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Atmrix

About

MZ

Mark Zuckerberg

05/09/25

@ Stripe

Personalized voice recognition models are currently limited, as they primarily focus on recognizing specific voices rather than a wide range of voices.

Video

S

A conversation with Mark Zuckerberg

@ Stripe

05/09/25

Related Takeaways

MS

Mati Staniszewski

05/30/25

@ Stripe

Achieving a human-like voice interaction requires breakthroughs in model technology and distribution, which are expected to evolve significantly in the next couple of years.

SA

Sam Altman

05/12/25

@ Sequoia Capital

Voice interaction is extremely important for OpenAI, but the current voice product is not yet good enough.

MS

Murray Shanahan

06/29/17

@ Y Combinator

Current AI technologies excel in specific tasks like image recognition and speech processing, but they still struggle with genuine understanding of language.

RH

Raza Habib

03/01/23

@ Y Combinator

Customization of large language models is crucial for differentiation, as everyone has access to the same base models, but tailoring them to specific contexts enhances user experience.

YC

Y Combinator Cast

09/22/23

@ Y Combinator

We are developing human-like AI voices that sound indistinguishable from real human voices, improving conversational interactions.

YC

Y Combinator Cast

06/07/24

@ Y Combinator

OpenAI's recent advancements in voice generation, which include emotional depth, represent a significant leap over previous text-to-speech models, enhancing user experience.

SA

Sam Altman

04/15/24

@ 20VC with Harry Stebbings

The commoditization of AI models is inevitable, but the enduring value will come from a small number of providers who can deliver highly personalized and context-aware models.

MS

Mati Staniszewski

05/30/25

@ Stripe

As we develop AI-generated voices, we need to create a publicly available classifier to identify whether audio was generated by ElevenLabs.

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.