I get the distinct impression that most of the focus for GPT5 was making it easier to divert their overflowing volume of queries to less expensive routes.
I’m thinking otherwise. I think GPT5 is a much smaller model - with some fallback to previous models if required.
Since it’s running on the exact same hardware with a mostly similar algorithm, using less energy would directly mean it’s a “less intense” model, which translates into an inferior quality in American Investor Language (AIL).
And 2025’s investors doesn’t give a flying fuck about energy efficiency.
Obviously it’s higher. If it was any lower, they would’ve made a huge announcement out of it to prove they’re better than the competition.
I get the distinct impression that most of the focus for GPT5 was making it easier to divert their overflowing volume of queries to less expensive routes.
I’m thinking otherwise. I think GPT5 is a much smaller model - with some fallback to previous models if required.
Since it’s running on the exact same hardware with a mostly similar algorithm, using less energy would directly mean it’s a “less intense” model, which translates into an inferior quality in American Investor Language (AIL).
And 2025’s investors doesn’t give a flying fuck about energy efficiency.
And they don’t want to disclose the energy efficiency becaaaause … ?
Because the AI industry is a bubble that exists to sell more GPUs and drive fossil fuel demand
They probably wouldn’t really care how efficient it is, but they certainly would care that the costs are lower.
I’m almost sure they’re keeping that for the Earnings call.
It also has a very flexible “thinking” nature, which means far far less tokens spent on most peoples responses.
It’s cheaper though, so very likely it’s more efficient somehow.
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Important to point out this is really only valid towards Western AI companies. Chinese AI models have mostly been open source with open papers.