Shyam Gollakota
Showing 1–2 of 2 transcripts.
- Y Combinator1h 24m
Why Robotics Still Isn't Solved - But Could Be Soon | YC Paper Club
Francois Chaubard, Marcel Torne, Milan Ganai, Tyler Ga Wei Lum, Niko West, Bill Jiao, Guanming Wang, Shyam Gollakota
Recent industry presentations address critical scaling barriers in robotics, including Sim-to-Real gaps, deformable object handling, and the lack of sensory feedback by introducing specialized architectures like Multi-Scale Embodied Memory and self-supervised Chain of Thought frameworks. Concurrently, a strategic shift toward "Robotics Application Companies" emphasizes proprietary data collection and teleoperation over generalist models, while new World Action Model optimizations reduce inference latency to enable real-time physical AI deployment. These technical and business advancements collectively aim to transition robotics from isolated demos to mass-market, long-horizon task execution.
- RAISE Summit21 min
From AI Adoption to AI ROI | Glean & Altimeter Capital | RAISE Summit 2026
Arvind Jain, Apoorv Agrawal, Vikas Khannabiswamy, Shyam Gollakota, Vikram Bajaj
Glean, co-founded by former Google and Rubrik executive Arvind Krishnan, differentiates itself in the enterprise AI market by building a proprietary context graph and retrieval layer rather than developing foundation models. The company is strategically pivoting from personal productivity tools to measurable departmental use cases like customer service and legal review to demonstrate clear return on investment amid rising infrastructure costs. By maintaining neutrality across major model providers and utilizing limited forward-deployed engineering, Glean aims to solve the critical gap between raw AI capabilities and secure, accurate enterprise implementation.