OpenAI Strawberry's Innards―How it works, and what comes next for OpenAI | Artificial Intelligence Masterclass
Feb 1, 2026
Dive into the workings of OpenAI Strawberry, where advancements in self-prompting techniques steal the spotlight. Explore the intriguing notion of post-labor economics, where machines take center stage, outperforming human capabilities. The discussion delves into the ethical frameworks guiding AI development, focusing on reducing suffering and increasing knowledge. Discover the balance between data insights and spontaneous thought processes, along with the competitive landscape shaping AI's future. Get ready for an enlightening journey into the next frontier of artificial intelligence!
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insights INSIGHT
Strawberry Uses Chain-of-Thought
OpenAI Strawberry fine-tunes models specifically for chain-of-thought reasoning.
This causes the model to self-prompt and think step-by-step rather than just answer directly.
insights INSIGHT
Strawberry's Cost vs Benefit
Strawberry is about 100 times more expensive than GPT-4 Mini for a modest performance improvement.
The cost-to-benefit ratio makes it less practical for broad business use currently.
insights INSIGHT
Multi-Agent Frameworks Potential
Multi-agent frameworks can achieve similar or even better results at lower cost and with faster execution.
These frameworks might outperform Strawberries' reasoning approach soon.
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OpenAI Strawberry's Innards―How it works, and what comes next for OpenAIEpisode release date: 13 Sep 2024Spreading 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.-------------
----------OpenAI Strawberry's Innards―How it works, and what comes next for OpenAIEpisode release date: 13 Sep 2024Spreading 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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