GENERATIVE
AI - SCIENCE AND TECHNOLOGY 
News:
What is Generative AI,
the technology behind OpenAI's ChatGPT?
What's
in the news?
●      
Generative artificial intelligence has
become a buzzword this year, capturing the public’s fancy and sparking a rush
among Microsoft and Alphabet to launch products with the technology they
believe will change the nature of work.
What
is generative AI?
●      
Like other forms of artificial
intelligence, generative AI learns how
to take actions from past data. It creates brand new content – a text, an
image, even computer code - based on that training, instead of simply
categorizing or identifying data like other AI.
●      
The most famous generative AI application
is ChatGPT, a chatbot that Microsoft-backed OpenAI released late last year. 
●      
The AI powering it is known as a large language model because it takes
in a text prompt and from that writes a human-like response.
GPT-4:
●      
GPT-4, a newer model by OpenAI is “multimodal” because it can perceive not
only text but images as well. 
Significance:
●      
The businesses
are already putting generative AI to work. The technology is helpful for
creating a first draft of marketing copy, for instance, though it may require
clean up because it isn’t perfect. 
○      
Example: CarMax Inc, which has used a
version of Open AI’s technology to summarize thousands of customer reviews and
help shoppers decide what used car to buy.
●      
Day-to-day
digital needs - Generative AI likewise can take notes
during a virtual meeting. It can draft and personalize emails, and it can
create slide presentations. 
Concerns:
●      
There is a concern about the technology’s potential abuse. 
●      
School
systems have fretted about students turning in AI-drafted
essays, undermining the hard work required for them to learn. 
●      
Cybersecurity
researchers have also expressed concern that generative AI could allow bad
actors, even governments, to produce far more disinformation than before.
●      
At the same time, the technology itself is
prone to making mistakes. Factual
inaccuracies touted confidently by AI, called “hallucinations,” and responses
that seem erratic.