DuckDuckGo saw a significant spike in US app installs after Google unveiled a sweeping AI-focused search overhaul at its I/O conference.
By Chris Borden The White House has released a national AI framework along with legislative recommendations for the US Congress. The document outlines seven key focus areas.
By Alex Rowland Apple’s in-house AI strategy continues to lag behind competitors. Despite this, the company is expected to generate more than $1 billion in revenue from generative AI in 2026, largely because the iPhone remains one of the key distribution channels for chatbot applications.
By Chris Borden OpenAI has redesigned the model selection experience in ChatGPT. Instead of showing individual model names, users now see up to three tiers depending on their subscription: “Instant” for fast, everyday responses, “Thinking” for more complex tasks, and “Pro” for the most powerful models.
By Daniel Mercer 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.
By Alex Rowland Microsoft’s AI superintelligence team has unveiled its first product: the image generator MAI-Image-2, which is being integrated into the company’s own products and is also expected to become available via API in the future.
By Daniel Mercer ElevenLabs has launched a Music Marketplace where users can publish and sell tracks created with its AI music model, ElevenCreative.
By Daniel Mercer OpenAI has introduced two new AI models: GPT-5.4 mini and GPT-5.4 nano, both specifically optimized for tasks that require ultra-low latency in response generation.
By Daniel Mercer 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.
By Chris Borden Another neo-lab is emerging, this time from the Anthropic team: Mirendil aims to pursue AI-assisted research in fields such as biology and materials science.
ES 
EN