mirror of
https://github.com/SHOGGOTH-SECTOR/sica-fondt.git
synced 2026-08-01 08:30:20 +00:00
24f816b6a3
Place useful parts of the surrounding repos into sica-fondt by layer, per the
body model (Ada = membrane; brain/endocrine/capabilities/knowledge non-Ada):
- brain/ LLM reasoning + providers (dapr, hermes, MoMoA)
- capabilities/ REPRAG sidecars: hermes tools/skills, dapr tools, parallel
dispatch, A51 channels, and the OSINT cluster
- knowledge/ LORAG corpus: 754 cyber-skills, agency personas, secure-coding,
MITRE ATT&CK data
- reference/ defensive threat-reference (C3, shhbruh doc) + AdaYaml parser
License handling: AGPL sources (worldosint, advanced_evolution, mercury,
Reticulum) and GPL DeTTECT are SPEC-only clean-room/port descriptions — no
copyleft code copied. MIT/Apache/data parts copied as working trees.
Safety: shhbruh escape/persistence material and C3 covert-C2 kept as reference
only, not wired into the running organism. See CONSOLIDATION.md.
https://claude.ai/code/session_01UehUqEXXJJCsHoA4voCU5c
24 lines
629 B
BibTeX
24 lines
629 B
BibTeX
@incollection{Bengio+chapter2007,
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author = {Bengio, Yoshua and LeCun, Yann},
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booktitle = {Large Scale Kernel Machines},
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publisher = {MIT Press},
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title = {Scaling Learning Algorithms Towards {AI}},
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year = {2007}
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}
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@article{Hinton06,
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author = {Hinton, Geoffrey E. and Osindero, Simon and Teh, Yee Whye},
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journal = {Neural Computation},
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pages = {1527--1554},
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title = {A Fast Learning Algorithm for Deep Belief Nets},
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volume = {18},
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year = {2006}
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}
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@book{goodfellow2016deep,
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title={Deep learning},
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author={Goodfellow, Ian and Bengio, Yoshua and Courville, Aaron and Bengio, Yoshua},
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volume={1},
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year={2016},
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publisher={MIT Press}
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} |