Building an AI-Powered Blog Editor: A Developer's Journey

2025-04-10
Building an AI-Powered Blog Editor: A Developer's Journey

Frustrated with existing AI writing tools, a developer embarked on building a custom blog editor to enhance their writing efficiency. After experimenting with Google Docs + Gemini, Notion AI, ChatGPT, and Claude, they found limitations in each. The goal? A simple Markdown editor with AI features that assist, not replace, the writer. The solution involved building a NextJS application with an MDXEditor, leveraging Perplexity for research and GPT-4 for structured suggestions, focusing on a feature to automatically find and suggest relevant source material. The author details the design and implementation, showcasing a successful first iteration focused on source finding. Future plans include UI improvements, proofreading, autocomplete, and image search/generation.

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Development

What Your Email Address Reveals: An AI Experiment

2025-02-22
What Your Email Address Reveals: An AI Experiment

Large Language Models (LLMs) are trained on massive datasets, potentially including your online footprint. This raises privacy concerns. This article explores how an LLM can infer information like age, profession, background, interests, and location from your email address. A fun tool demonstrates this capability. While LLMs don't directly access sensitive data, inferences based on readily available information pose a risk. The article also details the tool's technical aspects, including LLM analysis, no email or IP address storage.

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AI

AI Music Models: Revolutionizing Music Creation?

2025-02-09
AI Music Models: Revolutionizing Music Creation?

From handcrafted instruments to digital audio workstations, music creation technology has constantly evolved. Now, AI music models are leading a new era, capable of generating entire songs, splitting stems, synthesizing vocals, and creating instrumental sounds. While some fear AI will replace artists, the author believes AI is more of an assistive tool, enhancing efficiency and expanding creative possibilities. In the future, AI-generated music may become indistinguishable from traditionally created music, presenting both opportunities and prompting a reevaluation of 'authentic art'.

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