Latent Space: The AI Engineer Podcast — Practitioners talking LLMs, CodeGen, Agents, Multimodality, AI UX, GPU Infra and all things Software 3.0

[AIE Summit Preview #2] The AI Horcrux — Swyx on Cognitive Revolution

Oct 8, 2023

01:29:48

Snipd AI

Swyx, AI Engineer and host of the Cognitive Revolution pod, discusses the state of AI Engineering, AI Engineer Summit Schedule, backgrounds of AI engineers, key tools for AI engineers, finding and hiring AI engineers, the future of AI technology, React app structure, GBC4 Vision Access for vision and voice modalities, OpenAI's dominance in adjacent use cases, and challenges of offering AI app bundles.

AI Summary

Highlights

AI Chapters

Episode notes

Podcast summary created with Snipd AI

Quick takeaways

AI engineering is a distinct field that requires specialized skills in AI UX, coding tools, and infrastructure.

AI agents aim to optimize everyday processes and show promise in areas like code generation and data analysis.

Responsible development and deployment of AI systems is crucial, focusing on safety and ethical considerations.

Narrow AI systems that handle specific tasks effectively can be cost-effective alternatives to human engineers and aid in code generation and software architecture.

Deep dives

The AI Engineer Summit and its Lineup

The AI Engineer Summit is a gathering of AI professionals, featuring a lineup of speakers who are experts in various aspects of AI engineering. The summit aims to provide a platform for engineers to share their knowledge and insights. The lineup includes representatives from companies like AutoGBPT, Notion, Amazon, GitHub, and Microsoft, covering topics ranging from foundation models and frameworks to quality control measures and agent development. The summit seeks to strike a balance between established industry leaders and emerging projects. The discussions will explore the current state of AI engineering and shed light on the challenges and opportunities that lie ahead.

Using Human Loop for Prompt Development and Management

02:34

Latent Space University

01:18

The Future of AI Agents and Autonomy

01:23

You don’t need credentials to contribute to this field

02:33

Introduction

2min

The Emerging Role of AI Engineers

16min

Tooling for AI Engineers

7min

Finding and Hiring AI Engineers

7min

The Future of AI Technology

25min

Discussion on React app structure, visual defect fixing, and GBC4 Vision Access

4min

OpenAI's Dominance in Adjacent Use Cases

19min

AI Bundle: Challenges and Opportunities

10min

This is a special double weekend crosspost of AI podcasts, helping attendees prepare for the AI Engineer Summit next week. After our first friendly feedswap with the Cognitive Revolution pod, swyx was invited for a full episode to go over the state of AI Engineering and to preview the AI Engineer Summit Schedule, where we share many former CogRev guests as speakers.

For those seeking to understand how two top AI podcasts think about major top of mind AI Engineering topics, this should be the perfect place to get up to speed, which will be a preview of many of the conversations taking place during the topic tables sessions on the night of Monday October 9 at the AI Engineer Summit.

While you are listening, there are two things you can do to be part of the AI Engineer experience. One, join the AI Engineer Summit Slack. Two, take the State of AI Engineering survey and help us get to 1000 respondents!

Links

* AI Engineer Summit (Join livestream and Slack community)

* State of AI Engineering Survey (please help us fill this out to represent you!)

* Cognitive Revolution full episode with Nathan

* swyx’s ai-notes (featuring Communities in README.md)

* We referenced The Eleuther AI Mafia

* This podcast intro voice was AI Anna again, from our Wondercraft pod!

Timestamps

* (00:00:49) AI Nathan’s intro

* (00:03:14) What is an AI engineer?

* (00:05:56) What backgrounds do AI engineers typically have?

* (00:17:13) Swyx’s Discord AI project

* (00:20:41) Key tools for AI engineers

* (00:23:42) HumanLoop, Guardrails, Langchain

* (00:27:01) Criteria for identifying capable AI engineers when hiring

* (00:30:59) Skepticism around AI being a fad and doubts about contributing to AI

* (00:34:03) AI Engineer Conference speaker lineup

* (00:41:14) AI agents and two years to AGI

* (00:46:04) Expectations and disagreement around what AI agent capabilities will work soon

* (00:50:12) Swyx’s OpenAI thesis

* (00:53:03) AI safety considerations and the role of AI engineers

* (00:56:24) Disagreement on whether AI will soon be able to generate code pull requests

* (01:01:07) AI helping non-technical people to code

* (01:01:49) Multi-modal Chat-GPT and the future implications

* (01:03:33) Nathan living in the same dorm as Mark Zuckerberg

* (01:04:44) Competitive dynamics between OpenAI and other AI model developers

* (01:05:39) Play.ht vs ElevenLabs

* (01:09:20) The tension between platforms and developers building on top of them

* (01:11:40) The best thing startups can do to compete with foundation model providers

* (01:16:26) User identity/authentication services like Login with OpenAI

* (01:19:20) Google vs the other live players

* (01:20:46) AI Horcruxes / Pendants

* (01:22:05) The concept of an AI app bundle for consumers and developers

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