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YouTube, Meta, and Twitch won’t say if they’ll allow the US government to livestream an execution
YouTube, Twitch, Meta, and X aren't saying whether they'll allow the US government to livestream an execution on their platforms. The four companies didn't respond to The Verge's requests for comment after an unnamed Pentagon official said yesterday that the execution of Nidal Hasan, who was convicted of a mass shooting at a Texas military base in 2009, will be livestreamed. Two platforms responded to The Verge's inquiries. Jamie Favazza, a spokesperson for TikTok's US operations, pointed to the platform's policies banning "shocking and graphic content," including "the moment of someone's death." Kick, a platform known for taking a hands-of … Read the full story at The Verge.
The AI is in the computer
It's gadget season, and a lot of companies are launching a lot of new products. But whether it's Microsoft dropping a high-end laptop, Amazon shipping a fancy Android tablet, or Apple diving headlong into the smart home, the actual strategy appears to be almost always the same. All these companies believe AI assistants and agents are the future of computing, and they're building devices that put them front and center. On this episode of The Vergecast, David and Nilay dig into all this new hardware to figure out whether any of it has the right take on AI. (Or if "the AI should run the computer" is even the right idea in the first place.) The … Read the full story at The Verge.
Yandex Takes a Second Data Center Hit in 48 Hours
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TechCrunch Disrupt 2026 starts in 4 days — lock in your pass savings of up to $100 before prices rise
Four days until TechCrunch Disrupt 2026 starts, when 10,000 founders, investors, and tech leaders gather in San Francisco's Moscone West on October 13-15. Save up to $100 on your price. Plus, save 50% on a second pass of the same type.
Instinct was the buzziest AI agent around — can it survive Muse?
Instinct’s agent is always just a text away. Before there were cute little guys, there was Instinct. In August, the startup got its AI agent to market with an unusual playbook: invite-only, no marketing, and barely so much as a website. And yet, Instinct quickly became the buzziest thing in AI, garnering praise for its straightforward, text message-based interface and its ability to handle chores like booking DMV appointments and sending follow-up emails. Then Muse arrived, followed not long after by Dots. The same products, more or less, from two far more powerful companies. With Big Tech players suddenly in the mix, it was looking dubious that the startup's buzzy launch could keep … Read the full story at The Verge.
Where Does the Money Go Across Long-Running Coding Agents?
The cost of control The post Where Does the Money Go Across Long-Running Coding Agents? appeared first on Towards Data Science.
5 Types of AI Tools Worth Exploring in 2026
AI tools are becoming part of everyday work, but choosing the right ones can be confusing.Continue reading on Medium »
The Memory Tax: Why Your LLM Agent Gets Dumber When It Remembers More
A practical guide to managing context windows without losing the agent s focusContinue reading on Medium »
A week with Googlebooks: four notes from our testing so far
Software, software, software. | Photo: Antonio G. Di Benedetto / The Verge Google's new operating system is off to a rocky start. The five newly launched Googlebook laptops have hardware that ranges from great to excellent, but the software in its current state is the weak point. There are four of us on staff at The Verge actively testing Googlebooks and, frankly, our internal Slack discussions have been mostly filled with collective venting of frustrations, disappointments, and bewilderment. The promise of Googlebooks as a fresh and smartly designed alternative to Windows or Mac for Android phone owners sounds great, but there's more than just a few kinks and quirks to work out. Some of its issues and challenges … Read the full story at The Verge.
EmbeddingGemma 2: Text, Code, Images, Video and Audio in One Vector Space
EmbeddingGemma 2 launched on October 6, 2026 under Apache 2.0. It is a sub-1B model built on Gemma 4 that maps text, code, images, video and audio into one 768-dimensional space. This article covers the architecture, the benchmarks, and runnable scripts to provide measured results. Specifications Specification EmbeddingGemma 2 Base model Gemma 4 License Apache [ ] The post EmbeddingGemma 2: Text, Code, Images, Video and Audio in One Vector Space appeared first on Analytics Vidhya.
Build Your First AI Agent with One Tool Call
AI Agents for Beginners, Part 1 The post Build Your First AI Agent with One Tool Call appeared first on Towards Data Science.
Iranian campaign planted fake articles in real U.S. publications using ChatGPT
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