All Articles
17516 articles total
M$^3$: Reframing Training Measures for Discretized Physical Simulations
The M³ framework introduces a Multi-scale Morton Measure to balance training measures in neural surrogate models for physical simulations, reducing error in large-scale cases.
Faster and Simpler Greedy Algorithm for $k$-Median and $k$-Means
A paper proposing a simplified and faster greedy approximation algorithm for k-median and k-means clustering problems.
ContrastiveCFG: Guiding Diffusion Sampling by Contrasting Positive and Negative Concepts
ContrastiveCFG is a novel method for guiding diffusion sampling using contrastive loss to improve negative prompting and sample quality.
Silent Neuron Theory and Plasticity Preservation for Deep Reinforcement Learning in Adaptive Video Streaming
The Silent Neuron theory and ReSiN framework address plasticity loss in deep reinforcement learning for adaptive video streaming, significantly improving QoE.
VOTE: Vision-Language-Action Optimization with Trajectory Ensemble Voting
VOTE is a training and inference framework for Vision-Language-Action (VLA) models that reduces latency and improves performance in robotic manipulation.
Show HN: Getting GLM 5.2 running on my slow computer
A user shares their experience and method for running the GLM 5.2 model on low-specification hardware.
Show HN: Pylon Sync, an agent-first full-stack realtime framework
Introduction of Pylon Sync, a full-stack realtime framework designed with an agent-first approach.
What the New Executive Order Means for Secure Software Delivery in Government
Analysis of a new Executive Order regarding the security requirements for software delivery within government agencies.
Google will now tell you if an ad was made with AI
Google is introducing labels to identify advertisements that were created or edited using generative AI tools.
Power and Limitations of Aggregation in Compound AI Systems
Research exploring the power and limitations of aggregating multiple model responses in compound AI systems to expand output capabilities.
EMO-R3: Reflective Reinforcement Learning for Emotional Reasoning in Multimodal Large Language Models
Introduction of EMO-R3, a framework that uses reflective reinforcement learning to improve emotional reasoning in multimodal LLMs.
Anomaly detection in time-series via inductive biases in the latent space of conditional normalizing flows
A new method for anomaly detection in time-series data using conditional normalizing flows and latent space inductive biases.
Measuring the metacognition of AI
A methodological study proposing the meta-d' framework and signal detection theory to measure the metacognitive abilities of AI systems.
Participatory provenance as representational auditing for AI-mediated public consultation
Introduction of a framework for auditing AI-mediated public consultations to ensure faithful representation of input, including an open-source tool.
Terminus-4B: Can a Smaller Model Replace Frontier LLMs at Agentic Execution Tasks?
Terminus-4B, a fine-tuned small language model, is shown to potentially replace frontier LLMs for specialized agentic terminal execution tasks.
Train SIM Created by Just One Person Is Being Called the Best Ever Made
A discussion on a train simulation created by a single individual that is being praised as one of the best ever made.
Why the Next Era of AI Is About Infrastructure, Not Just Models
An exploration of why the next phase of AI development will focus more on the underlying infrastructure than just improving the models themselves.
Show HN: Abralo – Free, easy way to run several Claude Code agents in one window
Abralo is a free tool that allows developers to run multiple Claude Code agents within a single window for improved efficiency.
Meta enters the crowded AI coding battle with Muse Spark 1.1
Meta has released Muse Spark 1.1, an AI coding assistant designed to compete with offerings from Anthropic and OpenAI.
Charles Hudson shares the common mistakes he’s seen after investing in 500+ startups
Investor Charles Hudson discusses common mistakes early-stage founders make when seeking funding for startups.