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#2537 - David Sinclair
Andrej Karpathy — AGI is still a decade away
The Andrej Karpathy episode.
During this interview, Andrej explains why reinforcement learning is terrible (but everything else is much worse), why AGI will just blend into the previous ~2.5 centuries of 2% GDP growth, why self driving took so long to crack, and what he sees as the future of education.
It was a pleasure chatting with him.
Watch on YouTube; read the transcript.
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Timestamps
(00:00:00) – AGI is still a decade away
(00:29:45) – LLM cognitive deficits
(00:40:05) – RL is terrible
(00:49:38) – How do humans learn?
(01:06:25) – AGI will blend into 2% GDP growth
(01:17:36) – ASI
(01:32:50) – Evolution of intelligence & culture
(01:42:55) - Why self driving took so long
(01:56:20) - Future of education
This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.dwarkesh.com
What if you could talk without speaking?
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Trump Loses It at WH as US Bases Evacuated
Automating a Bad System Just Makes It Fail Faster
Technology can make a strong process faster, but it cannot turn a broken process into a good one.
In this episode of The Level Up Podcast, Paul Alex breaks down why entrepreneurs often buy new software hoping it will solve operational problems that actually begin with unclear systems and poorly designed workflows.
You’ll learn why processes should work manually before they are automated, how unnecessary software creates additional costs and confusion, and why simplifying your technology stack can improve both execution and profitability.
In this episode, you’ll learn:
• Why software amplifies the process that already exists
• How technology can hide deeper operational problems
• Why manual workflows should be proven before automation
• How reducing unnecessary tools can improve clarity and margins
The truth is simple: A new tool cannot replace a clear system.
Design the workflow. Remove the friction. Prove that the process works and then use technology to scale something that already makes sense.
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