AI in 2030, Scaling Bottlenecks, and Explosive Growth
Автор: Epoch AI
Загружено: 2025-01-16
Просмотров: 3425
Описание:
In this first episode of the Epoch After Hours podcast, Jaime, Tamay and Ege discuss:
What they expect AI to look like by 2030
Why economists are underestimating the likelihood of explosive growth
The startling regularity in technological trends like Moore's Law
Moravec’s paradox, and how we might overcome it
And more!
Timestamps
00:00:00 - Preview
00:00:37 - What is Epoch AI?
00:02:32 - Scaling Laws
00:08:43 - Key Drivers
00:19:20 - End of the Decade Predictions
00:21:18 - Bottlenecks: Power
00:27:59 - Bottlenecks: GPUs
00:32:07 - Bottlenecks: Data
00:45:37 - Bottlenecks: Latency
00:56:18 - Bottlenecks: Failure Rates
01:03:55 - AI Investment
01:07:11 - Automation
01:12:10 - Benchmarks & Moravec’s Paradox
01:19:45 - Economic Impact
01:45:48 - Open Questions & Takeaways
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