This is a landmark blog post. I just introduced a tag called
Augmented-by-AI. And this post is tagged with it.
This is going to be the new normal. Let me explain …
First things first: This blog post is not written by
It is Sunday morning, 6am and I am sitting here in my living room in my PJ with a cup of coffee and I am typing this. Believe me …
The reactions to the experience and the results range from …
OMG … this is amazing. Let’s use it for everything (e.g. let’s ask it to develop a cure for cancer and a plan for world peace (or at least a plan for peace in the Ukraine))
… to …
OMG … this is horrible and dangerous and we have to shut it down (or at least stop using it for 6 month) until we can make sure that
the AIsare not going to replace us as the apex predator in our eco-system (on earth)).
And there are lot’s of articles that (rightfully) put a lot of good
shades of grey on both of these (extreme) statements (I leave it as an
exercise to the reader to ask
chatGPT about it). The truth is
probably (as always) somewhere in the middle.
chatGPT cannot do (right now) is to tell you what I am thinking
about all of this (mainly because I am not famous enough and mainly
because the data that was used to train it (obviously) does not include
all of the discussions that have happened in the last 6 month).
Here are a couple of my thoughts …
- I do not think that
AIswill replace us anytime soon. But … I am convinced that there is value in using
AIsto get to better outcomes. Basically combine the best of a human being with the best of an
AIs. Means … I do not foresee this to be(come) an either-or situation, but more of a symbiosis, where
AIswill augment humans and turn us into super-humans (seeing, hearing, reading, writing, …). For instances blogging will move from writing down answers to writing down really good thoughtful prompts. Blogging will be(come) the
Art of Prompting. The answers will get (re)generated frequently (initially once a month; later any time somebody looks at the post). I would call this
Augmented-Blogging. And you can see how this will work well: First, we are far away from
AIsthat can ask good questions and second, the questions age much less fast than the answers and writing up the (good) answers takes a lot of time that is probably better spend to think about good questions/prompts. Very soon we will get worksheets that guide an
AIthrough a series of prompts to articulate a/the result of the discussion.
- And … it is not only going to be
Augmented-Blogging. It is going to be
Augmented-Everything. Which is not really new, because we have been doing
Augmented-Cooking(my dad is using YouTube for cooking; he is 85) and
Augmented-???… for a while now.
- But … there are also problems with using
chatGPTin particular. One problem that needs solving is transparency and trust. One thing that would go a long way with me is to make sure we continue to understand the source of a statement. Who said this? Was it Roland? Or Churchill? Or an AI? Who made that statement? In that context, I think we need water-marking (as a law) and an explain feature and a bias-filter, where content that is generated by an AI is (water-)marked as AI-generated and you can also ask the AI to explain how it came to the conclusion that this is a good answer and maybe even put a confidence interval on the quality of the answer and lastly see if there is a bias in the generated answer and what that bias is. THAT would be fantastic and would address a good part of the concerns that I have about using
- And … I think the water-marking is also needed for another
reason. Over the next couple of years we want to continue to train
models to get better and better, but we run a risk that more and
more the content we are using to train the models was generated by
previous versions of the model. And that content is obviously
lacking originality and creativity.
chatGPTcan rehash/rearrange/reformat existing content/ideas in a way to answer the question, but it cannot come up with a new idea. Means we need to find a way to exclude AI-generated content from training the next version of the model. This is not only try for language models. This is also true for image-processing and other kinds of machine-learning.
- Last but not least, I think I need to make piece with the fact that going forward I will not blog for other people to read it, but to provide training material for the next better model that will be trained in 6 month from now. I hope that my blog posts will help that model to be better than the last one. I also think that I will continue to write blog posts not because I think that people will read them, but because it is my way to reflect on a topic (like this one). Almost like journalling. Or the good old quote from Albert Einstein, that the best way to learn about relativity is to give a lecture about it (means you are not developing the lecture for the students; you are developing it for you and use it as a tool to think something through).
And here is what ChatGPT had to say about the topic …