Agent demos often fail for reasons that are hard to see: unclear tool traces, silent failures, and changes that improve one behavior but break another. Our new course with @Nvidia shows how to use their NeMo Agent Toolkit to surface these issues with OpenTelemetry tracing, run

Runway unveiled three GWM-1 models that generate video frame-by-frame so scenes stay consistent as the camera moves and can react instantly to user inputs. GWM Worlds makes navigable scenes, GWM Robotics simulates robot viewpoints for planning/data, and GWM Avatars creates

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We're hiring a Developer Advocate to help developers learn and build with AI through clear, practical content. You'll create demos, write technical posts, engage developer communities, and work closely with product and marketing to improve the developer experience. If you

This week, in The Batch, Andrew Ng argues that LLMs are general but limited, so currently progress comes from piecemeal, data-centric, domain-specific work, with no quick leaps to AGI in sight. Plus: 🎬 Runway's GWM-1 brings real-time, controllable world-model video 🏰 Disney

Christoph Meyer, Principal AI Scientist and Lars Heling, Senior Knowledge Engineer at @SAP, discussed at AI Dev 25 x NYC how to improve AI agent discovery and execution using a knowledge graph. LLMs make agents fluent; knowledge graphs make them effective. This session showed

Just wrapped up the Deep Learning Specialization by @DeepLearningAI 🎉 Big takeaway: the course really nails why models are built the way they are. It connects math function design directly to goals like memory and attention, so architectures actually make intuitive sense.

Samsung’s Tiny Recursive Model (TRM) iteratively refines its answers, keeping a running “context” of past changes, to solve grid puzzles like Sudoku, Mazes, and ARC-AGI tasks. It tops many LLMs (including DeepSeek-R1 and Gemini 2.5 Pro) on these benchmarks, showing that a

Kay Zhu, CTO of @genspark_ai, shared at AI Dev 25 x NYC how Genspark advocates for giving AI agents autonomy to plan rather than rigid workflows, while equipping them with 80+ specialized tools. His belief: workflows fail on edge cases and accumulate errors, while agents can

You've likely used AI image generators before, but have you learned to integrate them into your own app? Learn how to navigate API calls, set key parameters, and retrieve your generated visuals in the Generative AI for Software Development skills certificate. Ready to explore

U.S. President Trump signed an executive order creating the Genesis Mission, a Department of Energy program that links national labs, supercomputers, and private partners (including Anthropic, Nvidia, and OpenAI) to train models on federal datasets and automate experiments across

We’re hiring for three roles at @DeepLearningAI as we continue building products and programs for people learning AI: 🧩 Product Designer: Research, prototype, and design end-to-end learner-facing workflows in close partnership with product and engineering. 🧑‍💻 Developer

Anthropic’s new flagship model Claude Opus 4.5 improves coding, tool use, and long-context reasoning while costing about one-third per token versus its predecessor. It adds adjustable “effort” and extended thinking, summarizes long chats automatically, and ranks near the top of

In the latest issue of The Batch, Andrew Ng shares a simple recipe: using aisuite and MCP tools to spin up a highly autonomous (but unreliable) agent. (Practical agents need more scaffolding!) Plus: 📰 Claude Opus 4.5 is faster, cheaper, and stronger 📰 U.S. launches “Genesis

Join Denise Kwan from Google, Arun Gupta from JetBrains, and Katie Wasilenko Miller from the DevRel Foundation. See you on Thursday! https://t.co/qUTVU7XA3E

We're hosting an evening for DevRel professionals on Thursday, December 18 in Mountain View. Hear from @AndrewYNg and the @DeepLearningAI team, plus developer advocates from @Google, @JetBrains, and the DevRel Foundation as they share how AI is reshaping Developer Relations.

In this session from AI Dev 25 x NYC, @robert_crowe, Product Manager at @Google, spoke about Flax NNX, the new, streamlined API for building, debugging, and training models in JAX. Crowe explored how NNX's Pythonic and object-oriented approach simplifies development, letting

What’s one small way AI could make next year better, for you, your team, or your community? If something comes to mind, tell us in a few lines! We’re putting together a special edition for our year-end Data Points newsletter, and we want to feature your contribution. Post it

📚 Python Basics Made Simple! In the AI Python for Beginners course series you will learn how to identify strings, integers, and floats with the type() function, and build a solid Python foundation for your AI journey. Take the first step and start learning today:

Google DeepMind’s RoboBallet uses a graph neural network trained with reinforcement learning to plan synchronized motions for multiple factory arms. Its simulation training transferred to the real world. The model coordinates up to 8 arms, cutting average task time from 7.5s

We’re hiring a Product Designer to improve how learners navigate and engage with https://t.co/ow1eKAiT8K’s platform! In this role, you’ll study how learners navigate real-world workflows, prototype new interactions, and design interfaces that simplify complex tasks. You’ll work