recognition (ASR) systems, despite low overall word error rates, produce residual lexical errors that disproport...
AgentOdyssey: Open-Ended Long-Horizon Text Game Generation for Test-Time Continual Learning Agents
arXiv:2606.24893v1 Announce Type: new Abstract: For agents to learn continuously from interaction with the world at test time, they must be able to explore effectively, acquire...
Error-Aware TF-IDF Retrieval-Augmented Generation for ASR Error Correction
arXiv:2606.24915v1 Announce Type: new Abstract: End-to-end automatic speech recognition systems frequently hallucinate rare entities and domain-specific terms, especially in low...
OpenAI frontier models and Codex are now available on AWS
OpenAI frontier models and Codex are now generally available on AWS, giving enterprises a new path to build with OpenAI through the AWS environments, controls, and procurement w...
Databricks brings GPT-5.5 to enterprise agent workflows
Databricks uses GPT-5.5 for enterprise agent workflows after the model set a new state of the art on the OfficeQA Pro benchmark.
Introducing GPT-5.4 mini and nano
GPT-5.4 mini and nano are smaller, faster versions of GPT-5.4 optimized for coding, tool use, multimodal reasoning, and high-volume API and sub-agent workloads.
CyberSecEval 2 - A Comprehensive Evaluation Framework for Cybersecurity Risks and Capabilities of Large Language Models
CyberSecEval 2 - A Comprehensive Evaluation Framework for Cybersecurity Risks and Capabilities of Large Language Models
Introducing the Gemini 2.5 Computer Use model
Available in preview via the API, our Computer Use model is a specialized model built on Gemini 2.5 Pro’s capabilities to power agents that can interact with user interfaces.
Export Claude.ai chats, artifacts, and visible thinking
Article URL: https://github.com/lekandigital/claude-export-hub Comments URL: https://news.ycombinator.com/item?id=48680164 Points: 1 # Comments: 0
Is it agentic enough? Benchmarking open models on your own tooling
Is it agentic enough? Benchmarking open models on your own tooling
Introducing computer use in Gemini 3.5 Flash
Introducing computer use in Gemini 3.5 Flash
General LLMs outperform specialized clinical AI tools on medical benchmarks
Article URL: https://www.nature.com/articles/s41591-026-04431-5 Comments URL: https://news.ycombinator.com/item?id=48680020 Points: 1 # Comments: 0
A New Framework for Evaluating Voice Agents (EVA)
A New Framework for Evaluating Voice Agents (EVA)
Gemma Scope 2: helping the AI safety community deepen understanding of complex language model behavior
Open interpretability tools for language models are now available across the entire Gemma 3 family with the release of Gemma Scope 2.
Ask HN: Have you ever given your AI agent a phone number?
As Agents do more and more work. They need more access to real-world tools such as mail and phone numbers, payments, etc. Recently I gave a phone number to my Hermes. It's doing...
Safe and Generalizable Hierarchical Multi-Agent RL via Constraint Manifold Control
arXiv:2606.24010v1 Announce Type: new Abstract: Multi-agent systems are widely used in safety-critical applications that require coordinated behavior under strict safety constra...
Can Language Model Agents be Helpful Circuit Explainers in Mechanistic Interpretability?
arXiv:2606.24026v1 Announce Type: new Abstract: Mechanistic interpretability has made substantial progress in automatically localizing circuits, but explaining what localized co...