🚀 New short course with @qdrant_engine: Multi-vector Image Retrieval. Taught by @LukawskiKacper, Senior Developer Advocate at Qdrant, the course shows how multi-vector techniques outperform single-vector methods by matching text tokens to image patches directly. You’ll

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

Grow faster on the world's largest group chat.

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

Stay ready for outages with Powerwall and Storm Watch during extreme weather.

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.

Sleigh the season with the most personal gift around. Get them a Cameo video!

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

At AI Dev 25 x NYC, @ozenhati, Head of Developer Relations at @GroqInc, showcased how to build a deep research agent with one API call. AI agents today require complex orchestration: managing state, routing tools, handling retries, and coordinating multiple LLM calls, all while

Baidu released Ernie-4.5-VL-28B-A3B-Thinking, an open-weights MoE vision-language model that tops many visual reasoning tasks at low cost. It also debuted the giant Ernie-5.0, a proprietary 2.4T-parameter natively multimodal model. Learn more ⬇️

World Labs’ Marble generates persistent, downloadable 3D spaces (as Gaussian splats or meshes) from prompts, photos, panoramas, videos, or simple layouts. Its Chisel editor lets you expand and edit scenes with text or visuals. Unlike prior “on-the-fly” 3D generators, Marble’s

🎙️New Episode: December 16, 2025 -Unpacking a violent weekend -Healthcare: Dems pick abortion over subsidy extension -Trump advisor warns about risks to Christmas ads -Jasmine Crockett has thoughts about farming -Chris Murphy can't do charts -Tim Walz and white men

Aayush Kapoor, Software Engineer on the AI SDK team at @Vercel, shared during AI Dev 25 x NYC how to build production-ready agents with the Vercel AI SDK. He covered fundamentals like text generation, tool and function calling, structured outputs, and swapping models with a

Get serialized! Learn how to use Python libraries like Pickle with the help of ChatGPT to serialize even the most complex objects easily! From simple commands like pickle.dump and pickle.load to handling nested layers of data, this quick tour shows you how to round-trip objects

Meta released an open-weights image segmentation suite: ➡️ SAM 3 segments images and video (including from text prompts) ➡️ SAM 3D Objects converts segmented items into 3D meshes/gaussians (optionally using point clouds) ➡️ SAM 3D Body generates full 3D human figures. In