Will it be possible to disentangle most of the features learned by a model comparable to GPT-4 this decade?

Will inflection AI have a model that is 10X the size of original GPT-4 at the end of Q1, 2025?

Will we have an open-source model that is equivalent GPT-4 by end of 2025?

Will a language model comparable to GPT-4 be trained, with ~1/10th the amount of energy it took train GPT-4, by 2028?

Will mechanistic interpretability be essentially solved for GPT-2 before 2030?

Will it be possible to disentangle most of the features learned by a model comparable to GPT-3 this decade? (1k subsidy)

By 2028, will there be a language model of less than 10B parameters that is superior to GPT-4?

Will a model as great as GPT-5 be available to the public in 2025?

Will there be an LLM (as good as GPT-4) that was trained with 1/100th the energy consumed to train GPT-4, by 2026?

By January 2026, will we have a language model with similar performance to GPT-3.5 (i.e. ChatGPT as of Feb-23) that is small enough to run locally on the highest end iPhone available at the time?