
Clear, concise, and intuitive explanations of AI.
| Platform | Pricing | Only free issues | Publishes | Weekly | |
|---|---|---|---|---|---|
| Issues | 7 | Founded | 5 years ago | Last Issue | 2 years ago |
| Active | |||||

If AI is the Wild West, does that make data the new gold? - Matthew McConaughey1
Providing data for AI is big business. As AI usage continues to explode, the value of high-quality training data has skyrocketed.
In March, Google and Red...
This post assumes you’re familiar with the Neural Scaling Laws we discussed last week. If you’re not, read more here:
We can predict general Large Language Model performance as a function of compute, dataset size, and parameter cou...
Note: This post assumes you’re familiar with FLOPs. If you aren’t, start with this explainer first.
Anthropic intends to train its new model, Claude-Next, using ~100x the compute of GPT-3. That’s 1025 FLOPs or, if you prefer dollars...
The open-source large language model that “challenged” ChatGPT, Vicuna-13B.
Model IQ: measuring general LLM performance.
ChatGPT is my doctor: measuring specific LLM performance.
This is post 3...
This post assumes you’re familiar with Large Language Models as next-token predictors. If you’re not, read this first:
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Because if you think about it, what does it mean to predict the next token well enough? It's actua...
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The writers behind this newsletter.
Machine learning engineer. Previously ML at Stripe, Reddit, etc.
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