chaos @Crack_svtter

Enhancing local general-purpose clients with some search APIs is a viable approach. However, the additional costs and poor user experience make local general-purpose chat clients less competitive against online large model systems.

chaos @Crack_svtter

2 months ago

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chaos @Crack_svtter

2 months ago

After the large model platform introduced the RAG feature, pure large model APIs have basically become insufficient for daily use.

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chaos @Crack_svtter

2 months ago

一个带思考的模型去对比不带思考的，咋说呢...

orange.ai @oran_ge

2 months ago

一个带思考的模型去对比不带思考的，咋说呢...

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chaos @Crack_svtter

3 months ago

There is a clear distinction between collaborating with an agent and collaborating with a code agent.

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chaos @Crack_svtter

3 months ago

You can't connect the context when it benefits you and then address things in isolation when it doesn't.

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chaos @Crack_svtter

3 months ago

Due to context limitations, cursor currently cannot effectively handle memory across different conversations. This might be the main reason for rules and memory-bank. #cursor

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chaos @Crack_svtter

3 months ago

aminer.cn 最初体验还是不错的，现在什么功能都用不了，登录也登录不上。搞不懂。。

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chaos @Crack_svtter

3 months ago

Is sleeping the backpropagation of humans?

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chaos @Crack_svtter

3 months ago

在这个基础上，如何控制 SaaS 服务的质量，可能是一个新问题。如果这些 SaaS 本身不需要提供数据，那么是可以抽象出一个标准来保证服务稳定性的。

chaos @Crack_svtter

3 months ago

在这个基础上，如何控制 SaaS 服务的质量，可能是一个新问题。如果这些 SaaS 本身不需要提供数据，那么是可以抽象出一个标准来保证服务稳定性的。

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chaos @Crack_svtter

3 months ago

类比制造业中的工厂，大量的新 SaaS 服务好比构件。工程师可以自由的组合这些构件，节省时间，来创造新的产品。

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chaos @Crack_svtter

4 months ago

As more and more websites stop supporting Firefox and instead use Chrome's proprietary APIs, a de facto monopoly in browsers is imminent. #firefox

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chaos @Crack_svtter

4 months ago

Yet, they failed to translate their technological innovations into market advantages.

chaos @Crack_svtter

4 months ago

Yet, they failed to translate their technological innovations into market advantages.

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chaos @Crack_svtter

4 months ago

Google's decline does not stem from the performance of its AI models but appears to originate from poor marketing policies. Kubernetes came from Google, and the Transformer (GPT-4's basic network module) also came from Google.