Articles

Credo AI CEO Navrina Singh On Governing AI at Scale

Credo AI CEO Navrina Singh explains how automated safeguards turn governance into a growth engine and help enterprises scale AI safely

AWS will be a $1T business, Jassy says. But first, it will spend big.

Amazon wants to be the king of AI cloud computing and become the first $1 trillion revenue business. But to do that it will have to continue on its capex spending spree, its CEO said Thursday.

WeWork CEO explains how a dress code and RTO flexibility changed the culture at the once-troubled company

John Santora took the helm of the company in 2024, shortly after it emerged from bankruptcy. Two years later, WeWork is making money.

Amazon CEO sees AI spending 'meaningfully' higher in 2027

Amazon will spend meaningfully more than $220 billion on AI infrastructure in 2027 even as free cash flow sinks.

Barry Diller has a plan for monetizing legacy media in the AI age

As part of Business Insider's The Long Play, media executive Barry Diller shared his thoughts on what successful businesses require.

Reddit is moving to “a logged-in-only experience,” CEO says

Reddit’s search traffic “was down meaningfully” last quarter.

A New Vision for Human Work After Automation

Frontier models are trained to satisfy the average user, which is why their outputs look impressive in a demo and fall apart the moment you apply them to a project you care about. Dan Shipper closes Thesis: 2027 with a vision for human work after automation—showing how we can build and work with AI that extends our perception and agency rather than replacing them.

Compound Writing: How to Make Your AI Know What You Know

After automation, decisions you once made yourself become decisions you have to equip an AI to make for you. That means deciding what AI needs to know, how to organize that knowledge, and when to bring it into the workflow. In this talk, Katie Parrott will show you how she works through those choices in Compound Writing and how you can apply the same approach to your own system.

From Vibe Checks to Evals

Turn your instincts about AI quality into repeatable evaluations. Mike Taylor explains how to choose human, model, and code-based checks so you can improve an agent, catch regressions, and compare models without losing your judgment.

Keep Going: Autoresearch and Learning Environments

Join Alex Duffy for a practical session on using AI to achieve ambitious goals—even those without a precedent. Explore the data industry, learn how reinforcement learning (RL) environments work, and discover how to train your own models beyond language models to solve problems and succeed at specific tasks.

Welcome to Thesis

Dan Shipper opens Thesis with a look at what becomes possible when AI takes on more of our work—and what that asks of the people building and using it.

Google is sunsetting its AI coding agent, Jules.

The Google graveyard: all the products Google has shut down