The Power of Exploration in AI Building
Peter Steinberger, the visionary behind the viral AI agent OpenClaw and now a key figure at OpenAI, shares invaluable advice for anyone venturing into the realm of AI technology, particularly AI agents. His journey underscores a crucial principle: the most effective way to build in today's AI landscape is through exploration, embracing a playful mindset, and allowing ample time for improvement.
"I wish I could say that I had the unified plan in the beginning, but a lot of it was just exploration," Steinberger candidly admitted. "I wanted things, and those things didn't exist, and let's say, I prompted them into existence."
During an engaging conversation with Romain Huet, OpenAI's Head of Developer Experience, on the inaugural episode of the company's "Builders Unscripted" podcast, Steinberger detailed the nascent stages of OpenClaw. He revealed that his initial foray into building lacked a concrete, pre-defined plan.
Steinberger initially set out to create a tool that would integrate with WhatsApp. However, he temporarily set it aside, anticipating that major AI labs would soon develop similar functionalities. His approach was rooted in experimentation, with a personal mission to "have fun and inspire people." By November of the previous year, he was surprised to find that his envisioned tool was not yet on the market, prompting him to develop the first prototype of what would become OpenClaw.
The true potential of his creation became evident during a weekend trip to Marrakesh. "Where it really clicked was where I was at this weekend trip in Marrakesh, and I found myself using it way more because it was so convenient there was no really good internet. But WhatsApp just works everywhere," he explained. The tool proved instrumental in tasks ranging from finding restaurants and researching information on his computer to sending messages to friends.
AI's Evolving Problem-Solving Capabilities
As Steinberger delved deeper into experimenting with the technology, he recognized the remarkable problem-solving prowess of modern AI models, drawing parallels to the skills of human coders.
"Now they can just, like, actually come up with the solutions themselves, even though you never programmed them at all," he remarked.
Steinberger emphasized that the development process itself led to improvements in his workflow. He urges fellow developers not to get discouraged, as mastering these new skills takes time.
He observed that some developers, accustomed to traditional coding methods, struggle when they try newer approaches. "There's these people that write software in the old way, and the old way is going to go away," he noted. These individuals might attempt what's sometimes called "vibe coding" but are often disappointed with the initial results.
Steinberger offered a provocative perspective, stating, "I think vibe-coding is a slur," suggesting that the term simplifies a process that is far from straightforward, especially in its early stages. "They try AI, but they don't understand that it's a skill," he asserted, likening the experience of coding with AI to learning a musical instrument.
"You're not going to be good at guitar on the first day," he quipped. Instead, he advocates for a more playful and experimental approach to learning. He now possesses an intuitive sense of how long a prompt should take to yield results. If a task exceeds his expectations, he analyzes the situation to identify potential issues and adapts accordingly.
"My advice always is, approach it in a playful way. Build something that you always wanted to build. If you're at least a little bit of a builder, there has to be something on the back of your mind that you want to build. Like, just play," he concluded.
This emphasis on experimentation and enjoyment is particularly vital at a time when concerns about AI potentially displacing jobs are prevalent. Steinberger offered a reassuring outlook: "If your identity is: I want to create things. I want to solve problems. If you're a high agency, if you're smart, you will be in more demand than ever."
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