Meta shifts from "tokenmaxxing" to token managing as internal AI costs reportedly hit billions
Quick Answer
Meta is transitioning from 'tokenmaxxing' to 'token managing' as internal AI costs are projected to reach billions by 2027.
Quick Take
Meta is transitioning from 'tokenmaxxing' to 'token managing' as internal AI costs are projected to reach billions by 2027. A new central dashboard, 'AI Gateway', will oversee token consumption, emphasizing that token usage does not equate to progress or impact.
Key Points
- Meta's internal AI costs are expected to reach billions by 2027.
- A central dashboard named 'AI Gateway' will manage token consumption.
- CTO Andrew Bosworth emphasizes that token usage isn't a measure of progress.
- The shift aims to improve budget allocations and efficiency in AI operations.
- 6,000 employees are affected by this strategic change.
Article Excerpt
From source RSS / original summaryAn internal memo to 6,000 employees reveals Meta is heading toward billions in AI costs from internal use alone. Starting in 2027, budgets, allocations, and a central dashboard called "AI Gateway" will govern token consumption. CTO Andrew Bosworth put it bluntly: "All motion is not progress and token usage alone is not a measure of impact of any kind. " The article Meta shifts from "tokenmaxxing" to token managing as internal AI costs reportedly hit billions appeared first on The Decoder.
Reader Mode unavailable (could not extract clean content).
Want this in your inbox every morning?
Daily brief at your local 8am — bilingual EN/中文, free.
More from The Decoder
See more →
OpenAI models now available on Amazon Web Services
OpenAI has launched GPT-5.5, GPT-5.4, and Codex on Amazon Bedrock, matching its own pricing. Currently, these models are available only in the US across commercial and government AWS regions, with usage contributing to existing AWS contracts.
