Incremental revenue and cost-savings, at least for enterprises, is where it would show up. There’s also a present value consideration - if LLM’s make those dollars come into existence closer to the present, they are worth more.
The personal use case stuff is messy and subjective.
attributing incremental revenue to gross engineering effort is challenging, imo.
Cost savings is primarily a function of headcount here. Which is also easy to measure, and so if we take my thesis that easy to measure stuff is prioritized...
Yep - it’s impossible to separate experimental tokens vs value creating ones.
Ultimately the performance will be assessed via the income statement and cash flows of customers of the model producers.
Frankly in the window pre-IPO it’s in the best interests of OAI et al to show a line going to the top-right in relation to tokens, in their prospectus. What does that mean?
Tokens as a metric is the analogue of users as a metric.
In the end value per user is what matters in relation to being a healthy going concern and valuation in relation to Meta for example. Value per token is what should matter too - after all that’s what people are paying for.
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