Explores the strategic importance of Generative AI and how to build sustainable competitive advantages (moats) in AI products.
An analysis of ChatGPT's future, predicting challenges like company dilution, failed competition, and a potential acquisition.
Announcing the release of the 'transformer' R package on CRAN, implementing a full transformer architecture for AI/ML development.
A critical analysis of GPT-4's capabilities, questioning the 'miracle' narrative and exploring the technical foundations behind its success.
Analyzes the rise of AI as a platform shift, comparing its early stages to the historical growth and evolution of cloud computing.
A guide on managing the overwhelming volume of AI/ML research, sharing strategies and tools for prioritizing and staying updated effectively.
A reflection on past skepticism of deep learning and why similar dismissal of Large Language Models (LLMs) might be a mistake.
Argues against the 'lossy compression' analogy for LLMs like ChatGPT, proposing instead that they are simulators creating temporary simulacra.
A software developer analyzes ChatGPT's impact on coding and language, arguing that human developers remain essential despite AI's puzzle-solving abilities.
Analyzes common pitfalls in AI adoption, arguing that technical and product maturity models can hinder practical implementation.
A $10,000 charity bet on whether fully autonomous (Level 5) self-driving cars will be commercially available in major US cities by 2030.
A forecast of speech recognition technology's evolution from 2010 to 2030, analyzing past progress and predicting future trends.
A call to join a month-long AI and cloud learning challenge focused on responsible AI for mental health awareness, using Microsoft Azure.
The article critiques modern search engines' reliance on structured metadata over advanced AI for tasks like indexing and content understanding.
An interview with AI researcher Joelle Pineau discussing her work in reinforcement learning, its applications, and advice for newcomers to the field.
Explores the interconnected principles of trust, ethics, transparency, and accountability in the development and deployment of Artificial Intelligence systems.
Explains the physics and optics behind why smartphone portrait mode uses artificial blur instead of true optical depth of field.
A tech blogger reviews their 2020 conference presentations and blogging output, discussing challenges and future plans for AI and Azure topics.
A meetup recap covering an AI-powered parking space prediction project using Azure services and a session on GitHub Actions for CI/CD.
An analysis of GPT-3's capabilities, potential for misuse in generating fake news and spam, and its exclusive licensing by Microsoft.
