Tag: ModI

  • Schneier on Security: Perfectl Malware

    Source URL: https://www.schneier.com/blog/archives/2024/10/perfectl-malware.html Source: Schneier on Security Title: Perfectl Malware Feedly Summary: Perfectl in an impressive piece of malware: The malware has been circulating since at least 2021. It gets installed by exploiting more than 20,000 common misconfigurations, a capability that may make millions of machines connected to the Internet potential targets, researchers from Aqua…

  • Simon Willison’s Weblog: Zero-latency SQLite storage in every Durable Object

    Source URL: https://simonwillison.net/2024/Oct/13/zero-latency-sqlite-storage-in-every-durable-object/#atom-everything Source: Simon Willison’s Weblog Title: Zero-latency SQLite storage in every Durable Object Feedly Summary: Zero-latency SQLite storage in every Durable Object Kenton Varda introduces the next iteration of Cloudflare’s Durable Object platform, which recently upgraded from a key/value store to a full relational system based on SQLite. This is a fascinating piece…

  • Simon Willison’s Weblog: An LLM TDD loop

    Source URL: https://simonwillison.net/2024/Oct/13/an-llm-tdd-loop/#atom-everything Source: Simon Willison’s Weblog Title: An LLM TDD loop Feedly Summary: An LLM TDD loop Super neat demo by David Winterbottom, who wrapped my LLM and files-to-prompt tools in a short Bash script that can be fed a file full of Python unit tests and an empty implementation file and will then…

  • Hacker News: Apple study proves LLM-based AI models are flawed because they cannot reason

    Source URL: https://appleinsider.com/articles/24/10/12/apples-study-proves-that-llm-based-ai-models-are-flawed-because-they-cannot-reason Source: Hacker News Title: Apple study proves LLM-based AI models are flawed because they cannot reason Feedly Summary: Comments AI Summary and Description: Yes Summary: Apple’s research on large language models (LLMs) highlights significant shortcomings in their reasoning abilities, proposing a new benchmark called GSM-Symbolic to evaluate these skills. The findings suggest…

  • Hacker News: NanoGPT (124M) quality in 3.25B training tokens (vs. 10B)

    Source URL: https://github.com/KellerJordan/modded-nanogpt Source: Hacker News Title: NanoGPT (124M) quality in 3.25B training tokens (vs. 10B) Feedly Summary: Comments AI Summary and Description: Yes Summary: The provided text outlines a modified PyTorch trainer for GPT-2 that achieves training efficiency improvements through architectural updates and a novel optimizer. This is relevant for professionals in AI and…

  • Slashdot: Halcyon Announces Anti-Ransomware Protection for Enterprise Linux Environments

    Source URL: https://it.slashdot.org/story/24/10/12/0555205/halcyon-announces-anti-ransomware-protection-for-enterprise-linux-environments Source: Slashdot Title: Halcyon Announces Anti-Ransomware Protection for Enterprise Linux Environments Feedly Summary: AI Summary and Description: Yes Summary: The text details Halcyon’s recent advancements in anti-ransomware solutions specifically targeted at Linux systems, highlighting the increasing threat of ransomware in that environment. Given the rising incidence of Linux attacks, the importance of…

  • Hacker News: Run Llama locally with only PyTorch on CPU

    Source URL: https://github.com/anordin95/run-llama-locally Source: Hacker News Title: Run Llama locally with only PyTorch on CPU Feedly Summary: Comments AI Summary and Description: Yes Summary: The text provides detailed instructions and insights on running the Llama large language model (LLM) locally with minimal dependencies. It discusses the architecture, dependencies, and performance considerations while using variations of…

  • Hacker News: Understanding the Limitations of Mathematical Reasoning in Large Language Models

    Source URL: https://arxiv.org/abs/2410.05229 Source: Hacker News Title: Understanding the Limitations of Mathematical Reasoning in Large Language Models Feedly Summary: Comments AI Summary and Description: Yes Summary: The text presents a study on the mathematical reasoning capabilities of Large Language Models (LLMs), highlighting their limitations and introducing a new benchmark, GSM-Symbolic, for more effective evaluation. This…