The Pyramids are difficult to photograph. You’re close enough to touch them and yet they’re so fucking big. Standing at the base and looking up the how did they make that? factor comes into play. The individual blocks themselves, made out of limestone, are the height of a tiktok influencer – make …
What a misfortune, although you are made
for fine and great works
this unjust fate of yours always
denies you encouragement and success;
that base customs should block you;
and pettiness and indifference.
And how terrible the day when you yield
(the day when you give up and yield),
and you leave on foot for Susa,
and you go to the monarch Artaxerxes
who favorably places you in his court,
and offers you satrapies and the like.
And you accept them with despair
these things that you do not want. …
Grahame Sydney’s book The Art of Grahame Sydney has been on the coffee table the last couple of months. Central Otago landscapes are difficult to capture in central Melbourne, but I’ve taken inspiration from his other works and created this frame.
All photos were shot on the Olympus OM-1 with …
No analogies, no metaphors. This model is based off the excellent paper Defining, Measuring, and Managing Technical Debt by Ciera Jaspan and Collin Green. The findings come from the Engineering Productivity Research Team at Google based on five years of company-wide engineer surveys. This post is largely copied verbatim from the paper. Full credit to the authors.
Tech Debt is omnipresent and nebulous. We narrow it to only refer to the detrimental: Technical Debt or un-necessary complexity which …
August 2024 Update: Now a solved problem. Use Structured Outputs .
Large language models (LLMs) return unstructured output. When we prompt them they respond with one large string. This is fine for applications such as ChatGPT, but in others where we want the LLM to return structured data such as lists or key value pairs, a parseable response is needed. In Building A ChatGPT-enhanced Python REPL I used a technique to prompt the LLM to return output in a text format I could parse. Here I explore …