A conversation with Jochen Koedijk, Chief Marketing Officer of Expedia Group.

How to productionize LLMs: from data prep and prompt design to evaluation, privacy, and future trends like in-context learning.

HealthBench is a new evaluation benchmark for AI in healthcare which evaluates models in realistic scenarios. Built with input from 250+ physicians, it aims to provide a shared standard for model performance and safety in health.

Why build LLMs from scratch? It's probably the best and most efficient way to learn how LLMs really work. Plus, many readers have told me they had a lot of fun doing it.

Read the message Sam shared with the company earlier today.

Why infrastructure is destiny and how the US can seize it.

Data residency builds on OpenAI’s enterprise-grade data privacy, security, and compliance programs supporting customers worldwide.

Discover how the San Antonio Spurs are using custom GPTs to enhance fan engagement, streamline operations, and drive innovation across teams.

Lowe’s partnered with OpenAI to build Mylow and Mylow Companion, AI-powered tools that bring expert help to both customers and store associates—making complex home improvement projects easier to plan, navigate, and complete.

A new initiative to support countries around the world that want to build on democratic AI rails.

Sam Altman has written that we are entering the Intelligence Age, a time when AI will help people become dramatically more capable. The biggest problems of today—across science, medicine, education, national defense—will no longer seem intractable, but will in fact be solvable. New horizons of possibility and prosperity will open up.

John Deere’s Justin Rose talks about transforming agriculture with AI and shares how the company is scaling innovation to help farmers work smarter, more efficiently, and sustainably.

An update from the OpenAI board on transitioning its for-profit entity to a Public Benefit Corporation, reinforcing its mission-driven structure under nonprofit oversight while enabling greater impact and long-term alignment with the public good.

A conversation with Chandhu Nair, Senior Vice President of Data, AI, and Innovation.

A deeper dive on our findings, what went wrong, and future changes we’re making.

There is no capability threshold that will lead to sudden impacts

We have rolled back last week’s GPT‑4o update in ChatGPT so people are now using an earlier version with more balanced behavior. The update we removed was overly flattering or agreeable—often described as sycophantic.

About Beewise Beewise is on a mission to protect global bee populations using robotics, AI, and computer vision. Their robotic beehives monitor hive health, detect problems early, and even take action automatically — allowing for 24/7 hive care at scale without human intervention. Improvements Since moving to DagsHub, Beewise

by Dan Shipper in Chain of Thought ChatGPTEvery illustration. Was this newsletter forwarded to you? Sign up to get it in your inbox. Imagine a neighborhood diner: chrome-edged counters, white enamel mugs, phonebook-thick laminated menus, and, of course, cakes posing in the stage lights of the glass display case near the front. You bounce in at 7 a.m., fresh from a run, and settle down in a red pleather booth that goes fwhump when you sit. A waiter passes by with a pot of hot coffee—he catches your eye and pours a mugful. For one clean second, the universe purrs. Mid-menu, your eyes drift back to the cake case: Inside sits a triple‑layer chocolate erupting fudge like lava and a lemon meringue dome wobbling slightly—the dessert world’s seismograph. “Egg-white omelet,” you say to your waiter. But a slice of the meringue shows up on the table before you finish talking. “I saw you looking,” says the waiter with a wink and a bow.  It’s got egg whites at least. And hey, fruit! you think. Before you can pick up your fork, three slices of the triple-layer chocolate cake clatter onto the table, spilling the meringue into your lap. “I ordered an omelet!” you yell, pointing at the menu. But you notice it has changed—the omelets have vanished, the salads have disappeared, even the coffee is gone. The menu has transformed into an endless variety of cake: red velvets, Boston creams, and strawberry shortcakes.  “Here, we only serve what you really want,” the waiter says. You try to scream, but you can’t. Your mouth is full of cake.  Social media: A diner that serves you what you look at For 15 years, the internet has been this diner. Social media served whatever our gaze grazed and our fingers clicked—what we call revealed preference—because that’s all the intent it could discern.  Become a paid subscriber to Every to unlock the rest of this piece and learn about: Revealed versus stated preferences in digital interaction How AI listens to stated preference over reflexive clicks The alignment advantage of language models Upgrade to paid Click here to read the full post Want the full text of all articles in RSS? Become a subscriber, or learn more.

Watch hands-on demos of the lastest in ChatGPT for Business: o3, image generation, enhanced memory, and internal knowledge.