Dhawal Shah
Founder & CEO at HeyElsa
Dhawal Shah is the founder and CEO of Elsa. Previously, he was the Chief Business Officer of Frontier and Chief Investment Officer of Bison Fund. As early as , as a technology entrepreneur, he participated in the establishment of WayFranchise.com, the main portal of Indian franchise, and provided consulting services to more than Plus brands and provided advice on market entry strategies.
Current Roles
Past Roles
News Mentions
RT @DCGco: "There's going to need to be a variety of decentralized AI solutions to the frontier labs. We launched @YumaGroup a little over…
RT @natolambert: There's no legal precedent that model outputs are IP. I'd argue it also doesn't stand up conceptually. The frontier labs…
RT @TFTC21: "Foreign adversaries, Marxists, national security hawks, effective altruists, and frontier labs angling for regulatory capture.…
Frontier labs entire business model is built on "distilling" the entire history of human creativity and intelligence, no? https://x.com/mkratsios47/status/2079933645888880708
The year is 2028. Chinese open models have commoditized the frontier labs to dust. Ramp is the most valuable AI company in the world. All is right. https://x.com/vral/status/2079267940021477864
RT @chamath: Tricking the US Government to protect frontier labs’ business model by using a China boogeyman is a mistake. It is protectin…
Tricking the US Government to protect frontier labs’ business model by using a China boogeyman is a mistake. It is protecting the equity of 5,000 people who are investors in OAI and Ant at the sale of everyone else. This would be a terribly stupid decision. Let the market sort this out! The eve
RT @petergostev: US frontier labs don't allow models for extensive cyber use, Chinese models get banned, so US firms don't have any access…
"Even if you're super bearish on open source's impact on frontier labs, what you're looking at is just another line item on the federal budget. Someone's going to be spending that money." @JohnArnoldTen31 on why AI training spend goes up no matter what.
Open weights don’t need full parity with frontier labs. They only need what I call “pleb parity”: get close enough on high-value, high-volume task at a time, so 20 specialized plebs can divide the work and level the game against one elite. When you have a gang of equally talented, frugal and relen