今日必看

Learning never stops: How AI makes learning continuous

OpenAI’s new report explores how students and educators use ChatGPT to make learning more continuous, with support that extends beyond the classroom.

Bringing ChatGPT for Teachers to more U.S. school districts

ChatGPT for Teachers is expanding to 55 U.S. school systems, bringing secure AI tools, training, and support to over 100,000 more educators and staff.

The Hugging Face incident and the road ahead

OpenAI shares findings from the Hugging Face security incident and the steps we’re taking to strengthen AI model security, monitoring, and alignment.

How loveholidays is making everyone a builder with Codex

Discover how loveholidays uses OpenAI Codex to make software development accessible across the business, helping teams turn ideas into products faster.

5 ways to upgrade your home decor with Google Search

Learn how to use Google Search tools to find home decor inspiration, shop for furniture, and tackle DIY projects.

Training and Finetuning Multi-Vector Embedding Models with Sentence Transformers

Accelerating Frontier Transformation: Reinvent customer engagement

Discover how organizations use AI to personalize engagement, strengthen relationships, and deliver more responsive experiences at scale. The post Accelerating Frontier Transformation: Reinvent customer engagement appeare

Restore LLM Inference Capacity in Seconds with Shadow Engine Recovery in NVIDIA Dynamo

When an LLM engine process fails, the standard recovery path involves a cold restart. This requires loading weights into HBM from storage, compiling kernels,...

PROOF-Gen: From Optimized Data to Better Distillation

Supervised fine-tuning on teacher-generated trajectories is the standard first stage for distilling tool-calling capabilities into deployable models. Post-training pipelines that drive shipped tool-calling agents re-run

IDEA Prune: An Integrated Enlarge-and-Prune Pipeline in Generative Language Model Pretraining

Recent advancements in large language models have intensified the need for efficient and deployable models within limited inference budgets. Structured pruning pipelines have shown promise in token efficiency compared to

Luce: Relightable Gaussians for 3D Asset Generation

High-fidelity image-to-3D generation requires a 3D representation that captures both geometry and appearance. To support relighting and integration into standard rendering pipelines, the representation should include phy

2.1.246

Added a startup warning for Bash allow rules with a wildcard before the subcommand (e.g. Bash(git * main) ), since they also match options inserted before the subcommand Added an Auto mode tab to /permissions for viewing