Tools

Explore

Videos Channels Figures

Atmrix

Tools

Explore

Videos Channels Figures

Atmrix

JH

Jake Heller

10/04/24

@ Y Combinator

The transition from 70% to 100% accuracy in AI applications is significant; users are willing to pay substantially more for reliable solutions that work consistently compared to those that only work part of the time.

Video

Why Vertical LLM Agents Are The New $1 Billion SaaS Opportunities

@ Y Combinator

Why Vertical LLM Agents Are The New $1 Billion SaaS Opportunities

10/04/24

Related Takeaways

Jake Heller

10/04/24

@ Y Combinator

Achieving 100% accuracy in AI applications is crucial, especially in legal contexts where providing incorrect information can have serious consequences for lawyers handling important cases.

LangChain Cast

05/30/25

@ LangChain

The last mile of achieving 100% accuracy is the hardest, often requiring human intervention to address inaccuracies in AI applications.

Scott Clark

05/23/25

@ a16z

Trust in AI systems is becoming more critical than raw performance, as users need to feel confident in the reliability and consistency of these systems.

Young Zhao

09/21/24

@ EO

When AI can only deliver 80% of the solution, it's essential to ensure that the remaining 20% is effectively handled by human intervention.

Scott Clark

05/23/25

@ a16z

The importance of trust in AI systems is growing, as users need assurance that these systems will behave reliably and consistently.

a16z Cast

05/29/25

@ a16z

The reliability of AI systems is a major concern as we transition from consumer applications to mission-critical systems like healthcare and defense.

Y Combinator Cast

09/22/23

@ Y Combinator

Trust in AI requires more than just improved accuracy metrics; it involves understanding the nuances of human trust and ensuring that AI technology is developed with user needs in mind.

Trenton Bricken

05/23/25

@ Dwarkesh Patel

The bottleneck for AI development may shift from generating solutions to verifying their accuracy and reliability.

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.