One million machine learning specialists are needed by 2027. These bootcamps are teaching the in-demand skills
fortune.com
external-link
Companies like Simplilearn, edX, and Springboard are hoping to bridge the talent gap in machine learning.

I personally think it’s a lot of bs

Making the call now. AI as a business will be dead in 1 or 2 years.

It will have moved on to individuals running their specialized smaller models focused on specific tasks on their own machines, and google and openAI running their more general AI at a loss every year.

It depends on what you’re calling AI. The LLM hype may die down, but Ml/AI in general has been continuing to grow and expand for well over a decade. It’s just unlikely that all the things being prophesied right now will come to fruition.

Yeah, I mean specifically LLMs.

deleted by creator

You know something is fishy when nft crowds and cryptobros went all in to AI.

Whenever a new hype is going around I like to think back about the 3D printing craze and how little is left of all the glorious promises.

They are cool and a neat way of manufacturing things, but what they are absolutely not is magic machines.

AI/ML will find it’s niche and will allow for new and even exciting things, but it won’t be the end-all-be-all in it’s current form. It’s an overgrown version of statistics after all.

Turun
link
fedilink
68M

the 3D printing craze and how little is left of all the glorious promises.

Not sure what the promises were that you in particular heard. But 3D printing is a fundamental part of prototyping now. The vast majority of companies designing physical products have 3D printers to try out new ideas.

Yeah, 3D printers are everywhere. Both as a business and as a hobby, it’s bigger than it has ever been.

ML/AI was already used heavily before LLMs came about.

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