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    OpenAI and Microsoft researchers warn of AI 'doom loop' consuming the web▼‘Doom Loop’: OpenAI and Microsoft Admits LLMs Are Destroying the Web and Built on TheftMmastodonTechnologyAI854 d ago

    Researchers at OpenAI and Microsoft have published a paper describing a 'doom loop' in which large language models, trained on data scraped largely without consent from human creators, degrade the open web and eventually poison their own training data. The paper reportedly acknowledges that people will come to see the models' wholesale ingestion of creative work as an unprecedented act of theft, reigniting debate over copyright and the sustainability of generative AI.

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    A Hacker News post presents a project that trains a machine-learning model to detect AI-generated web content using only structural signals of pages, such as layout and markup patterns, rather than the text itself. The post links to an arXiv paper describing the approach. Commenters in the thread are discussing the method, its accuracy, and what it means for identifying machine-written material online, though details of the discussion are limited to the post itself.

  3. 3

    An arXiv paper titled 'Context Language Models' is drawing attention among developers and researchers. The paper is being circulated alongside only its title, so its exact contributions are not yet clear from the discussion itself. Commenters appear interested in how it relates to mainstream large language model architectures, and the paper's abstract page is the main reference point people are sharing.

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    A project called UniMate has been released as open-source Python code, described as one unified model capable of animating diverse skeleton types. The work is associated with SIGGRAPH Asia 2026, a leading computer graphics conference, indicating it is a newly accepted research contribution. It is drawing attention among developers and graphics researchers interested in character animation and motion generation tools.

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    Los Alamos bet on ENIAC for nuclear Monte Carlo simulations▼Los Alamos bets on ENIAC: Nuclear Monte Carlo simulations, 1947–1948 (2014) [pdf]YhnSportFootball5620 min ago

    A 2014 paper recounts how Los Alamos scientists used the ENIAC computer in 1947–1948 to run Monte Carlo simulations of nuclear processes. The work, tied to figures like Nicholas Metropolis and Stanislaw Ulam, is credited as an early landmark in scientific computing and probabilistic modeling. Readers are sharing and discussing the historical account of how modern computational physics got its start.

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    New arXiv paper introduces Context Language Models●Context Language Models https://arxiv.org/abs/2609.37725 # HackerNews # Tech # AIMmastodonTechnology31 d ago

    An academic paper titled 'Context Language Models' has been published on arXiv, a widely used open repository for research preprints. The paper is being shared and discussed on Hacker News, a forum popular among programmers and AI researchers, where it is drawing attention from the technology community. Details of the paper's content are not yet widely reported, and its reception among researchers remains to be seen.

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    Polyedergarten Showcases Intricate Paper Polyhedron Models●Polyedergarten: Garden of Paper Polyhedron ModelsYhn4721 h ago

    Polyedergarten, a German website, presents a large collection of handmade paper models of polyhedra, the three-dimensional geometric solids studied since antiquity. The site displays photographs and descriptions of these crafted mathematical shapes, drawing attention from geometry enthusiasts who appreciate the blend of mathematics and paper craft on display.

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    New method fixes GRPO credit assignment without per-step evaluation●Fixing GRPO's credit assignment problem without evaluating every stepYhn191 h ago

    A new arXiv paper proposes a way to fix the credit assignment problem in GRPO, the group relative policy optimization method used in reinforcement learning for large language models. The approach assigns credit to individual reasoning steps without evaluating every step explicitly, reducing computational cost. Discussion is circulating among AI researchers and engineers interested in RL training efficiency.

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    New 'Context Language Models' Research Paper Draws Attention●Context Language Models Article URL: https:// arxiv.org/abs/2609.37725 Comments URL: https:// news.ycombinator.com/item?MmastodonTechnologyCybersecurity110 h ago

    An arXiv paper introducing so-called context language models is circulating in tech circles after being shared on Hacker News. The paper describes a proposed approach in which models manage context differently from standard large language models, and early readers appear to be weighing in on its practical implications for AI and software security. Discussion is still in early stages with limited commentary so far.

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    Polyedergarten Showcases Garden of Paper Polyhedron Models▼Polyedergarten: Garden of Paper Polyhedron Models Article URL: https://www. polyedergarten.de/e_index.htm Comments URL:MmastodonBusinessStartups217 h ago

    Polyedergarten, a German website collecting photographs of hand-built paper polyhedron models, is drawing fresh attention online. The site documents geometric solids ranging from simple Platonic forms to elaborate stellated and compound shapes, built from paper and card. Geometry enthusiasts are sharing it as a charming, low-tech celebration of mathematical art and craftsmanship.

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    New paper targets GRPO credit assignment problem in AI training●Fixing GRPO's credit assignment problem without evaluating every step https://arxiv.org/abs/2609.36178 # HackerNews # TeMmastodonTechnology32 h ago

    A new paper on arXiv proposes a way to fix the credit assignment problem in GRPO, a reinforcement learning method widely used to fine-tune large language models. The approach addresses the limitation without having to evaluate every step of a model's output, which could make training more efficient. The paper is being discussed by developers and researchers following AI research news.

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    Los Alamos Bets on Eniac: Nuclear Monte Carlo Simulations, 1947–1948●Los Alamos Bets on Eniac: Nuclear Monte Carlo Simulations, 1947–1948 [pdf]YhnSportFootball91 d ago

    A newly circulated paper recounts how Los Alamos scientists turned to the Eniac in 1947–1948 to run some of the earliest Monte Carlo simulations, using the pioneering computer to model nuclear processes through random sampling. The episode is widely seen as a founding moment of computational science, showing how wartime computing hardware was repurposed for peacetime physics research and helped establish a technique now used across finance, engineering and beyond.

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    Rock Paper Shotgun rolls out September Supporter rewards●All the RPS Supporter rewards for September 2026: Model ships, maze cities, and the tyranny of content In case you misseMmastodonCultureGaming11 d ago

    Rock Paper Shotgun is offering its monthly set of exclusive rewards for Premium Supporters, this time featuring model ships and maze cities alongside a column reflecting on 'the tyranny of content'. One more exclusive post is still due before the month ends, rounding out the September package for paying readers of the games site.

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    The Financial Times argues that 'snoop-and-scoop' — the practice of monitoring others' research and rushing out competing AI-driven results first — now poses a genuine threat to science. In the AI age, large language models can mine public findings and generate rival papers within days, undermining the trust, sharing and credit on which open research depends, and potentially deterring scientists from publishing openly.

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