AI/ML arXiv cs.AI

To Use AI as Dice of Possibilities with Timing Computation

A new verb-based AI paradigm utilizing 'timing computation' to discover patient trajectories in healthcare data without prior domain knowledge.

AI/ML arXiv cs.AI

Evaluating Deep Research Agents on Expert Consulting Work: A Benchmark with Verifiers, Rubrics, and Cognitive Traps

A benchmark evaluating Deep Research Agents (DRAs) on expert consulting work, finding that current frontier agents (o3, Gemini, Claude) consistently fail to meet expert standards.

Other Hacker News

We Can Still Stop California's 3D Printer Surveillance Scheme

Discussion regarding efforts to stop a California state surveillance scheme involving 3D printers.

Other Hacker News

The National Parks Were Reportedly Told to Stay Silent on Deaths

Reports suggest National Parks were instructed to remain silent regarding deaths occurring within their boundaries.

Software Engineering Hacker News

Reed-Solomon for OCR: error correction for messy printed codes

Exploration of using Reed-Solomon error correction to improve the accuracy of OCR for messy printed codes.

Tech Business/VC TechCrunch

Corgi, the buzzy Y Combinator-backed insurance tech startup, says it didn’t steal an open source product

YC-backed startup Corgi denies allegations of stealing an open source product from Papermark.

Other The Verge

After covering Prime Day for 36 hours over four days, this is the one thing I bought

A product recommendation for Vampliers, a specialized tool for removing stripped screws.

Other Ars Technica

Doctors suspected man had brain cancer. He actually had worms.

A medical case where a patient suspected of having brain cancer actually had parasitic worms.

Other Ars Technica

Streaming services’ obnoxiously loud ads become illegal on July 1 in California

California and Illinois have passed laws making obnoxiously loud advertisements on streaming services illegal.

AI/ML arXiv cs.AI

Understanding Domain-Aware Distribution Alignment in Budgeted Entity Matching

Research paper investigating the BEACON framework for low-resource, domain-aware Entity Matching (EM) in data integration.

AI/ML arXiv cs.AI

Error-Conditioned Neural Solvers

Introduction of Error-Conditioned Neural Solvers (ENS) to improve the accuracy and stability of PDE solving neural networks.

AI/ML arXiv cs.AI

Autoregressive Boltzmann Generators

Proposal of Autoregressive Boltzmann Generators (ArBG) for more efficient sampling of molecular systems at equilibrium.

Software Engineering Hacker News

A C++ implementation of a fast hash map and hash set using hopscotch hashing

A technical implementation of a fast hash map and hash set in C++ utilizing the hopscotch hashing algorithm.

AI/ML Hacker News

The gap between open weights LLMs and closed source LLMs

A discussion exploring the performance and accessibility gap between open-weights and closed-source Large Language Models.

Other Hacker News

PlayStation Is Deleting 551 Movies from Customers' Accounts

PlayStation is removing 551 movies from user accounts, highlighting issues with digital ownership.

AI/ML Hacker News

Show HN: Autofit2 – End-to-end pipeline for multilingual text classification

Introduction of Autofit2, an end-to-end pipeline designed for multilingual text classification tasks.

Other The Verge

Our favorite Prime Day gadgets under $100 you don’t need but will really want

A curated list of affordable gadgets and smart home accessories available during Amazon Prime Day.

AI/ML arXiv cs.AI

Advancing Omnimodal Embodied Agents from Isolated Skills to Everyday Physical Autonomy

The OmniAct framework improves embodied agents' autonomy by integrating a multimodal semantic planner and hierarchical memory.

AI/ML arXiv cs.AI

E-TTS: A New Embodied Test-Time Scaling Framework for Robotic Manipulation

E-TTS is a new test-time scaling framework for robotic manipulation that uses vision-language verifiers to refine actions.

AI/ML arXiv cs.AI

AI Healthcare Chatbots as Information Infrastructure: A Large-Scale Study of User-Reported Breakdowns

A study of 15,000 user reviews revealing common failures in AI healthcare chatbots, specifically in privacy, trust, and reliability.