Paul Chan retweeted
💻Learn by building with an AI coding agent, right in your browser. 👀Live preview, nothing to install.
📚Try DeepLearning.AI’s new agentic coding lab in our course, Building AI Assistants with On-Device Memory.
👉Enroll for free: deeplearning.ai/courses/buil…
#AI #AIAgents #AIEngineering
Paul Chan retweeted
Love this! If I had kids, I’d love to teach them this way.
I’ve been exploring learning through play too! A Claude skill for making hand-drawn, interactive everyday objects. Here’s my little washing machine :)
colorfigures.vercel.app
Paul Chan retweeted
Introducing OpenDesign Motion.
The open-source alternative to Claude Motion.
Create beautiful motion videos with any agent, any model. No Opus 5.5 required.
This entire launch video was made in OpenDesign.
More demos below ↓
Paul Chan retweeted
FLUX 3 Image Klein is here.
Open Weights with the quality of a large frontier model. Customizable and fast.
5.6B parameters and runs on a single consumer GPU.
Native 4K, bounding boxes, and pixel-perfect editing.
Paul Chan retweeted
How do always-on, proactive agents like @Bot work?
Watch my lecture at Stanford CS146S:
2:35 How we got here
6:13 What changed in the models
10:06 Inside an always-on agent
18:07 The harness
27:26 Context engineering
34:26 Where this is going
Paul Chan retweeted
Grok Bot could be the first thing you hire instead of prompt
It can own a job, work inside your tools for hours and come back with finished work
In this article, I show you how
Paul Chan retweeted
Uncensored Qwen Image 2.1 for anyone interested
huggingface.co/abenzerps/Qwe…
Paul Chan retweeted
Video generation now runs right on your laptop. 🎬
Introducing FreeVideo — bringing MiniMax H3 + Video DeltaNet to the hardware you already own.
As little as 8GB VRAM + 16GB RAM. ComfyUI integration, LoRAs & custom workflows.
Code: github.com/FlashML-org/FreeV…
Paul Chan retweeted
"Today, we’re releasing two Cloudflare-trained decision models, Clef and Clef-flash"
blog.cloudflare.com/clef-dec…
Never seen an idea spreading so fast.
Paul Chan retweeted
Introducing JEV-27B-VL.
We believe it is the world’s first open-weight, near-SOTA multimodal decision model — built with AutoTrust AI’s Blocks of Experts (BoE) recipe.
It does not just describe what it sees. It turns visual state into calibrated action probabilities, then selects what to do next.
In this demo, it sees Mario’s position, movement, obstacles, and timing — then chooses whether to run, jump, or do both.
See → decide → act.