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Bunnyhopping

Trevor Chow

Bunnyhopping to AGI

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Substack
PricingOnly free issuesPublishesMonthly
Issues39Founded4 years agoLast Issue9 months ago
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Latest Issues

RL turns smart models into useful products

Github repo here


Some people think of it purely in terms of intelligence. Today, the models are smashing academic olympiads left and right, as well as completing longer tasks up to 10 hours at a time. To them, it might feel like we’...

9 months ago
23

Pre-training isn't dead, it’s just resting

For two years after GPT-4, every model OpenAI released was smaller. On February 27, 2025, that finally changed. OpenAI launched GPT-4.5, calling it “the next step in scaling the unsupervised learning paradigm”. Here’s what people thought:...

a year ago
46
3

The Intelligence Consolidation

Over the past three years, we have seen the rise and fall of dozens of frontier AI labs.

In many cases, these labs have had shared investors: Sequoia Capital has invested in OpenAI, xAI, SSI, Reflection AI, Magic, Keen Technologies and Har...

a year ago
18
1

From Apples to Strawberries

Three weeks ago, OpenAI released the o1 series.

This publicly marks the start of the “search” paradigm in modern ML, just as ChatGPT’s launch in 2022 marked the arrival of the “learning” paradigm.

With this new paradigm, you should expec...

2 years ago
9
1

Three Kuhnian Revolutions in ML Training

Parameters and data.

These are the two ingredients of training ML models. The total amount of computation (“compute”) you need to do to train a model is proportional to the number of parameters multiplied by the amount of data (measured in...

2 years ago
10

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