For anyone who discovered this show on Twitter, Riley (@goodside) likely needs no introduction – after all, he spent most of 2022 posting his explorations of OpenAI's text-davinci-002, and quickly became one of the must-follow accounts in AI. Riley Goodside is the world's first Staff Prompt Engineer at Scale AI, and is an expert in prompting large language models and integrating them into AI-powered applications. Few have spent as much time on the language model frontier, so I hope you enjoy this unique conversation with Riley Goodside.

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.

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TIMESTAMPS:

(0:00) Preview of the episode

(05:13) Riley's unique background

(11:24) Riley's original narrow moat

(15:07) Sponsors: Omneky

(17:02) LLMs can take on ncreasingly complex instructions

(27:41) Language models can do math

(30:05) Models can learn from context

(37:29) Fine-tune models for tasks

(38:47) Automate instruction following

(44:34) Large language models are alien text prediction

(52:27) Avoid mode collapse by framing

(59:05) Composing AI capabilities like Lego bricks

(1:00:37) Language models solve tasks

(1:05:37) GPT-3 solves real-world tasks

(1:15:03) GPT-4's amazing capabilities

(1:17:03) Multimodal abilities unlock possibilities

(1:25:03) Compare models for best task fit

(1:26:24) Compare models using trial and error

(1:36:15) AI and the future of work

(1:42:29) GPT-4 can provide second opinions

(1:45:06) AI safety discussion

(1:50:20) AI permeates society cautiously

(1:55:26) The AI revolution underway

TWITTER:

@CogRev_Podcast

@Goodside (Riley)

@scale_AI (Scale)

@labenz (Nathan)

SPONSORS:

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More show notes and reading material released in our Substack: https://cognitiverevolution.substack.com/