The discussion kicks off with how Pokémon Go players have inadvertently helped train AI through their gameplay. It dives into the concept of 'AI pimping', revealing the ethical dilemmas around AI-generated influencers on social media. The hosts tackle the implications of data collection on privacy, especially concerning military applications. They humorously explore how technology is reshaping our urban landscapes and highlight the rampant issue of content theft, particularly affecting creators in the adult industry.
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Quick takeaways
Niantic's large geospatial model uses player-generated data from Pokémon Go to inform AI navigation, raising ethical concerns about data use and military applications.
The rising trend of AI-generated influencers blurs the lines of authenticity and exploitation, prompting discussions surrounding consent and digital identity commodification.
Deep dives
The Rise of Large Geospatial Models
Niantic recently introduced a concept called the large geospatial model (LGM), which functions similarly to a large language model used in AI. This model utilizes vast amounts of publicly collected data to predict how to navigate physical spaces. For instance, if an AI has only seen the front of a church, it can leverage information from thousands of similar churches worldwide to infer the layout and features of the one it has not encountered before. This capability is akin to predicting the placement of facilities like restrooms in restaurants based on prior experience, thereby showcasing the model's potential to understand and navigate various environments.
Data Collection Through Gameplay
Niantic collects copious amounts of data through user interactions in games like Pokémon Go. Players are encouraged to scan locations and engage in features that allow them to tag Pokémon in real-world settings, with the data feeding into the creation of the LGM. While certain features appear benign, such as pinning Pokémon to specific landmarks, this process incentivizes players to contribute data that helps inform the AI's development. The ethical implications of this data collection are complex, especially considering many players may not fully comprehend how their gameplay influences the construction of sophisticated AI models.
Concerns Over Military Applications
Comments from a Niantic executive at a Bellingcat conference raised concerns about how the LGM's data might be utilized, specifically regarding military applications. The executive noted that while using the model for typical consumer purposes would be acceptable, any application that enhances warfare capabilities would be problematic. This highlights the potential dual-use nature of such technologies, where data collected for one purpose could be repurposed for military advantage. As the technology is still in development stages, the implications of these decisions remain unclear, leaving many to speculate on future ethical dilemmas.
The Emergence of AI-Generated Content
A new wave of AI-generated social media content is proliferating, often involving deepfake technology to create convincingly realistic personas. These AI influencers, appearing to have human characteristics, are often utilized to generate advertising revenue by promoting products or directing users to various monetization platforms. Some creators behind these personas advocate for a more ethical approach by avoiding direct content theft, yet many operate in the gray areas of consent and copyright. This burgeoning industry raises important questions about authenticity, exploitation, and the commodification of virtual identities in the digital space.
This week we start with Emanuel's couple of stories about Niantic, the company that makes Pokémon Go, and its plan to build an AI model based on data collected by its users. After the break, Jason and Emanuel talk about their big investigation into the rise of "AI pimping." In the subscribers-only section, Joseph explains why he doesn't use a mobile phone and how he uses an iPad Mini instead.