AI Is Moving Off Screens

[INSIDE] Smart glasses, cheaper AI chips, model switching, and more.

Hey folks,

It’s Monday, so let’s quickly catch up on the some of the biggest and most interesting AI updates from the past few days.

Samsung has officially confirmed plans to launch its first smart glasses in 2026. While the company hasn’t shared an exact launch date, it indicated the product could arrive before the end of the year.

The confirmation came during an earnings call, where Seong Cho, executive vice president of Samsung’s Mobile Experience division, said the company is focused on delivering “rich, immersive multimodal AI experiences” across devices. Alongside smartphones, he specifically referenced next-generation AR glasses, signalling that smart glasses are a core part of Samsung’s long-term AI hardware strategy.

Microsoft has introduced Maia 200, its most advanced AI inference chip so far, designed to make running large language models cheaper and faster. Unlike training-focused hardware, Maia 200 is built specifically for AI inference, where the cost of generating tokens has become a major challenge.

Manufactured using TSMC’s 3-nanometre process, the chip packs over 140 billion transistors and operates within a 750-watt power envelope. Microsoft claims performance of over 10 petaFLOPS at FP4 and 5 petaFLOPS at FP8.

Google is preparing a new “import AI chats” feature for Gemini, aimed at users migrating from other AI platforms. The beta feature is expected to appear in Gemini’s attachment menu and will allow users to upload exported conversations from tools like ChatGPT.

The goal is to preserve conversation history and context — a major pain point for users switching AI assistants. Imported chats will be stored in the user’s activity history, and Google notes that this data may also be used to further train its models, making data privacy and consent an important consideration for users exploring the feature.

That’s today’s Monday’s AI News roundup.

Multi Model Comparison

With Geekflare Connect’s Multi-Model Comparison, you can send the same prompt to multiple AI models like GPT-5.2, Claude 4.5, and Gemini 3 at once. Their responses appear side-by-side in a single view, making it easy to compare quality, tone, and accuracy. This helps you quickly decide which model gives the best output for your specific task, without switching tabs or losing context.

That’s today’s Thursday Prompts & Use Cases edition.

Why Most People Lose Their Best AI Prompts

Cheers,

Keval, Editor

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