## Short Segments

Moonshot AI unveils Kimi Code CLI, a terminal-based AI coding agent designed for next-gen developers. This open-source tool, written in TypeScript, can read and edit code, execute shell commands, and even fetch web pages, all while adapting its actions based on feedback. It's available on GitHub under an MIT license and works seamlessly with Moonshot AI's Kimi models, though it can be configured for other providers as well. The Kimi Code CLI is a successor to the older kimi-cli, offering enhanced capabilities for software development and terminal operations. It supports tasks like implementing new features, fixing bugs, and exploring unfamiliar codebases. The agent's feedback-driven execution model ensures that risky actions require developer confirmation, maintaining control over file edits and shell commands. This release marks a significant step forward for developers seeking to streamline their coding workflows with AI assistance.

## Feature Story

NVIDIA's Nemotron 3.5 ASR is redefining real-time multilingual transcription with its new 600M-parameter model. This Cache-Aware FastConformer-RNNT architecture transcribes 40 language-locales in real time, offering built-in punctuation and capitalization. Available as open weights on Hugging Face under the OpenMDW-1.1 license, Nemotron 3.5 ASR eliminates the need for per-language models or model-swapping, thanks to its prompt-based language-ID conditioning. This innovation targets two primary workloads: low-latency streaming for live audio and high-throughput batch transcription, delivering production-ready text without additional punctuation restoration. The model's architecture features a Cache-Aware FastConformer encoder with 24 layers, an efficient evolution of the Conformer model. This design addresses the longstanding tradeoff in voice AI between speed and accuracy. Traditionally, enhancing accuracy slowed down processing, while speeding up transcription compromised quality. Nemotron 3.5 ASR's architecture aims to resolve this by focusing on efficient processing rather than mere tuning or optimization. For developers and enterprises, this release means more reliable and scalable voice AI solutions. The model's ability to handle up to 2400 concurrent streams on a single H100 GPU with controllable latency between 80ms to 1s makes it a robust choice for large-scale deployments. This capability is particularly beneficial for companies running voice agents at scale, where response times and transcription quality are critical. Looking ahead, Nemotron 3.5 ASR sets a new benchmark for real-time speech recognition, offering a versatile tool for developers seeking to integrate multilingual transcription into their applications. As the demand for efficient and accurate voice AI continues to grow, NVIDIA's latest release positions itself as a key player in the evolving landscape of speech-to-text technology.