Most web agents today drive a browser one action at a time. The model receives the current page state — […]
Category: Staff
NVIDIA AI Releases Gated DeltaNet-2: A Linear Attention Layer That Decouples Erase and Write in the Delta Rule
Linear attention replaces the unbounded KV cache of softmax attention with a fixed-size recurrent state. This cuts sequence mixing to […]
Tencent Open-Sources TencentDB Agent Memory: A 4-Tier Local Memory Pipeline for AI Agents
Tencent has released TencentDB Agent Memory, an open-source memory system for AI agents. The project ships under the MIT license. […]
Build a SuperClaude Framework Workflow with Commands, Agents, Modes, and Session Memory
In this tutorial, we build an advanced workflow using the SuperClaude Framework as a structured layer on top of the […]
Nous Research Releases Contrastive Neuron Attribution (CNA): Sparse MLP Circuit Steering Without SAE Training or Weight Modification
Instruction-tuned language models refuse harmful requests. But which part of the model is actually responsible — and how does that […]
Perplexity Open-Sources Bumblebee: A Read-Only Supply-Chain Scanner for Developer Endpoints
Attackers increasingly target the packages, editor extensions, and AI tool configs on developer machines and not just production systems. Perplexity […]
Microsoft Releases Fara1.5: A Family of Browser Computer-Use Agents (4B/9B/27B) That Outperform OpenAI Operator and Gemini 2.5 Computer Use on Online-Mind2Web
Microsoft Research’s AI Frontiers lab released Fara1.5. It is a family of computer-use agent (CUA) models for the browser. The […]
Build Recurrent-Depth Transformers with OpenMythos for MLA, GQA, Sparse MoE, and Loop-Scaled Reasoning
In this tutorial, we explore OpenMythos by building an advanced recurrent-depth transformer workflow that runs end-to-end in Google Colab. We […]
How CopilotKit Is Redefining the Agentic AI Stack in 2026
For years, AI inside software meant a chat widget bolted onto the corner of an application. You typed, the model […]
Qwen Introduces Qwen3.7-Max: A Reasoning Agent Model With a 1M-Token Context Window
Most AI models today are not designed for sustained, multi-step autonomous execution. Tasks like running hundreds of iterative code modifications, […]
