Hyption
Than it takes enough situations.
Like someone is dropping something or whatever.
I realized that's not the reaction I want to have and have a core memory of a woman asking a man who drove into the wall (with the back of a truck) if everything was okay with him before even checking the damage to the truck and her house wall.
I want my first reaction to be like that.
My older cousin told me on e that our grandpa was also like my father.
It's an unlogical trained behavior. Nothing more.
And unfortunately that also means there is no reason for people being like that than 'they learned it.
Germans have the word schadenfreude. Is it even a cultural pattern and my family just pushed the goal post further than others?
It's the first time ever I talk to a system and it does something useful.
If it's able to understand in German and English that I want x and y it's the first time we will have something normal people can use.
It's the perfect working interface.
You know I loved the idea of a chatbot but it was way to stupid. But I only wanted it to do basic things.chatgpt already can do more than the basic system I need.
I'm totally fine of writing good and extensible documentation with good examples and stuff (what I already do anyway) and if chatgpt now can do 90% of basic support queries it will already change a lot.
I'm NOT necessary exited because it can answer random questions in a way that it feels like an agi.
What you want is tradition not reasoning.
From a pure Logic point of view metric is better.
And it's used in the USA.
Even inches and feet are based on the metric meter.
I'm hyped because I threw normal text (sentences) against it and it always did what I wanted and it didn't matter if it was bad English or bad German.
I didn't even try promt hacking or promt tuning because natural language already worked so good.
It's a tremendous good 'normal human' text interface.
You know when you hear gay for the first time and find it weird and perhaps dirty, realizing that it isn't and that it doesn't concern me either.
Or traveling and understanding the world better.
'which helped launch the movement of those opposed to endocrine disruptors, was retracted and its author found to have committed scientific misconduct'
He uses the old names from two transgender students on purpose.
He is a bully.
Of course there are two primary gender in biological context and it doesn't make a lot of sense to subcategories them.
And I also don't want to be cancelled because someone thinks it's not okay to write transwoman when it makes sense.
It's a valid sentence to say 'i don't want to date transgender woman'.
And it also makes sense to separate woman rights from transwoman rights.
Unfortunately I'm a normal person with my primary/only income being my salary.
I benefit from this 100 times more than not.
I can't and won't do tax evasion. The rich and bad do.
It can reproduce the right output of 3 insert statements with a select *.
It can interpretate an SQL procedure too.
Whatever the architecture is behind this, is slightly more than just text prediction.
I don't think 'text prediction ' does this type of state management justice.
But hey let's see. Perhaps this is just an emerging feature from a tremendously huge text/language model.
Ask it to write an SQL query and it will.
Give it upfront context and it will be able to produce API commands.
The voice recognition can trigger chatgpt API 'create API command for the following text's.
The practical problem is cost and hardware.
But this is closer than we ever were.
It told me the sidebar.js way.
I asked it to tell me another option which I can configure in the doc file directly.
Chatgpt got all of that right. If this is just a text prediction engine, it's crazy impressive how well it just works.
I don't even start designing the prompt to get what I need.
I definitely will follow all of this very closely and already have plenty of use cases for this 'text prediction engine '.
I'm hyped because I'm waiting for ml to break through for a while. Google for example has a huge us hospital under it's cloud platform with tons and tons of data.
We will see more and more expert systems.
Chatgpt will push for more investments.
This is not just a hype it's part of the journey we are for a few years now.
And in comparison to shit like crypto or nft there are already clear benefits.
Stabel Diffusion is fun to use and to explore.
Chatgpt is fun to use and to explore.
Not that this is any indication but the interest in SD was huge but the interest in chatgpt is much bigger. We had multiple internal talks about it and due to the interest in it, more got scheduled.
You will no longer search through documentation. You will just ask the product documentation what you need.
All of those real life use cases pushes more and more money into this topic
And just an hour ago I asked chatgpt how to do something specific with docusaurus (Facebook static page generator) and it just told me the answer.
You know how often I explain things in my current position?
How slow some developers are? How often they forget things I told and explained them? How often they still get things wrong?
It's a slow process and doesn't scale very well at all.
If the table turns and we all teach one system instead ooohh boy.
It will make experts faster and better and potentially removes a certain amount of people in every industry faster than we can imagine.
You know the people who are adding some value but not that really but it's still better to have them than not having them?
Cloud probably got rid of plenty of basic sysadmins.
These new systems break through tasks were no one had an idea how we will break through.
And it doesn't need to be more correct to disrupt industries already it just needs to be more correct than humans.
The most crazy thing is that it's already so good and coherent that it makes totally sense to train a ml model like chatgpt instead of training humans! Because it scales.
We never had this.
And.i already mentor a few junior people I don't mind training an ai instead.
And more and more puzzle peaces are falling in place.
We can see were it is going.
And when you follow Nvidia with their digital twin topic, we are converging.
It's tremendously coherent.
The chance that chatgpt just hears your example and than does the right thing is nearly a no brainer.
It already understood much more complicated prompts from my tests with ease.
Siri and other agents struggle tremendously and the implication after such a long time has to be a reflection of either a tremendous Missmanagement or that those classical approaches are just too hard.
Or that the chatgpt people are genius.
But that would be even worse: it would show how much impact chatgpt and co will have sooner than later.
But I actually played around with chatgpt just today and holy shit.
I never ever talked to a bot like I talked to chatgpt.
Is it perfect? Not at all but I already was able to use it for practical things.
It feels tremendously natural.
This is so close to everything I'm looking for in an AI that it shows all the potential already without much fantasy.
This will not go away.
It will transform every aspect.
I wish I would be in university right now. This thing can explain things.
This thing understands context.
And it's multilingual out of the box.
The coherence chatgpt already shows let me believe that it does create an internal model which is more than just doing basic statistics.
Alexa was great to experience because it showed me already how a voice interface feels like.
But Alexa and chatgpt?
Chatgpt trained on documentation!
Chatgpt / ml like this will be the universal knowledge library the Rosetta stone.
We are experiencing the creation of the Alexandria library.
Let's see how long it will take to combine dall e/Stabel Diffusion, got, chatgpt together with other things like voice synthesis and voice recognition.