Michael C Hogan

Agile Product Development & Innovation Strategy

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Hedy, a multilingual programming language

The popular programming languages are English. Here’s what happens when people can code in their own language:

https://podcasts.apple.com/us/podcast/corecursive-coding-stories/id1330329512?i=1000657787036

Hedy is the easy way to get started with textual programming languages! Hedy is free to use, open source, and unlike any other textual programming language in three ways.

  1. Hedy is multi-lingual, you can use Hedy in your own language
  2. Hedy is gradual, so you can learn one concept and its syntax a time
  3. Hedy is built for the classroom, allowing teachers to fully customize their student’s experience

More info about the Hedy language: https://www.hedycode.com/

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How does ChatGPT write?

Current LLMs don’t “understand”. They guess based on probabilities. The guesses sound statistically human. Sometimes the guesses are useful; sometimes they’re wrong (“hallucinated”). It often seems like more effort to verify LLM output than to just do the work from scratch. Output seems challenging to reproduce.

Here’s an overview by Steven Wolfram via Dave Winer’s RSS feed (Dave created RSS)…

(Source: stephenwolfram.com)

And the remarkable thing is that when ChatGPT does something like write an essay what it’s essentially doing is just asking over and over again “given the text so far, what should the next word be?”—and each time adding a word. (More precisely, as I’ll explain, it’s adding a “token”, which could be just a part of a word, which is why it can sometimes “make up new words”.)

—stephenwolfram.com

Read the rest at https://writings.stephenwolfram.com/2023/02/what-is-chatgpt-doing-and-why-does-it-work/.

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Checkout the source code for the Apollo moon mission

Resharing a link I discovered through the Adafruit blog

The AGC’s source code is an excellent example of organising a large and complex codebase. Written in an assembly language, the code is impressively well-structured. Tasks are split into separate modules and routines for better maintainability, a practice that is even more vital in today’s complex software projects.

https://www.bytelimes.com/what-we-can-learn-from-the-code-that-took-us-to-the-moon/