Don't Get Pulled Under by the A.I Hype Wave
In briefAI summary — tap to read
Tim Allen examines the hype surrounding AI, comparing it to previous tech boom-and-bust cycles like Second Life and cryptocurrency, and warns that the terminology used to describe generative models obscures corporate responsibility while enabling misinformation. He argues that current AI systems are sophisticated machine learning models, not true artificial intelligence, and that the pressure to always provide answers rather than acknowledging limitations poses real dangers to society, from job discrimination algorithms to election interference.
Key takeaways
- Generative AI is machine learning, not artificial intelligence; calling it 'AI' is marketing, and anthropomorphizing these systems with terms like 'hallucination' removes corporate responsibility for inaccurate outputs.
- The hype cycle for current generative models mirrors the Dunning-Kruger effect and peaks higher than previous tech trends, creating dangerous conditions for misinformation and election interference.
- Real-world harms are already occurring: biased hiring algorithms, environmental costs (Microsoft's water usage increased 30% year-over-year), poisoned software supply chains, and deepfakes undermining collective truth.
- These systems trained on vast internet data frequently generate falsehoods presented as facts, and because falsehoods are baked into billions of parameters, removing copyrighted material requires retraining entire models at enormous cost.
- Positive applications exist—real-time captioning, tutoring, accessibility—but guardrails and ethical responsibility from technologists are essential to prevent this technology from becoming primarily a tool for customer service obstruction and social control.
About Tim AllenTim Allen is a principal engineer at Wharton Research Data Services at the University of Pennsylvania, a member of the Python and Django software foundations, core team member of Wagtail CMS, and Django Con US organizer who has been writing code since 1980.
AI-generated from the meeting recording — AI can make mistakes, so check the recording for anything important.
MEETING FOR THE WEEK OF June 3, 2024
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Program: Don't Get Pulled Under by the A.I Hype Wave
Speaker: Tim Allen
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Program: Don't Get Pulled Under by the A.I Hype Wave
Speaker: Tim Allen
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Our speaker, Tim Allen, joined Wharton Research Data Services in 2008, after working for local companies and starting a few of his own. He began programming at age six during a summer camp his mother won in a raffle. Tim currently serves as an organizer of the Philadelphia Python Users Group, DjangoCon US, and as a member of the Python Software Foundation and Django Software Foundation.
Tim is an avid hockey fan, was the first person to sell real-world items for virtual micro currency long before Bitcoin, is an avid open-source contributor, and enjoys beating his head against brick walls (as demonstrated by his passion for coding, cycling in Philadelphia, and never-ending quest to get his cat to behave). A lifelong Philadelphia resident, he graduated from the University of Pennsylvania in 1996 with an individualized major, "Computer Aided Information Acquisition."
Congratulations, technologists! We have reached a new record for the height of the peak of inflated expectations with the hype surrounding "A.I." If you believe the recent press, "A.I." is going to be capable of everything, with some even talking of immortality. It is wonderful to be excited about new technology available to us, but this is at a level I have never seen in my career. There have been numerous lessons from the past that illustrate why we should avoid these levels of hype.
Is "A.I." going to change everything? Tim doesn’t buy it, and in this talk, he’ll explain why.
Members and guests, please welcome Tim Allen!
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