How to find what you are naturally good at? Perplexity founder Aravind Srinivas shares the career advice from Sam Altman that changed his life

There's a particular kind of career advice that sounds almost too simple to matter, until it ends up quietly running your whole life. Perplexity AI founder Aravind Srinivas's video is exactly that kind of moment, crediting a short exchange with OpenAI's Sam Altman for the confidence that eventually pushed him toward building one of the most talked-about AI companies in the world.

The Advice: Stop Chasing, Start Noticing

According to Srinivas, he once put a fairly direct question to Altman: how should someone figure out what to actually build a career around? Altman's reply wasn't a motivational speech. It was closer to a rule of thumb, go after the things that feel easy to you but seem to trip everyone else up.

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No elaborate framework, no five-step plan. Just a nudge to pay attention to where your effort-to-output ratio looks suspiciously good compared to the people around you.

The Kaggle Contest That Started It All

Back at IIT Madras, Srinivas wasn't the machine learning prodigy his current résumé might suggest. He's spoken before about how a roommate introduced him to Kaggle, the online platform where data scientists compete to build the best predictive models, and how he went in with essentially no formal training in the subject. By his own account, a lot of the terminology went straight over his head at first.

What he did have was a laptop, the Scikit-learn library, and enough stubbornness to keep experimenting. He fed in the data, tried a basic model, tweaked it, and kept going. Somehow, it worked well enough to win.

That single result didn't just earn him bragging rights on campus. It planted a question in his head that took years to fully answer: why had something that felt like guesswork to him turned out to be genuinely hard for other people to pull off?

Why the Advice Finally Made Sense

Fast forward through a PhD at UC Berkeley, research stints at OpenAI, Google Brain and DeepMind, and eventually the launch of Perplexity in 2022, and that old Kaggle memory apparently never really left him. The logic is almost uncomfortably simple: talent often doesn't announce itself as passion or brilliance. It shows up as things clicking a little faster than they should, problems feeling less intimidating than they're "supposed" to, and other people being visibly more stressed by tasks you barely notice. Altman's framing turns that quiet, easy-to-dismiss feeling into an actual signal worth acting on.

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The Internet Reacts

Once the anecdote started doing the rounds online, reactions split into two camps. One set of commenters called it refreshingly practical — a reminder that the "follow your passion" cliché often leads people nowhere, while paying attention to genuine aptitude tends to be more useful. Others were quicker to point out that advice is cheap; plenty of founders have heard smart things from smart people and still failed to execute on them. What actually separated Srinivas, in their view, wasn't the tip itself but what he did with it afterward.

A few users leaned into humour, with one describing the whole exchange as a shortcut for spotting your own talent before the rest of the world does.

Strip away the billion-dollar company and the AI-industry name-dropping, and the advice holds up as something genuinely usable for anyone stuck figuring out their next move, student, job-switcher, or side-hustler. Instead of hunting for a grand passion that's supposed to announce itself, it's worth looking backward for a moment: What have you always found strangely painless, even when everyone else complained about it? That, more often than not, is where the real edge is hiding.