Insights on AI trends, programming paradigms, and the future of technology
Can AI truly create great works of art, or is it just a fancy tool? Let’s explore this question together.
Explore the exciting world of AI videos, where technology meets creativity. Discover the tools and ethical considerations in this evolving landscape.
Discover how Tongyi DeepResearch, an open-source 30B MoE model, challenges the AI status quo and what it means for the future.
Discover how URLs function as state containers, enhancing navigation and user experience in our digital interactions.
Explore how Claude Code is revolutionizing low-level cryptography debugging, making our digital world more secure.
Discover how I leverage Claude Code's features to enhance my coding experience and productivity while tackling challenges effortlessly.
Discover the remarkable journey of Visopsys, an OS maintained by a single developer since 1997, showcasing passion and dedication.
Discover effective debugging strategies that will help you tackle pesky bugs and enhance your coding journey.
Dive into the fascinating world of programming paradigms, exploring their flavors and how they shape coding practices.
A few months back, I wrote about the promise of vibe coding. Now, 2.5 months into practicing it daily, I still believe the nature of programming has shifted. But I'm also seeing the current limits more clearly.
Open AI recently released their 4o image generation model. GPT-4o image model differs from previous diffusion models in that it is multimodal-native and non-diffusion-based.
Vibe coding is a new paradigm from early 2025 which essentially refers to writing software with the help of LLMs, without actually writing any of the code yourself.
DeepSeek-R1 represents a major breakthrough in AI development, not just for its impressive performance but for the significant cost reductions it introduces.
Chain of Thought (CoT) prompting has already proven to be a powerful method for improving the reasoning capabilities of large language models by breaking down complex problems into intermediate logical steps.
Chain of Thought (CoT) is a prompting technique that guides language models to solve complex problems by breaking them down into intermediate reasoning steps.
The release of Meta's LLAMA3 represents a potential democratization of AI intelligence, dramatically lowering computational costs and increasing accessibility.
Exploring personal data value and AI training quality concerns, including bot-generated content diluting data quality and economic models.
A philosophical exploration of identity, creativity, and the relationship between our thoughts and our sense of self.
Comparing synthetic and real data in AI training, exploring quality, authenticity, and the implications for model performance.
Exploring the disconnect between AI's transformative potential and widespread pessimism about technological progress.
Exploring the transformation of learning in the age of AI and digital technologies.
The evolving relationship between human creativity and artificial intelligence in artistic expression.
Navigating the challenges and opportunities of information abundance in the digital age.