This can’t be true… Businesses wouldn’t reshape their entire portfolios, spending billions of dollars on a technology with limited to no utility. Ridiculous.
Anyways, I got these tulip bulbs to sell, real cheap, just like give me your house or something.
Can confirm, I’m an electrical engineer working on a power substation supplying power to a future datacenter (not sure if an Ai project, there’s more that one). Let’s just say, money is no issue, commissioning schedule and functionality are their priorities.
Does that mean that enemy AIs that choose a random position near them and find the shortest path to it are smarter than chatgpt? They have been called AI for longer than i played games with enemies
AI is a very old field, and has always suffered from things being excluded from popsci as soon as they are achievable and commonplace. Path finding, OCR, chess engines and decision trees are all AI applications, as are machine learning and LLMs.
The discipline of Artificial Intelligence was founded in the 50s. Some of the current vibe is probably due to the “Second AI winter” of the 90s, the last time calling things AI was dangerous to your funding
So? I don’t see how that’s relevant to the point that “AI” has been used for very simple decision algorithms since for along time, and it makes no sense to not use it for LLMs too.
AI does not exist. Large language models are not intelligent, they are language models.
This can’t be true… Businesses wouldn’t reshape their entire portfolios, spending billions of dollars on a technology with limited to no utility. Ridiculous.
Anyways, I got these tulip bulbs to sell, real cheap, just like give me your house or something.
Remember, investment in LLM infrastructure on the US is currently larger than consumer spending.
And they will cut interest rates soon, so expect the number to go up (the investment number, that is, not value).
Can confirm, I’m an electrical engineer working on a power substation supplying power to a future datacenter (not sure if an Ai project, there’s more that one). Let’s just say, money is no issue, commissioning schedule and functionality are their priorities.
deleted by creator
I would argue that, prior to chatgpt’s marketing, AI did mean that.
When talking about specific, non-general, techniques, it was called things like ML, etc.
After openai coopted AI to mean an LLM, people started using AGI to mean what AI used to mean.
To common people perhaps, but never in the field itself, much simpler and dumber systems than LLMs were still called AI
Does that mean that enemy AIs that choose a random position near them and find the shortest path to it are smarter than chatgpt? They have been called AI for longer than i played games with enemies
You can also disprove the argument by just using duckduckgo and filtering from before OpenAI existed https://duckduckgo.com/?q="AI"&df=1990-01-01..2015-01-01&t=fpas&ia=web
People have called NPCs in video games “AI” for like, decades.
That would be a deeply ahistorical argument.
https://en.wikipedia.org/wiki/AI_effect
AI is a very old field, and has always suffered from things being excluded from popsci as soon as they are achievable and commonplace. Path finding, OCR, chess engines and decision trees are all AI applications, as are machine learning and LLMs.
That Wikipedia article has a great line in it too
The discipline of Artificial Intelligence was founded in the 50s. Some of the current vibe is probably due to the “Second AI winter” of the 90s, the last time calling things AI was dangerous to your funding
Doom enemies had AI 30 years ago.
But those weren’t generated using machine learning, were they?
So? I don’t see how that’s relevant to the point that “AI” has been used for very simple decision algorithms since for along time, and it makes no sense to not use it for LLMs too.
A thermostat is an algorithm. Maybe. Can be done mechanically. That’s not much of a decision, “is number bigger?”
deleted by creator
It’s pretty funny you think LLMs are the only implementation of machine learning