OpenAI Announces STARGATE and OPERATOR! Welcome to the United States of Acceleration!

David Shapiro · Beginner ·📰 AI News & Updates ·1y ago
The Kickstarter for my Post-Labor Economics book is live! https://www.kickstarter.com/projects/daveshap/labor-zero
Watch on YouTube ↗ (saves to browser)
⚡ AI Lesson Summary ✦ V3 skills 📖 Theory

OpenAI's Project Stargate and Operator announcements mark significant developments in artificial intelligence, with potential implications for energy consumption, regulatory capture, and economic growth. These advancements may lead to increased efficiency, productivity, and innovation, but also raise concerns about AI safety, job displacement, and societal impact.

Key Takeaways
  1. Understand the concept of computer using agents and universal APIs
  2. Explore the potential applications and implications of Project Stargate and Operator
  3. Analyze the regulatory and economic frameworks surrounding AI development
  4. Consider the potential risks and benefits of AI safety and innovation
  5. Evaluate the role of AI in shaping the future of work and society
💡 The development and deployment of AI technologies like Project Stargate and Operator will require a nuanced understanding of their potential implications and a proactive approach to addressing regulatory, economic, and societal challenges.

Related AI Lessons

⚡
Big Tech firms are accelerating AI investments and integration, while regulators and companies focus on safety and responsible adoption.
Big Tech firms are investing billions in AI infrastructure, driving growth and transformation in the field, while prioritizing safety and responsible adoption
Dev.to AI
 ⚡
Big Tech firms are accelerating AI investments and integration, while regulators and companies focus on safety and responsible adoption.
Big Tech firms are investing billions in AI, driving growth and transformation, while prioritizing safety and responsible adoption
Dev.to AI
 ⚡
Big Tech firms are accelerating AI investments and integration, while regulators and companies focus on safety and responsible adoption.
Big Tech firms are investing billions in AI, driving growth and transformation, while prioritizing safety and responsible adoption
Dev.to AI
 ⚡
Big Tech firms are accelerating AI investments and integration, while regulators and companies focus on safety and responsible adoption.
Big Tech firms are investing billions in AI, driving growth and transformation, while regulators focus on safety and responsible adoption
Dev.to AI

Playlist

Uploads from David Shapiro · David Shapiro · 0 of 60

← Previous Next →
1 Raven MVP Demo 2021-04-02
Raven MVP Demo 2021-04-02
David Shapiro
 2 Get Started with Raven AGI
Get Started with Raven AGI
David Shapiro
 3 Coding Raven's Encyclopedia Service (v.1)
Coding Raven's Encyclopedia Service (v.1)
David Shapiro
 4 Prototype AGI demo - Natural Language Cognitive Architecture "NLCA" running on GPT-3
Prototype AGI demo - Natural Language Cognitive Architecture "NLCA" running on GPT-3
David Shapiro
 5 Raven Release 1 Deep Dive
Raven Release 1 Deep Dive
David Shapiro
 6 Fine-tuning GPT-3 to generate questions about anything
Fine-tuning GPT-3 to generate questions about anything
David Shapiro
 7 Fine-tuning GPT-3 for benevolent and trustworthy AGI
Fine-tuning GPT-3 for benevolent and trustworthy AGI
David Shapiro
 8 Implementing Natural Language Cognitive Architecture with GPT-3 and the "nexus" concept
Implementing Natural Language Cognitive Architecture with GPT-3 and the "nexus" concept
David Shapiro
 9 5 Tips and Misconceptions about Finetuning GPT-3
5 Tips and Misconceptions about Finetuning GPT-3
David Shapiro
 10 How to create synthetic datasets with GPT-3
How to create synthetic datasets with GPT-3
David Shapiro
 11 What is a heuristic imperative? What imperatives should we give AGI?
What is a heuristic imperative? What imperatives should we give AGI?
David Shapiro
 12 Talking Philosophy with GPT-3
Talking Philosophy with GPT-3
David Shapiro
 13 Talking Boundaries and Consent with GPT-3
Talking Boundaries and Consent with GPT-3
David Shapiro
 14 Convergence and acceleration towards AGI (or Artificial Cognitive Entities)
Convergence and acceleration towards AGI (or Artificial Cognitive Entities)
David Shapiro
 15 GPT-3 for Writing Dialog
GPT-3 for Writing Dialog
David Shapiro
 16 Co-writing flash fiction with GPT-3
Co-writing flash fiction with GPT-3
David Shapiro
 17 From zero to finetuned model in 1 hour with GPT-3. Generate a movie script from any premise!
From zero to finetuned model in 1 hour with GPT-3. Generate a movie script from any premise!
David Shapiro
 18 GPT-3 Working Session: Finetune an information companion chatbot in 30 minutes (RESEARCH ONLY)
GPT-3 Working Session: Finetune an information companion chatbot in 30 minutes (RESEARCH ONLY)
David Shapiro
 19 What is "toxic stoicism"? Talking philosophy with GPT-3
What is "toxic stoicism"? Talking philosophy with GPT-3
David Shapiro
 20 Billion-dollar GPT-3 startup! Fix education with an expert tutor chatbot!
Billion-dollar GPT-3 startup! Fix education with an expert tutor chatbot!
David Shapiro
 21 Finetune GPT-3 to write an entire coherent novel (part 1)
Finetune GPT-3 to write an entire coherent novel (part 1)
David Shapiro
 22 Concepts in Neuroscience and Cognition - Deficits of GPT-3 and the path to AGI and ACE
Concepts in Neuroscience and Cognition - Deficits of GPT-3 and the path to AGI and ACE
David Shapiro
 23 Finetuning GPT-3 to be a master tutor that can handle any topic and hostile students
Finetuning GPT-3 to be a master tutor that can handle any topic and hostile students
David Shapiro
 24 Testing "Theory of Mind" in GPT-3 - making fully aligned ACOG (Artificial Cognitive Entities)
Testing "Theory of Mind" in GPT-3 - making fully aligned ACOG (Artificial Cognitive Entities)
David Shapiro
 25 Finetune GPT-3 to write an entire coherent novel (part 2)
Finetune GPT-3 to write an entire coherent novel (part 2)
David Shapiro
 26 Finetune multiple cognitive tasks with GPT-3 on medical texts (and reduce hallucination)
Finetune multiple cognitive tasks with GPT-3 on medical texts (and reduce hallucination)
David Shapiro
 27 Finetune GPT-3 to write a novel - Part 3 (IT WORKS!!!) ...at least a little bit
Finetune GPT-3 to write a novel - Part 3 (IT WORKS!!!) ...at least a little bit
David Shapiro
 28 How will we know when we've invented AGI? How will we know it is complete?
How will we know when we've invented AGI? How will we know it is complete?
David Shapiro
 29 Finetuning a Creative Writing Coach in GPT-3 - Part 1
Finetuning a Creative Writing Coach in GPT-3 - Part 1
David Shapiro
 30 Finetune GPT-3 to write a coherent novel - Part 4 (success! with minor bugs...)
Finetune GPT-3 to write a coherent novel - Part 4 (success! with minor bugs...)
David Shapiro
 31 Recursively summarize text of any length with GPT-3
Recursively summarize text of any length with GPT-3
David Shapiro
 32 Finetuning a Creative Writing Coach in GPT-3 - Part 2
Finetuning a Creative Writing Coach in GPT-3 - Part 2
David Shapiro
 33 Increasingly Verbose Bot with GPT-3 - Expand any word or phrase into a whole paragraph
Increasingly Verbose Bot with GPT-3 - Expand any word or phrase into a whole paragraph
David Shapiro
 34 Metaprompting with GPT-3 to dynamically generate arguments
Metaprompting with GPT-3 to dynamically generate arguments
David Shapiro
 35 I'm taking a short break from research and YouTube
I'm taking a short break from research and YouTube
David Shapiro
 36 Are LaMDA or GPT-3 sentient? No, but...
Are LaMDA or GPT-3 sentient? No, but...
David Shapiro
 37 Can GPT-3 generate training data? Short answer? Yes! Here's why that's a legit methodology...
Can GPT-3 generate training data? Short answer? Yes! Here's why that's a legit methodology...
David Shapiro
 38 DALLE2 Style Tags Tutorial - "Elven archer in a sunny forest" with different tags
DALLE2 Style Tags Tutorial - "Elven archer in a sunny forest" with different tags
David Shapiro
 39 Many of you have asked for it: Join my new research Discord! Link in description
Many of you have asked for it: Join my new research Discord! Link in description
David Shapiro
 40 Answer complex questions from an arbitrarily large set of documents with vector search and GPT-3
Answer complex questions from an arbitrarily large set of documents with vector search and GPT-3
David Shapiro
 41 Fixing "goldfish memory" with GPT-3 and external sources of information in a chatbot - part 1
Fixing "goldfish memory" with GPT-3 and external sources of information in a chatbot - part 1
David Shapiro
 42 Fixing "goldfish memory" with GPT-3 and external sources of information in a chatbot - part 2
Fixing "goldfish memory" with GPT-3 and external sources of information in a chatbot - part 2
David Shapiro
 43 Python & GPT-3 for Absolute Beginners #1 - Setting up your environment
Python & GPT-3 for Absolute Beginners #1 - Setting up your environment
David Shapiro
 44 Python & GPT-3 for Absolute Beginners #2 - Your first chatbot
Python & GPT-3 for Absolute Beginners #2 - Your first chatbot
David Shapiro
 45 Python & GPT-3 for Absolute Beginners #3 - What the heck are embeddings?
Python & GPT-3 for Absolute Beginners #3 - What the heck are embeddings?
David Shapiro
 46 Introducing the RAVEN MVP - a general purpose AI companion (with a live DEMO)
Introducing the RAVEN MVP - a general purpose AI companion (with a live DEMO)
David Shapiro
 47 I needed SQLITE but for vectors so I wrote it myself. Now it's on PyPI - introducing VDBLITE
I needed SQLITE but for vectors so I wrote it myself. Now it's on PyPI - introducing VDBLITE
David Shapiro
 48 Prompt Engineering 101: Autocomplete, Zero-shot, One-shot, and Few-shot prompting
Prompt Engineering 101: Autocomplete, Zero-shot, One-shot, and Few-shot prompting
David Shapiro
 49 Prompt Engineering 101: Introduction to CODEX
Prompt Engineering 101: Introduction to CODEX
David Shapiro
 50 Prompt Engineering 101: Summarizing, Extraction, and Rewriting
Prompt Engineering 101: Summarizing, Extraction, and Rewriting
David Shapiro
 51 Summarize product reviews with GPT-3 fast and easy, get product insights and improvements fast!
Summarize product reviews with GPT-3 fast and easy, get product insights and improvements fast!
David Shapiro
 52 Finetuning GPT-3 101: Synthesizing Training Data
Finetuning GPT-3 101: Synthesizing Training Data
David Shapiro
 53 Finetuning GPT-3 101: Augmenting Training Data
Finetuning GPT-3 101: Augmenting Training Data
David Shapiro
 54 Finetuning GPT-3 101: Using Your Finetuned Model
Finetuning GPT-3 101: Using Your Finetuned Model
David Shapiro
 55 Modeling different viewpoints with GPT-3 for automatic debates
Modeling different viewpoints with GPT-3 for automatic debates
David Shapiro
 56 Finetune a perfect email generator in GPT-3 - take any input and generate a great email
Finetune a perfect email generator in GPT-3 - take any input and generate a great email
David Shapiro
 57 Research Update: Nexus microservice for Artificial Cognition + microservices architecture (MARAGI)
Research Update: Nexus microservice for Artificial Cognition + microservices architecture (MARAGI)
David Shapiro
 58 Research Update: Microservices! Text-based simulation, Embeddings, and Nexus
Research Update: Microservices! Text-based simulation, Embeddings, and Nexus
David Shapiro
 59 It's alive! The first 3 microservices are up and running!
It's alive! The first 3 microservices are up and running!
David Shapiro
 60 What is a Microservice? What does it have to do with AGI?
What is a Microservice? What does it have to do with AGI?
David Shapiro
How the deportation machine was built | America, Actually
Next Up
How the deportation machine was built | America, Actually
Vox