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C(

Chungin (Roy) Lee

05/18/25

@ EO

Improving AI response speed and accuracy is crucial, and hosting models on private servers can help reduce latency and enhance performance.

Video

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How I Broke LeetCode and Raised $5.3M: The Full Story Behind Cluely | Cluely, Chungin (Roy) Lee

@ EO

How I Broke LeetCode and Raised $5.3M: The Full Story Behind Cluely | Cluely, Chungin (Roy) Lee

05/18/25

Related Takeaways

YC

Y Combinator Cast

05/30/25

@ Y Combinator

In voice AI, reducing latency is crucial; a faster model with a refined prompt can help pass the Turing test by minimizing response delays.

DP

Dwarkesh Patel Cast

05/23/25

@ Dwarkesh Patel

The asynchronous nature of AI interactions can significantly improve user experience, especially when models are readily accessible.

AL

Aaron Levie

02/20/25

@ Y Combinator

Enterprises are becoming more comfortable with using hosted AI models, as security, privacy, and compliance measures are being taken seriously by providers like OpenAI.

TB

Tom Blomfield

04/25/25

@ Y Combinator

Experimenting with different AI models is crucial, as their performance can vary significantly across tasks like debugging, planning, and implementing features.

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OpenAI Cast

04/11/25

@ OpenAI

The bottleneck in scaling AI systems can vary, but optimizing code design can help adapt workloads to the existing infrastructure, balancing resource demands effectively.

BM

Bob McGrew

02/01/25

@ Y Combinator

To improve the reliability of AI agents, it is crucial to ensure that their actions are correct a high percentage of the time, which requires significant computational resources.

AW

Alexandr Wang

11/14/23

@ Accel

The majority of data available today is private and proprietary, and leveraging this data will lead to significant improvements in AI models.

YC

Y Combinator Cast

03/06/25

@ Y Combinator

Founders are increasingly self-hosting AI models for sensitive intellectual property, indicating a trend towards more control over their development tools.

a

a16z Cast

05/23/25

@ a16z

Enterprises are centralizing AI model access to manage complexity and ensure responsible use, allowing them to support multiple models and versions effectively.