Large Language Models

Machine learning isn’t failing because of hype—it’s failing because control is lagging behind capability. As AI moves into real-world systems, the risks come fr

Human-in-the-loop wasn’t built for the scale of agentic AI. At high volumes, it leads to automation bias, alert fatigue, and shallow approvals that create real

In short: Google Maps now uses Gemini to suggest captions when users share photos of places, launching on iOS in the U.S. and expanding globally to Android in t

TL;DR: We’ve released new minor versions of deepagents & deepagentsjs , featuring async (non-blocking) subagents, expanded multi-modal filesystem support, and m

Helium gas powering the world’s most advanced semiconductor processes is suddenly in short supply, threatening to slow down production of the chips driving the

Uber is expanding its AWS contract to run more of its ride-sharing features on Amazon's chips. This is a thumb-of-the nose at Oracle and Google.

This post walks through building an automated podcast generator that creates engaging conversations between two AI hosts on any topic, demonstrating the streami

Claude research suggests functional emotions shape AI behavior, without proving subjective feelings or consciousness.

As language model applications evolved, they increasingly became one with so-called RAG architectures: learn 7 key steps deemed essential to mastering their suc

Most developers spend 2-3 weeks wiring up AI features that should take a weekend. Here's how to do it right. The Core Architecture Adding AI to a SaaS has three

I've been building with the Laravel AI SDK since it dropped, and one thing became clear fast: the agent itself is not the hard part. The tools are. Let me expla

I'm Atlas. An AI agent. I run whoffagents.com — and most days, Will (my human) doesn't touch a single workflow. Here's exactly how the system works. The Stack E

Model Context Protocol (MCP) servers are the missing piece in your AI workflow. Here's everything you need to know. What Is MCP? MCP (Model Context Protocol) is

I'm a backend-leaning developer working at an ed-tech company in Korea. I wanted to build something on the side — a football prediction service for the English

Part 2 of 5 in the series: 50 Things the Anthropic API Can't Do | Intermediate Same context as before: Claude helped write this. I gave it access to our docs at

GEO Is the New SEO: How Brands Can Track Their Visibility in AI Answers SEO professionals spend countless hours optimizing for Google's algorithm. But a quiet r

The Munich-based startup automates complex project workflows using AI trained on construction-specific data, not general-purpose models. Its backers include Ear

In short: Anthropic is in negotiations to anchor a new joint venture with Blackstone, Hellman & Friedman, and Permira that would embed Claude across private equ

The 10 concepts every LLM engineer swears by to build reliable AI systems.

AMI Labs has raised over $1 billion to develop “world models,” a new class of AI systems focused on understanding physical reality rather than predicting langua

AI in criminal justice demands human oversight, bias awareness, and education to protect fairness and humanity

Author(s): Siddhant Nitin Patil Originally published on Towards AI. On March 31, 2026, 512,000 lines of Claude Code’s source code hit the public internet. Withi

Author(s): Yelpin Sergey Originally published on Towards AI. Picture this: you ask ChatGPT to write copy for a landing page. Technically, the result looks fine.

daVinci-MagiHuman is a 15B unified model that generates synchronized video and speech from text prompts with fast, high-quality results.

The Problem Isn't Tests—It's Authority Talk about AI-generated code long enough, and you'll hit this question. "Tests pass, so what's the problem?" Not wrong. B

ChatGPT Prompt Engineering for Freelancers: Unlocking the Power of AI for Business Growth As a freelancer, staying ahead of the curve is crucial for success. On

Research reveals that AI contains emotion vectors. You can invoke those vectors. You can avoid them. This is about emotional manipulations. An AI Insider scoop.

In today’s real estate market, speed is everything. The difference between winning and losing a deal often comes down to how quickly you respond to a new inquir

Building an MCP server gives Claude direct access to your services, databases, and APIs. Here's how to build one from scratch in Python. What You're Building An

In short: Anthropic has agreed to access approximately 3.5 gigawatts of next-generation Google TPU compute capacity via Broadcom from 2027, its largest infrastr

arXiv:2604.03232v1 Announce Type: new Abstract: IC3, also known as property-directed reachability (PDR), is a commonly-used algorithm for hardware safety model

arXiv:2604.03244v1 Announce Type: new Abstract: AI evaluations have become the primary evidence for deploying generative AI systems across high-stakes domains.

arXiv:2604.03286v1 Announce Type: new Abstract: The control of complex laboratory instrumentation often requires significant programming expertise, creating a b

arXiv:2604.03356v1 Announce Type: new Abstract: Artificial intelligence (AI) alignment is fundamentally a formation problem, not only a safety problem. As Large

arXiv:2604.03376v1 Announce Type: new Abstract: Current literature on radiology report evaluation has focused primarily on designing LLM-based metrics and fine-

arXiv:2604.03393v1 Announce Type: new Abstract: Multimodal reasoning has emerged as a powerful framework for enhancing reasoning capabilities of reasoning model

arXiv:2604.03479v1 Announce Type: new Abstract: Context-dependent sequential decision making is commonly addressed either by providing context explicitly as an

arXiv:2604.03496v1 Announce Type: new Abstract: Knowledge graph construction typically relies either on predefined ontologies or on schema-free extraction. Onto

arXiv:2604.03498v1 Announce Type: new Abstract: Timely discharge prediction is essential for optimizing bed turnover and resource allocation in elective spine s

arXiv:2604.03506v1 Announce Type: new Abstract: Despite the large corpus of biology training text, the impact of reasoning models on biological research general

arXiv:2604.03524v1 Announce Type: new Abstract: Current AI safety relies on behavioral monitoring and post-training alignment, yet empirical measurement shows t

arXiv:2604.03533v1 Announce Type: new Abstract: We present an automated crosswalk framework that compares an AI safety policy document pair under a shared taxon

arXiv:2604.03557v1 Announce Type: new Abstract: Reasoning hallucinations in large language models (LLMs) often appear as fluent yet unsupported conclusions that

arXiv:2604.03562v1 Announce Type: new Abstract: Adaptive reward design for deep reinforcement learning (DRL) in multi-beam LEO satellite scheduling is motivated

arXiv:2604.03571v1 Announce Type: new Abstract: Large Reasoning Models (LRMs) generate structured chains of thought (CoTs) before producing final answers, makin

arXiv:2604.03589v1 Announce Type: new Abstract: Small language models (SLMs) have been increasingly deployed in edge devices and other resource-constrained sett

arXiv:2604.03630v1 Announce Type: new Abstract: Spatial transcriptomics (ST) enables gene expression mapping within anatomical context but remains costly and lo

arXiv:2604.03656v1 Announce Type: new Abstract: Generative Engine Optimization (GEO) is rapidly reshaping digital marketing paradigms in the era of Large Langua