Inside OpenAI’s Race to Catch Up to Claude Code | EUROtoday

Katy Shi, a researcher who works on Codex’s habits at OpenAI, says that whereas some people describe its default persona as “dry bread,” many have come to understand its much less sycophantic fashion. “A lot of engineering work is about being able to take critical feedback without interpreting it as mean,” Shi says.

Several main enterprises have signed on to make use of Codex too. “The fact that ChatGPT is synonymous with AI gives us a massive advantage in the B2B market,” says Fidji Simo, OpenAI’s CEO of purposes. “Companies want to use technologies their workers are already familiar with.” OpenAI’s technique to promote Codex is basically primarily based on packaging it in with ChatGPT and different OpenAI merchandise, Simo stated.

Cisco’s president and chief product officer, Jeetu Patel, says he has advised workers to not fear about the price of utilizing Codex, as a result of they’ll should be snug with the device. When workers ask if “they’re going to lose their job because they’re using these tools,” Patel says, “what we have to tell our people is no, but I guarantee you’ll lose your job if you don’t use them, because you won’t be relevant. So you’re going to be out.”

Today, the panic round AI coding brokers has unfold far past Silicon Valley. The Wall Street Journal credited Claude Code with inflicting a $1 trillion tech inventory sell-off final month, as buyers feared that software program would quickly turn out to be completely out of date. Weeks later, IBM’s inventory had its worst day in 25 years after Anthropic introduced that Claude Code might be used to modernize legacy techniques that run COBOL, frequent on IBM machines. OpenAI has labored tirelessly to make its AI coding agent a part of the societal dialog, spending thousands and thousands of {dollars} on a Super Bowl industrial about Codex, quite than ChatGPT.

At the Mission Bay temple, nobody must be pitched on Codex. Many OpenAI engineers I spoke with stated they not often kind out code in any respect anymore. They simply spend their days chatting with Codex. And generally they get collectively and do it in congregation.

At headquarters, I sat in on a Codex hackathon—about 100 engineers crowded into a big room. Everyone had 4 hours to construct the perfect demo with Codex. A senior OpenAI chief stood on the entrance of the room, twisting away from the laptop computer in his arms and talking staff names right into a microphone. Team representatives nervously walked to a podium and gave quick speeches about their AI tasks by way of shaky voices. Winners acquired Patagonia backpacks.

Many of the tasks had been each created with Codex and designed to assist engineers use Codex higher. One group constructed a device that summarizes Slack messages into weekly reviews. Another group constructed an AI-generated Wikipedia-style information to inside OpenAI providers. Many of those demonstrations would have taken days or even weeks to spin up beforehand, however now they are often performed in a day.

On my manner out the door, I bumped into Kevin Weil, the previous Instagram government who’s now heading OpenAI for Science, the corporate’s new unit constructing AI merchandise for researchers. He advised me Codex was engaged on some tasks for him in a single day, and he would verify on them within the morning. That’s turn out to be common observe for Weil, and tons of of different workers. One of OpenAI’s targets for 2026 is to develop an automatic intern that does analysis on (what else?) AI.