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451 points imartin2k | 1 comments | | HN request time: 0.207s | source
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einrealist ◴[] No.44478912[source]
The major AI gatekeepers, with their powerful models, are already experiencing capacity and scale issues. This won't change unless the underlying technology (LLMs) undergoes a fundamental shift. As more and more things become AI-enabled, how dependent will we be on these gatekeepers and their computing capacity? And how much will they charge us for prioritised access to these resources? And we haven't really gotten to the wearable devices stage yet.

Also, everyone who requires these sophisticated models now needs to send everything to the gatekeepers. You could argue that we already send a lot of data to public clouds. However, there was no economically viable way for cloud vendors to read, interpret, and reuse my data — my intellectual property and private information. With more and more companies forcing AI capabilities on us, it's often unclear who runs those models and who receives the data and what is really happening to the data.

This aggregation of power and centralisation of data worries me as much as the shortcomings of LLMs. The technology is still not accurate enough. But we want it to be accurate because we are lazy. So I fear that we will end up with many things of diminished quality in favour of cheaper operating costs — time will tell.

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1. PeterStuer ◴[] No.44478949[source]
"how much will they charge us for prioritised access to these resources"

For the consumer side, you'll be the product, not the one paying in money just like before.

For the creator side, it will depend on how competition in the market sustains. Expect major regulatory capture efforts to eliminate all but a very few 'sanctioned' providers in the name of 'safety'. If only 2 or 3 remain, it might get realy expensive.