OpenAI uses internal Astra model to solve ten long-standing math problems, with Lean 4 formalizations and a paper, sparking debate on AI's role in mathematics.
Analysis of post-quantum cryptography transition and AI's potential role in cryptanalysis, quoting Matthew Green.
![[Video] What AI is Good For Right Now](https://crawljobs-blogs-media.s3.us-east-1.amazonaws.com/alldevblogs/thumbs/article-f1167948fd71-full-d88fb130.webp)
Brent Ozar discusses what AI is good for, including black-and-white answers and inspiration, with Teachable's Managing Director.
Explores the potential of generative AI to create personalized software solutions tailored to individual needs, using budgeting apps as an example.
Analyzes AI strategies of major tech companies and provides a critical prompt for businesses to define their AI purpose.
![No, Artificial Intelligence Is Not Conscious - Ted Chiang [link]](https://crawljobs-blogs-media.s3.us-east-1.amazonaws.com/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.
Analysis of Anthropic and OpenAI IPOs, viewing AI as a massive opportunity for decision support and the elimination of gaps between current and ideal states.
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.
Explores whether LLMs are mathematically rational, contrasting their human-like language with computational rationality.
![[notes] Crowd-Sourcing: Metaphors for LLMs and AI](https://crawljobs-blogs-media.s3.us-east-1.amazonaws.com/alldevblogs/thumbs/article-9e9f2c4d4688-full-82119b3a.webp)
Crowd-sourcing metaphors used for LLMs and AI, like intelligence, learning, and reasoning.
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, discussing adoption stages, trust in AI output, and test-driven development with agents.
A speaker shares insights from a fireside chat on AI coding agents, stages of AI adoption, and trusting AI output in software development.
