Show HN: PhAIL – Real-robot benchmark for AI models https://ift.tt/DbhpQ9Z

Show HN: PhAIL – Real-robot benchmark for AI models I built this because I couldn't find honest numbers on how well VLA models [1] actually work on commercial tasks. I come from search ranking at Google where you measure everything, and in robotics nobody seemed to know. PhAIL runs four models (OpenPI/pi0.5, GR00T, ACT, SmolVLA) on bin-to-bin order picking – one of the most common warehouse operations. Same robot (Franka FR3), same objects, hundreds of blind runs. The operator doesn't know which model is running. Best model: 64 UPH. Human teleoperating the same robot: 330. Human by hand: 1,300+. Everything is public – every run with synced video and telemetry, the fine-tuning dataset, training scripts. The leaderboard is open for submissions. Happy to answer questions about methodology, the models, or what we observed. [1] Vision-Language-Action: https://ift.tt/jfTkBPz https://phail.ai March 31, 2026 at 09:55PM

Show HN: My open-world voxel game with a magic system, playable in the browser https://ift.tt/xSDEJAF

Show HN: My open-world voxel game with a magic system, playable in the browser https://ift.tt/kezLVha April 1, 2026 at 12:08AM

Show HN: Rusdantic https://ift.tt/p73hNrc

Show HN: Rusdantic A unified, high-performance data validation and serialization framework for Rust, inspired by Pydantic's ergonomics and powered by Serde. https://ift.tt/7yjFoag March 31, 2026 at 03:27AM

Show HN: AI Spotlight for Your Computer (natural language search for files) https://ift.tt/T0HnPa1

Show HN: AI Spotlight for Your Computer (natural language search for files) Hi HN, I built SEARCH WIZARD — a tool that lets you search your computer using natural language. Traditional file search only works if you remember the filename. But most of the time we remember things like: "the screenshot where I was in a meeting" "the PDF about transformers" "notes about machine learning" Smart Search indexes your files and lets you search by meaning instead of filename. Currently supports: - Images - Videos - Audio - Documents Example query: "old photo where a man is looking at a monitor" The system retrieves the correct file instantly. Everything runs locally except embeddings. I'm looking for feedback on: - indexing approaches - privacy concerns - features you'd want in a tool like this GitHub: https://ift.tt/KO14BsA Demo: https://deepanmpc.github.io/SMART-SEARCH/ March 30, 2026 at 08:43PM

Show HN: Memv – Memory for AI Agents https://ift.tt/UZqd2Ez

Show HN: Memv – Memory for AI Agents memv is an open-source Python library that gives AI agents persistent memory. Feed it conversations; it extracts knowledge. The extraction mechanism is predict-calibrate (Nemori paper): given existing knowledge, it predicts what a new conversation should contain, then extracts only what the prediction missed. v0.1.2 adds the production path: - PostgreSQL backend (pgvector for vectors, tsvector for text search, asyncpg pooling). Single db_url parameter — file path for SQLite, connection string for Postgres. - Embedding adapters: OpenAI, Voyage, Cohere, fastembed (local ONNX). Other things it does: - Bi-temporal validity: event time (when was the fact true) + transaction time (when did we learn it), following Graphiti's model. - Hybrid retrieval: vector similarity + BM25 merged with Reciprocal Rank Fusion. - Episode segmentation: groups messages before extraction. - Contradiction handling: new facts invalidate old ones, with full audit trail. Procedural memory (agents learning from past runs) is next, deferred until there's usage data. https://ift.tt/OJEIv2e March 30, 2026 at 10:39PM

Show HN: I made my fitness dashboard public and Apple Health needs an API https://ift.tt/nqDaPoW

Show HN: I made my fitness dashboard public and Apple Health needs an API https://ift.tt/Vn3OUva March 30, 2026 at 11:09PM

Show HN: I made a "programming language" looking for feedback https://ift.tt/fxlah5Z

Show HN: I made a "programming language" looking for feedback https://ift.tt/ZHKmLMs March 30, 2026 at 12:05AM