A tutorial on installing and running the Mistral AI large language model locally on a Linux system using the Ollama platform.
A guide to the best newsletters, blogs, and resources for staying updated on the fast-moving field of Artificial Intelligence in 2025.
Apple plans to transform Siri into a powerful AI by integrating it deeply with the Apple ecosystem, including personal context and cross-app features.
Argues for a balanced approach to AI, using it for discovery but doing important learning and thinking tasks manually to preserve meaning and growth.
Explores AI agents, their capabilities, and frameworks for development, focusing on tools, planning, and evaluation.
An overview of Microsoft Azure's suite of AI services, including prebuilt APIs, machine learning, and cognitive tools for building intelligent applications.
Argues that the 'age of data' for AI is not ending but evolving into an era of 'superhuman data' with higher quality and knowledge density.
Explores the future of social media where AI-generated content becomes indistinguishable from human creators, questioning platform authenticity.
fast.ai announces a new 'AI-first' course, 'How To Solve It With Code,' and its integration into Answer.AI, focusing on Dialog Engineering for collaborative coding.
Explores whether large language models like ChatGPT truly reason or merely recite memorized text from their training data, examining their logical capabilities.
A conversation exploring AI understanding through David Deutsch's constructor theory, questioning if AI can truly 'understand' based on task execution.
Explores the philosophical argument that AI, particularly LLMs, possess a form of understanding and model reality, challenging the notion they are mere token predictors.
Analysis of OpenAI's o1-preview model, the path to AGI, and tech news including cybersecurity threats and AI tooling.
Analyzes Java's current and future capabilities for AI development, challenging the notion that Java is unsuitable for AI.
An analysis of the ARC Prize AI benchmark, questioning if human-level intelligence can be achieved solely through deep learning and transformers.
A guide to designing a reliable and valid interview process for hiring machine learning and AI engineers, covering technical skills, data literacy, and interview structure.
A detailed comparison of Anthropic's Claude 3 and the newer Claude 3.5 Sonnet AI models, covering performance, capabilities, and benchmarks.
Explores Java's current and future capabilities in AI/ML development, challenging the notion that Java is unsuitable for AI tasks.
Overview of Microsoft's Azure and AI technologies presented during the 2024 Student Ambassador Tour.
Explains the key difference between AI models and algorithms, using linear regression and OLS as examples.
