Sports Analytics Weekly by kubeia.io - 4/2023
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🎲 Betting
Meet the Yale med student who made thousands - and then was banned from sports betting sites
ctinsider.com
Then, in late May, came the letter, a single-page from the Connecticut Lottery informing him he'd been banned from wagering at off-track betting sites statewide, making him one of only five people in the state on a special list of "prohibited patrons." Just like that, his days betting the way he liked to were over.
💰 Quantitative Finance
Trading at light speed: designing low latency systems in C++ - David Gross - Meeting C++ 2022
youtube.com
Making a trading system "fast" cannot be an afterthought. While low latency programming is sometimes seen under the umbrella of "code optimization", the truth is that most of the work needed to achieve such latency is done upfront, at the design phase. How to translate our knowledge about the CPU and hardware into C++? How to use multiple CPU cores, handle concurrency issues and cost, and stay fast?
Citadel breaks records with $16bn profit
ft.com
Citadel, which manages $54bn in assets, made a 38.1 per cent return in its main hedge fund and strong gains in other products last year, equating to a record $16bn profit for investors after fees.
🤖 Machine Learning
The inside story of ChatGPT: How OpenAI founder Sam Altman built the world’s hottest technology with billions from Microsoft
fortune.com
The A.I. future, according to Altman, could be spectacular—unless it goes spectacularly wrong. Why Big Tech giants and business leaders everywhere are losing sleep over generative A.I. (https://archive.ph/rRvx1)
🚀 Engineering
Myths and Legends in High-Performance Computing
arxiv.org
In this humorous and thought provoking article, we discuss certain myths and legends that are folklore among members of the high-performance computing community. We collected those myths from conversations at conferences and meetings, product advertisements, papers, and other communications such as tweets, blogs, and news articles within (and beyond) our community. We believe they represent the zeitgeist of the current era of massive change, driven by the end of many scaling laws such as Dennard scaling and Moore’s law. While some laws end, new directions open up, such as algorithmic scaling or novel architecture research. However, these myths are rarely based on scientific facts but often on some evidence or argumentation. In fact, we believe that this is the very reason for the existence of many myths and why they cannot be answered clearly. While it feels like there should be clear answers for each, some may remain endless philosophical debates such as the question whether Beethoven was better than Mozart. We would like to see our collection of myths as a discussion of possible new directions for research and industry investment.