Symbiogenesis
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-06.)
Symbiogenesis has 207 facts recorded in Dontopedia across 38 references, with 13 live disagreements.
Mostly:rdf:type(6), has per seed margins vs fedprox ft(5), analogous to(3)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (51)
Other subjects in dontopedia point AT this entity as a value. These are inverse relationships — e.g. "X motherOf this subject" — and answer questions the forward facts can't. Grouped by predicate.
comparesCompares(4)
- 50 Client Final Table
ex:50-client-final-table - Experiment 1
ex:experiment-1 - Message 2337
ex:message-2337 - Seed Experiment
ex:seed-experiment
containsTermContains Term(3)
- Search 1
ex:search-1 - Search 2
ex:search-2 - Search Query 1
ex:search-query-1
inspiredByInspired by(2)
- Lisa Megawatts Symbio Gpt 10m
ex:lisa-megawatts-symbio-gpt-10m - Lisa Megawatts Symbio Slm
ex:lisa-megawatts-symbio-slm
usedByUsed by(2)
- Metal Backend Rs
ex:metal-backend-rs - Metal Sgemm Kernels
ex:metal-sgemm-kernels
advocatesForAdvocates for(1)
- Lisamegawatts
ex:lisamegawatts
affiliatedWithTeamDevelopingAffiliated With Team Developing(1)
- Lisamegawatts
ex:lisamegawatts
appliesToModuleApplies to Module(1)
- Metal Gpu Feature
ex:metal-gpu-feature
appliesToModulesApplies to Modules(1)
- Metal Gpu Feature
ex:metal-gpu-feature
attemptedInformationRetrievalAttempted Information Retrieval(1)
- Omega Bot
ex:omega-bot
behindFeatureFlagBehind Feature Flag(1)
- Training Decision
ex:training-decision
canJoinPopulationAtAnyTimeInCan Join Population at Any Time in(1)
- New Clients
ex:new-clients
claimsClaims(1)
- Message 2026 03 20 06 16
ex:message-2026-03-20-06-16
comparesToConceptCompares to Concept(1)
- Content 1
ex:content-1
conductsReplicationStudyConducts Replication Study(1)
- Xenonfun
ex:xenonfun
confirmsInsightConfirms Insight(1)
- Xenonfun
ex:xenonfun
cooccursWithCooccurs With(1)
- Fedsym
ex:fedsym
decouplesDecouples(1)
- Harmonic Core Cargo Toml
ex:harmonic-core-cargo-toml
derivedFromLibraryDerived From Library(1)
- Fedsym Experiment
ex:fedsym-experiment
developingDeveloping(1)
- Lisa Watts
ex:lisa-watts
emphasizesInsightEmphasizes Insight(1)
- Xenonfun
ex:xenonfun
firstExplainedInDarwinianTermsFirst Explained in Darwinian Terms(1)
- Boris Kozo Polyansky
ex:boris-kozo-polyansky
focusesOnTopicFocuses on Topic(1)
- Xenonfun
ex:xenonfun
hasResearchFocusOnHas Research Focus on(1)
- Lisa Watts
ex:lisa-watts
implicatesEvolutionaryProcessImplicates Evolutionary Process(1)
- Experiments
ex:experiments
includeInclude(1)
- Lisa Naming Choices
ex:lisa-naming-choices
includesIncludes(1)
- Test Config Core Metal Symbiogenesis Resonate
ex:test-config-core-metal-symbiogenesis-resonate
involvesDecouplingOfInvolves Decoupling of(1)
- Action 3
ex:action-3
isFarSlowerThanIs Far Slower Than(1)
- Finetune
ex:finetune
isGenuinelyIs Genuinely(1)
- Proposed Approach
ex:proposed-approach
isInspiredByIs Inspired by(1)
- Lisa Watts AI Research
ex:lisa-watts-ai-research
isOperationalDomainOfIs Operational Domain of(1)
- Weight Space
ex:weight-space
isRepositoryForIs Repository for(1)
- Symbiogenesis Github
ex:symbiogenesis-github
isSpeedInBetweenIs Speed in Between(1)
- Finetune
ex:finetune
isSuitableForScalingIs Suitable for Scaling(1)
- Mlx
ex:mlx
isUsedInIs Used in(1)
- Boltzmann Selection
ex:boltzmann-selection
makesPitchMakes Pitch(1)
- Lisamegawatts
ex:lisamegawatts
neverSeeEachOthersDataInNever See Each Others Data in(1)
- Clients
ex:clients
neverSeesRawDataInNever Sees Raw Data in(1)
- Server
ex:server
presupposesExistenceOfPresupposes Existence of(1)
- Text
ex:text
presupposesSymbiogenesisViabilityPresupposes Symbiogenesis Viability(1)
- Lisamegawatts
ex:lisamegawatts
readyNowReady Now(1)
- Xor Parameter Efficiency
ex:xor-parameter-efficiency
slowerThanSlower Than(1)
- Finetune
ex:finetune
structureStructure(1)
- Phases
ex:phases
usesAsMetaphorUses As Metaphor(1)
- Lisa Watts
ex:lisa-watts
Other facts (199)
The long tail: predicates that appear too rarely to warrant their own section. Filter or scroll to find a specific one. Each row links to its source.
| Predicate | Value | Ref |
|---|---|---|
| Rdf:type | Algorithm | [30] |
| Rdf:type | Algorithm | [31] |
| Rdf:type | Search Term | [33] |
| Rdf:type | Library | [34] |
| Rdf:type | Dependency | [37] |
| Rdf:type | Software Module | [38] |
| Has Per Seed Margins Vs Fedprox Ft | +1.2pp | [25] |
| Has Per Seed Margins Vs Fedprox Ft | +2.1pp | [25] |
| Has Per Seed Margins Vs Fedprox Ft | +1.1pp | [25] |
| Has Per Seed Margins Vs Fedprox Ft | +2.7pp | [25] |
| Has Per Seed Margins Vs Fedprox Ft | +1.8pp | [25] |
| Analogous to | Continual Learning in AI | [2] |
| Analogous to | Mitochondria | [9] |
| Analogous to | Mitochondria | [27] |
| Avoids | multi-round synchronization | [25] |
| Avoids | waiting for stragglers | [25] |
| Avoids | proximal term requiring the global model broadcast back | [25] |
| Contrasts With | Gradual Mutations and Individual Competition | [3] |
| Contrasts With | Standard Methods | [9] |
| Has Alternative Name | Serial Endosymbiotic Theory | [3] |
| Has Alternative Name | Endosymbiotic Theory | [3] |
| Outperforms | Neat Style Nas Baseline | [13] |
| Outperforms | Tensorneat Hybrid | [23] |
| Avoids Need to | restart training | [25] |
| Avoids Need to | synchronize rounds | [25] |
| Benefits From | Client Diversity | [25] |
| Benefits From | Diversity | [31] |
| Exceeds Capabilities of | Fedprox | [25] |
| Exceeds Capabilities of | Scaffold | [25] |
| Faster Than | Neat in Unit | [29] |
| Faster Than | Neat Algorithm | [30] |
| Has Comparison Advantage Over | Fedprox | [31] |
| Has Comparison Advantage Over | Scaffold | [31] |
| In Neural Networks | Neural Networks | [1] |
| Commits to | Bio Inspired AI Ontology | [1] |
| Has Git Hub | github.com/MonumentalSystems/Symbiogenesis | [1] |
| Explores | Independent Neural Modules Merging | [1] |
| Addresses | Catastrophic Forgetting | [1] |
| Is Novel Framework for | Continual Learning | [1] |
| Is Novel | true | [1] |
| Preserves Previously Learned Capabilities | Co Adapting Neural Modules | [1] |
| Presupposes | Biological Symbiogenesis Exists | [1] |
| Inspired by | Biological Symbiogenesis | [1] |
| Is Evaluated As | novel metaphor | [2] |
| Is Novel Metaphor for | Solving Catastrophic Interference | [2] |
| Embodies Teleological Preservation | Function | [2] |
| Is | Continual Learning | [2] |
| Provides Biological Inspiration for | Evolving AI Project | [2] |
| Involves | Merger of Organisms | [2] |
| Presupposes Existence of | Endosymbiosis Events | [3] |
| Superior to | Natural Selection Alone | [3] |
| Draws From Historical Context of | Early 20th Century Biology | [3] |
| Demonstrates That | Major Evolutionary Advancements From Symbiotic Mergers | [3] |
| Inspires Continual Learning Solution | Lisa Watts AI Research | [3] |
| Is Possible for | Other Organelles | [3] |
| Is Evaluated As Leading | true | [3] |
| Positively Evaluated by | Text | [3] |
| Is Leading Evolutionary Theory of | Origin of Eukaryotic Cells From Prokaryotic Organisms | [3] |
| Ontologically Commits to | Symbiosis As Evolutionary Driver | [3] |
| Axiological Value of | Cooperation Over Competition | [3] |
| Is Metaphor for | Continual Learning in AI | [3] |
| Models Biological Process | symbiogenesis | [4] |
| Commits to Evolutionary Paradigm | null | [5] |
| Is Ongoing Process | null | [6] |
| Achieves Convergence in Less Time | true | [7] |
| Uses Fusion in Distillation | true | [7] |
| Uses Dynamic Lr | true | [7] |
| Biologically Inspired | Endosymbiosis | [7] |
| Lacks Optimizations | true | [7] |
| Achieves Convergence in Less Compute | true | [7] |
| Never Overfits Due to | Gelation Signal | [7] |
| Performs Better Wide Than Deep | true | [7] |
| Superior to Standard Training on Some Tasks | true | [7] |
| Close Replication on Cifar10 | ~CLOSE | [7] |
| Is Nas Method | true | [7] |
| Achieves Convergence in Less Params | true | [7] |
| Replicates Paper on Mnist | YES | [7] |
| Uses Fusion in Moe | true | [7] |
| Related to | Symbio | [8] |
| Has Branch | Metalverificationreplication | [8] |
| Connects Tasks at | Boundary | [9] |
| Implies Modular Architecture | Structural Territory | [9] |
| Teleologically Separates Tasks | Task | [9] |
| Is Key Insight | confirmed | [9] |
| Protects Knowledge by Separation | Old Knowledge | [9] |
| Gives to Each Task | Structural Territory | [9] |
| Provides Ga Results | Per Layer Lr Multipliers | [10] |
| Compared to | Symbiogpt | [11] |
| Superior in Speed | Neat in Unit | [12] |
| Has Mean Wall Time Per Seed | 2.7s | [12] |
| Is Much Faster Per Seed Than | Neat in Unit | [12] |
| Completes Tasks in Time | 1-2 seconds of log time | [12] |
| Has Efficiency Advantage | Neat in Unit | [12] |
| Is Slightly Ahead on | Final Combined Accuracy | [12] |
| Is Faster by Factor | 357x | [12] |
| Processes Num Tasks | 5 | [12] |
| Starts Condition | Fast Phase | [12] |
| Is Fusion Based Evolutionary Search | null | [13] |
| Is Often Stronger Than Differentiable Nas Baselines | null | [13] |
| Used Less Wall Clock Time on Average Than | Tensorneat Hybrid Search | [13] |
Timeline
Timeline axis is valid_time — when each source says the fact was true in the world, not when Dontopedia learned about it. Retracted rows are kept for provenance; coloured stripes indicate the context kind.
References (38)
ctx:genes/lisa-watts/resume-professional-profilectx:genes/lisa-watts/research-catastrophic-forgettingctx:genes/lisa-watts/research-symbiogenesisctx:discord/blah/training-and-evals/part-16ctx:discord/blah/training-and-evals/part-20ctx:discord/blah/training-and-evals/part-22ctx:discord/blah/watt-activation/part-1ctx:discord/blah/watt-activation/part-2ctx:discord/blah/watt-activation/part-12ctx:discord/blah/watt-activation/part-34ctx:discord/blah/watt-activation/part-33ctx:discord/blah/watt-activation/part-308ctx:discord/blah/watt-activation/part-307ctx:discord/blah/watt-activation/part-347ctx:discord/blah/watt-activation/part-441ctx:discord/blah/watt-activation/part-461ctx:discord/blah/watt-activation/part-466ctx:discord/blah/watt-activation/part-469ctx:discord/blah/watt-activation/part-488ctx:discord/blah/watt-activation/part-507ctx:discord/blah/watt-activation/part-537ctx:discord/blah/watt-activation/part-584ctx:discord/blah/watt-activation/part-306ctx:discord/blah/watt-activation/part-438ctx:discord/blah/watt-activation/part-434ctx:discord/blah/watt-activation/part-543ctx:discord/blah/watt-activation/12- full textwatt-activation-12text/plain3 KB
doc:agent/watt-activation-12/2b226561-3075-47ab-89b3-591d7663c93bShow excerpt
[2026-02-27 14:42] xenonfun: the codebase already computes SVD in model.py:effective_rank (files: Screenshot_2026-02-27_at_9.41.31_AM.png) [2026-02-27 15:41] xenonfun: (files: Screenshot_2026-02-27_at_10.41.22_AM.png) [2026-02-27 15:44] xe…
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doc:agent/watt-activation-33/0fa8e7f8-efd0-4c82-af4a-9c3ceafd81b3Show excerpt
[2026-03-06 22:35] xenonfun: Evaluation at iteration 65000 ====================================================================== Prompt: 'virtue is' Generated: 'the new york yankees for the two thousand two-five season: the first time, in …
ctx:discord/blah/watt-activation/306- full textwatt-activation-306text/plain3 KB
doc:agent/watt-activation-306/30c0ba9e-3024-4e7b-95ee-126989bd8d45Show excerpt
[2026-03-14 13:10] ajaxdavis: it stores that psyche profile everyday, might be funny to analyze a year from now [2026-03-14 13:11] ajaxdavis: maybe i should just see a therapist though [2026-03-14 13:12] foxhop.: lmao [2026-03-14 13:13] fox…
ctx:discord/blah/watt-activation/305- full textwatt-activation-305text/plain3 KB
doc:agent/watt-activation-305/4309ac1d-dc27-4020-9ee7-50e427dd436eShow excerpt
[2026-03-14 12:17] lisamegawatts: well we still crushing neat, but apparently that under compute matched baseline so we going to do yet another 5 seed for conclusive apples to apples neat vs symbio at NAS [2026-03-14 12:27] xenonfun: (file…
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doc:agent/watt-activation-432/e304fde8-6d9f-4493-9702-f0898ac2a38eShow excerpt
[2026-03-20 06:16] lisamegawatts: It means symbiogenesis is uniquely suited to federated in ways FedProx/Scaffold can't match: Communication: Clients upload their model once and go offline. No multi-round synchronization, no waiting for st…
ctx:discord/blah/watt-activation/436- full textwatt-activation-436text/plain2 KB
doc:agent/watt-activation-436/bc2ae024-df8e-494b-a583-969758bd9091Show excerpt
[2026-03-20 07:02] xenonfun: ⏺ That's a sharper take. Strip it to the essentials: Basic oscillators with natural frequencies on S^{d-1}. No Lohe sync, no coupling dynamics. The combinatorics of mixing groups from different clients IS the…
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doc:agent/watt-activation-439/3abd6d4e-d8b7-44f7-99ae-65a3fcc8b476Show excerpt
[2026-03-20 15:36] omega [bot]: 🔧 1/3: search ✅ Success **Args:** ```json { "query": "Lohe-Native FedSym oscillator group fusion FedSym PR #7 FedSym experiments symbiogenesis Kuramoto population Fashion-MNIST MNIST" } ``` **Result:** ```j…
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doc:agent/watt-activation-440/f34c9bb7-e014-464f-8af1-c15daa28e5fcShow excerpt
[2026-03-20 15:36] omega [bot]: Here’s an overview of the recent discussion and key points in your FedSym and symbiogenesis experiments: --- ### Overview - The main goal is to apply a novel federated learning approach called **FedSym** u…
ctx:discord/blah/watt-activation/464- full textwatt-activation-464text/plain3 KB
doc:agent/watt-activation-464/599938d0-3182-4b42-bb04-4488236f82bcShow excerpt
[2026-03-21 18:08] xenonfun: ``` Key observations: - Rust achieves significantly higher accuracy (99.1% vs 89.5% best) — the GPU-accelerated training does more effective optimization per epoch - Gelation detected at the same step (12)…
ctx:discord/blah/watt-activation/467- full textwatt-activation-467text/plain2 KB
doc:agent/watt-activation-467/c930d82c-5d05-4a3d-8a95-fd7a748d10a1Show excerpt
[2026-03-21 18:44] xenonfun: ``` Experiment 1a: MNIST (5k/1k, 200 iter) ┌────────────────┬─────────────────────────────┬─────────┐ │ │ Python │ Rust │ ├────────────────┼───────────────────────…
ctx:discord/blah/watt-activation/534- full textwatt-activation-534text/plain1 KB
doc:agent/watt-activation-534/02b3ec13-d159-4371-bf74-f8c2e99ffe84Show excerpt
[2026-03-23 03:50] xenonfun: ``` ─────────────────────────────────────────┬────────────────────────────────────────────────────┐ │ File │ Action │ ├───────────…
ctx:discord/blah/watt-activation/635- full textwatt-activation-635text/plain1 KB
doc:agent/watt-activation-635/51cf62c4-b2a9-45ba-92a3-ef56e3f8093dShow excerpt
[2026-04-16 00:04] xenonfun: ``` 3. "Eval still all CPU" — you're right The metal-gpu feature compiles the Metal backend for other modules (bivector field, symbiogenesis, lohe_delta GPU dispatch, etc.) but WaveNativeLM has no Metal pat…
See also
- Neural Networks
- Bio Inspired AI Ontology
- Independent Neural Modules Merging
- Catastrophic Forgetting
- Continual Learning
- Co Adapting Neural Modules
- Biological Symbiogenesis Exists
- Biological Symbiogenesis
- Solving Catastrophic Interference
- Function
- Evolving AI Project
- Merger of Organisms
- Continual Learning in AI
- Endosymbiosis Events
- Natural Selection Alone
- Early 20th Century Biology
- Gradual Mutations and Individual Competition
- Major Evolutionary Advancements From Symbiotic Mergers
- Lisa Watts AI Research
- Other Organelles
- Serial Endosymbiotic Theory
- Endosymbiotic Theory
- Text
- Origin of Eukaryotic Cells From Prokaryotic Organisms
- Symbiosis As Evolutionary Driver
- Cooperation Over Competition
- Endosymbiosis
- Gelation Signal
- Symbio
- Metalverificationreplication
- Boundary
- Structural Territory
- Task
- Mitochondria
- Old Knowledge
- Standard Methods
- Per Layer Lr Multipliers
- Symbiogpt
- Neat in Unit
- Final Combined Accuracy
- Fast Phase
- Tensorneat Hybrid Search
- Neat Style Nas Baseline
- Neat
- Standard Baselines
- Darts
- Wandb
- Cnn Benchmark
- Original Paper
- Rust
- Python
- Standard Symbiogenesis
- Chimera Governor
- Tensorneat Hybrid
- Proposed Approach
- Organisms
- Null
- Client Diversity
- Fedprox
- Scaffold
- Heterogeneity
- Federated Learning
- Fedprox Ft
- Cross Device Federated Learning
- Heterogeneous Clients
- Own Structural Territory
- Boundary Connection
- Neat in Unit
- Algorithm
- Neat Algorithm
- Communication Model
- Zero Data Sharing
- Weight Space
- Fuse Compress Evolve Loop
- Asynchronous by Design
- Join Any Time
- Drop Model to Server
- Block Diagonal Plus Compression
- Scales Up
- Advantage Grows With Clients
- Diversity
- Diverse Population for Evolutionary Search
- Feeds on Heterogeneity
- Organism Merger
- Search Term
- Library
- Experiment 1
- Dependency
- Harmonic Core
- Software Module
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