All that is under the Sun
When the Claude Code source code leaked, exposing 512,000 lines of proprietary architecture, it didn’t cause an industry panic—it sparked an epiphany. The core autonomous execution loop was surprisingly simple. In fact, it was so architecturally transparent that a developer rebuilt a functional Python port over a single weekend using LLMs. This revelation accelerates a …
Imagine you are the most intelligent person in the world. You have read every book, seen every movie, and studied every equation up until the year 2023. But today, you wake up with a strange condition: anterograde amnesia. You can hold a conversation, you can reason brilliantly using your vast library of knowledge, but you …
Imagine you are a detective at the scene of a very peculiar crime. The victim? A once-vibrant houseplant, now droopy and sad. Your suspects? A cast of environmental characters: the amount of sunlight it received, the quantity of water it was given, the type of soil it’s planted in, and the music played in the …
Imagine you’ve built an AI model to sort fruit. After training, you test it on 100 pieces of fruit (80 apples and 20 oranges). The model correctly identifies 85 of them. Is it a good model? Your first instinct might be to say it’s “85% accurate,” and therefore pretty good. But what if I told …
The Art of Choosing One From Many: Categorical Cross-Entropy and the AI’s Grand Decision Imagine you’re a librarian training a new assistant. This isn’t just any library; it has 50,000 different sections. You hand the assistant a book and ask, “Where does this go?” The assistant, being new, doesn’t just point to one section. Instead, …
Imagine you’re trying to teach a machine the difference between a cat and a dog. You show it a picture of a cat, and it says, with 90% confidence, “That’s a cat.” Great! Now you show it a dog, and it says, with 60% confidence, “That’s a cat.” Not so great. The second guess is …