Indicators / series
cl_ladder.nested_learning_hope.rung_research.pt
Source: Google Research blog (Google) · Google; short quotation · CSV
Google Research
| id | value | grade | as of date | published date | tier | audited vs reported | extraction method | review status | retrieved at | http status | content hash | supersedes id | url | flags |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 01ae8bf66cb9fa43 | 5.00 rung | grade D, evidence tier 7 | 2025-11-07 | 2025-11-07 | 7 | company_stated | manual | approved | 2026-09-10T06:54:23.442824Z | 200 | 803f6a2db263 | — | source page |
Raw snippets and dispute text
- 01ae8bf66cb9fa43 We test and validate Nested Learning through a proof-of-concept, self-modifying architecture that we call “Hope”, which achieves superior performance in language modeling and demonstrates better long-context memory management than existing state-of-the-art models.