Researching on How to build an Intelligent Machine
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Unless the compute is reduced to a level below the capacity of private devices.
Remember huge computers which covers the whole room in the 70's and 80's but as technology evolved it shrinks down to pocket size and even smaller...
In terms of AI we're in the 70's. But now it
@LiorOnAI Do you think LoRA training in test time will be more effective in long run ?
As we try to introduce more and more new scenarios and tasks
And the batch is too low as well as the Lora training kicks in on every loop or B loops. so how effective the learning is
@_joe_harris_ todays humanoids are basically doing more inefficiently what industrial robots were capable of doing 10 years ago.
we have a long way to go
This is a first step towards understanding the world with model rather then training a model as a action policy generator.
The implementation would work very well in simulated environment where there are control space that can be defined with rules and transitions are deterministic.
4 personal thoughts about AI
1) AI/DL/LLMs have nothing in common with the brain. Deep Learning is based on backprop, the brain isn't
2) Anything with backprop is a dead end for understanding the brain. Don't let "brain-inspired" works like JEPA / HRM fool you [1/2]
as good as LLMs have become at understanding instructions and solving the task, they still don't produce the code i would
their solutions are always the 2nd or 3rd best way of doing something
you think this doesn't matter because so are yours
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