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The fast moving impacts and exponential capabilities of generative artificial intelligence over the course of just one year. 

The Future Now of Generative AI

Andy Warhol and Prince are the Future Now of Generative AI and Copyright Law:  A recent Supreme Court ruling in the Andy Warhol Foundation for the Visual Arts, Inc. v. Goldsmith et. al. case will have broad implications for the generative AI platform architectures pushing the boundaries of copyright infringement and fair-use law.

Copyright Law, Fair Use and Generative AI:  While the societal and business impact of AI continues to consume the headlines, the reality is the future of AI, to a large extent, will be formally litigated in the legal system.  Following is an overview of the recently filed lawsuits with claims related to AI – followed by further resources and recent analyses of copyright, fair use and generative AI by the Congressional Research Service, the Stanford Institute for Human-Centered AI (HAI), the United States Copyright Office, the United States Patent and Trademark Office, and Recreating Europe.

AI Image Generation: New ChatGPT Dall-E Integration Beats Out Midjourney: This post provides information of us to any seeking to understand the strengths and weaknesses of existing AI systems that enable image generation.

The DALL-E of 3D Modeling – OpenAI’s Point-E May Accelerate Metaverse Production: In the midst of the ChatGPT news frenzy, OpenAI released POINT-E, which extends the implications everyone is trying to sort out about the capabilities of ChatGPT into the 3-D realm and which may act as an accelerant in the production of the next generation 3-D interface of the global network, commonly known as the metaverse.

New Capability From OpenAI Can Improve Anyone’s Ability To Analyze Data:  This post examines a new capability by OpenAI called Code Interpreter. It walks through a demo of how to use this new capability and in doing show gives an example of why this could be so empowering to any seeking to analyze data for themselves.

Eight Noteworthy GPT Announcements, Large Language Model Developments and AI Productivity Tools: Following is a survey of recently announced GPT platforms of note – culled from the exponential generative AI headlines of the last few months.  It is a curated selection of *GPT and *AI platforms for the OODA Loop readership – across a wide swath of industry sectors.  From JPMorgan’s IndexGPT patent application to Crowdstrike’s Charlotte AI, survey the fat of the AI land here.

Lessons Learned from Building an AI Enabled Web ApplicationUnrestrictedIntelligence.com was built as a proof of concept – to learn and to enable more for the OODA network to experiment with some capabilities of the large language models which can be accessed via connections to OpenAI.   There have now been more than 10,000 questions asked via the site, each resulting in AI generated responses.  The site has also been the source of many lessons. Here are a few lessons learned.

Using OpenAI’s GPT To Produce Intelligence Reports At UnrestrictedIntelligence.com:  Like the rest of the Internet we have also been evaluating the new OpenAI capabilities like GPT-3 and ChatGPT, which go beyond search to produce results to requests that can seem conversational. We have been participating in dialog with many in the OODA Network on these topics including exchanging prompts and replies from these systems that help show some of the incredible potential of these large language models.To continue to explore the relevance of these tools to intelligence missions we built a web application designed to leverage the power of GPT-3 to the domain of intelligence analysis. The application is available for use at UnrestrictedIntelligence.com This application is set up to allow any user to ask any question or make a request for intelligence. In response the system delivers a succinct intelligence product based on the information GPT has been trained on.

“AI for Enterprise”: Lessons Learned from Healthcare, Hugging Face and Clinical Language Models:  Healthcare is already in the midst of an AI revolution – with an applied technology market maturity which outpaces most other industry sectors which are in a reactive mode to the AI hype cycle.  Explore these AI healthcare use cases and apply them to your organization using design and systems thinking.

Generative AI: An Origins Story

The Recent History of Large Language Models, OpenAI’s GPT-3 and DeepMind’s RETRO:  For better or for worse, Large Language Models (LLMs) – used for natural language processing by commercial AI Platform-as-a-Service (PaaS) subscription offerings – have become one of the first “big data” applied technologies to become a crossover hit in the AI marketplace. The Origins Story of the technology is captured here.

The Past, Present, and Future of ChatGPT, GPT-3, OpenAI, NLMs, and NLP:  As the Tok-Tok security threat, Elon Musk’s Twitter debacle, and ChatGPT all vied for the top spot as the final big story in the technology-obsessed zeitgeist for 2022, we focused on ChatGPT in the context of OODA Loop research and analysis over the course of the year on AI, machine learning, GPT-3, neural language models (NLM), and natural language processing (NLP).

Additional OODA Loop Resources

Generative AI – Socio-Technological Risks, Potential Impacts, Market Dynamics, and Cybersecurity Implications:  The risks, potential positive and negative impacts, market dynamics, and security implications of generative AI have have emerged  – slowly, then rapidly, as the unprecedented hype cycle around artificial intelligence settled into a more pragmatic stoicism  – with project deployments – over the course of 2023.

In the Era of Code, Generative AI Represents National Security Risks and Opportunities for “Innovation Power”:  We are entering into the Era of Code. Code that writes code and code that breaks code. Code that talks to us and code that talks for us. Code that predicts and code that decides. Code that rewrites us. Organizations and individuals that prioritize understanding how the Code Era impacts them will develop increasing advantage in the future.  At OODAcon 2023, we will be taking a closer look at Generative AI innovation and the impact it is having on business, society, and international politics. IQT and the Special Competitive Studies Project (SCSP) recently weighed in on this Generative AI “spark” of innovation that will “enhance all elements of our innovation power” – and the potential cybersecurity conflagarations that may also be lit by that same spark. Details here.

For more OODA Loop News Briefs and Original Analysis, see OODA Loop | Generative AI

Daniel Pereira

About the Author

Daniel Pereira

Daniel Pereira is research director at OODA. He is a foresight strategist, creative technologist, and an information communication technology (ICT) and digital media researcher with 20+ years of experience directing public/private partnerships and strategic innovation initiatives.