Clearly they need more layoffs, and for that matter why keep anyone around? After all, AI will be writing 100% of code in 2026.

Feels like they are debating internally whether to cut people or AI spending. Very healthy debate. Let's hope they spare people.

I actually do think token maxing is good, but they should have limited it per user. I find it reallly hard to get people to max out the Claude $100 plan, let alone the $200 plan. I understand the enterprise plans are different and more expensive, which is how you get these kinds of issues. But encouraging people to try things with AI is very important, and some amount of token maxing is importsnt.

At what point is there a difference between a burn rate and tokenmaxxing? Isn't it the same as during the dotcom bubble?

Protip: skunkworks type side projects are a great way to do tokenmaxxing when you don’t have enough work coming in, but still need to burn tokens to look productive. And because side projects are only governed by you, you can truly go nuts and let scope creep run wild. Soon enough, you’ll be one of those engineers burning six figures a month on AI and people will be in awe of your abilities, probably even elevating you to key AI evangelist positions within your company. And if you actually create something cool, you’ll be praised for your use of AI, and you can just say you built it all in a day or two instead of slacking off for months on your real work.

LLMs are great, I can understand using them in general. I can even understand chasing 100% weekly usage if you're using the gacha-like subscriptions since that's how you get the most value out of what you paid for.

These corporations are insane though. They're essentially ordering their employees to set money on fire or be fired themselves. Mind boggling.

Oof leader of bubble are starting to take a step back?

Tokenmaxxing is so dumb. You should never show your team how exactly you're measuring their performance; people will optimize for the metric, not the actual performance.

Classic Goodhart’s Law: when a measure becomes a target, it ceases to be a good measure.

>"He said that, based on talks with Uber's senior engineering leaders, he realized higher token usage did not translate into a proportional increase in useful consumer features."

Goodhart's law strikes again at someone with enough power to be both ignorant of it and make others suffer their ignorance. You cannot simply measure productivity by tokens spent just like you can't measure it by hours spent in a chair at a desk.