27 SeptStarts in 1 day, 14 hours, 48 minutes and 14 secondsGlobal Tax & Compliance Search: Early AccessJoin early access โ†’
โ† Back to News
Harvey margins went from 50% to -50%, until they served their own model. Why more should train? AI Autonomy
News

Harvey margins went from 50% to -50%, until they served their own model. Why more should train? AI Autonomy

September 24, 20261 minuteView on LinkedIn

Harvey margins went from 50% to -50%, until they served their own model. Why more should train? AI Autonomy

Shout out to Ted Theodoropoulos ๐Ÿ‘‰๐Ÿฝ https://lnkd.in/p/e8GvFM4T

At The Beacon Collective UK I said: bless the braves who share numbers ๐Ÿ™๐Ÿฝ

Training is a treadmill yet offers a benefit: autonomy, not just sovereignty

Custom models can run on-prem and on EU soil ๐Ÿ‡ช๐Ÿ‡บ so...

...this opens the door to firms buying GPUs and running AI autonomously

When Harvey, Thomson Reuters and others start offering this business model...

...we'll see more firms like Latham & Watkins buy GPU's ๐Ÿ‘‰๐Ÿฝ Karin Johansson ๐Ÿ˜‰

I did not predict negative margins, I calculated them ๐Ÿ‘‰๐Ÿฝ https://lnkd.in/gcp7TuBK

Tokenomics: Harvey paid ~$3.00 per million tokens and earned $2.00...own model on rented GPUs runs $0.09 to $0.25, my estimate ๐Ÿ‘‡๐Ÿฝ

More to read