Called Box Content Retrieval, the new feature allows agents to answer queries far more effectively by relying on the embedded metadata created by Nemotron. Box says the upshot for users is faster, more accurate, and less expensive queries. Nvidia’s VP of generative AI software, Kari Briski, told TechCrunch that she expects queries to be answered four times faster, with 20% fewer errors and 90% fewer tokens used. The system will be available to all of Box’s
Archive: June 2023
Box taps Nvidia’s Nemotron for new agent-first content retrieval system
Tencent Hunyuan Ranks Among the Strongest Open-Source Models! Hands-On Test of Hy4: Paired with WorkBuddy, Its Multimodal Agent Delivery Capabilities Are Maxed Out

Wen Le reporting from Aofeisi QbitAI | WeChat Official Account Hunyuan Hy4 has officially submitted its final answer! This time, Tencent came out swinging, making its ambition unmistakable:joining the ranks of the strongest open-source models. With 770B total parameters and 49B active parameters, it introduces native visual capabilities for the first time and supports computer operation for the first time. Instruction following, long-text comprehension, an
Addendum to GPT-5 system card: GPT-5-Codex
This addendum to the GPT-5 system card shares a new model: GPT-5-Codex, a version of GPT-5 further optimized for agentic coding in Codex. GPT-5-Codex adjusts its thinking effort more dynamically based on task complexity, responding quickly to simple conversational queries or small tasks, while independently working for longer on more complex tasks.