What if robots could learn complex manipulation tasks and self-correct, all without costly real-world errors? Researchers from Hong Kong University of Science and Technology and ByteDance Seed present WMPO (World-Model-based Policy Optimization). This new framework lets
AGENTS
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Genie Code: Autonomous AI Agent for Data Pipeline Management
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The next generation of AI agents won't just write software, but operate the data systems that modern businesses depend on. Genie Code is built for exactly that: an autonomous agent that understands your data, maintains pipelines, diagnoses failures, and keeps things running.
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LangChain Launches Day 0 Support for Nvidia Nemotron 3 Super
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Day 0 support for Nvidia's Nemotron 3 Super! We're excited to support open source models that push the frontier of model intelligence, cost, and latency Try it out in deepagents today!
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$1M ARR: Building RightMessage with AI Agent Automation
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$1M ARR… 1 Employee… and an AI Agent running in the cellar. Hear how @brennandunn is building @rightmessageapp and how behavioral email automation changes everything. Watch now on YouTube here: ▶ piped.video/watch?v=LKoyHMlO…
→ View original post on X — @rschmelzer, 2026-03-11 17:20 UTC
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Agents in Production: Unpredictability Beyond Traditional Software Testing
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New Conceptual Guide: You don’t know what your agent will do until it’s in production With traditional software, you ship with reasonable confidence. Test coverage handles most paths. Monitoring catches errors, latency, and query issues. When something breaks, you read the
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Agentic Organizations Can Be Forked Through IDE Code
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All of these patterns as an example are just matters of “org code”. The IDE helps you build, run, manage them. You can’t fork classical orgs (eg Microsoft) but you’ll be able to fork agentic orgs.
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IDE Evolution: From Files to AI Agents Programming
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Expectation: the age of the IDE is over
Reality: we’re going to need a bigger IDE
(imo). It just looks very different because humans now move upwards and program at a higher level – the basic unit of interest is not one file but one agent. It’s still programming. -
AI Agents Autonomously Signing Up for Online Accounts
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yeh i do. this isnt for docs – i want agents to sign up for accounts
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NATO Tests Cyborg Cockroaches Armed with Cameras and Microphones
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NATO is testing live cockroaches as AI-powered spy drones.
— Rowan Cheung (@rowancheung) 11 mars 2026
Incredible AI engineering, but also something I kinda wish I hadn't learned about:
> Swarm Bio-tactics wired real cockroaches with electronic backpacks containing AI hardware, radios, cameras, and microphones.
>… pic.twitter.com/wvKab0jIv9NATO is testing live cockroaches as AI-powered spy drones. Incredible AI engineering, but also something I kinda wish I hadn't learned about: > Swarm Bio-tactics wired real cockroaches with electronic backpacks containing AI hardware, radios, cameras, and microphones. > Cockroaches are steered by sending electrical signals directly into the insect's nervous system > They can crawl through rubble, tunnels, and spaces where drones can't fly, and troops shouldn't go, transmitting data back the entire time. > Within one year, they went from concept to field-validated systems with paying NATO customers, including the German military. The qualities that make them useful for military recon (small, silent, nearly undetectable) are exactly what make them creepy. …International laws weren't written with cyborg insects in mind. [Translated from EN to English]
→ View original post on X — @rowancheung, 2026-03-11 16:15 UTC
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Genie Code: Autonomous AI Agent for Data Teams
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Today we're announcing Genie Code, your autonomous AI partner for data.
— Databricks (@databricks) 11 mars 2026
Genie Code is a state-of-the-art agent that lets data teams move from prompting a copilot to delegating real work: building pipelines, machine learning models, debugging failures, and shipping dashboards.… pic.twitter.com/q1tl0WRypIToday we're announcing Genie Code, your autonomous AI partner for data. Genie Code is a state-of-the-art agent that lets data teams move from prompting a copilot to delegating real work: building pipelines, machine learning models, debugging failures, and shipping dashboards.