On the Use of AI
Things that raise questions about efficacy of AI…either in a good way or bad way.
by Michael Schaffner · updated 1mo ago
On the Use of AI
- So far, over the past 2 years, I have invested more time trying to make genAI work for me than what genAI has saved me. Maybe by a 2-3x factor. But I will keep trying.
Michael Schaffner added 1mo ago
Francois here speaks to coding, but this estimate mirrors my experience with non-coding tasks.
A new paper in Nature found that you cannot, in fact, train AIs on AI-generated data and expect them to continue improving. What happens is actually that the model collapses and ends up producing nonsense.Michael Schaffner added 2mo ago
Nature paper demonstrates that training AI on AI-generated data eventually produces nonsense (as expected?).
Michael Schaffner added 3mo ago
Uhhhhh more questions re: math?
A single Nvidia GPU consumes the same energy as a typical U.S. home Pretty wild stat https://t.co/Xw91ne4Sm4Michael Schaffner added 3mo ago
energy consumption continues to be a problem
Michael Schaffner added 4mo ago
- we removed the AI-powered search from our docs because it was unreliable and made up fake features still waiting for the production-grade llm that can reliably produce data without hallucinations long way to go
Michael Schaffner added 4mo ago
Y Combinator winner/CEO, developing a new email marketing system.
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