OpenAI's head of Codex says the bottleneck to AGI is humanity's inability to type fast enough

"If you needed a sign for how determined AI-land is to achieve AGI quickly, it's that one of its leaders sees the speed of human typing as one of its biggest roadblocks. Alexander Embiricos, who leads product development for Codex, OpenAI's coding agent, said on "Lenny's Podcast" on Sunday that the "current underappreciated limiting factor" to AGI is "human typing speed" or "human multi-tasking speed on writing prompts.""

""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?" Embiricos said. Embiricos' view is that we need to unburden humans from having to write prompts and validate AI's work, since we aren't fast enough. "If we can rebuild systems to let the agent be default useful, we'll start unlocking hockey sticks," he said."

Human typing speed and human multitasking on writing prompts create a bottleneck for progress toward AGI because humans must write prompts and validate AI outputs. Agents can observe workflows, but without agent-led validation humans remain required to review code and results, limiting scale. Rebuilding systems so agents are default useful and can validate their own work would remove that bottleneck and enable rapid, hockey-stick productivity gains. No single automated workflow fits all use cases; each domain requires tailored approaches. Early adopters are expected to see steep productivity increases soon, followed by larger companies over subsequent years.

Read at Business Insider