4.5 years ago, our 3 years’ worth of design, teaching, and research was crystallised into the Blended Learning for In-service Teachers’ Professional Development: Handbook for New Instructors published by NTU-SCCL Press. while the book is still listed on SCCL’s website, the《混成式在职教师培训——新手指导员手册》 appears to be out-of-print. so sharing here a proof copy (not the final imprint) so that readers who are interested can still access the our experiences and knowledge within (:
LLMs, chatgpt & ubi 4.0
with the blazing speed that LLMs are (or commonly known as “chatgpt”) developing, some people may be worried abt job security.
it looks more like a case of “the rich gets richer, the poor gets poorer” 贫者愈贫，富者愈富, not in the monetary sense, but the knowledge creation sense. more precisely, LLMs/chatgpt are going to make the expert-layman’s speed/efficiency gap ever bigger. layman can only (blindly, unknowingly, ‘trustingly’) copy-n-paste without understanding (cos they do not have enough prior knowledge to assess the output), while the expert can build on what LLMs/chatgpt throw out and idea-improve repeatedly with the system with further prompting and/or data input.
based on the above theory, to ensure everyone’s livelihood and well-being tmr (not limited to those who are worried abt job security), the idea of universal basic income (UBI) would probably need to upgrade to at least a 4.0:
UBI – food, water housing
UBI 2.0 – food, water, housing, power/electricity
UBI 3.0 – food, water, housing, power/electricity, wifi
UBI 4.0 – food, water, housing, power/electricity, wifi, negotiate/prompt LLMs
so what would UBI 4.0 mean for a k-12 school teacher? oh btw, openai just released its Code Interpreter within chatgpt4 few days ago. another game changer?
and thanks ziwei for the early brain-waking convo (: