.@marcff, CEO of @Chalk, on why the cost of AI models haven’t dropped more.
“Even as chips get more powerful, workloads are scaling even faster. So that means more parameters, larger context windows, larger models. And so they're kind of outpacing.”
"Costs don't fall just because models improve. Costs fall when you get more efficient at what you're doing and when you learn how to use infra[structure] in the right way."
Watch the full episode on https://t.co/JeH50Fik86
@chalk redefines Speed: Real-Time Data in Under 100ms ⚡📊
.@Alex talks with Chalk's @marcff about why “speed is a feature” for every app, not just Google.
• Traditional flow: pre-process → batch jobs → feature store cache → app. Fast, but stale.
• Chalk: pull data directly from the source at inference time — super fresh, with real-time computation in 100ms or less.
• Nearly every pilot converts to a customer — it changes how teams think about app architecture.
• Chalk is hiring engineers + sales roles in SF & NYC.
Learn more: https://t.co/6JWQfcWnjP#AI #Data #MachineLearning #Startups #TechNews #ThisWeekInStartups
I'm thrilled to share -- it's a big day for @chalk ! It's been incredible to be on this journey with @Derander, @marx_elliot and our team.
A huge thank you to @htaneja, @jvrionis, and @patrickchung for betting on us and helping us get to this milestone
https://t.co/Y1CzPq7mjO
Stripe built a payments powerhouse by focusing on e-commerce. Now it’s following its customers into bricks and mortar. @DelRey: https://t.co/4e8IUefDuK