The Gradient: Perspectives on AI

Richard Socher: Re-Imagining Search

Mar 16, 2023

01:37:49

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Episode guests

Richard Socher

Highlights

AI Chapters

Episode notes

Iterating on AI output will be the key skill in the future

01:27

The Best Leaders Are the Ones Who Hire the Best Teams

00:58

Google Is a Classic Innovators Dilemma

01:17

The Future of Generative Models in Search Engines and the Internet

00:55

Introduction

2min

How Did You Get Into Machine Learning?

6min

Early PhD in Computer Science

5min

How to Predict the Next Amino Acid Sequence

3min

The Future of Artificial Intelligence

6min

What Is the Biggest Disadvantage With Deep Learning?

5min

The Nature of Language

6min

The Importance of Grounding in the Physical World for an Understanding of Language

3min

Is There a Necessary Condition for Artificial Intelligence?

3min

10.

Is There a Relationship Between Intelligence and Natural Language Processing?

5min

11.

A Large Language Model Should Be Able to Tell You the Truth

3min

12.

How Did You Feel Unprepared for Your PhD and Your Role at Salesforce?

3min

13.

I've Learned a Ton of Management Lessons From Salesforce

3min

14.

How Do You Think You Can Be Ahead of Your Time?

4min

15.

Is There a Future for AI to Support Policy Making?

3min

16.

The Dynamics in the Field of Linguistics and Natural Language Processing

5min

17.

Are You a CEO of U.com?

5min

18.

Is There a Fair Structure for the Internet?

4min

19.

Search Engines

4min

20.

The Future of Large Language Models

2min

21.

Is There a Future for Artists?

6min

22.

The Distinction Point You Made About Artificial Intelligence

3min

23.

Is There a Future for AI?

4min

24.

How to Merge Object Oriented Reasoning With Logical Modeling

3min

25.

Start Your Own Company in the Space Thing

3min

In episode 64 of The Gradient Podcast, Daniel Bashir speaks to Richard Socher.

Richard is founder and CEO of you.com, a new search engine that lets you personalize your search workflow and eschews tracking and invasive ads. Richard was previously Chief Scientist at Salesforce where he led work on fundamental and applied research, product incubation, CRM search, customer service automation and a cross-product AI platform. He was an adjunct professor at Stanford’s CS department as well as founder and CEO/CTO of MetaMind, which was acquired by Salesforce in 2016. He received his PhD from Stanford’s CS Department in 2014.

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Outline:

* (00:00) Intro

* (02:20) Richard Socher origin story + time at Metamind, Salesforce (AI Economist, CTRL, ProGen)

* (22:00) Why Richard advocated for deep learning in NLP

* (27:00) Richard’s perspective on language

* (32:20) Is physical grounding and language necessary for intelligence?

* (40:10) Frankfurtian b******t and language model utterances as truth

* (47:00) Lessons from Salesforce Research

* (53:00) Balancing fundamental research with product focus

* (57:30) The AI Economist + how should policymakers account for limitations?