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Epoch After Hours

Epoch AI
Economic Growth
Artificial Intelligence
Artificial General Intelligence
Algorithmic Progress
Mathematics
AI Benchmarks
AI Labor Automation
Pre-Training Compute
Economy Growth
Riemann Hypothesis
R&D
AGI Timelines
Jones Model
Open Problems
Research
Mirrorcode
Moore's Law
Data Quality
AI Alignment
Technology Utilization

Epoch AI is a non-profit research institute investigating the future of artificial intelligence. We examine the driving forces behind AI and forecast its economic and societal impact. In this podcast, our team shares insights from our research and discusses the evolving landscape of AI.

PublishesInfrequentlyEpisodes7Foundeda year ago
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Technology

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Latest Episodes

AI benchmarks saturate quickly, struggle to capture what we care about, and cost more than ever to build. But are they doomed? Greg Burnham, who leads Epoch's benchmarking team, and Tom Adamczewski, who developed MirrorCode, push back on the pessimis... more

Daniel Litt is a professor of mathematics at the University of Toronto. He has been a careful observer of AI’s progress toward accelerating mathematical discovery, sometimes skeptical and sometimes enthusiastic.

Topics we cover: the hardest problems... more

Professor Luis Garicano isn’t your usual academic economist. Academically, his theories have heavily influenced how modern economists understand the structure of firms and the labor market. But his influence hasn’t been confined to the ivory towers o... more

Stanford economist Phil Trammell has been rigorously thinking about the intersection of economic theory and AI (incl. AGI) for over five years, long before the recent surge of interest in large language models.

In this episode of Epoch After Hours,... more

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Recent Guests

Greg Burnham
Runs benchmarking team at Epoch
Epoch AI
Episode: Are AI benchmarks doomed?
Tom Adamczewski
Senior Research Engineer on the benchmarking team
Epoch AI
Episode: Are AI benchmarks doomed?
Daniel Litt
Professor at the University of Toronto in Mathematics
University of Toronto
Episode: AI math capabilities could be jagged for a long time – Daniel Litt
Phil Trammell
Economist at Stanford University with expertise in economic theory related to AGI.
Stanford University
Episode: What does economics actually tell us about AGI? – Phil Trammell

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Apple Podcasts
#193
France/Technology

Talking Points

Recent interactions between the hosts and their guests.

Are AI benchmarks doomed?
Q: To start off, what do you think about the current trajectory of AI benchmarks—are they doomed or evolving in a useful way?
Benchmarks will continue to be important as long as there is demand for describing AI capabilities and for comparing models, even if they have flaws. They may explain less of a system's performance over time, but they still provide valuable information and will likely adapt rather than disappear.
The EU and the not-so-simple macroeconomics of AI - Luis Garicano
Q: How should demographic change affect our view of AI's benefits versus risks?
Demographics indicate a decreased birth rate, which suggests a burning platform that necessitates AI solutions to maintain growth and economic stability.
The EU and the not-so-simple macroeconomics of AI - Luis Garicano
Q: Could AI possibly lead to a decline in interest rates?
While some argue it may decrease interest rates, the consensus believes AI will lead to increased demand, thus raising rates because of productivity gains.
The EU and the not-so-simple macroeconomics of AI - Luis Garicano
Q: What about the short run macro of AI effects on things like unemployment, inflation?
The short run macro is problematic, as wealth may improve while unemployment increases and demand for certain sectors plummets.
AI in 2030, Scaling Bottlenecks, and Explosive Growth
Q: What are the main drivers behind the explosive growth of AI technologies?
The key drivers are the scaling up of compute, especially in pre-training, along with improvements in algorithms and data quality.

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Frequently Asked Questions About Epoch After Hours

What is Epoch After Hours about and what kind of topics does it cover?

This show blends AI research with economics and policy, exploring how advancements in artificial intelligence intersect with growth, regulation, and society. Recent episodes cover the current capabilities and limits of AI in mathematics, macroeconomic implications of AI within the EU, the economics of AGI and innovation models, and optimistic versus cautious timelines for AI progress through 2040. The conversations tend to weigh theoretical models against practical outcomes, considering issues like R&D incentives, patents, regulatory impact, and the potential for AI to reshape employment and productivity. A notable strength is the strong tie to research institutions, offering data-driven perspectives while also entertaining speculative, fut... more

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Which podcasts are similar to Epoch After Hours?

These podcasts share a similar audience with Epoch After Hours:

1. Complex Systems with Patrick McKenzie (patio11)
2. Conversations with Tyler
3. Manifold
4. Core Memory
5. No Priors: Artificial Intelligence | Technology | Startups

How many episodes of Epoch After Hours are there?

Epoch After Hours launched a year ago and published 7 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

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What guests have appeared on Epoch After Hours?

Recent guests on Epoch After Hours include:

1. Greg Burnham
2. Tom Adamczewski
3. Daniel Litt
4. Phil Trammell

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