

Anastasios Angelopoulos
Sixth-year PhD student at UC Berkeley. Focuses on theoretical statistics and model evaluation, and leads the Chatbot Arena project.
Top 3 podcasts with Anastasios Angelopoulos
Ranked by the Snipd community

81 snips
Jun 6, 2025 • 3h 32min
Trump-Musk Fallout Recap, Circle IPO Post-Game with CEO | Dylan Patel, Jeremy Allaire, Kat Cole, Dana Settle, Anastasios Angelopoulos, Patrick Blumen, Blake Scholl
Dylan Patel, Chief Analyst at SemiAnalysis, breaks down the latest in AI chip technology and global supply chains. Jeremy Allaire, CEO of Circle, shares insights on the IPO's impact on digital currencies and trust in finance. Kat Cole recounts her journey from hostess to CEO, while Patrick Blumenthal gives a firsthand look at NYC Tech Week and discusses drone warfare in Ukraine. Anastasios Angelopoulos introduces Lumarina, a platform revolutionizing AI evaluation through human preferences, promising a new era of user-centric AI experiences.

54 snips
May 30, 2025 • 1h 42min
Beyond Leaderboards: LMArena’s Mission to Make AI Reliable
Anastasios N. Angelopoulos, a UC Berkeley professor and AI researcher, along with LMArena cofounders Wei-Lin Chiang and Ion Stoica, delve into innovative AI evaluation methods. They discuss transitioning from static benchmarks to dynamic user feedback for better model reliability. Fresh data and community engagement are emphasized as essential for AI development. The conversation highlights personalized leaderboards, real-time testing challenges, and the importance of scaling their platform to meet diverse user needs and preferences, all while fostering an inclusive approach to AI.

46 snips
Mar 4, 2026 • 1h 16min
AI in Warfare, OpenClaw & The Stargate Mega-Campus | This Week in AI E3
Anastasios Angelopoulos, creator of LM Arena (Berkeley-born model evaluation platform). Naveen Rao, founder of Unconventional AI (hardware visionary rethinking compute for huge efficiency gains). They unpack on-device open-source agents, rethinking chip and datacenter design for scale and efficiency, the surge in token and compute demand, and how AI reshapes labor and infrastructure.


