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News
IBM Releases Granite 4.2: Bringing Native Reasoning and Agentic RL to Open Enterprise Models
2+ week, 4+ day ago (303+ words) Yes, All three Granite 4.2 language models ship under Apache 2.0, so download, fine-tuning, and commercial production use carry no licensing gate. Granite 4.2 is a decoder-only dense transformer, not a hybrid or MoE design. Core components are Grouped Query Attention with 8 KV…...
Meet LingBot-World-Infinity: An Open Causal World Model With An Agentic Harness
2+ mon, 3+ day ago (668+ words) Robbyant, Ant Group’s embodied-intelligence unit, has released LingBot-World-Infinity (LingBot-World 2.0). It is a causal video generation model that behaves as an interactive world simulator. It is how the team attacks two failure modes: long-horizon drift and interactive latency. An interactive world…...
Google AI Releases DiffusionGemma, a 26B MoE Open Model Using Text Diffusion for Up to 4x Faster Generation
3+ mon, 2+ day ago (646+ words) Most language models in use today are autoregressive. They generate one token at a time, left to right. Each new token depends on the token before it. DiffusionGemma works differently. It generates entire blocks of text simultaneously, in parallel. On…...
How to Use AgentTrove: Streaming 1.7M Agentic Traces and Building a Clean ShareGPT SFT Dataset in Python
3+ mon, 2+ week ago (312+ words) We install the required libraries and import the core tools needed for streaming, analysis, and visualization. We define the AgentTrove repository, open the dataset in streaming mode, and avoid downloading the full dataset locally. We then inspect the first row…...
Cohere Releases Command A+: A 218B Sparse MoE Model for Agentic Workflows That Runs on as Few as Two H100 GPUs
3+ mon, 3+ week ago (404+ words) The attention layers interleave sliding-window attention layers with Rotational Positional Embeddings and global attention layers without positional embeddings in a 3:1 ratio. The sparse MoE layer is trained in a fully dropless manner and uses a token-choice router, with a normalized…...
How to Build an MCP Style Routed AI Agent System with Dynamic Tool Exposure Planning, Execution, and Context Injection
3+ mon, 4+ week ago (697+ words) In this tutorial, we build a fully functional MCP-style routed agent system from scratch, combining tool discovery, intelligent routing, structured planning, and execution into a single cohesive workflow. We start by setting up a modular tool server that exposes capabilities…...
Mend Releases AI Security Governance Framework: Covering Asset Inventory, Risk Tiering, AI Supply Chain Security, and Maturity Model
4+ mon, 2+ week ago (219+ words) The framework uses a risk tier system to categorize AI deployments instead of treating them all as equally dangerous. Each AI asset is scored from 1 to 3 across five dimensions: Data Sensitivity, Decision Authority, System Access, External Exposure, and Supply Chain…...
Mend.io Releases AI Security Governance Framework Covering Asset Inventory, Risk Tiering, AI Supply Chain Security, and Maturity Model
4+ mon, 2+ week ago (219+ words) The framework uses a risk tier system to categorize AI deployments instead of treating them all as equally dangerous. Each AI asset is scored from 1 to 3 across five dimensions: Data Sensitivity, Decision Authority, System Access, External Exposure, and Supply Chain…...
Z.AI Introduces GLM-5.1: An Open-Weight 754B Agentic Model That Achieves SOTA on SWE-Bench Pro and Sustains 8-Hour Autonomous Execution
5+ mon, 5+ day ago (531+ words) The model achieves state-of-the-art on SWE-Bench Pro, sustains autonomous execution for up to 8 hours, and ships as both an open-weight release and an API-accessible service. Before diving into what GLM-5.1 can do, it’s worth understanding what it’s built on — because…...
Meet A-Evolve: The PyTorch Moment For Agentic AI Systems Replacing Manual Tuning With Automated State Mutation And Self-Correction
5+ mon, 2+ week ago (481+ words) A team of researchers associated with Amazon has released A-Evolve, a universal infrastructure designed to automate the development of autonomous AI agents. The framework aims to replace the ‘manual harness engineering’ that currently defines agent development with a systematic, automated…...