We've all heard the promise: as technology advances, costs should decrease.

But what happens when the opposite occurs?

Anthropic's latest AI model, Claude 3.5 Haiku, outperforms competitors like GPT-4o.

However, its release comes with a surprising twist - a significant price increase for token usage.

- Input tokens up 4x

- Output tokens up 5x

This pricing strategy has sparked intense debate in the AI community.

Many expected lower costs with improved AI capabilities, but Anthropic's move suggests a different trajectory.

Critics argue this approach prioritizes intelligence over computational efficiency, potentially limiting access to advanced AI tools.

What do you think?

Will rising costs become the new norm in AI development, or can we find a sustainable path forward?