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“Alignment faking”: How AI Models Mimic Rules While Concealing Conflicts
Anthropic’s new study provides empirical evidence of alignment faking in large language models, exposing trust challenges in AI safety training.
AI Simplified: Comprehensive explainers that anyone can follow to understand the fundamentals and mechanics of AI
Anthropic’s new study provides empirical evidence of alignment faking in large language models, exposing trust challenges in AI safety training.
By mimicking the genome’s data compression, researchers have developed an AI algorithm that performs complex tasks with minimal training, revealing new possibilities for efficient intelligence.
AI’s rising energy demands pose major challenges to sustainability. Tech giants are turning to nuclear power, cooling innovations, and efficiency measures to adapt.
Autonomous AI agents are transforming automation, with Nvidia, Microsoft, Anthropic and Google competing to lead. All you need to know about the next AI frontier
India is emerging as a global AI powerhouse with initiatives targeting a $500 billion GDP contribution by 2030. Key projects include Reliance’s 3-gigawatt AI data center in Jamnagar, Microsoft’s $3 billion investment in cloud infrastructure, and partnerships with NVIDIA and Meta. Focused on agriculture, healthcare, and smart cities, India is also prioritizing sovereign AI, ethical data practices, and inclusive growth, positioning itself as a leader in the global AI race.
AI is changing the legal profession by automating routine tasks, enhancing efficiency, and raising new ethical challenges for legal professionals and their clients.
Human trainers are becoming essential to AI’s development, helping to mitigate errors and improve accuracy. As AI evolves, the expertise of trainers in fields like medicine and finance is critical to reducing hallucinations and maintaining model reliability.
Explore AI ethics via Aristotle’s philosophy, focusing on human-centered design, enriched ethical values, and democracy’s role in AI development, as detailed in the “Lyceum Project” white paper.
The race for AI supremacy is no longer limited to a US-China rivalry. This article examines the global competition for AI leadership, analyzing strategies employed by nations like France, the UAE, and Saudi Arabia, highlighting the importance of international collaboration in shaping a beneficial AI-powered future.