The Future of Code Training

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We are training only on permissively licensed code. So we didn't want to make the regiomes take that compile did. I think it's a gray area like from a legal standpoint, especially if you are in the US that you can follow the fair use. We were working on an opt-out feature. It's going to be an hour documentation. Very soon I will send the tweets when it's up and running. That was rethinking with we don't judge back in the days. And perhaps one day we're going to be able to make that happen.

In this episode, Nathan sits down with Replit’s VP of AI, Michele Catasta. Replit is building what CEO Amjad Masad calls "the perfect substrate for AGI." In this discussion, Michele and Nathan discuss Replit's state of AI development report, advantages when it comes to AI development, and the company's custom models. If you're looking for an ERP platform, check out our sponsor, NetSuite: http://netsuite.com/cognitive

We're hiring across the board at Turpentine and for Erik's personal team on other projects he's incubating. He's hiring a Chief of Staff, EA, Head of Special Projects, Investment Associate, and more. For a list of JDs, check out: eriktorenberg.com.

TIMESTAMPS:

(00:00) Episode Preview

(00:00:57) Introduction

(04:44) What is artificial developer intelligence?

(15:05) Sponsors: Netsuite | Omneky

(16:58) Michele's background at Google & decision to join Replit

(19:16) Startups vs incumbents

(24:42) Whether Replit identifies as an e/acc company

(26:37) Staying apolitical on AI while being responsible

(30:36) The rise of LangChain and polarized reactions

(35:14) Estimates on developer productivity gains from AI assistance (2x-10x)

(38:35) Democratizing software development through easy customization

(44:02) AI generating disposable single-use software

(51:33) Optimism about humanity's ability to handle transformative AI

(55:01) The need for nuanced AI safety discussions

(56:14) Replit's data advantage from user code execution

(01:04:31) Replit's approach to training custom AI models

(01:08:51) The value of both open source and commercial models

(01:13:18) Michele’s highlights from being a Google researcher

(01:15:47) World knowledge needs in AI development

(01:20:37) Replit’s approach to AI safety

(01:24:28) The advantage of having a commercial model

(01:25:54) The costs of serving AI features to millions of users

(01:28:49) Modeling cost per user with AI workloads

(01:30:50) Pushing AI inference to the edge

(01:32:18) Ghostwriter integrating more deeply into Replit's IDE

(01:33:37) Replit as a potential "substrate for AGI"

LINKS:

https://replit.com/

Replit's State of AI Development Report: https://blog.replit.com/ai-on-replit

@pirroh (Michele)

@labenz (Nathan)

@eriktorenberg (Erik)

@cogrev_podcast

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