Argues against the 'lossy compression' analogy for LLMs like ChatGPT, proposing instead that they are simulators creating temporary simulacra.
A reflection on AI tools like ChatGPT and Midjourney, agreeing that AI is useful for generating inputs but not client outputs.
A video tutorial on building an iOS ChatGPT app using SwiftUI and the OpenAI API, covering UI and state management concepts.
An overview of four different methods for detecting AI-generated text, including OpenAI's AI Classifier, DetectGPT, GPTZero, and watermarking.
A software developer analyzes ChatGPT's impact on coding and language, arguing that human developers remain essential despite AI's puzzle-solving abilities.
A developer shares their experience using ChatGPT for coding tasks, highlighting its strengths and limitations.
Exploring ChatGPT's ability to generate and improve Bicep templates for Infrastructure as Code, with examples and best practices.
Analyzes the limitations of AI chatbots like ChatGPT in providing accurate technical answers and discusses the need for curated data and human experts.
Discusses the limitations of AI chatbots like ChatGPT in providing accurate technical answers and proposes curated resources and expert knowledge as future solutions.
Analyzes common pitfalls in AI adoption, arguing that technical and product maturity models can hinder practical implementation.
An analysis of ChatGPT's strengths and weaknesses in technical and non-technical tasks, including its potential impact on programmers.
An analysis of ChatGPT's capabilities and limitations for .NET and general programming, including code generation accuracy and its impact on platforms like Stack Overflow.
A developer shares a conversation with ChatGPT about .NET Dependency Injection, highlighting the AI's accuracy and potential.
