

Artificial Intelligence Masterclass
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.
Episodes


What does it mean to be transdisciplinary? What am I working on? (TLDR - six books in the works) | Artificial Intelligence Masterclass

Research Update: Heuristic Imperatives microservice demonstration and theory | Artificial Intelligence Masterclass

Research Update: Microservices! Text-based simulation, Embeddings, and Nexus | Artificial Intelligence Masterclass

Research Update: Nexus microservice for Artificial Cognition + microservices architecture (MARAGI) | Artificial Intelligence Masterclass

Modeling different viewpoints with GPT-3 for automatic debates | Artificial Intelligence Masterclass

Prompt Engineering 101: Summarizing, Extraction, and Rewriting | Artificial Intelligence Masterclass
Prompt engineering with OpenAI’s Instruct series models, such as Text-DaVinci-002, relies on precise, command-based instructions to achieve consistent and high-quality outputs. Utilizing imperative verbs effectively directs the model’s behavior, while adjusting the temperature parameter allows for control over output r...

Prompt Engineering 101: Introduction to CODEX | Artificial Intelligence Masterclass

Python & GPT-3 for Absolute Beginners #3 - What the heck are embeddings? | Artificial Intelligence Masterclass

Python & GPT-3 for Absolute Beginners #2 - Your first chatbot | Artificial Intelligence Masterclass

Cognitive AI Lab Podcast #1 - Decentralized Democracy and AI Companions | Artificial Intelligence Masterclass

Let's build an ACOG (artificial cognitive entity) - Part 4 | Artificial Intelligence Masterclass

Could a machine ever be fully sentient or conscious? A deep dive on philosophy, quantum mechanics... | Artificial Intelligence Masterclass

I'm taking a short break from research and YouTube | Artificial Intelligence Masterclass

Increasingly Verbose Bot with GPT-3 - Expand any word or phrase into a whole paragraph | Artificial Intelligence Masterclass

Decreasingly Verbose "Alice in Wonderland" - down to 55 characters! | Artificial Intelligence Masterclass

Will we get UBI before AGI?

ChatGPT as an Interpreter: Introducing the KB Microservice for autonomous AI entities - AI Masterclass

Don't Use MemGPT!! This is way better (and easier)! Use Sparse Priming Representations!

Automating Myself Out of a Job: Orchestrating an Autonomous Agent Swarm
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