klotz: artificial intelligence*

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  1. The use of AI tools in the attacks on Iran is collapsing the time required for military decision-making, raising fears that human oversight is being sidelined. The US military reportedly used Anthropic’s Claude AI model to shorten the 'kill chain' during almost 900 strikes on Iranian targets, including one that killed Ayatollah Ali Khamenei.
  2. For some, artificial intelligence tools answer questions and make life more efficient. But for others, AI has become a form of companionship – a virtual friend, a therapist, even a romantic partner. Is AI a cure for loneliness? Or is this a symptom of something gone very wrong? Horizons moderator William Brangham explores AI relationships with Sherry Turkle, Justin Gregg and Nick Thompson.
  3. This article discusses how to effectively prompt local Large Language Models (LLMs) like those run with LM Studio or Ollama. It explains that local LLMs behave differently than cloud-based models and require more explicit and structured prompts for optimal results. The article provides guidance on how to craft better prompts, including using clear language, breaking down tasks into steps, and providing examples.
  4. A user has created a personal assistant using OpenClaw and a Raspberry Pi Zero 2W, utilizing ALSA for recording, OpenAI for transcription and TTS, and streaming responses to a gateway. The project highlights the flexibility of OpenClaw and potential for low-power alternatives like ePaper displays and ESP32.
  5. NIST is launching a new project around standards for artificial intelligence agents, seeking feedback on the secure use of the rapidly evolving technology. The initiative focuses on security concerns arising from the autonomous nature of AI agents and aims to foster interoperability and public trust. It includes a request for information on AI agent security and a draft concept paper on software and AI agent identity and authorization.
  6. This paper details the development and implementation of ElliQ, an AI-powered social robot designed to combat loneliness and improve the well-being of older adults. ElliQ proactively engages users through conversation, music, games, and health reminders, aiming to foster connection and independence. Deployed across 15 programs in the US and Canada, initial real-world data suggests high engagement and potential for reducing loneliness and improving quality of life, with some reports showing significant reductions in loneliness among users. Challenges identified include educating users about the technology, providing consistent technical support, and integrating data into clinical workflows. The authors emphasize the need for further research, including randomized controlled trials, to establish efficacy and address ethical considerations surrounding AI-driven companionship. A surprising finding was the degree to which users perceived ElliQ as a friend, rather than simply a technological device.
  7. An exploration of Claude 3 Opus's coding capabilities, specifically its ability to generate a functional CLI tool for the Minimax algorithm with a single prompt. The article details the prompt used, the generated code, and the successful execution of the tool, highlighting Claude's impressive one-shot learning and code generation abilities.
  8. We’ve been experimenting with using large language models (LLMs) to assist in hardware design, and we’re excited to share our first project: the Deep Think PCB. This board is designed to be a versatile platform for experimenting with LLMs at the edge, and it’s built using a combination of open-source hardware and software. We detail the process of using Gemini to generate the schematic and PCB layout, the challenges we faced, and the lessons we learned. It's a fascinating look at the future of hardware design!
  9. Sipeed’s MaixCAM2 is a powerful, open-source AI camera designed for makers, offering significant performance improvements over Raspberry Pi and OpenMV solutions. It features the Axera Tech AX630 AI SoC with up to 12.8 TOPS and supports training-free vision models and vision-language models.
  10. This outlines the emergence of an "agentic economy" on Ethereum, powered by AI agents, and the infrastructure being built to support it. It details the potential for autonomous economic activity and the challenges of building a secure and reliable system.

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