@MaximeRivest: I never thought that with only 5000 training examples, 4 hours of training and 80$ I could make a 4b model beat gpt 5.6…

X AI KOLs Timeline News
fine-tuning small-models cost-efficient-training coding-agents distillation llm-economics

Summary

Maxime Rivest claims he fine-tuned a 4B model using just 5000 training examples, 4 hours of training, and an $80 budget to outperform GPT 5.6, arguing that cheap training data and capable coding agents now make custom model training accessible.

I never thought that with only 5000 training examples, 4 hours of training and 80$ I could make a 4b model beat gpt 5.6 terra. training data is now cheap and plentiful, coding agent are now capable enough to do the work. you just need to figure out th ask you want to teach you https://t.co/gyASTc5n9H
Original Article
View Cached Full Text

Cached at: 10/05/26, 03:22 AM

I never thought that with only 5000 training examples, 4 hours of training and 80$ I could make a 4b model beat gpt 5.6 terra.

training data is now cheap and plentiful, coding agent are now capable enough to do the work. you just need to figure out th ask you want to teach you https://t.co/gyASTc5n9H

Similar Articles

@gnjrdi: High levels of bullshitery

X AI KOLs Following

A tweet claims that with only 5,000 training examples, 4 hours of training, and $80, a 4B parameter model can beat a frontier model like GPT-5.6, arguing that training data is now cheap and plentiful thanks to capable coding agents.

Fine-tuning now available for GPT-4o

OpenAI Blog

OpenAI launches fine-tuning for GPT-4o and GPT-4o mini, allowing developers to customize models with their own datasets at lower costs. The feature includes free training tokens (1M/day for GPT-4o and 2M/day for GPT-4o mini through September 23) and is available to all paid-tier developers.