Harness Handbook
Open-source handbook on agent harnesses from Tencent, covering auditability and editability of coding agents. Original documentation on AI agent infrastructure.
Open-source handbook on agent harnesses from Tencent, covering auditability and editability of coding agents. Original documentation on AI agent infrastructure.
Video essay on AI market collapse and China's competitive position.
9lives is a self-healing test runner that automatically fixes broken Playwright tests by classifying failures and healing them in tiers, designed to prevent AI agents from unnecessarily rewriting tests.
YC S24 company shipping Scribe (style-learning dictation) and free AI dictation using fine-tuned Llama 3.1 8b.
Technical retrospective on generative spatial AI advances: text-to-mesh, video, 3D models, world generators, CAD integration.
Title only, appears to be spam or placeholder content about unrelated video game industry topic.
Blog post about debugging a coding error. Opinion piece with minimal technical substance.
Personal account of migrating from GitLab to Forgejo due to resource constraints. No technical depth or original research.
Title only. Discusses LLM failure modes involving delusional/circular reasoning in chatbots.
Show HN: GenUI enables AI agents to generate real, interactive SwiftUI interfaces for iOS/macOS instead of text output.
Research on memory requirements for LLMs beyond weight storage.
Title only. Sports content unrelated to tech interests.
Show HN: NoMac builds, tests, and ships iOS apps via cloud Macs without local hardware. Agent-first with TestFlight/App Store integration.
Title only. Personal experience improving AI agent performance without scaling model size.
Meta's AI image detector fails to identify cropped versions of its own generated images.
Research generalizing language models to probabilistic language tries as alternative architecture.
Research on LLM internal reasoning in latent space without generating intermediate text outputs.
Tool to optimize LLM token usage by reducing unnecessary token sends, focusing on cost reduction strategies.
Research paper analyzing LLM probes using Tarski's work, questioning whether truth is directional in model representations.
Email system enabling AI agents to have addresses and respond to emails with unified inbox and optional Vectorize integration on Cloudflare Workers.
Starter template for running ONNX Runtime in browser Web Workers to keep UI thread responsive during model inference on mobile and desktop.
Explores whether AI agents can be creative and interact autonomously, treating agents as model organisms for cultural production rather than tools.
Humorous question about scented candle concept. Off-topic novelty post.
Generic web performance optimization article covering database tuning and user experience metrics.
ADD standard enabling IoT devices to self-describe to AI systems via JSON documents for safe agent integration without custom code.
Technical analysis of LLM temporal reasoning failures and solutions using temporal infrastructure in scheduling agent systems.
Tool converting AI-generated text to natural copy for publishing across content platforms.
Makoto plugin monitoring Claude Code agent tool calls for truthfulness, blocking fabricated actions via integrity verification.
China may restrict foreign access to Chinese open-source AI models.
Analysis of AI infrastructure investment returns and whether $3T spending on AI can be justified economically.
Panel discussion on Industry 5.0 and AI-led decision-making in Indian manufacturing sector.
ZML/LLMD: Self-contained LLM inference server supporting LLaMa/Gemma/Qwen/Mistral across 5 architectures with continuous batching and tool calling.
Meta's new image generation model generates images from Instagram accounts without explicit user consent.
TinyToT: Ollama-compatible inference server using knowledge retrieval and reasoning chains, 97% benchmark score, runs on CPU in <1ms.
AI subscription services raised prices and cut quotas in early 2026, reducing value proposition.
Game theory framework for principal-agent interactions with calibrated forecasts instead of direct action observation.
Framework for solving chance-constrained optimization problems using conformal prediction and quantile methods.
Stain normalization method for histopathology imaging to reduce cross-site variability in deep learning deployment.
Method for joint Bayesian parameter and model order estimation using low-rank tensor decomposition.
Framework for parametric multi-task optimization with non-fixed and infinite task spaces.
Token-domain multiple access scheme using large models for semantic recovery in token communications.
Research on Bayesian deep learning applied to discrete choice models for econometrics and decision-making analysis.
Douglas-Rachford splitting algorithm for distributed and sparse feedback linear quadratic control problems.
Robustness analysis of LLM ranking systems showing top model rankings are sensitive to removing small preference data subsets.
Vision toward energy-efficient domain-specific AI models and agents, addressing sustainability in LLM and AI deployment.
Recovery from linear measurements under sparse adversarial corruption with robustness guarantees beyond exact recovery conditions.
SeFA-Policy improves visuomotor policy learning using selective flow alignment to reduce accumulated error in robotic imitation learning.
Meta-path induced hypergraph contrastive learning method for node importance estimation in heterogeneous knowledge graphs.
Tool bottleneck framework for medical image understanding using vision-language models and specialized tool composition.
Representation-as-a-Judge approach using small language models for efficient evaluation without generation, exploiting semantic capacity asymmetry.