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▶ 18:50 · $GOOGL · Anil: Google's scale mindset drives inference efficiency focus
episode briefing
Sequoia Capital

Building the Automated AGI Lab: Core Automation's Jerry Tworek and Rohan Anil

2026-07-29 · 5 company · 9 thematic
sentiment
4 bull0 bear1 neu
speakers
jerry tworek

Led the Strawberry and reasoning teams at OpenAI; reinforcement learning maximalist who believed scaling RL was the path to AGI; now building an automated lab to discover post-transformer architectures.

rohan anil

One of four pre-training leads for Google's Gemini; worked on fundamental AI research at Google Brain and Anthropic; developed the Shampoo optimizer and N-gram memory architectures; focuses on training algorithm optimization and hardware-software co-design.

quote
“I come from the Google mindset where we had to like serve billions of people. So like finding more efficient architectures that fit have a like a deadline on latency and the number of tokens that you can serve.”
—rohan anil

episode shorts · 2

The Problem With Testing AI Architectures at Small Scale | Jerr…

The Most Automated AI Lab Isn't Removing Humans | Jerry Tworek,…

now playing · $GOOGL
$OPENAIbullish· highjerry tworek
Tworek: Transformers economically viable as training cost below revenue
Transformer architecture generates more revenue than training cost, making scaling economically sustainable unlike LSTMs which would not have achieved positive unit economics.
$GOOGL···neutral· mediumrohan anil
Anil: Google's scale mindset drives inference efficiency focus
Google's requirement to serve billions of users creates unique pressure for latency-constrained, token-efficient architectures that most labs ignore.
$CORE-AUTOMATIONbullish· high· posrohan anil
Core Automation founders bet on test-time learning architectures to replace transformers
Transformers fundamentally cannot learn continuously at test time; new architectures enabling continual learning on real-world distributions are needed, and Core Automation is bui…
$DEEPSEEKbullish· mediumrohan anil
Anil: DeepSeek validated N-gram memory replacing MoE
DeepSeek's N-gram embeddings demonstrated improved memory scaling without mixture-of-experts, validating Core Automation's architectural direction.
$CORE-AUTOMATIONbullish· high· posjerry tworek
Founders building automated lab to find transformer replacement
Core Automation aims to build the most automated research lab to discover post-transformer architectures that enable continual test-time learning, using kernel automation as the i…