AI/ML VentureBeat

Morgan Stanley cut its riskiest reconciliation job in half — by making its agents less autonomous

Morgan Stanley implemented a human-in-the-loop AI system called FIXR to automate P&L reconciliation by converting human decisions into repeatable rules.

Cybersecurity arXiv cs.AI

Capability Gates Are Not Authorization: Confused-Deputy Failures in LLM Agent Frameworks

Research highlighting security flaws in LLM agent frameworks where capability gating is mistaken for authorization, introducing 'ScopeGate' as a solution.

AI/ML arXiv cs.AI

SEATauBench: Adapting Tool-Agent-User Evaluation Into Low-Resource Southeast Asian Languages

Introduction of SEATauBench, an evaluation framework for measuring tool-agent capabilities in low-resource Southeast Asian languages.

AI/ML arXiv cs.AI

CCRC: A Change-Aware Captioning and Reasoning Chain for Image Change Captioning and Segmentation

Proposed CCRC framework for Image Change Captioning and Segmentation, decoupling semantic reasoning from spatial segmentation for better localization.

AI/ML Hacker News

TabFM: A zero-shot foundation model for tabular data

Announcement of TabFM, a foundation model designed specifically for zero-shot learning on tabular data.

AI/ML Hacker News

Leanstral 1.5

Release of Leanstral 1.5, likely an iteration of a model integrated with the Lean theorem prover.

Other Hacker News

Hatari – Online Atari ST/STE/TT/Falcon Emulator

Hatari is an online emulator for various Atari ST/STE/TT/Falcon systems.

Other Hacker News

Ask HN: Since when does Craigslist's front page have emojis?

A community discussion on Hacker News regarding the sudden appearance of emojis on the Craigslist front page.

AI/ML arXiv cs.AI

Closed-Form Steepest Descent Direction toward Flat Minima: Reducing Upper Bounds on the Loss Hessian Eigenspectrum in Neural Networks

Research proposing Hessian Spectral Range (HSR) Regularization to promote convergence to flat minima in three-layer neural networks using a closed-form gradient.

Cybersecurity arXiv cs.AI

Why Trust Your Agent? Empirical Security Gains from TRiSM-Guided Agentic Workflows in Healthcare

A study demonstrating that applying the TRiSM framework to agentic workflows in healthcare significantly reduces attack success rates and improves report accuracy.

AI/ML arXiv cs.AI

MACROCAST: A Vintage-Consistent Time Series Foundation Model for Real-Time Macroeconomic Forecasting

Introduction of MACROCAST, a time series foundation model for macroeconomic forecasting designed to eliminate temporal contamination and revision bias.

AI/ML arXiv cs.AI

Constrained Tabular Diffusion for Finance

Constrained Tabular Diffusion for Finance (CTDF) introduces feasibility operators to ensure synthetic financial data meets strict regulatory and economic constraints.

AI/ML arXiv cs.AI

Predicting Metastatic Risk from Primary Tissue Architecture via Distance-Aware Spatial Modeling

Introduction of DTMf-MIL, a spatial modeling method that uses signed distance functions to improve metastatic risk prediction from tissue histology.

AI/ML Hacker News

Meta's brain-scanning system reads sentences non-invasively, code open source

Meta has released an open-source brain-scanning system capable of non-invasively reading sentences.

Other Hacker News

Long Island's decommissioned nuclear power plant

An article discussing a decommissioned nuclear power plant on Long Island.

Other Hacker News

US Army Women Are More Likely to Be Killed by Army Men Than by War

A report on the violence rates against women within the US Army compared to wartime casualties.

Cybersecurity Hacker News

Understanding lattice risks: Many differences between marketing and reality

An analysis of the risks associated with lattice-based cryptography, contrasting marketing claims with technical reality.

Other Hacker News

Superpowers 6

Content related to 'Superpowers 6'.

Open Source TechCrunch

OpenClaw is finally available on Android and iOS

OpenClaw, a free open-source agentic program, is now available on Android and iOS.

Tech Business/VC The Verge

Amazon fined $2.25 million for failing to help identity theft victims

Amazon was fined $2.25 million by the FTC for failing to assist identity theft victims in retrieving fraudulent account information.