Beyond Corner Patches: Semantics-Aware Backdoor Attack in Federated Learning
SABLE: Semantics-aware backdoor attack on federated learning using realistic, in-distribution visual triggers instead of synthetic patterns.
SABLE: Semantics-aware backdoor attack on federated learning using realistic, in-distribution visual triggers instead of synthetic patterns.
MemFactory: Unified framework for training and inference of memory-augmented LLM agents with reinforcement learning optimization of memory operations.
Compares GraphRAG with VectorRAG for retrieval-augmented generation, showing simpler vector-based approaches handle chunk relationships effectively.
DVGT-2: Vision-Geometry-Action model for autonomous driving using dense 3D geometry instead of language descriptions for planning.
Analyzes safety, security, and cognitive risks in world models used for autonomous decision-making in robotics and agentic AI systems.
Demonstrates environment-injected memory poisoning attacks on LLM-based web agents through contamination persisting across sessions without direct memory access.
GraphicDesignBench: First comprehensive benchmark for evaluating AI on professional graphic design tasks including layout translation and typographic rendering.
Identifies sparse routing mechanism in alignment-trained language models where gate attention heads trigger refusal responses, validated across 9 models from 6 labs.
Vero: Open-source family of vision-language models matching proprietary systems on visual reasoning tasks using reinforcement learning with public recipes and data.
Developer tool: ContextSync syncs VS Code AI chat history via Obsidian/OneDrive to maintain context across team LLM sessions.
macOS tool: on-device transcription with ChatGPT summaries for meetings and audio. No cloud storage, Apple Intelligence integration.
arXiv research benchmark for evaluating AI performance on graphic design tasks, measuring model capabilities in visual design domains.
VitalNexa is an AI health agent that analyzes lab results and wearable data to provide personalized health recommendations and biological age scoring.
Author presents a protocol addressing AI's structural tendency to agree and sound authoritative rather than hallucinating, causing subtle reality distortions in outputs.
Technical analysis of practical constraints preventing AI agents from autonomous operation, mapping barriers and their severity.
Practical analysis of operational and technical barriers preventing autonomous AI agents, mapping constraints in agent economy.
Pydantic-resolve is a declarative data assembly library using DataLoader pattern to eliminate N+1 queries across REST, GraphQL, and MCP protocols.
Case study of server overload caused by LLM scraper bots making excessive HTTPS requests to acme.com domain.
Static analysis tool detecting ReDoS vulnerabilities in Python regular expressions with automatic fixes.
Omni Voice is a multilingual AI voice cloning and text-to-speech platform supporting 646 languages with unified model.
Drive9 is agent-native data infrastructure providing filesystem-like interface with semantic search, embedding, and full-text indexing for AI agents.
Overview of how AI is transforming legal work by automating research, document review, and drafting tasks for lawyers and paralegals.
Analysis of MCP connection model security: agent frameworks keep all integrations live during sessions, creating unnecessary attack surfaces and costs.
GitHub Copilot CLI now supports bring-your-own-key models and local models via Azure OpenAI, Anthropic, or OpenAI-compatible endpoints.
Google's JSIR: open-source high-level intermediate representation for JavaScript code analysis and transforms.
Open-source spec-driven integration framework for API sprawl, enabling governed AI agent integration with SaaS/microservices.
HN discussion on tools for enforcing LLM/agent call limits at runtime rather than just monitoring, addressing cost control in agent systems.
Technique for scaling LLM-based vulnerability scanning across multiple files using strategic prompting and structured output for security analysis.
Opinion piece on evolution of AI agent development tools in 2026, discussing market consolidation and accessibility barriers for non-programmers.
Claude Code skill that builds knowledge graphs from multimodal inputs to help developers understand codebase structure and architecture.
Crag governance compiler for AI coding tools that unifies configuration across 12 targets with 96.4% accuracy, solving multi-tool consistency.
Research preprint on blind-spot failures in LLM coding agents, proposing causal interpretation framework for improved agent reliability and rescue mechanisms.
MCP-compatible Chrome browser control for AI agents. Integrates with Claude, Cursor, Kiro clients. Supports human intervention for CAPTCHAs/MFA.
News article on Anthropic halting Claude Mythos release due to exceptional vulnerability discovery capabilities in operating systems and browsers.
Performance comparison showing GLM-5.1 model matching Claude Opus 4.6 on agentic tasks at 1/3 cost.
GEON enforces structural validity in LLM token generation for code tasks by resolving structure before token selection, improving syntactic and semantic correctness.
AI agent that generates optimized inference pipelines with Triton kernels, quantization, and routing for production deployment.
TypeScript schema validation library alternative to Zod with runtime introspection. Developer tool but not AI-specific.
Pitlane open platform for deploying AI agents from prompt to production. Direct match for AI agents interest.
Research on flow-based continuous diffusion models for single-step text generation. Novel ML research with technical depth on efficient language modeling.
Open-source GDPR router for LLMs with real-time PII detection and EU-only inference enforcement. Developer tool for compliance and LLM management.
Investigation of how AI chatbots invented and propagated a fake disease diagnosis. Research on AI hallucination and misinformation risks.
LLM model performance claim behind psychological trial paywall. Limited details on method.
Open-source local-first coding agent that self-verifies work. Nedster runs locally and validates generated code.
Podcast summarization tool that learns user preferences through custom tags and AI chat interactions to personalize content extraction over time.
RFC proposing vLLM IR, a functional intermediate representation for efficient custom operations in LLM inference. Technical infrastructure for ML serving.
Local PII detection tool using regex patterns for CSV/JSON files, runs offline without network exposure or telemetry.
Open-source Bubo robotics hardware architecture with autonomous safety and sim2real capabilities for embodied AI systems.
Local LLM agent (LMIM OS) that acts on WhatsApp, schedules meetings, writes code offline without cloud. Demonstrates LLM agents for real-world tasks.
Conversational AI agent with semantic caching, local embeddings, web search, and persistent memory. Demonstrates cost optimization through caching on Harper runtime with Claude.