Machine Learning Street Talk (MLST) #029 GPT-3, Prompt Engineering, Trading, AI Alignment, Intelligence
Nov 8, 2020
Connor Leahy, known for his work with EleutherAI, joins a fascinating discussion on AI, trading, and philosophy. The group delves into the potential of GPT-3 and the emerging skill of prompt engineering, arguing it could redefine software development. They explore the unpredictability of stock markets and critique the deceptive nature of quant finance. Additionally, philosophical dilemmas surrounding AI alignment and the ethical implications of technology in business are scrutinized, while pondering the complex relationship between randomness and human intelligence.
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PhD Frustrations
- Tim, Keith, and Yannic share their PhD frustrations.
- Tim had nightmares about not finishing, Keith became disillusioned with academia's politics, and Yannic found renewed excitement through their podcast.
Academia to Wall Street
- Keith transitioned from academia to Wall Street quant due to disillusionment.
- He sought an environment explicitly focused on making money.
Quants: Smoke and Mirrors?
- Tim questions the validity of quant's technical analysis, suspecting a smokescreen.
- Keith explains tail risk strategies, where consistent small gains are followed by a massive loss.
