Sarvam

Browser Agents Don't Need Better Models. They Need Better Eyes. - Kushan Raj, ARK

Jun 28, 2026 · 4:26

Kushan Raj, a former Founding Engineer at Sarvam AI, argues that browser agents fail not because of weak models but because of poor interfaces: what the model sees, can do, and learns from. He built a browser-agent runtime that replaces raw DOM dumps (20k tokens) with a compact markdown representation (~1,800 tokens), uses stable action handles instead of one-click-per-call, and provides step-by-step feedback instead of pass/fail at the end. In demos, his agent using a cheap model completes multi-step tasks like downloading Aadhaar or booking a trekking site far faster than Claude, which gets stuck or scrolls unnecessarily. Raj plans to open-source the project and offer an API where users supply a URL and intent for execution, aiming to make browser agents faster, cheaper, and more reliable for everyone.

Gemma, DeepMind's Family of Open Models — Omar Sanseviero, Google DeepMind

Apr 20, 2026 · 15:26

Omar Sanseviero presents Gemma 4, Google DeepMind's latest family of open models, which range from 2B to 32B parameters and introduce a novel per-layer embedding (E2B) architecture optimized for on-device inference. The models feature multimodal understanding (images, video, audio), multilingual support across 140+ languages, and are released under an Apache 2 license. Within a week, Gemma 4 reached 10 million downloads, contributing to over 500 million total downloads for the Gemma family and 100,000 community-derived models. Sanseviero highlights official variants like Shield Gemma for content safety and MedGemma for medical tasks, as well as community efforts such as AI Singapore's Southeast Asian language models and Sarvam's sovereign AI initiative for India. He emphasizes real-world applications including cancer therapy pathway discovery and fully offline agentic tasks on phones and Raspberry Pis, arguing that open models are rapidly enabling high-performance, private, and customizable AI across diverse use cases.