Apple released the first developer betas for iOS 26.4, iPadOS 26.4, and macOS 26.4 this week, introducing a new Playlist Playground feature for Apple Music subscribers and native support for video podcasts in the Podcasts app, according to Ars Technica. Simultaneously, the enterprise AI landscape saw significant developments as Alibaba launched its new Qwen 3.5 model, which outperforms its larger trillion-parameter model at a reduced cost, as reported by VentureBeat. In the consumer electronics market, both Bose and SteelSeries are offering discounts on noise-canceling headphones and gaming earbuds, respectively, as detailed by Wired.
The .4 updates to Apple's operating systems, typically released between major iOS releases, often include a range of new features and refinements, Ars Technica noted. The new Playlist Playground will allow users to generate playlists using text prompts.
Alibaba's Qwen 3.5 model, released to coincide with the Lunar New Year, is making waves in the enterprise AI sector. The model, which has 397 billion total parameters but activates only 17 billion per token, has achieved benchmark wins against Alibaba's previous flagship, Qwen3-Max, a model exceeding one trillion parameters, according to VentureBeat. This release presents a new argument for IT leaders evaluating AI infrastructure in 2026: that a model that can be run, owned, and controlled can compete with larger models.
In the audio market, Bose's QuietComfort Ultra Gen 2 noise-canceling headphones are on sale, with discounts of $50, the lowest price seen outside of major shopping holidays, Wired reported. Similarly, SteelSeries' Arctis GameBuds earbuds are available at Best Buy for $160, a $40 discount from the usual price. These earbuds are designed for gaming on the go, making them suitable for consoles like the Nintendo Switch 2 and ROG Xbox Ally, according to Wired.
In other AI news, researchers at the University of California, Santa Barbara, have developed Group-Evolving Agents (GEA), a new framework that enables groups of AI agents to evolve together, sharing experiences and reusing their innovations to autonomously improve over time, VentureBeat reported. This framework addresses the challenge of creating AI agents that can adapt to dynamic environments without constant human intervention.
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