An AI decision model named Jev is live-playing Pokémon Red and streaming the entire game. The project showcases how AI can make game decisions, with a focus on an AI assistant called Frigade for guiding users in products. (jev-pokemon.vercel.app)
mysetup.ai is a community platform where builders share their AI configurations and learn from others' setups. It aims to help users understand different tools and workflows used in AI development. (mysetup.ai)
Today's best Hacker News stories, summarized and screenshotted, one email a day.
Qwen3.8-Flash-Next, a large language model, runs on a 48GB Mac with 104GB of data at approximately 12 tokens per second. The project demonstrates efficient deployment of high-capacity models on limited hardware. (github.com)
Cactus Needle 3 is a compact AI model of 8-29MB designed for mobile and embedded devices, outperforming larger models in tool-based tasks. It enables applications like smart homes, robots, and wearables to perform complex tasks offline with high accuracy. (cactuscompute.com)
Magnitude is a self-optimizing inference engine designed for agents, aiming to improve AI efficiency. It is part of YC S25 and available as an open-source project on GitHub. (github.com)
A visualization tool demonstrates how large language models use attention mechanisms to select relevant past tokens during text generation. It reveals how models copy information and combine data from different parts of the input, enhancing understanding of their internal processes. (ishamf.dev)
AI models in 2026 generated SVG images based on whimsical prompts, such as an octopus operating a pipe organ. The project compares outputs from various models across 2025 and 2026. (gally.net)
TinyAIArena hosts AI agents competing in battles within a web-based arena. The platform allows users to watch, autoplay, and chat during matches. (tinyaiarena.com)
A new platform hosts a competition for developing small neural networks that can play strategy games. The goal is to encourage innovation and learning in neural network optimization for game playing. (tinybrains.dev)
Sunk Cost analyzes when a local large language model (LLM) rig becomes cost-effective by calculating its break-even point based on hardware, energy, and usage. It compares local model performance and costs against API-based models like GPT and Claude. (sunkcost.ai)
Engrim is a local-first SQLite memory engine designed for AI command-line interfaces. It aims to provide a universal solution for AI applications that require efficient in-memory data handling. (github.com)
Nine different harnesses were tested on identical software tasks, revealing significant variations in cost, speed, and success rates. Codex achieved the highest quality with a 66.7% pass rate, while Exo Harness was the most cost-effective at $1.05 per task. (frontierharness.org)
A new GitHub project offers a Claude-based AI skill to analyze chess games. It aims to help users understand and improve their gameplay through AI insights. (github.com)
Pac-Bench tests how well AI models can recreate a Pac-Man game from a single prompt. It compares different models based on speed, cost, and accuracy in generating the game. (jonclegg.github.io)
A website tracks the release dates and training cutoffs of 20 AI models to show how current their knowledge is. The training cutoff indicates the last date the model read new data, making models potentially outdated at launch. (stale.jock.pl)
Nari Labs' Qwen3-ASR and Qwen3-TTS models lead industry benchmarks for speech-to-text and text-to-speech in latency, accuracy, and cost. The models achieve top rankings in Coval's public benchmarks, offering high performance at competitive prices. (narilabs.com)
Skillsync enables users to transfer AI chat sessions seamlessly across different agents and teammates, enhancing portability and collaboration. It supports multiple agents and local-first operation, with testimonials highlighting its ease of migration and productivity benefits. (skillsync.com)
Raven is an AI-powered harness designed to reduce repetitive strain injury for developers. It integrates with coding workflows and tools to enhance productivity and comfort. (github.com)
CUA-S1 is a system one model designed for computer use, available as an open-source project on GitHub. It aims to enhance AI-driven interactions and workflows for developers. (github.com)
Lossless-memory is a personal AI memory system that never summarizes, preserving all details of interactions. It aims to provide a comprehensive, lossless record of information for individual use. (github.com)
Pizza Bot is an inbox for AI agents that operate in the background, automating tasks and workflows. It aims to streamline AI agent management and integration within development environments. (github.com)
Ordewell is a tool that converts a single goal into a structured plan of tasks for AI coding agents. It aims to streamline the process of breaking down goals into actionable coding steps. (github.com)
Jevstiller creates a small local model that answers about 98% of requests with a 15 ms response time, matching Jev's answers with high confidence. It guarantees a specified level of agreement with Jev, balancing coverage and disagreement without relying on traditional confidence thresholds. (jevstiller.pages.dev)
Geiger is a tool that visualizes all AI agents running on a machine and shows what they can access. It helps users understand the scope and connections of AI agents in their environment. (github.com)
TurboGPT can train a 22,000-parameter transformer model in just 13 seconds. The project aims to make training small models faster and more efficient. (github.com)
MultiMatte is an open-source image background removal model that can be guided by text prompts to keep specific objects. It improves on segmentation by using alpha mattes to accurately handle fuzzy or translucent boundaries. (usefeyn.com)
OtoDock has developed a self-hosted company operating system that integrates Claude Code and Codex AI agents within departments. The platform aims to streamline developer workflows, security, and collaboration in organizations. (github.com)
AI·rete·RAG combines a Python-based Rete rule engine with retrieval-augmented generation (RAG) to make auditable decisions in areas like lending and fraud. It uses rules to evaluate facts and provides plain-English explanations citing policy documents, ensuring transparency and consistency. (ai-rete-rag.com)
Vespper has launched DOCX MCP, a fine-tuned AI model for editing Word documents that is three times faster, twice cheaper, and more accurate than alternatives. It addresses the complexity of .docx files, which are ZIP archives containing XML files, to improve AI performance in legal, finance, and healthcare sectors. (vespper.com)
Moadim.io is an open-source scheduler for AI agents that runs prompts, schedules, and agents like Claude or Pi in isolated loops on local machines. It enables loop engineering with a REST API, web UI, and MCP support, all without cloud dependencies. (moadim.io)
Jevals replaces traditional LLM judges with typed decision outputs, streamlining the evaluation process. It aims to improve consistency and transparency in AI assessments. (github.com)
Swift-Qwen3.8-27B is a new AI model on Hugging Face that reduces thinking time by 58.3% and nearly doubles processing speed with high accuracy. It aims to improve AI efficiency for various tasks. (huggingface.co)
Today's best Hacker News stories, summarized and screenshotted, one email a day.