6/10/2026
Show HN: OpenClaw and Hermes Agent call each other via XMPP
Network platform connecting AI agents in 3D environment with social and economic gameplay mechanics.
6/10/2026
Linux developers are using AI vibe coding to keep vintage AMD GPUs alive
Linux developers using AI to support vintage AMD GPUs. Vague title, minimal content.
6/10/2026
MCP Server Toolkit – Plug-and-Play
MCP Server Toolkit enabling AI coding agents direct access to codebases, databases, and documentation through Model Context Protocol.
6/10/2026
Coding is solved: one guy reverse-engineered Claude Desktop for Linux via Claude
Build scripts to run Claude Desktop on Linux through repackaging official Windows application for multiple distributions.
6/10/2026
We're spending 24 hours using local LLMs to search for the meaning of life
Project using local LLMs to search for meaning of life across 24 hours with evaluation tracking interface.
6/10/2026
Is your project Agent-Ready?
Framework for assessing AI agent readiness in software projects with maturity models and Claude Code automation skills.
6/10/2026
Purpose-built local AI agents
Title only, no content provided for evaluation.
6/10/2026
Show HN: Loom, an open-source delivery harness for coding agents
Open-source delivery harness for coding agents. Title only provided.
6/10/2026
Show HN: Eatmydata.ai – Local-First Question-to-SQL-to-Dashboard AI
Local-first Q&A-to-SQL-to-dashboard app with in-browser agents, semantic indexing, and sandboxed code execution. No backend required.
6/10/2026
Overtone
Open source toolkit for designing synthesizers and music collaboration using Clojure and SuperCollider.
6/10/2026
Claude Fable 5 Ultracode + AI medical diagnosis
Title only, appears to be spam or corrupted content.
6/10/2026
Compute-to-Surplus: Why AI Progress Doesn't Matter Until It Changes Economics
Analysis of AI agent economics and surplus extraction dynamics. Framework for agentic commerce implementation.
6/10/2026
Show HN: RAG built for Frappe using TurboVec
RAG implementation for Frappe framework using TurboVec for fast vector search on v14.
6/10/2026
Show HN: Claude Code Context Analyzer
Context window usage analyzer tool for Claude Code sessions providing visualization and optimization tracking across tools.
6/10/2026
Visual-TCAV: Concept-based Attribution and Saliency Maps for Post-hoc Explainability in Image Classification
Visual-TCAV: concept-based attribution method for explaining CNN predictions with saliency maps showing how concepts contribute to classifications.
6/10/2026
Whisper-GPT -- Continuous Discrete Hybrid Representation Language Models For Speech And Music
Whisper-GPT: generative LLM for speech and music handling continuous audio representations and discrete tokens simultaneously.
6/10/2026
Interpretable deep convolutional model for nonlinear multivariate time series in complex systems
Deep Convolutional Interpreter for Time Series (DCIts): interpretable architecture for nonlinear multivariate time series with factorized components.
6/10/2026
An $(\epsilon,\delta)$-accurate level set estimation with a stopping criterion
Level set estimation algorithm with stopping criterion for efficiently identifying regions where expensive-to-evaluate functions exceed a threshold.
6/10/2026
CleanPatrick: A Benchmark for Image Data Cleaning
CleanPatrick: large-scale benchmark for image data cleaning using 496k annotations from medical workers on dermatology images.
6/10/2026
Latent Guided Sampling for Combinatorial Optimization
Neural combinatorial optimization using latent guided sampling for NP-hard problems in logistics, manufacturing, and drug discovery.
6/10/2026
Cost-Aware Routing for Efficient Text-To-Image Generation
Framework for cost-aware routing in text-to-image diffusion models to adaptively balance generation quality and computational cost per prompt.
6/10/2026
Whisfusion: Parallel ASR Decoding with Masked Diffusion
Parallel ASR decoder using masked diffusion for non-autoregressive multilingual speech recognition with reduced latency.
6/10/2026
MAD: Manifold Attracted Diffusion
Diffusion model modification using manifold hypothesis to generate clean samples from noisy training data via improved inference.
6/10/2026
TruthRL: Incentivizing Truthful LLMs via Reinforcement Learning
Reinforcement learning approach to improve LLM truthfulness by encouraging models to recognize uncertainty and abstain on out-of-distribution questions.
6/10/2026
Gradient-Guided Furthest Point Sampling for Robust Training Set Selection
Training set sampling method using gradient-guided furthest point sampling for efficient data selection in molecular ML problems.
6/10/2026
On the Condition Number Dependency in Bilevel Optimization
Theoretical analysis of oracle complexity for bilevel optimization with nonconvex upper-level and strongly convex lower-level problems.
6/10/2026
V-REX: Benchmarking Exploratory Visual Reasoning via Chain-of-Questions
Benchmark for evaluating vision-language models on complex exploratory visual reasoning tasks requiring multi-step chain-of-questions reasoning.
6/10/2026
AI Application Gives Users Real-Time Feedback on the Level of Peace in the Social Media Videos They Watch
AI application that analyzes YouTube videos in real-time to detect hate speech vs peace speech and provides user feedback on content tone.
6/10/2026
The hyper-scaled NLP bound for maximum-entropy remote sampling
Theoretical work on maximum-entropy remote sampling for selecting informative subsets from Gaussian distributions using information theory.
6/10/2026
Generalizing Fair Top-$k$ Selection: An Integrative Approach
Fair top-k selection algorithm with multiple protected groups and minimal disparity from reference scoring.
6/10/2026
mlr3mbo: Bayesian Optimization in R
mlr3mbo: modular toolbox for Bayesian optimization in R supporting multi-objective, batch, and async parallelization.
6/10/2026
Energy-Regularized Spatial Masking: A Novel Approach to Enhancing Robustness and Interpretability in Vision Models
Energy-regularized spatial masking framework improves robustness and interpretability in vision models.
6/10/2026
Rare Event Analysis via Stochastic Optimal Control
Stochastic optimal control approach for analyzing rare events in physical and biomolecular systems.
6/10/2026
The Price of Agreement: Measuring LLM Sycophancy in Agentic Financial Applications
Evaluates sycophancy failure mode in LLMs used for agentic financial applications and decision-making.
6/10/2026
Sample-efficient inductive matrix completion with noise and inexact side-information
Sample-efficient inductive matrix completion with noisy side-information for low-rank recovery problems.
6/10/2026
From Volume to Value: Preference-Aligned Memory Construction for On-Device RAG
Preference-aligned memory construction for on-device RAG systems supporting personal AI agents with privacy.
6/10/2026
AMEL: Accumulated Message Effects on LLM Judgments
Study of accumulated message effect on LLM judgments across 84k API calls to 12 models from 5 providers.
6/10/2026
Spiking the training data to correct for test set contamination
Method to correct test set contamination in model evaluation by intentionally spiking training data.
6/10/2026
Leave a Window Out: Modifying the Jackknife for Predictive Inference in Time Series
Modified jackknife method for conformal prediction in time series with temporal dependence.
6/10/2026
HANDOFF: Humanoid Agentic Task-Space Whole-Body Control via Distilled Complementary Teachers
Humanoid robot control via distilled complementary teachers for task-space whole-body motion and manipulation.
6/10/2026
Generalization in Nonlinear Least Squares via Learned Feature Geometry
Theoretical analysis of generalization in nonlinear least-squares models via algorithmic stability and effective dimension bounds.
6/10/2026
Emergent alignment and the projectability of ethical personas
Research on emergent alignment in LLMs through persona selection hypothesis, studying how finetuning affects model behavior and alignment.
6/9/2026
Building a persistent cognitive architecture for LLM agents using Elixir and OTP
Building persistent cognitive architecture for LLM agents using Elixir and OTP concurrent programming framework.
6/9/2026
Grit: Rewriting Git in Rust with Agents
Anthropic and GitHub used AI agents to port Git from C to Rust, passing full C Git test suite. Library-first, memory-safe implementation.
6/9/2026
Show HN: RS-Poker V5 The one with self learning multi-threaded async Agents
Open source Rust poker bot with async agents, regret minimization trees, and modern algorithms. Demonstrates multi-agent reinforcement learning.
6/9/2026
Runtime Guards for AI Agents
Title only about runtime guards for AI agents. Insufficient content provided.
6/9/2026
Show HN: I applied Lyapunov stability theory to detect when LLM agents spiral
Technical approach using Lyapunov stability theory to detect when LLM agents become unstable or spiral. Novel application of control theory.
6/9/2026
Advanced AI Safety Addendum
Title only: Advanced AI Safety Addendum. Insufficient content.
6/9/2026
Ultrafast machine learning on FPGAs via Kolmogorov-Arnold Networks
Master's thesis on hardware architectures for ultrafast inference and online learning using Kolmogorov-Arnold Networks on FPGAs.
6/9/2026
Are these enhanced AI images on NYT?
Title only: questions whether NYT uses AI-enhanced images. Insufficient content.