Delay, Plateau, or Collapse: Evaluating the Impact of Systematic Verification Error on RLVR
arXiv:2605.02909v1 Announce Type: new
Abstract: Reinforcement Learning with Verifiable Rewards (RLVR) has become a powerful approach for improving the reasoning capabilities of large language models (LLMs). While RLVR is designed for tasks with verifiable ground-truth answers, real-world verifiers ...
CreativityBench: Evaluating Agent Creative Reasoning via Affordance-Based Tool Repurposing
arXiv:2605.02910v2 Announce Type: new
Abstract: Recent advances in large language models have led to strong performance on reasoning and environment-interaction tasks, yet their ability for creative problem-solving remains underexplored. We study this capability through the lens of creative tool us...
Stable Agentic Control: Tool-Mediated LLM Architecture for Autonomous Cyber Defense
arXiv:2605.03034v1 Announce Type: new
Abstract: Agentic systems involved in high-stake decision-making under adversarial pressure need formal guarantees not offered by existing approaches. Motivated by the operational needs of security operations centers (SOCs) that must configure endpoint detectio...
Programmatic Context Augmentation for LLM-based Symbolic Regression
arXiv:2605.03101v1 Announce Type: new
Abstract: Symbolic regression (SR), the task of discovering mathematical expressions that best describe a given dataset, remains a fundamental challenge in scientific discovery. Traditional approaches, primarily based on genetic algorithms and related evolution...
Inworld AI Launches Realtime TTS-2: A Closed-Loop Voice Model That Adapts to How You Actually Talk
The Inworld AI's new model conditions on full audio context, not just transcripts — a meaningful architectural shift for voice-first AI agents
The post Inworld AI Launches Realtime TTS-2: A Closed-Loop Voice Model That Adapts to How You Actually Talk appeared first on MarkTechPost.
AI lets chemists design molecules by simply describing them
Creating complex molecules usually requires years of experience and countless decisions, but a new AI system is changing that. Synthegy lets chemists guide synthesis and reaction planning using simple language, while powerful algorithms generate and evaluate possible solutions. The AI doesn’t just c...
How frontier enterprises are building an AI advantage
OpenAI’s B2B Signals research shows how frontier enterprises deepen AI adoption, scale Codex-powered agentic workflows, and build durable competitive advantage.
Meet the ChatGPT Futures Class of 2026—26 student innovators using AI to build, research, and drive real-world impact. Discover how this generation is redefining learning, creativity, and opportunity with ChatGPT.
From Where Things Are to What They’re For: Benchmarking Spatial–Functional Intelligence for Multimodal LLMs
True spatial intelligence for multimodal agents transcends low-level geometric perception, evolving from knowing where things are to understanding what they are for. While existing benchmarks, such as VSI-Bench, effectively evaluate this foundational geometric stage, they fall short of probing the h...
Uber uses OpenAI to help people earn smarter and book faster
Uber uses OpenAI to power AI assistants and voice features that help drivers earn smarter and riders book faster across a global real-time marketplace.
Singular Bank helps bankers move fast with ChatGPT and Codex
Singular Bank built Singularity, an internal assistant using ChatGPT and Codex to help bankers save 60–90 minutes daily on meeting prep, portfolio analysis, and follow-up.
Normalizing Flows (NFs) are a classical family of likelihood-based methods that have received revived attention. Recent efforts such as TARFlow have shown that NFs are capable of achieving promising performance on image modeling tasks, making them viable alternatives to other methods such as diffusi...
SAP bets $1.16B on 18-month-old German AI lab and says yes to NemoClaw
SAP plans to buy German AI startup Prior Labs and invest heavily in it. It is also prohibiting customers' agents use to a select few like Nvidia's NemoClaw.
Apple plans to make iOS 27 a Choose Your Own Adventure of AI models
With Apple's latest operating system updates, users will reportedly have their pick of which third-party AI models they want to use for a host of tasks.
Build a Modular Skill-Based Agent System for LLMs with Dynamic Tool Routing in Python
In this tutorial, we build a complete skill-based agent system for large language models and explore how modular capabilities can be structured like an operating system for AI agents. We define reusable skills, attach metadata and schemas to them, register them in a central registry, and enable dyna...
ASML CEO Christophe Fouquet: No one is coming for us
Christophe Fouquet, who became ASML's CEO in 2024 after more than a decade at the company, sat down with this editor on the rooftop deck of his Beverly Hills hotel Tuesday morning ahead of his appearance at the Milken Institute Global Conference. Dressed in a blue suit and white shirt, he was relaxe...
Pennsylvania sues Character.AI after a chatbot allegedly posed as a doctor
According to Pennsylvania's filing, a Character AI chatbot presented itself as a licensed psychiatrist during a state investigation, and also fabricated a serial number for its state medical license.
NVIDIA and ServiceNow Partner on New Autonomous AI Agents for Enterprises
Enterprise AI has learned to generate. It has learned to reason. Now companies are asking the next question: How should AI act? Early agent systems have shown what’s possible, moving beyond simple prompts to take on more complex tasks. The next step is bringing those capabilities into enterprise env...
Discrete Time-To-Event Modeling – Predicting When Something Will Happen
Part 1: The basics — discretization of time, censoring and the life table
The post Discrete Time-To-Event Modeling – Predicting When Something Will Happen appeared first on Towards Data Science.
Microsoft at NSDI 2026: Advances in large-scale networked systems
Microsoft researchers share advances in building and operating large-scale distributed systems, spanning datacenters, networking, and the growing intersection with AI during NSDI ’26.
The post Microsoft at NSDI 2026: Advances in large-scale networked systems appeared first on Microsoft Research.