- Best-in-class reasoning and writing
- Strong ecosystem and integrations
- Advanced multimodal capabilities
At WWDC 2026, Apple introduced Siri AI — a new version of its assistant powered by Apple Intelligence for the company’s main lineup of devices. The English-language test version will launch later in 2026.
Google has introduced a so-called “Agent Skill” for the Gemini API designed to close the knowledge gap language models face when SDKs change rapidly. The issue is that AI models, once trained, are unaware of their own updates or the latest best practices. The new skill provides coding agents with up-to-date information on models, SDKs, and example code. In tests across 117 tasks, the success rate of the best model (Gemini 3.1 Pro Preview) increased from 28.2% to 96.6%
Arm Holdings has introduced its own data center chip optimized for AI inference
Apple is testing a standalone app for its Siri voice assistant along with a new Ask Siri feature. The functionality will work across the company’s entire ecosystem, Bloomberg’s Mark Gurman reported, citing sources.
Google has expanded its Universal Commerce Protocol (UCP) with cart, catalog, and identity features designed to make online shopping easier for AI agents.
Google has introduced a new vibe-coding application in Google AI Studio, designed to allow even non-programmers to turn ideas into fully functional apps using natural language.
ElevenLabs has launched a Music Marketplace where users can publish and sell tracks created with its AI music model, ElevenCreative.
Tether’s new QVAC Fabric tool enables the training of large-scale artificial intelligence models even on standard laptops and smartphones. The USDT issuer has announced a major technical breakthrough with the launch of a cross-platform LoRA framework designed for BitNet models (1-bit LLMs). The solution is specifically aimed at lowering the entry barriers for AI development, as training models with billions of parameters has traditionally required expensive enterprise-grade Nvidia systems or high-cost cloud infrastructure.
Google has released a new image generation model called Nano Banana 2, built on Gemini 3.1 Flash, and published an official guide explaining how the three models in the Nano Banana lineup are meant to be used.
Google has expanded the capabilities of its Gemini AI assistant across Docs, Sheets, Slides, and Drive, making the tool more personalized and better suited for collaborative work.