Show HN: Omen – A lightweight Kubernetes chaos operator with manual approval
Lightweight Kubernetes chaos engineering operator with manual approval gates and webhook notifications for safe, transparent testing.
Lightweight Kubernetes chaos engineering operator with manual approval gates and webhook notifications for safe, transparent testing.
Benchmark tool for LLM comparison using Oxford-style debate format where models compete to flip votes.
Data structure providing canonical ticker identity mapping across financial market data providers.
API providing factual verification for LLMs through semantic news search, evidence ranking, and causal reasoning with structured JSON responses.
Headline only, insufficient content about adding memory capabilities to Hermes agent.
Static verification tool for AI agent workflows using structured planning with symbolic references to prevent prompt injection, based on Guardians of the Agents paper.
AI agent skill that audits code repositories for security issues and generates HTML reports with findings and recommendations.
Rule system for Claude Code that adds structural discipline through phase tracking, decision logging, and language-specific best practices as reusable skills.
Incomplete stub referencing Claude Mythos headlines without content.
AI image generation tool claiming reasoning capabilities for spatial logic and object relationships vs diffusion-based models.
8d: agent-native version control system designed to handle workflows where traditional Git breaks, optimized for AI agent collaboration.
Keychron released production-grade CAD files for keyboards and mice under source-available license for personal and educational use.
Arcana: open-source browser-based research lab where AI agents autonomously read papers, formulate hypotheses, execute experiments on remote GPUs, and iterate.
Headline only, insufficient content about idea structuring tool.
Open-source AI teacher assistant that appears as buddy next to cursor, can see screen and provide contextual guidance using Claude.
Process manager for persistent AI agents with terminal dashboard, web UI, declarative config, and support for macOS, Linux, Windows.
Weight loss supplement guide. Off-topic.
Headline only claiming Cloudflare rebuilt Next.js with one engineer and AI in one week.
Meta released Muse Spark model via private API preview on meta.ai, claims competitive performance with Opus 4.6, Gemini 3.1 Pro, GPT 5.4.
Browser extension using regex patterns to scan Terms of Service and privacy policies for red flags, no AI or data transmission.
White-glove AI consulting agency deploying AI-first products across industries with strategic guidance and technical implementation.
Personal essay reflecting on changing role of software engineers amid rise of agentic AI systems and autonomous coding tools.
Researcher discusses LLM-powered agents, challenges keeping research current with rapid industry development.
Experimental analysis of whether LLMs can accelerate scientific research. Tests Opus and Codex on wet lab tasks.
Analysis of AI ROI expectations and failure rates. Discusses coding as LLMs' most promising application area.
Keychron released production-grade CAD files for keyboards and mice under source-available license for personal and educational use.
Open-source MCP app restoring Claude's removed /buddy companion feature as standalone assistant compatible with any Claude Code version.
Article argues AI-generated code only needs to exceed developer capability, discusses formal methods and language design.
GPU-based solver for higher-order binary optimization (HUBO) problems with 3+ variable interactions, matching commercial annealer performance.
Apple iPhone Air 2 sales predictions and design rumors from a leaker.
Statistical estimation of Shogi game state-space complexity using Monte Carlo methods, narrowing previous estimates to higher precision.
Research documenting patterns of language model refusal on unjust or absurd rules, arguing for better moral reasoning in AI safety training.
Data science study using machine learning to predict container service requirements and dwell times at terminals to reduce unproductive moves.
Research on distilling hallucination detection signals into transformer representations during training, enabling inference-time detection without external verification.
Framework combining expert medical knowledge with deterministic reasoning to improve reliability and reduce hallucinations in AI-driven symptom analysis systems.
Research paper on uncertainty quantification for reasoning LLMs using hedge-to-verify ratio, addressing limitations of sampling and single-pass proxy methods for proprietary APIs.
Application-layer OS for universal AI agent orchestration supporting 10 LLM providers, 8+ frameworks, 12 multi-agent topologies, and heterogeneous systems.
Hybrid LLM plus lightweight proof checker for reliable math/logic reasoning, verifying arguments and catching logical missteps in generated proofs.
Studies emotion-sensitive decision-making in small language model agents using activation steering and game-theoretic evaluation.
Analysis of cross-domain generalization in reasoning SFT with chain-of-thought, showing generalization is conditional on optimization, data, and base model capability.
Knowledge distillation framework for multi-agent RL enabling resource-aware deployment on edge devices with smaller models.
Lightweight routing engine for Internet of Agents managing agent discovery and request dispatch across devices, edge, and cloud with latency/privacy constraints.
Open evaluation framework ATANT for measuring continuity in AI systems: persistence, context updating, and reconstruction across time.
Framework for steering verifiability of multimodal LLM hallucinations, distinguishing between obvious and elusive hallucinations to guide mitigation strategies.
LLM-driven autonomous multi-agent framework for end-to-end turbomachinery aerodynamic design, coordinating geometry, prediction, optimization, and validation.
Inference-time alignment method for diffusion models using Fleming-Viot resampling to prevent diversity collapse in SMC sampling.
Benchmark for mathematical reasoning beyond competition math, testing advanced theoretical knowledge and deep mathematical reasoning.
Evaluates LLM-generated disinformation risk by comparing LLM judges to human evaluation, addressing limitations of automated assessment.
Using inductive logic programming to approximate neural networks for user preference learning with explainability.
GUI reasoning paradigm called UI-in-the-Loop for improved UI understanding and interaction, enhancing interpretability in screen-to-action tasks.