UA gotta be kidding

How masscan works

Why Train When You Can Optimize?

Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting [pdf]

Issue #213

5/3/2022

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Hi
Two things. One, sorry for the delay today. Had to clean up some messes from spending all day doing production server updates yesterday. It's always a ball/ovary clenching moment when you finish a production server major OS version update. I had to do three yesterday. Fortunately the fallout was minimal. Two, I forgot the research paper for the issue yesterday! Luckily a reader reminded me of it in the Discord channel yesterday, so I just added it in today's issue. Anyway, here is that juicy content you've been salivating for.

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UA gotta be kidding

Published: 30 March 2022
Tags: web


Brian Kardell illuminates some of the history of the user agent string and how it impacts modern data privacy on the web.


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How masscan works

Published: 2 May 2022
Tags: networking


Artem Golubin goes into the nitty gritty of masscan, a "fast port scanner capable of scanning the entire IPv4 internet in under five minutes".


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Why Train When You Can Optimize?

Published: 21 April 2022
Tags: javascript, optimization


Justin Meiners illuminates the wonderful world of optimization by implementing a drawing assistant in JavaScript that'll help you draw straight lines, circles, and squares on a canvas.


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Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting [pdf]

Published: 28 March 2021
Tags: ai


Haoyi Zhou, Shanghang Zhang, Jieqi Peng, Shuai Zhang, Jianxin Li, Hui Xiong, and Wancai Zhang present a novel implementation of a transformer to help make machine learning models that depend on time-series data better at forecasting.


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Stats (updated daily)

Sent: 2736

Opens: 1216

Clicks: 358

Link Clicks Clicks % Unique Clicks Unique Clicks %
UA gotta be kidding 73 25.44% 78 25.32
How masscan works 100 34.84% 110 35.71
Why Train When You Can Optimize? 79 27.53% 84 27.27
Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting [pdf] 35 12.20% 36 11.69

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