Xuhui Zhou on Twitter / X

Sim — The AI Workspace | Build, Deploy & Manage AI Agents

Sim is the open-source AI workspace where teams build, deploy, and manage AI agents. Connect 1,000+ integrations and every major LLM to create agents that automate real work.

LLM Leaderboard - Comparison of over 100 AI models from OpenAI, Google, DeepSeek & others

Comparison and ranking the performance of over 100 AI models (LLMs) across key metrics including intelligence, price, performance and speed (output speed - tokens per second & latency - TTFT), context window & others.

AI Agents: Key Concepts and How They Overcome LLM Limitations

An AI agent is an autonomous software entity that is often used to augment a large language model. Here's what developers need to know.

Philipp Schmid on Twitter / X

Should we build the web for agents, not agents for the web? 🤔 A new paper argues that current research is misguidedly focuses on improving LLMs leading to significant problems with efficiency, reliability, and safety, proposing a new "Agentic Web Interface" (AWI) that sits on… pic.twitter.com/I90k6kdYdk— Philipp Schmid (@_philschmid) June 14, 2025

Building reliable sim driving agents by scaling self-play

Simulation agents are essential for designing and testing systems that interact with humans, such as autonomous vehicles (AVs). These agents serve various purposes, from benchmarking AV...

Simulating Human Memory with Language Models

Language models are increasingly being deployed as user simulators, but their memory is far more reliable than that of real users. To measure this gap, we run a series of classic memory...

LLM Agents are simply Graph — Tutorial For Dummies

Ever wondered how AI agents actually work behind the scenes?

LLM Agents are simply Graph — Tutorial For Dummies

Ever wondered how AI agents actually work behind the scenes?

David Hendrickson on Twitter / X

🌞This is big Local AI news! A new open-source Computer-Use LLM has just launched. Holo 3.1 is H Company’s (🇫🇷) new local computer-use agent model that beats Qwen3.5-397B, Kimi-K2.5, and Sonnet 4.6!Since it is built for local deployment → ⬩ Runs fully on your machine… https://t.co/CpOEsuWN2k pic.twitter.com/w39iOh7cO1— David Hendrickson (@TeksEdge) June 2, 2026

Supporting Our AI Overlords: Redesigning Data Systems to be Agent-First

Large Language Model (LLM) agents, acting on their users' behalf to manipulate and analyze data, are likely to become the dominant workload for data systems in the future. When working with data,...

Giving LLMs a personality is just good engineering

AI skeptics often argue that current AI systems shouldn’t be so human-like. The idea - most recently expressed in this opinion piece by Nathan Beacom - is that language models should explicitly be tools, like calculators or search engines. Although they can pretend to be people, they shouldn’t, because it encourages users to overestimate AI capabilities and (at worst) slip into AI psychosis. Here’s a representative paragraph from the piece:

Dria on Twitter / X

Introducing Inference Arena v2.0.An agentic experience that searches, analyzes, and delivers insights about LLM inference.When we first launched, our goal was simple: make it easier for developers to compare models, engines, and hardware without digging through scattered… pic.twitter.com/fgWgos48lW— Dria (@driaforall) September 30, 2025

State of AI 2025: 100T Token LLM Usage Study | OpenRouter

Read OpenRouter's 2025 State of AI report — an empirical 100 trillion token study of real LLM usage, model trends, and developer insights.

The lethal trifecta for AI agents: private data, untrusted content, and external communication

If you are a user of LLM systems that use tools (you can call them “AI agents” if you like) it is critically important that you understand the risk of …