OpenAI Codex Lead Says Typing Speed Of Humans Is Slowing Down AGI Development, All Details Here

While we can't deny the fast pace at which AI is moving forward, we still agree that the fruition of Artificial General Intelligence (AGI) is far ahead of us. And now, the latest stamen coming from OpenAI Codex head Alexander Embiricos suggested that the main reason behind the delay are humans. In an episode of Lenny’s Podcast, he said that the real limitation in reaching AGI right now is human typing speed and manual prompt management. He said that things like human multi-tasking speed on writing prompts or human typing speed are the current underappreciated limiting factor to the development of Artificial General Intelligence (AGI). As per Embricios, a lot of current workflow relies on humans to write prompts and review the output produced

by AI agents. He said that we can see fast-paced progress when AI agents can review work instead of humans. Embricios said, 'You can have an agent watch all the work you're doing, but if you don't have the agent also validating its work, then you're still bottlenecked on, like, can you go review all that code?'He further said, 'We need to unburden humans from having to write prompts and validate AI's work, since we aren't fast enough.' The Codex lead believes that re-engineering AI systems to make agents to by default be useful will open up new gates for productivity and growth. He said, 'If we can rebuild systems to let the agent be default useful, we'll start unlocking hockey sticks.'Also Read: Bondi Beach Shooting: Elon Musk's Grok Chatbot Produces Incorrect Responses, Here's What Happened

What Actually Is The Bottleneck In AGI Development?

Anyone with a little knowledge of things would know that only typing speed is not the only problem here. Current AI models are not yet at a point where they can work smoothly without human intervention, thanks to hallucination. As of now, ChatGPT 5.2 has shown considerable improvements, but still is way behind when it comes to AGI. Some basic non-negotiable aspects for AGI are continual learning, safety decision-making, autonomy, and more.