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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Eric Steinberger

MAGIC

In 2022 Eric realized that AGI was closer than he had previously thought and started Magic to automate the software engineering necessary to get there.

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Clay Bavor

Sierra

Clay describes how companies can capture their brand voice, values and internal processes to create AI agents that are delightful and truly represent the business.

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JIM GAO

Phaidra

Jim discusses the challenges of AI readiness in industrial settings and how we have to build on top of the control systems of the 70s and 80s to achieve the promise of the Fourth Industrial Revolution.

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Lin Qiao

fireworks

Fireworks Founder and CEO Lin Qiao, previously leader of the PyTorch team at Meta, discusses how fast inference and small models will benefit startups and enterprises.

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Thomas Dohmke

GITHUB

GitHub CEO Thomas Dohmke discusses how a small team at GitHub built Copilot on top of GPT-3 and quickly created a product that developers love—and can’t live without.

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Joe Spisak

Meta

Joe talks about the launch of Llama 3.1 405B and tells us why he thinks even frontier models will ultimately commoditize—and why that’s a good thing for the startup ecosystem.

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Sebastian Siemiatkowski

Klarna

Co-founder and CEO Sebastian Siemiatkowski tells how Klarna shipped its customer service assistant and how experimenting with AI is transforming the company.

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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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