Leeds say they will struggle to break even on Vegas as the Super League teams have to pay all their own costs. So how difficult a decision was it to give up a home game to go? “It was a big decision and one that we didn’t take lightly. Part of our strategy is to constantly raise our profile and when you looked at the results from a marketing and audience perspective for Wigan v Warrington in Vegas last year, the eyeballs on that were incredible. You don’t get given a pot of money: you have to generate your own money through ticket sales. But like Leeds, we felt that we have a big enough fanbase to financially support our ability to go out there. It’s an incredibly tough schedule but to put ourselves on that stage was too big an opportunity to turn down. A year ago we said: ‘What if we won the Grand Final? It’ll be the World Club Challenge and straight into Vegas.’ We just decided to worry about it when it happens. And now it’s happened!”
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This month, OpenAI announced their Codex app and my coworkers were asking questions. So I downloaded it, and as a test case for the GPT-5.2-Codex (high) model, I asked it to reimplement the UMAP algorithm in Rust. UMAP is a dimensionality reduction technique that can take in a high-dimensional matrix of data and simultaneously cluster and visualize data in lower dimensions. However, it is a very computationally-intensive algorithm and the only tool that can do it quickly is NVIDIA’s cuML which requires CUDA dependency hell. If I can create a UMAP package in Rust that’s superfast with minimal dependencies, that is an massive productivity gain for the type of work I do and can enable fun applications if fast enough.
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