prologic

twtxt.net

"Problems are Solved by Method" 🇦🇺👨‍💻👨‍🦯🏹♔ 🏓⚯ 👨‍👩‍👧‍👧🛥 -- James Mills (operator of twtxt.net / creator of Yarn.social 🧶)

Recent twts from prologic
In-reply-to » Secret To AI Profitability Is Hiring a Lot More Doctorates As tech giants struggle to profit from AI, a growing industry of specialized AI training firms is emerging by hiring doctors, radiologists and other experts to develop commercially viable applications. The $20 billion data services sector, projected to grow 20% annually, is attracting major investment by focusing on high-value, specialized AI applications.

Secret To AI Profitability Is Hiring a Lot More Doctorates

Umm no! It’s figuring out how to build an auto-complete that doesn’t require a nuclear power plant! Oh wait 🤔 we did that like 50 years ago already 🤦‍♂️

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Over the holiday break I was looking at one of my old projects, µLinux. Turns out I did a fine job realy and have decided to revive the project 🥳 – Just getting the build/tests woring on my Mac Studio (Apple Silicon). Check it out! 👌

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#µLinux

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Was just catching up on all the LinkedIN garbage that is well umm garbage 🗑️ One was from a candidate I interviewed, so I had to reply to that 😅 – Anyway…. Saw this random post in my “notifications”:

How do land that job with a Unicorn

First off, you’ll have to define what da fuq a “Unicorn” is! 🤣 My understanding a Unicorn is a mythical creature with a horn on its head and wings 🪽 🤦‍♂️

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In-reply-to » Problem 2: Your SSD-backed database has a usage-pattern that rewards you with a 80% page-cache hit-rate (i.e. 80% of disk reads are served directly out of memory instead of going to the SSD). The median is 50 distinct disk pages for a query to gather its query results (e.g. InnoDB pages in MySQL). What is the expected average query time from your database?

@bender@twtxt.net I reviewed my solution and it’s pretty much spot on! 🤣 the order of magnitude performance is anywhere between 1-10ms

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In-reply-to » Problem 2: Your SSD-backed database has a usage-pattern that rewards you with a 80% page-cache hit-rate (i.e. 80% of disk reads are served directly out of memory instead of going to the SSD). The median is 50 distinct disk pages for a query to gather its query results (e.g. InnoDB pages in MySQL). What is the expected average query time from your database?

@bender@twtxt.net are one of my assumptions off?

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