Скачать или смотреть Hard Proof That AI Agents Have Hit A Brick Wall

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This video discusses the limitations of AI agent research, using the research paper "Schema Agent: A Multi-agents Framework for Generating Relational Database Schema" as an example.

Here are the key points:

The presenter argues that AI agent research has hit an "insurmountable wall" [00:49].
The experimental results of the featured paper are "laughable" [02:19], with the baseline GPT 3.5 turbo model outperforming the paper's method in some cases [02:36].
The presenter suggests that using the framework from the paper could be detrimental compared to using a base GPT 3.5 turbo [04:20].
The presenter recommends asking for real-world benchmark tests and failure examples when dealing with agents [06:23].
The presenter claims that agent frameworks have low accuracy scores, around 55% [07:00].
The presenter believes that the Transformers framework is the bottleneck in AI agent development [09:30].
The presenter advises recognizing the limitations of the technology instead of just hyping it up [09:47].