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Description

AI drone going rogue during a defense conference and public market investors missing out on the AI boom. Our resident AI research expert, Belinda, joins us to discuss "Segment Anything in High Quality," which proposes HQ-SAM, a modification of the Segment Anything Model that accurately segments any object while maintaining efficiency and zero-shot generalizability. We also dive into "Fine-Grained Human Feedback Gives Better Rewards for Language Model Training," which explores how to improve language models by using fine-grained human feedback as an explicit training signal.

Contact:  sergi@earkind.com

Timestamps:

00:34 Introduction

02:00 AI Drone Goes Rogue

03:25 Y Combinator founder Paul Graham thinks stock market investors are missing out on the AI boom

05:19 localGPT

06:41 Fake sponsor

08:59 Segment Anything in High Quality

10:37 Fine-Grained Human Feedback Gives Better Rewards for Language Model Training

12:25 Evaluating Language Models for Mathematics through Interactions

14:39 Outro