Tags: audio AI

Suno has launched version 5.5 of its AI music model, shifting focus from pure fidelity improvements to user‑driven customization. The update introduces three new tools—Voices, My Taste, and Custom Models—that let creators train the system on their own vocal timbre, learn individual genre preferences, and tailor the model to specific music catalogs. While My Taste is available to all users, Voices and Custom Models are limited to Pro and Premier subscribers. The rollout promises a more personal and controllable AI‑generated music experience. Ler mais

OpenAI is merging engineering, product, and research groups into a single initiative aimed at advancing its audio language models. The company plans to announce a new audio‑focused model in the first quarter of 2026 and hopes improved performance will encourage more users to adopt voice interfaces. The effort also includes a roadmap for a family of hardware devices centered on audio, with concepts ranging from smart speakers to audio‑enabled glasses. By prioritizing audio over visual screens, OpenAI seeks to expand AI use into new environments such as vehicles. Ler mais

OpenAI is consolidating its engineering, product, and research teams to overhaul its audio models in preparation for an audio‑first personal device. The move reflects a broader industry shift toward voice‑driven interfaces, with competitors like Meta, Google, and Tesla also expanding audio capabilities. Startups are experimenting with screenless wearables, AI rings, and voice‑focused accessories, while former Apple chief Jony Ive joins OpenAI’s hardware effort to prioritize audio‑first design. The company aims to launch a more natural‑sounding audio model and related devices within the next few years. Ler mais

Clem Delangue, chief executive of Hugging Face, cautioned that the market for large‑language models (LLMs) is in a bubble that could burst as early as next year. While acknowledging the excitement around LLMs, he emphasized that they represent only a fraction of artificial intelligence, noting growing potential in fields such as biology, chemistry, image, audio, and video processing. Delangue criticized the current concentration of capital and attention on a single, generalized model, arguing that the industry’s focus should broaden to capture the full spectrum of AI capabilities. Ler mais