📢 AI News Roundup: What's New in the AI World?

Turns out Musk's idea of a piggy bank is equity. He pledged to hand one of his SpaceX shares to “every kid in America” in 2027, worth north of $10 billion at the current $146 share price, or roughly 1% of his net worth. He has not said how it would work, though Trump Accounts can reportedly take stock donations. He calls it the first of many.

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Security firm NorForge revealed that a Chinese-speaking hacker let AI agents do nearly all the work to successfully break into the websites of 100+ companies, with Reuters identifying victims like Cummins, Deere, and SharkNinja in the hack. NorForge watched the attacks after finding 20+ hacker control panels for Cairn, an open-source tool for AI agents, left online with no password.

AI startup Inception just launched Mercury 3, a “diffusion” language model it says matches or beats OpenAI’s GPT-6 Luna and Anthropic’s Claude Haiku 5.5 by its own numbers at 4-8x their speed. Language models write one at a time, while diffusion models draft many words at once and refine them, leading to outputs of 1,000+ tokens a second.

Skyfall has introduced SKY-001 to tackle the engineering work behind complex objects such as cars and engines. In Skyfall’s computer-aided design tests, SKY-001 generated a component in 3.9 seconds for $0.005 versus GPT-6 Astra’s 199 seconds and $0.75. Across 1,000 components, it scored 79.7% against Astra’s 79.1% on shape overlap, which measures how closely the generated geometry matches a reference.

Amazon has introduced TorchNeuron, a new tool that makes its own AI chips easier to use, challenging Nvidia's long-standing software advantage. Now in public beta, TorchNeuron lets developers run existing PyTorch AI models on Amazon's Trainium chips with minimal code changes. The software supports 89 of Hugging Face's 100 most-used text-generation model architectures, up from 46 with Amazon's previous integration.

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The feature is available in Amazon’s Shopping app, on mobile web, and on desktop.

Amazon says these observations can be based on your purchase history, searches, saved lists, product reviews, and conversations with Alexa for Shopping.

The feature is supposed to help match shoppers with the right products, but many users have shared strange observations it made about them, including one woman whose profile noted she has “flat buttocks.”

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☢️ Amazon is Funding 12 Small Reactors at an Old Indiana Coal Plant

🍏 Apple Banned Apps That Hide Nudify Tools Until After Review

☁️ Microsoft Walked Away From an Nscale Lease Weeks Before its IPO

📺 People Are Using AI to Make Their Smart TVs Dumb Again

🇨🇳 China proposed new export controls on AI

⚡ NVIDIA's Vera CPU doubled AI-agent task throughput in Modal's early tests, outperforming competing server processors under heavy load.

🧠 MiniMax launched its M3.1 Flash model, claiming nearly 3× faster responses and 70% lower costs for coding and agent tasks.

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