One thing to be mindful of is that you can get a simulation to behave in (almost) any way you want if you set the parameters right, so you should take care to understand the assumptions that you're baking into your sim before taking its results as gospel.
The requests would be a dimension-less quantity. There are a few examples of what those are and how they fit in:
- The frames in frames per second are dimensionless, thus the SI unit for FPS is frames/s. When the frames are periodic, such as monitor refresh rates are, the unit is Hz.
- Percentages are dimensionless quantities too, produced by divinding two quantities of the same dimension (ie unit). CPU%? That’s "busy second per second", which is dimensionless, and expressed as a percentage.
A dimensionless quantities don’t have any physical backing reality in terms of the, well, dimension in which you could measure it. Time, space, mass, etc.
Fun fact: angles are dimensionless! Both degrees and radians are just shorthands as divisions of the unit circle.
Think of those as event counts in an arrival process, then think of the events as impacts or strikes, and eventually you can come to the unit of countable Hurts.
These counts have implicit measurement windows since they are aperiodic. Rather than Hs representing "counts per second" akin to Hz being "cycles per second", I think we should combine it with an explicit window annotation. So 100 Hs/1s is the same rate as 6000 Hs/60s but with one second versus one minute counting interval.
There does not appear to be one in this robot, from what I am able to read about it. I think sometimes people assume there must be something like that to help balance.
This generalizes fixed 2-wheel dynamic balancers which mostly don’t have flywheels for stability either, the focus is on the dynamics of keeping the wheels under the center of gravity, or a bit offset when moving.
The novelty here is about switching between dynamic control policies while keeping them simple.
The author claimed that the models he modified with this layer repetition method topped the huggingface open llm leaderboard in his first post: https://dnhkng.github.io/posts/rys/
Do you remember the names of the previous experiments done on this? Would love to take a look.
Very interesting! I see that you've made a comment saying the other stuff you've tried is on the way as a second blog post, but what happens when you repeat these 7 layers once more? Does performance increase the more repetitions you do?
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