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/
