Digital Marketing Weekly Digest on 06-10 of November 2023
OpenAI Responds to DDoS Attack and Ensures Stability
OpenAI recently tackled a series of DDoS attacks, causing disruptions in services for ChatGPT and API users. The attacks, claimed by Anonymous Sudan, coincided with high demand and new feature rollouts, including custom GPTs for subscribers. Despite these challenges, OpenAI’s engineering team acted promptly to mitigate the attacks and restore services. The company’s swift response underlines the complexities of maintaining large-scale AI services and the importance of having contingency plans for such unexpected events.
Custom GPTs Launched for ChatGPT Plus and Enterprise Subscribers
OpenAI CEO Sam Altman announced the availability of custom GPTs for all ChatGPT Plus and Enterprise subscribers. This new feature allows users to create and tailor GPTs for various specific tasks, marking a significant step in personalized AI experiences. The initiative includes examples like integrations with Canva and Zapier AI Actions, showcasing practical applications. Additionally, OpenAI plans to launch a GPT Store for users to share and monetize their GPTs, emphasizing privacy and safety in its rollout.
OpenAI Seeks Diverse Datasets for Advancing AGI
OpenAI has initiated a call for diverse, large-scale datasets through its Data Partnerships program, aiming to advance the development of Artificial General Intelligence (AGI). This initiative seeks to incorporate data across different languages, cultures, and industries, including both open-source and private dataset options. The program is a significant move towards creating AGI that is more attuned to human society’s vast complexities, offering unique opportunities for various sectors, including marketing, to contribute and benefit from AI advancements.
Senate AI Insight Forum Deliberates on AI Liability
The U.S. Senate AI Insight Forum recently discussed the development of a regulatory framework for AI, focusing on liability in cases of AI-induced harm. Mark Surman, President of the Mozilla Foundation, emphasized the need for a nuanced approach to liability that considers the entire AI development stack. Surman suggested a framework that facilitates the identification of harm sources and holds responsible entities accountable, highlighting the challenges in attributing liability given the complex nature of AI systems and their deployment. This discussion reflects the growing need for clear regulations in the rapidly evolving field of AI.
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