AI/ML arXiv cs.AI

The Price of Reasoning: Cost-Quality Tradeoffs in Reinforcement Learning for Neural Machine Translation

A study on the cost-quality tradeoffs of using reasoning traces in Reinforcement Learning for Neural Machine Translation, finding that inference-time reasoning improves quality.

AI/ML arXiv cs.AI

Inference-Time Steering for Cross-Lingual Factual Consistency in LLMs

Research into mitigating cross-lingual factual inconsistency in LLMs through inference-time steering, finding persona prompting to be the most effective strategy.

AI/ML arXiv cs.AI

Prompt Design at Scale: How Format, Instruction Count, and Context Length Shape Instruction Adherence and Hallucination in Large Language Models

An empirical study on how prompt format, instruction count, and context length affect LLM instruction adherence and hallucinations, releasing VeyraBench for evaluation.

Other Hacker News

John C. Dvorak has died

News of the passing of tech columnist John C. Dvorak.

Software Engineering Hacker News

I Inspected My Take-Home Interview Project. It Was a Whole Operation

A developer describes discovering extensive tracking and monitoring in a take-home interview project.

Software Engineering Hacker News

Taking OCaml and Eio for a Spin

A developer's exploration and evaluation of using OCaml and the Eio library for concurrent programming.

Tech Business/VC TechCrunch

Treasury threatens sanctions after White House claims Moonshot distilled Anthropic’s Fable

The U.S. Treasury warns of potential sanctions against Chinese AI firms following allegations that Moonshot distilled Anthropic's Fable model.

Tech Business/VC TechCrunch

Tesla spending skyrockets as Cybercab, Semi, Megapack production timeline slips

Tesla reports rising operating expenses and slipping production timelines for its Cybercab and Semi projects.

Tech Business/VC TechCrunch

Social media addiction lawsuit against Meta is dropped

A lawsuit alleging social media addiction against Meta has been voluntarily dismissed by the plaintiff.

AI/ML arXiv cs.AI

Free energy landscape of Dense Associative Memory

Research providing a general expression for the free energy functional of dense associative memories using large deviations theory.

AI/ML arXiv cs.AI

MIRA-Ev:A Benchmark for Granular Evidence Detection and Relational Reasoning in Clinical Exams

Introduction of MIRA-Ev, a benchmark for granular evidence detection and relational reasoning in clinical examinations.

Software Engineering arXiv cs.AI

Assessment in Team Problem-Solving Exercises in Computing Education

A study on assessing team problem-solving in computing education using clustering and LLMs, integrated into the INJECT platform.

Hardware/Chips arXiv cs.AI

Computing on the Fly: Navigating a Vision for the Future of Drone Computing

A vision report outlining twelve technical challenges for the future of large-scale drone computing and infrastructure.

Cybersecurity Hacker News

ICE shared Medicaid data it wasn't supposed to have with Palantir

Reports on the unauthorized sharing of Medicaid data by ICE with Palantir.

Tech Business/VC The Verge

Tesla’s revenues are bouncing back after a dismal two years

Tesla reports a recovery in revenues and vehicle deliveries for Q2 2026, aiming to pivot toward AI and robotics.

AI/ML arXiv cs.AI

Code Division Modulation Layers Against Forgetting and Inference in Continual Gait Identification

Research on Code Division Modulation Layers (CDML) to prevent forgetting and membership inference attacks in continual gait identification systems.

AI/ML arXiv cs.AI

Parallel Noising in Neural Markov Logic Networks

Proposes 'parallel noising' to enhance Neural Markov Logic Networks (NMLNs) for better graph generation performance on larger structures.

AI/ML arXiv cs.AI

MIRAGE: Multi-scale Lesion-Informed Representation with Auxiliary Guidance for MRI Contrast Enhancement

Introduces MIRAGE, a residual 2D U-Net for MRI contrast enhancement using lesion-aware supervision to improve tumor localization.

AI/ML arXiv cs.AI

Incomplete Observations Boost Evolutionary Performance in Ocean Modeling

A generative state-space model using the EM algorithm to learn ocean dynamics directly from sparse and noisy real-world observations.

AI/ML arXiv cs.AI

Breaking the Homogeneity Assumption: Specialized Multi-Generator Adversarial Learning for Rare Failure Detection in Predictive Maintenance

Proposes a specialized multi-generator GAN architecture to better detect rare failure modes in imbalanced industrial predictive maintenance datasets.