Tag: authors

  • Hacker News: Diffusion models are evolutionary algorithms

    Source URL: https://gonzoml.substack.com/p/diffusion-models-are-evolutionary Source: Hacker News Title: Diffusion models are evolutionary algorithms Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses a groundbreaking paper linking diffusion models and evolutionary algorithms, positing that both processes create novelty and generalization in data. This revelation is crucial for AI professionals, particularly in generative AI and…

  • Hacker News: OpenCoder: Open-Source LLM for Coding

    Source URL: https://arxiv.org/abs/2411.04905 Source: Hacker News Title: OpenCoder: Open-Source LLM for Coding Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses “OpenCoder,” a large language model (LLM) specifically designed for code generation and related tasks. It highlights the importance of transparency in AI research by providing not only the model but also…

  • The Register: Judge tosses publishers’ copyright suit against OpenAI

    Source URL: https://www.theregister.com/2024/11/08/openai_copyright_suit_dismissed/ Source: The Register Title: Judge tosses publishers’ copyright suit against OpenAI Feedly Summary: Raw Story and AltNet allowed to amend complaint A US judge has thrown out a case against ChatGPT developer OpenAI which alleged it unlawfully removed copyright management information (CMI) when building training sets for its chatbots.… AI Summary and…

  • Hacker News: Evaluating the World Model Implicit in a Generative Model

    Source URL: https://arxiv.org/abs/2406.03689 Source: Hacker News Title: Evaluating the World Model Implicit in a Generative Model Feedly Summary: Comments AI Summary and Description: Yes Summary: This paper delves into the evaluation of world models implicitly learned by generative models, particularly large language models (LLMs). It highlights the potential limitations and fragilities of these models in…

  • Hacker News: WebSockets cost us $1M on our AWS bill

    Source URL: https://www.recall.ai/post/how-websockets-cost-us-1m-on-our-aws-bill Source: Hacker News Title: WebSockets cost us $1M on our AWS bill Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text provides an in-depth analysis of optimizing inter-process communication (IPC) in a cloud computing environment, particularly within AWS, leading to significant cost reduction. It highlights the inefficiencies of using WebSockets…

  • Hacker News: An embarrassingly simple approach to recover unlearned knowledge for LLMs

    Source URL: https://arxiv.org/abs/2410.16454 Source: Hacker News Title: An embarrassingly simple approach to recover unlearned knowledge for LLMs Feedly Summary: Comments AI Summary and Description: Yes Summary: The text focuses on the challenge of “unlearning” in large language models (LLMs), specifically addressing the effectiveness of current unlearning methods in truly erasing unwanted knowledge. It highlights a…

  • Hacker News: The performance of hashing for similar function detection

    Source URL: https://edmcman.github.io/blog/2024-01-11–fuzzy-hashing-for-code-comparisons/ Source: Hacker News Title: The performance of hashing for similar function detection Feedly Summary: Comments AI Summary and Description: Yes Summary: The text delves deeply into malware reverse engineering and explores advanced hashing techniques like PIC hashing and fuzzy hashing. It highlights the significant challenges faced in identifying equivalent functions across different…

  • Hacker News: Internal representations of LLMs encode information about truthfulness

    Source URL: https://arxiv.org/abs/2410.02707 Source: Hacker News Title: Internal representations of LLMs encode information about truthfulness Feedly Summary: Comments AI Summary and Description: Yes Summary: The paper explores the issue of hallucinations in large language models (LLMs), revealing that these models possess internal representations that can provide valuable insights into the truthfulness of their outputs. This…

  • The Register: GenAI’s dirty secret: It’s set to create a mountainous increase in e-waste

    Source URL: https://www.theregister.com/2024/10/28/genai_dirty_secret/ Source: The Register Title: GenAI’s dirty secret: It’s set to create a mountainous increase in e-waste Feedly Summary: New modelling shows tech could massively increase current volumes of electronic landfill by 2030 Computational boffins’ research claims GenAI is set to create nearly 1,000 times more e-waste than exists currently by 2030, unless…