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Days after dead close Its own “tokenmaxxing” internal control panel after the news of the AI leaderboard Leaked to the pressLinkedIn co-founder and venture capitalist Reed Hoffman recently came out in support of the concept It took Silicon Valley by storm.
AI code is a small piece of data that an AI model processes when it tries to understand a prompt and create a response. It is also the unit used to measure the use of AI and determine the cost of AI services.
As a result, many companies have begun internally tracking which employees use the most tokens as an alternative to more easily understand those who adopt AI tools. They call this concept “tokenmaxxing” — “maxxing” is Generation Z lingo for improving something, as you may have heard in other slang, like “looksmaxxing” or “sleepmaxxing.”
However, engineers at tech companies have been debating whether or not this metric is a viable measure of productivity in the workplace, because it is like ranking people based on… Who spends more money From others.
In an interview broadcast at the Global Economy Summit organized by Semaphore this week, Hoffman offered his advice to companies adopting artificial intelligence, saying he has a positive view of the practice. Although he didn’t mention the metric in Gen Z’s speech, he expressed that tracking premium employee spending was a good idea.
“You have to get people in all different types of jobs engaged and experimenting (with AI),” Hoffman said at the event. “Here’s one of the things that’s a good dashboard to look at — not that it’s a perfect example of productivity, but… how much premium usage are people actually doing while they’re doing this?”
He continued by explaining that some people might use a lot of tokens, but in more random or exploratory ways, which is why you want to pair the practice of “tokenmaxxing” with understanding the things people use their tokens to do.
“Some experiments will fail, that’s OK,” Hoffman added. “But they’re in this loop, and we want a wide range of people to use them essentially, collectively, simultaneously.”
Hoffman shared other tips for companies trying to figure out their AI strategies as well, suggesting that AI should be integrated throughout the entire organization. He also suggested doing regular check-ins to share what’s working with others.
“We should have, basically, a weekly check-in. It doesn’t have to be everyone, all the time with each other — but a group check-in about ‘What did we try to do new this week, to use AI for both personal and group productivity and company productivity, and what did we learn?’ Because what you’ll find, some of the stuff is really amazing,” Hoffman said.