A look at Google's resurgence in AI, including the origin of 'Nano Banana', Sergey Brin's return, and Gemini's user growth compared to OpenAI.
A retrospective analysis of AI predictions made since 2016, examining what was right, wrong, and still unfolding in the field of artificial intelligence.
A developer reflects on a difficult 2025 and plans for 2026, focusing on 'Just in Case' vs. 'Just in Time' learning strategies for professional growth.
Weekly AI news summary covering robotics, cybersecurity, AI licensing, and compute infrastructure trends.
Explores Kent Beck's 'coding genie' metaphor for LLM coding agents, warning against anthropomorphizing them as they are probabilistic tools.
A curated list of books exploring the themes of Abundance, Anxiety, AI, and Algorithms to understand the modern technological landscape.
A review of key trends and developments in Large Language Models (LLMs) throughout 2025, focusing on reasoning models, agents, and industry shifts.
A 2025 year-in-review analysis of large language models (LLMs), covering key developments in reasoning, architecture, costs, and predictions for 2026.
A curated list of notable LLM research papers from the second half of 2025, categorized by topics like reasoning, training, and multimodal models.
A curated list of notable LLM (Large Language Model) research papers published from July to December 2025, categorized by topic.
A chronological summary of Microsoft's top 60 AI announcements from 2025, covering investments, partnerships, and new divisions.
Explores how AI will expand knowledge work by making tasks cheaper, leading to new projects and activities we don't do today.
A personal recap of attending WAWTECH 2025, a tech conference in Warsaw, covering talks on AI security, autonomous drones, and hands-on workshops.
A podcast episode discussing the optimistic and pessimistic impacts of AI on software development and testing, including productivity gains and industry risks.
Merriam-Webster names 'slop' the 2025 Word of the Year, defining it as low-quality, mass-produced AI-generated digital content.
Anthropic's Claude Code ecosystem, like Apple's iPhone, gives it a strategic advantage over competitors focused solely on AI models.
A timeline of beginner-friendly 'Hello World' examples in machine learning and AI, from Random Forests in 2013 to modern RLVR models in 2025.
A historical overview of beginner-friendly 'Hello World' examples in machine learning and AI, from 2013's Random Forests to 2025's Qwen3 with RLVR.
A critique of Cory Doctorow's AI essay, arguing it misunderstands AI's potential impact and gives harmful advice, while praising the 'Reverse Centaur' analogy.
Cory Doctorow critiques the AI industry's growth narrative, arguing it's based on replacing human jobs to enrich companies and investors.
