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[D] What is the future for ML researchers and startups? (alien.top)

submitted 10 months ago by francMesina@alien.top to c/machinelearning@academy.garden

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With the advent of LLMs, multimodality and “general purpose” AIs which seat on unimaginable amounts money, computing power and data. I’m graduating and want to start a PHD, but feel quite disheartened given the huge results obtained simply by “brute-forcing” and by the ever-growing hype in machine learning that could result in a bubble of data scientists, ML researchers and so on.

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[–] Tricky-Variation-240@alien.top 1 points 10 months ago

The same as always, using lightgbm.

Joke aside, you can train a LLM to give the result of 1+1 and it can sometimes be wright. That's an expensive way of solving that problem.

You can also develop a simple calculator, that will always get an accurate awnser.

My point being that simply because the algorithms you mentioned 'can' solve a problem, doesn't mean they are the best solution for that. That are a bunch of NLP problems that LLMs are supbar for exemple.

The future of ML in startups will be the same as it currently is: find the best solution to the problem given the particularities of the problem and the business constraints (i.e. money).