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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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[–] damhack@alien.top 1 points 10 months ago

Depends on if the bubble you are referring to is the current crop of Transformers. Which will keep running for a good while. However, the bubble will be made larger once Karl Friston’s group start releasing and low power Transformer-optimised optical chips start production next year. I can’t see an end to it as most current issues are in the process of being solved, including smaller, faster, less hallucinatory low compute models. We’re only just hitting the multimodal on-ramp and that journey has far to go.