Academics from the University of Glasgow discuss their paper classifying ChatGPT's outputs as 'BS'. They explore AI communication nuances, language learning, ChatGPT's limitations, and the challenges of using AI in academia. The conversation dives into the shortcomings of AI models and the dangers of overhyping them, emphasizing the importance of human intelligence in problem-solving.
Large language models like ChatGPT are classified as 'BS' due to lack of concern for truth.
ChatGPT lacks true consciousness and intentions, operating as soft bullshitters.
Turing Test is limited in assessing intelligence; models like ChatGPT focus on pattern recognition, not true understanding.
Deep dives
Bullshitting vs. Lying in Large Language Models
The podcast detailed a research paper discussing the distinctions between bullshitting and lying in large language models like ChatGBPT. The researchers emphasized that while lying involves intentionally stating false information, bullshitting, as defined by Harry Frankfurt, occurs when information is shared without concern for its truth. Large language models like ChatGBPT lack a caring attitude towards truth and intention to deceive, falling under the category of soft bullshitters rather than hard bullshitters.
Intentions and Consciousness in ChatGBPT
The discussion centered on whether large language models like ChatGBPT possess intentions and consciousness. The researchers explored the notion that the design and training methods of such models influence their actions and outputs. They highlighted that while these models aim to mimic human conversation and understanding, they lack genuine consciousness and are more akin to soft bullshitters, guided by statistical models and without true intention or awareness of truth.
Turing Test and Artificial General Intelligence
The conversation delved into the limitations of the Turing Test in assessing intelligence and consciousness. The researchers pointed out the flaws in solely relying on behavior-based tests like the Turing Test to determine intelligence. They noted that specialized tasks and pattern recognition, as seen in models like ChatGBPT, do not equate to artificial general intelligence, emphasizing the importance of reasoning, argumentation, and conscious understanding beyond mere mimicking of human language.
The Impact of Using Chat GPT in Academic Writing
Chat GPT, a large language model, poses challenges in academia as students may utilize it to produce essays, hindering their development in critical reading and writing skills. The technology's proficiency in summarization could lead students to rely on it for skimming papers for discussion instead of engaging deeply with the content. Concerns are raised about the potential detrimental effects on students' ability to formulate arguments and conduct critical analyses, highlighting the need for educators to promote independent thinking and writing proficiency.
Ethical Considerations and Risks Associated with Chat GPT
The podcast delves into the ethical implications and risks associated with Chat GPT and similar large language models. It discusses the rise of malicious phishing emails by 1,265% since Chat GPT's inception, highlighting the technology's potential misuse for fraudulent activities. Furthermore, concerns are raised regarding the biases and misinformation generated by language models, indicating a lack of effective measures to mitigate negative consequences. The need for proactive strategies to address these issues and prioritize responsible use of AI technologies in educational and societal contexts is emphasized.
In a paper released earlier this year, three academics from the University of Glasgow classified ChatGPT's outputs not as "lies," but as "BS" - as defined by philosopher Harry G. Frankfurt in "on BS" (and yes I'm censoring that) - and created one of the most enjoyable and prescient papers ever written. In this episode, Ed Zitron is joined by academics Michael Townsen Hicks, James Humphries and Joe Slater in a free-wheeling conversation about ChatGPT's mediocrity - and how it's not built to represent the world at all.