Curious whether the latest breakthroughs in large language models are truly revolutionary or just clever refinements? In “The Big LLM Architecture Comparison: From DeepSeek-V3 to Kimi K2: A Look At Modern LLM Architecture Design,” Sebastian Raschka unpacks how today’s most powerful open AI models—from DeepSeek and Kimi to Llama 4 and Gemma—are still built on the classic transformer architecture, with progress coming from ingenious optimizations like smarter attention, memory-saving tricks, and new ways to keep training stable. Whether you’re choosing between open models or debating sticking with OpenAI or Anthropic, the real story is one of evolution, not revolution. This post breaks down what’s really changed, what hasn’t, and which model might fit your needs best.
Digital Transformation
In Defense of Sharing AI Output: Why “AI Slop” Isn’t the End of Meaningful Communication
Rethinking proof-of-thought, noise, and the upside of a more open AI culture. Is sharing ChatGPT output really so rude?A recent essay compares AI-generated text to a kind of digital pollution—a “virus” that wastes human attention and diminishes the value of communication. The author proposes strict AI etiquette: never share machine output unless you fully adopt …
Balancing Technology and Humanity: A Guide to Purposeful Growth in the AI Era
Some content on this blog is developed with AI assistance tools like Claude. In an age where technological advancement accelerates by the day, many of us find ourselves at a crossroads: How do we embrace innovation while staying true to our core values? How can we leverage new tools without losing sight of what makes …