3/24/2026
Ask HN: Depending on AI for anything important is a horrible idea, agree?
Discussion prompt asking whether depending on AI for important tasks is risky.
3/24/2026
Update on the OpenAI Foundation
OpenAI Foundation announces funding allocation and mission updates following company recapitalization.
3/24/2026
Powering product discovery in ChatGPT
ChatGPT shopping assistant using Agentic Commerce Protocol for product discovery and comparison.
3/24/2026
Show HN: Overlay map tiles onto Autodesk's 3D BIM Viewer
Open source tool for overlaying map tiles onto Autodesk's 3D BIM Viewer with coordinate transform logic.
3/24/2026
I spent 2 months building a free AgTech app for my 5k-person hometown
Engineer built an AgTech app using satellite imagery and weather data for local farmers. NDVI analysis and machine learning for vineyard management.
3/24/2026
Modular 26.2: Image Generation and Upgraded AI Coding with Mojo
Modular 26.2 release adds image generation/editing workflows and improves Mojo for GPU kernel AI development.
3/24/2026
Show HN: ProofShot – Give AI coding agents eyes to verify the UI they build
ProofShot: CLI tool enabling AI coding agents to view browser output, capture screenshots/video/errors for verification during UI development.
3/24/2026
Show HN: Kern – One agent. One folder. One mind. Every channel
Kern: AI agent framework maintaining single continuous session across CLI, Telegram, Slack with persistent local memory in plain folder.
3/24/2026
Show HN: Prompts Directory for Data Analyst
Prompt repository with curated templates for data analysts covering exploration, cleaning, SQL, dashboards, and visualization.
3/24/2026
Long-Running Sandbox in Dockers for Coding Agents (100% POSIX Compatible)
Sandock: Docker-based sandbox for running AI coding agents with persistent volumes, POSIX compatibility, cost-effective alternative to VMs.
3/24/2026
Ask HN: System Programming as a LLM shelter
Discussion on whether system programming offers refuge from LLM-assisted development trends due to different performance priorities.
3/24/2026
Ask HN: What would it take to provide free AI to the underprivileged?
Discussion on providing free open-source AI access to underprivileged populations in developing regions.
3/24/2026
Ask HN: HSL 0.1 – The Human Source License. Please help refining
Discussion of Human Source License for open source stream processing library built on PyDBSP.
3/24/2026
Expert Personas Improve LLM Alignment but Damage Accuracy
Research showing expert personas improve LLM alignment but reduce accuracy, trade-offs in prompt engineering.
3/24/2026
The 53-Year Evolution of AI Agents: A Comprehensive Reading List
Comprehensive reading list tracing 53-year research lineage of AI agents from 1970s theoretical foundations through modern implementations.
3/24/2026
Show HN: Shard-based scheduling for 100x more fine-tuning experiments on 4 GPUs
Shard-based scheduling system for scaling LLM fine-tuning experiments on limited GPU resources, enabling 100x more experiments on 4 GPUs.
3/24/2026
Releasing my GPU Texas holdem solver (4x faster than piosolver)
GPU-accelerated Texas Hold'em poker solver claiming 4x speedup over existing tools. Domain-specific application, not AI/ML research.
3/24/2026
Financial Benchmarks – Evaling LLMs on Financial Tasks
Benchmark dataset for evaluating LLMs on financial tasks. Minimal content provided but addresses important evaluation gap.
3/24/2026
Some software will become more fragile – not mine
Personal blog rant about software fragility and build tool warnings. No technical insights or data presented.
3/24/2026
Launching My AI-First Publishing CO
Self-promotion for independent publishing company offering 82 books across various topics. No technical content.
3/24/2026
Beyond the Birkhoff Polytope: Spectral-Sphere-Constrained Hyper-Connections
arXiv paper generalizing residual connections into multi-stream hyper-connections with spectral-sphere constraints to maintain identity mapping stability.
3/24/2026
Natural Gradient Descent for Online Continual Learning
arXiv paper on natural gradient descent for online continual learning in image classification addressing catastrophic forgetting in non-i.i.d. data streams.
3/24/2026
Bayesian Scattering: A Principled Baseline for Uncertainty on Image Data
arXiv paper proposing Bayesian scattering as interpretable baseline for uncertainty quantification on image data using wavelet transforms and probabilistic modeling.
3/24/2026
LLM-ODE: Data-driven Discovery of Dynamical Systems with Large Language Models
LLM-based approach for automated discovery of governing equations in dynamical systems, replacing genetic programming with language models for efficiency.
3/24/2026
Enhancing LIME using Neural Decision Trees
Interpretability method combining LIME with neural decision trees for more stable and faithful explanations of complex models on tabular data.
3/24/2026
Discriminative Representation Learning for Clinical Prediction
Clinical prediction framework using discriminative representation learning aligned to outcomes rather than reconstruction objectives.
3/24/2026
Causally-Guided Diffusion for Stable Feature Selection
Feature selection method using causal principles and diffusion models to improve stability under distribution shifts.
3/24/2026
Beyond Expression Similarity: Contrastive Learning Recovers Functional Gene Associations from Protein Interaction Structure
Contrastive learning approach for discovering functional gene associations from protein interaction data, testing PAM framework on molecular biology.
3/24/2026
Understanding Contextual Recall in Transformers: How Finetuning Enables In-Context Reasoning over Pretraining Knowledge
Investigation of how contextual recall emerges in transformers during pretraining vs. finetuning, examining in-context learning mechanisms for fact retrieval.
3/24/2026
Detection of adversarial intent in Human-AI teams using LLMs
Detection framework using LLMs to identify adversarial attacks against human-AI teams, covering data poisoning, prompt injection, and prompt engineering threats.
3/24/2026
From Causal Discovery to Dynamic Causal Inference in Neural Time Series
Method for discovering time-varying causal networks in neural time series without assuming known causal structure a priori.
3/24/2026
Joint Surrogate Learning of Objectives, Constraints, and Sensitivities for Efficient Multi-objective Optimization of Neural Dynamical Systems
Optimization framework using jointly learned surrogate models for multi-objective optimization of neural dynamical systems in biophysical simulations.
3/24/2026
Interpreting the Synchronization Gap: The Hidden Mechanism Inside Diffusion Transformers
Theoretical analysis of synchronization gaps in diffusion transformers using coupled Ornstein-Uhlenbeck systems to explain mode interaction hierarchies in the reverse process.
3/24/2026
Structural Sensitivity in Compressed Transformers: Error Propagation, Lyapunov Stability, and Formally Verified Bounds
Study of sensitivity in compressed transformers across architectures, identifying which components degrade catastrophically vs. compress well, with formal bounds on error propagation.
3/24/2026
Long-Term Outlier Prediction Through Outlier Score Modeling
Novel unsupervised method for long-term outlier prediction in time series data using outlier score modeling.
3/24/2026
When Does Content-Based Routing Work? Representation Requirements for Selective Attention in Hybrid Sequence Models
Analysis of content-based routing in hybrid recurrent-attention architectures through controlled experiments on multiple benchmarks.
3/24/2026
CLT-Forge: A Scalable Library for Cross-Layer Transcoders and Attribution Graphs
CLT-Forge library for mechanistic interpretability of LLMs using cross-layer transcoders and sparse feature attribution graphs.
3/24/2026
Deep Attention-based Sequential Ensemble Learning for BLE-Based Indoor Localization in Care Facilities
Deep attention-based sequential ensemble learning framework for BLE-based indoor localization in care facilities.
3/24/2026
Fuel Consumption Prediction: A Comparative Analysis of Machine Learning Paradigms
Comparative analysis of machine learning approaches for vehicle fuel consumption prediction using Motor Trend dataset.
3/24/2026
Benchmarking Scientific Machine Learning Models for Air Quality Data
Benchmarking physics-guided and deep learning models for air quality index forecasting on standardized datasets.
3/24/2026
Confidence Freeze: Early Success Induces a Metastable Decoupling of Metacognition and Behaviour
Cognitive science study on human decision-making persistence in bandit tasks using confidence-freeze theory.
3/24/2026
Harmful Visual Content Manipulation Matters in Misinformation Detection Under Multimedia Scenarios
Multimodal misinformation detection system addressing visual content manipulation in social media.
3/24/2026
Semi-Supervised Learning with Balanced Deep Representation Distributions
Semi-supervised text classification using self-training with pseudo-labels to improve deep classifier performance on unlabeled data.
3/24/2026
Mixture of Chapters: Scaling Learnt Memory in Transformers
Learnable sparse memory banks with chapter-based routing for scaling knowledge storage in Transformers without prohibitive attention costs.
3/24/2026
ResPrune: Text-Conditioned Subspace Reconstruction for Visual Token Pruning in Large Vision-Language Models
Training-free visual token pruning framework for efficient Vision-Language Model inference through text-conditioned subspace reconstruction.
3/24/2026
DMMRL: Disentangled Multi-Modal Representation Learning via Variational Autoencoders for Molecular Property Prediction
Disentangled multi-modal representation learning via VAEs for molecular property prediction in drug discovery and materials science.
3/24/2026
Learning from Label Proportions with Dual-proportion Constraints
Weakly supervised learning method for classification from bag-level label proportions using dual-proportion constraints.
3/24/2026
Model Evolution Under Zeroth-Order Optimization: A Neural Tangent Kernel Perspective
Theoretical analysis of zeroth-order optimization training dynamics through Neural Tangent Kernel perspective for gradient-free neural network training.
3/24/2026
Pruned Adaptation Modules: A Simple yet Strong Baseline for Continual Foundation Models
Lightweight continual learning method using pruned adaptation modules for foundation models compared against recent FM-based approaches.
3/24/2026
Rethinking Plasticity in Deep Reinforcement Learning
Investigation of plasticity loss in deep reinforcement learning with proposed Optimization-Centric Plasticity hypothesis explaining adaptation dynamics.