Claude Opus 4.7 no es tan bueno

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Summary

This video discusses the release of Antropic's Claude Opus 4.7, its capabilities in programming and visual understanding, and its shortcomings in memory retention and browsing. It also delves into Antropic's rapid growth, controversy surrounding its reported revenue, and the broader challenges faced by AI companies like Open AI, including chip shortages and scaling operations.

Highlights

Opus 4.7 Coding Capabilities
00:00:00

Claude Opus 4.7, Antropic's latest AI model, shows significant improvements in programming. Tested against the SWBch Pro, a challenging AI benchmark, Opus 4.7 scored 64.3%, outperforming previous versions and competitors like Gemini 3.1 Pro.

Opus 4.7 Visual Understanding and Business Performance
00:01:31

Opus 4.7 demonstrates strong visual understanding, particularly in interpreting graphs and executing financial tasks, surpassing its predecessor, Opus 4.6. However, it struggles with memory retention, as evidenced by a low score in the MRCR version 2 'needle in a haystack' test.

Memory, Browsing, and General AI Capabilities
00:02:22

While Opus 4.7 shows weaknesses in memory and internet browsing capabilities (Browsecom test), its overall AI intelligence, as measured by Arcagi 2, is comparable to Gemini 3.1 Pro. However, this intelligence comes at a significantly higher cost due to increased token usage leading to a 30% to 150% rise in task costs.

Anthropic's Growth, Revenue, and Challenges
00:08:55

Anthropic has experienced unprecedented growth, with its annual run rate increasing from $15 billion to $30 billion in just two months. Despite this, the company faces criticism regarding its revenue reporting from Open AI's Chief Revenue Officer and struggles with frequent service outages due to scaling challenges and chip shortages.

AI Models and the Future of Work
00:12:12

The video highlights the broader issues facing the AI industry, such as the scarcity of specialized labor (e.g., plumbers, electricians for data centers) and the performance differences between leading AI models. Despite some frustrations with its speed, Claude Code remains a preferred tool for complex programming tasks due to its superior reasoning capabilities.

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