I love how bears think companies are completely incapable of verifying token efficiency. In their mind CFOs have absolutely no idea how much to order. $1m or $100m a quarter. No idea
In the real world, obviously, the job of the CTO is to supervise token usage. Spy on the exact queries if they must. Create novel efficiency metrics. Fire employees who divert tokens for personal projects. Distribute tokens according to proficiency. It’s not this impossible task the bears imagine it is.
Reddit is the front stage of a play where stories are performed for entertainment.
Reality is backstage where actors are fighting, stagehands break props, and producers are desperately protecting the illusion.
AI is trained on the show, not the production, creating reddit physics.
Anthropic has confidentially submitted a draft S-1 registration statement to the Securities and Exchange Commission.
Pending completion of SEC review, this gives us the option to pursue an initial public offering.
Read more: https://t.co/onGZAhRLvD
His total spend would stay the same but his output and usage behaviors would drastically change.
He estimated he was getting $10k/month in tokens out of the $550/month he spends on his subscriptions.
As everything converts to unsubsidized usage billing, he expects his behavior to change from "let's ask five models" to "which model(s) gives me the best output per dollar".
I’ve been struck by this phenomenon in much of the discussion around Hormuz. Who exactly should one listen to for systems as complex and reflexive as energy? (Evidently not IEA.) Is it even possible to make meaningful predictions for out-of-distribution shocks like strait closure given all of the second-order effects that one has to model? Are all forecasts fatally conceited?
His total spend would stay the same but his output and usage behaviors would drastically change.
He estimated he was getting $10k/month in tokens out of the $550/month he spends on his subscriptions.
As everything converts to unsubsidized usage billing, he expects his behavior to change from "let's ask five models" to "which model(s) gives me the best output per dollar".
Interviewed a dev today spending $550/month on personal LLM subscriptions.
He thought it was worth it for now but also said that it was to arbitrage the subsidized pricing and stay up to date on how the latest models performed.
Indicated this behavior would instantly change with usage based pricing.
Interviewed a dev today spending $550/month on personal LLM subscriptions.
He thought it was worth it for now but also said that it was to arbitrage the subsidized pricing and stay up to date on how the latest models performed.
Indicated this behavior would instantly change with usage based pricing.