hngrok

GPTZero finds 100 new hallucinations in NeurIPS 2025 accepted papers from gptzero.me
564 by segmenta 6h ago | | |

Article: 1 hr 6 min

The article discusses various papers accepted at NeurIPS 2025 that contain fabricated citations, often referred to as 'hallucinations', which are AI-generated fake sources. The text provides details on each paper's title, authors, and the discrepancies found in their references.

AI-generated fake sources in academic papers could undermine the credibility of research and lead to ethical concerns regarding transparency and integrity in academia.

4841 out of 5290 NeurIPS 2025 papers contain AI authorship and hundreds of hallucinations
GPTZero's Hallucination Check tool is used to verify citations for errors, including common issues like dead links or partial titles

Quality:
The article provides factual information without expressing personal opinions or biases.

Discussion (287): 47 min

The comment thread discusses concerns over the impact of AI-generated papers on scientific integrity, reproducibility, and academic practices. Participants debate whether disclosure of AI use should be mandatory in publications, propose reforms to incentive systems, and highlight issues with peer review and citation practices. The conversation is characterized by a high level of debate intensity but moderate agreement among participants.

AI-generated papers compromise scientific integrity and reproducibility
The current incentive system in academia needs reform

Counterarguments:

AI hallucinations may be a minor issue compared to other forms of fraud
The system already has flaws that allow for misconduct beyond AI use
Requiring disclosure could stigmatize researchers who are not at fault

AI AI (multiple)

Show HN: isometric.nyc – giant isometric pixel art map of NYC from cannoneyed.com
369 by cannoneyed 4h ago | | |

Article:

The article introduces 'isometric.nyc', a website that showcases giant isometric pixel art mapping New York City.

Website showcases detailed pixel art map of NYC.
Visually appealing representation of the city's layout.

Discussion (105): 4 min

The comment thread discusses a no-code project that uses AI for creating an isometric pixel art map of NYC, with various opinions on its value and impact. There are concerns about the scale of AI's influence and ethical considerations, as well as appreciation for the innovative use of technology in creative fields.

The conclusions about 'unlocking scale' and commodity content having zero value

Counterarguments:

Maybe it shouldn't exist then at all.

Art

Qwen3-TTS family is now open sourced: Voice design, clone, and generation from qwen.ai
355 by Palmik 7h ago | | |

Article:

The Qwen3-TTS family has been released under open-source licensing, enabling users to explore voice design, clone voices, and generate text-to-speech content.

The open-source release of Qwen3-TTS could democratize access to advanced text-to-speech technology, fostering innovation and potentially improving accessibility for various applications.

Qwen3-TTS family now open-sourced
Facilitates voice design and cloning
Enables text-to-speech content creation

Discussion (104): 7 min

The comment thread discusses the AI model's voice cloning capabilities, with positive feedback on its applications and potential for various uses. Concerns are raised about the quality of training data used, particularly regarding anime voices or tween fiction podcasts. Issues with local machine setup and performance of Qwen models are also mentioned. The political stance and leadership of the company behind the AI model receive criticism.

Counterarguments:

Issues with local machine setup and performance of Qwen models
Differences in opinions about the company's political stance

Software Development Open Source, Artificial Intelligence

'Askers' vs. 'Guessers' (2010) from theatlantic.com
37 by BoorishBears 9h ago | |

Discussion (20):

Comment analysis in progress.

CSS Optical Illusions from alvaromontoro.com
93 by ulrischa 3h ago | |

Article: 28 min

This article showcases a collection of CSS optical illusions, demonstrating how visual elements can create the illusion of movement or change through carefully crafted animations and gradients. The author provides interactive demos for each illusion, allowing readers to explore and understand the underlying principles.

This collection of optical illusions can enhance user engagement on websites by providing visually appealing and interactive content that showcases the capabilities of web development technologies, potentially leading to increased interest in learning about visual effects.

Collection of optical illusions created with CSS
Exploration of visual perception principles

Quality:
The article provides clear explanations and interactive elements, making it a valuable resource for learning about optical illusions in CSS.

Discussion (10):

Comment analysis in progress.

Creative Web Development, Digital Arts

Compiling Scheme to WebAssembly from eli.thegreenplace.net
23 by chmaynard 4d ago | |

Discussion (4):

More comments needed for analysis.

Why does SSH send 100 packets per keystroke? from eieio.games
143 by eieio 2h ago | |

Discussion (92):

Comment analysis in progress.

Recent discoveries on the acquisition of the highest levels of human performance from science.org
54 by colincooke 3h ago | |

Discussion (22):

Comment analysis in progress.

Show HN: CLI for working with Apple Core ML models from github.com/schappim
10 by schappim 1h ago | |

Discussion (0):

More comments needed for analysis.

Launch HN: Constellation Space (YC W26) – AI for satellite mission assurance from constellation-io.com
24 by kmajid 4h ago | |

Article:

Constellation Space, a startup from YC W26, introduces AI-driven satellite mission assurance technology that processes real-time telemetry for predictive maintenance and autonomous action.

AI in satellite operations could lead to more reliable and efficient space missions, reducing the risk of failures and improving overall mission success rates.

100,000+ messages per second processed in real-time
90%+ accuracy in identifying failure patterns
2-second autonomous handoffs and re-routing

Discussion (5): 2 min

The team introduces an AI system designed to predict satellite link failures before they occur, addressing a critical issue in satellite operations by dealing with dozens of interacting variables. The system uses real-time processing and physics-based models combined with ML for high accuracy predictions, while employing federated learning to protect sensitive data across different operators' security boundaries.

Counterarguments:

Prediction accuracy degrades beyond 5 minutes
Lack of labeled failure data for rare edge cases
Careful orchestration required for federated learning across different operators' security boundaries

Aerospace Satellite Technology, Artificial Intelligence