AI agents now build and run software automatically. Insecure MCPs and CVE-2025–6514 show how trusted automation enables code execution attacks.
Category: robotics/AI – Page 3
Elon Musk Gets Huge New Partnership
Questions to inspire discussion.
🤖 Q: How will the US military become an AI-first warfighting force?
A: The Department of War will implement continuous experimentation, conduct quarterly force-on-force combat labs, and deploy AI coordinated swarms across all domains from Pentagon back offices to tactical front lines, building on the military AI lead established during President Trump’s first term.
🎯 Q: What defines responsible AI for military applications?
A: The Department of War defines responsible AI as objectively truthful and mission-relevant capabilities employed securely within laws governing military activities, focusing on factually accurate models without ideological constraints limiting lawful military applications.
Talent Acquisition and Workforce.
Is our chatbot telling lies? Assessing correctness of an LLM-based Dutch support chatbot
Companies support their customers using live chats and chatbots to gain their loyalty. AFAS is a Dutch company aiming to leverage the opportunity large language models (LLMs) offer to answer customer queries with minimal to no input from its customer support team. Adding to its complexity, it is unclear what makes a response correct, and that too in Dutch. Further, with minimal data available for training, the challenge is to identify whether an answer generated by a large language model is correct and do it on the fly.
This study is the first to define the correctness of a response based on how the support team at AFAS makes decisions. It leverages literature on natural language generation and automated answer grading systems to automate the decision-making of the customer support team. We investigated questions requiring a binary response (e.g., Would it be possible to adjust tax rates manually?) or instructions (e.g., How would I adjust tax rate manually?) to test how close our automated approach reaches support rating. Our approach can identify wrong messages in 55% of the cases. This work demonstrates the potential for automatically assessing when our chatbot may provide incorrect or misleading answers. Specifically, we contribute a definition and metrics for assessing correctness, and suggestions to improve correctness with respect to regional language and question type.
This Script Lets You Remove Built-In Windows 11’s AI Features
Windows 11 has been pushing AI features harder than ever over the past year, and there’s no sign of that slowing down anytime soon. From Copilot sitting in your taskbar to Recall capturing your screen, Microsoft’s AI is becoming impossible to ignore, and often impossible to remove.
If you value your privacy or just prefer a cleaner OS, a PowerShell script called Remove Windows AI is now available on GitHub. It was released by developer Zoicware and does exactly what it promises: it targets Copilot, Recall, Windows Studio Effects, and other related background services that run by default.
The script is actively maintained to ensure it can remove newly added AI components as they appear. If you find an AI feature or registry key that the script doesn’t remove, report it with details so the developer can add it in a future update.
Post-Human Economics
With the rise of AGI, the need for Primal eye theory and the understanding of our form of sentience becomes greater than ever if we who are “Born of Nature” are to remain relevant.
Which is, of course, my doing. I’ve been working on a couple of big projects across the summer; time has been, to say the least, at a premium. The real point is: both projects have major implications for the future of this newsletter. I can’t wait to share more on all that in the coming weeks.
In the meantime, though, I’ve still been writing a whole lot. As most of you know, along with Raoul Pal I run The Exponentialist, a community focused on emerging technologies and their economic, social, and human implications.
In this special update, then, I’d like to share a recent essay from The Exponentialist. One that allows you a glimpse of the kind of work I do there. And that articulates an set of idea that are at the heart of my current thinking when it comes to our journey into the decades ahead.
This is how I’m preparing for AI (and you can too)
As AI replaces traditional wage labor, individuals should prepare for an automated future by adapting their skills, investments, and lifestyle to focus on economic stability, personal growth, and self-directed living ## ## Questions to inspire discussion.
Capital Economy Participation.
A: Invest in dividend-producing ETFs for a hands-off approach to wealth building, as AI and robotics reduce labor demand and shift wealth distribution toward capital ownership rather than wages.
🏢 Q: What ownership structures should I explore beyond traditional employment?
A: Consider Employee Stock Ownership Plans (ESOPs) to become a part-owner of companies, but approach Decentralized Autonomous Organizations (DAOs) cautiously due to their high-risk nature despite offering ownership opportunities.
⚠️ Q: Should I rely on Bitcoin for income generation?