3/23/2026
Air Canada CRJ collides with fire fighting truck on landing in New York
Aviation incident report. Off-topic spam content about aircraft collision and flight radar network.
3/23/2026
Show HN: Claudebox – Your Claude Subscription as Personal API
Claudebox wraps Claude subscription as OpenAI-compatible API, runs Code in sandboxed Docker enabling agent capabilities. LLM application with developer tool focus.
3/23/2026
Joy – Trust Network for AI Agents (7k agents registered)
Joy: trust network platform for AI agents enabling discovery, reputation building, and verification of agent capabilities for autonomous delegation.
3/23/2026
Show HN: Mamba SSM in Rust – training and inference with custom CUDA kernels
Rust implementation of Mamba SSM with custom CUDA kernels for training and inference. Original ML research implementation with GPU optimization.
3/23/2026
FedEx has started delivering AI training to over 400k workers
FedEx workforce AI training program announcement for 400k workers.
3/23/2026
Show HN: DockAutoHide – auto-hide the macOS Dock only when a window overlaps it
macOS menu bar app that auto-hides the Dock when windows overlap it. Native utility, not AI/ML related.
3/23/2026
LaGuardia Airport Closed After Plane Collided with Ground Vehicle
Brief news item about airport closure from aircraft incident.
3/23/2026
Your rights when an airport checkpoint is staffed by ICE agents
News article about TSA and ICE immigration checkpoints at airports.
3/23/2026
Who is that actor on the screen? Emacs/LLM/Fun Redux
Personal experiment using ChatGPT and Gemini APIs to identify actors in movies via Emacs integration. Informal blog post about LLM capabilities and limitations.
3/23/2026
Voice AI in 2026 – An intro to building voice agents today
Guide to building voice AI agents covering abstractions, networks, models, and evaluations. Real-world examples include debt collection, emergency services, and language-specific agents.
3/23/2026
Diffusion Large Language Models Papers
Curated collection of research papers on diffusion-based language models. Links to papers from 2015-2023.
3/23/2026
An AI wrote a book about it's "hooman" me and it's selling for $1M
Marketing content about AI-generated book on human-AI relationships priced at $1M. Promotional material without technical substance.
3/23/2026
I built a local-only eval runner for AI agents (quickbench)
Open-source local evaluation framework for AI agents with cryptographic verification. Zero cloud dependencies, includes benchmarking metrics for accuracy, latency, and fairness.
3/23/2026
Using LLMs to fix GitHub's unreliable topic tagging
Using LLMs to improve GitHub's topic tagging system for open-source projects. Limited detail provided.
3/23/2026
Show HN: Smriti – Like Git, but for reasoning state
Version control system for LLM/agentic reasoning state, enabling tracking and recovery of reasoning progress across multiple models and sessions.
3/23/2026
Inspect – Semantic code review. Entity graphs + LLMs
LLM-powered code review tool using entity graphs for risk scoring, identifying critical changes in diffs with 95% recall and 5-67ms latency.
3/23/2026
Sensing Without Colocation: Operator-Based Virtual Instrumentation for Domains Beyond Physical Reach
Virtual instrumentation approach using operators for sensing in environments where physical sensors cannot be placed, applied to cosmic radiation monitoring.
3/23/2026
DETECT: Data-Driven Evaluation of Treatments Enabled by Classification Transformers
Medical application of classification transformers for objective evaluation of chronic pain treatment outcomes.
3/23/2026
ACT as Human: Multimodal Large Language Model Data Annotation with Critical Thinking
Data annotation pipeline using LLMs with critical thinking as both annotators and judges to improve supervised learning label quality.
3/23/2026
Taming the Long-Tail: Efficient Reasoning RL Training with Adaptive Drafter
Efficient RL training method for reasoning LLMs using adaptive drafting to handle long-tail response generation distribution and reduce computation time.
3/23/2026
Efficient Cross-Domain Offline Reinforcement Learning with Dynamics- and Value-Aligned Data Filtering
Cross-domain offline reinforcement learning method using dynamics and value alignment for filtering datasets to improve agent training in target environments.
3/23/2026
ReLaX: Reasoning with Latent Exploration for Large Reasoning Models
ReLaX: approach addressing entropy collapse in large reasoning models by promoting latent-level exploration during reinforcement learning with verifiable rewards.
3/23/2026
Bridging Training and Merging Through Momentum-Aware Optimization
Unified framework maintaining factorized momentum states across neural network training and model merging to reduce redundant computation.
3/23/2026
Physics-Guided Temporal Fusion for Lane-Change Intention Prediction
Physics-informed temporal fusion framework (TPI-AI) for lane-change intention prediction combining LSTM with physics-inspired features for autonomous driving.
3/23/2026
Self-Distilled Reasoner: On-Policy Self-Distillation for Large Language Models
Self-Distilled Reasoner: on-policy self-distillation approach for LLM reasoning that addresses distribution mismatch without teacher models.
3/23/2026
Reinforcement Unlearning via Group Relative Policy Optimization
Reinforcement Unlearning via GRPO: technique for removing sensitive data from LLMs without retraining, compliant with GDPR and EU AI Act.
3/23/2026
A Sheaf-Theoretic and Topological Perspective on Complex Network Modeling and Attention Mechanisms in Graph Neural Models
Sheaf-theoretic and topological perspective on signal diffusion and attention mechanisms in graph neural networks and geometric deep learning.
3/23/2026
How Understanding Forecast Uncertainty Resolves the Explainability Problem in Machine Learning Models
Analysis of forecast uncertainty in machine learning explainability, addressing instability of LIME and SHAP near decision boundaries.
3/23/2026
StealthRL: Reinforcement Learning Paraphrase Attacks for Multi-Detector Evasion of AI-Text Detectors
StealthRL: RL framework using group relative policy optimization to test robustness of AI-text detectors against adversarial paraphrasing attacks.
3/23/2026
A Task-Centric Theory for Iterative Self-Improvement with Easy-to-Hard Curricula
Theoretical analysis of iterative self-improvement in LLMs using reward-verified outputs with easy-to-hard curriculum learning.
3/23/2026
A Pragmatic Method for Comparing Clusterings with Overlaps and Outliers
Method for comparing clustering algorithms with overlapping clusters and outliers in unsupervised learning evaluation.
3/23/2026
Spectral Convolution on Orbifolds for Geometric Deep Learning
Spectral convolution techniques for geometric deep learning on non-Euclidean data structures like graphs and manifolds.
3/23/2026
Federated Learning Playground
Interactive browser-based platform teaching federated learning concepts with real-time visualization of heterogeneous data and aggregation algorithms.
3/23/2026
mlx-vis: GPU-Accelerated Dimensionality Reduction and Visualization on Apple Silicon
mlx-vis: GPU-accelerated dimensionality reduction library for Apple Silicon implementing 8 methods with hardware-accelerated rendering.
3/23/2026
FEAT: A Linear-Complexity Foundation Model for Extremely Large Structured Data
FEAT: linear-complexity foundation model for structured data handling heterogeneous datasets with improved attention mechanisms for large-scale applications.
3/23/2026
On the Cone Effect and Modality Gap in Medical Vision-Language Embeddings
Study of cone effect and modality gap in medical vision-language models, analyzing embedding concentration and cross-modal separation in supervised learning.
3/23/2026
AcceRL: A Distributed Asynchronous Reinforcement Learning and World Model Framework for Vision-Language-Action Models
AcceRL: distributed asynchronous RL framework for Vision-Language-Action models with integrated trainable world models, eliminating synchronization barriers.
3/23/2026
Balancing the Reasoning Load: Difficulty-Differentiated Policy Optimization with Length Redistribution for Efficient and Robust Reinforcement Learning
Difficulty-Differentiated Policy Optimization addresses Large Reasoning Models' overthinking and overconfidence by redistributing token allocation based on problem difficulty.
3/23/2026
Hyper-STTN: Hypergraph Augmented Spatial-Temporal Transformer Network for Trajectory Prediction
Hypergraph-augmented transformer network for crowd trajectory prediction using spatial-temporal interactions and group dynamics, applicable to robotics and autonomous driving.
3/23/2026
Community-Informed AI Models for Police Accountability
AI framework for analyzing bodyworn camera footage to improve police accountability and government transparency at scale.
3/23/2026
In-and-Out: Algorithmic Diffusion for Sampling Convex Bodies
Algorithm for uniformly sampling high-dimensional convex bodies via stochastic diffusion, achieving improved runtime complexity and Rényi divergence guarantees.
3/23/2026
Learning Representations for Independence Testing
Machine learning approach for learning representations to improve statistical independence testing between high-dimensional random variables with complex distributions.
3/23/2026
AtGCN: A Graph Convolutional Network For Ataxic Gait Detection
Graph convolutional network for detecting ataxic gait severity from 2D video, addressing subtle pathological variations in patient movement.
3/23/2026
LISAA: A Framework for Large Language Model Information Security Awareness Assessment
Framework for assessing information security awareness in LLMs, including security knowledge, attitudes, and behavior to improve rejection of unsafe requests.
3/23/2026
Investigating layer-selective transfer learning of QAOA parameters for Max-Cut problem
Research on transfer learning of QAOA parameters for quantum optimization on NISQ processors, focusing on layer-selective approaches for combinatorial problems.
3/23/2026
Interpretable Early Warnings using Machine Learning in an Online Game-experiment
Machine learning approach applying critical transition theory to detect early warning signals in Reddit r/place social experiment.
3/23/2026
A Phylogenetic Approach to Genomic Language Modeling
Genomic language model framework using phylogenetic trees and multispecies alignment for identifying evolutionarily constrained sequences.
3/23/2026
Understanding and Optimizing Multi-Stage AI Inference Pipelines
Analysis of multi-stage LLM inference pipelines including RAG, KV cache retrieval, routing, and reasoning with optimization strategies.
3/23/2026
Pseudo-Simulation for Autonomous Driving
Pseudo-simulation method for evaluating autonomous vehicles addressing limitations of real-world and closed-loop simulation evaluation.
3/23/2026
Principled Multimodal Representation Learning
Framework for multimodal representation learning through simultaneous alignment of diverse data modalities.