ChatGPT


25. Despite its large size and high accuracy, ChatGPT still makes mistakes and can generate biased or inaccurate responses, particularly when the model has not been fine-tuned on specific domains or tasks.

38. The GPT-3 AI model reportedly cost OpenAI $12 million for a single training run.

39. Tom Goldstein, an AI ML Professor at Maryland University, has estimated the daily cost of running ChatGPT to be approximately $100,000 and the monthly cost to be $3 million. His estimates are based on Azure Cloud costs (server infrastructure on which ChatGPT runs).


27. ChatGPT’s knowledge is limited to its training data, which has the cutoff year of 2021.

feeding the monster?
wow that is really quite the expensive test run!
 
DeepSeek's libraries

 
deepep.webp
 
How is the chatGPT thing going these days? Still refuse to try it. Now they are training us to use this github pilot something at work. Nothing more annoying than an autocomplete that is way off for a class I am trying to write. Get off my lawn! 🤣🫡🫶🏻
I don't use/need it..
What about this new stuff!!
 

Attachments

  • 1741257102603.webp
    1741257102603.webp
    48.6 KB · Views: 72
In the pantheon of digital technologies that have reshaped human behavior, artificial intelligence
stands out as perhaps the most insidious threat to our cognitive independence. This
essay examines how AI functions as a digital drug, creating dependencies that systematically
erode fundamental human capacities for thinking, creating, and reasoning. We analyze the
multifaceted impacts across domains including education, programming, scientific research,
and social media, demonstrating how AI-induced cognitive atrophy represents an unprecedented
challenge to human intellectual autonomy. We conclude with recommendations for
digital temperance to preserve cognitive independence while benefiting from AI’s legitimate
advantages.
 

Attachments

In the pantheon of digital technologies that have reshaped human behavior, artificial intelligence
stands out as perhaps the most insidious threat to our cognitive independence. This
essay examines how AI functions as a digital drug, creating dependencies that systematically
erode fundamental human capacities for thinking, creating, and reasoning. We analyze the
multifaceted impacts across domains including education, programming, scientific research,
and social media, demonstrating how AI-induced cognitive atrophy represents an unprecedented
challenge to human intellectual autonomy. We conclude with recommendations for
digital temperance to preserve cognitive independence while benefiting from AI’s legitimate
advantages.
This rings true, and is quite scary.

Where is this paper from? Couldn't help noticing the author, C. Opus: Claude Opus 4 ??
 
Random thoughts

1. Is prompt engineering clutching at straws? A cop-out for robust requirements analysis?
2. NLP is fraught with pot-holes. It won't work in general. Wittgenstein would have a lot to say.
3.Will ChatGPT ever be a requirements analyst? Probably not, because it is a name dropper and it has no STM?
Can you train ChatGPT to become a requirements analyst in fixed income?
 
This is just the beginning—give it time. It’s going to be a game changer. I’ve been using ChatGPT for a while to refactor my code, and the insights it provides are outstanding. It’s not just about writing better code—it’s also helped me learn and uncover new strategies throughout the development process. I've realized that coding itself is no longer the hard part; the real challenge now lies in crafting the right logic and designing effective algorithms.
----
Kind Regards Dr. Duffy !!!
 
Back
Top Bottom