![No, Artificial Intelligence Is Not Conscious - Ted Chiang [link]](https://allblogs.blob.core.windows.net/alldevblogs/thumbs/article-3ccdc167048c-full-d5c6333f.webp)
Ted Chiang argues that AI is not conscious, comparing text to deepfake media and warning against anthropomorphism.
Introduces AI-DLC, a new software delivery lifecycle designed for AI-native engineering, moving beyond incremental AI tool adoption.
Practical habits for using AI effectively as a software engineer, focusing on fundamentals, context, and understanding.
A reflection on a 30th college reunion, discussing AI anxiety and nostalgia for a student-built multiplayer Tetris game called BattleTris.
A software engineer shares personal thoughts on AI, fears, opinions, and evolving mental journey through the tech landscape.
Announcing PyCon US 2026 in Long Beach with new AI and security tracks, plus community highlights.
A structured feedback practice for AI-assisted development, turning individual AI interactions into team-wide improvements through shared artifacts.
A critical opinion piece questioning whether the investment in AI is worthwhile, discussing its promises and real-world limitations.
Explores Cosma Shalizi's view of AI as a mechanization of cultural traditions, analyzing how LLMs retrieve and synthesize formulaic information.
A daily tech reading list covering AI, Google Gemini updates, open source trends, agentic engineering, and enterprise AI challenges.
A speaker shares insights from a fireside chat on AI coding agents, stages of AI adoption, and trusting AI output in software development.
A speaker shares insights from a fireside chat on AI coding agents, discussing adoption stages, trust in AI output, and test-driven development with agents.
An analysis of AI's impact on software development, based on interviews with 70+ developers, discussing automation, testing, and the future of coding.
Explores the transformative impact of AI on software development, featuring insights from industry experts on the future of coding.
Discussion on the "We love open source" podcast about the potential threats that AI poses to the open source and free software movements.
A critique of how quantitative benchmarking and evaluation culture shapes and potentially distorts progress in machine learning research.
A designer critiques the commercialization of AI and its ethical risks, especially regarding military applications.
A thought-provoking article questioning which programming languages are best for AI-generated code, including options like machine code and Idris.
Analysis of Anthropic's Pentagon contract and its strategy to brand itself as the ethical AI provider in a commodified market.
Analysis of Anthropic's Pentagon contract and its branding as a 'moral' AI provider in a commodified AI market.
