OpenAI teases Spud, a new ChatGPT model: Will this be the first step into AGI? - Firstpost
OpenAI teases Spud, a new ChatGPT model: Will this be the first step into AGI? Firstpost
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XLTable + Snowflake: From Zero to Pivot Table in 15 Minutes
XLTable + Snowflake: From Zero to Pivot Table in 15 Minutes This guide shows how to connect Excel to Snowflake using XLTable — from creating sample tables to dragging measures into a Pivot Table. No custom data required. Everything runs on a free Snowflake trial account. What You Will Build By the end of this guide you will have: A Snowflake database with realistic sales and inventory data An OLAP cube named myOLAPcube registered in XLTable A live Excel Pivot Table connected to Snowflake — no CSV exports, no BI tools Data Model Overview The sample script creates 8 tables in the olap.public schema: Table Rows Description Times 731 Calendar: every day of 2023–2024 Regions 4 Sales regions: North, South, East, West Managers 5 Sales managers linked to regions (many-to-many) Stores 8 Retail stor
How to Clean Up Xcode and Free 30-50GB on Your Mac
Xcode is the single biggest storage consumer on most developers' Macs. A fresh install starts around 35GB, but over months of development it quietly grows to 80, 100, even 150GB+. Most of that growth is invisible — cached build products, old simulators, debug symbols for iOS versions you no longer use. I've been building iOS apps for years, and this problem is exactly why I built MegaCleaner — I got tired of manually tracking down these hidden folders every few months. But whether you use a tool or do it by hand, you should know where the space goes. This guide covers every Xcode storage category: what it is, where it lives, how big it typically gets, and whether it's safe to delete. No guesswork, no vague advice — just exact paths and clear safety levels. Quick Reference Before we dive in
We Shipped an AI Song Generator. The Hardest Part Wasn't the AI.
We launched Magical Song a few weeks ago. It's an AI song generator where you describe a story, pick a genre, and get a studio-quality track with real vocals in under two minutes. The AI generation part? That was the easy part. Seriously. The part that nearly broke us was everything around it. The UX flow, the payment model, and a fundamental misunderstanding about who our user actually is. Three steps sounds simple. It wasn't. Our flow is: describe your story > pick genre and mood > get your song. Three screens. Should be straightforward, right? The first version had a long form. Name of the person, occasion, details, inside jokes, mood preference, tempo, vocal style. We thought more input = better output. Users thought "this is homework" and bounced. We cut it down to the bare minimum. O
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