Simon Willison’s Weblog

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5 items tagged “new-yorker”

2023

A Coder Considers the Waning Days of the Craft (via) James Somers in the New Yorker, talking about the impact of GPT-4 on programming as a profession. Despite the headline this piece is a nuanced take on this subject, which I found myself mostly agreeing with.

I particularly liked this bit, which reflects my most optimistic viewpoint: I think AI assisted programming is going to shave a lot of the frustration off learning to code, which I hope brings many more people into the fold:

What I learned was that programming is not really about knowledge or skill but simply about patience, or maybe obsession. Programmers are people who can endure an endless parade of tedious obstacles.

# 14th November 2023, 4:36 am / new-yorker, programming, ai, chatgpt, llms

ChatGPT Is a Blurry JPEG of the Web. Science fiction author Ted Chiang offers a brilliant analogy for ChatGPT in this New Yorker article: it's a highly lossy compression algorithm for a vast amount of information which works like a JPEG, and uses grammatically correct interpolation to fill back in the missing gaps.

ChatGPT is so good at this form of interpolation that people find it entertaining: they’ve discovered a “blur” tool for paragraphs instead of photos, and are having a blast playing with it.

# 9th February 2023, 9:28 pm / new-yorker, ai, gpt3, generative-ai, chatgpt, llms

2020

How a Cheese Goes Extinct (via) Ruby Tandoh writes for the New Yorker about the culture, history and anthropology of cheesemaking through the lens of the British cheese industry. I learned that two of my favourite British cheeses—Tymsboro and Innes Log, have sadly ceased production. Beautifully written.

# 2nd August 2020, 5:51 pm / cheese, new-yorker

2018

The Friendship That Made Google Huge. The New Yorker profiles Jeff Dean and Sanjay Ghemawat, Google’s first and only level 11 Senior Fellows. This is some of the best writing on complex software engineering topics (map-reduce, Tensor Flow and the like) aimed at a general audience that I’ve ever seen. Also a very compelling case study in pair programming.

# 31st December 2018, 3:56 am / google, mapreduce, new-yorker, tensorflow

2009

One way to establish that peace-preserving threat of mutual assured destruction is to commit yourself beforehand, which helps explain why so many retailers promise to match any competitor's advertised price. Consumers view these guarantees as conducive to lower prices. But in fact offering a price-matching guarantee should make it less likely that competitors will slash prices, since they know that any cuts they make will immediately be matched. It's the retail version of the doomsday machine.

James Surowiecki

# 9th November 2009, 10:06 am / amazon, james-surowiecki, new-yorker, pricing, walmart