On the latest episode of Unsupervised Learning, Jacob is joined by two of the most influential minds in AI today.

🔹 Noam Shazeer, co-inventor of the Transformer

🔹 Jack Rae, Research Director at DeepMind and one of the leads behind Gemini’s Flash Thinking

We got to ask them all of the top-of-mind questions in AI today about where we are, where we’re headed and what it means for businesses and the world. Some key take-aways:

[0:00] Intro

[1:30] Exploring Gemini 2.0

[4:04] Challenges with Evals and Benchmarks

[6:14] Reinforcement Loops and AI Productivity

[8:15] Agentic Coding and AI in Development

[13:02] Multimodal Capabilities and Applications

[15:21] Future of AI: Complexity and Reliability

[19:02] Test Time Compute and Data Efficiency

[31:20] AI Research Culture and Breakthroughs

[38:59] Reflecting on Large Language Models

[39:37] The Rise of Vision-Based Models

[41:01] Native Image Generation and General Purpose Models

[41:35] AI in Healthcare and Specialized Models

[43:32] Shifting Timelines and Rapid Adoption

[46:48] Open Source Models and Competitive Edge

[49:30] AI's Impact on Education and Personal Lives

[55:10] AGI Risks and Safety Considerations

[57:33] Future of AI Companions

[1:02:17] Quickfire

With your co-hosts:

@jacobeffron

- Partner at Redpoint, Former PM Flatiron Health

@patrickachase

- Partner at Redpoint, Former ML Engineer LinkedIn

@ericabrescia

- Former COO Github, Founder Bitnami (acq’d by VMWare)

@jordan_segall

- Partner at Redpoint

Ep 58: Google Researchers Noam Shazeer and Jack Rae on Scaling Test-time Compute, Reactions to Ilya & AGI

Unsupervised Learning with Jacob Effron

Ep 58: Google Researchers Noam Shazeer and Jack Rae on Scaling Test-time Compute, Reactions to Ilya & AGI