OODALoop: As Two Billion People go to the Polls in 2024, Foundational LLMs and Misinformation are “The Perfect Storm”

Early warning systems are flashing red – indicating a growing “perfect storm” over the next 11 months as:

• Foundational Large Language Models (LLMs) grow exponentially – based on the exponential use of foundational large language models worldwide);
• These LLMs not only grow in size, but learn at an exponential speed based on the growth of the user data inputs – the learning model dataset is based on the storage of global input data, including questions and queries generated by this global user base.
• Unintended Consquences and malificent applications of the code scales at exponential speed, scale and volume – like the application of adversarial machine learning techniques and generative AI innovation applied to mis- disinformation on social media platforms; and
• Global, national, state ands local regulation and governance will not be in place quickly enough (to have any measurable impact or mitigate risk in any significant fashion – ahead of the U.S. presidential debates, primary season, party conventions and general election in November 2024; and
• Over 2 billion people go to the polls globally in 2024.

Cumulatively, the result will be a “perfect storm” of all the unintended consequequences we have experienced to date based on an unregulated tech sector coupled with cyberwarfare tactics and kompromat innovation

This time out, it will all play out with exponential speed, scale and volume over the course of 2024.  Harrowing?  Yes. And the ships have definitey already sailed. To track, measure and “price in” the impacts of this coming storm for your organization, the first step is weeding out the cognitive bias that it is not happening.

o that ends, we have filtered out some of some the early warnings signals and the broad pattern recognition that validates the reality of this growing storm.

Featured Image: OpenAI’s DALL-E with the prompt “As Two Billion People Go to the Polls In 2024, AI and Misinformation are The Perfect Storm in the style of Cyberpunk”

December 2023

The U.S. 2020 Facebook & Instagram Election Study: understanding social media’s political effects

Launched as a partnership between Meta and independent external researchers, the U.S. 2020 Facebook & Instagram Election Study has led to groundbreaking social science scholarship on social media’s political effects.  Professors Natalie Stroud and Joshua Tucker led the 17-person team of external researchers, which has published four studies in Science and Nature and has additional papers currently undergoing peer-review. Prof. Stroud and Prof. Tucker joined the Berkman Center’s Institute fro Rebooting Social Media (RSM) for a discussion on the project’s findings and the process that generated them.

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