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# The Great Data Famine: Why the AI that Ate the Web Is Still Starving – Shwetank Kumar
[https://shwetank-kumar.github.io/posts/data-scarcity/](https://shwetank-kumar.github.io/posts/data-scarcity/…
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Cost evaluation is slow when many objects are present ($N^2$).
Using trees (https://github.com/KristofferC/NearestNeighbors.jl) may speed up cost computation to $\sim N\log N$.
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AFAICT costs must be constant, which limits the ability to reason about optimization.
One thing that would be interesting would be to parametrize cost based on the function inputs. For example the …
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In R, Xinanjiang model calibration only cost about 40s.
But in `MARRMoT`, the calibration is quite low efficiency. With the same forings, half hour passed, still no output.
Just wondering which …
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For the new user, the first question when using the GUI would be--what are we optimizing when selecting "optimization"? For us, it is obvious that cost optimization, and thus minimization of the LCOW,…
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We build our StateDiff from a list of OOrderedWrites - an indexed key: String -> value: String. In order to build a typed/structured StateDiff (see https://github.com/chainwayxyz/citrea/issues/1132), …
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# Issue
Gas costs are getting out of control. Specifically, `vote` now takes in excess of 500k as per the vyper estimate, and I don't think this includes the `max 200k` call to the validator's valida…
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# Proposal: CW20 Token Rewards Integration for NFT Staking Platform
## 1. Summary
Uju Labs proposes expanding the reward system to support CW20 tokens as staking rewards. This enhancement will allow…
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**Describe the bug**
When parsing optimal control problems (OCP) with quadratic objectives, CVXPY nearly doubles the number of optimization variables in the problem.
**To Reproduce**
In the code…