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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
Release v0.1.2 · syndicalt/llmff
syndicalt · 2026-05-23 · via Hacker News - Newest: "LLM"

llmff v0.1.2

Release-candidate package for the first GitHub Release asset workflow. This
release keeps the source-build install path and adds CI-built packaged
artifacts and release publication from main.

Supported Install

cargo install --git https://github.com/syndicalt/llmff --tag v0.1.2 llmff

Packaged Artifacts

Release-tag CI is expected to publish:

  • Linux x86_64 .tar.gz archive, .deb package, and Arch PKGBUILD plus
    llmff-0.1.2-arch.SRCINFO metadata.
  • macOS Apple Silicon and Intel .tar.gz archives and unsigned .pkg
    installers.
  • Windows x86_64 unsigned .zip archive and unsigned MSI installer.
  • Adjacent SHA-256 checksums for generated binary artifacts.

Manual workflow dispatch keeps generated files as Actions artifacts instead of
GitHub Release assets.

Included Since v0.1.1

  • CI-built binary archives for Linux, macOS Apple Silicon, macOS Intel, and
    Windows.
  • Debian package generation and smoke testing.
  • Arch package metadata generation.
  • Windows MSI packaging and smoke testing.
  • macOS .pkg packaging and smoke testing.
  • GitHub Release creation and asset upload from tag-triggered artifact jobs.
  • Stage, backend, and runtime model metadata commands for scripts and wrappers.
  • Runtime model inventory through llmff models list --format json.
  • Plugin discovery and stdin/stdout plugin execution for stage, tool transport,
    backend, and sampler extension points.
  • Streaming lifecycle events and selected-stage streaming from the CLI.
  • Local embedding retrieval, command retrieval providers, deterministic rerank,
    command rerank providers, and persistent local embedding indexes.
  • OpenAI-compatible base URL normalization for server roots and /v1 API roots.

Known Limitations

  • This is a pipeline runner, not a native inference kernel, model converter, or
    serving platform.
  • Windows and macOS native artifacts are unsigned in this release.
  • Arch Linux support is package metadata for an AUR-style flow, not an official
    repository package.
  • Package-manager distribution through Homebrew, winget, Scoop, apt
    repositories, or an official AUR package is not included yet.
  • Real-provider examples remain intentionally minimal; the deterministic mock
    examples are still the primary offline smoke path.

Verification

Release verification should pass before tagging:

scripts/release-preflight.sh v0.1.2
scripts/smoke-install.sh --git https://github.com/syndicalt/llmff --tag v0.1.2