Here is your today’s AI Dev Brief from Marktechpost, covering core research, models, infrastructure tools, and applied updates for AI developers and researchers.
NVIDIA Revolutionizes Climate Tech with ‘Earth-2’: The World’s First Fully Open Accelerated AI Weather Stack
In a move that democratizes climate science, NVIDIA unveiled 3 groundbreaking new models powered by novel architectures: Atlas, StormScope, and HealDA. These tools promise to accelerate forecasting speeds by orders of magnitude while delivering accuracy that rivals or exceeds traditional methods. The suite includes three new breakthrough models: (1) Earth-2 Medium Range: High-accuracy 15-day forecasts across 70+ variables, (2)Earth-2 Nowcasting: Generative AI that delivers kilometer-scale storm predictions in minutes and (3) Earth-2 Global Data Assimilation: Real-time snapshots of global atmospheric conditions...… Read the full analysis/article here.
What is Clawdbot? How a Local First Agent Stack Turns Chats into Real Automations
Clawdbot is an open source, local first personal AI stack that turns your existing messaging apps into a control plane for real automations. A central Gateway process connects WhatsApp, Telegram, Slack, Discord, Signal, iMessage and more to models such as Claude, ChatGPT, Gemini, xAI Grok, Mistral and local backends, while exposing tools through a standard SKILL.md format. Its workflow runtime, Lobster, executes multi step, typed pipelines with explicit approvals and resumable state, so agents trigger deterministic workflows instead of ad hoc tool calls. Clawdbot runs on your own hardware or a small VPS, uses cron like scheduling for proactive behavior, and integrates with notes, tasks, repos and smart home systems..… Read the full analysis/article here.
Project Notebooks/Tutorials
▶ [Open Source] Rogue: An Open-Source AI Agent Evaluator worth trying Codes & Examples
▶ How to Build a Fully Functional Computer-Use Agent that Thinks, Plans, and Executes Virtual Actions Using Local AI Models Codes Tutorial
▶ A Coding Implementation of a Comprehensive Enterprise AI Benchmarking Framework to Evaluate Rule-Based LLM, and Hybrid Agentic AI Systems Across Real-World Tasks Codes Tutorial
▶ How to Build Ethically Aligned Autonomous Agents through Value-Guided Reasoning and Self-Correcting Decision-Making Using Open-Source Models Codes Tutorial
▶ How to Build, Train, and Compare Multiple Reinforcement Learning Agents in a Custom Trading Environment Using Stable-Baselines3 Codes Tutorial
▶ How I Built an Intelligent Multi-Agent Systems with AutoGen, LangChain, and Hugging Face to Demonstrate Practical Agentic AI Workflows Codes Tutorial