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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
Add an LLM policy for `rust-lang/rust` by jyn514 · Pull Request #1040 · rust-lang/rust-forge
liyanage · 2026-05-15 · via Hacker News - Newest: "LLM"
## Summary
[summary]: #summary

This document establishes a policy for how LLMs can be used when contributing to `rust-lang/rust`.
Subtrees, submodules, and dependencies from crates.io are not in scope.
Other repositories in the `rust-lang` organization are not in scope.

This policy is intended to live in [Forge](https://forge.rust-lang.org/) as a living document, not as a dead RFC.
It will be linked from `CONTRIBUTING.md` in rust-lang/rust as well as from the rustc- and std-dev-guides.

## Moderation guidelines

This PR is preceded by [an enormous amount of discussion on Zulip](https://rust-lang.zulipchat.com/#narrow/channel/588130-project-llm-policy).
Almost every conceivable angle has been discussed to death;
there have been upwards of 3000 messages, not even counting discussion on GitHub.
We initially doubted whether we could reach consensus at all.

Therefore, we ask to bound the scope of this PR specifically to the policy itself.
In particular, we mark several topics as out of scope below.
We still consider these topics to be important, we simply do not believe this is the right place to discuss them.

No comment on this PR may mention the following topics:

- Long-term social or economic impact of LLMs
- The environmental impact of LLMs
- Anything to do with the copyright status of LLM output
- Moral judgements about people who use LLMs

We have asked the moderation team to help us enforce these rules.

## Feedback guidelines

We are aware that parts of this policy will make some people very unhappy.
As you are reading, we ask you to consider the following.

- Can you think of a *concrete* improvement to the policy that addresses your concern? Consider:
  - Whether your change will make the policy harder to moderate
  - Whether your change will make it harder to come to a consensus
- Does your concern need to be addressed before merging or can it be addressed in a follow-up?
  - Keep in mind the cost of *not* creating a policy.

### If your concern is for yourself or for your team
- What are the *specific* parts of your workflow that will be disrupted?
  - In particular we are *only* interested in workflows involving `rust-lang/rust`.
    Other repositories are not affected by this policy and are therefore not in scope.
- Can you live with the disruption? Is it worth blocking the policy over?

---

Previous versions of this document were discussed on Zulip, and we have made edits in responses to suggestions there.

## Motivation
[motivation]: #motivation

- Many people find LLM-generated code and writing deeply unpleasant to read or review.
- Many people find LLMs to be a significant aid to learning and discovery.
- `rust-lang/rust` is currently dealing with a deluge of low-effort "slop" PRs primarily authored by LLMs.
  - Having *a* policy makes these easier to moderate, without having to take every single instance on a case-by-case basis.

This policy is *not* intended as a debate over whether LLMs are a good or bad idea, nor over the long-term impact of LLMs.
It is only intended to set out the future policy of `rust-lang/rust` itself.

## Drawbacks
[drawbacks]: #drawbacks

- This bans some valid usages of LLMs.
  We intentionally err on the side of banning too much rather than too little in order to make the policy easy to understand and moderate.
- This intentionally does not address the moral, social, and environmental impacts of LLMs.
  These topics have been extensively discussed on Zulip without reaching consensus, but this policy is relevant regardless of the outcome of these discussions.
- This intentionally does not attempt to set a project-wide policy.
  We have attempted to come to a consensus for upwards of a month without significant process.
  We are cutting our losses so we can have *something* rather than adhoc moderation decisions.
- This intentionally does not apply to subtrees of rust-lang/rust.
  We don't have the same moderation issues there, so we don't have time pressure to set a policy in the same way.

## Rationale and alternatives
[rationale-and-alternatives]: #rationale-and-alternatives

- We could create a project-wide policy, rather than scoping it to `rust-lang/rust`.
  This has the advantage that everyone knows what the policy is everywhere, and that it's easy to make things part of the mono-repo at a later date.
  It has the disadvantage that we think it is nigh-impossible to get everyone to agree.
  There are also reasons for teams to have different policies; for example, the standard for correctness is much higher within the compiler than within Clippy.
- We could have a more strict policy that removes the [threshold of originality](https://fsfe.org/news/2025/news-20250515-01.en.html) condition.
  This has the advantage that our policy becomes easier to moderate and understand.
  It has the disadvantage that it becomes easy for people to intend to
  follow the policy, but be put in a position where their only choices
  are to either discard the PR altogether, rewrite it from scratch, or
  tell "white lies" about whether an LLM was involved.
- We could have a more strict policy that bans LLMs altogether.
  It seems unlikely we will be able to agree on this, and we believe attempting it will cause many people to leave the project.

## Prior art
[prior-art]: #prior-art

This prior art section is taken almost entirely from [Jane Lusby's summary of her research](rust-lang/leadership-council#273 (comment)),
although we have taken the liberty of moving the Rust project's prior art to the top.
We thank her for her help.

### Rust
- [Moderation team's spam policy](https://github.com/rust-lang/moderation-team/blob/main/policies/spam.md/#fully-or-partially-automated-contribs)
- [Compiler team's "burdensome PRs" policy](rust-lang/compiler-team#893)
### Other organizations
 These are organized along a spectrum of AI friendliness, where top is least friendly, and bottom is most friendly.
- full ban
  - [postmarketOS](https://docs.postmarketos.org/policies-and-processes/development/ai-policy.html)
        - also explicitly bans encouraging others to use AI for solving problems related to postmarketOS
        - multi point ethics based rational with citations included
  - [zig](https://ziglang.org/code-of-conduct/)
    - philosophical, cites [Profession (novella)](https://en.wikipedia.org/wiki/Profession_(novella))
    - rooted in concerns around the construction and origins of original thought
  - [servo](https://book.servo.org/contributing/getting-started.html#ai-contributions)
    - more pragmatic, directly lists concerns around ai, fairly concise
  - [qemu](https://www.qemu.org/docs/master/devel/code-provenance.html#use-of-ai-content-generators)
    - pragmatic, focuses on copyright and licensing concerns
    - explicitly allows AI for exploring api, debugging, and other non generative assistance, other policies do not explicitly ban this or mention it in any way
- allowed with supervision, human is ultimately responsible
  - [scipy](https://github.com/scipy/scipy/pull/24583/changes)
    - strict attribution policy including name of model
  - [llvm](https://llvm.org/docs/AIToolPolicy.html)
  - [blender](https://devtalk.blender.org/t/ai-contributions-policy/44202)
  - [linux kernel](https://kernel.org/doc/html/next/process/coding-assistants.html)
    - quite concise but otherwise seems the same as many in this category
  - [mesa](https://gitlab.freedesktop.org/mesa/mesa/-/blob/main/docs/submittingpatches.rst)
    - framed as a contribution policy not an AI policy, AI is listed as a tool that can be used but emphasizes same requirements that author must understand the code they contribute, seems to leave room for partial understanding from new contributors.
        > Understand the code you write at least well enough to be able to explain why your changes are beneficial to the project.
  - [forgejo](https://codeberg.org/forgejo/governance/src/branch/main/AIAgreement.md)
    - bans AI for review, does not explicitly require contributors to understand code generated by ai.
      One could interpret the "accountability for contribution lies with contributor even if AI is used" line as implying this requirement, though their version seems poorly worded imo.
  - [firefox](https://firefox-source-docs.mozilla.org/contributing/ai-coding.html)
  - [ghostty](https://github.com/ghostty-org/ghostty/blob/main/AI_POLICY.md)
    - pro-AI but views "bad users" as the source of issues with it and the only reason for what ghostty considers a "strict AI policy"
  - [fedora](https://communityblog.fedoraproject.org/council-policy-proposal-policy-on-ai-assisted-contributions/)
    - clearly inspired and is cited by many of the above, but is definitely framed more pro-ai than the derived policies tend to be
- [curl](https://curl.se/dev/contribute.html#on-ai-use-in-curl)
  - does not explicitly require humans understand contributions, otherwise policy is similar to above policies
- [linux foundation](https://www.linuxfoundation.org/legal/generative-ai)
  - encourages usage, focuses on legal liability, mentions that tooling exists to help automate managing legal liability, does not mention specific tools
- In progress
  - NixOS
    - NixOS/nixpkgs#410741

## Unresolved questions
[unresolved-questions]: #unresolved-questions

See the "Moderation guidelines" and "Drawbacks" section for a list of topics that are out of scope.