The following picture summarizes it …

The following picture summarizes it …

An addon that allows to see the size of your collection. Especially useful for large collections that may be larger than the allowed size limit.




Adds a new decay parameter for a total of 21 parameters.


FSRS 6.0 Integration
Changes
- Updated FSRS dependency to version 6.0
- Added support for FSRS 6.0 parameters with 21 weights (including decay parameter)
- Added decay field to card data structure
- Updated forgetting curve calculation to use decay parameter
- Modified deck configuration to support FSRS 6.0 parameters
- Updated simulator and retention calculation logic for FSRS 6.0
Key Features
- Decay Parameter Support
- Added
decayfield to card data structure- Default decay values:
- FSRS 6.0: 0.2
- FSRS 4.5/5.0: 0.5
- Updated forgetting curve calculation to use decay parameter
- Parameter Management
- Added
fsrs_params_6field to deck configuration- Maintained backward compatibility with FSRS 4.5 and 5.0 parameters
- Updated parameter optimization and simulation logic
- UI Updates
- Modified forgetting curve visualization to account for decay
- Updated deck options interface to support FSRS 6.0 parameters
Technical Details
- Updated protobuf definitions to include decay field
- Modified memory state handling to include decay parameter
- Updated SQLite storage to handle new decay field
- Adjusted simulator configuration for FSRS 6.0 parameters
Dependencies
- Updated FSRS dependency to latest version
- Updated various Rust dependencies to compatible versions
Testing
- Updated test cases to handle new decay parameter
- Modified forgetting curve tests to account for decay
- Updated simulator tests for FSRS 6.0 parameters
Notes
- This update maintains backward compatibility with existing FSRS 4.5 and 5.0 configurations
- Users can continue using their existing parameters until they choose to upgrade to FSRS 6.0
- The decay parameter provides more flexibility in forgetting curve modeling

From 6.8.1 back to 6.6.2 …
“Anki 25.01 Beta 1 revealed a bunch of regressions with the latest
Qt, and zero reports of improvements from it, so we’ll be better off
holding off on it for now, and perhaps reporting the deadkeys issue
to Qt once we’ve got a proper reproduction process.”

https://github.com/ankitects/anki/commit/cd1824165ffb0ba06f573e1e26f28078a35d93a9
It adds a future projection, although the vertical line has been removed for the sake of simplicity.


“L2 regularization will let the optimization become more stable/conservative for new users when they only have a few reviews for training.”

