Join us as we train our neural nets on all things AI. We ask leading AI researchers and builders critical questions about the evolving technologies and their implications for business and society.

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Misha Laskin

Reflection AI

Misha Laskin, co-founder of Reflection AI, talks about what we can learn from AlphaGo and Gemini to train the most reliable models for developers building agentic workflows.

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Kevin Scott

Microsoft

Microsoft CTO Kevin Scott discusses the shift across the ecosystem to more inference compute as the frontier models continue to improve, serving wider and more reliable use cases.

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Mike Knoop

ARC Prize

Zapier co-founder and head of AI Mike Knoop talks about ARC Prize, a $1M+ competition to solve ARC-AGI, a benchmark that measures the ability to efficiently acquire new skills.

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INFERENCE

The New Ideas Needed for AGI

By Sonya Huang & Pat Grady - July 2

The strength of LLMs is also their weakness. A truly general intelligence may require a certainty in thinking and reasoning that cannot be found in language.

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MATAN GRINBERG

ENO REYES

FACTORY

Factory’s Matan Grinberg and Eno Reyes are building a fleet of purpose-built agents designed to accomplish different tasks in the software development lifecycle, like code review or testing.

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INFERENCE

The Compound Lever: AI for Software Engineering

BY SONYA HUANG & PAT GRADY - June 25

For decades, software has provided the lever to move the world—now AI that can create software is levering that lever.

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HARRISON CHASE

LANGCHAIN

LangChain’s Harrison Chase explains custom cognitive architectures that allow agents to improve performance and find traction in the sweet spot of autonomy.

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INFERENCE

“Goldilocks” Agents

BY SONYA HUANG & PAT GRADY - June 18

Custom Cognitive Architectures are powering the quickening evolution of more capable and reliable AI agents.

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