I'm a believer in the opportunity because I've seen what we've been able to do with the tech, but again, the unanswered question is whether or not the models will continue to get smarter at the pace they've been improving.

yes, the historic corporate loss numbers pale in comparison to the numbers we're talking about with gen AI, but that's b/c the potential market opportunity is perceived to be orders of magnitude larger for genAI.

The nature of the costs are different than the historic tech company (i.e., heavier on infrastructure rather than headcount), but the point remains the same. As long as each model's per token cost continues to drop dramatically, the problem will take care of itself (again, with the "value" caveat)

The normal pattern in tech (for the past 30 years) is that companies lose a shit-ton of money in their first 5-10 years...the model works b/c the winners in each space generate more than 90% of their cash flows ten+ years after they're founded (see salesforce, paypal, amazon, etc). Nature of tech.

IMO, the cost issue that you talked about is a non-issue IF the models continue to improve at a very high trajectory. Even as the models have improved dramatically over the past 18 mths, the estimated token costs OpenAI/others pay for each model has decreased by an order of magnitude.

You win, Nero....headshot added.

Thanks. I feel like I got my good side