Agentic reinforcement learning (RL) has emerged as a transformative workload in cloud clusters, enabling large language models (LLMs) to solve complex problems ...
Long conversations with an AI agent create a simple problem for one user: the history is useful, but carrying it verbatim is expensive. We study personalized ag...
Overview When you open your Peacock mobile app this summer, you might see the AI likeness of TV host Andy Cohen pop up on your homepage. In an announcement on...
Error Span Detection (ESD) is a crucial subtask in Machine Translation (MT) evaluation, aiming to identify the location and severity of translation errors. Whil...
Hey HN! We’re Ashwin and Akshay from Spine AI – https://www.getspine.ai What is Spine Swarm? Spine Swarm is a multi‑agent system that works on an infinite visu...
The widespread adoption of reinforcement learning-based alignment highlights the growing importance of reward models. Various benchmarks have been built to eval...
Article URL: https://www.canirun.ai/ Comments URL: https://news.ycombinator.com/item?id=47363754 Points: 61 Comments: 10...
Retrieval‑Augmented Generation RAG and Hybrid Search RAG, also known as Hybrid Search, is a powerful technique for retrieving relevant documents from a corpus...
MCP Plugin · Open Source · MIT Built with Claude, for Claude. How prompt‑caching works Anthropic's caching API stores stable content server‑side for 5 minutes....
Integrating Large Language Models (LLMs) into business process management tools promises to democratize Business Process Model and Notation (BPMN) modeling for ...
Reinforcement learning (RL) has become a standard technique for post-training diffusion-based image synthesis models, as it enables learning from reward signals...
The Perfect Bullshitter This was GPT‑2, maybe early GPT‑3. I was feeding it prompts and getting back text that looked like answers — structured, fluent, confid...
Overview ChatPlayground AI consolidates over 25 popular AI models—including ChatGPT, Gemini, Llama, DeepSeek, Perplexity, and many more—into a single Chrome ex...
Spiking Neural Networks (SNNs) have emerged as a biologically inspired alternative to conventional deep networks, offering event-driven and energy-efficient com...
Play CC Bingo →https://yurukusa.github.io/cc-bingo/ How It Works - Get a randomly generated 5×5 card from the pool of 50 moments - Click/tap squares that have h...
Large language models (LLMs) have demonstrated remarkable capabilities in code generation, yet they underperform on domain-specific tasks such as Computer-Aided...
Multimodal large language model (MLLM) inference splits into two phases with opposing hardware demands: vision encoding is compute-bound, while language generat...
Introduction A new “best model ever” drops every week. Every benchmark promises superhuman performance. Every demo is flawless. Here’s what actually happens wh...
Federated Clustering (FC) is an emerging and promising solution in exploring data distribution patterns from distributed and privacy-protected data in an unsupe...
Introduction As generative AI applications move from prototypes to production systems, developers increasingly face a new architectural challenge: choosing the...
I’ve been working on a protocol called Proof-of-Execution PoE. The idea is simple: AI agents today are evaluated mostly on their outputs, but outputs can be cor...
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Visual design is an essential application of state-of-the-art multi-modal AI systems. Improving these systems requires high-quality vision-language data at scal...
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Introduction To address the wine classification challenge, we shift our objective from predicting a continuous score rating to identifying the categorical iden...
Overview Google Gemini’s task automation is now live on the Galaxy S26 series. The feature lets you issue natural‑language commands—e.g., “Get me a ride to the...
Artificial Intelligence is Transforming Software Development Tasks that once required hours of manual coding—debugging, documentation, refactoring—can now be as...
A few weeks ago I was watching my younger cousin struggle through a physics worksheet. She kept typing questions into ChatGPT, getting a wall of text back, and...
Large Language Model (LLM) inference is widely used in interactive assistants and agentic systems. In latency-sensitive deployments, inference time can become d...
Heart Failure, History, and Modern Management Characterized by weakened or damaged heart musculature, heart failure results in the gradual buildup of fluid in a...
Fargo – A Grandmother’s Fight Against a Mistaken‑Identity Arrest Angela Lipps, a 50‑year‑old grandmother from north‑central Tennessee, spent nearly six months...
FARGO – A Grandmother’s Fight Against a Mistaken Identity Angela Lipps, a 50‑year‑old grandmother from north‑central Tennessee, is trying to rebuild her life a...
The Role of Vector Databases in the Agentic AI Landscape Organizations have been wrestling with this question over the past few months: > What role do vector d...
Optimizing GPU kernels presents a significantly greater challenge for large language models (LLMs) than standard code generation tasks, as it requires understan...
Efficient deep learning traditionally relies on static heuristics like weight magnitude or activation awareness (e.g., Wanda, RIA). While successful in unstruct...
Overview Bumble is testing an AI dating assistant called Bee that aims to help users get on dates without having to swipe through profiles, as reported by Bloo...
Modern neural networks are heavily overparameterized, and pruning, which removes redundant neurons or connections, has emerged as a key approach to compressing ...
New Visualizations in Claude Conversations Anthropic updated Claude so it can automatically generate charts, diagrams, and other interactive visualizations dir...
Autoregressive (AR) video generative models rely on video tokenizers that compress pixels into discrete token sequences. The length of these token sequences is ...
Multimodal Large Language Models (MLLMs) are increasingly used to carry out visual workflows such as navigating GUIs, where the next step depends on verified vi...
Modern visual agents require representations that are general, causal, and physically structured to operate in real-time streaming environments. However, curren...
Unified multimodal models target joint understanding, reasoning, and generation, but current image editing benchmarks are largely confined to natural images and...
Online Video Large Language Models (VideoLLMs) play a critical role in supporting responsive, real-time interaction. Existing methods focus on streaming percept...
Text-to-image generation models have advanced rapidly, yet achieving fine-grained control over generated images remains difficult, largely due to limited unders...
New AI-Powered Tools for Facebook Marketplace Facebook Marketplace is adding a suite of new AI‑powered tools designed to make selling items on the platform mor...
While large-scale diffusion models have revolutionized video synthesis, achieving precise control over both multi-subject identity and multi-granularity motion ...
Humans perceive and understand real-world spaces through a stream of visual observations. Therefore, the ability to streamingly maintain and update spatial evid...
Multi-modal large language models (MLLMs) have advanced general-purpose video understanding but struggle with long, high-resolution videos -- they process every...
