You mention "Under the token model, the equation flips. You’re now selling output vs raw compute time. A token that helps an agent close a sales deal is worth a lot more than a token that summarizes a Wikipedia page, even though they cost roughly the same to generate. That’s the whole point of Jensen’s tiered token pricing vision - different points on the Pareto curve command different price points." How do you differentiate between "Wikipedia summarization" and "Closing a Sales Deal"
It seems like pricing could be open to judgement. How do you quantify "better" reasoning or more "reliable" agents well enough to price against that? Reputation perhaps?
More powerful models use longer context windows, and agentic workflows multiply token consumption. More tokens are being consumed, and the labs are not finished training the models. Why are you bullish on this?
Please, count me in if you plan to organize a virtual event/panel discussion on AI pricing & packaging. Would love to attend and gain further insights. Thx for putting together this awesome content, Jamin!
love this! wanted to double click: "but the pricing power lives at the premium end.". Are you saying that there's less value for folks like Modal trying to solve for batched inference?
You mention "Under the token model, the equation flips. You’re now selling output vs raw compute time. A token that helps an agent close a sales deal is worth a lot more than a token that summarizes a Wikipedia page, even though they cost roughly the same to generate. That’s the whole point of Jensen’s tiered token pricing vision - different points on the Pareto curve command different price points." How do you differentiate between "Wikipedia summarization" and "Closing a Sales Deal"
Would love to attend a town hall on the topic. Elena Verna at Lovable led a similar discussion in December which was great.
It seems like pricing could be open to judgement. How do you quantify "better" reasoning or more "reliable" agents well enough to price against that? Reputation perhaps?
More powerful models use longer context windows, and agentic workflows multiply token consumption. More tokens are being consumed, and the labs are not finished training the models. Why are you bullish on this?
Definitely would love to be part of a townhall etc to learn more and discuss
But what about the implementation details?
Please, count me in if you plan to organize a virtual event/panel discussion on AI pricing & packaging. Would love to attend and gain further insights. Thx for putting together this awesome content, Jamin!
love this! wanted to double click: "but the pricing power lives at the premium end.". Are you saying that there's less value for folks like Modal trying to solve for batched inference?