Agentic Control Center for Data Product Optimization
arXiv:2603.10133v1 Announce Type: new
Abstract: Data products enable end users to gain greater insights about their data by providing supporting assets, such as example question-SQL pairs which can be answered using the data or views over the database tables. However, producing useful data products...
Hybrid Self-evolving Structured Memory for GUI Agents
arXiv:2603.10291v1 Announce Type: new
Abstract: The remarkable progress of vision-language models (VLMs) has enabled GUI agents to interact with computers in a human-like manner. Yet real-world computer-use tasks remain difficult due to long-horizon workflows, diverse interfaces, and frequent inter...
HEAL: Hindsight Entropy-Assisted Learning for Reasoning Distillation
arXiv:2603.10359v1 Announce Type: new
Abstract: Distilling reasoning capabilities from Large Reasoning Models (LRMs) into smaller models is typically constrained by the limitation of rejection sampling. Standard methods treat the teacher as a static filter, discarding complex "corner-case" problems...
Beyond Scalars: Evaluating and Understanding LLM Reasoning via Geometric Progress and Stability
arXiv:2603.10384v1 Announce Type: new
Abstract: Evaluating LLM reliability via scalar probabilities often fails to capture the structural dynamics of reasoning. We introduce TRACED, a framework that assesses reasoning quality through theoretically grounded geometric kinematics. By decomposing reaso...
Verbalizing LLM's Higher-order Uncertainty via Imprecise Probabilities
arXiv:2603.10396v1 Announce Type: new
Abstract: Despite the growing demand for eliciting uncertainty from large language models (LLMs), empirical evidence suggests that LLM behavior is not always adequately captured by the elicitation techniques developed under the classical probabilistic uncertain...
We propose a 3D latent representation that jointly models object geometry and view-dependent appearance. Most prior works focus on either reconstructing 3D geometry or predicting view-independent diffuse appearance, and thus struggle to capture realistic view-dependent effects. Our approach leverage...
3 Questions: On the future of AI and the mathematical and physical sciences
Professor Jesse Thaler describes a vision for a two-way bridge between artificial intelligence and the mathematical and physical sciences — one that promises to advance both.
TL;DR: We've added a tool to the Deep Agents SDK (Python) and CLI that allows models to compress their own context windows at opportune times.MotivationContext compression is an action that reduces the information in an agent’s working memory. Older messages are replaced by
NVIDIA Releases Nemotron 3 Super: A 120B Parameter Open-Source Hybrid Mamba-Attention MoE Model Delivering 5x Higher Throughput for Agentic AI
The gap between proprietary frontier models and highly transparent open-source models is closing faster than ever. NVIDIA has officially pulled the curtain back on Nemotron 3 Super, a staggering 120 billion parameter reasoning model engineered specifically for complex multi-agent applications. Relea...
What OpenClaw Reveals About the Next Phase of AI Agents
In November 2025, Austrian developer Peter Steinberger published a weekend project called Clawdbot. You could text it on Telegram or WhatsApp, and it would do things for you: manage your calendar, triage your email, run scripts, and even browse the web. By late January 2026, it had exploded. It gain...
WordPress debuts a private workspace that runs in your browser via a new service, my.WordPress.net
WordPress’s new browser-based service lets users create private sites without hosting or signup, turning the platform into a personal workspace for writing, research, and AI tools.
New NVIDIA Nemotron 3 Super Delivers 5x Higher Throughput for Agentic AI
Launched today, NVIDIA Nemotron 3 Super is a 120‑billion‑parameter open model with 12 billion active parameters designed to run complex agentic AI systems at scale. Available now, the model combines advanced reasoning capabilities to efficiently complete tasks with high accuracy for autonomous agen...
Meta didn’t buy Moltbook for bots — it bought into the agentic web
Meta’s Moltbook acquisition may look odd at first, but the deal could signal how Meta sees AI agents shaping future advertising and commerce on an agentic web.
Meta’s Moltbook deal points to a future built around AI agents
Meta’s Moltbook acquisition may look odd at first, but the deal could signal how Meta sees AI agents shaping future advertising and commerce on an agentic web.
This article offers a thoughtful exploration of AI’s biggest blind spots—why we keep optimizing the wrong problems, how the “replacement fantasy” misguides innovation, and why the future of artificial intelligence depends on elevating human judgment, creativity, and wisdom.
Claroty Leads 2026 Gartner® Magic Quadrant™ for CPS Protection Platforms
Company Receives Distinction as a Leader in Report’s Second Edition Claroty, the cyber-physical systems (CPS) protection company, today announced it has been named a Leader in the 2026 Gartner® Magic Quadrant™ for CPS Protection Platforms. Claroty received a designation of a Leader in the report’s s...
MSPs drive 64% of Q4 global deals as Cynet enters 2026 with accelerating channel momentum Cynet, the unified, AI-powered cybersecurity platform empowering organizations to focus on what matters most, has announced record channel growth one year after formalizing its partner-first strategy under CEO ...
In this guide, you learn how to install and run PersonaPlex locally step by step, so you can experience real time, interruptible speech to speech AI directly on your own machine.
ConductorOne: 95% of Enterprises Now Run Autonomous AI Agents
Third annual Future of Identity Report finds enterprises rapidly operationalizing AI agents while governance gaps widen ConductorOne, the first AI-native identity platform, today released its third annual Future of Identity Report, a survey of 508 IT and security leaders at U.S. organizations with m...