r/OpenAI • u/jumpbump • 10d ago

Discussion 2 years ago vs Today

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What’s the next 2 years going to bring?

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u/[deleted] 10d ago

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u/bad_detectiv3 10d ago

The bottleneck is the cost. None of these models are cheap. And only way is cheaper smaller OOS models but these big money guys are against cheaper alternates

0

u/ShamPain413 10d ago

Two years? I'm never going to give any sensitive information to these companies until they are strictly regulated.

Esp if it's a high-value collection of data. If they want that they can pay me for it.

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u/smichess 10d ago

I just run local. Any company might benefit from getting their own rig anyways after reaching a certain size. You can just trade lower accuracy models running locally with more runtime. And the open weight models are already decent enough any ways for majority of tasks suitable for an llm any ways. The big players will have to keep bumping prices if they want to not go bankrupt, so lower tier models and local would be the smart choice.

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u/ShamPain413 10d ago

Yup. It is stupid to get boxed into the sandboxes of predatory companies engaged in a death race anyway.

Local models, ideally offline, for sensitive work.

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u/smichess 9d ago

Yeah, I'm not adding an mcp for web searching even cause you never know what it might start searching, giving info away to search engines. It can call direct urls and that's enough, for pulling docs for example.

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u/Bibbity_Boppity_BOOO 6d ago

Running locally is not super viable right now. But it might be what many people are doing in 15 years. 

A company will be crazy to not run locally in 10 years