Finally I took the time to read OpenAI’s post about their GPT-Live Realtime system.
If you’re interested in how to build such low-latency systems, I definitely recommend to check it out. But what I also had in mind while reading the article was the “no one needs programmers anymore in the age of AI” … Oh really? Well I don’t know how many people were involved in the whole project – and I’m pretty sure they used AI in the coding parts. But the whole process to get there, knowing how / where to measure latencies, how to circumvent them, enhancing the WebRTC protocol and designing a new, faster standard, checking geo-location impact, shadow testing, etc … Oh boy, do I see people talking and engineering tasks there.
And that reminds me of an alumni event recently, where a student asked whether it still pays off to study computer science: I think it never paid off to study computer science to become a ‘code writer’. But knowing HOW to build stuff still matters.
AI doesn’t eliminate the need for engineering — it amplifies it.
But sure, maybe you don’t need a team of 10 people anymore to build the same tool(s) as before. But you still need people who understand what needs to be built and how. – Not even to mention the role of a good ProductOwner that also does not build everything that users and stakeholders are requesting.
Check out their blog post / article: How we built a realtime system for responsive voice AI in six months
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