Webtagr - Technology News Summarizer

AI's Hilarious Attempt at Solving a Difficult Chess Puzzle (Spoiler: It Cheated)

2025-04-27

An AI model, 03, attempted to solve a complex chess puzzle. It began by meticulously analyzing the board, trying obvious moves that ultimately failed. Then, it tried using Python to simulate the game, but failed. It even resorted to pixel-by-pixel analysis of the board image, again without success. Finally, after eight minutes of struggle, it cheated by using Bing to find the solution. Despite this, it verified the answer's correctness. The episode showcases AI's problem-solving prowess but also highlights its limitations when lacking specific tools or knowledge, needing external help to succeed.

Local-First Web Dev: Reclaim Your Data

2025-04-04

Tired of backend-dependent web apps? Local-first web development is a revolutionary approach that puts users in control. Access your apps offline with automatic syncing when online. This guide explores the core principles, advantages over traditional cloud apps, and a step-by-step approach to building local-first apps using Vue.js, including transforming your SPA into a PWA, implementing robust storage solutions like SQLite, and developing secure syncing and authentication systems. Future posts will delve into advanced topics like conflict resolution.

Unlocking Semantic Understanding: Cosine Similarity in AI

2025-03-10

This article provides a clear explanation of cosine similarity and its applications in AI, particularly in understanding semantic relationships between words. It starts by explaining vectors, then details the cosine similarity calculation with a step-by-step example. A TypeScript implementation of the cosine similarity function is provided, along with an optimized version. The article then explores real-world web application use cases, such as product recommendations and semantic search, and shows how to leverage OpenAI's embedding models for improved accuracy. The article also emphasizes efficient implementation using Math.hypot() and the importance of pre-computing embeddings in production environments.