4/2/2026
Show HN: Zabbix MCP Server – 225 tools to let AI agents manage Zabbix monitoring
Minimal information provided; appears to be mythology-related content.
4/2/2026
SmallestAI Integrated with N8n
Open source MCP server exposing 225 Zabbix API tools for AI assistants to manage monitoring infrastructure via Model Context Protocol.
4/2/2026
Powering the agents: Workers AI now runs large models, starting with Kimi K2.5
Cloudflare Workers AI adds support for large language models including Kimi K2.5, with infrastructure for building and deploying AI agents at scale.
4/2/2026
I handed over my dating life to AI. I don't think she'll see me again
Minimal information provided about Playcanvas and Gracia 4dgs project.
4/2/2026
AI Slop Detector
AI data quality and model collapse prevention through smart data pruning pipeline instead of post-training hallucination detection.
4/2/2026
Meta Adaptive Ranking Model: Bending the Inference Scaling Curve to Serve Models
Free tool for running standardized UX questionnaires (SUS, UEQ, UMUX-Lite, NASA-TLX) with visualization.
4/2/2026
Lemonade by AMD: a fast and open source local LLM server using GPU and NPU
AMD Lemonade: open source local LLM server for GPU/NPU with 2MB footprint, OpenAI API compatible, prioritizing privacy and offline execution.
4/2/2026
Why I'm Building Another AI Meeting Notes Tool Instead of Using Granola.ai
Developer discusses building alternative to Granola.ai meeting notes tool with broader accessibility for non-corporate users.
4/2/2026
Most Claude Code advice is measurably wrong
Discussion claiming most advice from Claude Code AI assistant is measurably inaccurate.
4/2/2026
Codex now offers more flexible pricing for teams
OpenAI acquires TBPN media company to amplify AI conversation among builders and influencers.
4/2/2026
Desktop pet companion built from Claude Code's leaked /buddy system
Desktop pet companion application built using Claude Code's system prompts.
4/2/2026
Show HN: Osint of I-80 for EV site selection. Finding 10MW spots
Appears to be spam/corrupted content about Airtable and EV site selection with mixed advertising elements.
4/2/2026
WebGPU Bench
WebGPU benchmarking tool with minimal description.
4/2/2026
WebGPU in WASM via Emscripten (Or Dawn)
Emscripten system library enabling WebGPU access from C/C++ code compiled to WebAssembly.
4/2/2026
Show HN: Agentmatic, AI marketing platform that generates full campaigns for you
Agentmatic is an AI agent platform that generates full marketing campaigns from prompts with persistent brand memory across sessions.
4/2/2026
Show HN: Memsearch – Persistent, cross-agent, cross-session memory for AI agents
Memsearch provides persistent cross-session semantic memory for AI coding agents with zero-configuration plugin installation.
4/2/2026
Ask HN: How are you choosing the model when using pi.dev?
Ask HN: Users share experiences selecting LLM models for agentic software development lifecycle with specific use cases.
4/2/2026
Show HN: SideX – VS Code rebuilt on Tauri instead of Electron (96% smaller)
SideX: Tauri-based VS Code port replacing Electron with native backend, 96% smaller with early-stage open source development.
4/2/2026
Making Sense of AI Agents Hype: Adoption, Architectures, and Takeaways from Practitioners
Analysis of 138 practitioner conference talks examining how companies adopt AI agent architectures, architectural patterns, and LLM-driven agentic system implementation.
4/2/2026
Diversity-Aware Reverse Kullback-Leibler Divergence for Large Language Model Distillation
arXiv paper: Diversity-aware RKL divergence improves LLM distillation by focusing on dominant modes in teacher-student training.
4/2/2026
MAC-Attention: a Match-Amend-Complete Scheme for Fast and Accurate Attention Computation
MAC-Attention: acceleration technique for long-context LLM decoding by reusing prior attention computations for semantically similar tokens without compression.
4/2/2026
REM-CTX: Automated Peer Review via Reinforcement Learning with Auxiliary Context
REM-CTX: RL-based peer review system using 8B LLM with Group Relative Policy Optimization, incorporating visual figures and scholarly context.
4/2/2026
Hierarchical Apprenticeship Learning from Imperfect Demonstrations with Evolving Rewards
Apprenticeship learning approach for inducing pedagogical policies from imperfect, evolving student demonstrations in e-learning environments.
4/2/2026
LLM Essay Scoring Under Holistic and Analytic Rubrics: Prompt Effects and Bias
Systematic evaluation of LLMs for educational essay scoring across holistic and analytic rubrics, analyzing human alignment and bias.
4/2/2026
Benchmarking Interaction, Beyond Policy: a Reproducible Benchmark for Collaborative Instance Object Navigation
QAsk-Nav benchmark for evaluating embodied agents combining navigation and dialogue-based question-asking for collaborative object finding tasks.
4/2/2026
Hybrid Energy-Based Models for Physical AI: Provably Stable Identification of Port-Hamiltonian Dynamics
Energy-based models framework for physical system identification with formal stability guarantees, applying to Port-Hamiltonian dynamics.
4/2/2026
The Geometry of Compromise: Unlocking Generative Capabilities via Controllable Modality Alignment
Research on reducing modality gap in Vision-Language Models like CLIP through geometric analysis to improve cross-modal tasks like captioning and clustering.
4/2/2026
VeriAct: Beyond Verifiability -- Agentic Synthesis of Correct and Complete Formal Specifications
VeriAct: agentic system for synthesizing correct and complete formal specifications using LLMs beyond just verifier-passing output.
4/2/2026
SANA I2I: A Text Free Flow Matching Framework for Paired Image to Image Translation with a Case Study in Fetal MRI Artifact Reduction
SANA-I2I: text-free flow matching framework for paired image-to-image translation with application to fetal MRI artifact reduction.
4/2/2026
Asymmetric Actor-Critic for Multi-turn LLM Agents
Asymmetric Actor-Critic method for improving reliability of multi-turn LLM agents in one-shot settings without requiring model retraining.
4/2/2026
Robust Multimodal Safety via Conditional Decoding
CASA: conditional decoding strategy for robust multimodal safety in MLLMs against cross-modal attacks.
4/2/2026
Prompt-Guided Prefiltering for VLM Image Compression
Prompt-guided image compression for Vision-Language Models optimized for downstream VLM tasks rather than human perception.
4/2/2026
The Persistent Vulnerability of Aligned AI Systems
Research on vulnerabilities in aligned AI agents with filesystem and email access; introduces ACDC for automated circuit discovery in transformers.
4/2/2026
RAGShield: Provenance-Verified Defense-in-Depth Against Knowledge Base Poisoning in Government Retrieval-Augmented Generation Systems
RAGShield: five-layer defense against knowledge base poisoning attacks in RAG systems deployed across federal agencies.
4/2/2026
EvolveTool-Bench: Evaluating the Quality of LLM-Generated Tool Libraries as Software Artifacts
EvolveTool-Bench: diagnostic benchmark for evaluating quality of LLM-generated tool libraries as software artifacts in engineering workflows.
4/2/2026
Deep Networks Favor Simple Data
Research on out-of-distribution anomaly where deep models assign higher density to simple OOD data than in-distribution test data.
4/2/2026
Improving Generalization of Deep Learning for Brain Metastases Segmentation Across Institutions
Domain adaptation framework for brain metastases segmentation across multiple medical institutions with different imaging protocols.
4/2/2026
COTTA: Context-Aware Transfer Adaptation for Trajectory Prediction in Autonomous Driving
Transfer learning approach for trajectory prediction in autonomous driving handling domain shift across different regional driving patterns.
4/2/2026
Learning Humanoid Navigation from Human Data
System enabling humanoid robot navigation in unseen environments using diffusion models trained on 5 hours of human walking video without robot data.
4/2/2026
G-Drift MIA: Membership Inference via Gradient-Induced Feature Drift in LLMs
Privacy attack method using gradient-induced feature drift to infer membership in LLM training data without relying on output probabilities.
4/2/2026
Polysemanticity or Polysemy? Lexical Identity Confounds Superposition Metrics
Analysis of neuron polysemy in neural networks, decomposing superposition metrics to separate lexical overlap from concept compression.
4/2/2026
First Logit Boosting: Visual Grounding Method to Mitigate Object Hallucination in Large Vision-Language Models
Method to mitigate object hallucination in Vision-Language Models through visual grounding using logit boosting without retraining.
4/2/2026
Not My Truce: Personality Differences in AI-Mediated Workplace Negotiation
Study examining how personality traits moderate effectiveness of AI-driven conversational coaching in workplace negotiation scenarios.
4/2/2026
Executing as You Generate: Hiding Execution Latency in LLM Code Generation
Technique to reduce LLM code generation latency by executing code incrementally as tokens are generated, eliminating idle waiting periods.
4/2/2026
A Reasoning-Enabled Vision-Language Foundation Model for Chest X-ray Interpretation
Vision-Language foundation model for chest X-ray interpretation providing explicit reasoning about visual evidence and diagnostic predictions.
4/2/2026
Towards Initialization-dependent and Non-vacuous Generalization Bounds for Overparameterized Shallow Neural Networks
Theoretical analysis of generalization bounds for overparameterized neural networks using distance from initialization as an explanatory factor.
4/2/2026
MOON3.0: Reasoning-aware Multimodal Representation Learning for E-commerce Product Understanding
Multimodal LLM approach for e-commerce product understanding that captures fine-grained attributes through reasoning-aware representation learning.
4/2/2026
MAESIL: Masked Autoencoder for Enhanced Self-supervised Medical Image Learning
Self-supervised learning framework using masked autoencoders for 3D medical imaging, addressing domain shift from natural image pretraining.
4/2/2026
Toward Optimal Sampling Rate Selection and Unbiased Classification for Precise Animal Activity Recognition
Deep learning approach for animal activity recognition from wearable sensors, optimizing sampling rates and addressing class-specific classification accuracy.
4/2/2026
Think, Act, Build: An Agentic Framework with Vision Language Models for Zero-Shot 3D Visual Grounding
Agentic framework combining Vision-Language Models with iterative reasoning for zero-shot 3D visual grounding from natural language descriptions.