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Machine Learning Street Talk (MLST)에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Machine Learning Street Talk (MLST) 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
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"Blurring Reality" - Chai's Social AI Platform (SPONSORED)

50:59
 
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Manage episode 485085456 series 2803422
Machine Learning Street Talk (MLST)에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Machine Learning Street Talk (MLST) 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

"Blurring Reality" - Chai's Social AI Platform - sponsored

This episode of MLST explores the groundbreaking work of Chai, a social AI platform that quietly built one of the world's largest AI companion ecosystems before ChatGPT's mainstream adoption. With over 10 million active users and just 13 engineers serving 2 trillion tokens per day, Chai discovered the massive appetite for AI companionship through serendipity while searching for product-market fit.

CHAI sponsored this show *because they want to hire amazing engineers* --

CAREER OPPORTUNITIES AT CHAI

Chai is actively hiring in Palo Alto with competitive compensation ($300K-$800K+ equity) for roles including AI Infrastructure Engineers, Software Engineers, Applied AI Researchers, and more. Fast-track qualification available for candidates with significant product launches, open source contributions, or entrepreneurial success.

https://www.chai-research.com/jobs/

The conversation with founder William Beauchamp and engineers Tom Lu and Nischay Dhankhar covers Chai's innovative technical approaches including reinforcement learning from human feedback (RLHF), model blending techniques that combine smaller models to outperform larger ones, and their unique infrastructure challenges running exaflop-class compute.

SPONSOR MESSAGES:

***

Tufa AI Labs is a brand new research lab in Zurich started by Benjamin Crouzier focussed on o-series style reasoning and AGI. They are hiring a Chief Engineer and ML engineers in Zurich and SF.

Goto https://tufalabs.ai/

***

Key themes explored include:

- The ethics of AI engagement optimization and attention hacking

- Content moderation at scale with a lean engineering team

- The shift from AI as utility tool to AI as social companion

- How users form deep emotional bonds with artificial intelligence

- The broader implications of AI becoming a social medium

We also examine OpenAI's recent pivot toward companion AI with April's new GPT-4o, suggesting a fundamental shift in how we interact with artificial intelligence - from utility-focused tools to companion-like experiences that blur the lines between human and artificial intimacy.

The episode also covers Chai's unconventional approach to hiring only top-tier engineers, their bootstrap funding strategy focused on user revenue over VC funding, and their rapid experimentation culture where one in five experiments succeed.

TOC:

00:00:00 - Introduction: Steve Jobs' AI Vision & Chai's Scale

00:04:02 - Chapter 1: Simulators - The Birth of Social AI

00:13:34 - Chapter 2: Engineering at Chai - RLHF & Model Blending

00:21:49 - Chapter 3: Social Impact of GenAI - Ethics & Safety

00:33:55 - Chapter 4: The Lean Machine - 13 Engineers, Millions of Users

00:42:38 - Chapter 5: GPT-4o Becoming a Companion - OpenAI's Pivot

00:50:10 - Chapter 6: What Comes Next - The Future of AI Intimacy

TRANSCRIPT: https://www.dropbox.com/scl/fi/yz2ewkzmwz9rbbturfbap/CHAI.pdf?rlkey=uuyk2nfhjzezucwdgntg5ubqb&dl=0

  continue reading

233 에피소드

Artwork
icon공유
 
Manage episode 485085456 series 2803422
Machine Learning Street Talk (MLST)에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Machine Learning Street Talk (MLST) 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

"Blurring Reality" - Chai's Social AI Platform - sponsored

This episode of MLST explores the groundbreaking work of Chai, a social AI platform that quietly built one of the world's largest AI companion ecosystems before ChatGPT's mainstream adoption. With over 10 million active users and just 13 engineers serving 2 trillion tokens per day, Chai discovered the massive appetite for AI companionship through serendipity while searching for product-market fit.

CHAI sponsored this show *because they want to hire amazing engineers* --

CAREER OPPORTUNITIES AT CHAI

Chai is actively hiring in Palo Alto with competitive compensation ($300K-$800K+ equity) for roles including AI Infrastructure Engineers, Software Engineers, Applied AI Researchers, and more. Fast-track qualification available for candidates with significant product launches, open source contributions, or entrepreneurial success.

https://www.chai-research.com/jobs/

The conversation with founder William Beauchamp and engineers Tom Lu and Nischay Dhankhar covers Chai's innovative technical approaches including reinforcement learning from human feedback (RLHF), model blending techniques that combine smaller models to outperform larger ones, and their unique infrastructure challenges running exaflop-class compute.

SPONSOR MESSAGES:

***

Tufa AI Labs is a brand new research lab in Zurich started by Benjamin Crouzier focussed on o-series style reasoning and AGI. They are hiring a Chief Engineer and ML engineers in Zurich and SF.

Goto https://tufalabs.ai/

***

Key themes explored include:

- The ethics of AI engagement optimization and attention hacking

- Content moderation at scale with a lean engineering team

- The shift from AI as utility tool to AI as social companion

- How users form deep emotional bonds with artificial intelligence

- The broader implications of AI becoming a social medium

We also examine OpenAI's recent pivot toward companion AI with April's new GPT-4o, suggesting a fundamental shift in how we interact with artificial intelligence - from utility-focused tools to companion-like experiences that blur the lines between human and artificial intimacy.

The episode also covers Chai's unconventional approach to hiring only top-tier engineers, their bootstrap funding strategy focused on user revenue over VC funding, and their rapid experimentation culture where one in five experiments succeed.

TOC:

00:00:00 - Introduction: Steve Jobs' AI Vision & Chai's Scale

00:04:02 - Chapter 1: Simulators - The Birth of Social AI

00:13:34 - Chapter 2: Engineering at Chai - RLHF & Model Blending

00:21:49 - Chapter 3: Social Impact of GenAI - Ethics & Safety

00:33:55 - Chapter 4: The Lean Machine - 13 Engineers, Millions of Users

00:42:38 - Chapter 5: GPT-4o Becoming a Companion - OpenAI's Pivot

00:50:10 - Chapter 6: What Comes Next - The Future of AI Intimacy

TRANSCRIPT: https://www.dropbox.com/scl/fi/yz2ewkzmwz9rbbturfbap/CHAI.pdf?rlkey=uuyk2nfhjzezucwdgntg5ubqb&dl=0

  continue reading

233 에피소드

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