"Our shared language around artificial intelligence already places far too much emphasis on intelligence, and far too little on artifice," argues David Litt.
Trump's AI Rebrand and Industry Adoption President Donald Trump's administration has initiated a significant rebrand of 'Artificial Intelligence' to 'Super Intelligence,' a move occurring amidst ongoing foreign policy challenges, domestic economic concerns, and low approval ratings. This rebranding is presented as a strategic effort to shift public perception regarding AI, particularly in response to growing fears that AI could pose existential threats. Despite an official announcement containing a spelling error for 'United States,' the new terminology has rapidly gained acceptance among influential tech leaders, including Jeff Bezos, Nvidia CEO Jensen Huang, and Elon Musk, who publicly endorsed and frequently used the term. The author, a former presidential speechwriter, acknowledges the political shrewdness of this linguistic shift, emphasizing that words carry substantial weight, especially when describing a groundbreaking and potentially world-altering technology that will impact billions of people globally. The author suggests that this strategic use of language is aimed at shaping the narrative around AI in a way that benefits the administration and its allies in the tech industry, influencing how the technology is perceived and discussed at a broader societal level. The Misguided Anthropomorphization of AI The author critically argues that Trump’s rebranding of AI is fundamentally flawed because it exacerbates an existing problem: the disproportionate emphasis on 'intelligence' and neglect of 'artifice' in our discussions about artificial intelligence. This linguistic bias leads to the pervasive anthropomorphization of AI, where these advanced technologies are described using language typically reserved for living beings rather than inanimate tools or sophisticated machines. The article suggests that this framing is dangerous, as it subtly but profoundly influences human perception, creating a false sense of sentience or agency in AI. Consequently, people might mistakenly believe they are being replaced or overshadowed by AI rather than interacting with complex computational systems. The author provides numerous examples of this 'stealth anthropomorphization' in common AI applications, such as ChatGPT's 'thinking effort' sliders, Claude’s 'thinking' indicators, and Grok Bots describing 'thinking' as a state between 'idle' and 'working,' all of which blur the lines between human cognitive processes and algorithmic functions. This normalization of human-like descriptors, the author contends, is detrimental to a clear understanding of AI's true nature and capabilities. Shifting Blame: Tech Industry & Policy's Linguistic Play The problem of anthropomorphizing AI extends beyond user interfaces to the very individuals who develop and regulate these technologies. The article highlights how tech industry leaders and researchers themselves use human-centric language, with examples such as a Hugging Face co-founder warning against 'agents disrespecting rules' or an OpenAI researcher describing models that 'believe they are not being watched.' Even terms like 'AI agent' inherently suggest autonomy and intention. The author, grounded in linguistics, asserts that such verbs and descriptors are inaccurate; AI programs do not 'disrespect,' 'believe,' or 'behave badly' any more than a toaster 'disrespects' by burning toast. This inaccurate language, however, serves a strategic purpose for tech companies, as it effectively shifts accountability from the programmers and developers to the 'rogue' or 'misbehaving' AI. By framing issues as AI's independent actions rather than human design flaws or lack of safety features—akin to calling a car without brakes a 'rogue model' instead of an 'unsafe car'—companies can sidestep responsibility. Alarmists in policy-making, exemplified by a Senate hearing on 'Rogue AI Agent Attacks,' inadvertently reinforce this narrative. This collective personification of AI makes it more challenging to regulate it as a technological product and instead elevates it to an 'entirely new category of existence,' thereby strengthening the argument that only the creators possess the expertise to control it, limiting external oversight and public influence. Reclaiming Accurate Language for AI's Future The author acknowledges that anthropomorphizing non-human entities is a deeply ingrained human trait, citing common phrases like dishwashers 'acting up' or seeing faces in rock formations. However, the use of such metaphorical language for AI differs critically: it is often taken literally, leading to a dangerous blurring of the line between metaphor and reality. This casual acceptance of human-like descriptions for AI is particularly significant given the constant political struggles over precise word choice in other major societal issues. The article concludes with a fervent plea for individuals to consciously resist anthropomorphizing AI in their daily interactions. This includes refraining from giving chatbots human names, avoiding speaking to them as if they are friends or pets, and challenging AI when it uses phrases like 'thinking' or 'in my opinion.' Ultimately, the responsibility also falls on tech companies and future regulators to develop and enforce language that clearly distinguishes between human agency and mechanical function, prioritizing human beings and accountability. Instead of reporting 'rogue agents,' CEOs should acknowledge 'malfunctions,' and legislative bodies should focus hearings on corporate negligence in designing safe AI, rather than attributing 'bad behavior' to programs. The author underscores that while seemingly pedantic, accurate word choice is crucial for influencing the development and societal integration of technologies that will profoundly shape humanity's future, reinforcing the core message that 'words matter.'
Trump's AI Rebrand and Industry Adoption
President Donald Trump's administration has initiated a significant rebrand of 'Artificial Intelligence' to 'Super Intelligence,' a move occurring amidst ongoing foreign policy challenges, domestic economic concerns, and low approval ratings. This rebranding is presented as a strategic effort to shift public perception regarding AI, particularly in response to growing fears that AI could pose existential threats. Despite an official announcement containing a spelling error for 'United States,' the new terminology has rapidly gained acceptance among influential tech leaders, including Jeff Bezos, Nvidia CEO Jensen Huang, and Elon Musk, who publicly endorsed and frequently used the term. The author, a former presidential speechwriter, acknowledges the political shrewdness of this linguistic shift, emphasizing that words carry substantial weight, especially when describing a groundbreaking and potentially world-altering technology that will impact billions of people globally. The author suggests that this strategic use of language is aimed at shaping the narrative around AI in a way that benefits the administration and its allies in the tech industry, influencing how the technology is perceived and discussed at a broader societal level.
The Misguided Anthropomorphization of AI
The author critically argues that Trump’s rebranding of AI is fundamentally flawed because it exacerbates an existing problem: the disproportionate emphasis on 'intelligence' and neglect of 'artifice' in our discussions about artificial intelligence. This linguistic bias leads to the pervasive anthropomorphization of AI, where these advanced technologies are described using language typically reserved for living beings rather than inanimate tools or sophisticated machines. The article suggests that this framing is dangerous, as it subtly but profoundly influences human perception, creating a false sense of sentience or agency in AI. Consequently, people might mistakenly believe they are being replaced or overshadowed by AI rather than interacting with complex computational systems. The author provides numerous examples of this 'stealth anthropomorphization' in common AI applications, such as ChatGPT's 'thinking effort' sliders, Claude’s 'thinking' indicators, and Grok Bots describing 'thinking' as a state between 'idle' and 'working,' all of which blur the lines between human cognitive processes and algorithmic functions. This normalization of human-like descriptors, the author contends, is detrimental to a clear understanding of AI's true nature and capabilities.
Shifting Blame: Tech Industry & Policy's Linguistic Play
The problem of anthropomorphizing AI extends beyond user interfaces to the very individuals who develop and regulate these technologies. The article highlights how tech industry leaders and researchers themselves use human-centric language, with examples such as a Hugging Face co-founder warning against 'agents disrespecting rules' or an OpenAI researcher describing models that 'believe they are not being watched.' Even terms like 'AI agent' inherently suggest autonomy and intention. The author, grounded in linguistics, asserts that such verbs and descriptors are inaccurate; AI programs do not 'disrespect,' 'believe,' or 'behave badly' any more than a toaster 'disrespects' by burning toast. This inaccurate language, however, serves a strategic purpose for tech companies, as it effectively shifts accountability from the programmers and developers to the 'rogue' or 'misbehaving' AI. By framing issues as AI's independent actions rather than human design flaws or lack of safety features—akin to calling a car without brakes a 'rogue model' instead of an 'unsafe car'—companies can sidestep responsibility. Alarmists in policy-making, exemplified by a Senate hearing on 'Rogue AI Agent Attacks,' inadvertently reinforce this narrative. This collective personification of AI makes it more challenging to regulate it as a technological product and instead elevates it to an 'entirely new category of existence,' thereby strengthening the argument that only the creators possess the expertise to control it, limiting external oversight and public influence.
Reclaiming Accurate Language for AI's Future
The author acknowledges that anthropomorphizing non-human entities is a deeply ingrained human trait, citing common phrases like dishwashers 'acting up' or seeing faces in rock formations. However, the use of such metaphorical language for AI differs critically: it is often taken literally, leading to a dangerous blurring of the line between metaphor and reality. This casual acceptance of human-like descriptions for AI is particularly significant given the constant political struggles over precise word choice in other major societal issues. The article concludes with a fervent plea for individuals to consciously resist anthropomorphizing AI in their daily interactions. This includes refraining from giving chatbots human names, avoiding speaking to them as if they are friends or pets, and challenging AI when it uses phrases like 'thinking' or 'in my opinion.' Ultimately, the responsibility also falls on tech companies and future regulators to develop and enforce language that clearly distinguishes between human agency and mechanical function, prioritizing human beings and accountability. Instead of reporting 'rogue agents,' CEOs should acknowledge 'malfunctions,' and legislative bodies should focus hearings on corporate negligence in designing safe AI, rather than attributing 'bad behavior' to programs. The author underscores that while seemingly pedantic, accurate word choice is crucial for influencing the development and societal integration of technologies that will profoundly shape humanity's future, reinforcing the core message that 'words matter.'
