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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 - 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 - vinzenzu/pi-auto-reviewer: Auto-review commands ...
vinzenzu · 2026-06-12 · via Hacker News - Newest: "LLM"

Automatically review bash commands that your pi agent wants to execute - akin to Codex "Auto-review" and Claude Code "auto mode".

How it works

Every bash command the agent wants to run goes through three tiers:

Tier Action Examples
1. Auto-permitted Runs immediately ls, cd, grep, git status, npm list, echo
2. Auto-blocked Refused immediately rm -rf, sudo, chmod 777, git push --force, shutdown
3. Needs review Sent to a reviewer LLM git commit, npm install, curl, mv, sed -i, cp

When a command falls into Tier 3, a subagent LLM reviews the command with project context and decides ALLOW or BLOCK.

Install

All projects (global)

cp auto-reviewer.ts ~/.pi/agent/extensions/

Via npm

pi install npm:pi-auto-reviewer

Single project

Copy the extension into your project:

cp auto-reviewer.ts .pi/extensions/

Pi auto-discovers extensions in .pi/extensions/ when the project is trusted.

Single session

Usage

Once installed, it works automatically - no configuration needed. Every bash command the agent tries to run will be reviewed.

What to expect

  • Safe commands (Tier 1) run without any visible delay.

  • Dangerous commands (Tier 2) are blocked with a notification explaining why.

  • Everything else (Tier 3) pauses briefly while the reviewer LLM decides. You'll see a status message: Reviewing: <command>...

    • If allowed: the command runs and you see Auto-reviewer: ✓ <reason>
    • If blocked: the command is refused and you see Auto-reviewer: ✗ <reason>
    • If the reviewer fails (timeout, error): you're prompted interactively to allow or deny manually.

Non-interactive mode

In print mode (pi -p) or JSON mode, Tier 3 commands are blocked by default since there's no UI to fall back on.

Customizing review rules

Edit AUTO_PERMITTED and AUTO_BLOCKED arrays in auto-reviewer.ts to add or remove patterns. Edit buildReviewPrompt() to change how the reviewer LLM decides.