Tech Tips, Tricks & Trivia

Stats from the internet about AI compiled as I come across them - Amazon, Google, Microsoft and Meta are projected to spend $700 billion on A.I. infrastructure in 2026.  Amount of debt taken on by hyperscalers, chipmakers, neoclouds and other companies providing data centers and electricity for the A.I. build out: at least $3 trillion. Share of projected S&P 500 earnings gains for this year driven directly by tech companies spending heavily on A.I.: two-thirds Share of the world’s electricity that data centers currently consume: 1.5 percent Anthropic is the biggest company ever to debut on the stock market. Its potential valuation in the initial public offering is $2 trillion or two thousand billion dollars. In 2026, Anthropic earned $16.3 billion and lost $80.7 billion.  As of September 30, 2026, more than 1,900 Anthropic customers had each spent at least $1 million over the past year. Over 90% of Anthropic’s code is written by Claude Code - Krishna Rao (CFO) 75% of ...

Google now allows eligible certification holders to extend their credentials for 12 months by earning specific skill badges and completing courses through Google Skills instead of taking the proctored exam. I availed this opportunity to renew my Associate Cloud Engineer Certification till next year by completing courses and acquiring skill badges through Google Skills . You can choose any of the following options to count toward renewal of eligible Google Certifications: 2 skill badges 1 skill badge & 2 courses 4 courses These activities must be completed within the 12 months prior to certification expiration The Courses and Labs are thoughtfully designed and regularly updated to stay relevant to the workplace. The AI related modules were particularly useful to me. I compiled a glossary of Google Cloud & AI terms from the material - Agent Platform is a comprehensive machine learning development platform that provides both predictive and generative AI capabilities. It allow...

This Week I Learned -  *  Indra OCR 1.1 is a 1M param model from Datalab that runs on CPU, 15x faster than Tesseract and much more accurate.  1M param OCR model - runs on CPU, 15x faster than tesseract, close to 1B+ param models in accuracy  * Coding is the mother of all AI use cases with 90% of AI spends in most enterprises going to AI coding. Via AI lets developers use what they are using but cuts the costs by 25% - 40%. - Rajan Anandan * Via is a middleware that sits between a CLI / IDE and an LLM, installs in 10 seconds * AI models learn patterns from data during training. Their trained parameters, called weights, are numerical values that help fix how the models process inputs and generate responses. Think of an AI model as a chef who learnt from thousands of recipes. During training, the model learns patterns that help it decide what ingredients to combine and in what proportions to make a certain dish. Its weights shape these decisions. Making the weights av...