How I See AI Affecting Education
AI will widen educational gaps by default, making great students extraordinary and struggling students worse, unless systems are designed to close them.
AI will widen educational gaps by default, making great students extraordinary and struggling students worse, unless systems are designed to close them.
A cybersecurity expert contrasts two groups of colleagues: AI skeptics who see it as overhyped and harmful, and those who recognize its transformative potential.
A developer's cautionary tale about LLM inaccuracies in simple tasks, highlighting the need to verify AI-generated results.
Explores a futuristic e-commerce concept where AI translates user prompts into custom-built products, coordinating a network of specialized vendors.
Explores the future of Wikipedia and journalism in an AI-dominated world, questioning the role of human summarizers as AI becomes ubiquitous.
A technical tutorial on deploying Azure AI Foundry integrated with Bing Grounding using Terraform for infrastructure as code.
A podcast episode discussing design/development fundamentals, AI's impact, collaboration, and navigating career values in tech.
Explores how AI could transform large tech companies into vast networks of micro-startups, shifting the role of developers to broader builders.
Analyzes outdated marketing and product strategies causing DevRel failures, advocating for faster, focused launches in fast-paced tech environments like AI.
Exploring how to use Playwright's AI features, including the Model Context Protocol (MCP), to automate and improve the process of writing end-to-end tests.
Discusses how LLMs like ChatGPT can boost self-learning by helping understand problems and verify solutions, making skill acquisition easier.
Explores the importance of modernizing legacy software systems with cloud, microservices, and AI to stay competitive and improve user experiences.
An analysis of whether AI has replaced human software developers, arguing that AI currently augments rather than replaces developers.
A review of a free LinkedIn Learning course on AI and Machine Learning fundamentals tailored for Java developers, covering predictive and generative AI.
A developer explains how they use GitHub Copilot and other AI tools for design thinking and as a 'second brain' in software development.
Explores three key methods to enhance LLM performance: fine-tuning, prompt engineering, and RAG, detailing their use cases and trade-offs.
An introduction to reasoning in Large Language Models, covering concepts like chain-of-thought and methods to improve LLM reasoning abilities.
A Microsoft MVP shares their anticipation and plans for the upcoming MVP Summit 2025, focusing on exclusive Microsoft tech insights.
Argues that coding is fundamental thinking and creativity, and that tech professionals must adapt beyond just execution to avoid career risk in the AI era.