Scaling is not the story anymore. What GPT 6 might change (otieu.com)

Everyone talks about model size, but that feels mostly solved.

The real open questions for a GPT 6 level system seem to be reliability, long term memory, tool autonomy, and knowing when it is wrong.

Curious what people here think is still fundamentally broken in current LLMs that a next generation model would need to address.

Flagged because your link is just an ad