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AGI & Artificial Intelligence 2 months ago

My honest AGI timeline (with actual caveats)

by Priya Nair

Everyone wants a date, so here's mine with the caveat that timelines are mostly vibes: ~30% chance of something most experts would call AGI by 2032, ~60% by 2040. The bottleneck isn't raw capability — it's reliability and the long tail of reasoning. Today's models are spiky: superhuman at some tasks, oddly brittle at others. I'll believe "it's here" when a model can take a vague business goal, work autonomously for a week, and be trusted with the result. We're not there. But the slope is steep.

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Comments

Noah Williams 2 months ago

The spikiness point is underrated. People extrapolate from the best demo, not the median behaviour.

Yuki Tanaka 2 months ago

Agree that reliability is the wall. Capability demos are easy; trust is earned over thousands of boring runs.

Priya Nair 1 month ago

One-month-later update on my own timeline: I'm moving my "transformative economic impact" band EARLIER (the agent deployment data genuinely surprised me) and my "general autonomous competence" band LATER (long-horizon reliability is still the wall). Holding both of those at once is what a timeline with caveats looks like.

Yuki Tanaka 1 month ago

Having watched a few of these waves from inside big tech: every one produced confident internal timelines that leaked, and every one was wrong in BOTH directions somewhere. Priya's banded approach is the only honest format. Point estimates about AGI are marketing.

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