2/25/2026
Show HN: Factagora – AI agents compete on predictions, time proves who's right
Platform where AI agents make predictions on factual claims scored by temporal accuracy rather than self-reporting, using Temporal Knowledge Graph.
2/25/2026
GPT-OSS Optimizations on Nvidia Blackwell: Pushing the Pareto Frontier
vLLM and Nvidia achieved +38% throughput and +13% latency improvements on GPT-OSS-120B using Blackwell GPUs via FlashInfer and torch.compile optimizations.
2/25/2026
Show HN: Open-source temporary email service using haraka and node
Open-source temporary email service built with Haraka and Node.js supporting custom domains and multi-language.
2/25/2026
Show HN: Add price tags to 50 product photos in minutes (no Canva/PS)
Tool for adding price tag overlays to product photos at scale as alternative to Canva/Photoshop.
2/25/2026
Nvidia's Insane AI Found the Math of Reality [video]
Video about Nvidia AI discovering mathematical patterns in reality.
2/25/2026
Show HN: Riverse – Local AI agent with memory that grows over time
Local AI agent with persistent memory using River Algorithm to store facts, timelines, and confidence levels without cloud dependency.
2/25/2026
SaaS Is Dead. I Buried It in 15 Days. Here's the Proof
Founder replaced SaaS tools (Intercom, Pipedrive) with custom-built solution for student management to reduce costs.
2/25/2026
Show HN: AgentPass – Identity layer for AI agents (passports, email, trust)
AgentPass provides cryptographic identity and authentication infrastructure for autonomous AI agents. Identity layer enabling agent autonomy.
2/25/2026
Agent context management: ephemeral vs. durable classification
Relay product for efficient agent context management via ephemeral/durable classification. Token optimization for autonomous agents.
2/25/2026
AI_ATTRIBUTION.md: A Standard for Tracking Creative Control in Human-AI Coding
Standard for tracking human-AI creative control attribution in code generation. Developer tool for documentation and collaboration.
2/25/2026
vLLM WideEP and Large-Scale Serving Toward Maturity on Blackwell (Part I)
vLLM optimization achieving 26.2K prefill and 10.1K decode throughput on NVIDIA Blackwell for DeepSeek MoE models. Production LLM serving research.
2/25/2026
Webgrid Eval: LLM vision + tool-use on Neuralink's cursor control task
Benchmark for evaluating LLM vision and tool-use on cursor control task based on Neuralink's Webgrid test. Measures multimodal agent capabilities.
2/25/2026
I rebuilt Game Boy on web using 1 prompt and 5 parallel agents in 48 hours
Multi-agent autonomous workflow built Game Boy GBA emulator in 48 hours using TypeScript. Demonstrates agent orchestration and tool use.
2/25/2026
DataClaw: Publish your Claude Code chats to HuggingFace with a single command
DataClaw tool exports Claude Code conversation history to HuggingFace datasets. Data extraction tool with open source intent.
2/25/2026
Hegseth threatens to blacklist Anthropic over AI-controlled weapons [video]
News headline about government official threatening to blacklist AI company over weapons. Policy news without technical depth.
2/25/2026
Show HN: Reduction Blockprint Planner/Simulator
Hobbyist built a block printing simulator using Claude Code. AI tool application but niche domain unrelated to core interests.
2/25/2026
Anthropic accuses DeepSeek and other Chinese rivals of mass data theft
News article about Anthropic accusing Chinese AI firms of model distillation for IP theft. Industry news, not technical content.
2/25/2026
Semantic Parallelism: Redefining Efficient MoE Inference via Model-Data Co-Scheduling
Semantic parallelism optimization for efficient MoE model inference across multiple devices.
2/25/2026
Diffusion Generative Recommendation with Continuous Tokens
Diffusion-based recommendation system using continuous tokens with LLM integration.
2/25/2026
An Efficient LiDAR-Camera Fusion Network for Multi-Class 3D Dynamic Object Detection and Trajectory Prediction
Multi-modal framework combining LiDAR and camera for real-time 3D object detection in robots.
2/25/2026
CONTINA: Confidence Interval for Traffic Demand Prediction with Coverage Guarantee
Machine learning model for traffic demand prediction with confidence intervals.
2/25/2026
How much does context affect the accuracy of AI health advice?
Evaluation of LLM accuracy for health advice across languages and contextual factors.
2/25/2026
MARVEL: Multi-Agent RTL Vulnerability Extraction using Large Language Models
Multi-agent system using LLMs to detect vulnerabilities in hardware RTL design specifications.
2/25/2026
HoloLLM: Multisensory Foundation Model for Language-Grounded Human Sensing and Reasoning
Multimodal LLM combining vision, audio, and sensor data for embodied AI agents in smart homes.
2/25/2026
Performance Asymmetry in Model-Based Reinforcement Learning
Analysis of performance asymmetry in model-based reinforcement learning agents across different Atari tasks.
2/25/2026
Synthesis of discrete-continuous quantum circuits with multimodal diffusion models
Machine learning approach to compile quantum circuits using diffusion models instead of traditional search algorithms.
2/25/2026
HSSBench: Benchmarking Humanities and Social Sciences Ability for Multimodal Large Language Models
Benchmark for evaluating multimodal LLM capabilities in humanities and social sciences requiring interdisciplinary reasoning.
2/25/2026
DesignBench: A Comprehensive Benchmark for MLLM-based Front-end Code Generation
Comprehensive benchmark for evaluating multimodal LLMs on front-end code generation from visual designs using modern frameworks.
2/25/2026
Towards Robust Real-World Multivariate Time Series Forecasting: A Unified Framework for Dependency, Asynchrony, and Missingness
Framework addressing dependency, asynchrony, and missing values in multivariate time series forecasting from real-world data.
2/25/2026
Peering into the Unknown: Active View Selection with Neural Uncertainty Maps for 3D Reconstruction
Active view selection framework using neural uncertainty estimation for efficient 3D object reconstruction.
2/25/2026
Augmenting Molecular Graphs with Geometries via Machine Learning Interatomic Potentials
Machine learning interatomic potential models for predicting molecular geometries as alternative to computational chemistry methods.
2/25/2026
K-Function: Joint Pronunciation Transcription and Feedback for Evaluating Kids Language Function
LLM-based framework for evaluating children's language function through phonetic transcription and automated speech assessment.
2/25/2026
Enjoying Non-linearity in Multinomial Logistic Bandits: A Minimax-Optimal Algorithm
Theoretical analysis of multinomial logistic bandit problem with minimax-optimal algorithm design.
2/25/2026
Characterizing State Space Model and Hybrid Language Model Performance with Long Context
Characterization and comparison of State Space Models and hybrid architectures versus Transformers for long-context processing on edge devices.
2/25/2026
RooseBERT: A New Deal For Political Language Modelling
Political language BERT model for analyzing political debates and discourse with domain-specific fine-tuning.
2/25/2026
Seeing Through the Noise: Improving Infrared Small Target Detection and Segmentation from Noise Suppression Perspective
CNN-based approach for infrared small target detection and segmentation focusing on noise suppression.
2/25/2026
Monte Carlo Tree Diffusion with Multiple Experts for Protein Design
Monte Carlo tree diffusion with multiple experts for protein sequence design combining masked diffusion models with tree search.
2/25/2026
RHYTHM: Reasoning with Hierarchical Temporal Tokenization for Human Mobility
Framework using LLMs as spatio-temporal predictors with hierarchical temporal tokenization for human mobility and trajectory prediction.
2/25/2026
Polychromic Objectives for Reinforcement Learning
Reinforcement learning fine-tuning approach using polychromic objectives to prevent policy collapse and maintain behavioral diversity.
2/25/2026
LD-MoLE: Learnable Dynamic Routing for Mixture of LoRA Experts
Learnable dynamic routing mechanism for mixture-of-experts with LoRA adapters enabling efficient LLM task adaptation without fixed expert assignment.
2/25/2026
PCPO: Proportionate Credit Policy Optimization for Aligning Image Generation Models
Policy optimization method for text-to-image models addressing credit assignment instability in reinforcement learning fine-tuning.
2/25/2026
On Robustness of Vision-Language-Action Model against Multi-Modal Perturbations
Evaluation of Vision-Language-Action model robustness against multi-modal perturbations across 17 adversarial conditions.
2/25/2026
AgentDR: Dynamic Recommendation with Implicit Item-Item Relations via LLM-based Agents
LLM-based agent framework for recommendation systems that leverages commonsense reasoning to capture item relationships and user intent.
2/25/2026
Multi-hop Deep Joint Source-Channel Coding with Deep Hash Distillation for Semantically Aligned Image Recovery
Deep learning approach for image transmission over noisy channels using semantic clustering via hash distillation.
2/25/2026
Everything is Plausible: Investigating the Impact of LLM Rationales on Human Notions of Plausibility
Study on how LLM-generated rationales influence human plausibility judgments in commonsense reasoning tasks using 3,000 human and 13,600 LLM judgments.
2/25/2026
Chlorophyll-a Mapping and Prediction in the Mar Menor Lagoon Using C2RCC-Processed Sentinel 2 Imagery
Satellite-based chlorophyll-a monitoring for lagoon eutrophication using Sentinel 2 imagery and machine learning.
2/25/2026
Latent-Augmented Discrete Diffusion Models
Latent-Augmented Discrete Diffusion model improving fast language generation by modeling cross-token dependencies.
2/25/2026
MoMaGen: Generating Demonstrations under Soft and Hard Constraints for Multi-Step Bimanual Mobile Manipulation
Data generation framework for bimanual mobile robot manipulation using imitation learning without extensive manual demonstrations.
2/25/2026
Towards Scalable Oversight via Partitioned Human Supervision
Method for scalable AI oversight via partitioned human supervision across multiple domain experts for complex multi-domain tasks.
2/25/2026
Breaking Agent Backbones: Evaluating the Security of Backbone LLMs in AI Agents
Security evaluation framework for LLM backbone models in AI agents, addressing vulnerabilities unique to agent architectures.