Remove the SciMLBenchmarks compatibility bump projects

I will just complete these probably tomorrow, should have the assets working soon, so should take these down.

Author: ChrisRackauckas

small_grants.md

@@ -277,44 +277,6 @@ PDE discretiations.
 
 **Reviewers**: Chris Rackauckas
 
-## SciMLBenchmarks Compatability Bump for Benchmark Sets (\100 each set)
-
-The [SciMLBenchmarks](https://github.com/SciML/SciMLBenchmarks.jl) are a large set of benchmarks maintained
-by the SciML organization. As such, keeping these benchmarks up-to-date can be a time-consuming task.
-In many cases, we can end up in a situation where there are many package bumps that need to happen. Sometimes
-no code needs to be updated, in other cases the benchmark code does need to be updated. The only way to tell
-is to start the update process, bump the project and manifest tomls, and start digging into the results.
-
-These bumps are done in subsets. The currently identified subsets are:
-
-#### BayesianInference
-
-* [https://github.com/SciML/SciMLBenchmarks.jl/pull/1182](https://github.com/SciML/SciMLBenchmarks.jl/pull/1182)
-* [https://github.com/SciML/SciMLBenchmarks.jl/pull/1106](https://github.com/SciML/SciMLBenchmarks.jl/pull/1106)
-* [https://github.com/SciML/SciMLBenchmarks.jl/pull/1105](https://github.com/SciML/SciMLBenchmarks.jl/pull/1105)
-
-#### AutomaticDifferentiationSparse
-
-* [https://github.com/SciML/SciMLBenchmarks.jl/pull/1023](https://github.com/SciML/SciMLBenchmarks.jl/pull/1023)
-* [https://github.com/SciML/SciMLBenchmarks.jl/pull/1033](https://github.com/SciML/SciMLBenchmarks.jl/pull/1033)
-* [https://github.com/SciML/SciMLBenchmarks.jl/pull/1069](https://github.com/SciML/SciMLBenchmarks.jl/pull/1069)
-
-**Information to Get Started**: The
-[Contributing Section of the SciMLBenchmarks README](https://github.com/SciML/SciMLBenchmarks.jl?tab=readme-ov-file#contributing)
-describes how to contribute to the benchmarks. The benchmark results are
-generated using the benchmark server. It is expected that the developer checks that the benchmarks
-are appropriately ran and generating correct graphs when updated, and highlight any performance
-regressions found through the update process.
-
-**Related Issues**: See the linked pull requests.
-
-**Success Criteria**: The benchmarks should run and give similar results to the pre-updated benchmarks,
-and any regressions should be identified with an issue opened in the appropriate repository.
-
-**Recommended Skills**: Willingness to roll up some sleaves and figure out what changed in breaking updates.
-
-**Reviewers**: Chris Rackauckas
-
 ## Update CUTEst.jl to the Optimization.jl Interface and Add to SciMLBenchmarks (\$200)
 
 [CUTEst.jl](https://github.com/JuliaSmoothOptimizers/CUTEst.jl)