NVIDIA AI Releases VibeTensor: AI Generated Deep Learning Time Built to End Programming Coding Agents

NVIDIA AI Releases VibeTensor: AI Generated Deep Learning Time Built to End Programming Coding Agents

NVIDIA released VIBETENSOR, an open source research system stack for deep learning. VIBETENSOR is produced by LLM’s powerful coding agents under high-level human supervision. The program asks a practical question: can coding agents generate a parallel deep learning runtime that combines Python and JavaScript APIs up to C++ runtime components and CUDA memory management and … Read more

How to Build Effective Agent Thinking Methods by Dynamically Pruning Multiple Thinking Methods Without Losing Accuracy

How to Build Effective Agent Thinking Methods by Dynamically Pruning Multiple Thinking Methods Without Losing Accuracy

In this tutorial, we use a chain logic pruning framework that generates multiple logics in parallel and dynamically reduces them using consensus signals and premature stops. We focus on improving the efficiency of reasoning by reducing the use of unnecessary tokens while preserving the validity of the response, showing that consensus and agreement weight graphs … Read more

Firefox Adds “No Thanks” Button to AI

Firefox Adds “No Thanks” Button to AI

Mozilla is about to do something that seems counterintuitive, or unbusinesslike, to the tech industry in 2020: it will simply give users a direct way to say “no” to productivity algorithms on their computer. With Firefox 148, launched on February 24, the browser will use a new “AI control” section in the settings. The title … Read more

Top 10 MCP Servers AI Builders in 2026

Top 10 MCP Servers AI Builders in 2026

AI agents no longer just answer questions. They read code, install apps, run workflows, transfer money, search the web, and remember what happened last week. MCP servers make that possible by connecting models to real systems. MCP replaces scattered APIs with structured, permission-aware access to tools like GitHub, Stripe, Notion, databases, and web search. This … Read more

Implementation of Coding to Train Agents for Offline Security Reinforced Priority Learning Using Conservative Q-Learning with d3rlpy and Embedded Historical Data

Implementation of Coding to Train Agents for Offline Security Reinforced Priority Learning Using Conservative Q-Learning with d3rlpy and Embedded Historical Data

In this tutorial, we build a security-enhancing learning pipeline that learns entirely from static, offline data rather than live testing. We design a custom environment, generate a behavioral data set from a constrained policy, and train both a baseline Behavior Cloning and a Conservative Q-Learning agent using d3rlpy. By designing a workflow for offline datasets, … Read more

Price Details and Feature Set

Price Details and Feature Set

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The Qwen Team Releases Qwen3-Coder-Next: An Open-Weight Model Language Designed Specifically for Coding and Development Agents

The Qwen Team Releases Qwen3-Coder-Next: An Open-Weight Model Language Designed Specifically for Coding and Development Agents

The Qwen team recently released Qwen3-Coder-Next, an open source language model designed for coding agents and local development. It sits on the backbone of the Qwen3-Next-80B-A3B. The model uses a Mixture-of-Experts (MoE) microstructure with mixed attention. It has a total of 80B parameters, but only 3B parameters are activated per token. The goal is to … Read more

Pricing Options and Range of Performance

Pricing Options and Range of Performance

Overall, chatting with the DeHouse Chatbot feels effortless and more conversational, as the platform supports dialogue that continues over time rather than stopping at individual responses. ⚡️ FAVORITE CONVERSATIONS ⚡️ Candy AI Try Candy AI Unfiltered Chat with AI GirlsPictures and voice messagesVideo Generation My dream friend Try Mydreamcompanion Spicy AI ChattingText and voice messagesAI … Read more