He asked Opus 4.8 to build macOS

9 Просмотры

  • Спасибо! Поделитесь с друзьями!

    Вам не понравилось видео. Спасибо за то что поделились своим мнением!

aii
Издатель
The economics of artificial intelligence are shifting rapidly, and a recent development test pitting Claude Opus 4.8 against Qwen 3.7-Max highlights a growing problem for premium LLMs. When tasked with building a complete, macOS-style web operating system, Anthropic's flagship model spent nearly two hours and consumed over 66,000 tokens—only to deliver a codebase that fell short of its cheaper competitor.

While Claude Opus 4.8 remains an elite model with incredible reasoning capabilities, this test exposes a critical inflection point for developers and enterprises alike. As open-weights and highly optimized frontier models close the performance gap, the massive premium charged for top-tier compute is becoming increasingly difficult to justify for day-to-day development workflows.

In this video, we break down the reality of AI token consumption, the performance trade-offs between Claude and Qwen, and why raw model size is no longer the ultimate metric for software engineering automation.
Категория
ChatGPT и AI Чаты
Выполните вход или зарегистрируйтесь для отправки комментария.
Комментариев нет.