Briefing

langgraph==1.2.2

python-1.7.0

langgraph-sdk==0.4.0

langgraph-cli==0.4.27

Microsoft Agent Framework at BUILD 2026

BUILD 2026 begins on Tuesday, June 2, and there will be tons of exciting announcements from the Microsoft Agent Framework team, Microsoft Foundry, and all thing…

langgraph-sdk==0.4.1

langgraph-sdk==0.4.2

langgraph==1.2.3

dotnet-1.6.2

dotnet-1.7.0

dotnet-1.8.0

langgraph==1.2.4

Microsoft Agent Framework at BUILD 2026: Agent Harness, Hosted Agents, CodeAct, and more

Microsoft Agent Framework at BUILD 2026: Agent Harness, Hosted Agents, CodeAct, and more BUILD 2026 is underway, and the Microsoft Agent Framework team have a r…

dotnet-1.9.0

python-1.8.0

ICYMI: Inside the Microsoft Agent Framework: How we designed a layered SDK

In case you missed it, the Command Line blog was launched last week and has a great article (by yours truly) about our SDK design philosophy with Microsoft Agen…

python-1.8.1

dotnet-1.10.0

langgraph-cli==0.4.28

langgraph-cli==0.4.29

Scaling Up Reinforcement Learning for Traffic Smoothing: A 100-AV Highway Deployment

Training Diffusion Models with Reinforcement Learning We deployed 100 reinforcement learning (RL)-controlled cars into rush-hour highway traffic to smooth conge…

Repurposing Protein Folding Models for Generation with Latent Diffusion

PLAID is a multimodal generative model that simultaneously generates protein 1D sequence and 3D structure, by learning the latent space of protein folding model…

Defending against Prompt Injection with Structured Queries (StruQ) and Preference Optimization (SecAlign)

Recent advances in Large Language Models (LLMs) enable exciting LLM-integrated applications. However, as LLMs have improved, so have the attacks against them. P…

Whole-Body Conditioned Egocentric Video Prediction

.modal { display: none; position: fixed; z-index: 9999; padding-top: 50px; left: 0; top: 0; width: 100%; height: 100%; overflow: auto; background-color: rgba(0,…

Achieving 10,000x training data reduction with high-fidelity labels

Human-Computer Interaction and Visualization…

What exactly does word2vec learn?

What exactly does word2vec learn, and how? Answering this question amounts to understanding representation learning in a minimal yet interesting language modeli…

Sensible Agent: A framework for unobtrusive interaction with proactive AR agents

Human-Computer Interaction and Visualization…

Introducing interactive on-device segmentation in Snapseed

Human-Computer Interaction and Visualization…

RL without TD learning

In this post, I’ll introduce a reinforcement learning (RL) algorithm based on an “alternative” paradigm: divide and conquer. Unlike traditional methods, this al…

Information-Driven Design of Imaging Systems

An encoder (optical system) maps objects to noiseless images, which noise corrupts into measurements. Our information estimator uses only these noisy measuremen…