Chandrashekar Ramu
CEO at ZeroSwap
Chandrashekar Ramu is the CEO of ZeroSwap Labs and previously was a full stack developer at Frontier. He is a graduate of Dayananda Sagar Institution.
Current Roles
Past Roles
News Mentions
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
Who’s Afraid of Chinese Models? Everyone is worried about Chinese models, but the frontier labs will be fine; we need to enable open U.S. alternatives. https://stratechery.com/2026/whos-afraid-of-chinese-models/
there aren’t enough furries at the frontier labs in fact i actually don’t see a SINGLE ONE on this app either with a lab in their bio bearish on every single one until proven otherwise looking at you two especially, nous and prime intellect
So are the frontier labs now called “open model hopeful competitor labs”?
We map eight players in the stack: Chips. Clouds. Frontier labs. Open-weight labs. Inference. Harnesses. Applications. Enterprises. We place every pair inside six games: Intelligence. Distribution. Execution. Inference. Data. Users. Because the model is non-commutative, there are 9 players, 8 coun