Large Language Models

Arcee is a tiny 26-person U.S. startup that built a high-performing, massive, open source LLM. And it's gaining popularity with OpenClaw users.

Multi-agent RL does not mainly have a modeling problem. It has a systems-design problem. Real-world coordination needs explicit task stages, selective communica

A viral post about an AI chief of staff signals something bigger than productivity software. It signals a new class of worker.

The industry is obsessed with agents and prompting. That focus is not wrong—but it is incomplete. Real production systems require architecture, determinism, int

Real-world data often includes significant obstacles, such as privacy concerns, restrictions imposed by regulations, and sheer scarcity. This is where Synthetic

🚀 I Created Free GenAI & ML Notes for Beginners (Hinglish + English+Practical) Hey developers 👋 I’ve been learning Machine Learning and Generative AI, and

From Consumer to Creator: It's Time to Build Your Own AI We're living in the golden age of AI consumption. Every week brings new announcements: GPT-5 teasers, C

Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie This week, Google DeepMind released Gemma 4, and

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

Every AI session starts cold. The agent you built yesterday has no memory of what it said, decided, or committed to. But how bad is it actually — and does it ma

We believe that 2026 must be the year of coordination and orchestration of AI agents so we invest our spare time to build something really amazing! Would love t

The AI lab's Project Glasswing will bring together Apple, Google, and more than 45 other organizations. They'll use the new Claude Mythos Preview model to test

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

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-