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'Keep AI on the leash' because it's far from perfect, says OpenAI's cofounder Andrej Karpathy
'Keep AI on the leash' because it's far from perfect, says OpenAI's cofounder Andrej Karpathy

Business Insider

time14 hours ago

  • Business
  • Business Insider

'Keep AI on the leash' because it's far from perfect, says OpenAI's cofounder Andrej Karpathy

Andrej Karpathy thinks we're getting way too excited about AI, especially when it comes to deploying agents that act without supervision. In a keynote at an event hosted by Y Combinator earlier this week, the computer scientist said people need to "keep AI on the leash." The OpenAI cofounder said current large language models still make mistakes no human ever would. Karpathy likened LLMs to "people spirits" — uncanny simulations of human intelligence that hallucinate facts, lack self-knowledge, and suffer from "amnesia." "They will insist that 9.11 is greater than 9.9 or that there are two R's in 'strawberry,'" Karpathy said in a talk published on Y Combinator's YouTube channel on Thursday. "They're going to be superhuman in some problem-solving domains and then they're going to make mistakes that basically no human will make." Even though LLMs can churn out 10,000 lines of code in seconds, he said, that doesn't mean developers should sit back and let them run wild. "I'm still the bottleneck," he said. "I have to make sure this thing isn't introducing bugs." "It gets way too overreactive," he added. Karparthy urged developers to slow down and write more concrete prompts. "I always go in small incremental chunks. I want to make sure that everything is good," he said. "It makes a lot more sense to spend a bit more time to be more concrete in your prompts, which increases the probability of successful verification, and you can move forward," he added. Karparthy did not respond to a request for comment from Business Insider. The ​​OpenAI cofounder coined the term "vibe coding" in February to describe the process of prompting AI to write code. The idea, he said, is that developers can "fully give in to the vibes" and "forget the code even exists." AI still needs supervision Karpathy isn't the only one urging caution. Bob McGrew, OpenAI's former head of research, said on an episode of Sequoia Capital's "Training Data" podcast earlier this week that human engineers are still essential — not just to guide AI, but to step in when things get messy. When something goes wrong or if a project "becomes too complicated for AI to understand," a human engineer can help break the problem down into parts for an AI to solve. AI agents are like "genies," said Kent Beck, one of the authors of the seminal "Agile Manifesto" — they'll often grant your wish, but not always in the way you'd like them to. "They will not do what you mean. They have their own agenda," Beck said on a recent episode of " The Pragmatic Engineer" podcast. "And the best analogy I could find is a genie. It grants you wishes, and then you wish for something, and then you get it, but it's not what you actually wanted." Beck also said results are so inconsistent that using AI to code can sometimes feel like gambling. Despite the nascent tech's limitations, even the biggest tech companies are betting on AI for the future of coding. AI writes more than 30% of Alphabet's new code, up from 25% last year, said CEO Sundar Pichai on the company's most recent earnings call.

He helped write one of the seminal texts about software engineering. Here's what he thinks about AI agents.
He helped write one of the seminal texts about software engineering. Here's what he thinks about AI agents.

Business Insider

time3 days ago

  • Business
  • Business Insider

He helped write one of the seminal texts about software engineering. Here's what he thinks about AI agents.

AI agents are like "genies," said Kent Beck, one of the authors of the seminal "Agile Manifesto" — they'll often grant your wish, but not always in the way you'd like them to. "They will not do what you mean. They have their own agenda," Beck said on a recent episode of The Pragmatic Engineer podcast. "And the best analogy I could find is a genie. It grants you wishes, and then you wish for something, and then you get it, but it's not what you actually wanted." After 50 years in programming, including a stint at Facebook and a hand in the foundational text about agile software development, Beck said he's now having the most fun of his entire career — and it's partly thanks to AI agents, even despite their unpredictability. "I'm trying all of the tools," he said. "Because right now, nobody knows what process is going to work best. Nobody knows anything. We should all be trying all the things that we can imagine, and then the truth will emerge out of all of that. So that's what I'm doing." Beck was one of the 17 authors of the 2001 paper the " Agile Manifesto," which outlines four values and 12 principles for faster software development. The paper inspired the "agile method" of software development, which became commonplace in Silicon Valley because of its efficiency-boosting techniques. Today, AI is already being used to replace human labor, particularly in programming, where it's hitting early-career engineers the hardest while simultaneously speeding up software development. Given the current state of coding, Beck believes that fundamental organizational skills are increasingly important rather than particular technical specializations. "So, having a vision, being able to set milestones towards that vision, keeping track of a design to maintain the levels or control the levels of complexity as you go forward," Beck said. "Those are hugely leveraged skills now, compared to, 'I know where to put the ampersands, and the stars, and the brackets in Rust.'" Though Beck does incorporate AI into his process, he doesn't necessarily trust it, he said. The technology isn't consistent enough to be relied upon. "Sometimes it even seems like the agent kind of has it in for you," he said. "'If you're going to make me do all this work, I'm just going to delete all your tests and pretend I'm finished, ha, ha, ha.'" Results are so inconsistent, he added, that using AI to code can sometimes feel like gambling. "It feels like a rat and the pellet," he said. "It's like there's just a run button and I have to click it every time. And I click it and it is a dopamine rush because this is exactly like a slot machine. You've got intermittent reinforcement, you've got negative outcomes and positive outcomes." Once in a while, though, the output will be just right — and Beck will be tempted to spin the wheel all over again. "The distribution is fairly random, seemingly. So it's literally an addictive loop to have it. You say, 'Go do this thing.' And then sometimes it's just magic."

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