Dummy's Guide to Modern LLM Sampling

Large Language Models (LLMs) work by generating text one token at a time, using a vocabulary of sub-words (fragments of words) rather than whole words or letters. This approach is used because it allows LLMs to efficiently process and generate text, while also capturing complex linguistic relationships and handling rare or new words by breaking them down into smaller sub-word units.

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AI code is legacy code?

The likelihood of deep improvement in a codebase depends on its age and who maintains it, with original creators making changes more efficiently, especially when the code is new. AI-generated software, however, starts its life as "legacy code" without the benefits of recency or original creator maintenance, but this may become less relevant as code is replaced by prompts and large context windows with smarter models.

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Show HN: My AI Native Resume

Jake Gaylor has set up an MCP server at https://ai.jakegaylor.com/mcp, allowing AI assistants to connect and learn about his background, skills, and experience as a software engineer. The server provides access to his resume information, technical skills, and professional philosophy, and can be used by recruiters, hiring managers, and others to evaluate his fit for various roles and projects.

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AI Meets WinDBG

The traditional method of crash dump analysis, which involves manually typing arcane commands and interpreting hexadecimal memory addresses, is being revolutionized by the use of AI-assisted tools. A new approach, which utilizes GitHub Copilot and a Model Context Protocol Server, allows developers to simply have a conversation with their debugger, asking questions like "why did this application crash?" and receiving intelligent, contextual answers that help solve the problem.

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An appeal to companies doing AI

The author believes that tech companies' enthusiasm for AI is driven by a fundamental misunderstanding of why people dislike it, with many assuming concerns are based on sci-fi scenarios like the Singularity or robot uprisings. The author's own concerns about AI are rooted in its potential to enable antisocial behaviors, such as misinformation and nonconsensual content, and to erode privacy, particularly when AI features are added to otherwise secure technologies like end-to-end encrypted messaging apps.

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A Survey of AI Agent Protocols

The rapid deployment of large language models across various industries has been hindered by the lack of a standardized communication protocol, making it difficult for agents to work together and scale effectively. A unified protocol could enable smoother interactions, encourage collaboration, and facilitate collective intelligence, with key characteristics of next-generation protocols including adaptability, privacy preservation, and group-based interaction.

ArXiv

CMU TheAgentCompany: Benchmarking LLM Agents on Consequential Real World Tasks

Researchers have developed a benchmark called TheAgentCompany to evaluate the performance of AI agents in completing work-related tasks, finding that the most competitive agent can autonomously complete 24% of tasks in a simulated software company environment. The results suggest that while AI agents can handle simpler tasks, they still struggle with more complex and long-term tasks, providing a nuanced view of the potential for task automation with current language models.

ArXiv

TheAgentCompany: Benchmarking LLM Agents on Consequential Real World Tasks

Researchers have developed a benchmark called TheAgentCompany to evaluate the performance of AI agents in completing work-related tasks, finding that the most competitive agent can autonomously complete 24% of tasks in a simulated software company environment. The results suggest that while AI agents can handle simpler tasks, they still struggle with more complex and long-term tasks, providing a nuanced view of the potential for task automation with current language models.

ArXiv

Matrix-vector multiplication implemented in off-the-shelf DRAM for Low-Bit LLMs

MVDRAM is a system that accelerates general matrix-vector multiplication (GeMV) operations for low-bit large language model (LLM) inference using unmodified DRAM, achieving up to 7.29× speedup and 30.5× energy efficiency. By leveraging data sharing patterns and mathematical linearity, MVDRAM eliminates overhead costs and demonstrates the potential to redefine the AI hardware landscape by utilizing standard DRAM as an LLM accelerator.

ArXiv

Topology of Musical Data

This paper explores the application of topological structures to musical data through various metrics, using both classical topology and modern data-driven techniques like persistent homology. The analyses successfully recover known musical structures, such as the circle of notes and the circle of fifths, and reveal interesting features in a variety of musical works, including folk music.

ArXiv

Show HN: VoltAgent – Open-Source Observability-First TS AI Agent Framework

VoltAgent is an open-source TypeScript framework for building and orchestrating AI agents, providing a middle ground between the complexity of starting from scratch and the limitations of no-code builders. It offers modular building blocks, standardized patterns, and abstractions to simplify the development of AI agent applications, allowing developers to focus on defining their agents' capabilities and logic.

Repo

LLM-powered tool to detect PII in logs for privacy and GDPR compliance (for fun)

PII Guard is a tool that uses Large Language Models (LLMs) to detect and manage Personally Identifiable Information (PII) in logs, supporting data privacy and GDPR compliance. The project utilizes the gemma:3b model to identify PII in both structured and unstructured log data, handling real-world complexities and multilingual input more effectively than traditional regex-based approaches.

Repo

VibeGit: Automagically group and commit related changes with AI

VibeGit is an AI-powered tool that helps manage Git repositories by automating tasks such as grouping related changes and generating commit messages. It uses natural language processing to analyze code changes and provide sensible commit messages, aiming to reduce manual effort and improve workflow efficiency.

Repo

Show HN: A Modern Personal Homepage Template with Fluid Background and Anime.js

SimonAKing is a customizable homepage template that features a WebGL fluid simulation background, responsive design, and a small file size, and can be installed and configured using npm and a config.json file. The template includes features such as animation, mobile support, and delayed response switch page events, and can be deployed to a server hosting provider, including GitHub Pages.

Repo

Show HN: Promptor. Turn any codebase into a single, clean prompt – in seconds

Promptor is a macOS app that allows users to drag and drop a folder and generate a perfectly formatted prompt for ChatGPT or other large language models, filtering out unnecessary files and providing features like smart ignore rules and live token counting. The app is open-source, free, and locally run, with no server-side processing or API keys required, making it a convenient tool for quickly generating prompts from codebases.

Repo