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Boeing 787 Dreamliner Loses Door at Remote Pacific Airport, Puzzling Engineers

A Boeing 787 Dreamliner suffered an unusual incident at one of the most remote airports in the world when one of its doors detached from the fuselage during ground handling. The event has left engineers searching for answers about how it happened. The aircraft was on the ground at the Mataveri Airport on Easter Island, located 3,759 km off the coast of South America.

Hacker News 4d ago

AI Has Ruined the Job Market

A few years ago, Ken Schumacher was working for a technology company. Part of his job involved assessing potential hires: hopping on a Zoom call, giving an applicant an engineering test (kind of like a crossword puzzle with code instead of words), and going on “mute for an hour” as the applicant struggled through it. Except many of the candidates weren’t struggling.

The Atlantic 7d ago

DeliChess: A Multi-party Dialogue Dataset for Deliberation in Chess Puzzle Solving

Announce Type: new Abstract: Multi-party dialogue is a critical setting for studying collaborative reasoning and decision-making, yet existing datasets rarely focus on structured, in-depth complex reasoning tasks. We introduce DeliChess, a novel dataset of group deliberation dialogues in which participants collaboratively solve multiple-choice chess puzzles. Each group first completes the puzzle individually, then engages in a multi-party discussion before submitting a revised collective answer.

arXiv CS 6d ago

AutoLab: Can Frontier Models Solve Long-Horizon Auto Research and Engineering Tasks?

arXiv:2606.05080v1 Announce Type: new Abstract: Scientific and engineering progress is fundamentally a long-horizon iterative process: proposing changes, running experiments, measuring outcomes, and continuously refining artifacts. Yet existing benchmarks for frontier models primarily evaluate either single-turn responses or short-horizon agent trajectories, failing to capture the challenges of sustained iterative improvement over extended time horizons. To address this gap, we introduce...

arXiv CS 6d ago

The Frame Problem

The Frame Problem To most AI researchers, the frame problem is the challenge of representing the effects of action in logic without having to represent explicitly a large number of intuitively obvious non-effects. But to many philosophers, the AI researchers' frame problem is suggestive of wider epistemological issues. Is it possible, in principle, to limit the scope of the reasoning required to derive the consequences of an action?

Hacker News 8d ago

AI Is Slowing Down

If you liked this piece, you should subscribe to my premium newsletter. It’s $70 a year, or $7 a month, and in return you get a weekly newsletter that’s usually anywhere from 5,000 to 18,000 words, including vast, detailed analyses of NVIDIA, Anthropic and OpenAI’s finances, and the AI bubble writ large (updated to version 3.0 last week). My Hater's Guides To the SaaSpocalypse, Private Credit and Private Equity are essential to understanding our current financial system, and my guide to how...

Hacker News 2d ago

GoGoGrandparent (YC S16) is hiring Back end Engineers

A concierge service for seniors’ rides, meals, meds, home and more. About the Company GoGoGrandparent’s (GoGo’s) mission is to help older adults live independently in their home for as long as possible. We do that by tailoring existing on demand apps to the needs of people living with mobility, visual, cognitive and dexterity impairments and letting older adults use them by making a phone call.

Hacker News 1d ago

This strange new phase of matter could transform quantum technology

This strange new phase of matter could transform quantum technology - Date: - May 30, 2026 - Source: - Brown University - Summary: - By stacking custom-designed silver nanoparticles like nanoscale LEGO bricks, scientists stabilized a mysterious crystal phase that had never been observed before. The material not only solves a longstanding puzzle in materials science but also exhibits promising quantum properties at room temperature.

Science Daily 11d ago

Human-Like Neural Nets by Catapulting

Human-like Neural Nets by Catapulting Speculative proposal to create artificial neural nets with human-like performance by high-learning-rate/regularization training of overparameterized NNs to trigger catapulting/grokking. Over-parameterization as a route to true generalization would resolve many outstanding mysteries of artificial versus natural intelligence. There are many mysteries about deep learning and human intelligence, but we could describe the biggest anomaly this way: why are...

Hacker News 3d ago