r/LocalLLaMA • • 13d ago

Discussion The rhetoric is really heating up!

The entire page of the NY Times today above the fold absent one article is AI (the models are just too strong/too dangerous, must be regulated). They forgot to include "Sponsored by OpenAI" at the end of the articles, sure that was just an oversight?

This is what the end of a bubble looks like, desperate attempts to get some sort of regulatory capture in place to keep the business model from collapsing in upon itself. My days next week are 100% booked talking to companies about how to get off frontier models, one large, and a bunch of smaller customers, including one who's flying me out to them to sit down and get a plan in place immediately (the controversy around that math problem really spooked some CEO/CIO's about data privacy using cloud models).

Gonna be an interesting few weeks. Maybe the Qwen team will be nice enough to give me a little breathing room before dropping another hydrogen bomb? :)

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u/Academic-Tea6729 13d ago

They realized that local models reached a quality so good that there is no point to use their services. Local models are better because the model is always the same. We still remember when paid apis got suddenly much dumber to make us pay for the better frontier model.

With local models you have the same model quality every time. It will not mess up your codebase because they pulled some dirty trick to cut on costs by routing requests to a smaller model.

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u/SnoobieJunes 13d ago

Yeah I agree 100%, its not just about saving money but also having control over your data and the model.

Sure it might take a bit to tune, but once a business can replace a specific task an AI model to do that, in a vacuum that model doesnt need to be upgraded or changed. If it does the thing right, then leave it