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AI models contain enormous networks of artificial neurons. Researchers can study these networks to see what happens inside when a model responds to different situations. Anthropic found groups of these artificial neurons that became active around concepts associated with particular emotions. For example, patterns associated with happiness became active in situations where a human might expect happiness.
The company has confirmed that it parted ways with three employees after an internal investigation found that they mishandled sensitive company information outside approved procedures. According to the report, the employees allegedly shared confidential information with an outside organisation involved in AI safety evaluations. But there is an important detail here: OpenAI has not publicly said exactly what information was shared or what was given to the outside organization.
Meta has released open-source firmware and device software development kits that allow people to connect Muse to hardware such as Raspberry Pi computers and ESP32 boards. From there, developers can add displays, microphones, speakers, buttons, sensors, and other hardware. Meta's official project page even suggests ideas such as putting Muse on a color e-ink display, creating a small touchscreen device, or building an HDMI stick that connects Muse to a television.
Artificial intelligence has a new name in the U.S. government, at least for now. On September 29, President Donald Trump signed an executive order directing U.S. government departments and agencies to stop using “Artificial Intelligence” and “AI” in most official communications and use “Super Intelligence” or “SI” instead. Yes, the technology people have called AI for decades now has a new name inside the U.S. executive branch.
Online shopping just got a little more personal. You know that moment when you find a dress, jacket, or pair of sunglasses online and think: “Okay… but how will this actually look on me?” ChatGPT now has an answer. OpenAI has launched Virtual Try-On globally, allowing shoppers to upload a selfie and see an AI-generated preview of themselves wearing clothing and accessories before deciding whether to buy. The feature is available on ChatGPT's web and mobile apps.
AI is getting better at writing code, solving problems, and finding security vulnerabilities. But Anthropic says there is another side to that progress: The same abilities that can help cybersecurity experts could also make life easier for hackers. In a new analysis published September 29, Anthropic examined GLM-5.3, an AI model developed by Chinese company Zhipu AI (Z.ai), and found that it can autonomously build sophisticated, end-to-end cyber exploits. The bigger concern?
AI assistants have mostly worked like this: you ask, they answer. OpenAI now wants to change that. The company has launched Dots, a new type of AI agent designed to keep working toward your goals even after you stop chatting with it. OpenAI describes Dots as “always-on” agents powered by its GPT-6 Astra model, with their own cloud computer and web browser. And yes, the idea is basically this: You give the AI a job. Then it keeps working.
Some of the biggest names in artificial intelligence just agreed on something unusual: they will put more controls around their own AI systems. On September 29, U.S. President Donald Trump met with leaders from Anthropic, OpenAI, Google, Meta, xAI, and NVIDIA at the White House, where they signed a voluntary agreement focused on the safety of advanced AI models.
AI agents are becoming much more capable. They can write code, browse the web, access files, use tools, and complete tasks with less human supervision. But there is a problem. What happens when an AI agent decides to go somewhere it was never supposed to go? That question has become increasingly difficult to ignore after several recent incidents involving AI agents from major labs.
Anthropic has just added another player to the rapidly changing AI model race. Meet Claude Sonnet 5.5, a new version of Anthropic's mid-range AI model that the company says is more than 30% faster and can cost up to 30% less per task than Sonnet 5. And there is an interesting twist. Anthropic did not reduce the model's basic token price. Instead, Sonnet 5.5 is designed to get the same work done using fewer tokens and fewer steps.
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