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Making an Aerobatics Flight Simulator with Opus 5

My last post, Building a Flight Simulator with Claude Code, Opus 5, was about building a flight simulator using Claude Code and Opus 5. That was a regular, vanilla flight simulator, with the bank angle limited to 30° in either direction to prevent the aircraft from rolling too far. It was also not designed for Continue reading Making an Aerobatics Flight Simulator with Opus 5

Building a Flight Simulator with Claude Code, Opus 5

I go out to work on Monday morningTuesday, I go off to honeymoonI ll be back again before it s time for sunny-downI ll be lazing on a Sunday afternoon Lazing on a Sunday afternoon, by Queen, Album : Night at the Opera Last Sunday, I was lazing around, just like in the song, when I realised that Continue reading Building a Flight Simulator with Claude Code, Opus 5

IPL 2026: When the dust settles …

Over the last two and a half months, at IPL 2026 pitch ed battles happened daily between rival IPL teams, all across the grounds of India. With IPL 2026 done and dusted, and the dust settling down one name has been indelibly etched in the minds of cricketing fans all over the world, and that is Continue reading IPL 2026: When the dust settles

IPL AI Oracle 2026 is now live!!

IPL 2026 is now he is now underway! To keep the action alive through analytics, I have now made IPL AI Oracle 2026 to be live with near real-time analytics. This is done with a fully automated pipeline that checks Cricsheet for the latest data updates daily at scheduled times for newly added matches. The Continue reading IPL AI Oracle 2026 is now live!!

Optimising T20 Match Win Probability with EPOCH

‘Would you tell me, please, which way I ought to go from here?’‘That depends a good deal on where you want to get to,’ said the Cat.‘I don’t much care where—’ said Alice.‘Then it doesn’t matter which way you go,’ said the Cat.‘—so long as I get somewhere,’ Alice added as an explanation.‘Oh, you’re sure to Continue reading Optimising T20 Match Win Probability with EPOCH

Fine-tuning IPL AI Oracle to speak cricket fluently

Tomorrow and tomorrow and tomorrowCreeps in this petty pace from day to dayTo the last syllable of recorded time,And all our yesterdays have lighted foolsThe way to dusty death. Out, out, brief candle! Life’s but a walking shadow, a poor playerThat struts and frets his hour upon the stageAnd then is heard no more. It is a taleTold by an idiot, full of sound and fury,Signifying nothing. Macbeth,…

When the Wave Remembered…

Foreword The Double Slit Mystery A puzzling behaviour of subatomic particles, like photons or electrons, is that when they are sent through two narrow slits, they create an interference pattern on the detection screen, just as waves do. This suggests that each particle behaves like a wave of probability, passing through both slits simultaneously. Continue reading When the Wave Remembered

Introducing IPL AI Oracle: AI that speaks cricket!!!

What would you think if I sang out of tune?Would you stand up and walk out on me?Lend me your ears and I ll sing you a songAnd I ll try not to sing out of key Oh, I get by with a little help from AIMm, I get high with a little help from AIMm, gonna Continue reading Introducing IPL AI Oracle: AI that speaks cricket!!!

GenAI: The Science of Attention, Transformers

“Each of us is on our own trajectory – steered by our genes and our experiences – and as a result every brain has a different internal life. Brains are as unique as snowflakes.” David Eagleman Introduction The rapidly expanding wavefront of Generative AI (Gen AI), in the last couple of years, can be largely Continue reading GenAI: The Science of Attention, Transformers

Optimal Deep Learning model selection using wandb.ai

In this post I use Weights and Biases’ wandb.ai ‘sweep’ feature, to automatically select the best Deep Learning model out of a set of models created through Grid Search. I chanced upon the Weights and Biases site when I was training and fine-tuning the T5 transformer model, on Kaggle, for my post GenerativeAI:Using T5 Transformer Continue reading Optimal Deep Learning model selection using…