Hacker Papers

1. 1051
   

   What Algorithms can Transformers Learn? A Study in Length Generalization

   Hattie Zhou et al. · 2023

   Hacker News threads

   • Feb 2024What Algorithms Can Transformers Learn? A Study in Length Generalization
   • Feb 2024Every model learned by gradient descent is approximately a kernel machine (2020)
   • Apr 2024What can LLMs never do?
   • Dec 2024Byte Latent Transformer: Patches Scale Better Than Tokens

   arXiv ↗
2. 1052
   

   A Taxonomy of Omnicidal Futures Involving Artificial Intelligence

   Andrew Critch, Jacob Tsimerman · 2025

   Hacker News threads

   • Jul 2026A Taxonomy of Omnicidal Futures Involving Artificial Intelligence
   • Jul 2026A Taxonomy of Omnicidal Futures Involving Artificial Intelligence (2025)
   • Jul 2026Fields Medals 2026
   • Sep 2026The Last 24 Hours Are the Opening Scene in a Horror Movie
   • Oct 2026LeCun has "zero concerns" about AI wiping out humanity, recent "rogue" incidents

   arXiv ↗
3. 1053
   

   Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

   Yuntao Bai et al. · 2022

   Hacker News threads

   • Aug 2023Training a Helpful and Harmless Assistant with Reinforcement Learning from Human
   • Mar 2023Show HN: ChatLLaMA – A ChatGPT style chatbot for Facebook's LLaMA
   • Aug 2023The Poison of (LLMs) Alignment
   • Sep 2023Meta wants its open source AI model to be as capable as OpenAI’s best model

   arXiv ↗
4. 1054
   

   Network-Centric Quantum Communications with Application to Critical Infrastructure Protection

   Richard J. Hughes et al. · 2013

   Hacker News threads

   • May 2013Government Lab Reveals It Has Operated Quantum Internet For Over Two Years
   • Jun 2013Technical Implications of the NSA's Prism Program
   • Aug 2013Declassified: The US Government’s Quantum Internet

   arXiv ↗
5. 1055
   

   Hamiltonian Neural Networks

   Sam Greydanus et al. · 2019

   Hacker News threads

   • Feb 2020Sometimes, requiring explanability is counterproductive
   • Jun 2020Teaching physics to neural networks removes 'chaos blindness'
   • Jul 2020AI in physics: are we facing a scientific revolution?

   arXiv ↗
6. 1056
   

   LowKey: Leveraging Adversarial Attacks to Protect Social Media Users from Facial Recognition

   Valeriia Cherepanova et al. · 2021

   Hacker News threads

   • Jan 2021LowKey web app tweaks images to thwart facial recognition systems
   • Feb 2021Adversarial.io – Fighting mass image recognition
   • Apr 2021Ask HN: Amyone successfully verify fawkes claims of protection against AI?

   arXiv ↗
7. 1057
   

   Addressing "Documentation Debt" in Machine Learning Research: A Retrospective Datasheet for BookCorpus

   Jack Bandy, Nicholas Vincent · 2021

   Hacker News threads

   • Feb 2023Ask HN: Does Google use the text inside gdocs and Gmail for training AI models?
   • Jul 2023The Pile: a dataset for language modeling [pdf]
   • Sep 2023

   arXiv ↗
8. 1058
   

   Deep Symbolic Regression for Recurrent Sequences

   Stéphane d'Ascoli et al. · 2022

   Hacker News threads

   • Jan 2022Deep symbolic regression for recurrent sequences
   • Feb 2022I asked GPT-NeoX-20B a hundred arithmetic questions
   • Mar 2022GPT-3 can run code

   arXiv ↗
9. 1059
   

   Tracr: Compiled Transformers as a Laboratory for Interpretability

   David Lindner et al. · 2023

   Hacker News threads

   • Feb 2023Why Can't Little Chatty Do Math?
   • Sep 2023I made a transformer by hand (no training)
   • Dec 2023Phi-2: The surprising power of small language models

   arXiv ↗
10. 1060
    

    Emergent Linear Representations in World Models of Self-Supervised Sequence Models

    Neel Nanda et al. · 2023

    Hacker News threads

    • Jul 2024Large models of what? Mistaking engineering achievements for linguistic agency
    • Nov 2024Evaluating the world model implicit in a generative model
    • Dec 2024Alignment faking in large language models

    arXiv ↗

Data from the Hacker News archive (ODC-By), arXiv and OpenAlex. Not affiliated with Hacker News or Y Combinator.