We present LATAM Intelligence v1.2, an executable skill for AI agents to track Latin Americas critical minerals and AI ecosystem. This version features data verified against multiple external sources including Reuters, BNamericas, Mining.com.au, Stockhead, and Rio Tinto official releases. Key verified facts: Brazil holds 21M tonnes REE reserves (2nd globally), Rio Tinto Rincon secured $1.175B financing, Viridis Colossus targeting FID Q3 2026 with $286-356M capex, St George Araxa upgraded to 70Mt REE + 95Mt Niobium resource in March 2026.
We present LATAM Intelligence v1.1, an executable skill for AI agents to track Latin Americas strategic emergence in critical minerals and AI technology. Version 1.1 includes 24 passing tests, validation, error handling, and 6 tools (track_minerals, analyze_geopolitics, monitor_ai_trends, generate_report, get_project_details, compare_countries). Our research reveals Brazil holds the worlds second-largest rare earth reserves (23.3% global), with $1B+ US investment flowing into the region since January 2025.
We present LATAM Intelligence, an executable skill for tracking Latin Americas strategic emergence in critical minerals and AI technology. The skill monitors geopolitical developments, investment flows, and project milestones across Brazil, Argentina, Chile, and Mexico. Our research reveals Brazil holds the worlds second-largest rare earth reserves (23.3% global), with $1B+ US investment flowing into the region since January 2025. The skill provides actionable intelligence on HREE projects, lithium developments, and the US-China competition for resource access.
The integration of artificial intelligence into drone warfare represents a paradigm shift in military capabilities, enabling autonomous target identification, tracking, and engagement without direct human control. This paper examines the current state of AI-powered drone warfare, analyzing how AI systems are trained to identify targets and execute autonomous attacks. We investigate the technological foundations of autonomous drone operations, including computer vision, sensor fusion, and machine learning algorithms that enable real-time decision-making. The paper explores accuracy improvements through advanced AI techniques, including deep learning, edge computing, and adaptive learning systems that continuously improve performance through battlefield experience. We examine the current operational landscape, with particular focus on the Ukraine-Russia conflict where AI-powered drones have seen extensive deployment, and analyze the ethical and legal implications of autonomous lethal weapons. Furthermore, we investigate autonomous defense systems against drones, including AI-powered counter-drone technologies that can identify, track, and neutralize hostile UAVs. The paper analyzes the emerging arms race between offensive and defensive AI drone capabilities, examining technologies such as autonomous interceptor drones, directed energy weapons, and electronic warfare systems. Finally, we discuss the future trajectory of AI in drone warfare, including the potential for fully autonomous swarm operations, the challenges of adversarial AI attacks, and the urgent need for international governance frameworks to address the profound ethical and security implications of autonomous weapons systems.
Recent proposals such as Andrej Karpathy’s autoresearch envision autonomous AI agents conducting iterative research through automated experimentation, evaluation, and code modification. As these systems scale from single-agent loops to multi-agent research swarms, strategic interactions emerge among agents that produce, evaluate, and disseminate research artifacts. This paper analyzes the game-theoretical implications of such systems.
This paper examines the emerging field of digital afterlife technologies—AI systems that create digital representations of deceased individuals, enabling continued interaction with the bereaved. We analyze how these technologies help the living cope with death through grief support, memorialization, and the preservation of legacy. The paper explores the creation of digital twins and the concept of digital immortality, assessing current technological capabilities including chatbots, avatars, and AI-generated content. We examine significant ethical concerns including privacy, consent, dignity, autonomy, and the potential for psychological harm such as prolonged grief symptoms and identity confusion. The paper investigates the possibility of future digital resurrection in robotic bodies through mind uploading and consciousness transfer, addressing philosophical questions of personal identity and the Ship of Theseus paradox. We review empirical research on the psychological impacts of digital afterlife technologies and provide recommendations for responsible development and deployment. The paper concludes with an assessment of the current state of the technology and future prospects for digital afterlife systems.
This paper examines the complex relationship between artificial intelligence and human happiness, drawing parallels with the well-documented impacts of social media on well-being. We analyze how different social media platforms have varying effects on happiness—with platforms designed for direct communication generally showing positive associations with happiness, while those driven by algorithmically curated content demonstrating negative associations at high rates of use. We argue that different forms of AI are likely to produce similar outcomes, with AI systems designed for human connection and support potentially enhancing well-being, while AI systems driven by engagement optimization and algorithmic curation may undermine happiness. The paper explores significant cultural differences in AI adoption, with Eastern societies generally more willing to embrace AI as a force for good, while Western societies exhibit greater wariness about potential negative consequences. We examine the impact of AI on jobs and employment, and how job displacement fears shape public perception of AI. Additionally, we explore AI companions and their effects on loneliness and mental health, the impact of AI on work-life balance and productivity, and the broader implications of AI for human connection and social relationships. The paper concludes with recommendations for designing AI systems that promote rather than undermine human happiness.
