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Hacker News - Newest: "LLM"

GitHub - lechmazur/position_bias: A benchmark for testing whether LLM judges keep the same preference when two lightly edited versions of the same story are shown in opposite orders. Flex routing (EU and EFTA) Dark Factories: Retooling for LLM Velocity Ask HN: What would be the impact of a LLM output injection attack? GitHub - AronDaron/dataset-generator: No-code desktop app for generating high-quality synthetic datasets to fine-tune LLMs — plan-then-execute pipeline, LLM-as-judge, HuggingFace upload. GitHub - Oaklight/llm-rosetta: Production-ready LLM API translation layer for Python — bidirectional conversion between OpenAI, Anthropic & Google formats via hub-and-spoke IR. Optional API gateway. Streaming & non-streaming. Zero core deps. Contributions welcome! GitHub - browser-use/browser-harness: Self-healing browser harness that enables LLMs to complete any task. GitHub - moeen-mahmud/remen: Remen turns thoughts into something you can return to Analyzing 156 LLM Launch Posts on Hacker News ChatGPT vs Gemini vs Claude: The Best LLM Subscription You Should Buy GitHub - salaamalykum/quran-semantic-search: High-density RAG Semantic Search Engine & Quran Corpus (GEO/SEO Architecture) GitHub - NVIDIA/TensorRT-LLM: TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT LLM also contains components to create Python and C++ runtimes that orchestrate the inference execution in a performant way. The State of LLM Bug Bounties in 2026 Operational Readiness Criteria for Tool-Using LLM Agents Meshcore: Architecture for a Decentralized P2P LLM Inference Network How an LLM becomes more coherent as we train it GitHub - seetrex-ai/laimark GitHub - Jossifresben/BibCrit: AI-assited biblical textual criticism GitHub - wastedcode/memex: File system based wiki, maintained by Claude 99helpers.com GitHub - cliver-project/AITrigram GitHub - unbody-io/adapt: A self-evolving memory layer for AI agents. GitHub - hb20007/awesome-gen-ai-fails: A list of incidents where reliance on generative AI and LLMs resulted in harm to companies, individuals, or society GitHub - nevenkordic/localmind: Run any local LLM with persistent memory and context. CLI agent over Ollama with SQLite-backed hybrid recall. No cloud. Ask HN: What are the machine requirements for a LLM like Llama-3.1-8B? Faster LLM Inference via Sequential Monte Carlo grpo explained: group relative policy optimization for llm finetuning - cgft Stop comparing price per million tokens: the hidden LLM API costs · TensorZero Andrej Karpathy's LLM Wiki Is a Bad Idea GitHub - GG-QandV/mnemostroma: Offline RAM-first cognitive leer/coprocessor for AI agents and robotics. Solves "Context Abandonment" with 20-80ms latency using a dual-thread biomimetic memory architecture (ONNX + SQLite WAL). mempalace/agent at agent · skorotkiewicz/mempalace GitHub - Nyquest-ai/nyquest-rust-fullstack-pub: Nyquest — Semantic Compression Proxy for LLMs. 350+ rules, local LLM stage, 15-75% token savings. Full Rust stack. GitHub - TheoV823/mneme: Enforce architectural decisions in AI-assisted development. GitHub - klemenvod/TokenBrawl: A 1v1 Bomberman-style game where two LLM agents play autonomously against each other. No human plays — you watch the AIs fight. Each agent receives a text description of the board state, reasons about it, and outputs a move as JSON. The game engine executes it. Introducing the Common AI Provider: LLM and AI Agent Support for Apache Airflow Power Circuit AI: Designing Power Electronic Circuits for Motor Drives with Generative Artificial Intelligence Ask HN: How to program with IDE and LLM on CPU locally? Show HN: Agent-cache – Multi-tier LLM/tool/session caching for Valkey and Redis Bonsai 1-bit WebGPU - a Hugging Face Space by webml-community The LLM Fallacy: Misattribution in AI-Assisted Cognitive Workflows Ask HN: Simple tooling for local LLM code critique without IDE integration? Can a General LLM Diagnose a DICOM Slice? A 10-Case Public Benchmark Charts-of-Thought: Enhancing LLM Visualization Literacy (PDF, 2026) GitHub - Mesh-LLM/mesh-llm: Distributed AI/LLM for the people. Share compute privately or publicly to power your agents and chat. GitHub - seamus-brady/springdrift: A persistent runtime for long-lived LLM agents Writing an LLM from scratch, part 32k -- Interventions: training a better model locally with gradient accumulation Ask HN: Which LLM model and agentic CLI are you using for local development? GitHub - wayneColt/modelcascade: Route local. Escalate smart. Never overspend. Open-source multi-model cascade routing for autonomous agents. LLM pricing is 100x harder than you think GitHub - asakin/llm-primer: Pre-warmed Claude Code sessions in tmux. No startup wait. GitHub - EggerMarc/chat-rs: A multi-provider LLM framework for Rust. GitHub - SynapseKit/SynapseKit: Minimal, async-first Python framework for production LLM apps- 2 hard deps, no magic, no SaaS. A Claude Skill that Makes LLM Paragraphs More Bearable Does Gas Town 'steal' usage from users' LLM credits & paid services to improve itself? What's Claude Code Actually Doing? Open the Black Box with the Arthur Engine Milla Jovovich's New Open Source LLM Memory App and the Dark Code Problem Your intuition of LLM token usage might be wrong Show HN: Bloomberg Terminal for LLM ops – free and open source GitHub - 0xchamin/mcptube: Transform YouTube videos into a compounding knowledge base with transcripts, vision analysis, and agentic search. Works as an MCP server for Claude, Copilot & more. Show HN: Open KB: Open LLM Knowledge Base Your LLM is a compiler, not a runtime GitHub - sapountzis/Unslop: A Web Feed That Deserves You crates.io: Rust Package Registry Beyond Karpathy's LLM-Wiki: The Necessity of Cognitive Governance GitHub - amitshekhariitbhu/llm-internals: Learn LLM internals step by step - from tokenization to attention to inference optimization. GitHub - parallem-ai/parallem: An expressive library for running agents with the Batch API. GitHub - stfurkan/pi-llm LLM-Wiki Show HN: Formal – Formal verification for AI-generated code using Lean 4 LRTS – Regression testing for LLM prompts (open source, local-first) LLM Wiki Skill: Build a Second Brain with Claude Code and Obsidian I built an LLM Wiki and RAG solution: here's a demo for a security KB The biggest advance in AI since the LLM Predict-Rlm: The LLM Runtime That Lets Models Write Their Own Control Flow the-synthetic-library/the-synthetic-mind at main · joshferrer1/the-synthetic-library GitHub - yisding/reviewwiggum GitHub - Donnyb369/mcp-spine: Context Minifier & State Guard — Local-first MCP middleware proxy GitHub - Beledarian/wgpu-llm: A from-scratch LLM inference engine that uses wgpu (the cross-platform WebGPU implementation) to dispatch WGSL compute shaders for every math operation a Transformer needs. No CUDA. No Python. No massive framework dependencies. Just Rust, raw shaders, and your GPU. GitHub - anitiue/Hindsight: An experience-driven self-improvement framework for LLM agents — 基于经验的 LLM Agent 自我改进框架 GitHub - stef41/lmscan: 🔍 Detect AI-generated text and fingerprint which LLM wrote it. Open-source GPTZero alternative. Zero dependencies, works offline. GitHub - alainnothere/AmdPerformanceTesting: Amd Performance Testing Ask HN: Is a purely Markdown-based CRM a terrible idea? Optimized for LLM agents Context Engineering - LLM Memory and Retrieval for AI Agents | Weaviate little_helper_tui/letter.md at main · sleepyeldrazi/little_helper_tui GitHub - EvanZhouDev/umr: The Unified Model Registry for all your local AI apps. GitHub - JordanCT/VigIA-Orchestrator Your Agent Is Mine: Measuring Malicious Intermediary Attacks on the LLM Supply Chain A Taxonomy of RL Environments for LLM Agents Llama LLM Network Feture GitHub - genedeng-ca/ai-mac-migration: AI-powered Mac-to-Mac migration tool - replace Apple Migration Assistant with intelligent, selective transfer using local LLMs GitHub - lunargate-ai/gateway: High-performance self-hosted AI gateway (OpenAI-compatible) with routing, retries, and streaming GitHub - AuthBits/webmcp: A lightweight, prompt-driven MCP web research server for high-quality LLM powered information extraction. Externalization in LLM Agents: A Unified Review of Memory, Skills, Protocols and Harness Engineering Springdrift: An Auditable Persistent Runtime for LLM Agents with Case-Based Memory, Normative Safety, and Ambient Self-Perception High-Stakes Personalization: Rethinking LLM Customization for Individual Investor Decision-Making From Static Templates to Dynamic Runtime Graphs: A Survey of Workflow Optimization for LLM Agents HUOZIIME: An On-Device LLM-enhanced Input Method for Deep Personalization TIDE: Token-Informed Depth Execution for Per-Token Early Exit in LLM Inference Characterizing WebGPU Dispatch Overhead for LLM Inference Across Four GPU Vendors, Three Backends, and Three Browsers LLM Targeted Underperformance Disproportionately Impacts Vulnerable Users
Easy VM sandboxes for LLM agents on MacOS, Miami & Paris travel
rguiscard · 2026-04-30 · via Hacker News - Newest: "LLM"

Hi friends,

I’m traveling the next two weeks, drop me a line if you want to grab a coffee!

  • Miami Monday Feb 2 — Tuesday Feb 10
  • Paris Wednesday Feb 11 — Sunday Feb 15

LLM agent virtual machine sandbox

The other day I asked OpenAI’s Codex agent to write me a lil’ Rust program to use a bluetooth gamepad as a mouse, and I caught the agent reading files outside of the directory I started it in. I found this quite surprising, since I assumed it’d be contained within the project folder. (I was using the default settings, not the more permissive --yolo mode.)

I don’t like the idea of an LLM agent rooting around my computer and uploading anything it finds to OpenAI, so I started shopping around for a “sandbox” — something I could let an agent loose inside of while maintaining explicit control of what it sees.

I searched around and was, unfortunately, unable to find any Mac solution that met my requirements:

  • be an actual VM, not a container thingy (containers are less secure, and on MacOS they require a Linux VM anyway)
  • be easy to spin up/down quickly with no configuration ceremony
  • not involve other people’s servers, subscriptions, etc., etc.

That’s fine — I’ve been messing with virtual machines for 20 years now, surely I can throw something together in an hour or two!

Well, uh, several busy weekends later, I’d like to present Vibe, an easy way to spin up virtual machines on ARM-based Macs.

I’m quite pleased with how it turned out:

  • You type vibe in a folder and in ~10 seconds are inside of a Linux virtual machine.
  • The folder is automatically mounted within the VM, so you can monitor an agent’s work from the comfort of your regular Mac text editor, Git UI, etc.
  • Common package caches (Cargo’s registry, Maven’s ~/.m2, mise-en-place) are also shared so the sandbox VM doesn’t need to re-download stuff.
  • The binary is < 1 MB and has no dependencies.

Being able to run LLM agents as root with --yolo mode is a great experience. It feels much more like managing an IC — you provide the necessary context in a big prompt, tell them to install whatever tools they need, and then let them cook for while you go focus on something else.

While the vibe defaults are geared towards use as an LLM agent sandbox, you can customize everything with scripts and command line flags so you can use it for all sorts of other virtual machine purposes.

Check it out and let me know what you think!

Misc. stuff

  • I recently bought a $150 GL-MT6000 router so I could make a separate “offline” network for stuff like my 3D-printer and Windows computer that I want to keep off the Internet. The router is awesome! It comes with the open source OpenWRT firmware installed, which provides a fast web UI, simple text configs you can backup with rsync, and lots of built-in functionality like AdGuard (blocks ads for every device on the network via DNS) and Wireguard/Tailscale (easy VPN so you can access your home network from anywhere). Highly recommended.

  • Last newsletter I mentioned vibecoding a copy from mac photos app since I couldn’t get the functionality I needed from the otherwise great Clop Mac photo resizing utility. Well it turns out the author subscribes to this newsletter, checked out my source code, and immediately added the feature. If that isn’t enough of a coincidence, he also loved my powered air respirator project since he’s a woodworker too and has been developing his own hardwax oils for the turned coffee cups he sells. I love the Internet.

  • “In this post, we will explain why the “concurrency + floating point” hypothesis misses the mark, unmask the true culprit behind LLM inference nondeterminism, and explain how to defeat nondeterminism and obtain truly reproducible results in LLM inference.”

  • “In the past, almost everybody travelled on the left side of the road because that was the most sensible option for feudal, violent societies.”

  • ASCII characters are not pixels: a deep dive into ASCII rendering

  • It sounds dumb but they really fixed a typo with a human leg

  • Every James Cameron Movie, Explained by James Cameron

  • Apple Rankings: The definitive list of good and bad apples.

  • The Bloomberg Terminal UX team is not messing around: “Making substantial changes, even good ones, will reliably annoy a percentage of customers, so Jeffery’s team plans redesigns with incremental updates that roll out over weeks or months. For example, when they wanted to flatten the gradient of an element, they wouldn’t do so all at once, instead changing it little by little each month.”

  • TIL that the founder of Reuters started with a carrier-pigeon line between Berlin and Paris before eventually laying their own transatlantic telegraph cable.