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Open vs Proprietary AI Models

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The debate over AI models reflects a pressing urgency to wrest control from big tech "hyperscalers" to safeguard future career stability and ensure technological accessibility. While proponents urge an immediate shift toward open-weight models to diminish the dominance of proprietary platforms, others express confusion over what truly qualifies as "open" and question if self-hosting can realistically compete with state-of-the-art commercial infrastructure. This tension is further complicated by the prohibitive cost of hardware, leading to a cynical consensus that the sheer expense of running high-level models may keep the public tethered to large labs indefinitely.

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Yeah, there's no way we have these careers in 30 years. The best we can do is wrestle the control away from hyperscalers and get as much of this capability into the open as possible. Stop using Anthropic products and start using weight available models. (I'm not talking ICs - I mean the entire startup / tech ecosystem.)
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Maybe you can recommend some of those models? I'm honestly bewildered - what is open and not?
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How stopping using hyperscalers models on their infra would "get as much of this capability into the open as possible"? Either "we" create models better than commercial state of the art (by using whatever means). Or we use open models AND fund organisations building such models (could be by purchasing service from these orgs or donations - in which case would these orgs be different than hyperscalers?). But i dont see how just hosting the models on some private servers would give us an edge?
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Have fun trying to afford the necessary hardware to run open models acceptably. The big labs are trying to make sure we won’t be able to in short order.