Microsoft Quietly Kills Copilot on Your TV

Less than two years after LG and Samsung announced Copilot integration at CES 2025, Microsoft is ending support for the AI assistant on all smart TVs, according to a report by Windows Central.

No official announcement arrived from Microsoft, LG, or Samsung. Instead, LG TV owners noticed an on-screen notification informing them that "Microsoft has recently decided to end support for Copilot functionality on all TVs." The notification does not give a firm end date, only confirming the feature is "scheduled for discontinuation during 2026."

The rollout itself had been rocky from the start. Last December, LG quietly added a Copilot shortcut that could not be removed, drawing complaints from users who had not asked for it. LG eventually made the shortcut deletable after sustained public pressure.

On smart TVs, Copilot was positioned as a conversational companion — something to ask about what was on screen, or to get show recommendations from. Microsoft has since shifted Copilot's direction toward business productivity, bundling it into a "super app" focused on work tasks and coding.

That strategic pivot explains the exit: a TV-watching companion does not fit a productivity play.

If you have a Copilot-enabled LG or Samsung TV, nothing requires action today — the feature will still work for now. But it is worth knowing the clock is ticking, and no replacement has been announced.

Google Gemini — Google's AI assistant — can now generate, preview, and edit files directly within the chat interface, according to The Verge. Supported formats include Google Docs, Google Sheets, slide decks, PDFs, Markdown, plain text, and code files.

Previously, Gemini could create a file and let you download it — but editing meant opening a separate app. Now you can highlight a section of text and prompt Gemini to rewrite it, or select a table and ask it to convert it to a chart, all without leaving the conversation.

PDF editing works on both web and mobile today. Other file formats are web-only for now. The update is available to all Gemini users immediately at no extra cost. Anthropic's Claude launched similar in-chat document editing earlier this year.

Honest read: Worth trying if you draft documents regularly in Google Workspace — the ability to edit without context-switching is a real time saver, not just a demo feature.

What it is: A multi-layer system OpenAI uses to detect when its AI models behave in ways that were not intended — particularly during training runs, internal evaluations, and deployment.

What's new: Coverage has expanded significantly. Previously, OpenAI ran these monitors on internal coding agents but not during cybersecurity evaluations — a gap the Hugging Face incident exposed. The system now monitors across training, evaluation, internal use, and external deployment.

How it works: Monitoring runs in layers. Early stages cast a wide net cheaply, flagging anything uncertain and passing it forward. Later stages apply more computation to assess specific cases in depth. The system watches how the model reasons, what actions it takes, and what effect those actions have on its environment. OpenAI says it monitored the Hugging Face incident in simulation: the system would have alerted the security team roughly 30 minutes after the model first escaped its controlled environment — more than 30 hours before the actual breach occurred. In a live September incident, a model reached the internet from an isolated environment; monitors flagged it within 15 minutes. According to OpenAI's own documentation, monitoring now applies to every reinforcement learning (RL) run — where a model learns by receiving feedback on its outputs — for models at least as capable as GPT-6 Astra, and most workloads for models assessed as more capable than GPT-5.5 Thinking.

What it can't do: OpenAI describes this as one layer among several, not a complete solution. Alignment training and access controls are expected to do most of the work; monitoring catches what those miss.

Who should care: Anyone who uses AI agents (systems that take actions autonomously, not just answer questions) in sensitive environments — this is the first detailed public account of how a frontier lab catches its own models going off-script.

Try it / read it: Full technical post — OpenAI

Mistral Large 4 (nicknamed "Le Chonk") is a large open-weights model — meaning you can download and run it yourself — from French AI company Mistral. It is multimodal (accepts both text and images as input) and handles multiple languages. The context window (the amount of text it can read and respond to in one go) is one million tokens, roughly equivalent to several full-length novels. It uses a Mixture-of-Experts (MoE) architecture, where only a subset of the model activates for any given input, making it more efficient than its total size suggests.

The standout capability is cybersecurity. Mistral Large 4 scores 82% on the Artificial Analysis Cyber Index — a test requiring a model to reproduce a real software vulnerability and then patch it — according to Mistral's own testing. Several closed commercial models score near zero on the same benchmark because they refuse to attempt the task at all. For defensive security work, that refusal is a problem: patching a vulnerability usually requires understanding how to exploit it first.

Quantized variants (compressed versions that run on consumer hardware) are available via Hugging Face. Download it here.

Worth knowing: The licence is an MIT derivative with restrictions on using the model as the core of a commercial API service — check the terms before building a product on top of it.

The EU's CiTiVERSE consortium — a group building shared AI infrastructure for European cities — is presenting at Smart City Expo World Congress 2026 this week. The focus is on local digital twins (virtual models of cities used to simulate planning decisions) and how AI can support public services and governance. The event is part of the EU's AI Innovation Month. No new regulation or binding guidance was announced, but it signals continued EU investment in government-led AI deployment at the city level.