Artificial General Intelligence (AGI) Show with Soroush Pour

Ep 1 - When will AGI arrive? - Logan Riggs Smith (AGI alignment researcher)

Nov 26, 2022

01:10:51

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Episode notes

Introduction

2min

The Implications of Artificial General Intelligence

3min

The Future of Artificial General Intelligence

3min

The Future of Machine Intelligence

3min

How to Scale a Model to Get Better Results

3min

Scaling Parameters for Large Language Models

5min

How to Train a Large Language Model for Programming

3min

How to Automate Machine Learning Research

2min

The Future of ML Automation

2min

10.

How to Automate Co-Pilot Coding

3min

11.

The Implications of Synthetic Data for Machine Learning

1min

12.

Open Eye and Microsoft's GitHub Co-Pilot

2min

13.

How to Accelerate ML Research

4min

14.

Automating ML Research to Improve Sample Efficiency

4min

15.

The Limits of Large Language Models

2min

16.

The Impossible Ceiling in Scaling Laws

2min

17.

How to Scale Up AI Models to Be General

5min

18.

The Cost of Computing for General Intelligence

3min

19.

The Evolution of General Intelligence

4min

20.

The Limits of Gradient Descent

2min

21.

The Future of Architecture Search

3min

22.

The Pathway to AI AGI

2min

23.

The Importance of Having Short Timelines

2min

24.

How to Align AI Models With Human Interests

4min

We speak with AGI alignment researcher Logan Riggs Smith about his timelines for AGI. He also speaks to how we might get there and some of the implications.

Hosted by Hunter Jay and Soroush Pour

Show links

Further writings from Logan Riggs Smith
Cotra report on AGI timelines:
- Original report (very long)
- Scott Alexander analysis of this report

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Artificial General Intelligence (AGI) Show with Soroush Pour

Ep 1 - When will AGI arrive? - Logan Riggs Smith (AGI alignment researcher)

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