3/25/2026
Show HN: Dirsv – dir browser, battery packed Markdown previewers
Single-binary directory browser with live Markdown preview and syntax highlighting for code files.
3/25/2026
Teaching AI to Verify Sources
Technique to make LLMs verify their own source citations before output using AST parsing to detect hallucinations.
3/25/2026
Release PiClaw v1.6.5 – WarGames
Error page with no content.
3/25/2026
Vibe physics: The AI grad student
Physics professor uses Claude AI to complete theoretical physics research calculation end-to-end without manual intervention.
3/25/2026
Show HN: Apfel - Apple Intelligence from the Command Line
Swift CLI tool exposing Apple's built-in language model via FoundationModels framework. Single-file, ~540 lines, runs on Mac Neural Engine without API keys or dependencies.
3/25/2026
Litmus – Flight recorder for AI agents (record and replay any LLM execution)
Litmus enables recording and deterministic replay of AI agent executions including LLM and tool calls for debugging and testing, supports 14+ providers.
3/25/2026
AI requirements could drive an increase in smartphone storage capacity by 2026
Report predicts smartphone storage capacity will increase by 2026 due to AI demand despite rising NAND Flash prices.
3/25/2026
Show HN: Building a WhatsApp API with 0 markup on Meta pricing
Zernio, a unified API platform for social media integrations, adds WhatsApp support after 9 months of development.
3/25/2026
Show HN: Clampd – Your AI agent can DROP TABLE. We block it in <10ms
Clampd provides runtime security for AI agents by inspecting and blocking dangerous database queries, API calls, and shell commands in under 25ms.
3/25/2026
Jax-LM: Language Modelling and Distributed Training in Jax
Guide implementing language models from scratch in JAX with distributed training across multiple GPUs/TPUs, based on Stanford CS336.
3/25/2026
Who is liable when the AI decides?
Samsung announces plans for autonomous AI-powered manufacturing by 2030.
3/25/2026
Exclusive eBook: Are we ready to hand AI agents the keys?
Subscriber-only eBook discussing AI agent autonomy and safety concerns with expert perspectives.
3/25/2026
Hyperagents – Self-referential self-improving agents
Self-referential AI agents that optimize themselves for arbitrary computable tasks with experiment logging and code generation.
3/25/2026
Show HN: I've ditched paper todo lists
Shared household task planner separating undated and dated tasks for household management.
3/25/2026
Show HN: Chronos a Drag-and-Drop Scheduler
Chronos is a drag-and-drop task scheduler with UI-first design, built with AI assistance.
3/25/2026
I built a free on-device photo search for Windows – natural language, no cloud
Local Windows application for natural language photo search without cloud uploads, processing terabytes on-device.
3/25/2026
Show HN: Vesper – MCP-native tool that automates dataset prep for AI agents
Vesper is an MCP-native tool enabling AI agents to autonomously search, download, clean, and export datasets from Kaggle, HuggingFace, and OpenML without human intervention.
3/25/2026
Welcome to IBM Bob: Your AI-Powered Development Partner
IBM Bob is an AI development partner integrated into codebases with customizable modes for code assistance and quality improvements.
3/25/2026
ToolTrust Scanner – detect backdoored MCP packages (litellm 1.82.8)
ToolTrust Scanner detects security vulnerabilities in MCP packages, including prompt injection and supply chain exploits, before AI agents execute them.
3/25/2026
Show HN: Pixelbeat – A pixel-art terminal music player daemon written in Rust
Pixelbeat is a Rust-based terminal music player daemon with pixel-art UI for coding sessions.
3/25/2026
Ask HN: Is anyone here giving their MCP server a code execution environment?
Discussion on giving MCP servers code execution capability to handle complex data processing tasks like analyzing high-frequency wearable sensor streams without manual aggregation.
3/25/2026
CRP: An Open Protocol for Multi-Threaded Cognitive Perception in AI Systems
Proposal for an open protocol called CRP for cognitive perception in AI systems with pattern recognition capabilities.
3/25/2026
Using AI as a Design Engineer
Personal experience using AI as a design engineering tool for experimentation and iterative refinement in creative work.
3/25/2026
Beyond Preset Identities: How Agents Form Stances and Boundaries in Generative Societies
Framework for studying how LLM-based agents form stable stances and identities in multiagent communities using virtual ethnography methods.
3/25/2026
Bilevel Autoresearch: Meta-Autoresearching Itself
Bilevel autoresearch applying automated research loops to optimize autoresearch systems themselves, improving bottlenecks iteratively.
3/25/2026
Automated Microservice Pattern Instance Detection Using Infrastructure-as-Code Artifacts and Large Language Models
Using LLMs to detect microservice architecture patterns from Infrastructure-as-Code artifacts for documentation purposes.
3/25/2026
Founder effects shape the evolutionary dynamics of multimodality in open LLM families
Analysis of 1.8M Hugging Face models tracking how multimodal capabilities emerge and propagate across open LLM families.
3/25/2026
Evaluating Prompting Strategies for Chart Question Answering with Large Language Models
Systematic evaluation of four prompting strategies across GPT models on chart-based question answering, isolating prompt structure effects.
3/25/2026
MERIT: Memory-Enhanced Retrieval for Interpretable Knowledge Tracing
MERIT system combining memory and retrieval mechanisms with LLMs for interpretable knowledge tracing in educational settings.
3/25/2026
Beyond Hard Constraints: Budget-Conditioned Reachability For Safe Offline Reinforcement Learning
Safety-constrained offline reinforcement learning using reachability analysis for sequential decision making in real-world applications.
3/25/2026
TIPS: Turn-Level Information-Potential Reward Shaping for Search-Augmented LLMs
TIPS framework for training search-augmented LLMs with reinforcement learning, improving credit assignment and reward shaping for question answering tasks.
3/25/2026
Efficient Embedding-based Synthetic Data Generation for Complex Reasoning Tasks
Methods for generating high-quality synthetic training data using LLMs to fine-tune smaller models, analyzing diversity and distribution in embedding space.
3/25/2026
Whether, Not Which: Mechanistic Interpretability Reveals Dissociable Affect Reception and Emotion Categorization in LLMs
Mechanistic interpretability study investigating whether LLMs develop genuine emotional representations or merely detect emotion keywords through circuit analysis.
3/25/2026
Between the Layers Lies the Truth: Uncertainty Estimation in LLMs Using Intra-Layer Local Information Scores
Compact uncertainty estimation method for LLMs scoring cross-layer agreement patterns in internal representations via single forward pass.
3/25/2026
Scaling Attention via Feature Sparsity
Sparse Feature Attention method reducing transformer self-attention cost via k-sparse feature representations instead of sequence-level sparsity.
3/25/2026
Latent Semantic Manifolds in Large Language Models
Mathematical framework interpreting LLM hidden states as points on latent semantic manifolds with Riemannian geometry and Voronoi partitions.
3/25/2026
Sample Transform Cost-Based Training-Free Hallucination Detector for Large Language Models
Training-free hallucination detector for LLMs using sample transform cost to measure output distribution complexity without fine-tuning.
3/25/2026
CN-Buzz2Portfolio: A Chinese-Market Dataset and Benchmark for LLM-Based Macro and Sector Asset Allocation from Daily Trending Financial News
Chinese financial news dataset and benchmark for evaluating LLM-based agents in macro and sector asset allocation decision-making.
3/25/2026
UniFluids: Unified Neural Operator Learning with Conditional Flow-matching
Conditional flow-matching framework using diffusion Transformers to unify learning of PDE solution operators across varying dimensionality.
3/25/2026
A Multi-Modal CNN-LSTM Framework with Multi-Head Attention and Focal Loss for Real-Time Elderly Fall Detection
CNN-LSTM framework with attention and focal loss for detecting falls in elderly individuals from multimodal sensor data.
3/25/2026
Enhancing AI-Based Tropical Cyclone Track and Intensity Forecasting via Systematic Bias Correction
AI-based tropical cyclone track and intensity forecasting with systematic bias correction on weather data.
3/25/2026
Emergency Preemption Without Online Exploration: A Decision Transformer Approach
Decision Transformer approach for optimizing emergency vehicle signal preemption using offline, return-conditioned sequence modeling.
3/25/2026
ST-GDance++: A Scalable Spatial-Temporal Diffusion for Long-Duration Group Choreography
Diffusion model for generating synchronized group dance choreography from music with spatial coordination for film/gaming.
3/25/2026
Geometric Mixture-of-Experts with Curvature-Guided Adaptive Routing for Graph Representation Learning
Geometric Mixture-of-Experts framework for graph representation learning using curvature-guided routing on heterogeneous topologies.
3/25/2026
Sparsely-Supervised Data Assimilation via Physics-Informed Schr\"odinger Bridge
Physics-informed Schrödinger bridge approach for data assimilation from sparse observations in PDE-governed systems.
3/25/2026
From Instructions to Assistance: a Dataset Aligning Instruction Manuals with Assembly Videos for Evaluating Multimodal LLMs
Dataset aligning instruction manuals with assembly videos for evaluating multimodal LLMs on real-world technical tasks.
3/25/2026
AEGIS: An Operational Infrastructure for Post-Market Governance of Adaptive Medical AI Under US and EU Regulations
AEGIS infrastructure for governance of adaptive medical AI systems under FDA and EU regulations with continuous improvement.
3/25/2026
A Multi-Task Targeted Learning Framework for Lithium-Ion Battery State-of-Health and Remaining Useful Life
Multi-task deep learning framework for predicting lithium-ion battery state-of-health and remaining useful life.
3/25/2026
DAQ: Delta-Aware Quantization for Post-Training LLM Weight Compression
Delta-Aware Quantization framework for post-training LLM compression that preserves knowledge from alignment fine-tuning.
3/25/2026
A Direct Classification Approach for Reliable Wind Ramp Event Forecasting under Severe Class Imbalance
Classification approach for wind power ramp event forecasting under severe class imbalance for grid stability.