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When AI Meets Finance (StockAgent): Large Language Model-based Stock Trading in Simulated Real-world Environments

arXiv:2407.18957v5 Announce Type: replace-cross Abstract: Can AI Agents simulate real-world trading environments to investigate the impact of external factors on stock trading activities (e.g., macroe

safetyarxiv-cs-ai

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When CQs Go Wrong: Challenges in CQ Verification with OE-Assist

DGX agent

arXiv:2606.24619v1 Announce Type: new Abstract: Competency Questions (CQs) are the central component of CQ-verification, an established process in which an ontology is evaluated against a set of natur

safetyarxiv-cs-ai

24 Jun 2026

When Helpfulness Overrides Causal Caution: Context-Dependent Suppression and Recovery in LLMs

model-releasesarxiv-cs-ai

arXiv:2606.24370v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly integrated into decision-support roles in business and policy contexts. While prior benchmark studies have

When Preferences Fail to Become Incentives: A Utility-Behavior Gap in Large Language Models

arXiv:2606.22974v2 Announce Type: replace Abstract: Recent work on preference elicitation in large language models (LLMs) has demonstrated that, when given a series of choices between two outcomes, LL

safetyarxiv-cs-ai

When Retrieval Metrics Mislead: Measuring Policy Signal in Long-Horizon Tool-Use Agents

model-releasesarxiv-cs-ai

arXiv:2606.23937v1 Announce Type: cross Abstract: Exact-match retrieval recall is often used as a proxy for whether a retriever supplies useful policy context to a downstream decision model. We test t

When Top-1 Fails: Calibrating LoRA Monitors for Masked Diffusion LMs

model-releasesarxiv-cs-cl

arXiv:2606.24119v1 Announce Type: cross Abstract: Discrete diffusion language model (DLM) fine-tuning inherits inexpensive diagnostics from denoising-time confidence monitors, but their PEFT-training

Which Spaces can be Embedded in L_p-type Reproducing Kernel Banach Space? A Characterization via Metric Entropy

arXiv:2410.11116v4 Announce Type: replace-cross Abstract: In this paper, we establish a novel connection between the metric entropy growth and the embeddability of function spaces into reproducing ker

Why the Frontier Ecosystem must be Open — Matei Zaharia and Reynold Xin, Databricks

This article discusses why Databricks leaders argue that the frontier AI ecosystem should remain open rather than closed, likely covering topics such as open-source AI development, the benefits of col

agentslatent-space

Applications

WiFi-Based People Counting Using Beam-Steerable Antennas: A Test-bed Study

arXiv:2606.23710v1 Announce Type: cross Abstract: Ubiquitous perception through RF signals is a pivotal opportunity for future technology: it enables personalized services such as smart living, remote

applicationsarxiv-cs-lg

Wordle 1,830 3/6 ⬛⬛⬛🟩⬛ ⬛⬛⬛⬛⬛ 🟩🟩🟩🟩🟩

model-releasesanthropic--x

This post documents a Wordle game result where the player solved puzzle #1,830 in 3 attempts, with the final answer being a five-letter word where the 4th and 5th letters were guessed correctly in ear

Workflow: https://github.com/Comfy-Org/workflow_templates/blob/main/templates/api_seedance2_0_r2v.json

This workflow template demonstrates how to use the Seedance 2.0 R2V (Rank-to-Video) model within ComfyUI, likely enabling users to generate or process video content based on seed values and ranking pa

local-aicomfyui--x

World Models in Pieces: Structural Certification for General Agents

arXiv:2606.24842v1 Announce Type: new Abstract: In the big-world regime, agents cannot be universally capable and their ability is inevitably specialized across a world model in pieces. Consequently,

local-aiarxiv-cs-ai

World Value Models for Robotic Manipulation

model-releasesarxiv-cs-ro

arXiv:2606.24742v1 Announce Type: new Abstract: Generalist value models play a pivotal role in scaling robotic policy learning from large-scale, mixed-quality data. Mathematically, accurate value esti

Wow even @MicahLasher thinks the OpenAI-Andreessen-Palantir money spent to oppose @AlexBores backfired --

Wow even @MicahLasher thinks the OpenAI-Andreessen-Palantir money spent to oppose @AlexBores backfired -- NY-12 retrospective in the NYT from Teddy Schleifer. Hard to imagine this was the headline tha

safetygary-marcus--x

XCures, which uses AI to streamline patient data and medical records, raised a 46M Series B at a 127M post-money valuation, bringing its total funding to $76M (Mary Ann Azevedo/Crunchbase News)

Mary Ann Azevedo / Crunchbase News: XCures, which uses AI to streamline patient data and medical records, raised a 46M Series B at a 127M post-money valuation, bringing its total funding to 76M — XCur

industrytechmeme

You can now delegate tasks to Cursor directly from Notion. It's built on the Cursor SDK, so every cloud agent runs on the same models, harne…

You can now delegate tasks to Cursor directly from Notion. It's built on the Cursor SDK, so every cloud agent runs on the same models, harness, and runtime that power Cursor. @Cursor on any spec or a

agentscursor--x

You Don't Need to Run Every Eval

model-releasesarxiv-cs-lg

arXiv:2606.24020v1 Announce Type: new Abstract: A modern model release reports scores on 40+ benchmarks and the same evaluations were run many more times before it: to track training progress, compare

Your Hermes Agent can now adopt an animated pet: a small sprite that reacts to what the agent is doing (idle, running a tool, thinking, wait…

Your Hermes Agent can now adopt an animated pet: a small sprite that reacts to what the agent is doing (idle, running a tool, thinking, waiting, finishing, failing) in the GUI or TUI. You have nearly

agentsnous-research--x

Tutorials

Zero-Day Exploitation of Vulnerability (CVE-2026-20245) in Cisco Catalyst SD-WAN Manager

Written by: Chester Sng, Pete Boonyakarn, Logeswaran Nadarajan Introduction In early 2026, Mandiant identified a threat actor targeting SD-WAN infrastructure at a service provider. After gaining initi

tutorialsgoogle-cloud-ai

Zero-Shot Neural Priors for Generalizable Cross-Subject and Cross-Task EEG Decoding

arXiv:2606.23706v1 Announce Type: cross Abstract: The development of generalizable electroencephalography (EEG) decoding models is essential for robust brain-computer interfaces (BCI) and objective ne

Zero-Shot Test-Time Canonicalization using Out-of-Distribution Scoring

arXiv:2606.24178v1 Announce Type: cross Abstract: Pretrained vision models often misclassify inputs that are rotated, scaled, or sheared, even though these affine transformations leave the object clas

researcharxiv-cs-ai

ZONOS2 Technical Report

model-releasesarxiv-cs-ai

arXiv:2606.24320v1 Announce Type: cross Abstract: We present ZONOS2 8B, our latest TTS model, which achieves state-of-the-art naturalness, prosody, and voice cloning fidelity. We improve upon Zonos-v0

2D Versus 3D Diffusion for In Silico Training of Interventional X-ray AI Models

arXiv:2606.21414v1 Announce Type: cross Abstract: The ability to synthesize realistic X-ray images has catalyzed the development of AI models for X-ray image-guided procedures, which otherwise suffer

researcharxiv-cs-cv

360Anything: Geometry-Free Lifting of Images and Videos to 360{eg}

arXiv:2601.16192v2 Announce Type: replace Abstract: Lifting perspective images and videos to 360{eg} panoramas enables immersive 3D world generation. Existing approaches often rely on explicit geometr

safetyarxiv-cs-cv

3D Vessel Reconstruction from Sparse-View Dynamic DSA Images via Vessel Probability Guided Attenuation Learning

arXiv:2405.10705v3 Announce Type: replace-cross Abstract: Digital Subtraction Angiography (DSA) is one of the gold standards for vascular disease diagnosis. With the help of a contrast agent, time-res

agentsarxiv-cs-cv

460 criminal charges 6.5B intended loss, 1.4B actual loss $127M seized assets Great work by @SecKennedy, @DAGToddBlanche, @FBIDirectorKash…

460 criminal charges 6.5B intended loss, 1.4B actual loss $127M seized assets Great work by @SecKennedy, @DAGToddBlanche, @FBIDirectorKash, & @DrOzCMS on today’s fraud takedown. If you’re committing f

industryelon-musk--x

4DVLT: Dynamic Scene Understanding with Worldline-Centered Vision-Language Tracking

model-releasesarxiv-cs-cv

arXiv:2606.22631v1 Announce Type: new Abstract: 4D dynamic scene understanding requires grounding language to a persistent worldline that binds identity, metric 3D motion, and synchronized multi-view

9 ways AI is reshaping enterprise operations: Key insights from AWS Summit NYC

model-releasessiliconangle

The conversations at last week’s AWS Summit NYC 2026 showed that AI evolution is entering a new phase. From physical robots tackling labor shortages to agentic systems reshaping enterprise operations,

A Biden-appointed activist judge, Sparkle Sooknanan, just blocked a commonsense tool to keep non-citizens from voting. The SAVE system simpl…

A Biden-appointed activist judge, Sparkle Sooknanan, just blocked a commonsense tool to keep non-citizens from voting. The SAVE system simply encourages states to work with DHS to check their voter ro

industryelon-musk--x

A breath test could diagnose pneumonia in minutes

With a test being developed at MIT, diagnosing pneumonia and other lung conditions could someday be as easy as breathing into a tube. The test, dubbed PlasmoSniff, is a portable, chip-scale sensor tha

researchmit-tech-review

A case study in why organizations should both incentivized their employees to explore AI uses that help them & have a Lab of dedicated AI bu…

model-releasesethan-mollick--x

A case study in why organizations should both incentivized their employees to explore AI uses that help them & have a Lab of dedicated AI builders Here, Cornell's finance & AI teams created a /treasur

A Causal DAG Prior for Synthetic Time-Series Classification Datasets

arXiv:2606.21776v1 Announce Type: new Abstract: A Prior-data fitted Network learns the posterior predictive induced by its training prior; bringing this paradigm to multivariate time-series classifica

Applications

A Completion-Aware Framework for Impactful Counterfactual Explainability in Graph Neural Networks

arXiv:2606.22033v1 Announce Type: new Abstract: In this study, we propose a novel pipeline for generic, model-agnostic, local-level counterfactual explainability in graph neural networks (GNNs). Altho

applicationsarxiv-cs-lg

A Comprehensive Study on Visual Token Redundancy for Discrete Diffusion-based Multimodal Large Language Models

arXiv:2511.15098v2 Announce Type: replace Abstract: Discrete diffusion-based multimodal large language models (dMLLMs) have emerged as a promising alternative to autoregressive MLLMs thanks to their a

researcharxiv-cs-cv

A Controlled Study of CLIP-Based Body-Scene Fusion for Emotion Recognition in Context

arXiv:2606.22072v1 Announce Type: new Abstract: Apparent emotion in natural images is often not visible from the face alone. The face may be small, hidden, or neutral, while posture and scene context

safetyarxiv-cs-cv

A curious crossover: The Toyota C-HR review

The 2026 Toyota C-HR is a fully electric compact SUV constructed on Toyota's dedicated e-TNGA battery-electric platform, positioned as the brand's most style-forward and performance-leaning EV. It off

industryars-technica

Hardware

A Differentiable Atari VCS:A Complex, Fully Known Ground Truth for Explainable AI

arXiv:2606.22447v1 Announce Type: cross Abstract: Explanation requires ground truth: to verify an account of a system we must know its inner functioning-just what is missing where explainable AI (XAI)

hardwarearxiv-cs-lg

A Digital Twin Framework for Traffic-Aware UAV Pavement Monitoring without Lane Closure

arXiv:2606.20742v1 Announce Type: new Abstract: UAV-based pavement inspection can reduce the cost and risk of road-surface monitoring, but real-world deployment remains difficult when traffic, pedestr

agentsarxiv-cs-ro

A DVDrive Approach for doScenes Instructed Driving Challenge

arXiv:2606.21623v1 Announce Type: new Abstract: Instruction-conditioned trajectory prediction is an emerging problem in autonomous driving, where a model predicts the future ego trajectory not only fr

local-aiarxiv-cs-cv

A-Evolve-Training: Autonomous Post-Training of a 30B Model

model-releasesarxiv-cs-lg

arXiv:2606.20657v1 Announce Type: cross Abstract: Post-training a frontier model is normally weeks of human work: proposing data and recipe changes, launching runs, reading evals, deciding what to kee

A Framework for Directed Acyclic Hypergraph Learning

arXiv:2606.21668v1 Announce Type: new Abstract: Continuous optimization methods for learning Directed Acyclic Graphs (DAGs) operate on weighted adjacency matrices and are therefore limited to pairwise

A Gated Graph Neural Network Approach to Fast-Convergent Dynamic Average Estimation

arXiv:2606.20955v1 Announce Type: new Abstract: Dynamic average estimation is a critical problem in multi-agent systems, enabling agents to collaboratively estimate time-varying signals using only loc

local-aiarxiv-cs-lg

A Generalization Bound for Nearly-Linear Networks

arXiv:2407.06765v2 Announce Type: replace Abstract: We consider nonlinear networks as perturbations of linear ones. Based on this approach, we present novel generalization bounds that become non-vacuo

A Generalized Formalism of Auto-Regressive Decoding for Speech Processing

arXiv:2606.20714v1 Announce Type: cross Abstract: In speech processing, most state-of-the-art sequence prediction models rely on auto-regressive (AR) strategies to generate output sequences based on t

A Generative Model for Closed-Loop Microsimulation of Signalized Intersections

arXiv:2606.23588v1 Announce Type: new Abstract: Traffic microsimulators rely on hand-crafted behavior models that reproduce aggregate flow but miss the heterogeneous interactions between vehicles at s

safetyarxiv-cs-ro

A geometric and deep learning reproducible pipeline for monitoring floating anthropogenic debris in urban rivers using in situ cameras

arXiv:2510.23798v2 Announce Type: cross Abstract: The proliferation of floating anthropogenic debris in rivers has emerged as a pressing environmental concern, exerting a detrimental influence on biod

A Geometric Task-Space Port-Hamiltonian Formulation for Redundant Manipulators

arXiv:2512.14349v2 Announce Type: replace-cross Abstract: We present a novel geometric port-Hamiltonian formulation of redundant manipulators performing a differential kinematic task eta=J(q)ot{q}, wh

researcharxiv-cs-ro

A Human-Inspired Thumb-Index Robotic Hand with Strain Gauges Embedded in Soft Joints

arXiv:2606.21245v1 Announce Type: new Abstract: Human hand grasp adaptation depends mainly on the synergy between physical structure and biological feedback. Inspired by this biomechanical principle,

researcharxiv-cs-ro