![]() ![]() ![]() |
|
kingdragonfly:
In my case, it's obvious the AI doesn't know what a progress bar actually does, and always returned a progress bar half full, no matter how I worded the question.
Going the opposite direction of AI, did you know that all modern browsers can render a progress bar without the use of javascript? Something I learned the other day...
<progress value="6" max="10"></progress>
kingdragonfly: I accidently came across the "glass half full" problem with AI.
Someone on Youtube reported requested AI draw a picture of a wine glass, overflowing with wine.
The AI kept drawing a half full glasses of wine. Several times the person requested it be full, and the AI would politely say something like "Now I understand. Sorry. Let me try again" and then draw a another half full glass of wine.
The conjecture was the AI had only seen half full glasses of wine, because a completely full wine glass would be unusual in the real world. The AI had no concept of "full" or "overflowing" because it's not human.
Thanks not how diffusion models work. There's very accessible and available videos online that explain how image generation works. If you watch some of those you won't have to conjecture about it.
kingdragonfly: This is a parody.
AI Customer Service meltdown π | She Just Wanted to Add Her Boyfriend to the Plan!!
Lame
I'll just leave this here...π
Opinions are my own and not the views of my employer.
AI is taking over soo much. What surprises me is the push for AI given the insane power & cooling requirements needed.
Found on Instagram:
Senecio:
We're currently piloting AI in our demand planning processes. Across the globe we employ about 20 people in demand planning roles. Even at this early stage in the pilot the AI tool is already producing results as good or better than our current process. And it will only get better as it continues to train itself and we start to feed it more data points.
I'm far from an AI fanboy but demand planning is the perfect use case for AI in a corporate environment.
Demand Planning is a classic case of a niche that would benefit immensely from Operations Research principles being applied to it.
And Operations Research is merely the old school form of sexy Data Science. And the current fanboyism for ML/AI is merely the latest evolution of Data Science itself.
So yes, it makes sense that Demand Planning benefits a lot from AI.
sidefx:
They weren't labelled LLMs at the time, but I seem to recall very early what I would call precursors being around.
Certainly AI chatbots have existed for a long time, long before even the 2000's. And they were getting better and better with time.
But the theory breakthroughs behind the big leap forward we saw with LLM didn't get going until the mid / late 2010's.
gehenna:
kingdragonfly: I accidently came across the "glass half full" problem with AI.
Someone on Youtube reported requested AI draw a picture of a wine glass, overflowing with wine.
The AI kept drawing a half full glasses of wine. Several times the person requested it be full, and the AI would politely say something like "Now I understand. Sorry. Let me try again" and then draw a another half full glass of wine.
The conjecture was the AI had only seen half full glasses of wine, because a completely full wine glass would be unusual in the real world. The AI had no concept of "full" or "overflowing" because it's not human.
Thanks not how diffusion models work. There's very accessible and available videos online that explain how image generation works. If you watch some of those you won't have to conjecture about it.
I would be surprised if diffusion was the technique used to answer that question.
An English joke which might highlight it is the difference between a traditional English pint, and a new pint. While both are 568ml, the traditional pint was filled to the very top of the glass, whereas a new pint was filled to a fill-line about an inch from the top (5%).
Software Engineer
(the practice of real science, engineering and management)
A.I. (Automation rebranded)
Gender Neutral
(a person who believes in equality and who does not believe in/use stereotypes. Examples such as gender, binary, nonbinary, male/female etc.)
...they/their/them...
|
![]() ![]() ![]() |