In Jan 2027, it will be standard practise for non-AI-building tech companies to finetune and train their own models | Manifold

In Jan 2027, it will be standard practise for non-AI-building tech companies to finetune and train their own models

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Wouldn't this be at least partially dependent on their market cap? I can imagine a scenario where, for example, most fintech companies are happy to spend x% of their revenue / turnover a year on AI model build and tuning but startups might not have the capital

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Related questions

Will models be able to do the work of an AI researcher/engineer before 2027?

Will the US or California require licenses to train large AI models before 2026?

Limits on AI model size by 2026?

Which kind of computers will be the standard for AI models in 2034?

Will an AI model outperform 95% of Manifold users on accuracy before 2026?

Will xAI ship an AI model similar to Deep Research before February 4, 2026?

Will the US restrict transfer of trained AI models before 2026? (Deny some entities)

Before 2026, will frontier AI models get much better at expressing calibrated uncertainty in their answers?

Will a model costing >$30M be intentionally trained to be more mechanistically interpretable by end of 2027? (see desc)

10GW AI training run before 2029?

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