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The code that I wrote at last night's meeting is posted at http://github.com/ericlavigne/instant-runoff
I have not yet figured out how to post the video online, as it weighs in at 3.5GB.
It's good to see that some others have submitted solutions. Looks like Michael's solution is a bit ahead of mine as it can read votes in from a file. And of course Dan's is way ahead since it has been used for real elections.
wait, really? where can I find Dan's entry?
it is a large project that is not portable. This is why i was not trying to enter it. I could take snippets of code or screenshots and post it for people to look at. time permitting at our next meeting i will demo it.
During your presentation I wasn't fully following your logic as I don't deal with Clojure, Lisp or functional programming much. But now after looking at your code I see pretty much followed your line of attack, when I wrote it I thought I was taking a different approach.
Codetown is a social network. It's got blogs, forums, groups, personal pages and more! You might think of Codetown as a funky camper van with lots of compartments for your stuff and a great multimedia system, too! Best of all, Codetown has room for all of your friends.
Created by Michael Levin Dec 18, 2008 at 6:56pm. Last updated by Michael Levin May 4, 2018.
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Fabien Deshayes spoke on how Monzo has created and optimised their developer experience teams in a talk at QCon London 2025. Deshayes outlined some techniques for building an effective Developer Experience platform, focusing on three key aspects: assembling effective teams, building impactful products, and communicating value across the organisation.
By Matt SaundersDiff Authoring Time (DAT). DAT is a new metric developed by engineers at Meta to measure the duration required for developers to submit changes, known as "diffs," to the codebase. By tracking the time from the initiation of a code change to its submission, DAT offers insights into the efficiency of the development process and helps identify areas for improvement.
By Craig RisiAnil Rajput and Rema Hariharan discuss the crucial role of CPU architecture in optimizing Large Language Model (LLM), specifically Llama, performance. They explain hardware-software synchronization for TCO reduction and latency improvements. Learn about core utilization, cache impact, memory bandwidth considerations, and the benefits of chiplet architecture for LLM deployments on CPUs.
By Anil Rajput, Rema HariharanIn this episode, Thomas Betts speaks with Vlad Khononov about balancing coupling in software design, the subject of his recent book. They discuss how coupling is necessary for a system to function, but has to be balanced to allow the system to evolve. Vlad identifies three factors that can be used to measure coupling: knowledge sharing, distance, and volatility.
By Vlad KhononovIn this article, authors discuss how multi-model retrieval augmented generation (RAG) techniques can enhance AI by integrating multiple modalities like text, images, and audio for deeper contextual understanding, with help of a practical example of a healthcare application.
By Suruchi Shah, Suraj Dharmapuram
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