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Tokenmaxxing is dead, long live tokenmaxxing

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Re: Tokenmaxxing is dead, long live tokenmaxxing

#32
post #25

Earlier quoted context omitted.

Yes, and Uber was trying to recuperate what investments in data centers? Come on now. Let's not think that we are all smarter than management at these companies.

Your business will suffer greatly for your short-sightedness. But yeah, go imitate Uber, I am sure you will get just as big as they are this way. Everybody knows Uber's success comes from Apple Vision Pro making their developers oh so productive. You should go to the Apple store right now. Your livelihood now depends on tokens remaining subsidized. How long do you think your engineers will continue to have the indepe…

I never said go imitate Uber's strategy. I just challenged the person who claimed that these companies are only doing it to recuperate data center investments when Uber doesn't have any data center investments.

Re: Tokenmaxxing is dead, long live tokenmaxxing

#35

Tokenmaxxing was just a way to force employees to start leveraging AI in a meaningful way. For companies that have measured performance based on token spend, they can now dial it back. Employees have learned to leverage AI for things they wouldn’t have prior. Now they know what’s possible and what’s not. No one is stupid enough to always measure performance based on token spend and have unlimited budget. It was alway…

> Tokenmaxxing was just a way to force employees to start leveraging AI in a meaningful way.

Of course not. That is not what it achieved or could possibly achieve.

> Management felt like employees weren't leveraging AI fast enough.

I agree it was about their irrational feelings.

Re: Tokenmaxxing is dead, long live tokenmaxxing

#36
post #11

Tokenmaxxing was just a way to force employees to start leveraging AI in a meaningful way. For companies that have measured performance based on token spend, they can now dial it back. Employees have learned to leverage AI for things they wouldn’t have prior. Now they know what’s possible and what’s not. No one is stupid enough to always measure performance based on token spend and have unlimited budget. It was alway…

You're naive, uninformed or turfing if you think companies are still not tokenmaxxing. Also tokenmaxxing was never an intentional and smart strategy employed by companies like you say. It was a mix of fear of missing out, signaling to investors they were in on the hype and recouping investmenets in data centers

CEOs are just as, if not moreso, susceptibility to fomo than everyone else!

Re: Tokenmaxxing is dead, long live tokenmaxxing

#37
post #11

Earlier quoted context omitted.

You're naive, uninformed or turfing if you think companies are still not tokenmaxxing. Also tokenmaxxing was never an intentional and smart strategy employed by companies like you say. It was a mix of fear of missing out, signaling to investors they were in on the hype and recouping investmenets in data centers

Yes, and Uber was trying to recuperate what investments in data centers? Come on now. Let's not think that we are all smarter than management at these companies.

> Let's not think that we are all smarter than management at these companies.

Outside of a few well run companies, it's hard not to feel like the average IC is smarter than their leadership.

Re: Tokenmaxxing is dead, long live tokenmaxxing

#38

Tokenmaxxing was just a way to force employees to start leveraging AI in a meaningful way. For companies that have measured performance based on token spend, they can now dial it back. Employees have learned to leverage AI for things they wouldn’t have prior. Now they know what’s possible and what’s not. No one is stupid enough to always measure performance based on token spend and have unlimited budget. It was alway…

[deleted]

Re: Tokenmaxxing is dead, long live tokenmaxxing

#40

What is meant by a "loop" here? Just repeating the same prompt until you get the desired result? Are subsequent repetitions too close to each other?

> Just repeating the same prompt until you get the desired result?

Not necessarily the desired result, but until it's 'done', where the LLM itself is the judge on if the is the case according to the given criteria (often just an updated todo-list). One of those extremely simple 'harnesses' (if you can even call it that) was even named the 'Ralph Wiggum Loop' [1] to allude to the braindead-but-persistent tokenmaxxing it results in.

[1] https://awesomeclaude.ai/ralph-wiggum

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