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Reddituser45005 t1_iw4ygwn wrote

Reply to comment by elonmusk12345_ in Will this year be remembered as the start of the AI revolution? by BreadManToast

The field is increasingly dominated by established tech giants so there is less opportunity for start ups. The cost of entry is high. In addition, it’s a mistake to just focus on US companies. AI research is happening globally and China, in particular, is battling the U.S. for AI supremacy.

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visarga t1_iw6ab1o wrote

Maybe state of the art foundation models are hard to do without deep pockets, but applications built on these models are 100x easier to make now than before. I mean, you just tell it what you want. That's lowering the entry barrier for the public. Everyone can get in on it.

Used to be necessary to collect a dataset, create a custom architecture, train many models, pick the best, iterate on the dataset, etc to get to the same results. The work of months or years compressed into a prompt. It's not just artists that are being automated, traditional ML engineers too.

The only solution for ML eng is to jump on top of GPT-3 and its family, no more work left to do at a lower level. I am talking from personal experience, 4 years old project with 5 engineers and 3 labellers was solved at first sight by GPT-3 with no tuning. Just ask it nicely, it's all you have to do now.

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