On the Use of AI
Things that raise questions about efficacy of AI…either in a good way or bad way.
On the Use of AI
Michael Schaffner added 4mo
Nature paper demonstrates that training AI on AI-generated data eventually produces nonsense (as expected?).
Michael Schaffner added 7mo
Blatant logical contradiction
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 3mo
Francois here speaks to coding, but this estimate mirrors my experience with non-coding tasks.
Michael Schaffner added 6mo
Grok has inconsistent logic around chronology, apparently only the pretense of math, and irrelevant paragraphs and calculations
Basically no internal consistency
Michael Schaffner added 7mo
It willingly acquiesces if told false information
Michael Schaffner added 5mo
Michael Schaffner added 7mo
Mixed results from interpreting an image. Seems capable, but this was in response to the question “is there a cup on my desk?” and uploading the image.
Nibble - AI Negotiation Platform - B2B, DTC, Marketplaces
nibbletechnology.com
Michael Schaffner added 4mo
I can’t decide if I love this or hate it
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 5mo
Y Combinator winner/CEO, developing a new email marketing system.
Michael Schaffner added 7mo
Francois has shown good interpretation and judgment in the past.