Agentic AI

Agentic AI AI Infrastructure

Qwen AI Releases Qwen-Scope: An Open-Source Sparse AutoEncoders (SAE) Suite That Turns LLM Internal Features into Practical Development Tools
ByRicardo May 2, 2026

Large language fashions are remarkably succesful, but frustratingly opaque. When a mannequin misbehaves — producing responses within the mistaken language, repeating itself endlessly, or refusing protected requests — AI devs have only a few instruments to diagnose why it occurred on the stage of inside computations. That’s the issue Qwen-Scope is constructed to unravel. Qwen…

Read More Qwen AI Releases Qwen-Scope: An Open-Source Sparse AutoEncoders (SAE) Suite That Turns LLM Internal Features into Practical Development Tools
Agentic AI AI Shorts

A Coding Deep Dive into Agentic UI, Generative UI, State Synchronization, and Interrupt-Driven Approval Flows
ByRicardo May 1, 2026

In this tutorial, we construct your entire Agentic UI stack from the bottom up utilizing plain Python, with out counting on exterior frameworks to summary away the core concepts. We implement the AG-UI occasion stream to make agent conduct observable in actual time, and we herald A2UI as a declarative layer that enables interfaces to…

Read More A Coding Deep Dive into Agentic UI, Generative UI, State Synchronization, and Interrupt-Driven Approval Flows
Agentic AI AI Infrastructure

Moonshot AI Open-Sources FlashKDA: CUTLASS Kernels for Kimi Delta Attention with Variable-Length Batching and H20 Benchmarks
ByRicardo May 1, 2026

The group behind Kimi.ai (Moonshot AI) simply made a major contribution to the open-source AI infrastructure area. The analysis group has made a major contribution to the open-source AI infrastructure area. They launched FlashKDA (Flash Kimi Delta Attention), a high-performance CUTLASS-based kernel implementation of the Kimi Delta Attention (KDA) mechanism. The FlashKDA library is offered…

Read More Moonshot AI Open-Sources FlashKDA: CUTLASS Kernels for Kimi Delta Attention with Variable-Length Batching and H20 Benchmarks
Agentic AI AI Agents

Cursor Introduces a TypeScript SDK for Building Programmatic Coding Agents With Sandboxed Cloud VMs, Subagents, Hooks, and Token-Based Pricing
ByRicardo May 1, 2026May 1, 2026

Cursor, the AI-powered code editor, is opening up the core know-how behind its coding brokers to builders in every single place. The Cursor staff introduced the general public beta of the Cursor SDK — a TypeScript library that offers engineers programmatic entry to the identical runtime, harness, and fashions that energy Cursor’s desktop app, CLI,…

Read More Cursor Introduces a TypeScript SDK for Building Programmatic Coding Agents With Sandboxed Cloud VMs, Subagents, Hooks, and Token-Based Pricing
Agentic AI AI Infrastructure

Qwen Team Releases FlashQLA: a High-Performance Linear Attention Kernel Library That Achieves Up to 3× Speedup on NVIDIA Hopper GPUs
ByRicardo May 1, 2026May 1, 2026

The race to make massive language fashions sooner and cheaper to run has largely been fought at two ranges: the mannequin structure and the {hardware}. But there may be a third, typically underappreciated frontier — the GPU kernel. A kernel is the low-level computational routine that really executes a mathematical operation on the GPU. Writing…

Read More Qwen Team Releases FlashQLA: a High-Performance Linear Attention Kernel Library That Achieves Up to 3× Speedup on NVIDIA Hopper GPUs
Agentic AI Governance, Regulation & Policy

A guide to APIs, MCPs, and MCP Gateways
ByRicardo April 30, 2026April 30, 2026

APIs and MCPs are sometimes talked about in the identical breath as ways in which methods can trade data, however they’re designed in a different way and have totally different functions. This article hopes to clarify the variations and how software program builders and customers ought to method interplay with every. An API is principally…

Read More A guide to APIs, MCPs, and MCP Gateways
Agentic AI AI

Are your agents quietly draining your budget?
ByRicardo April 28, 2026April 28, 2026

What the info revealsAI agents are scaling quicker than your means to manage them. Agent deployment doubled in 2025: As enterprises moved from pilots to manufacturing throughout core workflows. Costs leaping 10× throughout stacks: Real-world utilization exposes behaviors and suggestions loops not seen in testing. Tens of hundreds misplaced in days (with out detection): Caused…

Read More Are your agents quietly draining your budget?
Agentic AI Artificial Intelligence

How to Build a Lightweight Vision-Language-Action-Inspired Embodied Agent with Latent World Modeling and Model Predictive Control
ByRicardo April 28, 2026

In this tutorial, we construct an embodied simulation imaginative and prescient agent that learns to understand, plan, predict, and replan immediately from pixel observations. We create a totally NumPy-rendered grid world through which the agent observes RGB frames reasonably than symbolic state variables, enabling us to simulate a simplified Vision-Language-Action-style pipeline. We practice a light-weight…

Read More How to Build a Lightweight Vision-Language-Action-Inspired Embodied Agent with Latent World Modeling and Model Predictive Control
Agentic AI Artificial Intelligence

Meet Talkie-1930: A 13B Open-Weight LLM Trained on Pre-1931 English Text for Historical Reasoning and Generalization Research
ByRicardo April 28, 2026

What if a language mannequin had by no means heard of the web, smartphones, and even World War II? That’s not a hypothetical — it’s precisely what a workforce of researchers led by Nick Levine, David Duvenaud, and Alec Radford has constructed. They name it talkie, and it could be essentially the most traditionally disciplined…

Read More Meet Talkie-1930: A 13B Open-Weight LLM Trained on Pre-1931 English Text for Historical Reasoning and Generalization Research
Agentic AI AI Agents

Build a Reinforcement Learning Powered Agent that Learns to Retrieve Relevant Long-Term Memories for Accurate LLM Question Answering
ByRicardo April 28, 2026April 28, 2026

In this tutorial, we construct a Reinforcement Learning–pushed agent that learns how to retrieve related reminiscences from a long-term reminiscence financial institution. We begin by setting up a artificial reminiscence dataset and producing queries that require the agent to recall particular data. Using OpenAI embeddings, we convert each reminiscences and queries into vector representations, enabling…

Read More Build a Reinforcement Learning Powered Agent that Learns to Retrieve Relevant Long-Term Memories for Accurate LLM Question Answering

Agentic AI

Qwen AI Releases Qwen-Scope: An Open-Source Sparse AutoEncoders (SAE) Suite That Turns LLM Internal Features into Practical Development Tools

A Coding Deep Dive into Agentic UI, Generative UI, State Synchronization, and Interrupt-Driven Approval Flows

Moonshot AI Open-Sources FlashKDA: CUTLASS Kernels for Kimi Delta Attention with Variable-Length Batching and H20 Benchmarks

Cursor Introduces a TypeScript SDK for Building Programmatic Coding Agents With Sandboxed Cloud VMs, Subagents, Hooks, and Token-Based Pricing

Qwen Team Releases FlashQLA: a High-Performance Linear Attention Kernel Library That Achieves Up to 3× Speedup on NVIDIA Hopper GPUs

A guide to APIs, MCPs, and MCP Gateways

Are your agents quietly draining your budget?

How to Build a Lightweight Vision-Language-Action-Inspired Embodied Agent with Latent World Modeling and Model Predictive Control

Meet Talkie-1930: A 13B Open-Weight LLM Trained on Pre-1931 English Text for Historical Reasoning and Generalization Research

Build a Reinforcement Learning Powered Agent that Learns to Retrieve Relevant Long-Term Memories for Accurate LLM Question Answering

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