Comment by jagrsw | Hacker News Reader

Comment by jagrsw | Hacker News Reader

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Yes, considering that AI operates differently from human minds, there are several advantages:

  AI does not experience fatigue or distractions => consistent performance.
  AI can scale its processing power significantly, despite the challenges associated with it (I understand the challenges)
  AI can ingest and process new information at an extraordinary speed.
  AIs can rewrite themselves
  AIs can be multiplicated (solving scarcity of intelligence in manufacturing)
  Once achieving AGI, progress could compound rapidly, for better or worse, due to the above points.

The first AGI will probably take way too much compute to have a significant effect, unless there is a revolution in architecture that gets us fast and cheap AGI at once the AGI revolution will be very slow and gradual.

A model that is as good as an average human but costs $10 000 per effective manhour to run is not very useful, but it is still an AGI.

> A model that is as good as an average human but costs $10 000 per effective manhour to run is not very useful, but it is still an AGI.

Geohot (https://geohot.github.io/blog/) estimates that a human brain equivalent requires 20 PFLOPS. Current top-of-the-line GPUs are around 2 PFLOPS and consume up to 500W. Scaling that linearly results in 5kW, which translates to approximately 3 EUR per hour if I calculate correctly.

That is if the first model we make is as efficient as a human.

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