Looks like the licensing deals last year were pilot programs for the real product they just launched.
As AI models get more complex the data requirements will too. It will be a massive market.
$CHGG
https://t.co/MLo9RW0TY4
Data will become one of the most important inputs for LLMs as we go forward.
Differentiated high quality data will be key for the winner of the AI race.
$chgg is uniquely positioned to deliver that data. It’s why they are working with all the top labs.
I was DMing with @chilling_dc and he makes an interesting case for $CHGG. This is what he told me:
“The network they used of phds and professors to teach students can now be used to teach ai via unique training sets. Upstart within the company. Assets alone were worth 4x the market cap before this, but this growth driver could be nuts. Scale ai was bought by Meta for 400x the current market cap of chegg (with a worse network) and the chegg ceo introduced Zuck to Cheryl Sandburg at his wife’s Christmas party to create the juggernaut we know today. I think they have meta, apple, OpenAI, and possibly msft/anthropic on board.
All these models need high quality data and chegg through sheer luck of building a network of experts over the years has the unique ability to deliver that data at scale”
I took a small position with some play money. This is a high risk but high reward play.
If these companies are working with them, could be big.
Not financial advice. 😬
$INTC will be the winner here.
We should want 40% of leading edge chips made here. And we should want a U.S. company with U.S. owned IP. I’ll just keep saying it. 😮💨💪🏻
Progress is powered by partnership. Intel + @nvidia are working together to deliver new possibilities in AI and PCs.
Before you log off for the night, what inspires you most about this collaboration?