Large Language Models

arXiv:2603.21879v2 Announce Type: replace-cross Abstract: Weather forecasting supports critical socioeconomic activities and complements environmental protectio

Key Takeaways Universal Claude.md can cut token use by up to 63%, which means you actually spend way less money using LLMs. Developers are fed up with prompt ha

Key Takeaways Devs have been quietly frustrated with Claude’s overly polite, wordy answers for a while. Trimming Claude’s output isn’t just about saving tokens,

Key Takeaways Devs are using Universal Claude.md to cut down Claude's wordiness and save on tokens, which means lower API bills. Cutting Claude’s longer answers

Key Takeaways An open-source tool called Claude.md just helped someone cut their AI token costs by 63%, which is wild. Most LLMs like Claude spit out a ton of u

The AI landscape is experiencing unprecedented growth and transformation. This post delves into the key developments shaping the future of artificial intelligen

Six weeks ago I gave my AI assistant a memory . It worked. No more re-explaining the project every session. Bugs got fixed once and stayed fixed. Then it follow

Users are flocking to Duck.ai. Is it a reaction to increasing concerns about AI companies and privacy? Here's what you should know.

Crow-9B-HERETIC is a 9-billion-parameter language model built on the Qwen 3.5 architecture and distilled from Claude Opus 4.6. The model excels at reasoning tas

The benchmark itself isn't the solution. It's the beginning of a new research direction, one forced by reality rather than chosen by preference. Models that loo

AI systems don’t “understand” your company—they reconstruct it from public signals. When those signals are fragmented, outdated, or inconsistent, AI outputs bec

According to a Quinnipiac University poll, 15% of Americans say they'd be willing to have a job where their direct supervisor was an AI program that assigned ta

LiteLLM had obtained two security compliance certifications via Delve and fell victim to some horrific credential-stealing malware last week.

This article is divided into three parts; they are: • How Attention Works During Prefill • The Decode Phase of LLM Inference • KV Cache: How to Make Decode More

Another iPhone update has just reached its first developer beta. There was a chance it would include the first glimpse of the brand-new Siri, but so far there’s

The AI landscape is experiencing unprecedented growth and transformation. This post delves into the key developments shaping the future of artificial intelligen

You send your AI agent a message. The upstream model returns a 429 — rate limited, try again later. Your agent framework dutifully retries. And retries. And ret

4 core pillars to get cited within AI searches You must shift your strategy from traditional SEO to Generative Engine Optimization (GEO). AI engines do not read

We shipped the AI layer for Kobin today — an agency operating system that replaces Slack, Notion, HubSpot, Linear, and Buffer. This is the technical story of ho

The current wave of investment in artificial intelligence reflects one of the largest capital shifts in modern technology, yet questions around financial return

Five frontier models were given a 31-message email thread. They were asked to tell us what was decided, who owns what, and what changed. None of them got all of

Lightview is an open-source UI toolkit designed to enable safe collaboration between large language models and developers. By introducing a sandboxed computatio

This article explains how agentic AI is transforming data engineering by shifting systems from batch-based analytics to real-time, context-driven architectures.

New orgs! New types of models! With Nemotron Super, Sarvam, Cohere Transcribe, & others

The startup, which is planning to go public later this year, designs chips specifically for AI inference, another challenger to Nvidia's dominance.

OpenAI abandoned Instant Checkout the same week with conversions at 1/3 retailer site rates. Same AI generation, opposite results: the gap is not about the mode

Are there any genies that can be put back in the bottle?

Sara A. Metwalli on the rise of a promising new technology, the effects of LLM on her work, and more. The post Why Data Scientists Should Care About Quantum Com

Why Google's new AI user agent may be tied to shift of resources from Project Mariner To Gemini Agent The post Why New Google-Agent May Be A Pivot Related To Op

phi-1.5 is a 1.3B-parameter Transformer trained mainly on synthetic, textbook-quality data. Despite its small size, it matches or beats much larger models on co

The standalone app, built on the AT Protocol and powered by Anthropic’s Claude, was unveiled at the ATmosphere conference by Jay Graber, who stepped back from B

AI factories are emerging as the model for building, deploying and improving AI at scale, and they could become a major source of competitive advantage for comp

arXiv:2603.25747v1 Announce Type: new Abstract: The rapid evolution of Large Multimodal Models (LMMs) has enabled agents to perform complex digital and physical

arXiv:2603.26005v1 Announce Type: new Abstract: The growing availability of building operational data motivates the use of reinforcement learning (RL), which ca

arXiv:2603.26266v1 Announce Type: new Abstract: Large vision-language models have endowed GUI agents with strong general capabilities for interface understandin

arXiv:2603.26499v1 Announce Type: new Abstract: Existing research has identified three structural performance bottlenecks in AI research agents: (1) synchronous

arXiv:2603.26512v1 Announce Type: new Abstract: Existing methods for text-to-CAD generation either operate in a single pass with no geometric verification or re

arXiv:2603.26535v1 Announce Type: new Abstract: We propose Process-Aware Policy Optimization (PAPO), a method that integrates process-level evaluation into Grou

arXiv:2603.25750v1 Announce Type: cross Abstract: As the paradigm of AI shifts from text-based LLMs to Speech Language Models (SLMs), there is a growing demand

arXiv:2603.25764v1 Announce Type: cross Abstract: As LLM-based agents are deployed in production systems, understanding their behavioral consistency (whether th

arXiv:2603.25766v1 Announce Type: cross Abstract: The integration of Vision-Language-Action (VLA) models into autonomous driving systems offers a unified framew

arXiv:2603.25768v1 Announce Type: cross Abstract: Functional verification remains a critical bottleneck in modern IC development cycles, accounting for approxim

arXiv:2603.25769v1 Announce Type: cross Abstract: Large language models (LLMs) have shown promise in generating RTL code from natural-language descriptions, but

arXiv:2603.25770v1 Announce Type: cross Abstract: Large Language Models (LLMs) have recently emerged as capable coding assistants that operate over large codeba

arXiv:2603.25771v1 Announce Type: cross Abstract: Reinforcement learning (RL), owing to its adaptability to various dynamic systems in many real-world scenarios

arXiv:2603.25796v1 Announce Type: cross Abstract: We provide explicit, finite-sample guarantees for learning causal representations from data with a sublinear n

arXiv:2603.25813v1 Announce Type: cross Abstract: We present MAGNET (Model Autonomously Growing Network), a decentralized system for autonomous generation, trai

arXiv:2603.25823v1 Announce Type: cross Abstract: Beneath the stunning visual fidelity of modern AIGC models lies a "logical desert", where systems fail tasks t