London Futurists

AI overview: 2. The Big Bang and the years that followed


Listen Later

In this episode, co-hosts Calum Chace and David Wood continue their review of progress in AI, taking up the story at the 2012 "Big Bang".

00.05: Introduction: exponential impact, big bangs, jolts, and jerks
00.45: What enabled the Big Bang
01.25: Moore's Law
02.05: Moore's Law has always evolved since its inception in 1965
03.08: Intel's tick tock becomes tic tac toe
03.49: GPUs - Graphic Processing Units
04.29: TPUs - Tensor Processing Units
04.46: Moore's Law is not dead or dying
05.10: 3D chips
05.32: Memristors
05.54: Neuromorphic chips
06.48: Quantum computing
08.18: The astonishing effect of exponential growth
09.08: We have seen this effect in computing already. The cost of an iPhone in the 1950s.
09.42: Exponential growth can't continue forever, but Moore's Law hasn't reached any theoretical limits
10.33: Reasons why Moore's Law might end: too small, too expensive, not worthwhile
11.20: Counter-arguments
12.01: "Plenty more room at the bottom"
12.56: Software and algorithms can help keep Moore's Law going
14.15: Using AI to improve chip design
14.40: Data is critical
15.00: ImageNet, Fei Fei Lee, Amazon Turk
16.10: AIs labelling data
16.35: The Big Bang
17.00: Jürgen Schmidhuber challenges the narrative
17.41: The Big Bang enabled AI to make money
18.24: 2015 and the Great Robot Freak-Out
18.43: Progress in many domains, especially natural language processing
19.44: Machine Learning and Deep Learning
20.25: Boiling the ocean vs the scientific method's hypothesis-driven approach
21.15: Deep Learning: levels
21.57: How Deep Learning systems recognise faces
22.48: Supervised, Unsupervised, and Reinforcement Learning
24.00: Variants, including Deep Reinforcement Learning and Self-Supervised Learning
24.30: Yann LeCun's camera metaphor for Deep Learning
26.05: Lack of transparency is a concern
27.45: Explainable AI. Is it achievable?
29.00: Other AI problems
29.17: Has another Big Bang taken place? Large Language Models like GPT-3
30.08: Few-shot learning and transfer learning
30.40: Escaping Uncanny Valley
31.50: Gato and partially general AI

Music: Spike Protein, by Koi Discovery, available under CC0 1.0 Public Domain Declaration

For more about the podcast hosts, see https://calumchace.com/ and https://dw2blog.com/

Real Talk About Marketing

An Acxiom podcast where we discuss marketing made better, bringing you real...

Listen on: Apple Podcasts   Spotify

...more
View all episodesView all episodes
Download on the App Store

London FuturistsBy London Futurists

  • 4.7
  • 4.7
  • 4.7
  • 4.7
  • 4.7

4.7

9 ratings


More shows like London Futurists

View all
In Our Time by BBC Radio 4

In Our Time

5,389 Listeners

BBC Inside Science by BBC Radio 4

BBC Inside Science

401 Listeners

Making Sense with Sam Harris by Sam Harris

Making Sense with Sam Harris

26,462 Listeners

a16z Podcast by Andreessen Horowitz

a16z Podcast

1,032 Listeners

The Gray Area with Sean Illing by Vox

The Gray Area with Sean Illing

10,694 Listeners

Azeem Azhar's Exponential View by Azeem Azhar

Azeem Azhar's Exponential View

613 Listeners

Google DeepMind: The Podcast by Hannah Fry

Google DeepMind: The Podcast

198 Listeners

Dwarkesh Podcast by Dwarkesh Patel

Dwarkesh Podcast

407 Listeners

Big Technology Podcast by Alex Kantrowitz

Big Technology Podcast

442 Listeners

The Rest Is Politics by Goalhanger

The Rest Is Politics

3,276 Listeners

The News Agents by Global

The News Agents

981 Listeners

Moonshots with Peter Diamandis by PHD Ventures

Moonshots with Peter Diamandis

477 Listeners

The Rest Is Politics: Leading by Goalhanger

The Rest Is Politics: Leading

987 Listeners

The Rest Is Money by Goalhanger

The Rest Is Money

220 Listeners

The Rest Is Politics: US by Goalhanger

The Rest Is Politics: US

2,285 Listeners