The Last 7 Years of Human Work - Understanding the AUTOMATION CLIFF! | AI MASTERCLASS
Today, we’re diving into the concept of the **automation cliff**, a topic I’ve talked about before but wanted to explore in more depth. This idea isn’t mine originally, but I’ll be sharing my personal experiences along with research and projections. The basic idea is that industries approach automation in one of two ways – a gradual **stair-step** approach or a sudden **drop-off** where human involvement disappears almost instantly. I’ll break down why full automation can be superior, how **drop-in technologies** accelerate adoption, and why many industries are still struggling with the last-mile problem of automation.
We’ll also look at how **humanoid robots** and **computer-using agents** are about to reshape everything. With companies already deploying AI agents for knowledge work and robots being trained for real-world tasks, we are heading for a massive shift. I’ve put together a timeline of how fast this could happen, based on past adoption curves for things like virtualization and cloud computing. My prediction? Seven years until widespread AI-driven automation takes over most industries. The AI I consulted gave a more conservative estimate, but I’ll explain why I think it’s way too slow. If you’re interested in where automation is headed, what jobs are at risk, and how this could completely change the way society functions, stick around – there’s a lot to unpack. Let’s get into it!
If you liked this episode, Follow the podcast to keep up with the AI Masterclass. Turn on the notifications for the latest developments in AI. Find David Shapiro on: Patreon: https://patreon.com/daveshap (Discord via Patreon) Substack: https://daveshap.substack.com (Free Mailing List) LinkedIn: linkedin.com/in/dave shap automator GitHub: https://github.com/daveshap
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35:37
Can We Build a BILLION Humanoid Robots??? (It Takes Longer Than You Think!) | Artificial Intelligence Masterclass
Can We Build a BILLION Humanoid Robots??? (It Takes Longer Than You Think!)
All my links: https://linktr.ee/daveshap
Spreading awareness about the works of some of the leading educators in the AI revolution.
"Helping humanity shepherd through this transition as we embrace the final invention of mankind: advanced artificial intelligence." David Shapiro aims to provide a pragmatic and optimistic view of the future.
Core Ideas:
Metamodernism: Narratives and emergence view of reality
Postnihilism: The demand for meaning is false, there is only the Great Mystery
Heuristic Imperatives: An ethical, moral, and decision framework.
- Reduce suffering
- Increase prosperity
- Increase understanding
Post-Labor Economics: Replace humans with machines (better, faster, cheaper, safer)
mantra:
EXPLORE: Delve into the unknown, driven by curiosity and a quest for discovery. Seek knowledge.
ELUCIDATE: Make complex ideas clear, communicating them in an accessible and comprehensible manner.
ENUMERATE: Ground insights in concrete data, providing measurable and quantitative evidence.
ELABORATE: Add depth and detail to understanding, weaving comprehensive and nuanced explanations.
DISCLAIMER: This is a community-driven show. This podcast may contain copyrighted material not owned by AI Masterclass. All copyrighted material in this podcast is believed to be within the bounds of educational purposes.
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23:42
Automating Science with GPT-4 - attempting (and failing) to perform autonomous literature review
If you liked this episode, Follow the podcast to keep up with the AI Masterclass. Turn on the notifications for the latest developments in AI. UP NEXT: "AGI within 18 months" explained with a boatload of papers and projects. Listen on Apple Podcasts or Listen on Spotify Find David Shapiro on: Patreon: https://patreon.com/daveshap (Discord via Patreon) Substack: https://daveshap.substack.com (Free Mailing List) LinkedIn: linkedin.com/in/dave shap automator GitHub: https://github.com/daveshap Disclaimer: All content rights belong to David Shapiro. This is a fan account. No copyright infringement intended.
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19:15
Answer complex questions from an arbitrarily large set of documents with vector search and GPT-3
If you liked this episode, Follow the podcast to keep up with the AI Masterclass. Turn on the notifications for the latest developments in AI. Find David Shapiro on: Patreon: https://patreon.com/daveshap (Discord via Patreon) Substack: https://daveshap.substack.com (Free Mailing List) LinkedIn: linkedin.com/in/dave shap automator GitHub: https://github.com/daveshap Disclaimer: All content rights belong to David Shapiro. This is a fan account. No copyright infringement intended.
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24:53
How can we ensure equitable outcomes? How fast will AGI be adopted? Nations, Businesses, People...
If you liked this episode, Follow the podcast to keep up with the AI Masterclass. Find David Shapiro on: Patreon: https://patreon.com/daveshap (Discord via Patreon) Substack: https://daveshap.substack.com (Free Mailing List) LinkedIn: linkedin.com/in/dave shap automator GitHub: https://github.com/daveshap
--------------------------------
Learn more about your ad choices. Visit megaphone.fm/adchoices
Spreading awareness about the works of some of the leading educators in the AI revolution.
"Helping humanity shepherd through this transition as we embrace the final invention of mankind: advanced artificial intelligence." David Shapiro aims to provide a pragmatic and optimistic view of the future.
Core Ideas:
Metamodernism: Narratives and emergence view of reality
Postnihilism: The demand for meaning is false, there is only the Great Mystery
Heuristic Imperatives: An ethical, moral, and decision framework.
- Reduce suffering
- Increase prosperity
- Increase understanding
Post-Labor Economics: Replace humans with machines (better, faster, cheaper, safer)
mantra:
EXPLORE: Delve into the unknown, driven by curiosity and a quest for discovery. Seek knowledge.
ELUCIDATE: Make complex ideas clear, communicating them in an accessible and comprehensible manner.
ENUMERATE: Ground insights in concrete data, providing measurable and quantitative evidence.
ELABORATE: Add depth and detail to understanding, weaving comprehensive and nuanced explanations.
DISCLAIMER: This is a community-driven show. This podcast may contain copyrighted material not owned by AI Masterclass. All copyrighted material in this podcast is believed to be within the bounds of educational purposes.
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