2/26/2026
Show HN: Tiqd – a checklist library for life tasks
Tiqd: checklist library app for life tasks like visas and moving. Lifestyle tool with no AI/ML component.
2/26/2026
Show HN: Sonde – Open-source LLM analytics (track brand mentions across LLMs)
Graph analysis of Telegram user gift networks. Not AI/ML related.
2/26/2026
Workers on training AI to do their jobs
Discusses methods for OSS maintainers to enforce coding standards in AI-assisted contributions.
2/26/2026
Air defence in Kyiv visible on ISS video stream [video]
Discussion on workers training AI systems for their own job replacement. Social commentary.
2/26/2026
CodeSpeak, next-generation programming language powered by LLMs
Open-source analytics platform tracking brand mentions across LLM outputs and responses.
2/26/2026
Does Agents.md Help Coding Agents?
ISS video showing air defense activity in Kyiv. Not AI/ML related.
2/26/2026
Show HN: ContextUI open sourced – Local first AI workflows for humans and agents
Analysis piece on bottlenecks in exponential AI output growth. Limited technical depth.
2/26/2026
Programming Without People: Designing a Language for LLMs
Research on designing programming languages optimized for LLM code generation and interaction.
2/26/2026
Show HN: Slack MCP Server v2.0.0 (deterministic Slack MCP diagnostics)
Slack MCP Server v2.0.0 with deterministic diagnostics and stable tool contracts. AI agent infrastructure for Slack integration.
2/26/2026
Show HN: Compression API for LLM prompts (40-60% token savings, ~5ms overhead)
API for compressing LLM prompts achieving 40-60% token savings with minimal overhead.
2/26/2026
Frontier Model Training Methodologies
Article title about frontier model training methodologies. No content for evaluation.
2/26/2026
I fine-tuned a 14B model to beat GPT-4o at NYT Connections (30% vs. 22.7%)
Fine-tuned 14B model achieving 30% accuracy on NYT Connections puzzle vs GPT-4o's 22.7%. Original ML benchmark result.
2/26/2026
AI and the Dream: Technology in the Service of Humanity
LMStudio tool for loading and using local LLM models remotely with end-to-end encryption.
2/26/2026
Physics-based simulator for distributed LLM training and inference
Physics-based simulator for distributed LLM training and inference optimization.
2/26/2026
Tell HN: Silent Netcup Domain Registrar DNSSEC Failure
Netcup domain registrar DNSSEC infrastructure failure causing DS record mismatches. Technical but unrelated to AI/ML interests.
2/26/2026
Small Models Can Introspect, Too
Open-source 32B model demonstrates introspection capabilities through logit analysis. Improved prompting enhances performance on detecting injected concepts in activations.
2/26/2026
OpenAI Codex and Figma launch seamless code-to-design experience
OpenAI Codex and Figma integration using MCP standard to enable code-to-design bidirectional conversion. Uses AI agents to interface with external systems.
2/26/2026
A Distributional Treatment of Real2Sim2Real for Object-Centric Agent Adaptation in Vision-Driven Deformable Linear Object Manipulation
Real2Sim2Real framework for deformable linear object manipulation using likelihood-free inference and visual perception for robotic agents.
2/26/2026
QCS-ADME: Quantum Circuit Search for Drug Property Prediction with Imbalanced Data and Regression Adaptation
Quantum machine learning framework for predicting ADME drug properties using quantum circuit search with imbalanced data handling.
2/26/2026
Measuring AI Ability to Complete Long Software Tasks
Proposes metric measuring AI ability to complete long software tasks by comparing model performance to human domain expert completion time.
2/26/2026
High-Fidelity And Complex Test Data Generation For Google SQL Code Generation Services
Test data generation method for SQL code generation services using high-fidelity synthetic data to model complex data structures and semantic relationships.
2/26/2026
Discrete Optimal Transport and Voice Conversion
kDOT: discrete optimal transport framework for voice conversion using barycentric projection in pretrained speech embedding space instead of averaging strategies.
2/26/2026
BARREL: Boundary-Aware Reasoning for Factual and Reliable LRMs
BARREL identifies pathological reasoning patterns in Large Reasoning Models and improves factual reliability. Enables models to admit ignorance instead of confident false answers.
2/26/2026
Knowledge Fusion of Large Language Models Via Modular SkillPacks
Knowledge fusion method for LLMs via modular SkillPacks. Enables efficient cross-capability transfer for multi-task integration, compression, and continual learning.
2/26/2026
Hyperbolic recurrent neural network as the first type of non-Euclidean neural quantum state ansatz
First non-Euclidean neural quantum state ansatz using hyperbolic GRU for Variational Monte Carlo approximation of quantum many-body ground states.
2/26/2026
Highly Efficient and Effective LLMs with Multi-Boolean Architectures
Novel multi-Boolean architecture for weight-binarized LLMs. Framework with multi-kernel Boolean parameters reduces complexity without severe post-training performance loss.
2/26/2026
Spurious Rewards: Rethinking Training Signals in RLVR
Shows RLVR with GRPO can improve LLM mathematical reasoning using spurious rewards with little/no correlation to correct answers, challenging reward signal assumptions.
2/26/2026
Blameless Users in a Clean Room: Defining Copyright Protection for Generative Models
Establishes foundations for provable copyright protection in generative models. Revisits near access-freeness and defines conditions for copyright guarantee.
2/26/2026
A Comprehensive Benchmark for Electrocardiogram Time-Series
Comprehensive benchmark for ECG time-series data addressing unique characteristics and specialized downstream applications of bioelectrical signals.
2/26/2026
CASCADE: LLM-Powered JavaScript Deobfuscator at Google
CASCADE: hybrid LLM-powered JavaScript deobfuscator at Google combining Gemini coding capabilities with compiler IR transformations for code comprehension.
2/26/2026
Position: Beyond Sensitive Attributes, ML Fairness Should Quantify Structural Injustice via Social Determinants
Position paper arguing ML fairness research should quantify structural injustice via social determinants rather than focusing only on sensitive attributes.
2/26/2026
Do LLMs Adhere to Label Definitions? Examining Their Receptivity to External Label Definitions
Controlled experiments examining whether LLMs incorporate external label definitions or rely on parametric knowledge. Tests expert-curated, LLM-generated, and perturbed definitions.
2/26/2026
MedicalPatchNet: A Patch-Based Self-Explainable AI Architecture for Chest X-ray Classification
MedicalPatchNet: self-explainable architecture for chest X-ray classification using patch-based independent classification and aggregation for transparency.
2/26/2026
PeruMedQA: Benchmarking Large Language Models (LLMs) on Peruvian Medical Exams -- Dataset Construction and Evaluation
PeruMedQA benchmark dataset of Peruvian medical exam questions in Spanish. Evaluates LLM performance on non-English, Latin American medical domain tasks.
2/26/2026
Synthetic vs. Real Training Data for Visual Navigation
Investigates sim-to-real gap in visual navigation by comparing simulator-trained and real-world-trained policies. Demonstrates simulator policies can match real-world performance.
2/26/2026
Aligning Audio Captions with Human Preferences
Preference-aligned audio captioning framework using RLHF with CLAP-based reward model trained on human-labeled preferences. Addresses gap between supervised learning and real preferences.
2/26/2026
Diversity Boosts AI-Generated Text Detection
DivEye detector for AI-generated text using diversity metrics. Improves detection of synthetic text while providing interpretability over black-box classifiers.
2/26/2026
Minimax Rates for Learning Pairwise Interactions in Attention-Style Models
Theoretical analysis proving minimax convergence rates for learning pairwise interactions in single-layer attention models. Rate independent of embedding dimension and token count.
2/26/2026
MoMaGen: Generating Demonstrations under Soft and Hard Constraints for Multi-Step Bimanual Mobile Manipulation
Automated data generation framework for multi-step bimanual mobile manipulation tasks. Uses imitation learning to reduce costly human teleoperation data collection.
2/26/2026
Multimodal Datasets with Controllable Mutual Information
Framework for generating multimodal datasets with controllable mutual information between modalities. Enables systematic study of MI estimators and multimodal self-supervised learning.
2/26/2026
ATLAS: Adaptive Transfer Scaling Laws for Multilingual Pretraining, Finetuning, and Decoding the Curse of Multilinguality
Largest multilingual scaling laws study with 774 experiments across 400+ languages. Introduces Adaptive Transfer Scaling Law (ATLAS) for monolingual and multilingual pretraining.
2/26/2026
Massive Memorization with Hundreds of Trillions of Parameters for Sequential Transducer Generative Recommenders
Sequential transducer model for recommendation systems handling ultra-long user histories. Explores memorization with transformer-like architecture at scale.
2/26/2026
Heuristic Adaptation of Potentially Misspecified Domain Support for Likelihood-Free Inference in Stochastic Dynamical Systems
Likelihood-free inference approach adapting domain support for stochastic systems. Addresses misspecified support in robotics agent deployment scenarios.
2/26/2026
World Simulation with Video Foundation Models for Physical AI
Cosmos-Predict2.5 foundation model for world simulation unifying text/image/video generation. Leverages vision-language model for grounded physical AI predictions.
2/26/2026
A Proof of Learning Rate Transfer under $\mu$P
Theoretical proof that optimal learning rates transfer across widths in MLPs with μP parameterization. Shows learning rate converges to nonzero constant at infinite width.
2/26/2026
Nonstabilizerness Estimation using Graph Neural Networks
Graph neural network approach for estimating nonstabilizerness in quantum circuits. Addresses quantum advantage through stabilizer Rényi entropy estimation.
2/26/2026
KD-OCT: Efficient Knowledge Distillation for Clinical-Grade Retinal OCT Classification
Knowledge distillation approach for efficient retinal OCT classification models. Reduces computational demands while maintaining clinical-grade performance.
2/26/2026
XtraLight-MedMamba for Classification of Neoplastic Tubular Adenomas
Deep learning model for classifying neoplastic tubular adenomas in colonoscopy. Uses Mamba architecture for digital pathology and colorectal cancer risk stratification.
2/26/2026
EExApp: GNN-Based Reinforcement Learning for Radio Unit Energy Optimization in 5G O-RAN
Deep reinforcement learning application for 5G RAN energy optimization. Uses GNN-based agent to optimize radio unit sleep scheduling and resource slicing.
2/26/2026
Think like a Scientist: Physics-guided LLM Agent for Equation Discovery
LLM agent for symbolic equation discovery using multi-step scientific reasoning. Guides model through hypothesis formation, data analysis, and equation validation.